Cited by 76Atherosclerosis and Cardiovascular DiseasesTelomeres, Telomerase, and SenescenceCholesterol and Lipid Metabolism

Senescent cells suppress innate smooth muscle cell repair functions in atherosclerosis

Open access
Childs, Bennett G., Zhang, Cheng, Shuja, Fahad, Sturmlechner, Ines, Trewartha, Shawn, Velasco, Raul Fierro, Baker, Darren J., Li, Hu +1 more·2021·Nature Aging

Abstract

Senescent cells (SNCs) degenerate the fibrous cap that normally prevents atherogenic plaque rupture, a leading cause of myocardial infarction and stroke. Here we explored the underlying mechanism using pharmacological or transgenic approaches to clear SNCs in the Ldlr -/- mouse model of atherosclerosis. SNC clearance reinforced fully deteriorated fibrous caps in highly advanced lesions, as evidenced by restored vascular smooth muscle cell (VSMC) numbers, elastin content, and overall cap thickness. We found that SNCs inhibit VSMC promigratory phenotype switching in the first interfiber space of the arterial wall directly beneath atherosclerotic plaque, thereby limiting lesion entry of medial VSMCs for fibrous cap assembly or reinforcement. SNCs do so by antagonizing IGF-1 through the secretion of insulin-like growth factor-binding protein 3 (Igfbp3). These data indicate that the intermittent use of senolytic agents or IGFBP-3 inhibition in combination with lipid lowering drugs may provide therapeutic benefit in atherosclerosis.

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 · 10.1038/s43587-021-00089-5

Cites

73 of 73 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?

  • The findings are consistent with previous studies suggesting senescent cells contribute to fibrous cap thinning, although differences in other aspects could be due to different animal models, detection methods, traits examined, and time points.

    “our findings are consistent with previous studies suggesting that senescent cells contribute to fibrous cap thinning, although differences in other aspects of these studies, such as gene expression changes, could be attributed to the use of different animal models, methods of detection, traits examined and time points studied48.”

    From Single-cell and spatial transcriptomics map senescent vascular cells in arterial remodeling during atherosclerosis in mice (2025) · cites this paper as [48]

    Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Senescent cells contribute to the initiation and progression of various aging-related chronic diseases.

    “and contribute to the initiation and progression of various aging-related chronic diseases.9,10,11”

    From Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators (2024) · cites this paper as [10]

    The Abstract links senescent cells at sites of age-related pathologies to tissue degeneration and dysfunction, and the Abstract and Discussion describe their harmful role in atherosclerosis. The paper does not establish that senescent cells contribute to both the initiation and progression of various chronic diseases; its mechanistic findings concern atherosclerosis in mice. (LLM, conf=0.82)

    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
Childs, B. G., Zhang, C., Shuja, F., Sturmlechner, I., Trewartha, S., Velasco, R. F., Baker, D. J., Li, H., & van Deursen, J. M.
Affiliations
Mayo Clinic (US)
Venue
Nature Aging
Published
2021-08-02
Volume
1
Issue
8
Pages
698-714
ISSN
2662-8465 (ISSN-L)
OpenAlex
W3187881836
Cited by
76
References
73
Citations by year
2026: 15 · 2025: 18 · 2024: 12 · 2023: 18 · 2022: 10 · 2021: 3
FWCI
4.01
Type
journal article
Language
en
Open access
Locations
  • Nature Aging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
Funders
  • U.S. Department of Health & Human Services | National Institutes of Health (AG57493, AG049672)
  • Keck Foundation Glenn Foundation for Medical Research
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
senescent cells, senolytics, atherosclerosis, vascular smooth muscle cells, IGF binding protein-3, insulin-like growth factor I, smooth muscle cell migration, plaque rupture, Ldlr-deficient mice, elastin, lipid-lowering therapy
MeSH terms
Animals, Myocardial Infarction, Cellular Senescence, Myocytes, Smooth Muscle, Atherosclerosis, Mice, Plaque, Atherosclerotic

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