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Influence of genetic polymorphisms on biomarkers of exposure and effects in children living in Upper Silesia

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This article is a follow-up to our previous molecular epidemiology studies on the DNA damage in children from the Upper Silesia region of Poland. It is expected that metabolic and DNA repair gene polymorphisms may modulate individual susceptibility to environmental exposure. In this study, we investigate the association between polymorphisms of metabolising (CYP2D, EPHX1, GSTM1, GSTP1, GSTT1, NAT2) and DNA repair (XPD, XRCC1, XRCC3) genes and selected biomarkers of exposure and effect such as levels of 1-hydroxypyrene (1-OHP) and urinary mutagenicity, aromatic DNA adducts, sister chromatid exchange (SCE) and micronuclei (MN) in 74 children. Both 1-OHP concentration and urinary mutagenicity tested by TA98+S9 were significantly higher in individuals with EPHX1 (exon 4) Arg/Arg genotype than in individuals with other genotype. The EPHX1 (exon 3) significantly affected urinary mutagenicity tested with strain YG1024+S9. The urinary mutagenicity in individuals with Tyr/Tyr homozygotes was lower than in individuals with Tyr/His and His/His (1057±685 vs. 1432±1003 revertants/mol creatinine). XRCC3 Met/Met genotype was associated with significantly higher levels of 1-OHP in urine compared with only The/Met genotype. The PAH-DNA adduct levels in the subgroup with GSTM1 null genotype was 2-fold higher than in individuals with GSTM1 active (7.06±5.12 vs. 13.14±9.81 adduct/108 nucleotides). The mean level of aromatic DNA adducts in children with deletion of the GSTT1 gene was significantly higher compared with individuals with that gene present (8.03±6.23 vs. 14.66±10.70 adduct/108 nucleotides). Also the carriers of the XPD Lys/Lys genotype showed higher levels of DNA adducts than heterozygotes (13.16±9.70 vs. 6.81±5.86 adducts/108 nucleotides). Children carrying the XRCC3-241 Met/Met genotype exhibited a higher number of SCE in peripheral blood lymphocytes than carriers of Thr/Met allele (8.15±0.86 vs. 7.62±0.79 SCE/cell). It was also observed that children with the GSTP1 slow conjugator had significantly elevated MN in peripheral blood lymphocytes compared with fast conjugator (4.23±3.49 vs. 6.56±5.00 MN/1000 cells).
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doi:10.1093/mutage/get037
Inuence of genetic polymorphisms on biomarkers of exposure and effects in children
living in Upper Silesia
DanutaMielzynska-Svach*, EwaBlaszczyk1,
DorotaButkiewicz2, JuliaDurzynska3 and
MalgorzataRydzanicz4,5
Department of Genetic Toxicology, Institute of Occupational Medicine and
Environmental Health, Koscielna 13 Street, 41–200 Sosnowiec, Poland,
1Department of Environmental Biotechnology, Institute for Ecology of
Industrial Areas, Kossutha 6 Street, 40-844 Katowice, Silesia, Poland, 2Center
for Translational Research and Molecular Biology of Cancer, M.Sklodowska-
Curie Memorial Cancer Center and Institute of Oncology, Gliwice, Poland,
3Department of Molecular Virology, Institute of Experimental Biology,
A.Mickiewicz University, Poznan, Poland, 4Department of Environmental
Mutagenesis, Institute of Human Genetics, Polish Academy of Sciences, Poznan,
Poland and 5Department of Human Molecular Genetic, Institute of Molecular
Biology and Biotechnology, A.Mickiewicz University, Poznan, Poland
*To whom correspondence should be addressed. Tel:+48 32 266 08 85
(ext.177); Fax: +48 32 266 11 24; Email: d.mielzynska@imp.sosnowiec.pl
Received on April 3, 2013; revised on May 15, 2013; accepted on June 4, 2013
This article is a follow-up to our previous molecular epide-
miology studies on the DNA damage in children from the
Upper Silesia region of Poland. It is expected that meta-
bolic and DNA repair gene polymorphisms may modulate
individual susceptibility to environmental exposure. In this
study, we investigate the association between polymorphisms
of metabolising (CYP2D, EPHX1, GSTM1, GSTP1, GSTT1,
NAT2) and DNA repair (XPD, XRCC1, XRCC3) genes and
selected biomarkers of exposure and effect such as levels of
1-hydroxypyrene (1-OHP) and urinary mutagenicity, aro-
matic DNA adducts, sister chromatid exchange (SCE) and
micronuclei (MN) in 74 children. Both 1-OHP concentra-
tion and urinary mutagenicity tested by TA98+S9 were sig-
nicantly higher in individuals with EPHX1 (exon 4) Arg/
Arg genotype than in individuals with other genotype. The
EPHX1 (exon 3) signicantly affected urinary mutagenic-
ity tested with strain YG1024+S9. The urinary mutagen-
icity in individuals with Tyr/Tyr homozygotes was lower
than in individuals with Tyr/His and His/His (1057 ± 685
vs. 1432 ± 1003 revertants/mol creatinine). XRCC3 Met/Met
genotype was associated with signicantly higher levels of
1-OHP in urine compared with only The/Met genotype. The
PAH-DNA adduct levels in the subgroup with GSTM1 null
genotype was 2-fold higher than in individuals with GSTM1
active (7.06 ± 5.12 vs. 13.14 ± 9.81 adduct/108 nucleotides).
The mean level of aromatic DNA adducts in children with
deletion of the GSTT1 gene was signicantly higher com-
pared with individuals with that gene present (8.03 ± 6.23 vs.
14.66 ± 10.70 adduct/108 nucleotides). Also the carriers of the
XPD Lys/Lys genotype showed higher levels of DNA adducts
than heterozygotes (13.16 ± 9.70 vs. 6.81 ± 5.86 adducts/108
nucleotides). Children carrying the XRCC3-241 Met/Met
genotype exhibited a higher number of SCE in peripheral
blood lymphocytes than carriers of Thr/Metallele (8.15 ± 0.86
vs. 7.62 ± 0.79 SCE/cell). It was also observed that children
with the GSTP1 slow conjugator had signicantly elevated
MN in peripheral blood lymphocytes compared with fast
conjugator (4.23 ± 3.49 vs. 6.56 ± 5.00 MN/1000 cells).
Introduction
According to World Health Organisation, estimates up to 25%
of the global burden of disease, especially in childhood, is
due to preventable environmental exposure (1,2). There is a
general recognition that children are more vulnerable to such
exposure by virtue of their increased susceptibility and the
higher doses received. An increased susceptibility in children
is a consequence of higher levels of exposure and uptake,
relative immaturity of metabolic and excretory pathways, and
incomplete development of target organs (3,4). Although in
recent years there has been an increased emphasis on research
aimed at this specic susceptible population, there are still large
gaps in the available data, especially in the area of chronic, low-
level exposure of children in their home and school environment
(5). Three main methods are used to assess human exposure
to chemical and biologic agents: questionnaires and other
indirect means, environmental monitoring including personal
monitoring and biomonitoring. Recently, human biomonitoring
has rapidly gained importance. Now, the measurement and the
use of biomarkers of exposure, effects and susceptibility have
replaced traditional environmental indicators (6).
A highly industrialised and densely populated region of
Upper Silesia in Poland, characterised by considerable lev-
els of occupational and environmental pollution followed by
an increased damage of genetic material in the inhabitants,
has been a major concern of Polish and cooperating foreign
researchers. Starting from the early 90s of the 20th century, the
interest has been focused mainly on molecular consequences of
exposure to complex mixtures containing polycyclic aromatic
hydrocarbons (PAHs) in coke-oven workers (7–11) and non-
occupationally exposed inhabitants of Upper Silesia (12–18),
including children (19–22).
The inuence of individual genetic susceptibility on response
to genotoxic agents is well documented in literature. The bio-
activation of carcinogens is mediated by phase I enzymes
and the reactive metabolites generated during the process are
conjugated by phase II enzymes. Also several cellular repair
pathways have evolved as defence mechanisms to maintain the
genomic integrity against DNA damage (23–25).
Cytochrome P-450 monooxygenases (CYPs) are phase I
enzymes that function in the metabolic activation of PAHs and
other pre-carcinogens. Many CYP450 enzymes are polymorphic
and genotypes associated with high enzyme activity or high
inducibility are supposed to be at risk. Microsomal epoxide
hydrolase (mEH) is a phase II enzyme, which catalyses the
hydrolysis of epoxides into dihydrodiols. This reaction usually
leads to detoxication but in the case of PAHs, mEH is part of
a metabolic activation route, since the dihydrodiol can further
be metabolised by CYP to highly reactive diol epoxides, such
as benzo(a)pyrene diol epoxide (BPDE). One of the major
groups of detoxifying enzymes is glutathione S-transferases
(GSTs). Each GST has distinct catalytic properties: conjugation
with glutathione, peroxidation and isomerisation. N-acetyl
transferases (NATs) can catalyse both reactions of detoxication,
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D. Mielzynska-Svach etal.
such as N-acetylation, and activation, such as O-acetylation of
N-hydroxyaryl amines (26,27).
The Xeroderma pigmentosum (XP) genes, including the
5′→3 helicase encoding XPD gene, code for enzymes that
participate in nucleotide excision repair pathway. The cen-
tral part in base excision repair plays the X-ray repair cross-
complementation group 1 (XRCC1) protein acting as a
mediator of complex protein–protein interactions involving
poly(ADP-ribose) polymerase, DNA polymerase Iand DNA
ligase III. The XRCC3, in turn, is one of the RAD51-like
proteins involved in homologous recombination to maintain
chromosome stability and DNA damage repair. Many com-
mon single-nucleotide polymorphisms have been described in
the XPD, XRCC1 and XRCC3 genes. However, data on their
functional signicance and understanding of their impact on
susceptibility to carcinogens are still inconsistent and insuf-
cient (27–29).
In this study, we investigate the association between allelic
variants of genes encoding for phase I enzymes (CYP2D6
and EPHX1), phase II enzymes (GSTM1, GSTP1, GSTT1,
NAT2) and DNA repair proteins (XPD, XRCC1, XRCC3) and
selected biomarkers of exposure and effect such as levels of
1-hydroxypyrene (1-OHP) and urinary mutagenicity, aromatic
DNA adducts, sister chromatid exchange (SCE) and micronu-
clei (MN) in 74 children from Upper Silesia region of Poland. In
our previous study carried out on this population, a signicant
inuence of exposure to environmental agents on the induction
of cytogenetic effects in peripheral blood lymphocytes (PBL)
was observed (21).
Materials and methods
Individuals
The examined population included 74 healthy children (47 boys and 27
girls), aged 5–14years, who lived in Katowice and Sosnowiec—two cit-
ies located in the most polluted region of the Silesian province. The study
was approved by the Ethics Committee of the Silesian Medical Academy
in Katowice. In compliance with the Polish law, parents of all children
participating in this study gave their written consent. All parents com-
pleted a self-administered questionnaire form including items concerning
children’s demographic variables, health status, medical treatment, dietary
habits and socioeconomic conditions, etc. The study population consisted
of the same children for whom the relationships between DNA adducts and
SCE, as well as between lead and MN, in blood had already been studied
before (21).
Blood and urine sampling
Blood sampling took place in the Institute of Occupational Medicine and
Environmental Health in Sosnowiec during the cold season between November
1998 and March 1999. Blood samples were collected in sodium–heparin tubes
(Vacuette tubes) for setting cell cultures and for DNA extraction. Twenty-four
hour urine samples were collected into sterilised plastic containers. Tubes with
blood specimens were delivered to the laboratory within 2 h and DNA was
isolated immediately. DNA and urine samples were kept frozen at −80°C until
analysis.
Determination of 1-OHP inurine
The determination of 1-OHP in urine was carried out using the high-pressure liq-
uid chromatography method developed by Jongeneelen and Anzion (30). 1-OHP
in the 20 ml urine samples was enzymatically deconjugated and then transferred
to primed C18 Octadecyl cartridges, washed with 10 ml of water and eluted with
9 ml of methanol. The components of the eluate were separated by high-pressure
liquid chromatography on the HP 1090 apparatus (Hewlett Packard) with the
ODS C18 column, whereas 1-OHP was quantitatively determined using the uo-
rescence detector HP 1046 (Hewlett Packard) with 229 nm excitation and 400 nm
emission wavelengths. Concentrations of 1-OHP were expressed in millimole per
mole creatinine to account for differences in urine dilution.
Urinary mutagenicity
The organic substances present in urine were condensed using adsorption and
desorption methods on columns lled with organic resin XAD-2 (31). The
extracts were examined by plate incorporation test (32). Before the exami-
nation, the acetone extracts of urine were dissolved in dimethyl sulfoxide.
Three doses, 20, 40 and 80μl, of dimethyl sulfoxide solution (representing
6, 12 and 24 ml of urine) were examined twice with Salmonella typhimu-
rium strains: TA98 and YG1024 with metabolic activation (+S9 mixture).
Mutagenic effect was expressed as a number of induced revertants per mil-
limole of creatinine (10).
DNA extraction
DNA isolation was carried out using proteinase K digestion, phenol–chloro-
form extraction and ethanol precipitation as described in standard protocols.
The concentration of DNA was determined spectrophotometrically by measur-
ing the UV absorbance at 260 nm and the purity was ascertained by the ratio
at 260/280 nm.
Aromatic DNA adducts analysis
DNA adducts were assessed using 32P-post-labelling method mainly
described by Randerath and Randerath (33). DNA (5μg) was digested with
micrococcal nuclease, phosphodiesterase from calf spleen and nuclease P1
from Penicillum citrinum. Then the digested DNA was labelled with [γ-32P]
ATP catalysed by T4 polynucleotide kinase. Redundant [γ-32P]ATP were
eliminated by apyrase. The labelled material was then separated by thin layer
chromatography on polythyleneimine–cellulose plates and estimated by
autoradiography. The diagonally radioactive zone was excised and quantied
by scintillation counting. The parts of the plates without spots were used as
background.
Determination of cytogenetic endpoints in lymphocytes
Cultures. Venous blood was taken from each subject using heparinised vacu-
tainer tubes. Lymphocyte cultures were set up by adding 0.5 ml of heparinised
blood to 4.5 ml of medium (RPMI 1640)supplemented with 20% heat-inacti-
vated fetal bovine serum, antibiotics (penicillin and streptomycin) and -glu-
tamine. Lymphocytes were stimulated by 1% phytohaemagglutinin.
MN assay. The cultures were incubated at 37°C for 72 and 44 h after the ini-
tiation of cultures; cytochalasin B at a concentration of 6 mg/ml was added
to arrest cytokinesis. MN slides were stained with 10% Giemsa in phosphate
buffer. Atotal of 1000 binucleated cells with well-preserved cytoplasm were
examined for each subject on coded slides. The total number of MN and the
frequency of binucleated cells with MN were scored (34).
SCE assay. The cultures were incubated for 72 h at 37°C with 0.25 ml of
5-bromo-20-deoxyuridine. Colcemid was added 2 h before harvesting. The
cells were collected by centrifugation, resuspended in a pre-warmed hypotonic
solution (0.075 M KCl) for 20 min and xed in acetic acid/methanol (1:3, v/v).
Chromosome preparations and stained slides were prepared following the pro-
cedure by Anthosina and Porjadkowa (35). SCE was scored in 50 metaphases
and presented as a number of SCE per cell. Data from <50 metaphases were
discarded (36).
Analysis of polymorphisms
Blood samples were collected into EDTA-containing tubes. Genomic DNA
was extracted from the peripheral lymphocytes by proteinase K digestion
followed by standard protocols with phenol–chloroform extraction and ethanol
precipitation.
The polymorphic deletions of GSTT1 and GSTM1 genes were determined by
multiplex polymerase chain reaction (PCR) amplication (37). Allelic variants
of the CYP2D6, EPHX1, GSTP1, NAT2, XPD, XRCC1 and XRCC3 genes were
identied by PCR-restriction fragment length polymorphism (RFLP) methods
as described by others (38–44). Previously published multiplex PCR and PCR-
RFLP protocols with some modications were used. The amplication reac-
tions were carried out in a total reaction volume of 30 µl containing 100 ng
genomic DNA, 1U Taq DNA Polymerase, 1× PCR buffer (10 mM Tris-HCl, pH
8.3, 50 mM KCl, 1.5 mM MgCl2), 0.2 mM of each dNTP and 12.5–50.0 pmol of
primers. PCR amplication was conducted in an Eppendorf Mastercycler gra-
dient thermal cycler. The PCR and RFLP products were analysed in ethidium
bromide–stained 1.8 and 2.5% agarose gel, respectively. All studied allelic vari-
ants, primer sequences and PCR-RFLP conditions are summarised in Table I.
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Genetic polymorphisms, biomarkers, children
Statistical analysis
Questionnaire and analytical data were stored in a database and statistically
analysed using STATISTICA for Windows, Version 10, 2011 (StatSoft).
Normal distribution was tested according to Shapiro–Wilks test. The levels
of SCE were normally distributed. The distributions of 1-OHP concentration
and urinary mutagenicity and the level of DNA adducts and MN were skewed
to the right. Therefore, they were transformed (log or square root) to make
their distribution normal (1-OHP, urinary mutagenicity and DNA adducts) or
stabilise the variance (MN). The arithmetic mean and the standard deviation
were used to describe the frequency distribution of biomarkers of exposure
(1-OHP, urinary mutagenicity and DNA adducts) and effects (MN and SCE in
peripheral blood lymphocytes). The differences between the groups were ana-
lysed using the Student’s t-test when the variance was equal or the Levence’s
t-test when the variance was unequal. For the analysis of associations between
the genotype distribution and other discrete parameters, chi-square test in con-
tingency tables was used. Amultiple linear regression analysis was applied to
determine the effect of polymorphisms on biomarkers of exposure and effects
with the confounding factors such as place of living, gender, environmental
tobacco smoke and risk connected with the use of coal-red stoves in houses.
Results
Distribution of genotypes
Out of the original group of 74 children for whom data on
biomarkers of exposure to PAHs and biomarkers of effect
were available (21), the GST (M1, M3, P1, T1), NAT2 and
EPHX1 genotypes were determined in 72 individuals, whereas
the CYP2D6, XPD and XRCC3 genotypes were determined
in 71 individuals. The XRCC1 genotype distribution was
successfully estimated in 69 children. Polymorphisms in the
genes of phases Iand II were merged into dichotomous variable
based upon the known effect on enzymatic function (e.g. low
and fast). For DNA repair genes, all three genotypes were
analysed. Variant distribution of all studied polymorphic genes
in the group is shown in Table II. The frequencies were similar
to those observed in other healthy Caucasian populations
and the distribution was in agreement with Hardy–Weinberg
equilibrium. Girls had a signicantly higher (or 2.4 time higher)
frequency of the GSTM1 active genotype than boys (P=0.026)
and only three children living in a house with coal-red stove
had a CYP2D6 poor metaboliser genotype (P=0.042).
Inuence of genotypes on biomarkers of exposure
The inuence of genetic polymorphisms of phase I and
phase II enzymes and DNA repair on concentration of
1-OHP and urinary mutagenicity is shown in Table III. Both
1-OHP concentration (Figure 1) and urinary mutagenicity
tested by TA98+S9 (Figure2) were signicantly higher in
individuals (only three children) with EPHX1 (exon 4)Arg/
Table I. Sequences of primers and restriction enzymes used in multiplex PCR and PCR-RFLP reactions
Gene Primer name Primer sequence Amplicon
length (bp)
Annealing
Tm (°C)
Restriction
enzyme
Allele name (RFLP
fragments length bp)
CYP2D6 P51 5–GCTGGGGCCTGAGACTT–3201 60 BsaAIa*1 (201)
P522 5–GGCTGGGTCCCAGGTCATAC–3*3 (180; 121)
*1 (190; 163)
P*3 5–CCTGGGCAAGAAGTCGCTGGACCAG–3353 60 MvaIb*4 (353)
P2 5–GAGACTCCTCGGTCTCTCG–3*6 (190; 139; 24)
EPHX1 EPHX3F 5–CCTGACCTCTGTCCTTCCCATCCC–3231 56 Tth111IaT (209; 22)
EPHX3R 5–AATCTTAGTCTTGAAGTGACGGT–3C (231)
EPHX4F 5–GGGGTACCACAGCCTGACCGT–3A (295; 62)
EPHX4R 5–AACACCGGGCCCACCCTTGGC–3357 59 RsaIbG (174; 121)
GSTM1cJ6 5–GCTTCACGTGTTATGAAGGTTC–3132 52
E7A 5–TTGGGAAGGCGTCCAAGCGG–3
E7B 5–TTGGGAAGGCGTCCAAGCAG–3
BGI1 5–CAACTTCATCCACGTTCACC–3
BGI2 5–GAAGAGCCAAGGACAGGTAC–3280
GSTP1 P1F1 5–CAGTGACTGTGTGTTGATCA–3173 58 SnabIa*A (173)
P1R1 5–TGCTCACATAGTTGGTGTAGATGAGGGATA–3*B or C (142; 31)
P1F2 5–ACAGGATTTGGTACTAGCCT–3*A or B (170; 144; 26)
P1R2 5–AGTGCCTTCACATAGTCATCCTTGCGC 170 58 BstUIa*C (170)
GSTT1cTLF 5–TTCCTTACTGGTCCTCACATCTC–3480 60
TLR 5–TCACCGGATCATGGCCAGCA–3
VDRF 5–CCAAGACTACAAGTACCGCGTCAGTGA–3
VDRR 5–AACCAGCGGGAAGAGGTCAAGG–3800
NAT2 Hu7 5–GGCTATAAGAACTCTAGGAAC–31093 50 KpnIb*4 (660; 433)
*5B (1093)
TaqIb* 4 (380; 317; 226; 170)
Hu16 5-GATGAAAGTATTTGATGTTTA-3*6A (396; 380; 317)
BamHb*4 (811; 150; 132)
*7B (1093)
XPD CC5 5-TCAAACATCCTGTCCCTACT-3344 61 PstIbA (244; 110)
CC4 5-CTGCGATTAAAGGCTGTGGA-3C (171; 110; 63)
XRCC1 CC3 5-CAGTGGTGCTAACCTAATC-3871 61 BcnIbG (461; 278; 132)
CC4 5-AGTAGTCTGCTGGCTCTGG-3A (593; 278)
XRCC3 CC7 5-GCCTGGTGGTCATCGACTC-3136 61 NcoIbC (97; 39)
CC8 5-ACAGGGCTCTGGAAGGCACTGCTCAGCTCACGCACC-3T (136)
aNew England Biolabs, Germany.
bFermentas UAB, Lithuania.
cDeletion genotypes of GSTT1 and GSTM1 were determined by multiplex PCR.
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D. Mielzynska-Svach etal.
Arg genotype than in individuals with His/Arg or His/His
genotype. The EPHX1 polymorphism in exon 3 signicantly
affected urinary mutagenicity tested with strain YG1024+S9.
It was observed that urinary mutagenicity in individuals
with Tyr/Tyr homozygotes was lower (low activity) than
in individuals with Tyr/His and His/His (high activity)
(1057 ± 685 vs. 1432 ± 1003 revertants/mol creatinine,
respectively, P = 0.039). XRCC3 Met/Met genotype was
associated with signicantly higher levels of 1-OHP in urine
compared with only The/Met genotypes (P=0.010).
Inuence of genotypes on biomarkers ofeffect
Association between the genotypes and DNA adducts and
number of SCEs and MN frequencies are shown in TableIV.
The arithmetic mean of PAH-DNA adduct levels in the
subgroup with GSTM null genotype was nearly 2-fold higher
than in individuals with GSTM1 A/A, A/B or B/B (7.06 ± 5.12
vs. 13.14 ± 9.81 adduct/108 nucleotides, respectively,
P = 0.005). Similarly, the mean level of aromatic DNA
adducts in individuals (n= 17) with deletion of the GSTT1
gene was signicantly higher compared with individuals
(n= 55) with the gene present (8.03 ± 6.23 vs. 14.66 ± 10.70
adduct/108 nucleotides, respectively, P = 0.008). For DNA
repair gene polymorphisms, statistically signicant result
was observed only for the XPD exon 23. The carriers of the
Lys/Lys genotype showed higher levels of DNA adducts
than heterozygotes (13.16 ± 9.70 vs. 6.81 ± 5.86 adducts/108
nucleotides, respectively, P= 0.002). Children carrying the
XRCC3-241 Met/Met genotype exhibited a higher number
of SCE in PBL than carriers of Thr/Met allele (8.15 ± 0.86
vs. 7.62 ± 0.79 SCE/cell, respectively, P=0.049). It was also
observed that nine children with the GSTP1 slow conjugator–
predicted phenotype had signicantly elevated MN in PBL
compared with 60 children with fast conjugator phenotype
(4.23 ± 3.49 vs. 6.56 ± 5.00 MN/1000 cells, respectively,
P=0.012).
Table II. Distribution of the studied genotypes in Silesian children
Gene Genotype Enzyme activity/
phenotype
N (%)
CYP2D6 *1/*1 Extensive metaboliser 49 (69.0)
*1/*3, *1/*4, *3/*4,
*4/*4
Poor metaboliser 22 (31.0)
EPHX1 (exon 3) TT Low enzyme activity 28 (38.9)
TC, CC High enzyme activity 44 (61.1)
EPHX1 (exon 4) AA Low enzyme activity 45 (62.5)
AG, GG High enzyme activity 27 (37.5)
GSTM1 (+) Functional enzyme 42 (58.3)
(−) Null activity 30 (41.7)
GSTT1 (+) Functional enzyme 55 (76.4)
(−) Null activity 17 (23.6)
GSTP1 AA, AB, AC Fast conjugator 63 (87.5)
BB, BC, CC Slow conjugator 9 (12.5)
NAT2 *4/*4, *4/*5B, *4/
*6A, *4/*7B
Fast acetylator 41 (56.9)
*5B/*5B, *5B/*6A,
*5B/*7B, *6A/*6A,
*6A/*7B, *7B/*7B
Slow acetylator 31 (43.1)
XPD AA 26 (36.6)
AC 32 (45.1)
CC 13 (18.5)
XRCC1 GG 30 (43.5)
GC 32 (46.4)
CC 7 (10.1)
XRCC3 CC 14 (19.7)
CT 25 (35.2)
TT 32 (45.1)
Table III. Biomarkers of exposure in Silesian children by genotypes of phase I, phase II metabolic and DNA repair enzymes
Gene Enzyme activity/
genotype
1-OHP (μmol/mol creatinine) TA98+S9 (revertants/mmol creatinine) YG1024+S9 (revertants/mmol
creatinine)
NMean (standard
deviation)
P N Mean (standard
deviation)
P N Mean (standard
deviation)
P
CYP2D6 Extensive metaboliser 44 0.57 (0.34) 0.121 44 536 (477) 0.078 44 1416 (1016) 0.211
Poor metaboliser 19 0.44 (0.24) 17 363 9195) 17 979 (441)
EPHX1 (exon 3) Low enzyme activity 23 0.56 (0.36) 0.476 24 376 (201) 0.079 24 1057 (685) 0.039
High enzyme activity 41 0.49 (0.21) 38 550 (506) 38 1432 (1003)
EPHX1 (exon 4) Low enzyme activity 41 0.50 (0.26) 0.263 41 416 (202) 0.329 41 1182 (703) 0.212
High enzyme activity 23 0.59 (0.39) 21 615 (658) 21 1492 (1202)
GSTM1 Functional enzyme 37 0.51 (0.36) 0.344 35 547 (530) 0.317 35 1453 (1034) 0.064
Null activity 27 0.56 (0.25) 27 401 (192) 27 1072 (664)
GSTT1 Functional enzyme 50 0.54 (0.33) 0.864 47 482 (433) 0.989 47 1284 (891) 0.864
Null activity 14 0.50 (0.21) 15 488 (401) 15 1298 (982)
GSTP1 Fast conjugator 56 0.51 (0.37) 0.112 54 473 (440) 0.303 54 1282 (926) 0.488
Slow conjugator 8 0.69 (0.30) 8 557 (272) 8 1320 (498)
NAT2 Fast acetylator 34 0.58 (0.37) 0.863 34 531 (536) 0.988 34 1327 (926) 0.864
Slow acetylator 30 0.47 (0.22) 28 426 (317) 28 1239 (895)
XPD AA 21 0.56 (0.28) 0.591 21 499 (280) 0.149 21 1432 (994) 0.260
AC 30 0.50 (0.29) 30 386 (194) 30 1118 (664)
CC 12 0.58 (0.48) 10 770 (882) 10 1536 (1305)
XRCC1 GG 25 0.53 (0.28) 0.898 26 469 (265) 0.759 26 1330 (964) 0.406
GC 29 0.54 (0.37) 26 547 (5800 26 1395 (967)
CC 7 0.46 (0.18) 7 395 (240) 7 902 (489)
XRCC3 CC 14 0.47 (0.24) 0.032 14 423 (234) 0.194 14 1010 (494) 0.107
CT 20 0.40 (0.17) 20 389 (194) 20 1096 (436)
TT 28 0.65 (0.39) 26 609 (588) 26 1613 (911)
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Genetic polymorphisms, biomarkers, children
Multiple linear regression analysis
Multiple linear regression analysis was carried out taking into
consideration the following factors: place of living, gender,
indoor exposure to environmental tobacco smoke, emission from
indoor coal-red stoves and genetic polymorphisms. The analysis
showed that EPHX1 exon 4 polymorphism inuenced urinary
mutagenicity tested by TA98+S9 in a subgroup of children living
in houses (n=4) with a coal-red stove. The signicant inuence
of GSTM1 genotype on the level of DNA adducts was observed
only in 13 girls. When the gene–gene interaction was examined, it
was found out that only GSTM1 and GSTT1 combined genotypes
inuenced the DNA adduct levels. Children with deletions of both
genes (n = 10) had signicantly higher aromatic DNA adduct
levels than those with the genes present (n=35; Figure3).
Discussion
Our previous study showed that the exposure to emission
from indoor coal-red stoves affected the level of 1-OHP and
urinary mutagenicity in children. It was also noticed that there
was a relationship between DNA adducts and SCE, as well as
between lead and MN (all measured in blood). The level of
DNA adducts and SCE was clearly and signicantly associated
with gender with higher levels found in girls (21).
Among the studied gene polymorphisms, only EPHX1
and XRCC3 had a signicant effect on the tested markers of
exposure to PAHs in Silesian children. It was observed that only
children with genotype Arg/Arg in EPHX1 (exon 4)excreted
about twice as much of 1-OHP as children with His/His and
His/Arg genotypes (Figure1). The same phenomenon occurred
in the case of the urinary mutagenicity tested by TA98+S9
(Figure 2). This could, however, be due to the fact that only
three children had genotype Arg/Arg. Urinary mutagenicity
levels tested with strain YG1024+S9 were statistically lower
among Silesian children with the EPHX1 Tyr/Tyr genotype
(exon 3 polymorphism).
So far, the inuence of the EPHX1 gene polymorphisms
at the level of markers of exposure has been studied only in
association with occupational exposure. Several studies have
indicated consistent associations between low mEH activity
genotype/phenotype and lower levels of 1-OHP, urinary muta-
genicity, DNA adducts and BPDE–serum albumin adducts
(45–48). Results regarding the inuence of both EPHX1 poly-
morphisms and their combinations on cancer risk were incon-
sistent (49,50).
Microsomal epoxide hydrolase plays an important role in the
detoxication of toxic, highly reactive intermediates formed
by CYP-mediated reactions (51). Generally, investigations of
the effect of EPHX1 polymorphism focus on two polymorphic
sites but the impact of these sequence variations on the enzyme
activity is not yet conclusive (52,53). Furthermore, EPHX1 var-
iants seem not to have a strong impact on the enzyme kinetics,
probably due to amino acid exchanges distant from the cata-
lytic centre of the protein (46).
GSTs are one of the major groups of detoxifying enzymes.
Each GST has distinct catalytic properties: conjugation with
glutathione, peroxidation and isomerisation. Essential non-
enzymatic role of GST connection with modulation of signal-
ling pathways have also been shown (54). In our study, no effect
of GSTM1 gene polymorphism on the level of excreted 1-OHP
was found, whereas in Mexican children with the GSTM1 null
polymorphism, the risk of high urinary 1-OHP concentrations
was ve times higher (55).
No inuence of GSTM1 polymorphism on urinary muta-
genicity in children has been observed in our studies, which is
similar to results obtained for non-smoking Polish women and
Italian healthy smokers (16,56).
So far the signicant impact on selected biomarkers of
effect in children from Silesia has been attributed to polymor-
phism of genes such as GSTM1, GSTT1, GSTP1, XPD and
XRCC3. The present study demonstrated a signicant associa-
tion between PAH-DNA adduct level and GSTM1 and GSTT1
polymorphism, alone or together (Table IV, Figure 3). There
was a 3-fold higher number of DNA adducts in Silesian chil-
dren with GSTM1 and GSTT1 deletions compared with those
with both genes present (20.3 ± 10.35/108 nucleotides and
7.2 ± 5.36/108 nucleotides). The reliability of these results is
limited due to the small number of children with deletion of
two genes but this problem is extremely interesting because it
can be assumed that a complete lack of both active enzymes
is responsible for a fairly ineffective elimination of reactive
xenobiotics derivatives.
His/HisHis/Arg Arg/Arg
EPHX1 (exon 4) genotype
0,4
0,6
0,8
1,0
1,2
1,4
1,6
1-OHP (µmol/mol creat.)(square- scale)
Mean
Mean±SEM
Mean±SD
HH/HA P = 0.699
HH/AA
P
= 0.015
HA/AA
P
= 0.027
N=41
N=3
N=20
Fig.1. The inuence of genotype of EPHX1 (exon 4)of children on the level
of urinary 1-hydroxypyrene.
His/HisHis/Arg Arg/Arg
EPHX1 (exon 4) genotype
5,2
5,6
6,0
6,4
6,8
7,2
7,6
8,0
8,4
8,8
Urinary mutagenicity on TA98+S9 (rev./mmol creat.)
(log-scale)
Mean
Mean±SEM
Mean±SD
HH/HA P = 0.714
HH/AA
P
< 0.000
HA/AA
P
= 0.005
N=17
N=3
N=41
Fig.2. The inuence of genotype of EPHX1 (exon 4)of children on the
level of urinary mutagenicity in Salmonella typhimurium TA98 strain (with
metabolic activation).
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D. Mielzynska-Svach etal.
GSTM1 is known to detoxify arene oxides, including the
ultimate carcinogenic form of benzo(a)pyrene, BPDE, but
it is not involved in the detoxication of aromatic amines.
Some studies suggest that individuals who are homozygous
null have an increased risk of cancer at a number of sites—
lung, bladder, colon and breast (57). Individuals classied
as GSTM1 null should theoretically have a higher level of
DNA damage (e.g. PAH-DNA adducts) compared with
individuals with the gene present. No effect of GSTM1
genotypes on lymphocyte DNA adducts (32P) was found in
Italian (58), French (59) and Polish coke-oven workers (60).
In environmentally exposed non-smoking women, DNA
adducts were correlated with pollution levels only in GSTM1
active individuals (61). The results on Polish environmentally
exposed individuals showed higher PAH-DNA adduct levels
only in summer samples from subjects with GSTM1 null and
in those with the GSTM1 null/CYP1A1 Ile/Val combination
(62). Wang etal. (63) studying PAH-DNA adduct formation
in African American, Dominican, and Polish mothers and
their newborns who were environmentally exposed to PAHs
found that GSTM1-02 deletion in African Americans had a
protective effect.
No inuence of GSTM1, GSTT1, GSTP1 and NAT2 on DNA
adduct levels has been reported in coke-oven workers from
the Czech Republic (64), Netherland (65), Portugal (66) and
Finland (45). Also two studies on women environmentally
exposed to PAHs indicated a lack of inuence of CYP1A1 and
GSTM1 genotypes on DNA adducts (16,67). No signicant
effect of CYP1A1, GSTM1 and GSTT1 genotype on the levels
of 1-OHP and DNA adducts in children attending schools in
the inner city of Bangkok and rural areas were observed (68).
However, the results are ambiguous, which can be contributed
to different methods for PAH-DNA adduct analyses using dif-
ferent targets, sources and/or levels of exposure (57). It may
also attributed to the fact that the genes of the GST group
among many enzymatic and non-enzymatic functions have
may involved in maintenance of DNA stability and modulate
DNA repair (54).
No papers have been found regarding the impact of GSTT1
null allele on the level of aromatic adducts in DNA or of addi-
tive effect of the combination GSTM1 null/GSTT1 null on this
biomarker. The biological consequences of this polymorphism
are fairly difcult to predict, as the enzyme is involved in both
detoxication and activation reactions. Epidemiological stud-
ies do not show any clear association between the GSTT1 null
genotype and cancer development but an additive effect of the
combination GSTT1 null/GSTM1 null was observed for certain
types of cancers (57).
Table IV. Biomarkers of effect in Silesian children by genotypes of phase I, phase II metabolic and DNA repair enzymes
Gene Enzyme activity/
genotype
DNA adducts (per 108 nucleotides) SCE (per cell) MN (per 1000 cells)
NMean (standard
deviation)
P N Mean (standard
deviation)
P N Mean (standard
deviation)
P
CYP2D6 Extensive metaboliser 49 9.11 (6.42) 0.902 48 7.86 (0.94) 0.951 48 4.85 (3.91) 0.130
Poor metaboliser 22 10.40 (10.83) 22 7.84 (0.73) 20 4.00 (3.32)
EPHX1 (exon 3) Low enzyme activity 28 9.68 (9.44) 0.696 27 8.02 (0.96) 0.233 27 4.57 (4.05) 0.723
High enzyme activity 44 9.54 (7.00) 44 7.76 (0.79) 42 4.40 (3.61)
EPHX1 (exon 4) Low enzyme activity 45 9.92 (8.98) 0.905 44 7.90 (0.85) 0.607 43 4.53 (4.04) 0.755
High enzyme activity 27 9.06 (6.05) 27 7.79 (0.91) 26 4.54 (3.33)
GSTM1 Functional enzyme 42 7.06 (5.12) 0.005 42 7.76 (0.77) 0.247 40 4.82(3.44) 0.327
Null activity 30 13.14 (9.81) 29 8.00 (0.77) 29 4.13 (3.44)
GSTT1 Functional enzyme 55 8.03 (6.23) 0.008 54 7.87 (0.87) 0.828 52 4.36 (3.360 0.431
Null activity 17 14.65 (10.70) 17 7.82 (0.88) 17 5.06 (4.89)
GSTP1 Fast conjugator 63 9.51 (8.07) 0.888 62 7.89 (0.91) 0.492 60 4.23 (3.49) 0.012
Slow conjugator 9 9.89 (7.72) 9 7.67 (0.57) 9 6.56 (5.00)
NAT2 Fast acetylator 41 10.21 (8.54) 0.491 41 7.99 (0.85) 0.148 41 4.46 (3.09) 0.633
Slow acetylator 31 8.77 (7.19) 30 7.68 (0.58) 28 4.46 (4.63)
XPD AA 26 13.16 (9.70) 0.007 26 8.03 (0.79) 0.104 26 4.46 (4.11) 0.181
AC 32 6.81 (5.86) 31 7.60 (0.79) 30 4.07 (3.59)
CC 13 8.82 (6.28) 13 8.10 (1.11) 12 6.25 (4.00)
XRCC1 GG 30 11.11 (9.43) 0.357 30 7.73 (0.92) 0.456 28 4.11 (3.19) 0.815
GC 32 8.38 (6.36) 32 7.94 (0.88) 32 5.16 (4.39)
CC 7 8.02 (8.17) 6 7.64 (0.59) 6 5.17 (2.14)
XRCC3 CC 14 8.73 (7.80) 0.692 14 7.68 (0.91) 0.055 14 4.86 (4.55) 0.802
CT 25 8.74 (6.70) 24 7.62 (0.79) 24 4.54 (3.92)
TT 31 10.63 (9.11) 31 8.15 (0.86) 29 4.41 (3.30)
null/nullnull/active active/nullactive/active
GSTM1 and GSTT1 genotypes
1,0
1,5
2,0
2,5
3,0
3,5
4,0
DNA adducts/108 nucleotides
null/null:null/active
P
= 0.004
null/null:active/null
P
= 0.001
null/null:active/active
P
< 0.000
Mean
Mean±SEM
Mean±SD
N=10
N=35
N=7
N=20
Fig.3. The inuence of genotype of GSTM1 and GSTT1 on the level of DNA
adducts in PBL in children.
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Genetic polymorphisms, biomarkers, children
GSTP1 is another important GST responsible for metabolism
of PAHs. The 105Val (allele A) variant should consequently
be the risk factor for cancer in which PAH is involved in the
a etiology due to a lower rate of detoxication of the active
metabolite.
Our observations concerning the lower frequency of micro-
nuclei in lymphocytes of children with wild-type homozy-
gotous genotypes GSTP1 (A/A) conrm the results of other
studies. Similar results were obtained for population of the
coke-oven workers (69) and 53 policemen from Prague (70)
in which homozygotes with the GSTP1Val105 allele had sig-
nicantly higher MN frequencies than those with the Ile105
allele.
The impact of GSTP1 polymorphism on the increase of
DNA damage (such as micronuclei) was demonstrated in
two works performed with PBLs in vitro exposed to styrene-
7,8-oxide (SO) (71) and doxorubicin (72). In lymphocytes from
healthy donors exposed to SO, a non-signicant increase in
induced MN frequency was found for A/B and A/C genotypes
compared with the wild-type homozygous genotype A/A (71).
Lymphocytes from individuals with the homozygous geno-
type for the variant (Val/Val) had a signicantly higher number
of doxorubicin-induced micronuclei than those with the het-
erozygous genotype. The occurrence of spontaneous lesions
(background controls) in DNA was higher in lymphocytes
from individuals with the Ile/Ile genotype compared with the
heterozygotes (72) similarly to healthy male volunteers in the
study of Czech policemen (70).
Up to now, the major research activities have been focused
on polymorphisms in DNA repair genes as an important com-
ponent of the individual susceptibility phenomenon because
DNA repair activities are closely involved with the protection
of the genome (73). The greater health impact is expected
for genetic polymorphisms that affect genes with key func-
tions in DNA repair such as e.g. XPD, XRCC1 or XRCC3.
Some studies suggest that polymorphisms in these genes can
modulate spontaneous and/or in vitro-induced DNA damage
and/or cancer risk (27,74). However, the overall weight of
such evidence is low because of the minimal incremental risk
associated with variant alleles and inconsistencies in the pub-
lished data (75).
In Silesian children, signicantly higher level of PAH-DNA
adducts was observed in the XPD Lys/Lys homozygotes, in
comparison with Lys/Gln heterozygotes (P=0.002). Asimilar
effect of XPD polymorphism on DNA adducts was observed
in the study of exposure to PAHs carried out among population
from Prague, where homozygous carriers of the Lys/Lys (AA)
showed the highest level of total DNA adduct. This, however,
was observed only in the control group and not among
the exposed policemen (70). A similar effect of XPD-Lys
homozygote on chromosome aberration and micronuclei, as
observed in our study, was recorded in 31 Caucasian women
from the USA and 291 volunteers from Slovakia (76,77).
However, in the case of trafc workers, never-smoking healthy
individuals, ofcers from the Municipality of Rome and people
exposed to Prestige oil with at least one variant allele for XPD-
Lys751Gln polymorphism showed increased mean levels of
DNA adducts, SCE and MN frequency (78–80). Apossible
explanation for these results is that amino acid variants in
different domains of XPD may not only affect different protein
activities, resulting in the expression of different phenotypes
(81), but also the XPD codon 751 polymorphism may have
divergent effects in different DNA repair pathways. Moreover,
this substitution could be in linkage with another XPD variant
responsible for phenotypic effect. It is possible that different
alleles may be in linkage disequilibrium with responsible XPD
variant in different populations.
The Thr241Met substitution in XRCC3 is a non-conservative
change with a possible biological implication for function-
ality of the enzyme and/or the interaction with other protein
involved in DNA damage repair (82). XRCC3 gene polymor-
phism had a signicant impact on the level of urinary excretion
of 1-OHP and the level of SCE in PBL of the Silesian children.
Children who are homozygous Met/Met excreted signicantly
more 1-OHP and had a greater number of SCE in peripheral
blood lymphocytes in comparison with homozygous Thr/Thr.
No studies on the impact of XRCC3 polymorphism on excre-
tion of urinary 1-OHP and SCE levels have been found, either.
The XRCC3-241Met variant was closely associated with higher
DNA adduct level (42). In some studies, it was demonstrated
that the level of SCE was inuenced by XRCC1 gene polymor-
phism but not by XRCC3 (83–85). In this study, a clear associa-
tion between the XRCC3-241Met variant and SCE in children’s
PBL suggested the contribution of homologous recombination
pathways in SCE formation.
Numerous studies have investigated the effects of poly-
morphisms in genes involved in activation/detoxication of
carcinogens and DNA repair on phenotypic biomarkers of
exposure and effect. Only three studies have been conducted
in environmentally exposed children (55,68,86). Since our
ndings are based on relatively small numbers of children,
and therefore might be accidental, further studies are required
to conrm our observations and to obtain explanations for
the suggested inuence of metabolism and, especially DNA
repair, gene polymorphisms on biomarkers of exposure and
effect.
Funding
Polish Committee of Scientic Research (3 P05D 052 24).
Acknowledgement
The authors thank Miroslawa Cyrana-Szram for excellent technical assistance
in the preparation of this article.
Conict of interest statement: None declared.
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... A study by Mielzynska-svach et al. reported a larger scale sampling on genes of encoding phase 1 enzymes (CYP2D6 and EPHX1), phase 2 enzymes (GSTM1, GSTP1, GSTT1, NAT2), and DNA repair proteins (XPD, XRCC1, XRCC3). [48] In that study, 87.5% of respondent carried gene encoding fast conjugator enzyme GSTP1, while 69.0% of children had extensive metabolizer gene, CYP2D6. Gene XRCC3 Met/Met, which plays a substantial role in maintaining chromosome stability and repairing DNA damage, was significantly associated with significantly higher levels of 1-OHP excretion compared with XRCC3 Thr/Met genotypes (P = 0.010). ...
... A growing body of knowledge reported that genotoxicity of PAHs can be assessed in multiple genetic biomarkers like micronucleus, DNA fragmentation, CAs, and SCEs. [31], [44], [48], [54], [55] In this review, we discerned that DNA damage and micronucleus frequency in lymphocytes are the most popular choices for investigating the genotoxic effect of exposure of PAHs. Both biomarkers required meticulous observation, as both involved microscopy analysis. ...
... In this review, only two studies exhibited the interaction of three biomarkers. [21], [48] Hence, these studies can be a good reference in designing a comprehensive environmental epidemiology study. Increasing sample size should be a top priority in designing any PAH-related study, as greater sample size may minimize the variation of the biomarker. ...
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Introduction: The quality of ambient air of industrial and urban area are often characterized by the distribution of polyaromatic hydrocarbons (PAHs) in the atmosphere. PAHs, has been associated with increasing risk of cancer especially among susceptible individual in human population such as children. Investigations of chronic health effect of PAHs can be aided with the help of biomarker application in understanding exposure, mechanism of toxicity, and level of susceptibility. Method: In this article, materials obtained from several online databases such as PubMed, Proquest, Scopus, and Science Direct from 2000 to 2015 were reviewed. The application of biomarker of PAHs exposure and effect among children living in areas with high traffic density and industrial area were summarized. From these two different environments settings, an insight into different exposure of PAHs and it association with health outcomes were given. Results: Fifteen biomarker-associated studies were reviewed. Most of the studies emphasized on the application of urinary 1-hydroxypyrene (1-OHP) and DNA adduct as biomarkers of exposure to PAHs. On the other hand, biomarker of effect was frequently represented by cytogenetic analysis. Which includes chromosomal aberrations, sister chromatid exchanges, micronuclei, comet assay parameters like tail length and percentage of DNA in tail. Conclusion: The application of biomarker in revealing the level of PAH exposure and genotoxicity among children is highly preferable. However, the biomarker itself is still considered insufficient to conclude the toxicity of PAH exposure from traffic and industrial emissions. The environmental monitoring is included in the study in order to understand the correlation of ambient PAHs and health outcomes.
... Moreover, the MN frequency found in both groups were very high compared to the baseline MN frequency suggested for 10 to 14 years old children (MN frequency suggested = 6) based on the meta and pooled analysis (14). Apart from that, exposure to anthropogenic particulate polycyclic aromatic hydrocarbons (PAHs) also increased the level of micronuclei in lymphocytes of children (15). To date, there is no specific cut off point of MN frequency that can be used as a reference to justify the genotoxicity level of cells. ...
... In addition, this study exhibited higher MN frequency as compared to a study of the highly polluted province in Poland with mean micronuclei frequency 6.56±5.00 MN per 1000 cells (15). Besides, the MN value was also higher than a study conducted at Brescia, Italy (17). ...
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Introduction: Air pollutants that possessed genotoxic properties have the potential to induce genetic damage. Micro-nuclei (MN) frequency is used as an indicator for identifying potential genotoxic exposures. A comparative cross-sectional study was carried out among primary school children in a petrochemical industrial area (N=111, Kemaman) and a rural (N=65, Dungun) area in Terengganu. Methods: Validated questionnaires were distributed to obtain the respondents' socio-demographic data, previous exposure and reported respiratory illness. The frequency of micronu-clei was assessed in collected buccal mucosa samples of children. The air monitoring was also carried out at 6 selected schools. Results: Results from the statistical analysis carried out showed significant differences with p=0.001 for all parameters assessed between areas, which included ultrafine particles, UFP (z =-4.842), PM 2.5 (z =-10.392), PM 10 (z=-11.074) NO 2 (z =-11.868), SO 2 (z =-5.667), relative humidity (z =-5.587). The MN frequency was statistically significant with PM 2.5 (χ 2 = 17.78, p=0.001) and PM 10 (χ 2 = 15.429, p =0.001). The statistical analysis also showed a significant association between UFP and coughing (PR=2.965, 95% CI=1.069-8.225). The multiple logistic regression analysis showed that the main pollutants influencing MN frequencies were UFP and NO 2 with UFP (PR=1.877, 95%CI= 1.174-3.002) and NO 2 (PR=1.008, 95%CI= 1.001-1.015). Conclusion: This study demonstrated that exposure to air pollutants may increase the risk of respiratory illness and may induce MN formation among children.
... SO 2 is a highly reactive gas whose concentration is very seasonal, peaking in the winter period (Morakinyo et al., 2020). It has been observed that children are more vulnerable than adults to air pollutants such as SO 2 by virtue of their increased susceptibility and the higher doses received (Mielzynska-Svach et al., 2013;Kochi et al., 2017) as they breathe higher volumes of air, their body systems are still developing and they have little control over their environment unlike adults (Salvi, 2007;Heinrich et al., 2002;Pikhart et al., 2001). Furthermore, exposure to cold temperatures reduces the functions of the nasal epithelium and reduces the capacity to protect the lower respiratory tract. ...
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This article reviewed the published studies on the environmental exposure to polycyclic aromatic hydrocarbons (PAHs) among children and assessed the urinary 1-hydroxypyrene (1-OHP) level as a biomarker of exposure to PAHs. The current knowledge of the potential health effects of increased 1-OHP in children was reviewed. Additionally, the influence of genetic polymorphism on the urinary 1-OHP level was discussed in this review. The assembled data showed that children who are attending schools or living close to industrial and polluted urban areas might have greater exposure to higher concentrations of PAHs with a higher level of urinary 1-OHP when compared to those children living in rural areas. Urinary 1-OHP may be a reliable biomarker for determining the genotoxic effects, oxidative stress and inflammation caused by exposure to PAHs. Strong research evidence indicated that the total body burden of PAHs should be evaluated by biomonitoring of 1-OHP in line with other urinary PAHs metabolites (with 2-3 rings) to evaluate recent total exposure to PAHs. Overall, the study suggests implementing a mitigation plan to combat air pollution to provide a cleaner environment for children.
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Traffic-related air pollutants (TRAPs) are currently increasing due to the increment of vehicle numbers in Malaysia. The emission of pollutants from these vehicles have genotoxic properties that can potentially induce genetic damage in human. In this study, micronuclei assay is used to determine the potential genotoxic exposure by assessing the presence of micronuclei frequency (MN) in buccal cells. The specific objective of this study is to determine the association between TRAPs and frequency of MN among school children in Klang Valley. A comparative cross-sectional study was conducted among primary school children (9–11 years old) in high-density traffic area (n = 94, Kuala Lumpur) and low-density traffic area (n = 94, Hulu Langat). A questionnaire was distributed to the parents to obtain respiratory symptoms information. Buccal cells were analyzed to determine the frequency of micronuclei. Air quality assessment was carried out in a total of 6 schools (consisted of exposed and comparative groups) by using TSI DustTrak DRX Aerosol Monitor 8534 for measurement of PM2.5 and PM10, LaMotte’s Model BD Air Sampling Pump for measurement of Nitrogen dioxide (NO2) and Sulphur dioxide (SO2), ppbRAE 3000 for total Volatile Organic Compound (TVOC) and TSI Q-TRAK 7565 for measurement of Carbon dioxide (CO2) and Carbon monoxide (CO). The concentrations of PM10, PM2.5, NO2, SO2, TVOC and CO at exposed schools were significantly higher (p < 0.005). compared to those in comparative schools. All pollutants were significantly associated (p < 0.001) with respiratory symptom phlegm and MN frequency. Additionally, the MN frequency in the exposed group was significantly higher (p < 0.001) than in the comparative group. All in all, this study demonstrated that air pollutants, especially NO2 and CO, have significantly influenced the MN frequency among children in primary schools. This study suggested that exposure to TRAPs among Malaysian school children has increased the risk for respiratory complications with the formation of MN.
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