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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging</journal-id>
<journal-title>Frontiers in Aging</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging</abbrev-journal-title>
<issn pub-type="epub">2673-6217</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1500741</article-id>
<article-id pub-id-type="doi">10.3389/fragi.2024.1500741</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cellular senescence in acute human infectious disease: a systematic review</article-title>
<alt-title alt-title-type="left-running-head">Miller et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fragi.2024.1500741">10.3389/fragi.2024.1500741</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Miller</surname>
<given-names>William C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2847691/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Wallace</surname>
<given-names>Stephanie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kamm</surname>
<given-names>William</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2884325/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Reardon</surname>
<given-names>Erin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Theis-Mahon</surname>
<given-names>Nicole</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2884180/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Yousefzadeh</surname>
<given-names>Matthew J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Schmidt</surname>
<given-names>Elizabeth L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1591100/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Niedernhofer</surname>
<given-names>Laura J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Puskarich</surname>
<given-names>Michael A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>University of Minnesota Medical School</institution>, <addr-line>Minneapolis</addr-line>, <addr-line>MN</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Emergency Medicine</institution>, <institution>University of Minnesota and Hennepin Healthcare</institution>, <addr-line>Minneapolis</addr-line>, <addr-line>MN</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Woodruff Health Sciences Center Library</institution>, <institution>Emory University</institution>, <addr-line>Atlanta</addr-line>, <addr-line>GA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Health Sciences Library</institution>, <institution>University of Minnesota</institution>, <addr-line>Minneapolis</addr-line>, <addr-line>MN</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Medicine</institution>, <institution>Columbia Center for Healthy Longevity</institution>, <institution>Columbia Center for Translation Immunology</institution>, <institution>Columbia University Medical Center</institution>, <addr-line>New York</addr-line>, <addr-line>NY</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Institute on the Biology of Aging and Metabolism</institution>, <institution>University of Minnesota</institution>, <addr-line>Minneapolis</addr-line>, <addr-line>MN</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1973148/overview">Yie Liu</ext-link>, National Institute on Aging (NIH), United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2597048/overview">Mandi Stock</ext-link>, Oklahoma Medical Research Foundation, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2859930/overview">Chongkui Sun</ext-link>, Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Michael A. Puskarich, <email>mike.puskarich@hcmed.org</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>5</volume>
<elocation-id>1500741</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Miller, Wallace, Kamm, Reardon, Theis-Mahon, Yousefzadeh, Schmidt, Niedernhofer and Puskarich.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Miller, Wallace, Kamm, Reardon, Theis-Mahon, Yousefzadeh, Schmidt, Niedernhofer and Puskarich</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>
<italic>Acute infectious disease represents a significant cause of mortality and morbidity in elderly individuals admitted to the hospital. In its extreme, it presents as sepsis, a systematic inflammatory and immunologic response responsible for self-injurious organ injury. As individuals age, a unique set of factors including immunosenescence predispose them to acquiring an infection and a worse clinical prognosis.</italic> This systematic review explores the relationship between cellular senescence, an age-related inflammatory phenomenon, with acute human infectious disease.</p>
</sec>
<sec>
<title>Methods</title>
<p>Embase via OVID, Scopus, Web of Science, Global Index Medicus, Cochrane Library via Wiley, and ClinicalTrials.gov were queried. Included studies must have compared at least one of the following measures of cellular senescence between patients with an infection and without an infection: cell cycle inhibition measured via levels of <italic>p16</italic>
<sup>
<italic>INK4a</italic>
</sup> and/or <italic>p21</italic>
<sup>
<italic>CIP1</italic>
</sup>, short telomere length, DNA damage via &#x263;H2AX, high senescence-associated &#x3b2; galactosidase activity, and inflammation via the detection of senescence associated secretory phenotype (SASP). Manuscripts were screened and data collected via two independent reviewers.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 15,828 studies were screened after duplicates were removed. One hundred and fifty-three full-text articles were assessed for eligibility and a total of 16 original articles were included in analysis. Of the 16 original articles included, 12 (75%) articles were centered on SARS-CoV-2, 2 (12.5%) articles utilized patients infected with <italic>Leishmania braziliensis</italic>, 1 (6.25%) with <italic>Plasmodium falciparum</italic>, and 1 (6.25%) with Hepatitis C.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Current literature demonstrates robust upregulation of markers of cellular senescence in the setting of acute SARS-CoV-2, <italic>P. falciparum</italic>, <italic>L. braziliensis</italic>, and hepatitis C virus, and that markers of senescence correlate with disease severity and persist for months after resolution. Limitations in the number and types of infectious organisms studied, low sample sizes, modest longitudinal sampling, and a lack of consistency in markers measured, the method of measurement, and the definition of normal values represent ongoing gaps in the literature.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>
<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421473">https://www.crd.york.ac.uk/prospero/display_record.php&#x3f;RecordID&#x003D;421473</ext-link>, Identifier CRD42023421473.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cellular senescence</kwd>
<kwd>aging</kwd>
<kwd>infectious disease</kwd>
<kwd>frailty</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Senescence</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Acute infectious diseases represent a leading international cause of death, and in its most severe manifestation presents as sepsis. Sepsis is a life-threatening condition with organ dysfunction due to a dysregulated host response to an infection, as defined by the Third International Consensus Definitions for Sepsis and Septic Shock (<xref ref-type="bibr" rid="B32">Singer et al., 2016</xref>). It affects approximately 48 million adults per year worldwide, with 11 million sepsis-related deaths reported (<xref ref-type="bibr" rid="B30">Rudd et al., 2020</xref>). The pathophysiology of sepsis is a complex spatiotemporal connected pathway of innate and adaptive immune system dysfunction leading to an early pro-inflammatory response and eventual immunosuppression leading to end-organ failure (<xref ref-type="bibr" rid="B13">Jarczak et al., 2021</xref>). Despite advances in treatment, sepsis-related hospital mortality continues to approach 50% and represents a significant burden on healthcare spending (<xref ref-type="bibr" rid="B20">Markwart et al., 2020</xref>; <xref ref-type="bibr" rid="B34">van den Berg et al., 2022</xref>). The underlying etiology of a sepsis is broad and includes bacterial, viral, and fungal acute infectious pathogens (<xref ref-type="bibr" rid="B49">Ko&#xe7;ak Tufan et al., 2021</xref>; <xref ref-type="bibr" rid="B40">Lin et al., 2018</xref>).</p>
<p>Uniquely, elderly individuals pose a particularly high risk of developing sepsis as a response to routine acute infectious disease with increased mortality and morbidity (<xref ref-type="bibr" rid="B50">Esme et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Guidet et al., 2018</xref>; <xref ref-type="bibr" rid="B42">Yoshikawa and Norman, 2017</xref>), and make up the majority of individuals hospitalized (<xref ref-type="bibr" rid="B29">Rowe and McKoy, 2017</xref>). It has s been estimated that individuals &#x3e; 60 years old demonstrate a 20% increased risk of developing sepsis (<xref ref-type="bibr" rid="B51">Martin et al., 2006</xref>). As individuals age, cognitive and physical domains diminish in capacity, leading to a state of frailty, predisposing individuals to infections and deleterious downstream morbidity and mortality (<xref ref-type="bibr" rid="B33">Trevisan et al., 2023</xref>). A commonly described driver of human aging that has been described across disease states is the phenomenon of cellular senescence, which may contribute to adverse outcomes in the setting of acute infectious diseases and the subsequent development of sepsis (<xref ref-type="bibr" rid="B52">Nasa et al., 2012</xref>).</p>
<p>Cellular senescence is characterized by a stable exit from the cell cycle with continued secretion of a milieu of pro-inflammatory cytokines and chemokines that, through a paracrine mechanism, induce further cellular senescence of nearby cells (<xref ref-type="bibr" rid="B12">Gorgoulis et al., 2019</xref>). The senescence associated secretory phenotype (SASP) also drives a state of chronic sterile inflammation that when coupled with an infection causes a propensity for cytokine storm and organ damage (<xref ref-type="bibr" rid="B2">Camell et al., 2021</xref>). Characteristically, senescent cells are particularly difficult for the immune system to clear, thus resulting in an accumulation of senescent cells as individuals age (<xref ref-type="bibr" rid="B26">Prata nd Mckoy, 2018</xref>). Beyond local senescent cell accumulation and burden are the deleterious effects of age on an individual&#x2019;s immune function, dubbed immunosenescence, resulting in an increased predilection for infection and decreased or altered response to infection (<xref ref-type="bibr" rid="B11">Fulop et al., 2018</xref>; <xref ref-type="bibr" rid="B2">Camell et al., 2021</xref>).</p>
<p>Senescent cells can be selectively targeted with a new class of drugs &#x201c;senotherapeutics&#x201d; which consists of two classes (<xref ref-type="bibr" rid="B38">Zhang et al., 2023</xref>). Senolytics selectively kill senesecent cells, while senomorphics modulate their proinflammatory secretions (<xref ref-type="bibr" rid="B38">Zhang et al., 2023</xref>). The potential role of cellular senescence and the role of senolytic medications to reduce their burden in the setting of acute infectious diseases has been demonstrated in preclinical models. However, the data in humans is less robust. Given the critical role of the immune system in the pathophysiology of sepsis, there is also a growing understanding that acute infections can increase the senescent cell burden, and how that negatively impacts clinical recovery. Despite this evolving knowledge based, there remains a substantial gap in the literature studying cellular senescence in sepsis. Previous work has sought to describe the mechanistic involvement of senescence in acute infection using <italic>in-vitro</italic> models and suggest a critical role of this effect of aging on sepsis pathophysiology, however a paucity of data in human patients exists (Reyes et al., 2023; <xref ref-type="bibr" rid="B43">Schmitt et al., 2023</xref>; <xref ref-type="bibr" rid="B44">Kelley et al., 2020</xref>). To address this gap, t he goal of this systematic review is to comprehensively summarize the current state of medical literature as it relates to cellular senescence in acute human infections, excluding <italic>in-vitro</italic> models, to serve as a basis for future identifying literature gaps to inform explorations in more severe forms of infections, such as sepsis, more specifically.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<p>The present systematic review was performed in compliance with the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (<xref ref-type="bibr" rid="B25">Open Access Page et al., 2021</xref>) and the study protocol was registered using the International Prospective Register of Systematic Reviews, CRD42023421473. A PRISMA 2020 checklist is available via <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>.</p>
<sec id="s2-1">
<title>Search strategy</title>
<p>The search strategy to identify relevant articles was built by a health sciences librarian and tested for sensitivity in Ovid MEDLINE using medical subject (MeSH) headings, keywords, and synonyms to encompass the concepts of cell senescence and infection. The search was then translated to an additional six databases: Embase via OVID, Scopus, Web of Science, Global Index Medicus, Cochrane Library via Wiley, and ClinicalTrials.gov. Searches were run from the inception of each database through 8 August 2022 and an updated search was run on 13 December 2023. No limitations or search filters were applied. The full Ovid Medline (R) All search strategy can be found in the appendix. A broad search strategy was employed so as to not miss articles with useful data that included, but were not exclusive of, human patients rather than <italic>in-vitro</italic> models.</p>
</sec>
<sec id="s2-2">
<title>Study selection</title>
<p>Search results were imported to Covidence for automatic deduplication and screening (<xref ref-type="bibr" rid="B4">Covidence systematic review software, 2024</xref>). Two investigators (WM and SW) independently reviewed the titles and abstracts of all studies. In cases of disagreement, conflict was resolved by discussion between the two investigators with the help of a third investigator (MP) if needed. Disagreement on abstract screening was resolved prior to accessing the full article. The same two investigators independently reviewed the full text of included studies in Covidence with the same process of conflict resolution.</p>
<p>We included studies reporting original data comparing levels of cellular senescence in human patients diagnosed with an acute infection compared to patients without an infection. Studies exclusively reporting data on animals or plants, including animal cell lines, were excluded. If a study presented data about human patients and animals or plants, including cell lines, it was included for full text review to collect only the data pertaining to human patients. If this was not possible, the study was excluded from full text review. The initial search strategy was made intentionally broad to ensure that articles focused on <italic>in vitro</italic> results, but that included patient biospecimens as an ancillary portion of the manuscript were captured. Reviews discussing the effects of cellular senescence and infection were also included for full text review, where references were searched for any studies reporting original data that fit the inclusion criteria.</p>
<p>Study inclusion criteria were determined prior to literature search and author review/screening. For a study to be included, it must have compared at least one of the following measures of cellular senescence between patients with an infection and without an infection: cell cycle inhibition measured via levels of <italic>p16</italic>
<sup>
<italic>INK4a</italic>
</sup> and/or <italic>p21</italic>
<sup>
<italic>CIP1</italic>
</sup>, short telomere length, DNA damage via &#x263;H2AX, high senescence-associated &#x3b2; galactosidase activity, and inflammation via the detection of SASP. SASP consists not only of pro-inflammatory cytokines, chemokines, but also a heterogeneous mix of growth factors and matrix remodeling enzymes (<xref ref-type="bibr" rid="B3">Copp&#xe9; et al., 2010</xref>). The strength of study was based on the number of senescent cell biomarkers that were measured as none of them are specific to senescent cells. If a study reported telomere length data, it must have also reported another measure of cellular senescence due to the low specificity of telomere length and cellular senescence (<xref ref-type="bibr" rid="B35">Victorelli and Passos, 2017</xref>). In this systematic review, patients must have been in the acute phase of infection, confirmed by a diagnostic test. Chronic infections including but not limited to HIV, hepatitis B and C, and chronic cytomegalovirus were excluded.</p>
<p>The primary outcome measure was the difference in markers of cellular senescence between acutely infected patients and controls. Additional secondary outcome measures included but not limited to the correlation of senescence levels with disease severity, mortality, and healthcare resource utilization, as available.</p>
</sec>
<sec id="s2-3">
<title>Data extraction</title>
<p>One investigator independently extracted data while the second investigator verified data for accuracy and completeness. Data collected included the type of infection studied, how the infection was diagnosed or verified, senescence markers studied, and the levels of senescence measured in patients with acute infection and without. Because numerical values of senescence markers were inconsistently reported across studies, descriptive analyses were extracted. Other variables collected included study type, publication year, and study limitations.</p>
</sec>
<sec id="s2-4">
<title>Statistical analysis</title>
<p>A meta-analysis combining the extracted data to determine overall cellular senescence with each infectious agent could not be performed due to a lack of standardized senescent marker identification (<xref ref-type="bibr" rid="B24">Ogrodnik et al., 2024</xref>). Inter-rater reliability assessed at both title/abstract review and full-text review stages using Cohen&#x2019;s kappa calculated by Covidence (<xref ref-type="bibr" rid="B4">Covidence systematic review software, 2024</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Selection of included studies</title>
<p>
<xref ref-type="fig" rid="F1">Figure 1</xref> provides a detailed flow diagram of study screening and selection. A total of 15,828 studies were screened after duplicates were removed, reflecting the comprehensive search strategy, but emphasizing the observation that most data in the field is based in preclinical and/or <italic>in vitro</italic> models. One hundred and fifty-three full-text articles were assessed for eligibility and a total of 16 original articles were included in analysis. The inter-rater reliability was calculated using Cohen&#x2019;s kappa. For the title/abstract screening it was 0.38 and for the full-text screening it was 0.66.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Study flow diagram for identified, screened, and excluded articles.</p>
</caption>
<graphic xlink:href="fragi-05-1500741-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Included study characteristics</title>
<p>Of the 16 original articles (<xref ref-type="table" rid="T1">Table 1</xref>) included after screening, 12 (75%) articles were centered on SARS-CoV-2 as the primary disease (<xref ref-type="bibr" rid="B10">Froidure et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B7">Evangelou et al., 2021</xref>; <xref ref-type="bibr" rid="B8">2022</xref>; <xref ref-type="bibr" rid="B14">Lee et al., 2021</xref>; <xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B37">2023</xref>; <xref ref-type="bibr" rid="B15">Lekva et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref>; <xref ref-type="bibr" rid="B23">Nguyen et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Roh et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Lin et al., 2023</xref>). Two (12.5%) articles utilized patients infected with <italic>Leishmania braziliensis</italic>, 1 (6.25%) with <italic>Plasmodium falciparum</italic>, and 1 (6.25%) with Hepatitis C (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>; <xref ref-type="bibr" rid="B5">Covre et al., 2019</xref>; <xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Mart&#xed;n-Escolano et al., 2023</xref>). A total of 1239 patients were included across all studies. Of those patients, 443 (35.8%) patients had a diagnosis of an acute infection and 710 (57.3%) were included as controls. The remaining 86 (6.9%) individuals were not identified as infected or a control specifically. Generally, controls were defined as individuals with similar comorbidities without acute infection. A total of 11 (68.8%) studies clearly defined age-matching controls to experimental groups. The gender distribution was provided in 13 (81.25%) articles, and average/median age was provided in 13 (81.25%) articles (<xref ref-type="table" rid="T1">Table 1</xref>). Studies typically reported a difference in measured senescence markers between infected patients and controls. In a subset of included studies, the severity of disease or relative disease load was also reported (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of studies included in the analysis with their infectious disease of interest, number of subjects and controls, and measured senescence markers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Pathogen</th>
<th align="left">Participants (n)</th>
<th align="left">Healthy controls (n)</th>
<th align="left">Senescence markers</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B8">Evangelou et al. (2022)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">11</td>
<td align="right">43</td>
<td align="left">p16<sup>INK4a</sup>, &#x263;H2AX, SASP, SenTraGor&#x2122;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B10">Froidure et al. (2020)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">70</td>
<td align="right">491</td>
<td align="left">SA-&#x3b2;-gal, Telomere length</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B14">Lee et al. (2021)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">24</td>
<td align="right">5</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, H3K9me3, SASP, Lipofuscin</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B15">Lekva et al. (2022)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">97</td>
<td align="right">22</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, SA-&#x3b2;-gal, Telomerase activity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">Lin et al. (2023)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">24</td>
<td align="right">12</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">9</td>
<td align="right">2</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B23">Nguyen et al. (2022)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
<sup>,</sup>
<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">28</td>
<td align="right">8</td>
<td align="left">SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B7">Evangelou et al. (2021)</xref> <xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">10</td>
<td align="right">10</td>
<td align="left">P16, SASP, SenTraGor&#x2122;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B28">Roh et al. (2022)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">54</td>
<td align="right">26</td>
<td align="left">SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B36">Wang et al. (2021)</xref> <xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">5</td>
<td align="right">4</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, p53, SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B37">Wang et al. (2023)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="right">3</td>
<td align="right">3</td>
<td align="left">mTOR, MAPK, p53 pathways</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B39">Zheng et al. (2020)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
<sup>,</sup>
<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">SARS-CoV-2</td>
<td align="left">Cohort 1: 56<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> Cohort 2: 8 Cohort 3: 22</td>
<td align="left"/>
<td align="left">SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B9">Fantecelle et al. (2021)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">
<italic>Leishmania Braziliensis</italic>
</td>
<td align="right">21</td>
<td align="right">7</td>
<td align="left">p16<sup>INK4a</sup>, p21<sup>CIP1</sup>, p38, ATM, SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B5">Covre et al. (2019)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">
<italic>Leishmania Braziliensis</italic>
</td>
<td align="right">17</td>
<td align="right">15</td>
<td align="left">&#x263;H2AX, SASP, Telomere length</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B1">Asghar et al. (2018)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">
<italic>Plasmodium Falciparum</italic>
</td>
<td align="right">38</td>
<td align="right">38</td>
<td align="left">p16<sup>INK4a</sup>, Telomere length, Telomerase activity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B21">Martin-Escolano et al. (2023)</xref> <xref ref-type="table-fn" rid="Tfn2">
<sup>b,c</sup>
</xref>
</td>
<td align="left">Hepatitis C</td>
<td align="right">32</td>
<td align="right">24</td>
<td align="left">SASP, Immune checkpoint biomarkers</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Cohort one consisted of young healthy adults (20&#x2013;45&#xa0;years old) and aged healthy adults (&#x2265;60&#xa0;years old); Cohort 2 consisted of young health adults (30&#x2013;45&#xa0;years old), aged healthy adults (&#x2265;60&#xa0;years old), young SARS-CoV-2 (30&#x2013;50&#xa0;years old), and aged SARS-CoV-2 (&#x2265;70&#xa0;years old); Cohort 3 consisted of young health adults (30&#x2013;45&#xa0;years old), aged healthy adults (&#x2265;60&#xa0;years old), young recovered SARS-CoV-2 (30&#x2013;50&#xa0;years old), and aged recovered SARS-CoV-2 (&#x2265;70&#xa0;years old).</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Denotes studies clarifying gender distribution.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>c</sup>
</label>
<p>Deontes studies clarifying age-matched controls.</p>
</fn>
<fn>
<p>Abbreviations: p16<sup>INK4a</sup> (cyclin dependent kinase inhibitor 2A); p21<sup>CIP1</sup> (cyclin dependent kinase inhibitor 1); SASP (Senescence associated secretory phenotype); SenTraGor&#x2122; (Antibody enhanced detection of senescent cells); yH2AX (gamma H2A histone family member X), SA-&#x3b2;&#x2212;gal (Senescence associated beta-galactosidase activity); H3K9me3 (Histone H3 Lysine 9 trimethylation); GDF15 (Growth differentiation factor 15); F3 (Coagulation factor III); mTOR (mammalian target of rapamycin); MAPK (mitogen activated protein kinase); p53 (Tumor protein P53); p38 (mitogen activated protein kinase 14); ATM (ataxia telangiectasia mutated).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Viral etiologies</title>
<sec id="s3-3-1">
<title>SARS-CoV-2</title>
<p>The majority of included articles analyzed markers of cellular senescence in SARS-CoV-2 or COVID-19 (n &#x3d; 12). A total of 9 (75%) COVID-19 articles measured cell cycle inhibitors including p16, p21, and p53. Of the 12 articles, 9 (75%) included some measure of senescence associated secretory phenotype (SASP), 3 (25%) included a quantification of lipofuscin, and 2 (16.7%) measured telomere length/telomerase activity. A total of 12 (100%) of COVID-19 articles found an association between acute COVID-19 infection and an increased burden of cellular senescence (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of findings from studies included in the analysis specifically investigating SARS-CoV-2.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Senescence markers</th>
<th align="left">Sample type</th>
<th align="left">Primary findings</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B8">Evangelou et al. (2022)</xref>
</td>
<td align="left">p16, yH2AX, SASP, SenTraGor</td>
<td align="left">AT2 Lung Cells</td>
<td align="left">&#x2191;p16, &#x2191;SenTraGor positivity, and &#x2191;SASP (<italic>p</italic> &#x3c; 0.0001)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B10">Froidure et al. (2020)</xref>
</td>
<td align="left">SA-&#x3b2;&#x2212;gal, Telomere length</td>
<td align="left">Leukocytes</td>
<td align="left">Shorter telomeres than controls (<italic>p</italic> &#x3c; 0.001) and &#x2191;SA- &#x3b2;&#x2212;gal positivity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B14">Lee et al. (2021)</xref>
</td>
<td align="left">p16, p21, H3K9me3, SASP, Lipofuscin</td>
<td align="left">Airway Mucosa; macrophages</td>
<td align="left">&#x2191;p16, &#x2191;p21, &#x2191;H3K9me3, &#x2191; lipofuscin, and &#x2191;IL8</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B15">Lekva et al. (2022)</xref>
</td>
<td align="left">p16, p21, SA- &#x3b2;&#x2212;gal, telomere-associated SASP</td>
<td align="left">Plasma</td>
<td align="left">&#x2191;p16 and telomere-associated SASP but normal p21 and SA- &#x3b2;&#x2212;gal 3 months after hospitalization (<italic>p</italic> &#x3c; 0.05)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">Lin et al. (2023)</xref>
</td>
<td align="left">p16, p21, SASP</td>
<td align="left">PBMC</td>
<td align="left">p21 (<italic>p</italic> &#x3c; 0.05) correlated with disease severity and SenMayo SASP gene-set was upregulated</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B18">Lipskaia et al. (2022)</xref>
</td>
<td align="left">p16, p21, SASP, GDF15</td>
<td align="left">Epithelial ciliated; club cells</td>
<td align="left">&#x2191;p16, &#x2191;p21, &#x2191;uPAR, &#x2191;CXCL8, &#x2191;IGFBP3, and &#x2191;GDF15 (<italic>p</italic> &#x3c; 0.0001)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B23">Nguyen et al. (2022)</xref>
</td>
<td align="left">SASP, F3</td>
<td align="left">Macrophages; Epithelial cells</td>
<td align="left">Macrophages had moderate levels of SASP. Epithelial cells displayed &#x2191;SASP in SARS-CoV-2 patients with increased expression of F3 in severe cases (<italic>p</italic> &#x3c; 0.05)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B7">Evangelou et al. (2021)</xref>
</td>
<td align="left">p16, SASP, SenTraGor</td>
<td align="left">AT2 Lung Cells</td>
<td align="left">Greater reactivity to SenTraGor, &#x2191;p16 immunostaining, and co-expression of IL-1&#x3b2; and IL-6</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B28">Roh et al. (2022)</xref>
</td>
<td align="left">SASP</td>
<td align="left">Plasma</td>
<td align="left">&#x2191;SASP expression with cardiac involvement of SARS-CoV-2 (<italic>p</italic> &#x3c; 0.05)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B36">Wang et al. (2021)</xref>
</td>
<td align="left">p16, p21, p53, SASP</td>
<td align="left">Lung Tissue</td>
<td align="left">&#x2191;p16, &#x2191;p21, &#x2191;IL-6, &#x2191;p53, and &#x2191;SASP</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B37">Wang et al. (2023)</xref>
</td>
<td align="left">mTOR, MAPK, p53 pathways</td>
<td align="left">Testicular Tissue</td>
<td align="left">Senescence mediated by MAPK (<italic>r</italic> &#x3d; 0.999, <italic>p</italic> &#x3c; 0.001), mTOR, and p53 signaling is positively correlated with SARS-CoV-2 disease in testes</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B39">Zheng et al. (2020)</xref>
</td>
<td align="left">SASP</td>
<td align="left">Peripheral T-Cells; monocytes</td>
<td align="left">&#x2191;SASP hallmark genes (<italic>CDKN</italic> family)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3-2">
<title>Hepatitis C</title>
<p>Mart&#xed;n-Escolano et al. described the correlation of acute Hepatitis C Virus (HCV) infection and increased senescent cell burden (<xref ref-type="table" rid="T3">Table 3</xref>). The SASP and immune checkpoint signaling molecules were correlated to spontaneously cleared HCV infection compared to individuals without evidence of infection. They demonstrated an increase in 13 immune checkpoint signaling molecules and 13 SASP proteins in the HCV spontaneous clearance group, measured approximately 2&#xa0;years post-infection clearance.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of findings from studies included in the analysis investigating <italic>Leishmania braziliensis</italic>, <italic>Plasmodium falciparum</italic>, or hepatitis C.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Disease</th>
<th align="left">Senescence markers</th>
<th align="left">Sample type</th>
<th align="left">Primary findings</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B1">Asghar et al. (2018)</xref>
</td>
<td align="left">
<italic>P. falciparum</italic>
</td>
<td align="left">p16, Telomere length, Telomerase activity</td>
<td align="left">Whole Blood</td>
<td align="left">&#x2191;p16, &#x2193;telomerase activity, and telomere shortening (<italic>p</italic> &#x3c; 0.05). Over time telomerase activity increases and telomere length is gradually restored</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B5">Covre et al. (2019)</xref>
</td>
<td align="left">
<italic>L. braziliensis</italic>
</td>
<td align="left">&#x3b3;H2AX, Telomere length, Telomerase activity, CD57</td>
<td align="left">CD8 T Cells</td>
<td align="left">&#x2191;expression of SASP markers including CD57, KLRG1, p38, and &#x3b3;H2AX (<italic>p</italic> &#x3c; 0.001), &#x2193;telomeres (<italic>p</italic> &#x3c; 0.0001) and &#x2193;telomerase expression (<italic>p</italic> &#x3c; 0.001)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B9">Fantecelle et al. (2021)</xref>
</td>
<td align="left">
<italic>L. braziliensis</italic>
</td>
<td align="left">p16, p21, p38, ATM, Sestrin 2</td>
<td align="left">Skin</td>
<td align="left">&#x2191;p16, p21, p38, ATM, and Sestrin 2 (<italic>p</italic> &#x3c; 0.0001); positively correlated with lesion size and parasitic load and independent of patient age</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B21">Mart&#xed;n-Escolano et al. (2023)</xref>
</td>
<td align="left">Hepatitis C</td>
<td align="left">SASP, immune checkpoint biomarkers</td>
<td align="left">Plasma</td>
<td align="left">&#x2191;SASP and immune checkpoint biomarkers more than 2 years after infection (<italic>p</italic> &#x3c; 0.05)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3-4">
<title>Protozoal etiologies</title>
<sec id="s3-4-1">
<title>Leishmania Braziliensis</title>
<p>Of the 16 total included studies, 2 (12.5%) analyzed acute <italic>Leishmania Braziliensis</italic> infection (<xref ref-type="table" rid="T3">Table 3</xref>). Covre et al. correlated telomere length, SASP, and DNA damage marker &#x263;H2AX to acute infection. They detailed the accumulation of senescent circulating T cells with homing to the skin associated via increased circulating SASP in the acute infectious phase. Fantacelle et al. analyzed the cell cycle inhibitors p16<sup>INK4a</sup> and p21<sup>CIP1</sup>, the MAP kinase-activating p38, and SASP. This work built upon the aforementioned study by Covre et al., detailing accumulating senescent burden in CD8<sup>&#x2b;</sup> effector memory, T<sub>EMRA</sub> (terminal effector memory T cells), and NK cells localized to cutaneous infection.</p>
</sec>
<sec id="s3-4-2">
<title>Plasmodium falciparum</title>
<p>The article by Asghar et al. analyzed acute <italic>P. falciparum</italic> infection and cellular senescence (<xref ref-type="table" rid="T3">Table 3</xref>). This longitudinal study specifically measured the expression of the cell cycle inhibitor p16<sup>INK4a</sup>, telomerase activity, and telomere length in infected individuals in the acute infectious phase and 12 months post infection. There was a demonstrable increase in <italic>p16</italic> <sup>
<italic>INK4a</italic>
</sup> (<italic>CDKN2A)</italic> expression, reduced telomerase activity, and telomere shortening during the acute infectious phase when pairwise compared to the healthy individual at 12-month post infection.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this systematic review, we identified a relative paucity of human studies examining the effect of acute infectious diseases on cellular senescence. However, in all four of the conditions studied, patients with acute infection demonstrated higher senescent cell markers than controls. Senescence markers were amplified in serum, infected tissue, and peripheral immune cells, including T cells, monocytes, and macrophages (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>; <xref ref-type="bibr" rid="B5">Covre et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B7">Evangelou et al., 2021</xref>; <xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>; <xref ref-type="bibr" rid="B14">Lee et al., 2021</xref>; <xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref>; <xref ref-type="bibr" rid="B23">Nguyen et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Roh et al., 2022</xref>; <xref ref-type="bibr" rid="B21">Mart&#xed;n-Escolano et al., 2023</xref>). A large number of manuscripts were screened for inclusion, however ultimately excluded due to them including exclusively <italic>in-vitro</italic> or cellular models without human patient samples.</p>
<p>There is a strong pool of literature supporting the upregulation of p16<sup>INK4a</sup> and p21<sup>CIP1</sup> as reliable senescence markers in infected tissue (<xref ref-type="bibr" rid="B7">Evangelou et al., 2021</xref>; <xref ref-type="bibr" rid="B8">2022</xref>; <xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>; <xref ref-type="bibr" rid="B14">Lee et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref>). p16<sup>INK4a</sup> is the most well-studied marker of senescence in the peripheral serum monocytes and has been shown to be increased in acute disease states (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>; <xref ref-type="bibr" rid="B39">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B15">Lekva et al., 2022</xref>). Additionally, expression of p16<sup>INK4a</sup> in peripheral T cells is a viable marker of normal human aging outside of infectious processes and appears to be correlated to patient frailty within and across age demographics (<xref ref-type="bibr" rid="B19">Liu et al., 2009</xref>; <xref ref-type="bibr" rid="B6">Englund et al., 2021</xref>). In the preclinical literature, this phenomenon does not appear to be exclusive to the four conditions included in this review. Senescence has been observed <italic>in vitro</italic> or <italic>ex vivo</italic> with other acute infections including influenza A virus and respiratory syncytial virus (<xref ref-type="bibr" rid="B16">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B31">Schulz et al., 2024</xref>) but also in chronic viral infections including CMV, HCV, and HIV (<xref ref-type="bibr" rid="B22">Montano et al., 2022</xref>; <xref ref-type="bibr" rid="B27">Raviola et al., 2024</xref>). Senescence driven by these chronic viral infections is believed to accelerate cellular aging and contribute to a pro-tumor micro- and macro-environments (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>; <xref ref-type="bibr" rid="B10">Froidure et al., 2020</xref>).</p>
<p>Mechanistically, it appears that age-related accumulation of senescent cells predisposes an individual to acute infection with a cellular polarization towards inflammatory states. This is true for both peripheral tissue and circulating immune cells. Subsequently, the acute infection stimulates further the accumulation of senescent cells, which exacerbates disease phenotype through a positive feedback loop, ultimately creating excess inflammation (<xref ref-type="bibr" rid="B39">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>; <xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Roh et al., 2022</xref>). This is supported by senescence induction by upregulation of MAPK signaling in SARS-CoV-2 (<xref ref-type="bibr" rid="B37">Wang et al., 2023</xref>) and excessive stem cell replication in acute malaria infection (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>). Additionally, SASP secretion in cutaneous <italic>L. braziliensis</italic> appears to create a positive-feedback loop with the immune system which induces substantial inflammation (<xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>). Based on the methodology of the reported studies, however, it remains unclear whether patients with increased senescence are more prone to acute infection, whether acute infections in and of themselves increase cellular senescence, or both.</p>
<p>Chronic sequelae of acute infections may also be a consequence of enhanced cellular senescence. In SARS-CoV-2, senescence caused by acute infection is shown to contribute to long-standing changes like emphysema and fibrosis by accelerating age-related changes (<xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>). Lipskaia et al. postulated there may be a causal link between epithelial cell senescence and vascular thrombosis (<xref ref-type="bibr" rid="B18">Lipskaia et al., 2022</xref>). Subsequent studies revealed upregulated senescence, F3, and von Willebrand factor in epithelial cells of patients with severe SARS-CoV-2 (<xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Nguyen et al., 2022</xref>). Furthermore, the antithrombotic protein ADAMTS13 was shown to be decreased and to have a strong inverse relation with cardiac injuries like acute coronary syndrome (<xref ref-type="bibr" rid="B28">Roh et al., 2022</xref>). All of these changes contribute to thrombosis of the pulmonary vasculature, which is a well-known cause of pulmonary fibrosis and may be implicated in the development of post-COVID-19 syndrome.</p>
<p>Following resolution of these acute infections, we see mixed results whether senescence markers persist or return to baseline. Patients infected with <italic>P. falciparum</italic> showed resolution of serum senescence markers to baseline within the year following acute infection (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>). Following recovery of acute hepatitis C, however, serum senescence markers persist for over 2&#xa0;years and are suspected to contribute to T cell exhaustion (<xref ref-type="bibr" rid="B21">Mart&#xed;n-Escolano et al., 2023</xref>). Serum samples from patients with severe SARS-CoV-2 showed persistently upregulated SASP 3&#xa0;months after resolution of infection in an age-dependent and age-independent manner further supporting involvement of senescence in post-COVID-19 syndrome (<xref ref-type="bibr" rid="B15">Lekva et al., 2022</xref>).</p>
<p>Importantly, senescence markers may be clinically significant as predictors of disease presence and severity and can be used to guide treatment. The studies included in this review show the burden of senescence markers correlates with disease severity. For SARS-CoV-2, this is true of numerous markers including p21<sup>CIP1</sup> in peripheral blood mononuclear cells (<xref ref-type="bibr" rid="B17">Lin et al., 2023</xref>), telomere shortening in peripheral blood T cells (<xref ref-type="bibr" rid="B10">Froidure et al., 2020</xref>), serum SASP profile at time of admission (<xref ref-type="bibr" rid="B28">Roh et al., 2022</xref>), and MAPK signaling in the testes (<italic>r</italic> &#x3d; 0.999, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="bibr" rid="B37">Wang et al., 2023</xref>). <italic>P. falciparum</italic> infection is also shown to be correlated with increased p16<sup>INK4a</sup> expression, decreased telomerase activity, and shortened telomeres in peripheral white blood cells (<xref ref-type="bibr" rid="B1">Asghar et al., 2018</xref>). Finally, in <italic>L. braziliensis</italic> infection, the size of cutaneous lesions and parasitic load correlated with cutaneous SASP marker expression (<xref ref-type="bibr" rid="B9">Fantecelle et al., 2021</xref>).</p>
<p>Given the substantial involvement of cellular senescence in acute infection, this process may be a viable drug target. The senolytics navitoclax, fisetin, and quercetin plus dasatinib were shown to be effective at reducing senescent phenotype <italic>in vivo</italic> models of SARS-CoV-2 infection. Moreover, animal models treated with these senolytics displayed meaningful improvement of disease phenotype albeit with moderate adverse effects (<xref ref-type="bibr" rid="B14">Lee et al., 2021</xref>). F3 inhibitors are also being explored as possible therapeutic agents to prevent dysregulation of thrombosis seen with epithelial cell senescence in SARS-CoV-2 (<xref ref-type="bibr" rid="B23">Nguyen et al., 2022</xref>).</p>
<p>The mechanism by which cellular senescence influences an individual&#x2019;s risk of acquiring infection and that infection being severe in nature are numerous and dependent on the infectious agent. Generally, it involves an alteration in immune cell populations systemically, a decline in the innate and adaptive immune function, and chronic inflammation (<xref ref-type="bibr" rid="B45">Wrona et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Marrella et al., 2022</xref>). Although outside the scope of this review, these mechanisms are explored and reported in other narrative and literature reviews and we refer interested readers to the following excellent summaries (<xref ref-type="bibr" rid="B47">Reyes et al., 2023</xref>; <xref ref-type="bibr" rid="B45">Wrona et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Marrella et al., 2022</xref>; <xref ref-type="bibr" rid="B48">Li et al., 2023</xref>).</p>
<p>The key limitation of this review was the study populations. Most included studies were limited to populations of severely to critically ill patients which raises concerns regarding the generalizability of these findings (<xref ref-type="bibr" rid="B10">Froidure et al., 2020</xref>; <xref ref-type="bibr" rid="B8">Evangelou et al., 2022</xref>). Further clinical research is essential to develop a thorough understanding of the role of cellular senescence in acute infection. Mechanistic questions remain including how acute infections affect the rate of senescent cell accumulation and aging and if these are transient events. There are also practical challenges to the clinical use of senescence markers including when they should be measured during a disease course and which markers should be measured. Furthermore, it is unclear if nucleic acid or protein assays are more reliable in clinical populations.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Current literature demonstrates robust upregulation of markers of cellular senescence in the setting of acute SARS-CoV-2, <italic>P. falciparum</italic>, <italic>L. braziliensis</italic>, and hepatitis C virus, and that markers of senescence correlate with disease severity and persist for months after resolution. Limitations in the number and types of infectious organisms studied, low sample sizes, modest longitudinal sampling, and a lack of consistency in markers measured, the method of measurement, and the definition of normal values represent ongoing gaps in the literature.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>WM: Conceptualization, Data curation, Formal Analysis, Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. SW: Data curation, Formal Analysis, Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. WK: Writing&#x2013;original draft, Writing&#x2013;review and editing, Visualization. ER: Data curation, Methodology, Writing&#x2013;original draft. NT-M: Data curation, Methodology, Writing&#x2013;review and editing. MY: Formal Analysis, Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing, Data curation. ES: Writing&#x2013;review and editing. LN: Conceptualization, Methodology, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing. MP: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fragi.2024.1500741/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fragi.2024.1500741/full&#x23;supplementary-material</ext-link>
</p>
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