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Recent advancements in toxicology, modern technology for detection, and remedial measures for arsenic exposure: Review

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Abstract

Arsenic toxicity has become a major global health concern for humans and animals due to extensive environmental and occupational exposure to arsenic-contaminated water, air, soil, and plant and animal origin food. It has a wide range of detrimental effects on animals, humans, and the environment. As a result, various experimental and clinical studies were undertaken and are undergoing to understand its source of exposures, pathogenesis, identify key biomarkers, the medical and economic impact on affected populations and ecosystems, and their timely detection and control measures. Despite these extensive studies, no conclusive information for the prevention and control of arsenic toxicity is available, owing to complex epidemiology and pathogenesis, including an imprecise approach and repetitive work. As a result, there is a need for literature that focuses on recent studies on the epidemiology, pathogenesis, detection, and ameliorative measures of arsenic toxicity to assist researchers and policymakers in the practical future planning of research and community control programs. According to the preceding viewpoint, this review article provides an extensive analysis of the recent progress on arsenic exposure to humans through the environment, livestock, and fish, arsenic toxicopathology, nano-biotechnology-based detection, and current remedial measures for the benefit of researchers, academicians, and policymakers in controlling arsenic eco-toxicology and directing future research. Arsenic epidemiology should therefore place the greatest emphasis on the prevalence of different direct and indirect sources in the afflicted areas, followed by control strategies.
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Recent advancements in toxicology, modern
technology for detection, and remedial measures
for arsenic exposure: review
Bibha Kumari & Vijay K. Bharti
To cite this article: Bibha Kumari & Vijay K. Bharti (2022): Recent advancements in toxicology,
modern technology for detection, and remedial measures for arsenic exposure: review,
Biotechnology and Genetic Engineering Reviews, DOI: 10.1080/02648725.2022.2147664
To link to this article: https://doi.org/10.1080/02648725.2022.2147664
Published online: 21 Nov 2022.
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REVIEW ARTICLE
Recent advancements in toxicology, modern technology
for detection, and remedial measures for arsenic
exposure: review
Bibha Kumari
a
and Vijay K. Bharti
b
a
Department of Zoology, Magadh Mahila College, Patna University, Patna, India;
b
DRDO-Defence
Institute of High-Altitude Research (DIHAR), Leh, UT Ladakh, India
ABSTRACT
Arsenic toxicity has become a major global health concern
for humans and animals due to extensive environmental and
occupational exposure to arsenic-contaminated water, air,
soil, and plant and animal origin food. It has a wide range
of detrimental eects on animals, humans, and the environ-
ment. As a result, various experimental and clinical studies
were undertaken and are undergoing to understand its
source of exposures, pathogenesis, identify key biomarkers,
the medical and economic impact on aected populations
and ecosystems, and their timely detection and control mea-
sures. Despite these extensive studies, no conclusive infor-
mation for the prevention and control of arsenic toxicity is
available, owing to complex epidemiology and pathogenesis,
including an imprecise approach and repetitive work. As a
result, there is a need for literature that focuses on recent
studies on the epidemiology, pathogenesis, detection, and
ameliorative measures of arsenic toxicity to assist researchers
and policymakers in the practical future planning of research
and community control programs. According to the preced-
ing viewpoint, this review article provides an extensive ana-
lysis of the recent progress on arsenic exposure to humans
through the environment, livestock, and sh, arsenic toxico-
pathology, nano-biotechnology-based detection, and cur-
rent remedial measures for the benet of researchers,
academicians, and policymakers in controlling arsenic eco-
toxicology and directing future research. Arsenic epidemiol-
ogy should therefore place the greatest emphasis on the
prevalence of dierent direct and indirect sources in the
aicted areas, followed by control strategies.
ARTICLE HISTORY
Received 20 August 2022
Accepted 15 October 2022
KEYWORDS
Arsenic toxicity; toxicology;
human health; fish; mice
1 Introduction
The presence of inorganic arsenic (As) of geological origin is widespread in
water drawn from very deep wells in plain area, hilly area, and even shallow
wells in endemic areas. The global scenario for arsenic pollution has
CONTACT Bibha Kumari bibhak136@gmail.com Department of Zoology, Magadh Mahila College, Patna
University, Patna, 800001, India
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS
https://doi.org/10.1080/02648725.2022.2147664
© 2022 Informa UK Limited, trading as Taylor & Francis Group
changed with the discovery of new locations and sources, so more and more
people are being affected. Around 230 million people are currently living
with arsenicosis worldwide, a number that has dramatically increased over
the past ten years and is now 10 parts per billion (ppb) above the WHO’s
safe drinking water standard (Shaji et al., 2021). According to a recent
report, natural exposure to arsenic from groundwater is one of the most
serious concerns for human and animal health in over 103 countries,
including Bangladesh, India, Vietnam, Taiwan, China, Thailand, Pakistan,
Iran, Australia, Argentina, Brazil, Chile, Bulgaria, Canada, Czech Republic,
Egypt, and parts of the United States (Sanyal et al., 2020; Shaji et al., 2021).
Therefore, human exposure is widespread through the soil, air, water, and
food in different parts of the world, leading to arsenic poisoning (Sanyal et
al., 2020).
The other significant source of arsenic exposure is the anthropogenic
origin, like agrochemicals, wood preservatives, mineral processing, drainage
from acid mines, burning of fossil fuels, etc. (Bundschuh et al., 2021; Kumari
et al., 2017). Arsenic in water and other sources is present in three common
forms, e.g. inorganic salt, organic salt (monomethyl arsenic, common in
aquatic food sources), and gaseous form (arsine) (Kuivenhoven & Mason,
2021). Moreover, arsenic presence in drinking water is imperceptible, taste-
less, and odorless (Viscusi et al., 2015). Therefore, prolonged excessive
exposure to inorganic arsenic from drinking water and food is inevitable
for large populations who consume untreated water, causing endemic
arsenicosis (Oza et al., 2021; Sanyal et al., 2020). In addition, exposure to
other metals and environmental toxicants with arsenic is also of consider-
able public concern due to its strong interactions and complex pathogeni-
city, particularly with fluoride and lead in contaminated groundwater
(Kumar et al., 2020; Mondal & Chattopadhyay, 2020).
Therefore, the control and prevention of arsenic-induced disorders are
dependent on how early they are detected, as well as epidemiology and
toxicopathology. Numerous studies have shown that exposure to various
concentrations of arsenic in humans and animals can negatively affect their
bodies’ physiological processes and general health (Alvarado-Flores et al.,
2019; Bharti & Srivastava, 2009; Bharti et al., 2012a, 2012b; Tchounwou et
al., 2019). So, modern arsenic toxicology is, therefore, more specialized in
toxicity testing, molecular mechanisms on how arsenic interacts with cells
and other physiological systems, arsenic-other trace minerals interactions,
basic cellular, and developmental biology (Hahn & Sadler, 2020).
Furthermore, depending on its species effect, age, location, the form of
arsenic, feeding habits, etc., arsenic toxicity affects humans and animals
differently (Sanyal et al., 2020). Recent reports revealed that continued
exposure to arsenic also significantly increases the risk of illness and death
from cancer and heart, lung, kidney, and liver disease (Rahman et al., 2019).
2B. KUMARI AND V. K. BHARTI
The association between arsenic exposure and abnormal obstetric effects
like spontaneous abortion, stillbirths, embryonic death, pregnancy hyper-
tension, and gestational diabetes has also been observed in many developing
countries (Amadi et al., 2017). In addition, it is an independent risk factor
for cognitive impairment. Further, chronic arsenic exposure may affect
adult cognitive function dose-dependently (Wang et al., 2021a). Therefore,
there is a need to use modern arsenic detection and removal techniques and
establish a proper epidemiological database for effective preventive and
control measures of arsenic toxicity.
Although there are studies on arsenic’s toxic effects on different species
and remediation techniques, however, the specific epidemiology of arsenic
exposures, effective detection methods, and remediation are poorly under-
stood (Sage et al., 2017). Therefore, the current state of sources of arsenic
exposure, arsenic toxicopathology, health effects, therapeutic agents, mod-
ern techniques of nano-biotechnology-based detection, and remedial mea-
sures and crucial areas for future research are thoroughly reviewed in this
review paper. All the database . . . google, pubmed . . . cabi . . . etc are
reviewed from 2014–2021
2 Abiotic sources of human exposure to arsenicals
Arsenic (As) is a toxic metalloid element of the earth’s crust and is present
abundantly in the air, water, and soil in different valence states, viz. As(0),
As(III), As(V) and arsine gas (−3 oxidative state). The abiotic sources of
arsenic in the environment include geogenic (underground water, minerals,
and geothermal processes) and anthropogenic like mining operations,
industrial processes, agricultural activities, etc. (Nadiri et al., 2018, 2021;
Palma-Lara et al., 2020; Sanyal et al., 2020). Arsenic-contaminated soil is a
major source of arsenic exposure in humans by consuming plant-based food
cultivated on these soils (Dahlawi et al., 2018). These contaminated soils also
contribute arsenic to groundwater and surface water resources through
leaching and runoff mixed with the river, pond, etc. The geogenic contam-
ination can be further extended by unintended human and industrial
activities (Nadiri et al., 2018, 2021). So, polluted groundwater for drinking
and other household activities is a major source of arsenic exposure to
humans.
High arsenic level equal to or greater than 50 µg/L in groundwater has
been reported, especially in Southeast Asia and parts of India and
Bangladesh, which is alarming for society (Chakraborti et al., 2018). Other
studies indicated that the outside Asia population is also affected by arsenic
exposure through groundwater (Shahid et al., 2020; Shaji et al., 2021).
Interestingly, Bharti et al. (2017), Giri et al. (2017, 2019, 2020) reported
that water from high-altitude is also contaminated with arsenic and other
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 3
heavy metals. River sediment is another important source of arsenic in the
ground and river water (Shaji et al., 2021). These reports indicate wide-
spread arsenic contamination in water resources from high-mountain to
plain areas, irrespective of industrialization and other anthropogenic
sources.
The gaseous form of arsenic (arsine) is the most toxic form, and inhala-
tion of over 10 ppm to 25 ppm is lethal even in less than an hour. The
mining activities and burning of contaminated charcoal are causing air
pollution with arsenic (Zhao et al., 2019a). Arsenic does not cause tissue
irritation and is odorless; hence exposure to this arsine is unrecognizable.
To regulate water arsenic levels, earlier, the WHO set 50 parts per billion
(ppb) arsenic levels in drinking water throughout the exposure period but
revised it in 1993 to a lower level when it is considered to pose an unac-
ceptably high risk of cancer death. The current WHO guideline value is
temporarily set at 10 ppb due to arsenic detection and removal limits
(Cheng et al., 2016), although this is still considered an unacceptably high
health risk. So, every country should establish its own recommended level of
arsenic in drinking water; so far, various countries have set it from 50 ppb to
less than 10 ppb (Altowayti et al., 2021). So, it emphasized that more studies
are still required to evaluate arsenic in different abiotic sources for better
epidemiological study and control measures of arsenic toxicity and asso-
ciated health hazards.
3 Arsenic exposure through aquatic life
The high concentrations of arsenic in fish, crabs, shrimps, bivalves, and
other seafood have also been reported (Liu et al., 2019). These food animals’
products are the primary sources of organic arsenic for humans (Feng et al.,
2020). Several arsenic-based chemicals are used in the agricultural field,
wood industry, pharmaceutical industry, etc., which go into the river,
ponds, lakes, etc., and are exposed to aquatic animals (Kumari et al., 2017;
Tuteja et al., 2021). These aquatic contaminations by arsenicals are further
increased due to the high disposal of untreated sewage (Baeyens et al., 2007),
posing widespread arsenic toxicity in aquatic organisms and bioaccumula-
tion into their bodies. According to international water quality standards,
arsenic levels above 0.010 mg/L exposure result in bioaccumulation, mainly
in the muscles, liver, and kidneys of freshwater organisms, including fish
(Cui et al., 2021). One recent report observed very high biomagnifications
up to 2.05 ± 0.30 mg Kg − 1 in freshwater fish, although water contained
very low arsenic concentrations of 0.001 to 0.003 ppm (Alvarado-Flores et
al., 2019). These findings indicate that aquatic animal-based food should be
regularly monitored for arsenic concentration irrespective of harvesting or
culture sources.
4B. KUMARI AND V. K. BHARTI
There are many reports on algae aggravated arsenic exposure to aquatic
animals since algae additively act with arsenic to increase arsenic uptake and
assimilation in aquatic animals (Byeon et al., 2021; Milan et al., 2021).
Furthermore, algae retain arsenic, so consumption of these algae and plants
further magnifies the arsenic bioaccumulation in aquatic foods (Hussain et
al., 2021). Hence, water systems having high algae and arsenic are posing
more bioaccumulation in aquatic animals. So, increased algal biomass in
ponds, lakes, etc., is directly related to increased arsenic content in the
aquatic animal compared to ponds and lakes having lesser algal mass. The
other factors are the metabolic role of organs and their relationships with
arsenic, which affect the concentration of arsenic in aquatic organisms
(Juncos et al., 2019). Therefore, aquatic animals’ products obtained from
arsenic-contaminated ponds, rivers, etc., are an important source of arsenic
to human consumers.
However, Juncos et al. (2019) reported that despite high arsenic levels
in fish do not represent any health risk to consumers. Similarly, Liu et al.
(2020) found less arsenic in Chinese mitten crabs collected from different
locations in China and said that the intake of Chinese mitten crabs had
not posed any appreciable danger to human health. These findings could
be due to specific food habits of those human populations around the
study areas and other dietary factors. Hence, more studies are required to
correlate arsenic exposure to humans through aquatic animal origin
food.
4 Arsenic exposure through plant origin food
Other routes of arsenic exposure include food from those crops irrigated
with arsenic-contaminated water, as more arsenic is absorbed into plants
irrigated with arsenic-contaminated water (Allevato et al., 2019; Kaur et al.,
2017). So, plants are considered one of the most vulnerable matrices of
short- and long-term exposure to arsenic (Navazas et al., 2019). The top
layer of soil irrigated with arsenic-contaminated water acts as an arsenic
reservoir which can affect plants for longer periods even after irrigation has
stopped (Rehman et al., 2021). The contamination of vegetables and edible
grains is considered a significant exposure pathway by which arsenic enters
the food chain of livestock and human beings (Kumar et al., 2019). So,
agricultural fields should not be irrigated with polluted water to avoid
entering arsenic into the food cycle.
It has been well known that arsenic is also toxic to plants (plant toxins),
and higher soil arsenic levels affect crop yield (Dahlawi et al., 2018). Zeng et
al. (2021) investigated 157 crop varieties, including rice, vegetables, and
corn, and their risk of arsenic accumulation in edible parts with the help of
pot and field experiments. They found that rice has greater accumulation
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 5
even in low concentrations of arsenic in soil (56.7 mg/kg) but green tender,
cabbage, rapeseed, and amaranth appeared with the risk of exceeding the
limit for arsenic when the arsenic from the soil reached 238.3 mg/kg (severe
contamination). However, they reported that corn and tubers or fruit
vegetables had the lowest arsenic content in their edible parts, and sweet
potatoes, peanuts, peppers, and potatoes had less variation in arsenic accu-
mulation among varieties of the same crop. Paddy plant (Oryza sativa L.) is
particularly effective in absorbing arsenic from the soil due to its unique
mineral utilizing mechanism (Zheng et al., 2021). So, flooded paddy fields
may cause an increased accumulation of arsenic in rice and could become a
new catastrophe for the population of Southeast Asia (Thielecke & Nugent,
2018; Yan et al., 2021). Rasheed et al. (2018) found very high inorganic
arsenic concentrations in Pakistan, which were 92.5 ± 41.88μgkg
−1
, 79.21 ±
76.42μgkg
−1
, and 116.38 ± 51.38μgkg
−1
for raw rice, cooked rice, and wheat,
respectively. Thus, in addition to these crops, barley, vegetables, fodders,
etc., can also absorb arsenic and transport it to different ranges using similar
transporters (Zheng et al., 2021). More studies are required to understand
soil-water-plant interactions on bioaccumulation of varying levels of arsenic
to plant origin food and human exposure through soil and water.
5 Arsenic exposure through livestock origin food
Large amounts of arsenic have been reported in poultry and livestock origin
foods such as milk, boiled egg yolks, egg whites, liver, and meat (Das et al.,
2021). Generally, animals are exposed to arsenic through drinking water,
feed, grass, vegetables, and other contaminated foliage. In endemic arsenic
areas, irrigation with arsenic-contaminated water leads to soil contamina-
tion and subsequent transport of arsenic to forage grown on it and then to
livestock, resulting in excessive bioaccumulation of arsenic in livestock
products (Das et al., 2021; Zubair et al., 2018). A recent report revealed
that bio-concentration of arsenic occurs more rapidly in water compared to
rice straw, and when used as fodder, it manifests itself mainly in the excreta
and tail hair of cattle (Das et al., 2021). Cow dung and tail hair are other
apparent pathways for the biotransformation of arsenic in the environment
(Rehman et al., 2021). So, arsenic-contaminated edible vegetables and grains
are believed to be the main route of arsenic exposure into the food chain of
livestock and humans (Kumar et al., 2019). Giri et al. (2016, 2020) studies on
blood minerals status in dairy cattle and water quality at high-altitude have
revealed the arsenic presence in blood, which could be due to high arsenic
levels in fodder and water sources in that region. Therefore, contaminated
fodder, grains, and drinking water are considered important sources of
arsenic exposure to livestock population and livestock origin food, e.g.
meat, milk, and eggs.
6B. KUMARI AND V. K. BHARTI
According to reports, higher estimated daily intakes of arsenic from
livestock origin food exceed the recommended safe limits (Bala et al.,
2018;). Though chronic exposure to low levels of arsenic in livestock often
shows no external signs or symptoms, although the concentration of arsenic
(or its metabolites) in the blood, fur, hooves, and urine of animals from
contaminated areas remains high (Mondal, 2017). Importantly, due to
phosphoserine units in milk casein, arsenic in milk is mainly concentrated
in casein (83%) (Das et al., 2021). The severity-adjusted margin of exposure
(SAMOE) risk thermometer was calculated by Das et al. (2021) for the most
commonly eaten foods in the region. It displayed human health risks in
precise order: drinking water> rice grains> milk> chicken> eggs> lamb,
from level 5 to level 1. Njoga et al. (2021) reported a high level of arsenic
(0.53 ± 0.10 mg/kg kidney, 0.57 ± 0.09 mg/kg liver, and 0.45 ± 0.08 mg/kg
muscle) in goat meat collected from Enuga state of Nigeria. The United
States Environmental Protection Agency (USEPA) health risk assessment
model shows that adults face a higher risk than children (Sheng et al., 2021)
because eating animal protein foods that cannot be ignored in children has a
continuing risk of serious health hazards. Hence, more studies on the
arsenic level in livestock products and their toxicity in these food animals
are essential to understand human arsenic epidemiology in affected popula-
tions to overcome the severe arsenic crisis in the human community.
6 Toxic eects of arsenic
Understanding arsenic-induced diseases and carcinogen requires
research into toxic effect mechanisms, including identifying early diag-
nostic markers and drug development. As evident from the review of
the previous section, arsenic is everywhere in the soil, water, air, and
food chain and is considered a high-risk priority pollutant in various
parts of the world, even at low concentrations. The Environmental
Protection Agency (EPA) and the WHO have established less than
0.010 mg/L of the safe limit of arsenic in drinking water. In contrast,
the National Institute for Occupational Safety Health (NIOSH) has
recommended 2 µg/m
3
of air for no more than 15 minutes as a safe
exposure limit (Marcotte et al., 2017). Therefore, a higher arsenic
concentration than the recommended limit in drinking water and
food leads to acute and chronic arsenic poisoning and adverse cellular
metabolism changes in humans and animals (Sanyal et al., 2020).
Various toxicologists, biochemists, cell biologists, and other related
scientists have observed changes in physiological function and imprecise
signaling pathways in response to arsenic (Cardoso et al., 2020; Palma-
Lara et al., 2020; Wang et al., 2019). Due to high arsenic exposure, these
physio-pathological changes affect our body metabolism, reproductive
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 7
health, embryonic development, cancer incidence, cognitive function,
aging, immunity, and our symbiotic microbiome, summarized in an
illustrative manner (Figures 1, 2, & 3).
Many toxicokinetic reports revealed that arsenic is highly toxic in its
inorganic form than the organic form, especially the trioxide form (arsenite)
than the pentoxide (arsenate) (Dahlawi et al., 2018; Li et al., 2018; Polak-
Juszczak & Szlinder-Richert, 2021; Raman et al., 2021). Total of two-thirds
of ingested inorganic arsenic absorption occurs through the gastrointestinal
tract and is distributed in the hepatic, kidney, muscle, skin, brain, and other
Figure 1. Arsenic affecting the metabolic pathways.
8B. KUMARI AND V. K. BHARTI
parts of the body (Aribam et al., 2021; Cui et al., 2020). However, the
particulate form of arsenic is absorbed through respiratory routes and
later mixed with blood, causing hemolysis and affecting oxygen transport
to cells (Figure 2). While dermal absorption is significantly less and not
causing acute toxicity, however, caution should be maintained to avoid
dermal exposure as it may pose chronic toxicity (Sohrabi et al., 2021).
Arsenic excretion from the body is very slow and primarily occurs
through the renal system and depends upon valence state, the form of
arsenic, and body fat deposition (Sharma et al., 2020). Furthermore, the
elimination of inorganic arsenic in urine can be monitored up to the first
week of possible exposure, an important tool for epidemiology and clinical
studies (Srivastava and Flora, 2020). Serum arsenic concentration is not an
effective or reliable indicator of arsenic toxicity due to the rapid removal of
arsenic from the blood to tissues (Kuivenhoven & Mason, 2021). Further,
arsenic is teratogenic, can cross the placenta, and affects fetal development
(Gangopadhyay et al., 2019).
All the absorbed arsenic is distributed to bone, hair, blood, and hepatic,
renal, and connective tissues. After that, binding with the iron part of
hemoglobin, interacts with serum and cellular minerals, sulphydryl moieties
of protein, phosphate molecules, and transcriptional factors. The metabo-
lism of inorganic arsenic progress mainly through a sequence of repetitive
reduction and oxidative methylation (Thomas, 2021), the latter mediated by
arsenic methyltransferase (CYT19) (Hayakawa et al., 2005). Arsenic-
glutathione complexes are substrates for human CYT19. These cellular
and molecular changes lead to cascades of various pathological changes,
like impairment of cellular respiration, energy metabolism, protein synth-
esis, enzyme function, the oxygen-carrying ability of erythrocytes, aerobic
respiration (Figure 3), DNA repair, cell cycle, etc. These above arsenic-
induced pathological changes are flared up with other disease conditions,
oxidative stress, and deficiency of the antioxidant system (Prabu &
Sumedha, 2014).
These pathological changes ultimately lead to increased cellular and
tissue damage reported in various studies on arsenic toxicity. There may
be relevant environmental co-exposures of arsenic with other inorganic
compounds leading to a combined effect, with questions about the
mechanisms involved. Therefore, the epidemiology of arsenic toxicity
and its clinical signs is complex and needs a multidimensional collec-
tion of information on disease history, food habits, environment, clin-
ical laboratory reports, etc. This will help correct and timely diagnose
arsenic toxicity, excluding other similar clinical conditions and proper
control and preventive measures.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 9
7 Experimental advancement in detection of arsenic toxicity
The animal models used in studying human disease by toxicants are often
chosen because they are genetically, anatomically, and physiologically simi-
lar to humans. Therefore, bio-medical research using laboratory animals
like mice, guinea pigs, zebrafish, and fruit flies has significantly contributed
Figure 2. Arsenic absorbed by the blood cells causing hemolysis and affecting oxygen transport
to cells.
10 B. KUMARI AND V. K. BHARTI
Figure 3. Arsenic induced cellular respiration impairment and other pathological changes.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 11
to many important scientific and medical advances (Norberg-king et al.,
2018). Short-term in-vitro tests have been helpful in screening for a wide
variety of potentially toxic compounds of arsenic, safety assessment, and
carcinogenicity testing (Tsuji et al., 2019). Additionally, animal models are
generally preferred for research work for toxicology due to their ease of
handling and testing hypotheses about how a disease develops; however, an
appropriate number of subjects should be used to test the experiment’s
outcome statistically (Smith, 2020). These animal models have currently
used in arsenic toxicological studies as indicators of human health problems
and environmental monitoring. Hence, in this section, recent studies are
reviewed to provide experimental advancement in detecting arsenic toxicity
and mechanistic information to validate other alternative testing methods in
a wide range of studies.
7.1 Utilizing sh as an aquatic animal model
Although it is widely recognized that aquatic ecosystems serve as the
ultimate reservoir for many chemicals, including arsenic (Kumari &
Ahsan, 2011b; Rand et al., 2020), water serves as the ultimate vehicle for
exposure to many toxic substances. Fish is currently a well-known biological
model for toxicological research (Boudou & Ribeyre, 2018; Denizeau, 2018)
and can be used as a study model for arsenic toxicity to elucidate the
molecular mechanism. Indeed, the establishment of zebrafish, medaka
fish, and other schools of fish is probably at the forefront of biomedical
research (Hirata & Iida, 2018). Zebrafish have great potential for mechan-
istic study for arsenic and could be used more in the future.
Many biochemical processes have been studied in fish, including hetero-
logous metabolism, DNA damage, and repair induction, membrane trans-
port, disruption of ion homeostasis, oxidative stress, metallothionein
expression, and protein stress (Huggett, 2018). The effect of foreign bodies
on specific cellular functions, particularly those of immune cells and their
response to estrogenic compounds, has also received some attention. This
review has summarized the various studies on the effect of arsenic on
different fish species, and how this information can be utilized for toxico-
logical studies is presented in Table 1.
Arsenic has a high metabolic action in accumulation in various tissues
and organs of different fish species, such as O. mykiss, S. trutta, and Danio
rerio (Juncos et al., 2019; Wang et al., 2020). The toxic effects are dose-
dependent and through various mechanisms (Mekkawy et al., 2020; Tuteja
et al., 2021), being chronic exposures at low doses to higher doses for acute
exposure. Arsenic has a good effect at an extremely low amount (1-5ppb)
(Kumari & Ghosh, 2012a), while the same concentrations are lethal in other
fish species. Acute arsenic exposure causes symptoms like increased mucus
12 B. KUMARI AND V. K. BHARTI
Table 1. Arsenic toxicological research works on fish (arranged in chronological order). As
indicating Arsenic; iAs –inorganic Arsenic; As III- Trivalent Arsenic; AsV- pentavalent Arsenic,
As2o3- Arsenic tri-oxide; NaAso2- Sodium arsenite; Cu- copper.
SN Sp. Of Fish
Arsenic/
compound Parameters References
1Cyprinus carpio As Hematological, biochemical and
histomorphological
Tuteja et al. (2021)
2Danio rerio As Alteration in stress marker and
apoptotic gene
Mondal et al. (2021)
3Onchorhincus mykiss As Oxidative stress Milan et al. (2021)
4Gambusia affinis As III Nucleotide polymorphism Park et al. (2021)
5Clarias batrachus As2O3 Behaviour and Morphology Sahu and Kumar (2021)
6Curassius auratus iAs Biotransformation and
bioaccumulation in muscles
Cui et al. (2021)
7 Twelve fish As Bioaccumulation Raman et al. (2021)
8Scyliorhinus canicula As Accumulation Marques et al (2021)
9Morone saxatilis +
Esox lucius
As Lipid and protein level of muscles Charette et al. (2021)
10 Cyprinus carpio As Apoptosis pathway Wang et al. (2021a)
11 C. harengus,+S.
fuegensis +P.
dentatus
As As speciation Polak-Juszczak and
Szlinder-Richert
(2021)
12 Group of fishes In- vitro Bio accessibility Lin et al. (2021)
13 Mystus vittatus As Serum Biochemicals Prakash and Verma
(2020)
14 Curassius auratus i As Biotransformation Cui et al. (2020)
15 Clarias garipenus As Hemato- Biochemical Mekkawy et al. (2020)
16 Oryzias melastigma As Physiological based pharmacokinetics
model
Zhang et al. (2020c)
17 Pangasianodon
hypophthalmus
As III Stress biomarker Kumar et al. (2020)
18 Danio rerio As III & As V Bioaccumulation and
Biotransformation
Wang et al. (2020)
19 Salmo trutta As As in muscles tissue Shakeri et al. (2020)
20 Clarias garipenus As Hepatopathology Moneeb et al. (2020)
21 Clarias batrachus As2O3 Biochemical Pichhode and Gaherwal
(2020)
22 Platichthys stellatus As Growth and hematology Han et al. (2019)
23 O. mykiss & S. trutta As Bioaccumulation Juncos et al. (2019)
24 C. carpio As Bioconcentration Ghadersarbazi et al.
(2019)
25 O. mykiss As As speciation and accumulation Erickson et al. (2019)
26 Six fish As As accumulation Quintela et al. (2019)
27 O. melastigma As Bioaccumulation and antioxidant
responses
Chen et al. (2019)
28 Oryzias latipes As Cytotoxic and genotoxic Sayed et al. (2019)
29 C. carpio As Cardiotoxicity Zhao et al. (2019b)
30 Channa punctatus As Genotoxicity Singh et al. (2019)
31 Mystus vittatus As Lipid metabolism Prakash and Verma
(2019)
32 Anabas testidunes As Digestive enzymes Kole et al. (2018)
33 D. rerio As Neurobehavioral alteration Dipp et al. (2018)
34 O. mykiss As Oxidative stress response Kopp et al. (2018)
35 Mugilogobius chulae As Bioaccumulation of As in benthic fish Zhang et al. (2017a)
36 Callionymus
richardsonii
As Bioaccumulation & transformation Zhang et al. (2017b)
37 Heteropneustes
fossilis
As + Cu Hepatosomatic and Gonadosomatic
index
Singh and Srivastava
(2017)
38 Channa punctatus NaAsO2 Hematology Amsath et al. (2017)
39 Labeo rohita As Biomarker of Hepatoroxicity Banerjee et al. (2017)
40 S. trutta As Bioaccumulation, oxidative stress and
Antioxidant enzymatic defence
Greani et al. (2017)
(Continued)
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 13
secretion, defects in gill epithelial, and asphyxiation. In contrast, chronic
exposure led to bioaccumulation and various histopathological changes, e.g.
renal and hepatic degeneration, focal hepatic necrosis, bile duct obstruction,
proliferation in parenchymal hepatocytes (Kumari & Yashmin, 2018;
Moneeb et al., 2020). Furthermore, the increased arsenic accumulation
induces hyperglycemia, adverse changes in other biochemical and hemato-
logical parameters, down-regulation of antioxidant defense, inhibition of
enzymatic activities, immune system dysfunction, and reduced breeding
ability in fish (Han et al., 2019; Kumari & Ahsan, 2011b; Mekkawy et al.,
2020; Prakash & Verma, 2020; Tuteja et al., 2021). Later it causes poor
growth, behavioral changes, and death in fish and other aquatic organisms.
The other pathological markers of arsenic toxicity in fish are apoptosis of
brain cells (Wang et al., 2021b), an indicator of arsenic as a neurotoxin.
Milan et al. (2021) observed that arsenic toxicity adversely affected the
quality of rainbow trout (O. mykiss) fillets by inducing oxidative stress and
affecting the level of antioxidant enzymes. In another study on Clarias
batrachus, high blood glucose and tissue glycogen levels were low in mus-
cles, liver, and brain were observed (Kumari & Ahsan, 2011a, 2011b; Kumari
et al., 2012, 2015). The recent research by Han et al. (2019) and Mekkawy et
al. (2020) also supported these findings that arsenic affects glucose levels.
The effect of arsenic on fish’s skin and their pigmentation was noticed by
Kumari et al. (2013) when fish was exposed to arsenic for a week. Han et al.
(2019) reported the toxic effects of arsenic on Platichthys stellatus (P.
stellatus), which were higher at the highest temperature. They observed a
decrease in hematological and growth parameters with increasing arsenic
concentration, while higher concentrations of the plasma components were
detected. Kumari and Ghosh (2012b) observed the cellular damage in
erythrocytes of fresh water fish. These results indicate that exposure to
arsenic in water at high water temperatures may exert more toxic effects
on growth, hematological parameters, and plasma components
The arsenic contained in bottom sediments is biologically available to
benthic fish and their food and causes bioaccumulation. The body level of
Table 1. (Continued).
SN Sp. Of Fish
Arsenic/
compound Parameters References
41 Heteropneustes
fossilis
As + Cu Hepatosomatic and Gonadosomatic
index
Singh and Srivastava
(2017)
42 Heteropneustes
fossilis
As + Cu Hepatosomatic and Gonadosomatic
index
Singh and Srivastava
(2017)
43 Oreochromis sp. As Cortisol level Thang and Phuong
(2017)
44 Channa punctatus NaAsO2 Hematology Amsath et al. (2017)
45 S. trutta As Bioaccumulation, oxidative stress and
Antioxidant enzymatic defense
Greani et al. (2017)
14 B. KUMARI AND V. K. BHARTI
arsenic is positively correlated with the concentration of arsenic in sediment
but is not significantly related to water-soluble arsenic (Zhang et al., 2017b,
2018). Although nutrition is an essential means of uptake of arsenic in
benthic fish, most studies on the toxicity and metabolism of arsenic in
benthic fish have investigated how the absorption of arsenic contained in
water through gills and its consequences on their health (Hua et al., 2017;
Juncos et al., 2019). The scarcity of data and findings suggests that more
research is needed to investigate the toxicological effects and metabolism of
arsenic in fish to identify vital signs that can be used as reliable and sensitive
biomarkers of arsenic toxicity in environmental monitoring programs.
7.2 Using rodents as a small animal model
Biologically, rats and mice are very similar to humans and undergo many
similar physiological disorders and genetic expressions, so they can be
genetically engineered to mimic any disease or human condition
(Perlman, 2016). Rats or mice can be bred to produce genetically identical
lines, and this uniformity allows us for more accurate and repeatable
experiments (Zhang et al., 2019b). Hence, rodent species (rats and mice)
are ideal animal models for experimental toxicology, including arsenic
toxicity (Rydell-Törmänen & Johnson, 2019; Smith, 2020).
Arsenic toxicity is partly due to its electrophilic nature, so when absorbed,
it readily binds to the electronic sulfhydryl groups of proteins and then
modulates the activity of the protein (Patel et al., 2020). There are various
reports that observed a positive correlation between arsenic exposure levels
with arsenic accumulation in liver and kidney tissue (Garla et al., 2021; Patel
et al., 2020). Arsenic exposure lowers the reduced glutathione (GSH),
increasing kidney and liver function test parameters and histological
abnormalities (Dkhil et al., 2020). The various histopathological changes
are necrosis, the appearance of vacuoles, and degenerative nuclear changes
in experimental animals. So, the pathology of metabolically active organs
like renal and hepatic tissues is a good experimental tool to study arsenic
toxicity. Furthermore, arsenic is also responsible for damaging the male
reproductive function in rats and mice and, after that, causing reduced
spermatogenesis, sperm counts, and motility (Liu et al., 2021; Souza et al.,
2021). It also inhibits testosterone release, the function of the testicular
enzyme, and the atrophy of male genital organs. Several experimental
studies have been performed on arsenic exposure. Its effects on various
parameters, such as physiology, biochemistry, genotoxicity, histopathology,
etc. are presented in Table 2, which could be useful in designing experiments
on arsenic toxicity for more data on regulatory and exploratory toxicology.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 15
8 Current understanding on arsenic-induced medical conditions in
humans
Millions of people worldwide are regularly exposed to arsenic from various
sources, mainly through drinking water. The human health risk comes from
the (i) anthropogenic activities caused by unprecedented population
growth, urbanization and industrialization (Wang et al., 2019; Zhai et al.,
2017) and (ii) geogenic processes often resulting from long-term hydro-
geochemical reactions (Beiyuan et al., 2017; Singh et al., 2018). Sarret et al.
(2019) reported that in Latin America, millions of people are chronically
exposed to the high concentration of arsenic (>50 µg/L drinking water),
with extremes up to 2000 µg/L. Humans are primarily exposed to arsenic via
contaminated drinking water, while inhalation and dermal absorption are
secondary routes of exposure (Shih et al., 2019). The human health risks
were also affected by consuming plant origin food grown over the soil
irrigated with arsenic-contaminated water (Figure 4).
There is recent report on the implications of various environmental
factors in diagnosis of arsenic toxicity related diseases in humans, which
Table 2. Arsenic toxicological works on rat/mice. As indicating Arsenic; As III- Trivalent Arsenic;
AsV- pentavalent Arsenic, As2o3- Arsenic tri-oxide; Na3aso4- Sodium arsenate.
SN As exposure Parameter Organs Reference
1. As2O3 Cytotoxicity Pulpal cells Nassar et al. (2021)
2. As Biochemical and histopathological Liver and kidney Garla et al. (2021)
3. Chronic As Intestinal flora and testicular
autophagy
Intestine and testis Liu et al. (2021)
4. Chronic As Neurotoxicity Brain Abdollahzade et al.
(2021)
5. Sub-chronic As Inflammatory response Liver Dong et al. (2021)
6. Chronic As DNA methylation, genotoxicity Gonad, WBC Nava-Rivera et al. (2021)
7. Chronic As Oxidative stress Liver mitochondria Mozaffarian et al. (2021)
8. Chronic As Carcinogenicity effect Bladder Cohen et al. (2021)
9. Na3AsO4 (21
days)
Reproductive effect Testis Souza et al. (2021)
10. As (28 days) Hepatotoxicity Liver Al Aboud et al. (2021)
11. As (30 days) Histological alteration Liver Alam et al. (2021)
12. As III & As V Accumulation and Liver, kidney,
muscles
Yi et al. (2020)
13. As DNA methylation Pancreatic islets Khan et al. (2020)
14. As Reproductive effect Testis Couto-Santos et al.
(2020)
15. Na3AsO4 (28
Days)
Oxidative stress and apoptosis Liver Dkhil et al. (2020)
16. As Oxidative/Nitrosative damage RBC Panghal et al. (2020)
17. As Cardiac hypertrophy Cardiomyocites Samanta et al. (2020)
18. As III Insulin expression Pancreas islets Huang et al. (2019)
19. As Neurotoxicity Brain Chandravanshi et al.
(2019)
20. As (Chronic) Sex dependant pathogenic effect Kidney Zhang et al. (2019b)
21. As (40 days) Glucose nephrosis Renal tissue Sertorio et al. (2019)
22. As (30 days) Glucose metabolism Hematology Rahman et al. (2018)
23. As (28 Days) Oxidative stress Liver Mahajan et al. (2018)
24. As (56 days) Fertility effects Gonads Lima et al (2018)
16 B. KUMARI AND V. K. BHARTI
are highly relevant to public health in many countries, e.g. keratosis, hyper-
keratosis, melanosis, black foot disease, peripheral vascular disease, leuco-
melanosis, dorsum, nonpetting edema, and gangrene (Altowayti et al.,
2021). Keratosis and melanosis are the most common manifestations in
affected people (Singh et al., 2021). Now a day, arsenic toxicity has become a
global public health problem because of its association with various cancers
and other pathological effects of vital organs through cytotoxicity and
genotoxicity mechanism (Bjørklund et al., 2018; Tchounwou et al., 2019;
Tsuji et al., 2021; Zhou & Xi, 2018). Exposure to arsenic can lead to various
systemic diseases like hepatic, renal, and neuronal systems. Several experi-
mental and clinical studies brought considerable evidence, which indicates
that arsenic adversely affects the antioxidant defense system, apoptosis, and
other physio-biochemical changes, as shown in Figure 2 (Flora, 2011; Giri et
al., 2016) however, its specific mechanism is poorly understood. Recently,
arsenic exposure has been implicated in the incidence of various skin
cancer, gall-bladder, lung, and hepatocellular carcinoma (Abdollahzade et
al., 2021; Fujioka et al., 2020). The estimated lethal dose of inorganic arsenic
for humans is 0.6 mg/kg, which leads to death within 1–4 days of ingestion
(Kuivenhoven & Mason, 2021).
However, long-term exposure to inorganic arsenic can cause various
dysfunctions of vital organ systems such as the digestive system, respira-
tory system, cardiovascular system, hematopoietic system, endocrine sys-
tem, kidney system, nervous system and reproductive system, and
eventually lead to cancer (Ahmad et al., 2021; Palma-Lara et al., 2020).
Inhalation
Occupational
Arsenic
Air
Grains/ Pulses / Oils/
Fruits/ Vegetables etc.
Water Soil
Human
Contact
Food/ Drink
Terrestrial
Animal
products
Plant
products
Aquatic
Milk, Meat, Fish,
Eggs, etc.
Figure 4. Various routes of exposure of arsenic to human.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 17
The various experimental and clinical kinds of research brought numer-
ous pieces of evidence and are presented in Table 3. Despite the magni-
tude of this potentially fatal toxicity, there is no effective treatment for
the disease, so affected patients may not recover even after the restoration
of arsenic-contaminated water. There is peripheral neuropathy that may
disappear with As exposure cessation (Kuivenhoven & Mason, 2021).
However, research data on absorption, distribution, metabolism, and
excretion (ADME) of arsenic species/compounds are lacking. Therefore,
more studies are required on how age, sex, food habits, co-morbidity,
etc., affect human arsenic toxicity.
9 The intervention of biotechnology and nanotechnology in arsenic
control measures
The efficient detection and removal of arsenic are crucial for effective
arsenic control measures in the community. In recent decades, many che-
mical methods and instrumental techniques, using e.g. oxidation,
Table 3. Arsenic toxicity to human. As indicating arsenic; As2o3- arsenic tri-oxide; NRF2- Nuclear
related Factor-2; DNA- Deoxyribonucleic acid; DNMTs-DNA methyltransferases; miRNA- Micro
Ribonucleic acid; mRNA- Messenger RNA; KRAS- Kirsten rat sarcoma virus; ROS- Reactive oxygen
species; NF-kB-nuclear kappa- light- chain- enhancer of activated B cells; PBMC- Peripheral
mononuclear blood cells; ROR- Regulator of reprogramming.
S.N. Affected organs Analytical methods Reference
1 Bladder/Kidney cancer DNA damage Tsai et al. (2021)
2 Cancer risk assessment Soil water analysis Orosun (2021)
3 Dermal/Oral hazards As concentration in ground water Patel et al. (2021)
4 Carcinogenesis NRF2- mediated transcription and
epigenetic regulator
Bi et al. (2021)
5 Skin Modification of DNMTs gene Chanda et al. (2021)
6 Breast cancer cell Cell proliferation and gene expression Kim et al. (2021)
7 Skin cancer mi RNA and mRNA expression profile Banerjee et al. (2021)
8 Gall bladder cancer Immunological marker Singh et al. (2021)
9 Lung cancer cell In vivo & In Vitro Cell cycle genes Sun et al. (2021)
10 Prostate cancer KRAS-retroviral fusion transcripts and gene
amplification
Merrick et al. (2020)
11 Bladder cancer As level in drinking water & mortality rate López-Carrillo et al.
(2020)
12 Bladder cancer Clinico-pathological characteristics Fernández et al.
(2020)
13 Lung cancer As induced transformation Chang et al. (2020)
14 Prostate cancer ROS in the cytotoxicity of As2O3. Doroshow and Gaur
(2020)
15 Breast cancer Attenuation of NF-kB signaling pathway Nasrollahzadeh et al.
(2020)
16 Skin cancer immunological dysfunction and
Histopathological analysis
Zeng and Zhang
(2020)
17 Carcinogenesis PBMC gene expression profile Chen et al. (2020)
18 Growth factor, cancer related
disease pathways
Transcriptome responses in blood Rehman et al. (2020)
19 Liver cancer cell Resistance of As2O3 by Long non coding
RNA ROR
Li et al. (2020)
20 Breast cancer Immuno-histo-chemical López et al. (2020)
18 B. KUMARI AND V. K. BHARTI
coagulation, adsorption, electrocoagulation, etc., have been developed for
arsenic detection and removal. However, these conventional and chemical
approaches allow the identification of arsenic in simple matrices; further,
these methods have low sensitivity, detection limit, and high cost-
maintenance (Xu et al., 2020). Therefore, studies on arsenic removal using
biotechnological and nanotechnological tools are gaining pace (Mostafa &
Hoinkis, 2012; Verma et al., 2020).
Biosensors contain a major promise for the rapid detection of arsenic
(Mao et al., 2020), especially the nanomaterials-based aptamer sensors that
have drawn considerable attention due to their simplicity, high sensitivity,
and speedy action. For this reason, in recent years, there has been active
research on developing nanomaterials-based biosensors to detect inorganic
arsenic (Table 4). A study by Rosales et al. (2020) reported that a few-layer of
Mxene nano-sheets are capable of efficiently oxidizing the highly toxic As
(III) to the less harmful As (V) and further excellent absorption capacity for
both species [approximately 44% for (III) and 50% for (V)]. So, these Mxene
nano-sheets layers could be a promising candidate for effective arsenic
removal using adsorption and photo-oxidation effect. Polymer-, polymer
composite-, and polymer nanocomposite-based nanofilter membranes of 1-
10 nm pore size are also promising effective tools of arsenic removal from
water (Siddique et al., 2020). These membranes are suitable for removing
Table 4. Detection of arsenic through nano-particles. Au indicates gold; Nps- Nanoparticles;
AgNps- silver nanoparticles; Cu: Copper; SNPs- Silica nanoparticles; Pbs- Lead; SERS- surface-
enhanced raman spectroscopy.
SN Nano Particle Detection methods Reference
1 Au NPs SERS Li et al. (2021)
2 Au NPs Colorimetric assay Pu et al. (2021)
3 Au NPs Rapid colorimetric Zheng et al. (2021)
4 Au NPs Voltammetric detection Sullivan et al. (2021)
5 Au NPs Electrochemical detection Sedki et al. (2021)
6 Au NPs Ultra-sensitive Electrochemical detection Jijana et al. (2021)
7 Au NPs Selective and sensitive colorimetric Harisha et al. (2021)
8 Au NPs Absorption based detection Karakuzu et al. (2021)
9 Au NPS Voltammetric analysis Salunke et al. (2021)
10 Cu2O-Ag NPs Chemometric SERS sensor Barimah et al. (2021)
11 Prussian Blue NPs Fluorescence Sensing Pandey et al. (2021)
12 Au-Cu Nps Electrochemical sensing Fuletra et al. (2021)
13 Mn3O4 NPS Colorimetric chemosensor Wang et al. (2021a)
14 AuNPs Voltammetric analysis Bu et al. (2020)
15 Au NPs Colorimetric Shrivas et al. (2020)
16 Zirconia NPs Absorption based detection Tokuyama et al. (2020)
17 Au-Cu NPs Electrochemical aptanser Mushiana et al. (2019)
18 Ag NPs Colorimetric detection Boruah et al. (2019)
19 Au NPs Electrochemical Gu et al. (2018)
20 Au NPs Colorimetric detection Yang et al. (2018)
21 Ag NPs Electrochemical detection Sonkoue et al. (2018)
22 S NPs Sensor based Taghdisi et al. (2018)
23 Ag Nps Multimodal assay Wen et al. (2018)
24 Pbs Nps Absorption based Priyanka et al. (2017)
25 AuNPs Electrochemical detection Idris et al. (2017)
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 19
multivalent ions from monovalent ions and can be adjusted at different
permeability of water and arsenic rejection, hence superior for water filtra-
tion. Nowadays, there are several nanofilter membranes are commercially
available (Siddique et al., 2020; Uddin et al., 2007). Nanometals, nanometal
oxides, magnetic nanoparticles, etc., are other composite materials that can
be integrated in existing water technologies for arsenic removal from water.
Among them, nano iron hydroxides are excellent abrasion-resistant adsor-
bents with a large specific surface area, enabling high arsenic adsorption
from contaminated water (Aredes et al., 2012). ArsenXnp (SolmeteX Inc.,
Philadelphia, PA, USA) is a commercially available hybrid of iron oxide
nanoparticles and polymers for arsenic removal. However, standards and
guidelines on nanomaterials-based water filtration technologies are required
for an easy decision for their application.
The role of microorganisms in the degradation and detoxification of
arsenic-contaminated lands and water areas has become important in recent
years under the process of bioremediation (Patel et al., 2021). Some of the
research findings have described the mechanisms of arsenic detoxification
in microalgae, including cell surface absorption, intracellular As (III) oxida-
tion, As (V) reduction and thiol (−SH) complexation, and vacuole seques-
tration (Huang et al., 2021). Hence, biological treatment of arsenic-
contaminated water with aquatic algae should be carried out, considering
the effects on the entire ecosystem. These algae enhance arsenic bioaccu-
mulation in aquatic animals, so algal removal is good for controlling arsenic
accumulation in aquatic animal origin food (Hussain et al., 2021).
Therefore, a multidisciplinary approach should be considered for bioreme-
diation considering their cross-taxon integrating behavioural and other
effects of arsenic toxicity, which also need restoration of aquatic and terres-
trial ecosystems. Recent studies on microbial biotechnology revealed that
various bacteria and fungi could be used for arsenic elimination from soil
and water (Upadhyay et al., 2018). Some of the species from pseudomonas,
aeromonas, ancylobacter, rhodoferax genera of soil bacteria utilize arsenate
and have arsenic metabolizing activities. Therefore, these microbial con-
sortia can be used in soil and water treatment for arsenic removal.
10 New therapeutic agents for controlling arsenic toxicity
In recent years, most in-vivo and in-vitro studies have shown that ROS
generation, oxidative stress, DNA damage, mutations, and cytotoxicity are
the important molecular changes in arsenic toxicity (Firdaus et al., 2018;
Perker et al., 2019; Rehman et al., 2020; Wu et al., 2019). This means that
arsenic induces oxidative stresses and cytotoxicity in different cell lines
through ROS generation, which triggers NADPH oxidation and leads to
adverse cellular changes. Glutathione is an important antioxidant that
20 B. KUMARI AND V. K. BHARTI
maintains the antioxidant/pro-oxidizing balance and plays a vital role in
protecting cells from oxidative stress (Rao et al., 2017). Hence, controlling
oxidative stress and up-regulation of body antioxidant defense is an impor-
tant strategy for controlling and treating arsenic toxicity.
Plant extract is rich in antioxidant content due to the presence of various
flavonoids, alkaloids, trace minerals, etc., which could be helpful to antiox-
idant-based therapeutic agents in arsenic toxicity. Mohajeri et al. (2017)
reported curcumin has beneficial effects against arsenic-induced toxicity
without any side effects. Another study on the extract of Ginkgo biloba
(GBE), obtained from leaves contains ginkgo flavone glycosides, terpene
lactones, and other active components, which has shown beneficial effects
through modulating antioxidant functions, anti-inflammatory effects, inhi-
bition of platelet aggregation, and immune regulation (Zeng et al., 2021).
Xia et al. (2020) observed that GBE has consequences for arsenicosis
through the law of balance of pro-inflammatory and anti-inflammatory T
cells, whereas the pathogenesis of arsenicosis induces an imbalance of pro-
inflammatory and anti-inflammatory T cells. Yao et al. (2017) found that
GBE can reduce the accumulation of arsenic in the liver and liver injury
through ameliorating lipid peroxidation in rats. Recently, several reports
(Perker et al., 2019; Rahman et al., 2018; Rehman et al., 2020; Susan et al.,
2019) showed that Natural bioactive compounds exhibit antioxidant prop-
erties and effectively mitigate arsenic-induced toxicity by modulating the
antioxidant defense system. These studies advocate that antioxidant treat-
ment is comparatively safe and cost-efficient preventive therapeutics in
arsenic toxicity and other human diseases and disorders. Numerous studies
on different therapeutic materials to control arsenic toxicity are reviewed in
detail and summarized in Table 5.
Although chelating therapy is also considered an effective and well-
known treatment of arsenic toxicity, however, it has shown several
unwanted effects due to the limited safety of chelating agents (Nurchi et
al., 2020). Further, it is suggested that arsenic is incorporated by cells in
mammals and other organisms, after which it can be bio-transformed, and
its metabolites also exert toxic effects (Hirano, 2020). Thus, the inhibition of
bio-transformation of arsenic should be considered a prime pathway for
arsenic bio-inactivation and reduction of arsenic toxicity in the body. This
would be a vital point for developing many future therapeutic agents.
Recently, nano metal oxides have been increasingly used to solve this
global problem in various biomedical applications. The nanomaterials like
liposomes, polymeric micelles, and phospholipid complexes have emerged
as a few promising therapeutic tools for reducing arsenic toxicity (Edis et al.,
2021). These materials have a large surface area, specificity for their custom
substrates, and different shapes. Several metal oxide nanoparticles (NPs)
such as iron (hydro) oxides, aluminium oxide, titanium dioxide, zinc oxides,
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 21
and copper oxide have been used as nano adsorbents to remove heavy
metals from various sources (Pillai & Dharaskar, 2020). Naqvi et al. (2020)
reported a better protective effect of solid lipid nanoparticles loaded with
monoisoamyl-2,3-dimercaptosuccinic acid (NanoMiADMSA) compared to
its volume of MiADMSA in the treatment of neurological and other bio-
chemical abnormalities induced by arsenic. The results suggested that the
size of NanoMiADMSA ranged between 100 and 120 nm and has better
chelating properties than MiADMSA in bulk. These findings encourage
future investigation on identifying effective nanomedicine in arsenic toxi-
city having higher efficacy and safety.
Table 5. Various therapeutic agents of arsenic toxicity. DNA- Deoxyribosenucleic acid; MiADMSA
Monoisoamyl 2,3 dimercaptosuccinic acid; Chk1– Checkpoint kinase 1; p53 −53 Kilodalpton
protein product-; H3K18- acetylation of histone H3 at the lysine-18 residue; JHDM2A- JmjC-
domain-containing histone demethylase 2A; ERCC1 Excision repair cross complementation
group 1) and ERCC2- Excision repair cross complementation group 2).
SN Treatment agent Methods References
1 N-Acetylcysteine (NAC) Density Functional theory Das et al. (2021)
2 Antibiotic cefoperazone Blood chemistry Roggenbeck et
al. (2021)
3Ginkgo biloba extract DNA damage assay Ding et al
(2021)
4Rosa roxburghii Tratt (RRT) hepatic oxidative damage assay Xu et al. (2021)
5Ginkgo biloba extract Skin damage assay Zheng et al.
(2021)
6 melatonin DNA damage, inflammation and apoptosis
assay
Abdollahzade
et al. (2021)
7 Lycopene Kidney marker damage assay Ramadan et al.
(2021)
8 Epididymal vascular endothelial
growth factor (VEGF)
Gene therapy Dai and Gao
(2021)
9 Selenium Assessment of oxidative damage and
neurotransmitter-related parameters
Ren et al (2021)
10 Ginkgo biloba extract Chk1-p53 pathway assessment Yang et al.
(2021)
11 Spirulina and vitamin E haematological parameters Khatun et al.
(2020)
12 acetylated histone H3K18 Chromatin immunoprecipitation (ChIP-
qPCR) analysis
Zhang et al.
(2020a)
13 Histone demethylase JHDM2A DNA damage repair pathway Zhang et al.
(2020b)
14 Monoisoamyl dimercaptosuccinic acid
(MiADMSA)
Chelation therapy Sau et al. (2020)
15 BAL (dimercaptopropanol), DMPS
(dimercapto-propane sulfonate)
Chelation therapy Nurchi et al.
(2020)
16 Turmeric and Passiflora foetida powder Biochemical, haematological, antioxidant
parameters
Maji et al.
(2020)
17 Nano curcumin & nano MiADMSA Chelation therapy Kushwaha et al.
(2018)
18 Gingko biloba Liver function indices Yao et al. (2017)
19 Hypermethylation of ERCC1 and ERCC2 Methylight and bisulfite sequencing (BSP)
assays
Zhang et al.
(2017a)
20 2,3-dimercaptopropane −1-sulphonate
(DMPS)
Chelation therapy Lu et al. (2017)
22 B. KUMARI AND V. K. BHARTI
11 Future research and policy guidelines for eective control of
arsenic toxicity
With the current understanding of the mechanistic view of arsenic toxicity,
it is concluded that multifaceted research interventions are required for the
development of sustainable technology and the framing of policy guidelines;
among them, the following are some critical priority areas:
(i) Experimental toxicological studies in different species considering
their developmental stages, age, sex, habitats, climates, and fat-
muscle body mass index for developing species signature of arsenic
toxicity.
(ii) Histopathology of active metabolic organs like liver, kidney, skin,
brain, lungs, and gonads for ascertaining tissues and cellular toxi-
cities, metabolomics for developing biomarker index of arsenic
toxicity.
(iii) Identification of biochemical and molecular biomarkers of acute,
sub-acute, and chronic toxicity for developing severity, endemic,
etc., the status of arsenic exposure.
(iv) Immunohistochemistry to understand initiation, promotion, and
progression of arsenic-induced cancer;
(v) Ameliorative measures targeting various sources of arsenic, e.g.
water arsenic removal, food fortification, chelating and neutraliza-
tion techniques, nutraceuticals for animals and human, and specific
community-based health preventive measures in endemic areas.
(vi) Intervention of biotechnology and nanotechnology tools for arsenic
detection and their removal from various sources.
(vii) Epidemiological studies at an in-country and regional level along
with other health programs for developing large-scale preventive
strategies.
(viii) Evaluation of genetic and epigenetic factors affecting arsenic-
induced health hazards to understand their epidemiology in differ-
ent areas and populations.
(ix) Studies on the association of reproductive, embryonic develop-
ment, and metabolic diseases in endemic arsenic areas to under-
stand pathophysiology and differential diagnosis of arsenic-induced
diseases.
(x) Regulatory studies and monitoring of arsenic and other metals in
water, soil, air, and food system at the community level.
These are some important research areas where immediate interventions are
required to develop better control and preventive strategies for arsenic toxicity.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 23
12 Summary
In recent days, the increase of arsenic in the human body poses a serious
global health risk to the human population. Extensive studies indicated
that arsenic exposure has become common in various food chains, and
therefore widespread toxicity is reported in multiple species of livestock,
aquatic animals, and human beings. So, arsenic epidemiology should
focus on the dominance of different direct and indirect sources in the
affected areas, and then only control measures and implementation of
public health policy could be successful. Various research reports
revealed that arsenic is a known human carcinogen and interacts with
various cellular molecules. Additionally, experimental research on
arsenic toxicokinetics, toxicodynamics, and mode of toxic action are
high priority areas to address arsenic toxicity and related disease condi-
tions. Nanotechnology and biotechnology-based detection measures
have proven good and promising in control measures of arsenic toxicity.
Hence, extensive regular epidemiological studies on arsenic-induced
toxicity are extremely important for identifying exposure sources and
choosing suitable detection methods and therapeutic strategies.
Disclosure statement
Both authors have read the journal’s policy and declare that they have no competing
interests that might be perceived to influence the content of this article. Authors also
declare that they have no proprietary, financial, professional, or any other personal
interest of any nature or kind in any product or services and company that could be
construed or considered a potential conflict of interest that might have influenced views
expressed in this manuscript. Further, the opinions expressed in this article are those of
the authors and do not necessarily represent the official views of their affiliated
institutions.
Author contributions
All the authors contributed equally to this work and met authorship criteria based on the
ICMJE guidelines. After literature search and analysis, BK and VKB have conceived the
ideas, designed and wrote the initial draft. Both authors (BK, VKB) have reviewed and
accepted the final version of the paper before submission. No writing assistance was utilized
in the production of this manuscript.
Funding
The author(s) reported there is no funding associated with the work featured in this article.
24 B. KUMARI AND V. K. BHARTI
ORCID
Bibha Kumari http://orcid.org/0000-0002-4898-0138
Vijay K. Bharti http://orcid.org/0000-0001-6072-8704
Data availability statement
This article does not contain any new data collected from experiments conducted by any of the
authors. This review’s research and associated data are based upon the information available in
the peer-reviewed scientific publications and or public domain that can be publicly accessed.
The citations and or web links details are provided in the bibliography list of this publication.
Ethical approval and compliance with ethical standards
This article does not hold any studies with human or animal subjects performed by any of
the authors. Hence, no ethical approval for animal and human experimentation was needed
for this work. No primary data have been reported in this study.
Pre - print availability
The pre-print of an earlier version of this manuscript is available on Research Square as
entitled Environmental toxicology of arsenic: Current understanding of toxicity,
detection, and remedial strategy’. DOI :https://doi.org/10.21203/rs.3.rs-1351038/v1.
References
Abdollahzade, N., Babri, S., & Majidinia, M. (2021). Attenuation of chronic arsenic neuro-
toxicity via melatonin in male offspring of maternal rats exposed to arsenic during
conception: Involvement of oxidative DNA damage and inflammatory signaling cascades.
Life sciences, 266, 118876. https://doi.org/10.1016/j.lfs.2020.118876
Ahmad, H. I., Majeed, M. B. B., Jabbar, A., Arif, R., & Afzal, G. (2021). Reproductive toxicity
of arsenic: What we know and what we need to know? In Otsuki, T. (Ed) Environmental
health (pp. 256). IntechOpen.
Al Aboud, D., Baty, R. S., Alsharif, K. F., Hassan, K. E., Zhery, A. S., Habotta, O. A.,
Elmahallawy, E. K., Amin, H. K., Moneim, A. E. A., & Kassab, R. B. (2021). Protective
efficacy of thymoquinone or ebselen separately against arsenic-induced hepatotoxicity in
rat. Environmental Science and Pollution Research, 28(5), 6195–6206. https://doi.org/10.
1007/s11356-020-10955-1
Alam, T., Rizwan, S., Farooqui, Z., Abidi, S., Parwez, I., & Khan, F. (2021). Oral nigella sativa
oil administration alleviates arsenic-induced redox imbalance, DNA damage, and meta-
bolic and histological alterations in rat liver. Environmental Science and Pollution
Research, 28(30), 1–15. https://doi.org/10.1007/s11356-021-13493-6
Allevato, E., Stazi, S. R., Marabottini, R., & D’Annibale, A. (2019). Mechanisms of arsenic
assimilation by plants and countermeasures to attenuate its accumulation in crops other
than rice. Ecotoxicology and Environmental Safety, 185, 109701. https://doi.org/10.1016/j.
ecoenv.2019.109701
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 25
Altowayti, W. A. H., Othman, N., Shahir, S., Alshalif, A. F., Al-Gheethi, A. A., Al-Towayti, F.
A. H., Haris, S. A., & Haris, S. A. (2021). Removal of arsenic from wastewater by using
different technologies and adsorbents: A review. International Journal of Environmental
Science and Technology, 19(9), 1–24. https://doi.org/10.1007/s13762-021-03660-0
Alvarado-Flores, J., Rubio-Franchini, I., Sánchez-Ávila, A. S., Ramírez-Tlalolín, G. D. J.,
Rico-Martínez, R., & Akdemir, A. (2019). Arsenic toxicity, bioaccumulation and risk
assessment: A case study in Tolimique Dam, Aguascalientes, Mexico. Cogent
Environmental Science, 5(1), 1650630. https://doi.org/10.1080/23311843.2019.1650630
Amadi, C. N., Igweze, Z. N., & Orisakwe, O. E. (2017). Heavy metals in miscarriages and
stillbirths in developing nations. Middle East Fertility Society Journal, 22(2), 91–100.
https://doi.org/10.1016/j.mefs.2017.03.003
Amsath, A., Sugumaran, J., & Vanitha, S. (2017). Effect of arsenic (As2o3) on haemetological
parameters of freshwater air breathing fish, Channa punctatus (bloch). Current Trends in
Biomedical Engineering & Biosciences, 7(1), 3–7. https://doi.org/10.19080/CTBEB.2017.
07.555702
Aredes, S., Klein, B., & Pawlik, M. (2012). The removal of arsenic from water using natural
iron oxide minerals. Journal of Cleaner Production, 29(30), 208–213. https://doi.org/10.
1016/j.jclepro.2012.01.029
Aribam, B., Alam, W., & Thokchom, B. (2021). Water Conservation in the Era of Global
Climate Change. In Thokchom, B., Qiu, P., Iyer, P. K. (Eds) (pp. 167–190). Elsevier.
Baeyens, W., de Brauwere, A., Brion, N., De Gieter, M., & Leermakers, M. (2007). Arsenic
speciation in the river zenne, belgium. The Science of the Total Environment, 384(1–3),
409–419. https://doi.org/10.1016/j.scitotenv.2007.05.044
Bala, A., Junaidu, A. U., Salihu, M.D., Agaie, B. M., Saulawa, M. A., Musawa, A. I., & Ahmad,
K. H. (2018). Determination of heavy metal residues in slaughtered camels at sokoto and
gusau modern abattoirs, Nigeria. Journal of Health Pollution, 8(20), 181204. https://doi.
org/10.5696/2156-9614-8.20.181204
Banerjee, M., Cardoso, A. F., Al-Eryani, L., Pan, J., Kalbfleisch, T. S., Srivastava, S., Rai, S. N.,
& States, J. C. (2021). Dynamic alteration in miRNA and mRNA expression profiles at
different stages of chronic arsenic exposure-induced carcinogenesis in a human cell
culture model of skin cancer. Archives of Toxicology, 95(7), 1–15. https://doi.org/10.
1007/s00204-021-03084-2
Banerjee, S., Mahanty, A., Mohanty, S., Mazumder, D. G., Cash, P., & Mohanty, B. P. (2017).
Identification of potential biomarkers of hepatotoxicity by plasma proteome analysis of
arsenic-exposed carp Labeo rohita. Journal of Hazardous Materials, 336, 71–80. https://
doi.org/10.1016/j.jhazmat.2017.04.054
Barimah, A. O., Guo, Z., Agyekum, A. A., Guo, C., Chen, P., El-Seedi, H. R., Zou, X., &
Chen, Q. (2021). Sensitive label-free Cu2O/Ag fused chemometrics SERS sensor for rapid
detection of total arsenic in tea. Food Control, 130, 108341. https://doi.org/10.1016/j.
foodcont.2021.108341
Beiyuan, J., Li, J. S., Tsang, D. C., Wang, L., Poon, C. S., Li, X. D., & Fendorf, S. (2017). Fate
of arsenic before and after chemical-enhanced washing of an arsenic-containing soil in
Hong Kong. The Science of the Total Environment, 599, 679–688. https://doi.org/10.1016/
j.scitotenv.2017.04.208
Bharti, V. K., Giri, A., & Kumar, K. (2017). Evaluation of physico-chemical parameters and
minerals status of different water sources at high altitude. Peertechz Journal
Environmental Science Toxicology, 2, 10–18. https://doi.org/10.17352/pjest.000007
Bharti, V. K., & Srivastava, R. S. (2009). Protective role of buffalo pineal proteins on arsenic-
induced oxidative stress in blood and kidney of rats. Health, 1(03), 167–172. https://doi.
org/10.4236/health.2009.13027
26 B. KUMARI AND V. K. BHARTI
Bharti, V. K., Srivastava, R., Anand, A. K., & Kusum, K. (2012a). Buffalo (Bubalus bubalis)
epiphyseal proteins give protection from arsenic and fluoride-induced adverse changes in
acetylcholinesterase activity in rats. Journal of Biochemical and Molecular Toxicology, 26
(1), 10–15. https://doi.org/10.1002/jbt.20407
Bharti, V.K., Srivastava, R. S., Sharma, B., & Malik, J. K. (2012b). Buffalo (Bubalus bubalis)
epiphyseal proteins counteract arsenic-induced oxidative stress in brain, heart, and liver
of female rats. Biological trace element research, 146(2), 224–229. https://doi.org/10.1007/
s12011-011-9245-0
Bi, Z., Zhang, Q., Fu, Y., Seno, A., Wadgaonkar, P., Qiu, Y., Almutairy, B., Xu, L., Zhang, W.,
Thakur, C., & Chen, F. (2021). April. Cooperation between NRF2-mediated transcription
and MDIG-dependent epigenetic modifications in arsenic-induced carcinogenesis and
cancer stem cells. In Seminars in cancer biology. Academic Press. https://doi.org/10.1016/
j.semcancer.2021.03.030
Bjørklund, G., Aaseth, J., Chirumbolo, S., Urbina, M. A., & Uddin, R. (2018). Effects of
arsenic toxicity beyond epigenetic modifications. Environmental Geochemistry and
Health, 40(3), 955–965. https://doi.org/10.1007/s10653-017-9967-9
Boruah, B. S., Biswas, R., & Deb, P. (2019). A green colorimetric approach towards detection
of arsenic (III): A pervasive environmental pollutant. Optics & Laser Technology, 111,
825–829. https://doi.org/10.1016/j.optlastec.2018.09.023
Boudou, A., & Ribeyre, F. (2018). Fish as “biological model” for experimental studies in
ecotoxicology. In Boudou, A. (Editor) Aquatic ecotoxicology: Fundamental concepts and
methodologies (pp. 127–162). CRC Press.
Bundschuh, J., Schneider, J., Alam, M. A., Niazi, N. K., Herath, I., Parvez, F., Tomaszewska,
B., Guilherme, L. R. G., Maity, J. P., López, D. L., Cirelli, A. F., Pérez-Carrera, A., Morales-
Simfors, N., Alarcón-Herrera, M. T., Baisch, P., Mohan, D., & Mukherjee, A. (2021).
Seven potential sources of arsenic pollution in Latin America and their environmental
and health impacts. The Science of the Total Environment, 780, 146274. https://doi.org/10.
1016/j.scitotenv.2021.146274
Bu, L., Xie, Q., & Ming, H. (2020). Gold nanoparticles decorated three-dimensional porous
graphitic carbon nitrides for sensitive anodic stripping voltammetric analysis of trace
arsenic (III). Journal of Alloys and Compounds, 823, 153723. https://doi.org/10.1016/j.
jallcom.2020.153723
Byeon, E., Kang, H. M., Yoon, C., & Lee, J. S. (2021). Toxicity mechanisms of arsenic
compounds in aquatic organisms. Aquatic Toxicology, 105901, 105901. https://doi.org/10.
1016/j.aquatox.2021.105901
Cardoso, A. P. F., Udoh, K. T., & States, J. C. (2020). Arsenic-induced changes in miRNA
expression in cancer and other diseases. Toxicology and Applied Pharmacology, 409,
115306. https://doi.org/10.1016/j.taap.2020.115306
Chakraborti, D., Singh, S. K., Rahman, M. M., Dutta, R. N., Mukherjee, S. C., Pati, S., & Kar,
P. B. 2018. 23. Groundwater arsenic contamination in the ganga river basin: A future
health danger. International Journal of Environmental Research and Public Health, 15(2),
180. https://doi.org/10.3390/ijerph15020180
Chanda, S., Roy, J., Mukhopadhyay, A., Chakraborty, T., & Mazumder, D. G. (2021).
Modification of DNMTs gene expressions by GST O1 and GST O2 polymorphism in chronic
arsenic exposed people with and without malignancy from West Bengal. https://doi.org/10.
21203/rs.3.rs-319040/v1
Chandravanshi, L. P., Gupta, R., & Shukla, R. K. (2019). Arsenic-induced neurotoxicity by
dys-functioning cholinergic and dopaminergic system in brain of developing rats.
Biological Trace Element Research, 189(1), 118–133. https://doi.org/10.1007/s12011-018-
1452-5
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 27
Chang, Q., Bi, Z., Fu, Y., Rice, M., Zhang, Q., Wadgaonkar, P., Almutairy, B., Zhang, W., Lu,
Y., Xu, L., & Thukar, C. (2020). Characterization of arsenic-induced cancer stem-like
cells. In Kidder, B. (Editor) Stem cell transcriptional networks (pp. 293–303). Humana.
Charette, T., Rosabal, M., & Amyot, M. (2021). Mapping metal (Hg, As, Se), lipid and
protein levels within fish muscular system in two fish species (striped bass and Northern
pike). Chemosphere, 265, 129036. https://doi.org/10.1016/j.chemosphere.2020.129036
Cheng, A., Tyne, R., Kwok, Y. T., Rees, L., Craig, L., Lapinee, C., Salaün, P. (2016).
Investigating arsenic contents in surface and drinking water by voltammetry and the
method of standard additions. Journal of Chemical Education, 93(11), 1945–1950. https://
doi.org/10.1021/acs.jchemed.6b00025
Chen, Q. Y., Shen, S., Sun, H., Wu, F., Kluz, T., Kibriya, M. G., Chen, Y., Ahsan, H., & Costa,
M. (2020). PBMC gene expression profiles of female Bangladeshi adults chronically
exposed to arsenic-contaminated drinking water. Environmental Pollution, 259, 113672.
https://doi.org/10.1016/j.envpol.2019.113672
Chen, L., Song, D., Zhang, W., Zhang, C., & Zhang, L. (2019). The dynamic changes of
arsenic bioaccumulation and antioxidant responses in the marine medaka Oryzias mela-
stigma during chronic exposure. Aquatic Toxicology, 212, 110–119. https://doi.org/10.
1016/j.aquatox.2019.05.001
Cohen, J. M., Beck, B. D., & Rhomberg, L. R. (2021). Historical perspective on the role of cell
proliferation in carcinogenesis for DNA-reactive and non-DNA-reactive carcinogens:
Arsenic as an example. Toxicology, 456, 152783. https://doi.org/10.1016/j.tox.2021.
152783
Couto-Santos, F., Souza, A. C. F., Bastos, D. S. S., Ervilha, L. O. G., Dias, F. C. R., de Sales
Araújo, L., Guimarães, S. E. F., de Oliveira, L. L., & Machado-Neves, M. (2020).
Prepubertal exposure to arsenic alters male reproductive parameters in pubertal and
adult rats. Toxicology and Applied Pharmacology, 409, 115304. https://doi.org/10.1016/j.
taap.2020.115304
Cui, D., Zhang, P., Li, H., Zhang, Z., Luo, W., & Yang, Z. (2020). Biotransformation of
dietary inorganic arsenic in a freshwater fish carassius auratus and the unique association
between arsenic di-methylation and oxidative damage. Journal of Hazardous Materials,
391, 122153. https://doi.org/10.1016/j.jhazmat.2020.122153
Cui, D., Zhang, P., Li, H., Zhang, Z., Song, Y., & Yang, Z. (2021). The dynamic changes of
arsenic biotransformation and bioaccumulation in muscle of freshwater food fish crucian
carp during chronic diet-borne exposure. Journal of Environmental Sciences, 100, 74–81.
https://doi.org/10.1016/j.jes.2020.07.005
Dahlawi, S., Naeem, A., Iqbal, M., Farooq, M. A., Bibi, S., Rengel, Z., & Rengel, Z. (2018).
Opportunities and challenges in the use of mineral nutrition for minimizing arsenic
toxicity and accumulation in rice: A critical review. Chemosphere, 194, 171–188. https://
doi.org/10.1016/j.chemosphere.2017.11.149
Dai, Y. P., & Gao, X. Q. (2021). Effects of silencing epididymal vascular endothelial growth
factor (VEGF) expression on hyaluronidase (HYD) activity in arsenic poisoning rats
through down regulating VEGF receptor 2 (VEGFR2). Bioengineered, 12(1), 1351–1359.
https://doi.org/10.1080/21655979.2021.1915726
Das, M., Singh, K. K., Khan, E., Sinha, R. K., Singh, R. K., Tandon, P., & Gangopadhyay, D.
(2021). N-Acetylcysteine versus arsenic poisoning: A mechanistic study of complexation
by molecular spectroscopy and density functional theory. Journal of molecular liquids,
340, 117168. https://doi.org/10.1016/j.molliq.2021.117168
de Almeida Lima, G. D., Sertorio, M. N., Souza, A. C. F., Menezes, T. P., Mouro, V. G. S.,
Goncalves, N. M., & Machado-Neves, M. (2018). Fertility in male rats: Disentangling
28 B. KUMARI AND V. K. BHARTI
adverse effects of arsenic compounds. Reproductive Toxicology, 78, 130–140. https://doi.
org/10.1016/j.reprotox.2018.04.015
Denizeau, F. (2018). The use of fish cells in the toxicological evaluation of environmental
contaminants. In Wells, P. G., Lee, K., Blaise, C. (Eds) Microscale testing in aquatic
toxicology (113-128) (pp. 16). CRC Press.
Ding, X., Zhang, A., Li, C., Ma, L., Tang, S., Wang, Q., Li, J., & Li, J. (2021). The role of
H3K9me2-regulated base excision repair genes in the repair of DNA damage induced by
arsenic in HaCat cells and the effects of ginkgo biloba extract intervention. Environmental
toxicology, 36(5), 850–860. https://doi.org/10.1002/tox.23088
Dipp, V. R., Valles, S., Ortiz-Kerbertt, H., Suarez, J. V., & Bardullas, U. (2018).
Neurobehavioral alterations in zebrafish due to long-term exposure to low doses of
inorganic arsenic. Zebrafish, 15(6), 575–585. https://doi.org/10.1089/zeb.2018.1627
Dkhil, M. A., Moneim, A. E. A., Bauomy, A. A., Khalil, M., Al-Shaebi, E. M., & Al-Quraishy,
S. (2020). Chlorogenic acid prevents hepatotoxicity in arsenic-treated mice: Role of
oxidative stress and apoptosis. Molecular Biology Reports, 47(2), 1161–1171. https://doi.
org/10.1007/s11033-019-05217-4
Dong, L., Liu, Y., Wang, D., Zhu, K., Zou, Z., & Zhang, A. (2021). Imbalanced inflammatory
response in subchronic arsenic-induced liver injury and the protective effects of ginkgo
biloba extract in rats: Potential role of cytokines mediated cell–cell interactions.
Environmental toxicology, 36(10), 2073–2092. https://doi.org/10.1002/tox.23324
Doroshow, J. H., & Gaur, S. (2020). Role of reactive oxygen species in the cytotoxicity of
arsenic trioxide and pamidronate for human prostate cancer cells. Reactive Oxygen
Species (ApexNc), 9(26), 81. https://doi.org/10.20455/ros.2020.811
Edis, Z., Wang, J., Waqas, M. K., & Ijaz, M. (2021). Nanocarriers-mediated drug delivery
systems for anticancer agents: An overview and perspectives. International Journal of
Nanomedicine, 16, 1313. https://doi.org/10.2147/IJN.S289443
Erickson, R. J., Mount, D. R., Highland, T. L., Hockett, J. R., Hoff, D. J., Jenson, C. T., &
Lahren, T. J. (2019). The effects of arsenic speciation on accumulation and toxicity of
dietborne arsenic exposures to rainbow trout. Aquatic Toxicology, 210, 227–241. https://
doi.org/10.1016/j.aquatox.2019.03.001
Feng, W., Wang, Z., Xu, H., Chen, L., & Zheng, F. (2020). Trace metal concentrations in
commercial fish, crabs, and bivalves from three lagoons in the South China Sea and
implications for human health. Environmental Science and Pollution Research, 27(14),
16393–16403. https://doi.org/10.1007/s11356-019-06712-8
Fernández, M. I., Valdebenito, P., Delgado, I., Segebre, J., Chaparro, E., Fuentealba, D.,
Castillo, M., Vial, C., Barroso, J. P., Ziegler, A., & Bustamante, A. (2020). February.
Impact of arsenic exposure on clinicopathological characteristics of bladder cancer: A
comparative study between patients from an arsenic-exposed region and nonexposed
reference sites. Urologic Oncology: Seminars and Original Investigations, 38(2), 40–e1.
https://doi.org/10.1016/j.urolonc.2019.09.013
Firdaus, F., Zafeer, M. F., Anis, E., Ahmad, M., & Afzal, M. (2018). Ellagic acid attenuates
arsenic induced neuro-inflammation and mitochondrial dysfunction associated apopto-
sis. Toxicology Reports, 5, 411–417. https://doi.org/10.1016/j.toxrep.2018.02.017
Flora, S. J. (2011). Arsenic-induced oxidative stress and its reversibility. Free Radical Biology
& Medicine, 51(2), 257–281. https://doi.org/10.1016/j.freeradbiomed.2011.04.008
Flora, S. J. S. (2020) Preventive and therapeutic strategies for acute and chronic human
arsenic exposure. In Srivastava, S. (Editor) Arsenic in Drinking Water and Food (pp. 341–
370). Springer.
Fujioka, M., Suzuki, S., Gi, M., Kakehashi, A., Oishi, Y., Okuno, T., Wanibuchi, H., &
Wanibuchi, H. (2020). Dimethylarsinic acid (DMA) enhanced lung carcinogenesis via
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 29
histone H3K9 modification in a transplacental mouse model. Archives of Toxicology, 94
(3), 1–11. https://doi.org/10.1007/s00204-020-02665-x
Fuletra, I., Nisar, S., Bhardwaj, R., Saluja, P., Bhardwaj, S. K., Asokan, K., Basu, T., & Basu, T.
(2021). Self-assembled gold nano islands for precise electrochemical sensing of trace level
of arsenic in water. Groundwater for Sustainable Development, 12, 100528. https://doi.
org/10.1016/j.gsd.2020.100528
Gangopadhyay, S., Sharma, V., Chauhan, A., & Srivastava, V. (2019). Potential facet for
prenatal arsenic exposure paradigm: Linking endocrine disruption and epigenetics. The
Nucleus, 62(2), 127–142. https://doi.org/10.1007/s13237-019-00274-3
Garla, R., Sharma, N., Kaushal, N., Garg, M. L., & Garg, M. L. (2021). Effect of zinc on
hepatic and renal tissues of chronically arsenic exposed rats: A biochemical and histo-
pathological study. Biological trace element research, 1–14. https://doi.org/10.1007/
s12011-020-02549-2
Ghadersarbazi, Z., Ghiasi, F., Ghorbani, F., & Johari, S. A. (2019). Toxicity assessment of
arsenic on common carp (Cyprinus carpio) and development of natural sorbents to
reduce the bioconcentration by RSM methodology. Chemosphere, 224, 247–255. https://
doi.org/10.1016/j.chemosphere.2019.02.146
Giri, A., Bharti, V. K., Angmo, K., Kalia, S., & Kumar, B. (2016). Fluoride induced oxidative
stress, immune system and apoptosis in animals: A review. International Journal of
Bioassays, 5(12), 5163–5173. https://doi.org/10.21746/ijbio.2016.12.0011
Giri, A., Bharti, V. K., Kalia, S., Arora, A., Balaje, S. S., & Chaurasia, O. P. (2020). A review
on water quality and dairy cattle health: A special emphasis on high-altitude region.
Applied Water Science, 10(3), 79. https://doi.org/10.1007/s13201-020-1160-0
Giri, A., Bharti, V. K., Kalia, S., Kumar, K., Raj, T., & Chaurasia, O. P. (2019). Utility of
multivariate statistical analysis to identify factors contributing river water quality in two
different seasons in cold-arid high-altitude region of Leh-Ladakh, India. Applied Water
Science, 9(2), 1–15. https://doi.org/10.1007/s13201-019-0902-3
Giri, A., Bharti, V. K., Kalia, S., Kumar, K., Raj, T., & Kumar, B. (2017). Utility of multi-
variate statistical analysis to identify factors contributing ground water quality in high
altitude region of Leh-Ladakh, India. Asian Journal of Water Environmental Pollution, 14
(4), 61–75. https://doi.org/10.3233/AJW-170037
Greani, S., Lourkisti, R., Berti, L., Marchand, B., Giannettini, J., Santini, J., & Quilichini, Y.
(2017). Effect of chronic arsenic exposure under environmental conditions on bioaccu-
mulation, oxidative stress, and antioxidant enzymatic defenses in wild trout Salmo trutta
(Pisces, Teleostei). Ecotoxicology, 26(7), 930–941. https://doi.org/10.1007/s10646-017-
1822-3
Gu, H., Yang, Y., Chen, F., Liu, T., Jin, J., Pan, Y., & Miao, P. (2018). Electrochemical
detection of arsenic contamination based on hybridization chain reaction and RecJf
exonuclease-mediated amplification. Chemical Engineering Journal, 353, 305–310.
https://doi.org/10.1016/j.cej.2018.07.137
Hahn, M. E., & Sadler, K. C. (2020). Casting a wide net: Use of diverse model organisms to
advance toxicology. Disease Models & Mechanisms, 13(4), dmm043844. https://doi.org/
10.1242/dmm.043844
Han, J. M., Park, H. J., Kim, J. H., Jeong, D. S., & Kang, J. C. (2019). Toxic effects of arsenic
on growth, hematological parameters, and plasma components of starry flounder,
Platichthys stellatus, at two water temperature conditions. Fisheries and Aquatic
Sciences, 22(1), 1–8. https://doi.org/10.1186/s41240-019-0116-5
Harisha, K. S., Narayana, B., & Sangappa, Y. (2021). Highly selective and sensitive colori-
metric detection of arsenic (III) in aqueous solution using green synthesized unmodified
30 B. KUMARI AND V. K. BHARTI
gold nanoparticles. Journal of Dispersion Science and Technology, 1–12. https://doi.org/10.
1080/01932691.2021.1931286
Hayakawa, T., Kobayashi, Y., Cui, X., & Hirano, S. (2005). A new metabolic pathway of
arsenite: Arsenic–glutathione complexes are substrates for human arsenic methyltrans-
ferase Cyt19. Archives of Toxicology, 79(4), 183–191. https://doi.org/10.1007/s00204-004-
0620-x
Hirano, S. (2020). Biotransformation of arsenic and toxicological implication of arsenic
metabolites. Archives of Toxicology, 94(8), 2587–2601. https://doi.org/10.1007/s00204-
020-02772-9
Hirata, H., & Iida, A. (Eds.). (2018). Zebrafish, medaka, and other small fishes: New model
animals in biology, medicine, and beyond. Springer.
Huang, Z., Chen, B., Zhang, J., Yang, C., Wang, J., Song, F., & Li, S. (2021). Absorption and
speciation of arsenic by microalgae under arsenic-copper co-exposure. Ecotoxicology and
Environmental Safety, 213, 112024. https://doi.org/10.1016/j.ecoenv.2021.112024
Huang, M., Douillet, C., & Stýblo, M. (2019). Arsenite and its trivalent methylated meta-
bolites inhibit glucose-stimulated calcium influx and insulin secretion in marine pan-
creatic islets. Archives of Toxicology, 93(9), 2525–2533. https://doi.org/10.1007/s00204-
019-02526-2
Hua, D., Wang, J., Yu, D., & Liu, J. (2017). Lanthanum exerts acute toxicity and histopatho-
logical changes in gill and liver tissue of rare minnow (Gobiocypris rarus). Ecotoxicology,
26(9), 1207–1215. https://doi.org/10.1007/s10646-017-1846-8
Huggett, R. J. (2018). Biomarkers: Biochemical, physiological, and histological markers of
anthropogenic stress. CRC Press.
Hussain, M. M., Wang, J., Bibi, I., Shahid, M., Niazi, N. K., Iqbal, J., Mian, I. A., Shaheen, S.
M., Bashir, S., Shah, N. S., Hina, K., & Rinklebe, J. (2021). Arsenic speciation and
biotransformation pathways in the aquatic ecosystem: The significance of algae. Journal
of Hazardous Materials, 403, 124027. https://doi.org/10.1016/j.jhazmat.2020.124027
Idris, A. O., Mabuba, N., & Arotiba, O. A. (2017). Electrochemical co-detection of arsenic
and selenium on a glassy carbon electrode modified with gold nanoparticles.
International Journal of Electrochemical Science, 12, 10–21. https://doi.org/10.20964/
2017.01.30
Jijana, A. N., Mphuthi, N., Shumbula, P., Vilakazi, S., & Sikhwivhilu, L. (2021). The ultra-
sensitive electrochemical detection of as (III) in ground water using disposable L-
cysteine/lipoic acid functionalised gold nanoparticle modified screen-printed electrodes.
Electrocatalysis, 12(3), 310–325. https://doi.org/10.1007/s12678-021-00658-7
Juncos, R., Arcagni, M., Squadrone, S., Rizzo, A., Arribére, M., Barriga, J. P., Battini, M. A.,
Campbell, L. M., Brizio, P., Abete, M. C., & Guevara, S. R. (2019). Interspecific differences
in the bioaccumulation of arsenic of three Patagonian top predator fish: Organ distribu-
tion and arsenic speciation. Ecotoxicology and Environmental Safety, 168, 431–442.
https://doi.org/10.1016/j.ecoenv.2018.10.077
Karakuzu, B., Gulmez, Y., & Tekin, H. C. (2021). Absorbance-based detection of arsenic in a
microfluidic system with push-and-pull pumping. Microelectronic engineering, 247,
111583. https://doi.org/10.1016/j.mee.2021.111583
Kaur, S., Singh, D., & Singh, K. (2017). Effect of selenium application on arsenic uptake in
rice (Oryza sativa L). Environmental Monitoring and Assessment, 189(9), 1–8. https://doi.
org/10.1007/s10661-017-6138-5
Khan, F., Hodjat, M., Rahimifard, M., Nigjeh, M. N., Azizi, M., Baeeri, M., Bayrami, Z.,
Gholami, M., Hassani, S., & Abdollahi, M. (2020). Assessment of arsenic-induced mod-
ifications in the DNA methylation of insulin-related genes in rat pancreatic islets.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 31
Ecotoxicology and Environmental Safety, 201, 110802. https://doi.org/10.1016/j.ecoenv.
2020.110802
Khatun, M. F., Hasan, M. M., Islam, R., Sarkar, S., & Haque, M. A. (2020). Effect of spirulina
(Spirulina platensis) and vitamin E on arsenic induced toxicity in quail. Asian Journal of
Medical and Biological Research, 6(1), 93–98. https://doi.org/10.3329/ajmbr.v6i1.46483
Kim, D., Park, N. Y., Kang, K., Calderwood, S. K., Cho, D. H., Bae, I. J., & Bunch, H. (2021).
Arsenic hexoxide has differential effects on cell proliferation and genome-wide gene
expression in human primary mammary epithelial and MCF7 cells. Scientific Reports,
11(1), 1–16. https://doi.org/10.1038/s41598-021-82551-3
Kole, D., Mondal, S., & Ghosh, A. R. (2018). Effects of Arsenic (III) and Chromium (VI)
toxicity on digestive enzymes’ activities of anabas testudineus (bloch). In Proceedings of
the Zoological Society, 71(2), 178–185. https://doi.org/10.1007/s12595-017-0215-1
Kopp, R., Palíková, M., Papežíková, I., Mareš, J., Navrátil, S., Pikula, J., & Pohanka, M.
(2018). Oxidative stress response of rainbow trout (Oncorhynchus mykiss) to multiple
stressors. Acta Veterinaria Brno, 87(1), 55–64. https://doi.org/10.2754/avb201887010055
Kuivenhoven, M., & Mason, K. (2021, January). Arsenic toxicity. In StatPearls. StatPearls
Publishing. Internet. https://www.ncbi.nlm.nih.gov/books/NBK541125/
Kumar, M., Goswami, R., Patel, A. K., Srivastava, M., & Das, N. (2020). Scenario, perspec-
tives and mechanism of arsenic and fluoride co-occurrence in the groundwater: A review.
Chemosphere, 249, 126126. https://doi.org/10.1016/j.chemosphere.2020.126126
Kumari, B., & Ahsan, J. (2011a). Study of muscle glycogen content in both sexes of an Indian
teleost Clarias batrachus (Linn.) exposed to different concentrations of arsenic. Fish
Physiology and Biochemistry, 37(1), 161–167. https://doi.org/10.1007/s10695-010-9427-2
Kumari, B., & Ahsan, J. (2011b). Acute exposure of arsenic tri-oxide produces hyperglyce-
mia in both sexes of an Indian teleost, clarias batrachus (Linn.). Archives of
Environmental Contamination and Toxicology, 61(3), 435–442. https://doi.org/10.1007/
s00244-011-9649-z
Kumari, B., Ahsan, J., & Kumar, V. (2012). Comparative studies of liver and brain glycogen
content of male and female Clarias batrachus (L.) after exposure of different doses of
arsenic. Toxicological & Environmental Chemistry, 94(9), 1758–1767. https://doi.org/10.
1080/02772248.2012.726823
Kumari, B., & Ghosh, A.K. (2012a). Low doses of arsenic help to survive in healthier
condition to heteropneustes fossilis. Proceeding in SEB animal section symposium
‘‘Woodstock 2012, 23 to 27 June 2012; Tuscany, Italy.
Kumari, B., & Ghosh, A. K. (2012b). Arsenic induced cytotoxic assessment in haemocytes of
catfish heteropneustis fossilis. Proceeding in SEB animal section symposium ‘‘Woodstock
2012, 23 to 27 June 2012; Tuscany, Italy.
Kumari, B., Ghosh, A. K., & Kumari, A. (2013). Arsenic induced hyper and hypo-pigmenta-
tion of skin in freshwater fish heteropneustes fossilis. Conference proceeding: Asian pacific
aquaculture 2013, Ho Chi Minh City, Vietnam. https://www.was.org/meetingabstracts/
ShowAbstract.aspx?Id=30795
Kumari, B., Kumar, V., & Ahsan, J. (2015) Effect of arsenic on glucose and glycogen content
in a walking catfish (Clarias batrachus). Conference proceeding: World aquaculture 2015,
Jeju, Korea. https://www.was.org/meetingabstracts/ShowAbstract.aspx?Id=35383
Kumari, B., Kumar, V., Sinha, A. K., Ahsan, J., Ghosh, A. K., Wang, H., & DeBoeck, G.
(2017). Toxicology of arsenic in fish and aquatic systems. Environmental Chemistry
Letters, 15(1), 43–64. https://doi.org/10.1007/s10311-016-0588-9
Kumari, B., & Yashmin, S. (2018). Histopathological changes in the skin of Heteropneustes
fossilis caused by arsenic. AQUA 2018, 25th-28th August, 2018; Montpellier, France.
32 B. KUMARI AND V. K. BHARTI
Kumar, S., Prasad, S., Yadav, K. K., Shrivastava, M., Gupta, N., Nagar, S., Bach, Q. V.,
Kamyab, H., Khan, S. A., Yadav, S., & Malav, L. C. (2019). Hazardous heavy metals
contamination of vegetables and food chain: Role of sustainable remediation approaches-
A review. Environmental Research, 179, 108792. https://doi.org/10.1016/j.envres.2019.
108792
Kushwaha, P., Yadav, A., Samim, M., & Flora, S. J. S. (2018). Combinatorial drug delivery
strategy employing nano-curcumin and nano-MiADMSA for the treatment of arsenic
intoxication in mouse. Chemico-Biological Interactions, 286, 78–87. https://doi.org/10.
1016/j.cbi.2018.03.006
Li, B., Gu, B., Yang, Z., & Zhang, T. (2018). The role of submerged macrophytes in
phytoremediation of arsenic from contaminated water: A case study on Vallisneria natans
(Lour.) hara. Ecotoxicology and Environmental Safety, 165, 224–231. https://doi.org/10.
1016/j.ecoenv.2018.09.023
Lin, C., Ping, M., Zhang, X., Wang, X., Chen, L., Wu, Y. F. F., & Fu, F. (2021). In vitro bio-
accessibility and distribution characteristic of each arsenic species in different fishes and
shellfishes/shrimps collected from Fujian of China. Journal of Hazardous Materials, 420,
126660. https://doi.org/10.1016/j.jhazmat.2021.126660
Li, X., Sun, D., Zhao, T., & Zhang, Z. (2020). Long non-coding RNA ROR confers arsenic
trioxide resistance to HepG2 cells by inhibiting p53 expression. European Journal of
Pharmacology, 872, 172982. https://doi.org/10.1016/j.ejphar.2020.172982
Liu, P., Li, R., Tian, X., Zhao, Y., Li, M., Wang, M., Ying, X., Yuan, J., Xie, J., Yan, X., Lyu, Y.,
Wei, C., Qiu, Y., Tian, F., Zhao, Q., & Yan, X. (2021). Co-exposure to fluoride and arsenic
disrupts intestinal flora balance and induces testicular autophagy in offspring rats.
Ecotoxicology and Environmental Safety, 222, 112506. https://doi.org/10.1016/j.ecoenv.
2021.112506
Liu, X., Wang, Q., He, J., Zhao, M., Qiu, L., Fan, L., and Chen, J. (2020). Occurrence,
speciation analysis and health risk assessment of arsenic in Chinese mitten crabs
(Eriocheir sinensis) collected from China. Journal of Food Composition and Analysis,
94, 103647. 10.1016/j.jfca.2020.103647
Liu, Q., Xu, X., Zeng, J., Shi, X., Liao, Y., Du, P., Tang, Y., Huang, W., Chen, Q., & Shou, L.
(2019). Heavy metal concentrations in commercial marine organisms from xiangshan
Bay, China, and the potential health risks. Marine pollution bulletin, 141, 215–226. https://
doi.org/10.1016/j.marpolbul.2019.02.058
Li, H., Wang, Q., Gao, N., Fu, J., Yue, X., Lv, X., Zhong, F., Tang, J., & Wang, T. (2021).
Facile synthesis of magnetic ionic liquids/gold nanoparticles/porous silicon composite
SERS substrate for ultra-sensitive detection of arsenic. Applied Surface Science, 545,
148992. https://doi.org/10.1016/j.apsusc.2021.148992
López-Carrillo, L., Gamboa-Loira, B., Gandolfi, A. J., & Cebrián, M. E. (2020). Inorganic
arsenic methylation capacity and breast cancer by immunohistochemical subtypes in
northern Mexican women. Environmental Research, 184, 109361. https://doi.org/10.1016/
j.envres.2020.109361
López, J. F., Fernández, M. I., & Coz, L. F. (2020). Arsenic exposure is associated with
significant upper tract urothelial carcinoma health care needs and elevated mortality
rates. Urologic Oncology: Seminars and Original Investigations, 38(7), 638-e7. https://doi.
org/10.1016/j.urolonc.2020.01.014
Lu, P. H., Tseng, J. C., Chen, C. K., & Chen, C. H. (2017). Survival without peripheral
neuropathy after massive acute arsenic poisoning: Treated by 2, 3-dimercaptopropane-1-
sulphonate. Journal of Clinical Pharmacy and Therapeutics, 42(4), 506–508. https://doi.
org/10.1111/jcpt.12538
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 33
Mahajan, L., Verma, P. K., Raina, R., & Sood, S. (2018). Toxic effects of imidacloprid
combined with arsenic: Oxidative stress in rat liver. Toxicology and Industrial Health,
34(10), 726–735. https://doi.org/10.1177/0748233718778993
Maji, C., Biswas, S., Sarkar, P. K., Patra, P. H., Bandyopadhyay, S., Sarkar, S., Chattopadhyay,
A., & Mandal, T. K. (2020). Evaluation of ameliorative effect of two selected plant drugs
on experimentally induced arsenic toxicity in sheep. Environmental Science and Pollution
Research, 27(29), 36744–36753. https://doi.org/10.1007/s11356-020-09569-4
Mao, K., Zhang, H., Wang, Z., Cao, H., Zhang, K., Li, X., & Yang, Z. (2020). Nanomaterial-
based aptamer sensors for arsenic detection. Biosensors & Bioelectronics, 148, 111785.
https://doi.org/10.1016/j.bios.2019.111785
Marcotte, S., Estel, L., Minchin, S., Leboucher, S., & Le Meur, S. (2017). Monitoring of lead,
arsenic and mercury in the indoor air and settled dust in the natural history museum of
Rouen (France). Atmospheric Pollution Research, 8(3), 483–489. https://doi.org/10.1016/j.
apr.2016.12.002
Marques, A. F., Alves, L. M., Moutinho, A., Lemos, M. F., & Novais, S. C. (2021).
Scyliorhinus canicula (Linnaeus, 1758) metal accumulation: A public health concern for
Atlantic fish consumers?. Marine Pollution Bulletin, 169, 112477. https://doi.org/10.1016/
j.marpolbul.2021.112477
Mekkawy, I. A., Mahmoud, U. M., Moneeb, R. H., & Sayed, A. E. D. H. (2020). Significance
assessment of amphora coffeaeformis in arsenic-induced hemato-biochemical alterations
of African catfish (Clarias gariepinus). Frontiers in Marine Science, 7, 191. https://doi.org/
10.3389/fmars.2020.00191
Merrick, B. A., Phadke, D. P., Bostrom, M. A., Shah, R.R., Wright, G. M., Wang, X., Gordon,
O., Pelch, K. E., Auerbach, S. S., Paules, R. S., DeVito, M. J., Waalkes, M. P., & Tokar, E. J.
(2020). KRAS-retroviral fusion transcripts and gene amplification in arsenic-trans-
formed, human prostate CAsE-PE cancer cells. Toxicology and Applied Pharmacology,
397, 115017. https://doi.org/10.1016/j.taap.2020.115017
Milan, F. S., Maleki, B. R. S., Moosavy, M. H., Mousavi, S., Sheikhzadeh, N., & Khatibi, S. A.
(2021). Ameliorating effects of dietary Haematococcus pluvialis on arsenic-induced oxi-
dative stress in rainbow trout (Oncorhynchus mykiss) fillet. Ecotoxicology and
Environmental Safety, 207, 111559. https://doi.org/10.1016/j.ecoenv.2020.111559
Mohajeri, M., Rezaee, M., & Sahebkar, A. (2017). Cadmium-induced toxicity is rescued by
curcumin: A review. Biofactors, 43(5), 645–661. https://doi.org/10.1002/biof.1376
Mondal, P. (2017). An insight of environmental contamination of arsenic on animal health.
Emerging Contaminants, 3(1), 17–22. https://doi.org/10.1016/j.emcon.2017.01.004
Mondal, P., & Chattopadhyay, A. (2020). Environmental exposure of arsenic and fluoride
and their combined toxicity: A recent update. Journal of Applied Toxicology, 40(5), 552–
566. https://doi.org/10.1002/jat.3931
Mondal, P., Shaw, P., Bhowmik, A. D., Bandyopadhyay, A., Sudarshan, M., Chakraborty, A.,
& Chattopadhyay, A. (2021). Combined effect of arsenic and fluoride at environmentally
relevant concentrations in zebrafish (Danio rerio) brain: Alterations in stress marker and
apoptotic gene expression. Chemosphere, 269, 128678. https://doi.org/10.1016/j.chemo
sphere.2020.128678
Moneeb, R. H., Mekkawy, I. A., Mahmoud, U. M., & AEDH, S. (2020). Histopathological
and ultrastructure studies on hepatotoxicity of arsenic in Clarias gariepinus (Burchell,
1822): Hepatoprotective eect of amphora coeaeformis. Scientific African, 8, e00448.
https://doi.org/10.1016/j.sciaf.2020.e00448
Mostafa, M. G., & Hoinkis, J. (2012). Nanoparticle adsorbents for arsenic removal from
drinking water: a review. International Journal of Environmental Science, Management
and Engineering Research, 1(1), 20–31.
34 B. KUMARI AND V. K. BHARTI
Mozaffarian, F., Dehghani, M. A., Vanani, A. R., & Mahdavinia, M. (2021). Protective effects
of alpha lipoic acid against arsenic induced oxidative stress in isolated rat liver mitochon-
dria. Biological trace element research, 200(3), 1–11. https://doi.org/10.1007/s12011-021-
02712-3
Mushiana, T., Mabuba, N., Idris, A.O., Peleyeju, G. M., Orimolade, B. O., Nkosi, D., Ajayi, R.
F., & Arotiba, O. A. (2019). An aptasensor for arsenic on a carbongold bi-nanoparticle
platform. Sensing and Bio-Sensing Research, 24, 100280. https://doi.org/10.1016/j.sbsr.
2019.100280
Nadiri, A. A., Aghdam, F. S., Khatibi, R., & Moghaddam, A. A. (2018). The problem of
identifying arsenic anomalies in the basin of sahand dam through risk-based ‘soft
modelling’. The Science of the Total Environment, 613, 693–706. https://doi.org/10.
1016/j.scitotenv.2017.08.027
Nadiri, A. A., Sedghi, Z., & Khatibi, R. (2021). Qualitative risk aggregation problems for the
safety of multiple aquifers exposed to nitrate, fluoride and arsenic contaminants by a ‘total
information management’framework. Journal of Hydrology, 595, 126011. https://doi.org/
10.1016/j.jhydrol.2021.126011
Naqvi, S., Kumar, P., & Flora, S. J. S. (2020). Comparative efficacy of nano and bulk
monoisoamyl DMSA against arsenic-induced neurotoxicity in rats. Biomedicine &
Pharmacotherapy, 132, 110871. https://doi.org/10.1016/j.biopha.2020.110871
Nasrollahzadeh, A., Bashash, D., Kabuli, M., Zandi, Z., Kashani, B., Zaghal, A., Mousavi, S.
A., & Ghaffari, S. H. (2020). Arsenic trioxide and BIBR1532 synergistically inhibit breast
cancer cell proliferation through attenuation of NF-κB signaling pathway. Life sciences,
257, 118060. https://doi.org/10.1016/j.lfs.2020.118060
Nassar, M., Dargham, A., Jamleh, A., Tamura, Y., Hiraishi, N., & Tagami, J. (2021). The
hormetic effect of arsenic trioxide on rat pulpal cells: An in vitro preliminary study.
European Journal of Dentistry, 15(02), 222–227. https://doi.org/10.1055/s-0040-1718637
Nava-Rivera, L. E., Betancourt-Martínez, N. D., Lozoya-Martínez, R., Carranza-Rosales, P.,
Guzmán-Delgado, N. E., Carranza-Torres, I. E., Delgado-Aguirre, H., Zambrano-Ortíz, J.
O., & Morán-Martínez, J. (2021). Transgenerational effects in DNA methylation, geno-
toxicity and reproductive phenotype by chronic arsenic exposure. Scientific reports, 11(1),
1–16. https://doi.org/10.1038/s41598-021-87677-y
Navazas, A., Hendrix, S., Cuypers, A., & González, A. (2019). Integrative response of arsenic
uptake, speciation and detoxification by Salix atrocinerea. The Science of the Total
Environment, 689, 422–433. https://doi.org/10.1016/j.scitotenv.2019.06.279
Njoga, E.O., Ezenduka, E. V., Ogbodo, C. G., Ogbonna, C. U., Jaja, I. F., Ofomatah, A. C., &
Okpala, C. O. R. (2021). Detection, distribution and health risk assessment of toxic heavy
metals/metalloids, arsenic, cadmium, and lead in goat carcasses processed for human
consumption in South-Eastern Nigeria. Foods, 10(4), 798. https://doi.org/10.3390/
foods10040798
Norberg-king, T. J., Embry, M. R., Belanger, S. E., Braunbeck, T., Butler, J. D., Dorn, P. B.,
Farr, B., Guiney, P. D., Hughes, S. A., Jeffries, M., Journel, R., Lèonard, M., McMaster, M.,
Oris, J. T., Ryder, K., Segner, H., Senac, T., Van Der Kraak, G., Whale, G., & Wilson, P.
(2018). An international perspective on the tools and concepts for effluent toxicity
assessments in the context of animal alternatives: Reduction in vertebrate use.
Environmental Toxicology and Chemistry, 37(11), 2745–2757. https://doi.org/10.1002/
etc.4259
Nurchi, V. M., Buha Djordjevic, A., Crisponi, G., Alexander, J., Bjørklund, G., & Aaseth, J.
(2020). Arsenic toxicity: Molecular targets and therapeutic agents. Biomolecules, 10(2),
235. https://doi.org/10.3390/biom10020235
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 35
Orosun, M. M. (2021). Assessment of arsenic and its associated health risks due to mining
activities in parts of North-central Nigeria: Probabilistic approach using Monte Carlo.
Journal of Hazardous Materials, 412, 125262. https://doi.org/10.1016/j.jhazmat.2021.
125262
Oza, H., Singh, T. A., & Jampa, S. S. (2021). Removal of arsenic from aqueous solution using
combined ultrasonic and electrocoagulation process. Proceedings.
Palma Lara, I., Martínez-Castillo, M., Quintana-Pérez, J. C., Arellano-Mendoza, M. G.,
Tamay-Cach, F., Valenzuela-Limón, O. L., Hernández-Zavala, A., & Hernández-Zavala,
A. (2020). Arsenic exposure: A public health problem leading to several cancers.
Regulatory Toxicology and Pharmacology, 110, 104539. https://doi.org/10.1016/j.yrtph.
2019.104539
Pandey, P., Shukla, S., & Narayan, R. J. (2021). Organo-tri-alkoxysilane-functionalized
Prussian blue nanoparticles-mediated fluorescence sensing of arsenic (III).
Nanomaterials, 11(5), 1145. https://doi.org/10.3390/nano11051145
Panghal, A., Sathua, K. B., & Flora, S. J. S. (2020). Gallic acid and MiADMSA reversed
arsenic induced oxidative/nitrosative damage in rat red blood cells. Heliyon, 6(2), e03431.
https://doi.org/10.1016/j.heliyon.2020.e03431
Park, D., Propper, C.R., Wang, G., & Salanga, M. C. (2021). Synonymous single nucleotide
polymorphism in arsenic (+ 3) methyltransferase of the Western mosquitofish (Gambusia
anis) and its gene expression among field populations. Ecotoxicology, 30(4), 711–718.
https://doi.org/10.1007/s10646-021-02376-8
Patel, M., Kumari, A., & Parida, A. K. (2020). Arsenic tolerance mechanisms in plants and
potential role of arsenic hyperaccumulating plants for phytoremediation of arsenic-
contaminated soil. In Hasanuzzaman, M.(Editor) Plant ecophysiology and adaptation
under climate change: Mechanisms and perspectives II (pp. 137–162). Springer.
Patel, A. K., Singh, A., Das, N., & Kumar, M. (2021). Health risk associated with consump-
tion of arsenic contaminated groundwater in the ganga and the Brahmaputra floodplain
of India. Case Studies in Chemical and Environmental Engineering, 3, 100103. https://doi.
org/10.1016/j.cscee.2021.100103
Perker, M. C., Orta Yilmaz, B., Yildizbayrak, N., Aydin, Y., & Erkan, M. (2019). Protective
effects of curcumin on biochemical and molecular changes in sodium arsenite-induced
oxidative damage in embryonic fibroblast cells. Journal of Biochemical and Molecular
Toxicology, 33(7), e22320. https://doi.org/10.1002/jbt.22320
Perlman, R. L. (2016). Mouse models of human disease an evolutionary perspective.
Evolution, Medicine, and Public Health, 2016(1), 170–176. https://doi.org/10.1093/
emph/eow014
Pichhode, M., & Gaherwal, S. (2020). Effect of heavy metal toxicity, arsenic trioxide on the
biochemical parameter of fresh water fish, Clarias batrachus. Pollution Research, 39
(February Special), 123–125.
Pillai, P., & Dharaskar, S. (2020Handbook of Solid Waste Management: Sustainability
Through Circular Economy. In Basker, C., Ramakrishna, S., Basker, S., Sharma, R.,
Chinnapan, A., Sehrawat, R. (Eds), (pp. 1–15). Singapore: Springer.
Polak-Juszczak, L., & Szlinder-Richert, J. (2021). Arsenic speciation in fish from Baltic Sea
close to chemical munitions dumpsites. Chemosphere, 284, 131326. https://doi.org/10.
1016/j.chemosphere.2021.131326
Prabu, S., & Sumedha, N. (2014). Ameliorative effect of di-ally trisulphide on arsenic
induced oxidative stress in rat erythrocytes and DNA damage in lymphocytes. Journal
of Basic and Clinical Physiology and Pharmacology, 25(2), 181–197. https://doi.org/10.
1515/jbcpp-2013-0047
36 B. KUMARI AND V. K. BHARTI
Prakash, S., & Verma, A. K. (2019). Effect of arsenic on lipid metabolism of a fresh water cat
fish, Mystus vittatus. Liver, 10(20), 30.
Prakash, S., & Verma, A. K. (2020). Effect of arsenic on serum biochemical parameters of a
fresh water cat fish Mystus vittatus. International Journal of Biological Innovations, 2(1),
11–19. https://doi.org/10.46505/IJBI.2020.2102
Priyanka, U., Akshay Gowda, K. M., Elisha, M. G., Nitish, N., & Mohan, R. (2017).
Biologically synthesized PbS nanoparticles for the detection of arsenic in water.
International Biodeterioration & Biodegradation, 119, 78–86. https://doi.org/10.1016/j.
ibiod.2016.10.009
Pu, S., Sun, H., Hou, X., & Xu, K. (2021). A colorimetric assay for the determination of trace
arsenic based on in-situ formation of AuNps with synergistic effect of arsine and iodide.
Analytica chimica acta, 1144, 61–67. https://doi.org/10.1016/j.aca.2020.11.055
Quintela, F. M., Lima, G. P., Silveira, M. L., Costa, P. G., Bianchini, A., Loebmann, D., &
Martins, S. E. (2019). High arsenic and low lead concentrations in fish and reptiles from
taim wetlands, a Ramsar site in southern Brazil. The Science of the Total Environment,
660, 1004–1014. https://doi.org/10.1016/j.scitotenv.2019.01.031
Rahman, M. A., Rahman, A., Khan, M. Z. K., & Renzaho, A. M. (2018). Human health risks
and socio-economic perspectives of arsenic exposure in Bangladesh: A scoping review.
Ecotoxicology and Environmental Safety, 150, 335–343. https://doi.org/10.1016/j.ecoenv.
2017.12.032
Rahman, M., Sohel, N., Yunus, F. M., Alam, N., Nahar, Q., Streatfield, P. K., & Yunus, M.
(2019). Arsenic exposure and young adult’s mortality risk: A 13-year follow-up study in
Matlab, Bangladesh. Environment International, 123, 358–367. https://doi.org/10.1016/j.
envint.2018.12.006
Ramadan, S. S., Almeer, R., Albasher, G., & Abdel Moneim, A. E. (2021). Lycopene mitigates
arsenic-induced nephrotoxicity with activation of the Nrf2 pathway in mice. Toxin
Reviews, 41(2), 1–11. https://doi.org/10.1080/15569543.2021.1891938
Rand, G. M., Wells, P. G., & McCarty, L. S. (2020). Introduction to aquatic toxicology. In
Rand, G. M. (Editor), Fundamentals of aquatic toxicology (pp. 3–67). CRC Press.
Rao, C. V., Pal, S., Mohammed, A., Farooqui, M., Doescher, M. P., Asch, A. S., & Yamada, H.
Y. (2017). Biological effects and epidemiological consequences of arsenic exposure, and
reagents that can ameliorate arsenic damage in vivo. Oncotarget, 8(34), 57605. https://doi.
org/10.18632/oncotarget.17745
Rasheed, H., Kay, P., Slack, R., & Gong, Y. Y. (2018). Arsenic species in wheat, raw and
cooked rice: Exposure and associated health implications. Science of Total Environment,
634, 366–373. https://doi.org/10.1016/j.scitotenv.2018.03.339
Rehman, M. U., Khan, R., Khan, A., Qamar, W., Arafah, A., Ahmad, A., Ahmad, A., Akhter,
R., Rinklebe, J., & Ahmad, P. (2021). Fate of arsenic in living systems: Implications for
sustainable and safe food chains. Journal of Hazardous Materials, 417, 126050. https://doi.
org/10.1016/j.jhazmat.2021.126050
Rehman, M. Y. A., van Herwijnen, M., Krauskopf, J., Farooqi, A., Kleinjans, J. C., Malik, R.
N., & Briedé, J. J. (2020). Transcriptome responses in blood reveal distinct biological
pathways associated with arsenic exposure through drinking water in rural settings of
Punjab, Pakistan. Environment International, 135, 105403. https://doi.org/10.1016/j.
envint.2019.105403
Ren, Z., Deng, H., Wu, Q., Jia, G., Wen, N., Deng, Y., & Deng, J. (2022). Effect of Selenium
on Brain Injury in Chickens with Subacute Arsenic Poisoning. Biological trace element
research, 200(1), 330–338. https://doi.org/10.1007/s12011-021-02630-4
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 37
Roggenbeck, B. A., Chief, L. K. B., & Walk, S. T. (2021). Antibiotic perturbation of the
murine gut microbiome introduces inter-individual susceptibility to arsenic. Toxicology,
456, 152798. https://doi.org/10.1016/j.tox.2021.152798
Rosales, M., Garcia, A., Fuenzalida, V. M., Espinoza-González, R., Song, G., Wang, B., Yu, J.,
Gracia, F., & Rosenkranz, A. (2020). Unprecedented arsenic photo-oxidation behavior of
few-and multi-layer Ti3C2Tx nano-sheets. Applied Materials Today, 20, 100769. https://
doi.org/10.1016/j.apmt.2020.100769
Rydell-Törmänen, K., & Johnson, J. R. (2019). The applicability of mouse models to the
study of human disease. In Bertoncello, I. (Editor), Mouse cell culture (p. 3). Springer.
1940.
Sage, A. P., Minatel, B. C., Ng, K. W., Stewart, G. L., Dummer, T. J., Lam, W. L., & Martinez,
V. D. (2017). Oncogenomic disruptions in arsenic-induced carcinogenesis. Oncotarget, 8
(15), 25736. https://doi.org/10.18632/oncotarget.15106
Sahu, G., & Kumar, V. (2021). The toxic effect of fluoride and arsenic on behaviour and
morphology of catfish (Clarias batrachus). Nature Environment and Pollution Technology,
20(1), 371–375. https://doi.org/10.46488/NEPT.2021.v20i01.043
Salunke, R. S., Nakate, Y. T., Umar, A., Nakate, U. T., Ahmad, R., & Shirale, D. J. (2021).
Anodic stripping voltammetry analysis of gold nanoparticles functionalized one-dimen-
sional single polypyrrole nanowire for arsenic sensing. Surfaces and Interfaces, 23, 100895.
https://doi.org/10.1016/j.surfin.2020.100895
Samanta, J., Mondal, A., Saha, S., Chakraborty, S., & Sengupta, A. (2020). Oleic acid protects
from arsenic-induced cardiac hypertrophy via AMPK/FoxO/NFATc3 pathway.
Cardiovascular toxicology, 20(3), 261–280. https://doi.org/10.1007/s12012-019-09550-9
Sanyal, T., Bhattacharjee, P., Paul, S., & Bhattacharjee, P. (2020). Recent advances in
arsenic research: Significance of differential susceptibility and sustainable strategies for
mitigation. Frontiers in Public Health, 8, 464. https://doi.org/10.3389/fpubh.2020.
00464
Sanyal, T., Paul, M., Bhattacharjee, S., & Bhattacharjee, P. (2020). Epigenetic alteration of
mitochondrial biogenesis regulatory genes in arsenic exposed individuals (with and
without skin lesions) and in skin cancer tissues: A case control study. Chemosphere,
258, 127305. https://doi.org/10.1016/j.chemosphere.2020.127305
Sarret, G., Guedron, S., Acha, D., Bureau, S., Arnaud-Godet, F., Tisserand, D., Goni-Urriza,
M., Gassie, C., Duwig, C., Proux, O., & Aucour, A. M. (2019). Extreme arsenic bioaccu-
mulation factor variability in Lake Titicaca, Bolivia. Scientific reports, 9(1), 1–12. https://
doi.org/10.1038/s41598-019-47183-8
Sau, S., Sathua, K. B., & Flora, S. J. S. (2020). MiADMSA minimizes arsenic induced bone
degeneration in Sprague Dawley rats. Emerging Contaminants, 6, 204–211. https://doi.
org/10.1016/j.emcon.2020.06.001
Sayed, A. H., Kitamura, D., Oda, S., Kashiwada, S., & Mitani, H. (2019). Cytotoxic and
genotoxic effects of arsenic on erythrocytes of Oryzias latipes: Bioremediation using
spirulina platensis. Journal of Trace Elements in Medicine and Biology, 55, 82–88.
https://doi.org/10.1016/j.jtemb.2019.06.007
Sedki, M., Zhao, G., Ma, S., Jassby, D., & Mulchandani, A. (2021). Linker-free magnetite-
decorated gold nanoparticles (Fe3o4-Au): Synthesis, characterization, and application for
electrochemical detection of arsenic (III). Sensors, 21(3), 883. https://doi.org/10.3390/
s21030883
Sertorio, M. N., Souza, A. C. F., Bastos, D. S. S., Santos, F. C., Ervilha, L. O. G., Fernandes, K.
M., de Oliveira, L. L., & Machado-Neves, M. (2019). Arsenic exposure intensifies glycogen
nephrosis in diabetic rats. Environmental Science and Pollution Research, 26(12), 12459–
12469. https://doi.org/10.1007/s11356-019-04597-1
38 B. KUMARI AND V. K. BHARTI
Shahid, M., Imran, M., Khalid, S., Murtaza, B., Niazi, N. K., Zhang, Y., & Hussain, I. (2020).
Arsenic environmental contamination status in South Asia. IN Srivastava, S. (Editor),
Arsenic in drinking water and food (pp. 13–39). Springer.
Shaji, E., Santosh, M., Sarath, K. V., Prakash, P., Deepchand, V., & Divya, B. V. (2021).
Arsenic contamination of groundwater: A global synopsis with focus on the Indian
Peninsula. Geoscience Frontiers, 12(3), 101079. https://doi.org/10.1016/j.gsf.2020.08.015
Shakeri, A., Fard, M. S., Mehrabi, B., & Mehr, M. R. (2020). Occurrence, origin and health
risk of arsenic and potentially toxic elements (PTEs) in sediments and fish tissues from
the geothermal area of the Khiav River, ardebil province (NW Iran). Journal of
Geochemical Exploration, 208, 106347. https://doi.org/10.1016/j.gexplo.2019.106347
Sharma, P., Goyal, K., Kumar, T., & Chauhan, N. S. (2020). Inimical effects of arsenic on the
plant physiology and possible biotechnological solutions to mitigate arsenic-induced
toxicity. IN Naeem, M., Ansari, A. A., Gill, S.S. (Eds), Contaminants in agriculture (pp.
399–422). Springer.
Sheng, D., Wen, X., Wu, J., Wu, M., Yu, H., & Zhang, C. (2021). Comprehensive probabilistic
health risk assessment for exposure to arsenic and cadmium in groundwater. Environmental
management, 67(4), 779–792. https://doi.org/10.1007/s00267-021-01431-8
Shih, Y. H., Argos, M., & Turyk, M. E. (2019). Urinary arsenic concentration, airway
inflammation, and lung function in the US adult population. Environmental Research,
175, 308–315. https://doi.org/10.1016/j.envres.2019.05.031
Shrivas, K., Patel, S., Sinha, D., Thakur, S. S., Patle, T. K., Kant, T., Dewangan, K., Satnami,
M. L., Nirmalkar, J., & Kumar, S. (2020). Colorimetric and smartphone-integrated paper
device for on-site determination of arsenic (III) using sucrose modified gold nanoparti-
cles as a nanoprobe. Microchimica Acta, 187(3), 1–9. https://doi.org/10.1007/s00604-020-
4129-7
Siddique, T. A., Dutta, N. K., & Roy Choudhury, N. 2020. 6. Nanofiltration for arsenic
removal: Challenges, recent developments, and perspectives. Nanomaterials, 10(7), 1323.
https://doi.org/10.3390/nano10071323
Singh, M., Khan, H., Verma, Y., & Rana, S. V. S. (2019). Distinctive fingerprints of genotoxicity
induced by As, Cr, Cd, and Ni in a freshwater fish. Environmental Science and Pollution
Research, 26(19), 19445–19452. https://doi.org/10.1007/s11356-019-05274-z
Singh, C. K., Kumar, A., & Bindal, S. (2018). Arsenic contamination in rapti river basin, terai
region of India. Journal of Geochemical Exploration, 192, 120–131. https://doi.org/10.
1016/j.gexplo.2018.06.010
Singh, J., Shukla, D., Gupta, S., Shrivastav, B. R., & Tiwari, P. K. (2021). Clinical epidemiol-
ogy of gallbladder cancer in North-Central India and association of immunological
markers, NLR, MLR and PLR in the diagnostic/prognostic prediction of GBC. Cancer
Treatment and Research Communications, 28, 100431. https://doi.org/10.1016/j.ctarc.
2021.100431
Singh, S., & Srivastava, A. K. (2017). Variations in hepatosomatic index (HSI) and gonado-
somatic index (GSI) in fish heteropneustes fossilis exposed to higher sub-lethal concentra-
tion to arsenic and copper. Journal of Ecophysiology and Occupational Health, 15(3–4),
89–93. doi:10.15512/joeoh/2015/v15i3-4/121589.
Smith, M. A. (2020). Nonhuman animal models of substance use disorders: Translational
value and utility to basic science. Drug and alcohol dependence, 206, 107733. https://doi.
org/10.1016/j.drugalcdep.2019.107733
Sohrabi, N., Kalantari, N., Amiri, V., Saha, N., Berndtsson, R., Bhattacharya, P., & Ahmad,
A. (2021). A probabilistic-deterministic analysis of human health risk related to the
exposure to potentially toxic elements in groundwater of Urmia coastal aquifer (NW of
Iran) with a special focus on arsenic speciation and temporal variation. Stochastic
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 39
Environmental Research and Risk Assessment, 35(7), 1509–1528. https://doi.org/10.1007/
s00477-020-01934-6
Sonkoue, B. M., Tchekwagep, P. M. S., Nanseu-njiki, C. P., & Ngameni, E. (2018).
Electrochemical determination of arsenic using silver nanoparticles. Electroanalysis, 30
(11), 2738–2743. https://doi.org/10.1002/elan.201800520
Souza, A. C. F., Machado-Neves, M., Bastos, D. S. S., Santos, F. C., Ervilha, L. O. G., de Paiva
Coimbra, J. L., de Sales Araújo, L., de Oliveira, L. L., & Guimarães, S. E. F. (2021). Impact
of prenatal arsenic exposure on the testes and epididymides of prepubertal rats. Chemico-
Biological Interactions, 333, 109314. https://doi.org/10.1016/j.cbi.2020.109314
Srivastava, S., & Flora, S. J. S. (2020). Arsenicals: Toxicity, their use as chemical warfare
agents, and possible remedial measures. In Gupta, R.C. (Editor), Handbook of toxicology
of chemical warfare agents (pp. 303–319). Academic Press.
Sullivan, C., Lu, D., Senecal, A., & Kurup, P. (2021). Voltammetric detection of arsenic (III)
using gold nanoparticles modified carbon screen printed electrodes: Application for facile
and rapid analysis in commercial apple juice. Food Chemistry, 352, 129327. https://doi.
org/10.1016/j.foodchem.2021.129327
Sun, M., Tan, J., Wang, M., Wen, W., & He, Y. (2021). Inorganic arsenic-mediated
upregulation of AS3MT promotes proliferation of nonsmall cell lung cancer cells by
regulating cell cycle genes. Environmental toxicology, 36(2), 204–212. https://doi.org/10.
1002/tox.23026
Susan, A., Rajendran, K., Sathyasivam, K., & Krishnan, U. M. (2019). An overview of plant-
based interventions to ameliorate arsenic toxicity. Biomedicine & Pharmacotherapy, 109,
838–852. https://doi.org/10.1016/j.biopha.2018.10.099
Taghdisi, S. M., Danesh, N. M., Ramezani, M., Emrani, A. S., & Abnous, K. (2018). A simple
and rapid fluorescent aptasensor for ultrasensitive detection of arsenic based on target-
induced conformational change of complementary strand of aptamer and silica nano-
particles. Sensors and Actuators B, Chemical, 256, 472–478. https://doi.org/10.1016/j.snb.
2017.10.129
Tchounwou, P. B., Yedjou, C. G., Udensi, U. K., Pacurari, M., Stevens, J. J., Patlolla, A. K.,
Kumar, S., & Kumar, S. (2019). State of the science review of the health effects of
inorganic arsenic: Perspectives for future research. Environmental Toxicology, 34(2),
188–202. https://doi.org/10.1002/tox.22673
Thang, N. Q., & Phuong, N. T. K. (2017). Lead and arsenic accumulation and its effects on
plasma cortisol levels in Oreochromis sp. Bulletin of Environmental Contamination and
Toxicology, 99(2), 187–193. https://doi.org/10.1007/s00128-017-2113-7
Thielecke, F., & Nugent, A. P. (2018). Contaminants in grain-a major risk for whole grain
safety? Nutrients, 10(9), 1213. https://doi.org/10.3390/nu10091213
Thomas, D. J. (2021). Arsenic methylation–lessons from three decades of research.
Toxicology, 457, 152800. https://doi.org/10.1016/j.tox.2021.152800
Tokuyama, H., Kitamura, E., & Seida, Y. (2020). Development of zirconia nanoparticle-
loaded hydrogel for arsenic adsorption and sensing. Reactive & Functional Polymers, 146,
104427. https://doi.org/10.1016/j.reactfunctpolym.2019.104427
Tsai, T. L., Kuo, C. C., Hsu, L. I., Tsai, S. F., Chiou, H. Y., Chen, C. J., Hsu, K. H., & Wang, S.
L. (2021). Association between arsenic exposure, DNA damage, and urological cancers
incidence: A long-term follow-up study of residents in an arseniasis endemic area of
northeastern Taiwan. Chemosphere, 266, 129094. https://doi.org/10.1016/j.chemosphere.
2020.129094
Tsuji, J. S., Chang, E. T., Gentry, P. R., Clewell, H. J., Boffetta, P., & Cohen, S. M. (2019).
Dose-response for assessing the cancer risk of inorganic arsenic in drinking water: The
40 B. KUMARI AND V. K. BHARTI
scientific basis for use of a threshold approach. Critical Reviews in Toxicology, 49(1), 36–
84. https://doi.org/10.1080/10408444.2019.1573804
Tsuji, J. S., Lennox, K. P., Watson, H. N., & Chang, E. T. (2021). Essential concepts for
interpreting the dose-response of low-level arsenic exposure in epidemiological studies.
Toxicology, 457, 152801. https://doi.org/10.1016/j.tox.2021.152801
Tuteja, C., Shanthanagouda, A. H., Hundal, S. S., & Dhaliwal, S. S. (2021). Antioxidative role
of dietary ascorbic acid against arsenic induced haematological, biochemical and histo-
morphological alterations in Cyprinus carpio. Comparative Biochemistry and Physiology
Part C: Toxicology & Pharmacology, 241, 108973. https://doi.org/10.1016/j.cbpc.2020.
108973
Uddin, M. T., Mozumder, M., Islam, M., Deowan, S., & Hoinkis, J. (2007). Nanofiltration
membrane process for the removal of arsenic from drinking water. Chemical Engineering
& Technology, 30(9), 1248–1254. https://doi.org/10.1002/ceat.200700169
Upadhyay, M. K., Yadav, P., Shukla, A., & Srivastava, S. (2018). Utilizing the potential of
microorganisms for managing arsenic contamination: A feasible and sustainable
approach. Frontiers in Environmental Science, 6, 24. https://doi.org/10.3389/fenvs.2018.
00024
Verma, S., Verma, P. K., & Chakrabarty, D. (2020). Potential biotechnological strategies to
improve quality and productivity of rice under arsenic stress. In A. Roychoudhury (Ed.),
Rice research for quality improvement: Genomics and genetic engineering. Springer.
https://doi.org/10.1007/978-981-15-4120-9_14
Viscusi, W. K., Huber, J., & Bell, J. (2015). The private rationality of bottled water drinking.
Contemporary Economic Policy, 33(3), 450–467. https://doi.org/10.1111/coep.12088
V. S. K., Raman, R. K., Talukder, A., Mahanty, A., Sarkar, D. J., Das, B. K., Bhowmick, S.,
Samanta S, Manna S. K., Mohanty B. P. (2021). Arsenic bioaccumulation and identifica-
tion of low-arsenic-accumulating food fishes for aquaculture in arsenic-contaminated
ponds and associated aquatic ecosystems. Biological trace element research, 200(6), 2923–
2936. doi:10.1007/s12011-021-02858-0.
Wang, X., Huang, X., Zhou, L., Chen, J., Zhang, X., Xu, K., Huang, Z., He, M., Shen, M.,
Chen, X., Tang, B., Shen, L., & Zhou, Y. (2021a). Association of arsenic exposure and
cognitive impairment: A population-based cross-sectional study in China.
Neurotoxicology, 82, 100–107. https://doi.org/10.1016/j.neuro.2020.11.009
Wang, X., Liu, L., Wang, X., Ren, J., Jia, P., & Fan, W. (2020). Influence of humic acid on
arsenic bioaccumulation and biotransformation to zebrafish: A comparative study
between as (III) and as (V) exposure. Environmental Pollution, 256, 113459. https://doi.
org/10.1016/j.envpol.2019.113459
Wang, T., Sun, X. Y., Li, A. L., Zhou, M. X., Han, Y., Zhang, J. Z., Shen, T., Lou, H. X., Wang,
X. N., & Shen, T. (2019). Botrysphin D attenuates arsenic-induced oxidative stress in
human lung epithelial cells via activating Nrf2/ARE signaling pathways. Biochemical and
Biophysical Research Communications, 518(3), 526–532. https://doi.org/10.1016/j.bbrc.
2019.08.074
Wang, Y., Zhao, H., Mu, M., Guo, M., & Xing, M. (2021b). Zinc offers splenic protection
through suppressing PERK/IRE1-driven apoptosis pathway in common carp (Cyprinus
carpio) under arsenic stress. Ecotoxicology and Environmental Safety, 208, 111473. https://
doi.org/10.1016/j.ecoenv.2020.111473
Wen, S. H., Liang, R. P., Zhang, L., & Qiu, J. D. (2018). Multimodal assay of arsenite
contamination in environmental samples with improved sensitivity through stimuli-
response of multiligands modified silver nanoparticles. ACS Sustainable Chemistry &
Engineering, 6(5), 6223–6232. https://doi.org/10.1021/acssuschemeng.7b04934
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS 41
Wu, X., Sun, R., Wang, H., Yang, B., Wang, F., Xu, H., Chen, S., Zhao, R., Pi, J., & Xu, Y.
(2019). Enhanced p62-NRF2 feedback loop due to impaired autophagic flux contributes
to arsenic-induced malignant transformation of human keratinocytes. Oxidative
Medicine and Cellular Longevity, 2019, 1–12. https://doi.org/10.1155/2019/1038932
Xia, Q., Wang, J., & Wan, J. (2020). Role of siderophore-producing and arsenic-resistant
bacteria in arsenic-contaminated environment. Sheng Wu Gong Cheng Xue Bao= Chinese
Journal of Biotechnology, 36(3), 450–454. https://doi.org/10.13345/j.cjb.190551
Xu, X., Niu, X., Li, X., Li, Z., Du, D., & Lin, Y. (2020). Nanomaterial-based sensors and
biosensors for enhanced inorganic arsenic detection: A functional perspective. Sensors
and Actuators B, Chemical, 315, 128100. https://doi.org/10.1016/j.snb.2020.128100
Xu, Y., Yu, C., Zeng, Q., Yao, M., Chen, X., & Zhang, A. (2021). Assessing the potential value
of Rosa roxburghii tratt in arsenic-induced liver damage based on elemental imbalance
and oxidative damage. Environmental Geochemistry and Health, 43(3), 1165–1175.
https://doi.org/10.1007/s10653-020-00612-4
Yang, Y., Liu, C., Xie, T., Wang, D., Chen, X., Ma, L., & Zhang, A. (2021). Role of inhibiting
Chk1-p53 pathway in hepatotoxicity caused by chronic arsenic exposure from coal-
burning. Human & Experimental Toxicology, 40(7), 1141–1152. https://doi.org/10.1177/
0960327120988880
Yang, T., Zhang, X. X., Yang, J. Y., Wang, Y. T., & Chen, M. L. (2018). Screening arsenic
(III)-binding peptide for colorimetric detection of arsenic (III) based on the peptide
induced aggregation of gold nanoparticles. Talanta, 177, 212–216. https://doi.org/10.
1016/j.talanta.2017.07.005
Yan, S., Wu, F., Zhou, S., Yang,J., Tang, X., & Ye, W. (2021). Zinc oxide nanoparticles
alleviate the arsenic toxicity and decrease the accumulation of arsenic in rice (Oryza sativa
L.). BMC Plant Biology, 21(1), 1–11. https://doi.org/10.1186/s12870-021-02929-3
Yao, M., Zhang, A., Chun, Y, Yuyan, XU, & Yong, HU (2017). Effect of ginkgo biloba on
liver injury of arsenic poisoning rats caused by corn flour baked by high-arsenic coal.
Chinese Journal of Endemiology, 36(5), 333–337. doi:10.3760/cma.j.issn.2095-4255.2017.
05.005.
Yi, Y., Gao, S., Xia, J., Li, C., Zhao, Y., Zhang, Y., Liang, A., & Ji, S. (2020). Study of the
accumulation and distribution of arsenic species and association with arsenic toxicity in
rats after 30 days of oral realgar administration. Journal of Ethnopharmacology, 247,
111576. https://doi.org/10.1016/j.jep.2018.10.037
Zeng, Q., Wei, S., Sun, B., & Zhang, A. (2021). Assessing the potential value and mechanism
of ginkgo biloba L. On coal-fired arsenic-induced skin damage: In vitro and human
evidence. Human & Experimental Toxicology, 40(12), 2113–2122. https://doi.org/10.
1177/09603271211021887
Zeng, Q., & Zhang, A. (2020). Assessing potential mechanisms of arsenic-induced skin
lesions and cancers: Human and in vitro evidence. Environmental Pollution, 260, 113919.
https://doi.org/10.1016/j.envpol.2020.113919
Zhai, W., Wong, M. T., Luo, F., Hashmi, M. Z., Liu, X., Edwards, E. A., Xu, J., & Xu, J.
(2017). Arsenic methylation and its relationship to abundance and diversity of arsM
genes in composting manure. Scientific Reports, 7(1), 1–11. https://doi.org/10.1038/
srep42198
Zhang, A. L., Chen, L., Ma, L., Ding, X. J., Tang, S. F., Zhang, A. H., & Li, J. (2020a). Role of
H3K18ac-regulated nucleotide excision repair-related genes in arsenic-induced DNA
damage and repair of HaCat cells. Human & Experimental Toxicology, 39(9), 1168–
42 B. KUMARI AND V. K. BHARTI
1177. https://doi.org/10.1177/0960327120903482
Zhang, A., Li, H., Xiao, Y., Chen, L., Zhu, X., Li, J., Ma, L., Pan, X., Chen, W., & He, Z.
(2017a). Aberrant methylation of nucleotide excision repair genes is associated with
chronic arsenic poisoning. Biomarkers, 22(5), 429–438. https://doi.org/10.1080/
1354750X.2016.1217933
Zhang, W., Song, D., Tan, Q. G., Wang, W. X., & Zhang, L. (2020c). Physiologically based
pharmacokinetic model for the biotransportation of arsenic in marine medaka (Oryzias
melastigma). Environmental Science & Technology, 54(12), 7485–7493. https://doi.org/10.
1021/acs.est.0c01519
Zhang, A. L., Tang, S. F., Yang, Y., Li, C. Z., Ding, X. J., Zhao, H., Wang, J. H., Yang, G. H., &
Li, J. (2020b). Histone demethylase JHDM2A regulates H3K9 dimethylation in response
to arsenic-induced DNA damage and repair in normal human liver cells. Journal of
Applied Toxicology, 40(12), 1661–1672. https://doi.org/10.1002/jat.4026
Zhang, X., Wei, S., Sun, Q., Wadood, S. A., & Guo, B. (2018). Source identification and
spatial distribution of arsenic and heavy metals in agricultural soil around Hunan
industrial estate by positive matrix factorization model, principal components analysis
and geo statistical analysis. Ecotoxicology and Environmental Safety, 159, 354–362. https://
doi.org/10.1016/j.ecoenv.2018.04.072
Zhang, Y., Young, J. L., Cai, L., Tong, Y. G., Miao, L., & Freedman, J. H. (2019b). Chronic
exposure to arsenic and high fat diet induces sex-dependent pathogenic effects on the
kidney. Chemico-Biological Interactions, 310, 108719. https://doi.org/10.1016/j.cbi.2019.
06.032
Zhang, W., Zhang, L., & Wang, W. X. (2017b). Prey-specific determination of arsenic
bioaccumulation and transformation in a marine benthic fish. The Science of the Total
Environment, 586, 296–303. https://doi.org/10.1016/j.scitotenv.2017.01.222
Zhao, H., Wang, Y., Liu, J., Guo, M., Fei, D., Yu, H., & Xing, M. (2019b). The cardiotoxicity
of the common carp (Cyprinus carpio) exposed to environmentally relevant concentra-
tions of arsenic and subsequently relieved by zinc supplementation. Environmental
Pollution, 253, 741–748. https://doi.org/10.1016/j.envpol.2019.07.065
Zhao, C., Yang, J., Zheng, Y., Yang, J., Guo, G., Wang, J., & Chen, T. (2019a). Effects of
environmental governance in mining areas: The trend of arsenic concentration in the
environmental media of a typical mining area in 25 years. Chemosphere, 235, 849–857.
https://doi.org/10.1016/j.chemosphere.2019.07.010
Zheng, B., Li, J., Zheng, Z., Zhang, C., Huang, C., Hong, J., Li, Y., & Wang, J. (2021). Rapid
colorimetric detection of arsenic (III) by glutathione functionalized gold nanoparticles
based on RGB extracting system. Optics & Laser Technology, 133, 106522. https://doi.org/
10.1016/j.optlastec.2020.106522
Zhou, Q., & Xi, S. (2018). A review on arsenic carcinogenesis: Epidemiology, metabolism,
genotoxicity and epigenetic changes. Regulatory Toxicology and Pharmacology, 99, 78–88.
https://doi.org/10.1016/j.yrtph.2018.09.010
Zubair, M., Martyniuk, C. J., & Shaheen, A. (2018). Rising level of arsenic in water and
fodder: A growing threat to livestock and human populations in Pakistan. Toxin Reviews,
37(3), 171–181. https://doi.org/10.1080/15569543.2017.1348360
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