ArticlePDF AvailableLiterature Review

Abstract

Cellular senescence is a biological aging hallmark that plays a key role in the development of neurodegenerative diseases. Clinical trials are currently underway to evaluate the effectiveness of senotherapies for these diseases. However, the impact of senescence on brain aging and cognitive decline in the absence of neurodegeneration remains uncertain. Moreover, patient populations like cancer survivors, traumatic brain injury survivors, obese individuals, obstructive sleep apnea patients, and chronic kidney disease patients can suffer age-related brain changes like cognitive decline prematurely, suggesting that they may suffer accelerated senescence in the brain. Understanding the role of senescence in neurocognitive deficits linked to these conditions is crucial, especially considering the rapidly evolving field of senotherapeutics. Such treatments could help alleviate early brain aging in these patients, significantly reducing patient morbidity and healthcare costs. This review provides a translational perspective on how cellular senescence plays a role in brain aging and age-related cognitive decline. We also discuss important caveats surrounding mainstream senotherapies like senolytics and senomorphics, and present emerging evidence of hyperbaric oxygen therapy and immune-directed therapies as viable modalities for reducing senescent cell burden.
Frontiers in Aging Neuroscience 01 frontiersin.org
Cellular senescence in brain aging
and cognitive decline
AreezShafqat
1*, SaifullahKhan
2†, MohamedH.Omer
3,
MahnoorNiaz
2, IbrahemAlbalkhi
1, KhaledAlKattan
1,
AhmedYaqinuddin
1, TamaraTchkonia
4, JamesL.Kirkland
4 and
ShahrukhK.Hashmi
5,6, 7
1 College of Medicine, Alfaisal University, Riyadh, Saudi Arabia, 2 Medical College, Aga Khan University,
Karachi, Pakistan, 3 School of Medicine, Cardi University, Cardi, United Kingdom, 4 Robert and Arlene
Kogod Center on Aging, Mayo Clinic, Rochester, MN, United States, 5 Department of Internal Medicine,
Mayo Clinic, Rochester, MN, United States, 6 Clinical Aairs, Khalifa University, Abu Dhabi, United Arab
Emirates, 7 Department of Medicine, SSMC, Abu Dhabi, United Arab Emirates
Cellular senescence is a biological aging hallmark that plays a key role in the
development of neurodegenerative diseases. Clinical trials are currently underway
to evaluate the eectiveness of senotherapies for these diseases. However, the
impact of senescence on brain aging and cognitive decline in the absence of
neurodegeneration remains uncertain. Moreover, patient populations like cancer
survivors, traumatic brain injury survivors, obese individuals, obstructive sleep
apnea patients, and chronic kidney disease patients can suer age-related brain
changes like cognitive decline prematurely, suggesting that they may suer
accelerated senescence in the brain. Understanding the role of senescence in
neurocognitive deficits linked to these conditions is crucial, especially considering
the rapidly evolving field of senotherapeutics. Such treatments could help alleviate
early brain aging in these patients, significantly reducing patient morbidity and
healthcare costs. This review provides a translational perspective on how cellular
senescence plays a role in brain aging and age-related cognitive decline. Wealso
discuss important caveats surrounding mainstream senotherapies like senolytics
and senomorphics, and present emerging evidence of hyperbaric oxygen therapy
and immune-directed therapies as viable modalities for reducing senescent cell
burden.
KEYWORDS
cellular senescence, aging, cognitive decline, therapy-induced senescence (TIS),
obesity, traumatic brain injury, microglia senescence, astrocyte senescence
Introduction
Increasing life expectancy and a declining birth rate, especially in the West, have led to an
aging population at higher risk of age-related chronic diseases that incur signicant morbidity,
mortality, and healthcare expenditures (Cutler etal., 1990). Consequently, medical research on
promoting healthy aging has become an essential area of investigation carrying signicant public
health and economic implications (Ferrucci etal., 2020).
The mechanisms underlying brain aging have garnered significant attention due to the
significant number of patients suffering from dementia and Alzheimer’s disease (AD). The
cost of managing these patients exceeds that of cancer and cardiovascular disease patients
OPEN ACCESS
EDITED BY
Kristine Freude,
University of Copenhagen, Denmark
REVIEWED BY
Mariana Toricelli,
Association for Research Incentive Fund (AFIP),
Brazil
Ádám Nyúl-Tóth,
University of Oklahoma Health Sciences
Center, UnitedStates
*CORRESPONDENCE
Areez Shafqat
ashafqat@alfaisal.edu
These authors share first authorship
RECEIVED 22 August 2023
ACCEPTED 01 November 2023
PUBLISHED 23 November 2023
CITATION
Shafqat A, Khan S, Omer MH, Niaz M, Albalkhi I,
AlKattan K, Yaqinuddin A, Tchkonia T,
Kirkland JL and Hashmi SK (2023) Cellular
senescence in brain aging and cognitive
decline.
Front. Aging Neurosci. 15:1281581.
doi: 10.3389/fnagi.2023.1281581
COPYRIGHT
© 2023 Shafqat, Khan, Omer, Niaz, Albalkhi,
AlKattan, Yaqinuddin, Tchkonia, Kirkland and
Hashmi. This is an open-access article
distributed under the terms of the Creative
Commons Attribution License (CC BY). The
use, distribution or reproduction in other
forums is permitted, provided the original
author(s) and the copyright owner(s) are
credited and that the original publication in this
journal is cited, in accordance with accepted
academic practice. No use, distribution or
reproduction is permitted which does not
comply with these terms.
TYPE Review
PUBLISHED 23 November 2023
DOI 10.3389/fnagi.2023.1281581
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 02 frontiersin.org
combined (Kukull etal., 2002; Hebert etal., 2013). Importantly,
however, cognitive decline is observable in individuals without
AD or overt neurodegenerative changes (Gonzales etal., 2022).
Age-related mild cognitive impairment (MCI) and late-onset
AD can be mechanistically explained by processes governing
biological aging. Currently, 12 biological aging hallmarks have been
identied: genomic instability, telomere attrition, epigenetic
alterations, loss of proteostasis, altered nutrient sensing,
mitochondrial dysfunction, stem cell exhaustion, altered intracellular
communication, cellular senescence, disabled macroautophagy,
chronic inammation (i.e., inammaging), and gut microbiome
dysbiosis (López-Otín etal., 2013, 2023). e geroscience hypothesis
posits that age-related diseases arise from the cumulative eects of
these biological aging hallmarks and that targeting them
constitutes an avenue to ameliorate age-related diseases (Kennedy
etal., 2014).
Cellular senescence describes a state of cell cycle arrest
accompanied by characteristic morphological, cellular, and molecular
changes (Zhang L. et al., 2022). Studies using pharmacological
targeting of senescent cells (SCs), transplanting SCs, and transgenic
mouse models have demonstrated a causal relationship between SC
accumulation and age-related tissue dysfunction, with addition of SCs
being shown to accelerate aging phenotypes on the one hand and
clearance being shown to alleviate them on the other (Xu etal., 2015;
Tchkonia and Kirkland, 2018; Xu etal., 2018; Kirkland and Tchkonia,
2020; Wang etal., 2020a; Xu etal., 2021; Chaib etal., 2022; Sun etal.,
2022; Zhang etal., 2023). In the brain, SCs become more abundant
with aging in mice, which is associated with cognitive decline, and
their depletion mitigates neuroinammation and delays cognitive
decline (Ogrodnik etal., 2021; Zhang X. etal., 2022).
is review explores the association between cellular senescence
and age-related cognitive decline. We also discuss how cellular
senescence may underlie cognitive decline in dierent patient
populations that exhibit a premature brain aging phenotype. ese
patients include cancer survivors, traumatic brain injury (TBI)
patients, obese individuals, obstructive sleep apnea (OSA) patients,
and chronic kidney disease (CKD) patients. Understanding the role
of senescence in cognitive decline is essential, especially considering
the rapidly evolving eld of senotherapeutics. Targeting SCs could
mitigate early brain aging and reduce a signicant burden on patients,
healthcare systems, and society.
Cellular senescence and
senotherapies
Cellular senescence is a state of cell cycle arrest originally
described in 1961 by Hayick and Moorehead when they observed
that cultured human broblasts stopped dividing aer 40–60 serial
cell divisions (Hayick and Moorhead, 1961). is phenomenon was
due to telomere shortening, which triggered a DNA damage response
(DDR) and induced replicative senescence (Olovnikov, 1973;
Olovnikov, 1996). Senescence induction has now been linked to
various other stimuli, including epigenetic alterations, oxidative stress,
mitochondrial dysfunction, inactivation of tumor suppressor genes,
mechanical or shear stress, pathogens, and activation of oncogenes
(Figure 1; Tchkonia et al., 2013; Gorgoulis et al., 2019; Tripathi
etal., 2021a).
Senescence induction in response to these various stimuli is
orchestrated by the p53/p21
Cip1/Waf1
axis, p16
Ink4a
/Rb axis, and other
mechanisms. e proteins involved in these pathways can serve as
markers of senescence. Other features of SCs can bestructural changes
(attened and enlarged cellular morphology), DNA and nuclear
changes (DDR foci and decreased Lamin-B1 expression), elevated
lysosomal enzyme senescence-associated β-galactosidase (SA β-gal)
active at pH 6, mitochondrial changes [impaired membrane integrity,
increased reactive oxygen species (ROS) production], upregulation of
senescence-associated anti-apoptotic pathways (SCAPs), and
elaboration of a senescence-associated secretory phenotype (SASP)
that can comprise cytokines, chemokines, growth factors, proteases,
bioactive small molecules, and nucleotides (e.g., microRNAs and
mitochondrial DNA) (Figure1; Gorgoulis etal., 2019; Iske etal., 2020;
Tripathi etal., 2021b; Zhang etal., 2021; Nunes etal., 2022). While
these changes can beused to identify SCs, no single specic marker of
SCs is currently agreed upon, and more sensitive and specic markers
of SC burden are needed. To this end, a gene set of 125 senescence-
associated genes called SenMayo was recently used to identify SCs
across multiple tissues in both bulk and single-cell RNA sequencing
(scRNA-seq) data. e genes comprising SenMayo were shown to
increase with aging and beresponsive to SC clearance in transgenic
mice (Saul etal., 2022).
Senescence in aging
Cellular senescence is a double-edged sword. It induces growth
arrest in potentially tumorigenic cells (Schosserer etal., 2017). It also
plays essential roles in normal embryogenesis (Storer etal., 2013; Lorda-
Diez etal., 2015) and wound healing (Demaria etal., 2014; Da Silva-
Álvarez etal., 2020). However, the chronic accumulation of SCs in
tissues leads to tissue dysfunction and chronic disease (Biran etal., 2017;
Xu etal., 2017). To explain this, SCs utilize their SASP to exert cell-
autonomous eects, reinforcing their own senescent phenotype through
autocrine eects, and non-cell-autonomous eects, inducing senescence
in neighboring as well as distant cells (Acosta etal., 2013; Xu etal.,
2018). Additionally, the spillover of SASP factors into the circulation
fosters a chronic low-grade inammatory response that promotes
age-related phenotypes (Figure1; Acosta etal., 2013; Xu etal., 2018).
ese pro-aging eects of SCs are made apparent when
transplanting SCs into healthy mice, which accelerates the aging
process and results in early death (Baker etal., 2011; Xu etal., 2018).
Abbreviations: AD, Alzheimer’s disease; Aβ, amyloid-beta; NFT, neurofibrillary
tangles; TBI, traumatic brain injury; CKD, chronic kidney disease; PD, Parkinson’s
disease; OPCs, oligodendrocyte progenitor cells; OSA, obstructive sleep apnea;
CIH, chronic intermittent hypoxia; SCs, senescent cells; DDR, DNA damage
response; SA β-gal, senescence-associated β-galactosidase; ROS, reactive oxygen
species; SCAPs, senescence-associated anti-apoptotic pathways; SASP,
senescence-associated secretory phenotype; SIPS, stress-induced premature
senescence; CICI, chemotherapy-related cognitive impairment; TIS, therapy-
induced senescence; NSCs, neuronal stem cells; TREM2, triggering receptor
expressed on myeloid cells 2; DAM, disease-associated microglia; ApoE4,
apolipoprotein-E4; REST, repressor element-1-silencing transcription factor;
GWAS, genome-wide association study; EAA, epigenetic age acceleration; HDAC,
histone deacetylase; HFD, high-fat diet; HBOT, hyperbaric oxygen therapy.
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 03 frontiersin.org
SCs are also physically present at sites of chronic diseases, such as
osteoarthritis, idiopathic pulmonary brosis (IPF), cataracts,
age-related macular degeneration, atherosclerosis, sarcopenia, renal
dysfunction, dementias, and organ transplant dysfunction (Chaib
etal., 2022). Mouse models in which highly p16
Ink4a
-or p21
Cip1/Waf1
-
expressing cells can besystemically depleted upon administration of
agents that have little to no eects in wild-type mice have been
developed (Wang etal., 2021; Chandra etal., 2022). ese models have
been utilized to systemically deplete SCs and have helped to establish
a causal relationship between senescence and age-related chronic
diseases (Baker et al., 2011; Demaria et al., 2014; Kirkland and
Tchkonia, 2017).
Senolytics
A pioneering study by Zhu et al. (2015) leveraged the
observation that SCs upregulate SCAPs to suggest a senolytic
approach. is involves using drugs that inhibit SCAPs to selectively
induce apoptosis in SCs (i.e., senolysis). Dasatinib, a
chemotherapeutic agent, and quercetin, a naturally occurring
avonoid, were the rst discovered senolytics. ese drugs
selectively depleted SCs by targeting SCAPs and reduced senescence
markers in the leg muscle and inguinal fat of irradiated mice,
thereby restoring exercise capacity and endurance to levels
comparable to control non-irradiated mice (Zhu et al., 2015).
Fiscetin is also a naturally occurring avonoid closely related to
quercetin that has senolytic properties (Yousefzadeh etal., 2018).
Navitoclax (ABT-263) is an inhibitor of BCL-2, conferring to it its
senolytic eect. However, unlike dasatinib and quercetin, navitoclax
targets a specic SCAP and not SCs specically, leading to o-target
side eects like thrombocytopenia that are dose-limiting (Chang
et al., 2016; Zhu et al., 2016). ese four drugs were the rst-
generation senolytics. Subsequent studies identied numerous
senolytics through the original hypothesis-driven SCAP-targeting
approach, serendipity, and conventional high-throughput library
screens (Chang etal., 2016; Fuhrmann-Stroissnigg etal., 2017; Zhu
et al., 2017; Fuhrmann-Stroissnigg etal., 2019; Xu et al., 2021;
Samakkarnthai etal., 2023). UBX1235 like navitoclax is an anti-BCL
senolytic, but is tailored to targeting senescence-related disorders
FIGURE1
Cellular senescence is classically secondary to telomere shortening and DNA damage, but can also result from other cellular stressors. Hallmarks of
senescence include elevated SA-β-gal activity, reduced lamin-B1 expression, mitochondrial dysfunction and elevated ROS production, apoptosis
resistance by upregulation of SCAPs, and elaboration of a SASP composed of cytokines, chemokines, and growth factors. The SASP mediates the
non-cell autonomous eects of senescence, including senescence-spreading and activating innate and adaptive immune cells to foster chronic
low-grade inflammation. Figure was created using BioRender.com.
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 04 frontiersin.org
in the eye and shown tolerability and encouraging ecacy in phase
I and II clinical studies on age-related macular degeneration
(Hassan and Bhatwadekar, 2022) (NCT05275205). A major
advantage of senolytic drugs is their “hit-and-run” principle of
administration, whereby intermittent administration is as eective
as continuous administration, since senescence induction takes
time and SCs are present only in small numbers in tissues (Kirkland
etal., 2017). e timeline of senolytic drug discovery, i.e., their
evolution from benchwork to clinical trials, has recently been
reviewed (see Chaib etal., 2022).
A recent phase I, single-blinded, single-center, randomized,
placebo-controlled study showed that the combination of dasatinib
and quercetin was generally tolerable and safe in 12 idiopathic
pulmonary brosis (IPF) patients (Nambiar etal., 2023). Mild side
eects were higher in the treatment group and were generally those
associated with the chemotherapeutic drug dasatinib, such as nausea,
weakness, headache, feeling unwell and sleep disturbances (Nambiar
etal., 2023).
There are several ongoing trials to investigate the role of
senolytics in the prevention or progression modulation of
neurodegenerative diseases. These trials include ALSENLITE
(NCT04785300) and SToMP-AD (NCT04063124; NCT04685590).
Preliminary reports from the Phase ISToMP-AD trial of five
participants exploring the use of dasatinib + quercetin, as a
potential treatment for AD were recently reported (Orr etal.,
2023). Blood levels of the compounds increased in all participants
with detectable levels in the cerebrospinal fluid (CSF), and no
reported adverse events. While cognitive and neuroimaging
measures did not significantly change post-treatment, CSF levels
of certain SASP-typical cytokines/chemokines (IL-17E, IL-21,
IL-23, IL-17A/F, IL-17D, IL-10, VEGF, IL-31, MCP-2, MIP-1β,
and MIP-1α) were significantly decreased in treated patients
(Gonzales etal., 2023; Orr etal., 2023).
Senomorphics
Also known as senostatics, senomorphic drugs modulate
senescence markers or attenuate SASP components to achieve
effects similar to senolytics, but without causing apoptotic cell
death (Lagoumtzi and Chondrogianni, 2021). Some of these
agents act on transcriptional regulators of the SASP, such as the
ATM, mTOR, JAK/STAT, and FOXO (Zhang etal., 2023). Among
senomorphic drugs are rapamycin, metformin, and resveratrol
(Zhang etal., 2023). Other compounds, such as procyanidin C1
or intravenous zoledronic acid, can exhibit both senomorphic
and senolytic properties (Xu etal., 2021; Samakkarnthai etal.,
2023). Preclinical research indicates that some senomorphic
drugs can prolong healthspan of mice and decrease the incidence
of various age-related pathologies, including cancers,
cardiovascular diseases, metabolic disorders, cognitive decline,
and neurodegenerative diseases (Zhang etal., 2023).
Cellular senescence in the aging brain
Biologically, the accumulation of SCs in the brain has three main
consequences: neuroinammation, impaired neurogenesis, and
synaptic dysfunction due to astrocyte senescence (Figure2).
Neuroinflammation
An important feature of SCs is their ability to secrete a composite
of pro-inammatory cytokines and chemokines. ese mediators
foster a chronic low-grade inammatory response called
inammaging, which is causally linked to the aging process in the
brain—termed neuro-inammaging (Franceschi et al., 2000;
Franceschi and Campisi, 2014). In general, neuro-inammaging
involves the skewing of the immune system towards activation of
innate immunity and T-helper 2 (TH
2
) responses (Giunta etal.,
2008; Hu etal., 2019). Diseases like multiple sclerosis and AD
accentuate this trend toward non-TH
1
cytokines (Hu etal., 2019). In
the CSF, levels of several cytokines (e.g., IL-1β, IL-4, IL-6, IL-8,
IFNγ, G-CSF, and GM-CSF) are negatively associated with
AD-related progression of cognitive decline, suggesting a protective
function of these factors (Taipa etal., 2019; Albrecht etal., 2021).
Peripheral inammaging features elevations in mediators like IL-1β,
IL-6, TNFα, and CRP, have been linked to the progression of
age-related cognitive decline and the progression of
neurodegenerative disease-related dementia (Feng etal., 2023). A
dierent set of circulating inammatory proteins like IFNγ and
IL-12, which are hallmarks of a TH
1
response, are seemingly
protective against cognitive decline (Yang etal., 2022).
e mediators of neuro-inammaging are thought to bederived
from glial cells such as astrocytes and microglia (Allen etal., 2023).
is is coupled with aging-related blood–brain barrier (BBB)
disruption from dysfunction of the cerebral microvasculature, which
further propagates neuroinammation by making the normally
immune-privileged brain more susceptible to peripheral immune cell
inltration as well as the circulating inammaging mediators
(Watanabe etal., 2020). Studies have demonstrated that age-related
senescence in astrocytes and microglia results in the elaboration of a
pro-inammatory SASP (Chinta etal., 2015; Sikora etal., 2021; Zhang
X. etal., 2022), while endothelial cell and pericyte senescence of the
cerebral microvasculature has been linked to BBB disruption
(Yamazaki et al., 2016; Iwao etal., 2023). Cellular senescence thus
emerges as a key hypothesis that underlies neuro-inammaging,
central to age-related cognitive deterioration with or without
neurodegeneration (Scheiblich etal., 2020).
Regarding vascular senescence, in naturally aged 28-month-old
C57BL/6 mice (roughly equivalent to a 75-year-old human), the
proportion of senescent brain microvascular endothelial cells is 10%
higher compared to 3-month-old mice (Kiss etal., 2020). In genetically
modied BubR1-hypomorphic (BubR1
H/H
) mice, which are progeroid
models displaying accelerated aging phenotypes, endothelial cells and
pericytes of the cerebral vasculature display increased SA β-gal and
p16
Ink4a
activity, which is associated with reduced gap junction
coverage in cerebral micro-vessels and increased BBB permeability
(Yamazaki etal., 2016). Endothelin-1 (ET1)—a potent vasoconstrictor
that is upregulated with aging (Donato etal., 2009)—binds the ET-A
receptor on brain microvascular endothelial cells, leading to an
upregulation of senescence markers and a downregulation of the
adherens junction protein VE-cadherin (Abdul et al., 2022).
Senescence induction in serially passaged pericytes or those isolated
from aged rat brains increase permeability of in vitro BBB models
composed of intact BMECs (Iwao etal., 2023). However, causal links
between vascular senescence and age-related cognitive decline require
assessing whether genetic or pharmacologic modulation of senescence
in endothelial cells or pericytes mitigates this phenotype.
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 05 frontiersin.org
Regarding astrocytes, Clarke et al. (2018) carried out
transcriptional proling of astrocytes through the mouse lifespan
and observed an age-dependent skewing of astrocyte transcriptome
towards a pro-inammatory state, likely under the inuence of
microglia-derived pro-inammatory signals like IL-1, TNF-α, and
C1q. Senescence markers like SA β-gal-positivity, lamin-B1
downregulation, mitochondrial dysfunction, and increased ROS
production are upregulated in aged astrocytes, associated with the
elaboration of a pro-inammatory SASP reminiscent of neurotoxic/
proinammatory (formerly called A1) astrocytes (Liddelow etal.,
2017; Matias etal., 2022). Human astrocytes made senescent by
serial replication elaborate a SASP composed of IL-8, GM-CSF,
angiogenin, MMP-3, MMP-10 and TIMP-2, while the production
of anti-inammatory cytokines like IL-10 is reduced (Lye etal.,
2019). On a molecular level, senescent astrocytes display a
signicant dysregulation in their expression of proteins involved in
splicing of mRNA transcripts, which may allow them to alter their
proteome with respect to the SASP (Lye etal., 2019). Importantly,
mRNA transcripts (e.g., p14
ARF
, GFAP-α, and TAU3) upregulated by
senescent astrocytes have been associated with cognitive decline in
an aging population (Lye et al., 2019). What triggers astrocyte
senescence in the aging brain was recently investigated. Serum
FIGURE2
Senescence contributes to brain aging through three main mechanisms: synaptic dysfunction, neuroinflammation, and impaired neurogenesis.
Synaptic dysfunction can bedue to senescence of astrocytes, which decrease neurotransmitter uptake and display decreased neuroprotective
capacity. Neuroinflammation stems from senescence of astrocytes and microglia, skewing them towards pro-inflammatory phenotypes. Senescence
of cerebrovascular endothelial cells and pericytes may contribute to BBB disruption and consequent leakage of factors like TGF-β, which can induce
astrocyte senescence. Senescence of neuroblasts/neuronal stem cells can activate neurotoxic NK cell functions which, in turn, eliminate neuroblasts,
thereby impairing neurogenesis. Figure was created using BioRender.com.
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 06 frontiersin.org
albumin leaks into the brain parenchyma due to age-related BBB
dysfunction, activates the TGF-β receptor-II on astrocytes, and
induces senescence both in vitro and in vivo (Preininger etal.,
2023). TGF-β-induced senescent hippocampal astrocytes exhibit
increased mRNA levels of SASP components such as TGF-β1,
IL-1β, IL-6, CXCL10, MCP-1, and CCL5 (RANTES), which is
preventable by genetic knockdown or pharmacologic blockade of
the astrocyte TGF-β receptor (Preininger etal., 2023). Whether
modulation of TGF-β-related astrocyte senescence can inuence
cognitive health remains investigational.
Regarding microglia, there is no age-associated brain-wide shi
in their phenotype towards inammation, but subsets of inammatory
microglia do appear in the aged mouse brain, likely driven by local
cues like BBB disruption or microinfarcts (Hammond etal., 2019a).
e hippocampi of aged mice show an accumulation of senescent
p16
Ink4a
-positive microglia and oligodendrocyte progenitor cells
(OPCs) (Ogrodnik etal., 2021). Single-cell analysis of the senescent
microglial population demonstrates increased expression of IGF-1,
MIF, IL-1β, and TIMP-2 (Ogrodnik etal., 2021). Notably, the dentate
gyrus of female mice shows a stronger presence of senescent microglia
and macrophages compared to male. e presence of these senescent
myeloid cells in the dentate gyrus coincides with the downregulation
of mediators of synaptic transmission and inltration of T-cells and
B-cells (Zhang X. etal., 2022). Whole-body clearance of SCs either
genetically (AP20187 in INK-ATTAC mice) or pharmacologically
(dasatinib + quercetin) signicantly alleviated age-associated cognitive
function in naturally aged 25–29-month-old mice (Ogrodnik etal.,
2021). Furthermore, SC depletion with these strategies signicantly
reduced microglial activation and decreased peripheral T-cell presence
into the aged hippocampus (Ogrodnik etal., 2021; Zhang X. etal.,
2022). Hence, clearing SCs in the aged brain may rejuvenate the
immune landscape of the hippocampus and ameliorate age-related
cognitive decline.
Impaired neurogenesis
Neurogenesis is the process of generating new neurons in the
brain and is a relatively recent discovery in humans (Eriksson etal.,
1998). e dentate gyrus of the hippocampus and lateral subventricular
zone (SVZ) act as the neurogenic niches in the adult animal brain.
Neurogenesis in the SVZ is linked to olfaction, while neurogenesis in
the dentate gyrus contributes to learning and memory (Kumar
etal., 2019).
With aging, lamin-B1 is downregulated in the outer granule cell
layer of the dentate gyrus, which is mainly composed of neurons
involved in the consolidation of memory (Matias et al., 2022).
Furthermore, senescence in neuroblasts of the dentate gyrus in aged
humans and mice results in the elaboration of a pro-inammatory
SASP that recruits and activates natural killer (NK) cells, which, in
turn, eliminate neuroblasts (Jin etal., 2021). Attenuation of NK cell
accumulation preserves neurogenesis and improved cognitive
function in aged mice (Jin et al., 2021). Apart from neuronal
senescence, Miranda etal. showed that inoculating neuronal stem cells
(NSCs) with conditioned media of aged astrocytes (isolated from
13-month-old mice) reduces their proliferation compared to
conditioned media of young astrocytes isolated from 3-month-old
mice (Miranda etal., 2012).
Synaptic dysfunction
Synaptic dysfunction is fundamental to brain aging with or
without neurodegeneration. Peri-synaptic processes of astrocytes
enwrap synaptic structures to regulate many aspects of inter-neuronal
communication, including synaptogenesis, synapse maintenance, and
synapse elimination (Sofroniew and Vinters, 2010). ese peri-
synaptic processes of astrocytes particularly cover excitatory synapses,
where they take up glutamate in the synaptic cle via transporters like
GLT-1 and GLAST to prevent excitotoxicity. Glutamate is then
converted to glutamine and supplied to neurons (Tani etal., 2014).
Astrocytes are reported to undergo senescence prematurely in
response to ionizing radiation and hydrogen peroxide (H
2
O
2
)—
termed stress-induced premature senescence (SIPS) (Cohen and
Torres, 2019). SIPS astrocytes downregulate glutamate transporters
and promote excitotoxicity (Limbad etal., 2020). It is important to
state that the inducing stimulus has a profound impact on the specic
phenotype of SCs. Hence, this section discusses the impact of aged/
senescent astrocytes on synaptic function and not the consequences
of SIPS astrocytes (for more detail on SIPS astrocytes see Cohen and
Torres, 2019; Matias etal., 2022).
Astrocytes cultured in vitro to replicative senescence or isolated
from senescence-accelerated mouse models demonstrate a decrease
in their synaptogenic and neuroprotective capacity (Pertusa etal.,
2007; García-Matas etal., 2008; Clarke etal., 2018; Matias etal., 2022).
Indeed, co-culturing neurons with aged astrocytes that upregulate
senescence markers is associated with increased neuron death (Pertusa
et al., 2007; García-Matas etal., 2008). Furthermore, inoculating
hippocampal neurons with replicative senescent astrocyte attenuates
the release of the neurotransmitter glutamate from their presynaptic
terminals, reecting a decreased pool of synaptic vesicles (Kawano
etal., 2012). However, how age-related astrocyte senescence impacts
excitatory neurotransmission is conicting. Studies have demonstrated
both an increase and decrease in glutamate uptake in cortical and
hippocampal senescent astrocytes of aged mice (García-Matas etal.,
2008; Cao etal., 2019; Roalf etal., 2020; Matias etal., 2023). Similarly,
expression levels of glutamate transporters in senescent astrocytes
have been shown to increase and decrease (Lalo etal., 2011; Matias
etal., 2023).
ese diverging phenotypes may be determined by the
senescence-inducing stimulus. Indeed, SIPS astrocytes downregulate
glutamate transporters and promote excitotoxicity (Bitto etal., 2010;
Limbad et al., 2020), whereas senescent astrocytes in the
physiologically aged mouse hippocampus increase glutamate uptake
possibly as a protective mechanism against excitotoxicity (Matias
et al., 2023). Studying the age-related changes in astrocyte
morphology and physiology without the pretext of cellular
senescence, an elegant study compared the morphology and
physiology of astrocytes derived from the CA1 region of the
hippocampus of young (3–4-month-old), adult (9–12-month-old),
and old (20–24-month-old) mice (Popov etal., 2021). As astrocytes
age, their ne processes which enwrap synaptic structures become
atrophic. is is associated with a reduction in the uptake of
extracellular potassium and glutamate with the latter consequently
binding extra-synaptic NMDA receptors, thereby impairing long-
term potentiation (LTP) in the hippocampus—a process underlying
synaptic plasticity responsible for learning and memory (Popov
etal., 2021).
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Frontiers in Aging Neuroscience 07 frontiersin.org
It is important to identify the specic triggers and mechanisms
that drive aged astrocytes to seemingly divergent phenotypes
regarding glutamate homeostasis, and whether these trajectories can
betherapeutically manipulated to ameliorate age-related cognitive
impairment. Whether cellular senescence gures in this process is also
important to determine. Currently, despite cellular senescence being
well-characterized in the context of SIPS astrocytes, its relevance in
the aging process in the context of synaptic dysfunction is unclear.
Glial heterogeneity and senescence
Cellular heterogeneity at the metabolomic, epigenomic,
transcriptomic, and proteomic levels is being increasingly appreciated in
astrocytes and microglia (Shafqat etal., 2023). Current consensus from
the scientic community advocates moving away from the binary
classication of astrocytes and microglia into pro-inammatory (A1 or
M1) and anti-inammatory (A2 or M2) in favor of a spectrum of glial cell
reactivity that ranges between the extremes of pro-inammatory/
neurotoxic and anti-inammatory/neuroprotective phenotypes (Escartin
etal., 2021; Paolicelli etal., 2022). For instance, the functions of the
so-called A1 and A2 genes in astrocytes are mostly unknown, most
astrocytes with aging and disease exhibit a mixed A1/A2 phenotype
(Clarke etal., 2018; Grubman etal., 2019; Al-Dalahmah etal., 2020), and
both pathological and protective clusters of astrocytes can co-exist in CNS
diseases like multiple sclerosis and AD (Wheeler and Quintana, 2019;
Jiwaji etal., 2022). Where astrocytes exist on this reactivity spectrum in
dierent CNS disease states was recently shown to bedetermined by a
core set of 61 transcriptional regulators (Burda etal., 2022), so it would
beworth exploring how age-related astrocyte senescence alters these
transcription factors to modulate astrocyte reactivity.
e binary classication of microglia into M1 and M2 is an in
vitro classication based on the observation that microglia adopt
diverging phenotypes when stimulated by lipopolysaccharide/
interferon-γ and IL-4, respectively. However, this is not reective of
the in vivo reality in the healthy and diseased CNS, which contain a
mixture of M1- and M2-promoting factors that are spatiotemporally
dynamic (Ransoho, 2016). Accordingly, microglia exhibit
tremendous transcriptional heterogeneity, which is contingent upon
their location in the brain and local environmental signals such as
molecules released by astrocytes or BBB disruption in the context of
aging (Zheng etal., 2021; Masuda etal., 2022). In healthy and disease
CNS states, microglia exhibit a mixed M1/M2 gene signature
(Morganti etal., 2016; Masuda etal., 2019), likely determined with
their micro-environment that creates a spectrum of microglial
activation (Xue etal., 2014). With aging, transcriptional microglial
diversity decreases, but region-specic signatures are retained
(Masuda etal., 2019). Gender also plays a key role in determining
microglial state (Guneykaya etal., 2018; Lynch, 2022). With data
showing that senescence in the aging brain is region-and gender-
specic (Zhang X. et al., 2022), whether baseline microglial
heterogeneity contributes to dierential senescence susceptibility and/
or senescence phenotypes based on gender or location in the brain is
an outstanding question. Distinct microglial states appear with aging
like lipid droplet-accumulating microglia (LDAMs) (Marschallinger
etal., 2020) and white matter-associated microglia (WAMs) (Safaiyan
etal., 2021), but whether age-associated senescent microglia constitute
a distinct subset entirely or are a part of one of these other subsets
remains to bedetermined. Furthermore, when considering senescence
in myeloid cells, it is also not known whether senescence aects the
CNS-associated macrophages (CAMs) [also called border-associated
macrophages (BAMs)] that inhabit the perivasculature, choroid
plexus, and meninges.
Genetics of brain aging and cellular
senescence
Brain aging is incredibly heterogenous and its consequences with
respect to cognitive decline and neurodegeneration are not
experienced uniformly. From a biological viewpoint, this may indicate
that the susceptibility of the brain to cellular senescence may dier
between individuals.
Between-individual dierences in susceptibility to aging and
neurodegenerative disease may beunderpinned by the presence or
absence of certain genetic variants. For example, the International
Genomics of Alzheimer’s Disease Project conducted a meta-analysis
of genome-wide association studies to extend the list of genetic
variants associated with AD to more than 25 loci (Kunkle etal., 2019;
Andrews etal., 2020). Genome-wide association studies have also
identied several genetic variants associated with brain aging,
highlighting that brain aging is inuenced by the interaction of
multiple genes with varying functionalities (Hammond etal., 2019b;
McQuade and Blurton-Jones, 2019; Kim etal., 2023).
TREM2
Many genetic variants associated with cognitive decline and AD
are expressed in microglia, such as triggering receptor expressed on
myeloid cells-2 (TREM2) (Jonsson etal., 2013). TREM2 appears to
facilitate the pro-inammatory disease-associated microglia (DAM)
phenotype that appears in various CNS disease states (Keren-Shaul
et al., 2017). It was recently shown that TREM2-expressing
senescent microglia accumulate in aged and AD mouse brains,
which share signicant transcriptomic overlap with ‘highly
activated microglia, a subset that uniquely appears in the brains of
aged mice and may trigger neuroinammatory responses
(Rachmian et al., 2023). Depleting TREM2-positive senescent
microglia in 5xFAD mice (which are models of accelerated Aβ
accumulation and AD) signicantly improved cognitive status and
decreased levels of inammatory cytokines in the brain (Rachmian
etal., 2023).
Apolipoprotein-E4
e apolipoprotein-E4 (ApoE4) allele is the most well-known
genetic variant associated with AD risk (Saeh etal., 2019). ApoE4 is
associated with neuro-inammaging, a decrease in proteins involved
in synaptic plasticity and function, and BBB disruption particularly in
the hippocampus (Halliday etal., 2016; Dai etal., 2018; Montagne
etal., 2020). Broadly speaking, these changes are the same as those
seen in the aging process. e well-established link between ApoE4
and neuro-inammaging is reviewed elsewhere (Kloske and Wilcock,
2020). In terms of biological aging, ApoE4 expression is both a cause
and consequence of mitochondrial dysfunction in the brain (Area-
Gomez etal., 2020; Junxiang etal., 2020; Schmukler et al., 2020;
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Frontiers in Aging Neuroscience 08 frontiersin.org
Wynne etal., 2023), which is implicated in AD pathogenesis and in
cellular senescence (Misrani etal., 2021; Miwa etal., 2022).
At the cellular level, ApoE4 exaggerates microglial
pro-inammatory responses to Aβ in AD mouse models (Kloske etal.,
2021; Serrano-Pozo etal., 2021). ApoE4 leads to an enrichment of a
specic microglial subset in normally aged mouse brains without AD/
neurodegeneration (Lee etal., 2023). ese ‘cluster 6 microglia (Mi_6)’
display a striking transcriptomic similarity to pro-inammatory
DAMs that appear in neurodegenerative disease (Keren-Shaul etal.,
2017; Victor etal., 2022; Lee etal., 2023). ApoE, irrespective of variant,
is believed to play a role in microglial ‘priming’ in early-stage AD by
directing their activation towards a DAM phenotype that phagocytose
tau-expressing neurons, which, in turn, induces senescence and type
IIFN production that is toxic to synapses (Lau etal., 2023). Hence,
ApoE4 may indirectly accelerate microglial senescence.
Separate from microglia, ApoE4 was recently found to decrease
acetyl-CoA levels in hippocampal neurons of elderly ApoE4 mice,
resulting in cellular senescence (Lv etal., 2023). Supplying glycerol
triacetate (GTA) to increase acetyl-CoA levels to ApoE4 elderly mice
decreased cellular senescence in neurons and increased expression of
proteins related to synaptic plasticity.
Repressor element-1-silencing
transcription factor
Repressor element-1-silencing transcription factor (REST)
expression in the brain is associated cognitively healthy brain aging
but is lost in mild cognitive impairment and neurodegeneration (Lu
etal., 2014; Zullo etal., 2019). Functionally, REST appears to protect
neurons from oxidative stress and Aβ-related neurotoxicity and
repress genes associated with AD (Lu etal., 2014). In animals and
humans with extended longevity, REST is upregulated and
downregulates neuronal excitability in the cerebral cortex (Zullo
etal., 2019).
Recently, a GWAS implicated REST and its extended gene
network with cognitive decline (Wang etal., 2023), indicating that
perhaps genetic variations of REST could account for the between-
individual variability in the brain aging phenotype. An obvious area
of mechanistic exploration would be how REST inuences
biological aging hallmarks such as cellular senescence. Neurons
isolated from REST-knockout mice demonstrate impaired
autophagy, loss of proteostasis, higher oxidative stress,
mitochondrial dysfunction and cellular senescence (Rocchi etal.,
2021). Notably, restoring autophagy by treating neurons from
REST-depleted mice with rapamycin reverses the senescence
induction as well as its cellular hallmarks (Rocchi etal., 2021).
ese ndings suggest that REST protects against neuronal
senescence by maintaining autophagic ux in neurons.
Epigenetics of brain aging and cellular
senescence
Epigenetic modications like DNA methylation, histone tail
modications, and microRNAs regulate gene expression without
changing the genome sequence (Bonasio etal., 2010). e epigenome
of humans is incredibly dynamic and undergoes consistent changes in
response to environmental exposures as well as the aging process. In
the brain, age-related epigenetic changes regulate the expression of
genes involved in synaptic plasticity, learning and memory, and
neurogenesis (Miller etal., 2010; Barter and Foster, 2018). is topic
has been reviewed in detail elsewhere (Barter and Foster, 2018;
Harman and Martín, 2020; Bacon and Brinton, 2021).
e consistent nature of DNA methylation alterations in whole
blood and tissues has enabled the development of epigenetic clocks
that leverage these patterns to precisely calculate an individual’s
chronological and/or biological age (Horvath and Raj, 2018). e
Horvath and Hannum clocks predict chronological age (Hannum
etal., 2013; Horvath, 2013), the PhenoAge clock predicts phenotypic
age and GrimAge is predictive of lifespan and mortality risk (Levine
et al., 2018; Lu et al., 2019). e observation that tissues exhibit
dierential susceptibility to epigenetic aging has led studies to create
clocks trained on methylation signatures of a specic tissue. For
instance, a cortical clock trained on DNA methylation data from the
human cortex spanning ages 1–108 years accurately predicted cortical
age in a validation dataset (Shireby etal., 2020). A higher biological
compared to chronological age as measured by epigenetic clocks has
been termed epigenetic age acceleration (EAA) (Horvath and Raj,
2018). Epigenetic age and EAA are signicantly more accurate than
chronological age at predicting age-related atrophic changes of several
regions of the cerebral cortex (Proskovec etal., 2020; Cheong etal.,
2022; Hoare etal., 2022), rationalizing the use of epigenetic clocks as
potential biomarkers of accelerated cortical aging and cognitive
decline risk.
e observation that cellular senescence is associated with
drastic changes in chromatin organization and transcriptomic and
proteomic identity of a cell has led studies to characterize the
epigenome of SCs. A detailed discussion on the broad epigenetic
modications displayed by SCs is beyond the scope of this review
and have been detailed elsewhere (Zhu etal., 2021; Crouch etal.,
2022). Suce it to say that the specic epigenetic alterations seen
in senescent cells are context-dependent, i.e., based on the type of
senescent-inducing stimulus (e.g., replicative senescence vs. SIPS)
(Shock et al., 2011; Chandra et al., 2012; Sakaki et al., 2017).
Accordingly, not all types of cellular senescence are associated with
epigenetic aging as measured by the aforementioned clocks; while
replicative and oncogene-induced SCs are accompanied by
epigenetic aging as measured by the Horvath clock, radiation-
induced SIPS is not (Lowe etal., 2016).
Epigenetic alterations in SCs are particularly important for the
expression of the SASP. Expression of high-mobility group box-2
(HMGB2) in SCs prevents the association of SASP genes into
heterochromatin (Aird et al., 2016). Activating histone tail
modication marks like acetylation and methylation are increased at
key SASP genes in SCs (Capell etal., 2016; Tasdemir etal., 2016). At
the same time, the activity of NAD-dependent histone deacetylase
(HDAC) sirtuin-1, which can deacetylate and thereby decrease the
expression of SASP genes, is decreased in SCs (Hayakawa etal., 2015;
Wiley etal., 2016). KDM4, a histone deacetylase is activated in SCs
secondary to genotoxic stressors like cancer therapy, leading to
signicant chromatin reorganization with increased expression of
SASP proteins (Zhang etal., 2021). Targeting KDM4in SCs attenuates
the SASP without aecting cell-autonomous senescence, improving
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Frontiers in Aging Neuroscience 09 frontiersin.org
response to chemotherapy, and increasing survival in animals (Zhang
etal., 2021). Given the essential nature of cellular senescence in wound
healing and repair, maintaining cell cycle arrest in tumor cells, and
embryogenesis, it may bemore favorable to target the SASP rather
than cell-autonomous senescent phenotype itself. However,
epigenome alterations in the context of senescence in the aging brain
are largely unexplored.
Nativio etal. (2018) showed that cognitively healthy elderly
individuals age dierently at the epigenetic level than patients
suering from neurodegenerative diseases like AD. e histone
acetylation mark H4K16ac shows a genome-wide increase in the
brain of elderly individuals who are cognitive normal, whereas it
decreases in those with AD. e specic regions of DNA that show
H4K16ac alterations in AD patients overlap signicantly with
known genetic variants that confer an increased risk of AD on
GWAS (Nativio etal., 2018). Other studies have shown that an
increase in H3K16ac marks is related to senescence induction and
increased expression of proteins involved in the senescent
phenotype (Dang etal., 2009; Rai etal., 2014). By this way, normal
brain aging and cellular senescence seem to overlap in their
epigenetic changes. Indeed, clustering specic genes showing
H4K16ac changes during cognitively normal aging are also shown
to bealtered in SCs (Nativio etal., 2018). At the same time, AD
appears to not bea consequence of normal aging and age-related
senescence but rather a feature of dysregulated molecular aging.
ese ndings also indicate that cellular senescence in the brain is
not a ubiquitously pathological process that leads to
neurodegenerative disease but rather a process of normal
brain aging.
An example of how histone PTMs in the brain are potentially
modiable by environmental exposure and may be related to
senescence is the neurotoxin paraquat, a risk factor for Parkinson’s
disease (PD). In terms of its mechanism of action, paraquat
increases histone acetylation and decreases activity of HDAC4
(Song etal., 2011). Exposing astrocytes to paraquat in vitro leads to
HDAC4 inhibition-dependent senescence (Chinta etal., 2018).
Furthermore, the burden of senescent astrocytes is increased in
post-mortem brain tissue of PD patients, suggesting that epigenetic
modications in the brain are modiable by environmental factors,
which may then exert their downstream eects through
cellular senescence.
Cellular senescence in early brain
aging
Accelerated aging-like states are a well-established phenomenon
in several patient populations. ese individuals prematurely develop
age-related diseases including cognitive impairment, hinting toward
the acceleration of biological aging processes such as cellular
senescence in the brains of these patients. Evidence for accelerated
brain aging in these patients is presented in Table1, while Table2 links
the premature brain aging phenotype in these patients to cellular
senescence. e direct role of senescence in CKD-and OSA-associated
accelerated brain aging has not been demonstrated, hence wehave
restricted Table 2 to important studies on TBI, cancer therapy,
and obesity.
Traumatic brain injury
Mild TBIs, including concussions or other minor sub-concussive
head trauma, are common in the general population. All forms of TBI
regardless of severity confer a higher long-term risk of dementia
(Gardner etal., 2014). TBI is also associated with an increased long-
term risk of developing early-onset AD, PD, and chronic traumatic
encephalopathy (Nambiar etal., 2023).
Senescence markers like SA-β-gal, reduced lamin-B1,
γ-H2AX, and SASP components IL-1β, IL-6, CXCL1, and CCL8
are elevated in the brains of repeated TBI mouse models
displaying cognitive deficits and in post-mortem brain samples
of individuals with a history of repeated concussions (Tominaga
et al., 2019; Schwab etal., 2019a,b; Mester etal., 2021). TBI
acutely induces oxidative stress and DDRs in the brain (Singh
etal., 2006; Czarny etal., 2015; Halstrom etal., 2017). Indeed,
markers of DDR are significantly elevated 24 h after injury, while
gene expression profiles at 7 and 14 days post-injury are
consistent with cellular senescence and the production of a
pro-inflammatory SASP (Schwab etal., 2021). Aged mice display
worse motor and cognitive outcomes post-TBI than younger
mice, associated with a higher senescence burden in the cortex
and in microglia at baseline that is significantly exacerbated by
the traumatic insult (Ritzel et al., 2019). This microglial
phenotype of aged mice exhibits diminished homeostatic
functions and skewing towards inflammation, which may explain
why aged mice develop more pronounced neuroinflammation
post-TBI (Ritzel etal., 2019). These findings suggest that a higher
burden of SCs may explain why older age is a poor prognostic
factor for TBI.
Abnormal protein accumulation is a pathologic hallmark of
TBI. Like AD, TBI features Aβ accumulation, which has been
found to trigger senescence in astrocytes (Bhat etal., 2012; Shang
etal., 2020), microglia (Flanary etal., 2007), and NSCs (Wei etal.,
2016; Scopa etal., 2020; Ohline etal., 2022). Depleting senescent
OPCs with the senolytic cocktail of dasatinib and quercetin
reduces Aβ load, alleviates neuroinflammation, and improves
cognitive function (Zhang etal., 2019). TBI also promotes the
intracellular accumulation of hyperphosphorylated tau in
neurofibrillary tangles (NFTs) in neurons (Katsumoto etal., 2019;
Edwards etal., 2020). In AD, NFT-containing neurons upregulate
p16
Ink4a
and pro-inflammatory SASP, associated with cerebral
atrophy and cognitive decline (Musi etal., 2018). The senolytic
cocktail of dasatinib and quercetin significantly reduces the
burden NFT-containing cortical neurons, decreasing cerebral
atrophy and suppressing pro-inflammatory SASP expression
(Musi et al., 2018). Senescent astrocytes and microglia also
accumulate in mouse models of tauopathy, promoting cortical
degeneration and cognitive dysfunction (Bussian etal., 2018).
Tau-induced senescent astrocytes contribute to cognitive decline
via HMGB1 and NLRP3 inflammasome activation (Gaikwad
etal., 2021). Admittedly however, prominent distinctions between
the pathophysiology of AD and TBI are evident (Katsumoto etal.,
2019). For instance, cellular senescence appears to bean acute
consequence of TBI which precedes pathologic protein, but is a
consequence of Aβ and hyperphosphorylated tau in AD (Schwab
etal., 2021).
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Frontiers in Aging Neuroscience 10 frontiersin.org
Repeated mild TBI is also associated with the emergence of senescent
astrocytes and neurons in the cortex and hippocampus (Schwab etal.,
2022). Single-cell RNA-sequencing of neurons revealed several
transcriptionally distinct neuronal clusters all of which upregulate core
features of cellular senescence including p16Ink4a/p21Cip1/Waf1, SCAPs, and
a pro-inammatory SASP. e transcriptome of astrocytes indicated the
production of a pro-inammatory SASP and dysregulated glutamate
neurotransmission with downstream excitotoxicity, indicating the TBI
serves as a type of SIPS stimulus in astrocytes with downregulation of
glutamate transporters (Schwab et al., 2022). Administration of the
senolytic ABT263 signicantly decreases p21
Cip1/Waf1
expression and
improves memory and executive function in male mouse models of
repeated mild-TBI (Schwab etal., 2022).
Cancer survivors and therapy-induced
senescence
Adult and childhood cancer survivors experience accelerated
aging manifested in the premature onset of frailty, sarcopenia,
osteoporosis, osteoarthritis, second cancers, endocrinopathies, and
other chronic diseases earlier than age-matched healthy controls (Ness
etal., 2015; Cupit-Link etal., 2017; Shafqat etal., 2022).
Cancer treatment-related cognitive impairment is well-
documented and aects patients regardless of cancer type and location
(Lange etal., 2019; Országhová etal., 2021; Table1). Cancer treatments
such as chemotherapy, radiotherapy, hormonal therapy, and
immunotherapy induce senescence in tumor cells but also in normal
cells, known as therapy-induced senescence (TIS) (Wang et al.,
2020b). Radiotherapy exposure triggers a DDR that promotes
apoptosis or senescence, both of which would arrest tumor growth.
However, this phenomenon occurring in non-tumor cells leads to
systemic SC accumulation and subsequent tissue aging (Wang
etal., 2020b).
Radiation-induced brain injury is a major risk factor for long-
term neurocognitive dysfunction in cancer survivors (Greene-
Schloesser et al., 2012). One-year-old mice exposed to full-body
radiation exhibit a signicantly higher burden of senescent neurons
in the hippocampus comparable to levels in two-year-old mice, which
is associated with cognitive decline (Fielder etal., 2022). Similarly,
the irradiated brain tissue of cancer patients exhibits a signicantly
higher burden of p16
Ink4a
-positive senescent astrocytes than
age-matched controls and patients with the same cancer type who did
not receive radiation (Greene-Schloesser etal., 2012; Turnquist etal.,
2019), although whether the irradiated cancer group demonstrated a
greater burden of neurocognitive decits was not determined.
TABLE1 Evidence on early brain aging in certain patient populations.
Patient population Evidence about premature brain aging
Cancer survivors
Cancer survivors overall and survivors of cancer for 5 years before cognitive testing, respectively, were signicantly more likely than their
co-twin to develop cognitive dysfunction (OR = 2.10, 95% CI = 1.36 to 3.24; p< 0.001) and (OR = 2.71, 95% CI = 1.47 to 5.01; p< 0.001)
(Hein etal., 2005).
At a mean of 12 years aer treatment for low-grade gliomas, patients who received radiotherapy had signicantly worse attention decits—
even supposed safe fraction doses (2 Gy)—than those who did not receive radiotherapy (Douw etal., 2009).
Traumatic brain injury
TBI is associated with increased dementia risk (hazard ratio (HR) = 1.46; 95% CI = 1.41–1.52). Moderate/severe TBI increased risk of
dementia across all ages (age 55–64: HR = 1.72; 95% CI 1.40–2.10 vs. age 65–74: HR = 1.46; 95% CI 1.30–1.64), whereas mild TBI may
bemore detrimental with increasing age (age 55–64 HR = 1.11; 95% CI 0.80–1.53 vs. age 65–74 HR = 1.25; 95% CI 1.04–1.51) (Gardner etal.,
2014).
A recent study examined the impact of mild TBIs on brain aging in 133 participants aged 20–83 years using T1-weighted magnetic
resonance (MRI) imaging findings taken within 7 days and 6 months after TBI. This study showed that mild TBI ages the brain of
older adults (>60 years old) by approximately 10 years. Biologically, hallmarks of CNS aging such as neuroinflammation, glial cell
reactivity, excitotoxicity, and abnormal protein accumulation—tau and amyloid-beta (Aβ)—have been observed in TBI brains
(Halstrom etal., 2017).
Obesity
Obesity increases the risk of mild cognitive impairment, independent of age and cardiovascular risk factors. Obesity in middle-aged adults
increases risk of dementia by 1.5–2 times up to the age of 65 (Dahl et al., 2013; Hassing et al., 2010; Whitmer et al., 2008).
Obesity has been shown to double the risk of Alzheimer’s disease (Anstey etal., 2011; Pedditzi etal., 2016), with postmortem studies of obese
elderly individuals showing increased concentrations of amyloid-beta and hyperphosphorylated tau, which were associated with
hippocampal atrophy (Mrak, 2009).
Obstructive sleep apnea
Compared to controls, patients with moderate–severe OSA performed worse on the Rey Auditory-Verbal Learning test (immediate and
delayed recall), Stroop test, and Digit span backward scores. Patients with moderate–severe OSA had a lower volume of cortical gray matter
(GM), right hippocampus, and the right and le caudate (Torelli etal., 2011).
Greater OSA severity, as indicated by a higher AHI score and lower oxygen saturation during sleep, is directly correlated with the promotion
of several biological aging hallmarks in patients younger than 50 years old, including altered cellular communication, dysregulated nutrient
sensing, mitochondrial dysfunction, and genomic instability (Pinilla etal., 2021).
Chronic kidney disease
A meta-analysis of cross-sectional and longitudinal studies, respectively, of 54, 779 CKD patients demonstrated that patients with CKD were
signicantly more likely to suer cognitive decline than patients without CKD (OR 1.65, 95% CI 1.32–2.05; p< 0.001 and OR 1.39, 95% CI
1.15–1.68; p< 0.001, respectively) (Etgen etal., 2012).
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 11 frontiersin.org
Irradiated human senescent astrocytes downregulate glutamate
transporters that lead to excitotoxicity (Limbad et al., 2020).
Furthermore, co-culturing NSCs with irradiated human senescent
astrocytes decreases NSC viability and increases their apoptosis,
mediated by astrocyte-derived IL-6 (Turnquist etal., 2019). Reversing
astrocyte senescence attenuates astrocyte-mediated
neuroinammation, indicated by reduced IL-6 production, and
increases mRNA expression of the neurotrophic factor IGF-1
(Turnquist etal., 2019). Administering senolytic drugs (navitoclax or
dasatinib+quercetin) or senomorphic drugs (metformin) to
sub-lethally irradiated mice eectively prevents frailty progression,
improves muscle and liver function, and improves short-term
memory, although the exact brain cell types targeted by these
medications which resulted in improved memory were not
determined (Fielder etal., 2022). Nevertheless, emerging evidence
suggests that cellular senescence could bea novel therapeutic target
for preventing radiotherapy-related cognitive decits in
cancer survivors.
Chemotherapy-induced cognitive impairment (CICI) is a well-
known phenomenon that aects long-term outcomes of cancer
survivors, encompassing decits in memory, executive function,
attention, processing speed, and psychomotor dysfunction (Ossorio-
Salazar and D’Hooge, 2023). With respect to chemotherapy, Demaria
et al. reported that doxorubicin-treated mice have systemic
upregulation of senescence markers and SASP components like IL-1,
IL-6, MMP-3/9, CXCL1, CXCL10, and CCL20 (Demaria etal., 2017).
It is remarkable that depleting SCs almost entirely prevents
doxorubicin-induced cardiomyopathy and signicantly increases the
nocturnal running time of mice (Demaria etal., 2017). Similarly, the
targeted apoptosis of SCs mitigates doxorubicin-induced
hepatotoxicity and improves tness, fur density, and renal function of
prematurely aged and normally aged mice (Baar etal., 2017).
Paclitaxel is a notorious chemotherapeutic agent known to cause
CICI (Ahire etal., 2023). Treating transgenic p16-3MR mice with
paclitaxel for 10 days resulted in cerebrovascular endothelial cell
senescence (SA-β gal-positivity), which was associated with decits in
spatial memory cognitive performance, a decrease in microvascular
density, and an increase in BBB permeability and neuroinammation.
Importantly, genetically (ganciclovir) or pharmacologically (senolytic
anti-BCL2 agent ABT263) depleting senescent endothelial cells in
p16-3MR mice restored BBB integrity, decreased neuroinammation,
improved microvascular density, and improved cognitive performance
(Ahire etal., 2023). ese results, for the rst time, made a strong case
that senescence of cerebrovascular endothelial cells is involved in the
pathogenesis of CICI and that senolytic treatment may be a novel
intervention for ameliorating CICI.
Obesity
Obesity negatively impacts cognition independent of its
cardiovascular comorbidities and increases the lifetime risk of
Alzheimer’s disease and dementia (Beydoun et al., 2008).
Neuroimaging studies in obese patients have shown reduced cortical
volume, particularly in areas mediating cognition such as the
hippocampus (Ward etal., 2005; Raji etal., 2010; Table1).
TABLE2 Evidence of cellular senescence in early brain aging.
Patient population Evidence of cellular senescence in early brain aging
Traumatic brain injury
Subjecting young (12-week-old) and aged (18-month-old) male C57BL/6 mice to controlled cortical impact (CCI) results in more severe
decits in forelimb grip strength, balance, motor coordination, spontaneous locomotor activity, and anxiety-like behavior in the aged group.
Aged mice showed higher number of peripheral leukocyte inltration post-TBI. Microglia of aged mice showed signicantly higher senescent
markers (BCL-2, p16Ink4a, p21Cip1/Waf1, and H2AX) at baseline and aer CCI, associated with impairment in phagocytosis and higher IL-1β
production (Ritzel etal., 2019).
Mild-repeated TBI (mrTBI) in C57BL/6 mice results in behavioral disinhibition and cognitive impairment. Examination of the brain 1-week
post-TBI reveals upregulation of DNA damage, the cytosolic DNA sensor cGAS/STING, and cellular senescence. ScRNA-seq revealed distinct
neuronal clusters, astrocytes, OPCs, immune cells, and vascular cells showing features of cell cycle arrest, SCAP upregulation, and SASP
signaling. Treating mrTBI mice with navitoclax decreased senescence markers in male mice but not female mice. Navitoclax treatment
improved cognitive performance on the Morris water maze test in male mice (Schwab etal., 2021, 2022).
Cancer survivors
Brain tissues of irradiated cancer patients show an upregulation of p16Ink4a-positive astrocytes compared to age-matched controls and
untreated cancer patients. Irradiated astrocytes in vitro downregulate glutamate transporters and produce IL-6. In human astrocytes, Δ133p53
prevents radiation-induced senescence and ameliorates astrocyte-mediated neuroinammation and neurotoxicity (Turnquist etal., 2019;
Limbad etal., 2020).
Paclitaxel (PTX) induces senescence (SA β-gal) in cebromicrovascular capillary endothelial cells of transgenic p16-3MR mice. PTX treatment-
related senescence is associated with reduced indices of cerebrovascular density, decits in neurovascular coupling responses, greater
transcellular permeability between cerebromicrovascular endothelial cells, and signicant impairments in cognitive function and spatial
memory. Ganciclovir-or ABT263-mediated clearance of SCs in PTX-treated pmice signicantly improved cognitive function, neurovascular
coupling, and BBB integrity (Ahire etal., 2023).
Obesity
HFD in C57BL/6 mice leads to anxiety-like behavior. Genetic clearance of SCs by AP20187in INK-ATTAC or dasatinib + quercetin in leptin
receptor-decient obese mice both reduced anxiety-like behavior. SCs accumulated in the amygdala and hypothalamus (but not in the cortex
or hippocampus), which was signicantly decreased by AP20187. HFD increased accumulation of lipid droplets in senescent astrocytes and
microglia in periventricular regions, skewing them toward inammation with higher CXCL1 and IL-6 production. Obese mice displayed
signicant reductions in the numbers of NSCs, immature neurons, and CD133+ ependymal cells in the lateral SVZ, indicating impaired
neurogenesis. AP20187 signicantly increased stem cell and astrocyte numbers in the SVZ, indicating increased neuronal plasticity post-
treatment (Ogrodnik etal., 2019).
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 12 frontiersin.org
Mechanistically, obesity accelerates numerous biological aging
processes, including inammaging, oxidative stress, telomere attrition,
epigenetic alterations, mitochondrial dysfunction, and cellular
senescence (Nunan et al., 2022). A higher SC burden has been
observed in adipose tissue in obesity, aecting preadipocytes,
adipocytes, endothelial cells, and adipose tissue-resident macrophages
(Smith etal., 2021). Furthermore, SCs accumulate in the kidneys of
HFD-obese mice, which is associated with renal dysfunction (Kim
etal., 2019). e livers of obese mice also display a higher SC burden,
linked to hepatic steatosis and non-alcoholic fatty liver disease
(Aravinthan etal., 2013; Ogrodnik etal., 2017).
However, evidence directly implicating senescence as a
mechanism of obesity-related brain aging is currently limited.
Ogrodnik etal. (2019) documented senescence in glial cells in the
amygdala and hypothalamus in obese INK-ATTAC transgenic mice
and leptin receptor-decient obese mice, linked to anxiety-like
behavior. Depleting SCs in obese INK-ATTAC transgenic mice
decreased SC burden in the amygdala and hypothalamus and relieved
anxiety-related behaviors. Obesity also leads to a decrease in the
population of NSCs in the SVZ, which could bepartially recovered by
AP20187 treatment in INK-ATTAC mice (Ogrodnik et al., 2019).
ese results indicate that obesity-related senescence preferentially
aects areas of the brain responsible for anxiety and fear like the
amygdala, but not the hippocampus, which is responsible for learning
and memory. Modulation of senescence may therefore hold
therapeutic value in treating neuropsychiatric disorders in
obese individuals.
Obstructive sleep apnea
OSA is an increasingly prevalent sleep breathing disorder that
results in apnea or hypopnea due to episodic partial or complete
airway obstruction during sleep. Common symptoms of OSA include
loud snoring, gasping, or choking during sleep, nighttime awakenings,
daytime sleepiness, and fatigue (Young et al., 2004; Madani and
Madani, 2009; Rundo, 2019). OSA patients, particularly those with
moderate-to-severe disease, face an increased risk of cognitive
impairment compared to age-matched healthy controls (Torelli etal.,
2011). OSA patients also tend to develop chronic diseases earlier than
healthy controls, including cardiovascular disease, metabolic
disorders, cancer, and neurodegeneration (Veasey and Rosen, 2019).
Biologically, OSA is independently linked to higher burdens of
oxidative stress and inammaging (Lavie, 2015; Liberale and Camici,
2020), prompting consideration of OSA as an accelerated aging
phenotype (Gaspar etal., 2017).
OSA leads to chronic intermittent hypoxia (CIH) and sleep
fragmentation (Gaspar etal., 2017). Sleep disturbance in OSA has
been shown to accelerate telomere attrition, leading to replicative
senescence (Tempaku etal., 2015; Turkiewicz etal., 2021). Exosomes
derived from the blood of OSA patients can induce endothelial cell
senescence and vascular dysfunction, which is partially reversible with
continuous positive airway pressure (CPAP) therapy (Khalyfa etal.,
2020). CIH has recently been demonstrated to induce senescence in
multiple tissues, including preadipocytes, kidneys, vasculature, and
heart (Polonis etal., 2020; Badran etal., 2021; Wei etal., 2022). In the
brain, CIH increases markers of oxidative stress, DNA damage, and
inammation in several regions associated with early-stage AD and
PD (the entorhinal cortex and substantia nigra, respectively). While
this study did not evaluate markers of senescence, such an
environment is known to induce senescence (Martínez-Cué and
Rueda, 2020). However, no study so far has directly investigated the
role of senescence in OSA-related brain changes.
Chronic kidney disease
CKD aects about 15% of US adults and incurs signicant
morbidity, mortality, and health expenditures (Hoerger etal., 2015;
Kovesdy, 2022). Chiu etal. (2019) demonstrated that non-demented
end-stage kidney disease patients receiving dialysis exhibit structural
and cognitive changes associated with normal aging. CKD patients are
also susceptible to systemic early aging-related conditions, including
osteoporosis and pathologic fractures (Pimentel etal., 2017; Hsu etal.,
2020), hypogonadism (Skiba etal., 2020), impaired wound healing
(Maroz and Simman, 2013), insulin resistance (Spoto etal., 2016),
cardiovascular disease (Jankowski et al., 2021), cerebrovascular
disease (Vanent etal., 2022), cognitive impairment (Etgen etal., 2012),
immunosenescence (Crépin etal., 2020), and sarcopenia (Stenvinkel
and Larsson, 2013).
Mouse models of CKD exhibit increased microglial activation,
which correlates with incidence of cerebral microhemorrhages (Fang
etal., 2023). Uremic toxins that accumulate in CKD, such as indoxyl
sulfate, p-cresyl sulfate, trimethylamine-N-oxide (TMAO), and urea,
increase BBB permeability (Lau etal., 2020; Fang etal., 2023). ese
changes—BBB leakiness, microglial activation, and
neuroinammation—are also observed in the aged brain (Sierra etal.,
2007; Koellhoer etal., 2017; Marschallinger etal., 2020; Paul etal.,
2021; Connolly et al., 2022; Iwao et al., 2023). us, CKD may
precipitate a premature aging phenotype by accelerating fundamental
aging processes (Huang etal., 2022; Arabi etal., 2023).
Cellular senescence in CKD involves multiple mechanisms.
Hyperphosphatemia induces senescence in endothelial cells,
myoblasts, and vascular smooth muscle cells, contributing to vascular
aging (Troyano etal., 2015; Yamada etal., 2015; Sosa etal., 2018; Liu
etal., 2021). Uremic toxins in the bloodstream of CKD patients can
induce senescence by imposing oxidative stress and consequent DNA
damage (Vaziri, 2004; Han etal., 2018; Lee etal., 2018). For example,
indoxyl sulfate and TMAO promote ROS-dependent senescence in
the aorta, associated with endothelial dysfunction, vascular
calcication, and wall stiening—all indicators of vascular aging (Ke
etal., 2018; Brunt etal., 2020, 2021; Lau etal., 2020). Indoxyl sulfate
also induces senescence in CD34+ hematopoietic stem cells and curbs
their dierentiation into mature erythrocytes, possibly contributing
to the normocytic normochromic anemia observed in CKD patients
(Duangchan et al., 2022). P-cresyl sulfate promotes senescence
features—ROS production, DDR, and proinammatory SASP—in
mouse adipocytes, promoting adipose tissue inammation and insulin
resistance (Koppe etal., 2013; Tanaka etal., 2020).
In the brain, indoxyl sulfate activates the aryl hydrocarbon
receptor (AhR) on astrocytes and microglia, increasing oxidative
stress and neuroinammation and accelerating cognitive impairment
(Adesso etal., 2017, 2018; Bobot et al., 2020). TMAO-dependent
astrocyte reactivity is implicated in aging-related cognitive decline
(Clarke etal., 2018; Csipo etal., 2020; Brunt etal., 2021). TMAO has
been shown to induce senescence in hippocampal neurons, decreasing
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Frontiers in Aging Neuroscience 13 frontiersin.org
their expression of synaptic plasticity-related proteins (Li etal., 2018).
DMB, which is an enzyme that decreases TMAO levels, mitigates
cognitive decline in mouse models of accelerated cellular senescence
(Lanz etal., 2022), potentially reecting a reduction in SC burden in
the brain of treated mice.
The future of senotherapies
e remarkable evolution of senolytics and senomorphics from
bench to bedside has resulted in much hype surrounding these drugs
as so-called anti-aging agents. However, several unanswered questions
must rst beaddressed to eectively translate these agents into clinical
practice (Shafqat etal., 2022). Firstly, senescence induction plays
essential roles in wound healing, embryogenesis, and tumor
suppression, underscoring the importance of delineating potential
contraindications. Secondly, the long-term eects of removing or
altering SCs are unknown. In the context of brain aging, it is crucial
to consider the possible long-term consequences on CNS function of
depleting senescent neurons incapable of renewal. ere is also no
agreed-upon senescence biomarker, a composite score of markers, or
a way to gauge the eectiveness of senolytics or senomorphics in
humans other than observable phenotypic/functional improvement.
Lastly, as of 2023, most data on senolytics and senomorphics come
from preclinical animal studies. Data from ongoing clinical trials
studying these drugs in larger and longer cohorts will provide more
information on the ecacy and, more importantly, the safety of
these medications.
Other senescence-targeting strategies, such as immune-direct
strategies and hyperbaric oxygen therapy (HBOT) are currently under
study and may provide an alternative to the SCAP-targeting senolytics
or SASP-targeting senomorphics. Gene therapy and epigenetic
reprogramming may also befeasible approaches to combat cellular
senescence in aging and have been recently reviewed (Zhang etal.,
2020; Wang etal., 2022; Yu etal., 2023).
Immune-mediated SC clearance
'Senescence surveillance’ was introduced by Kang and colleagues
when they observed that senescent pre-malignant hepatocytes
secreted a SASP that recruited CD4+ T-cells, which cleared these SCs
(Kang etal., 2011). Mechanistically, macrophages can upregulate class
IMHC and antigen-processing machinery in senescent tumor cells,
facilitating their recognition by CD8+ T-cells (Reimann etal., 2021;
Sturmlechner etal., 2021; Chen etal., 2023; Marin etal., 2023). SCs
also transfer antigenic peptides to dendritic cells, which, in turn,
activate CD4+ T-cells (Chandra etal., 2012; Prata etal., 2018). e SC
peptidome is signicantly dierent from their parental non-senescent
cells and can act as a target for cell-mediated (T-cell) and humoral
(B-cell) immune responses (Frescas etal., 2017; Suda etal., 2021). One
such protein termed a ‘seno-antigen’, glycoprotein nonmetastatic
melanoma protein B (GPNMB), was formulated into a senolytic
vaccine and injected into progeroid mice, eectively reducing SC
burden, alleviating pathological eects of obesity and atherosclerosis,
and extending lifespan (Suda etal., 2021). Amor et al. developed
chimeric antigen receptor (CAR) T cells targeting urokinase-type
plasminogen activator receptor to deplete SCs in mouse models of
lung cancer and hepatic brosis (Amor et al., 2020). Given this
apparent immunogenicity of SCs, it is curious why SCs accumulate in
aged tissues and are not cleared by the immune system. An aging
functionally declining immune system may not beas eective in
clearing SCs (Prata etal., 2018), or SCs may upregulate certain surface
proteins like PD-L1, which allow them to evade immune surveillance
(Onorati et al., 2022; Wang et al., 2022). How immune-directed
senolytic strategies can berepurposed to target SCs in the brain is
unchartered territory.
Hyperbaric oxygen therapy
Hyperbaric oxygen therapy (HBOT) involves breathing pure
oxygen at a heightened atmospheric pressure to increase partial
pressure of oxygen in the bloodstream and improve oxygen delivery
to tissues. Oxygen has a dual relationship with aging (Hopf etal.,
2005; de Wolde etal., 2022; Fu etal., 2022). It is the source of ROS
that induce lipid peroxidation, DNA damage, and protein
dysfunction. However, repeated exposures to high oxygen pressures,
such as in HBOT, can augment antioxidant responses and
angiogenesis and reduce inammation (Hopf etal., 2005; de Wolde
etal., 2022; Fu etal., 2022). ese eects of HBOT are evident in
tissue rejuvenation strategies, such as ischemic wound healing and
recovery aer muscle injury, where it decreases inammation and
apoptosis to promote healing (Zhang and Gould, 2014; Oyaizu
etal., 2018).
As a senescence-alleviating treatment modality, HBOT can reduce
the number of SA-β gal-positive cardiomyocytes in aging pre-diabetic
rats (Bo-Htay etal., 2021). A prospective clinical trial with a cohort of
70 healthy participants (mean age = 68.07 years) receiving HBOT for
3 months reported a signicant increase in collagen density, elastic
ber length, and vascularity in serial skin biopsies in treated
individuals (Hachmo etal., 2021). Tissue SCs were also signicantly
decreased in the treated group, indicated by reduced lipofuscin
expression (Hachmo etal., 2021). Other studies have documented a
decrease in the levels of cytokines, chemokines, and MMPs aer
HBOT in the context of aging, indicating that this therapeutic
modality can attenuate SASP production (De Wolde etal., 2021; Fu
etal., 2022). Telomere elongation appears to beone of the primary
mechanisms by which HBOT attenuates cellular senescence (i.e.,
replicative senescence). A study on deep sea divers and a prospective
clinical trial of 35 old adults (>65 years old) receiving HBOT both
documented signicantly increased telomere length in peripheral
blood mononuclear cells aer the treatment (Shlush et al., 2011;
Hachmo etal., 2020).
HBOT has also been applied to the context of cognitive decline. Chen
and colleagues intraperitoneally injected -galactose into mice to mimic
age-related cognitive impairment and simultaneously administered
HBOT, which signicantly reversed -galactose-induced learning and
memory impairment and decreased p16
Ink4a
, p21
Cip1/Waf1
, and p53
expression in the hippocampus (Chen etal., 2016). Similarly, HBOT
restores cognitive function in -galactose and obese aged rats, associated
with a decrease in SA-β-gal positive cells in the hippocampus (Shwe etal.,
2021). HBOT also improves the cognitive function of TBI survivors
(Biggs et al., 2021; Chen et al., 2022; Harch, 2022), at least partly
Shafqat et al. 10.3389/fnagi.2023.1281581
Frontiers in Aging Neuroscience 14 frontiersin.org
underpinned by reduced neuroinammation and MMP production,
which may reect an attenuated SASP (Vlodavsky etal., 2006).
Conclusion and outlook
Emerging research underscores the critical involvement of cellular
senescence in the process of brain aging. ere is also mounting
evidence from animal models that cellular senescence plays a
signicant role in the pathogenesis of premature brain aging.
Cancer survivors who have received chemotherapy or
radiotherapy—a population which is increasing annually as well as
getting older—are at an ever-increasing risk of morbidity related to
cognitive decline. erefore, increasing their representation in
senotherapeutic clinical trials will be crucial. However, despite
encouraging safety and tolerability results in phase 1 clinical trials,
their ecacy in a host of chronic diseases must beevaluated before
testing these drugs in frail and vulnerable populations like
cancer survivors.
From a mechanistic viewpoint, weare still confronted with several
gaps in our understanding. e upstream biological cues that regulate
senescence of the aging brain, for instance, require further study.
Secondly, to address why individual brains age at dierent rates,
studies must directly investigate genetic and epigenetic regulation of
senescence in the brain and its relationship to aging and cognition.
irdly, understanding the specic mechanisms through which
senescent brain cells contribute to neuropathology is still in its initial
stages. Current strategies for modulating SCs in mouse models are
systemic and lack specicity; to illustrate this, using AP20187in
INK-ATTAC transgenic mice systemically depletes all p16
Ink4a
-
expressing cells, but not all cells expressing p16Ink4a are senescent and
not all p16Ink4a -positive SCs are present in the brain. e question of
whether the observed improvements in cognitive function and
neuroinammation aer genetic or senolytic-mediated SC elimination
in mice can beattributed to a reduction in senescent brain cells as
opposed to peripheral eects is a critical distinction. Ogrodnik etal.
(2019) addressed this issue by transplanting SCs peripherally in mice
and evaluating whether this recapitulated senescence-related anxiety-
like behaviors in obese mice. ey also evaluated whether inhibiting
circulating SASP factors implicated in neuropathology and depleting
SCs in the brain achieve similar therapeutic benets with respect to
neurobehavioral outcomes. Nevertheless, experiments utilizing
transgenic mice that allow selective depletion of SCs in the brain
would berequired to causally link senescence in specic brain cells to
aging-related brain changes and better comprehend the
neuroinammatory dynamics in the aging brain.
Future research focusing on this pivotal area has the potential to
uncover transformative therapeutic targets and strategies for
alleviating brain aging. In doing so, wecould dramatically lessen the
substantial impact on patients, healthcare systems, and society at large.
Author contributions
AS: Conceptualization, Writing – original dra, Writing – review
& editing. SK: Writing – original dra. MO: Writing – original dra,
Writing – review & editing. MN: Writing – original dra. IA: Writing
– original dra, Writing – review & editing. KA: Writing – review &
editing. AY: Writing – review & editing. TT: Writing – review &
editing, Supervision. JK: Writing – review & editing, Supervision. SH:
Conceptualization, Writing – review & editing.
Funding
e author(s) declare that no nancial support was received for
the research, authorship, and/or publication of this article.
Acknowledgments
Figures were created using BioRender.com. Part of Figure2 was
adapted from “Endothelial Junctions in the Blood Brain barrier”
template and “Adult neurogenesis in the dentate gyrus” template by
Alessia Caramello” by BioRender.com (2023). Retrieved from https://
app.biorender.com/biorender-templates/gures.
Conflict of interest
TT and JK have a nancial interest related to this research,
including patents and pending patients covering senolytic drugs and
their uses that are held by Mayo Clinic. SH received Honoraria from
Pzer, Novartis, Janssen, erakos Mallinckrodt, and Sanoand Roche.
e remaining authors declare that the research was conducted in
the absence of any commercial or nancial relationships that could
beconstrued as a potential conict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their aliated organizations,
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