Cited by 104Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model OrganismsSirtuins and Resveratrol in Medicine

Impact of Senescent Cell Subtypes on Tissue Dysfunction and Repair: Importance and Research Questions

Open access
Tripathi, Utkarsh, Misra, Avanish, Tchkonia, Tamar, Kirkland, James L.·2021·Mechanisms of Ageing and Development

Abstract

Cellular senescence, first observed and defined through cell culture studies, is a cell fate associated with essentially permanent cell cycle arrest and that can be triggered by a variety of inducers. Emerging evidence suggests senescence is a dynamic process with diverse functional characteristics. Depending on the tissue, type of inducer, and time since induction, senescent cells can promote tissue repair and re-modeling, prevent tumor development, or contribute to age-related disorders and chronic diseases, including cancers. Senescent cell characteristics appear to depend on multiple factors and be influenced by the milieu and other senescent cells locally and at a distance. We review diverse phenotypes of senescent cells originating from different cell types, senescence inducers over time since induction of senescence, and across conditions and diseases. This background is essential to inform further understanding about senescent cell subtypes and will point towards rational senescence-modulating strategies for achieving therapeutic benefit.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.mad.2021.111548

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Transient senescent cells can have beneficial functions: their SASPs can orchestrate tissue remodeling, induce immune responses during infection or injury, promote parturition via placental senescent cells, and attract immune cells to clear pro-inflammatory senescent cells.

    “If senescent cells are present transiently, beneficial functions of both the proapoptotic and pro-growth types of SASP can orchestrate tissue remodeling”

    From Cellular senescence and senolytics: the path to the clinic (2022) · cites this paper as [61]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • In the other 30-70% of senescent cells, the SASP appears to contain growth and regenerative factors, may cause less apoptosis, tissue destruction, and fibrosis, and can contribute to tissue repair via factors such as VEGF-A and PDGF-AA.

    “In the other 30–70% of senescent cells, the SASP appears to comprise growth and other regenerative factors, potentially causing less apoptosis, tissue destruction and fibrosis than proapoptotic, pro-inflammatory senescent cells and can even contribute to tissue repair (for example, through the growth factors VEGF-A and PDGF-AA)61,65.”

    From Cellular senescence and senolytics: the path to the clinic (2022) · cites this paper as [61]

    In “Anti-apoptotic defenses vary among senescent cells” (page unavailable), the paper estimates that deleterious cells may comprise 30–70% of senescent cells and says the remaining helper cells release fewer pro-apoptotic factors and might aid wound healing through PDGF-AA. “Type of inducers” (page unavailable) also describes VEGF secretion by senescent fibroblasts, but does not identify those fibroblasts as helper cells. The paper does not specifically say that helper cells cause less fibrosis than deleterious cells. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • In 30-70% of senescent cells, the SASP contains pro-inflammatory, proapoptotic, and pro-fibrotic factors, some of which can make previously non-senescent cells senescent locally and at a distance through endocrine action.

    “In 30–70% of senescent cells, this SASP entails pro-inflammatory, proapoptotic and pro-fibrotic factors7,31,40,59–64, some of which can cause previously non-senescent cells to become senescent both locally and at a distance in an endocrine manner24,39,47.”

    From Cellular senescence and senolytics: the path to the clinic (2022) · cites this paper as [61]

    The “Anti-apoptotic defenses vary among senescent cells” section says pro-inflammatory and pro-apoptotic D-senescent cells may comprise about 30–70% of senescent cells, based on unpublished observations; it does not include pro-fibrotic factors in that description. The “Endocrine and paracrine impact of the SASP” section says SASP factors can spread senescence to previously normal cells locally and in distant organs. The claim is therefore supported in part, but states the tentative percentage more firmly and adds an unsupported pro-fibrotic component. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • SASP factors, senescence markers, and markers of other aging processes such as α-Klotho can be assayed in body fluids including urine, saliva, blood, and cerebrospinal fluid.

    “SASP factors, senescence markers and markers of other fundamental aging processes (for example, α-Klotho) can be assayed in body fluids such as urine, saliva, blood or cerebrospinal fluid7,19,48,59,61,64,132,133.”

    From Cellular senescence and senolytics: the path to the clinic (2022) · cites this paper as [61]

    The sections on SASP differences and endocrine effects (page unavailable) discuss SASP factors and senescence markers, but do not say they can be assayed in body fluids. Searches for urine, saliva, blood, cerebrospinal fluid, α-Klotho, and circulating biomarkers found no passage addressing the claimed assays. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Tripathi, U., Misra, A., Tchkonia, T., & Kirkland, J. L.
Affiliations
Mayo Clinic (US)
Corresponding author
Kirkland, James L.
Venue
Mechanisms of Ageing and Development
Publisher
Elsevier BV
Published
2021-09
Volume
198
Pages
111548
ISSN
0047-6374 (ISSN-L)
OpenAlex
W3193165141
Cited by
104
References
82
Citations by year
2026: 22 · 2025: 28 · 2024: 17 · 2023: 21 · 2022: 10 · 2021: 6
FWCI
1.80
Type
journal article
Language
en
Open access
Locations
  • Mechanisms of Ageing and Development (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (P01 AG62413, R01 AG072301, R01 AG61414, R33 AG61456, R37 AG13925, UH3 AG56933)
  • Noaber Foundation
Topics
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
Keywords
cellular senescence, tissue repair, tissue remodeling, tumor suppression, age-related diseases, chronic disease, paracrine senescence
MeSH terms
Senescence-Associated Secretory Phenotype, Aging, Cell Cycle, Cells, Chronic Disease, Humans, Regeneration, Cellular Senescence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review