Evidence map›Paper›PMID 40453080›Full record

ReviewFrontiers in immunology2025

New insights into the role of cellular senescence and rheumatic diseases.

Jianting Wen, Jian Liu, Lei Wan, Fanfan Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

4 authors.

Jianting WenDepartment of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Jian LiuDepartment of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Lei WanDepartment of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Fanfan WangInstitute of Rheumatology, Anhui Academy of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatic disease is a chronic inflammatory disease that imposes significant societal and economic burdens. Accumulating evidence has demonstrated that cellular senescence plays an important role in inflammation-induced rheumatic diseases. Due to the lack of effective therapies, there is an urgent need for a deeper understanding of the etiopathogenesis of rheumatic diseases. In this review, we systematically summarized the role of cellular senescence in rheumatic diseases. We first focused on the mechanisms and hallmarks of cellular senescence, and then summarized evidence that can induce or aggravate cellular senescence, as well as related signaling pathways. Next, we discussed the mechanisms of interaction between cellular senescence and rheumatic diseases. Additionally, we focused on and elucidated the mechanisms and impacts of chondrocyte senescence and mesenchymal stem cell (MSC) senescence in osteoarthritis (OA) and systemic lupus erythematosus (SLE), respectively. Finally, we highlighted the potential of therapies targeting senescent cells in rheumatic diseases as a strategy, especially the multi-target effect of traditional Chinese medicine.

Indexed as

Cellular SenescenceRheumatic DiseasesAnimalsChondrocytesHumansMesenchymal Stem CellsOsteoarthritisSignal Transductioncellular senescencechronic inflammationrheumatic diseasesTCMtreatment strategy

Identifiers

PMID40453080
PMCPMC12122340

What OpenQuestion holds

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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.