Evidence map›Paper›PMID 37879300›Full record

ReviewGerontology2024

Cellular Senescence in Human Skin Aging: Leveraging Senotherapeutics.

Saranya P Wyles, Jean D Carruthers, Parisa Dashti, Grace Yu, Jane Q Yap, Anne Gingery, Tamara Tchkonia, James Kirkland

Open access · greenAbstract readReview
In one paragraph

Review in Gerontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Promoting collagen synthesis: a viable strategy to combat skin ageing.Journal of enzyme inhibition and medicinal chemistry · 2025
    Review
  12. SkinspanMayo Clinic proceedings · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Saranya P WylesDepartment of Dermatology, Mayo Clinic, Rochester, Minnesota, USA.
Jean D CarruthersDepartment of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Parisa DashtiDepartment of Dermatology, Mayo Clinic, Rochester, Minnesota, USA.
Grace YuMayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic Alix School of Medicine, and Mayo Clinic Medical Scientist Training Program, Rochester, Minnesota, USA.
Jane Q YapDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA.
Anne GingeryDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Tamara TchkoniaDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA.
James KirklandDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USUniversity of British Columbia · CA

Funding

Targeting Cellular Senescence to Extend HealthspanP01AG062413 · NIA · MAYO CLINIC ROCHESTER · PI Sundeep Khosla, Nathan K LeBrasseur · 2019 to 2026
$28.7M
Effect of Aging on Preadipocyte DifferentiationR37AG013925 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 2016 to 2025
$6.6M
Translational Geroscience NetworkR33AG061456 · NIA · MAYO CLINIC ROCHESTER · PI JAMES L. KIRKLAND, STEPHEN B. KRITCHEVSKY · 2019 to 2026
$6.2M
Medical Scientist Traning Program at Mayo ClinicT32GM065841 · NIGMS · MAYO CLINIC ROCHESTER · PI KAUFMANN, SCOTT H, SCHIMMENTI, LISA A · 2003 to 2022
$5.8M
Effect of Aging on Preadipocyte DifferentiationR01AG013925 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 1997 to 2012
$3.7M
The Role of Cellular Senescence in Carpal Tunnel Syndrome.R01AR076347 · NIAMS · MAYO CLINIC ROCHESTER · PI Anne Gingery · 2020 to 2026
$3.3M
Topical Senolytics for Chronic Wound HealingR03AG082919 · NIA · MAYO CLINIC ROCHESTER · PI WYLES, SARANYA PURUSHOTHAMAN · 2023 to 2023
$323k
NIAMS NIH HHS R01 AR076347NIA NIH HHS P01 AG062413NIA NIH HHS R01 AG013925NIA NIH HHS R03 AG082919NIA NIH HHS R33 AG061456NIA NIH HHS R37 AG013925NIGMS NIH HHS T32 GM065841
6 · The paper itself

Abstract

backgroundAs the largest organ in the human body, the skin is continuously exposed to intrinsic and extrinsic stimuli that impact its functionality and morphology with aging. Skin aging entails dysregulation of skin cells and loss, fragmentation, or fragility of extracellular matrix fibers that are manifested macroscopically by wrinkling, laxity, and pigmentary abnormalities. Age-related skin changes are the focus of many surgical and nonsurgical treatments aimed at improving overall skin appearance and health. SUMMARY: As a hallmark of aging, cellular senescence, an essentially irreversible cell cycle arrest with apoptosis resistance and a secretory phenotype, manifests across skin layers by affecting epidermal and dermal cells. Knowledge of skin-specific senescent cells, such as melanocytes (epidermal aging) and fibroblasts (dermal aging), will promote our understanding of age-related skin changes and how to optimize patient outcomes in esthetic procedures. KEY MESSAGES: This review provides an overview of skin aging in the context of cellular senescence and discusses senolytic intervention strategies to selectively target skin senescent cells that contribute to premature skin aging.

Indexed as

SenotherapeuticsSkin AgingAgingCellular SenescenceHumansMelanocytesSkinSenotherapeuticsAge-related changesCellular senescenceDermal senescenceEpidermal senescenceSkin aging

Identifiers

PMID37879300
PMCPMC10873061
OpenAlexW4387949317

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.