Evidence map›Paper›PMID 41163236›Full record

ReviewImmunity & ageing : I & A2025

Immune-mediated interactions between sarcopenia and atherosclerosis in aging.

Mei Yu, Rujia Zhao, Lichao Ge, Tong Yu, Hangyan Shen, Chengyi Dai, Haihua Wang

Abstract readReview
In one paragraph

Review in Immunity & ageing : I & A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Article
  2. Nutrients · 2026
    Review
  3. Article
  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

7 authors.

Mei YuThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Rujia ZhaoThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Lichao GeThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Tong YuThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Hangyan ShenThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Chengyi DaiThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China.
Haihua WangThe First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, 311200, China. whhdmm1@163.com.

Funding

Hangzhou Medical and Health Science and Technology Project No. B20253650Xiaoshan Scientific and Technological Projects No.2024341
6 · The paper itself

Abstract

Sarcopenia and atherosclerosis are prevalent age-related conditions increasingly recognized as interconnected through shared immune-mediated pathways. This review elucidates how "inflammaging" driven by dysregulated immune responses. Key age-related mechanisms include macrophage polarization imbalance, T/B cell dysregulation, and activation of pro-inflammatory signaling pathways. These processes promote oxidative stress, insulin resistance, creating a vicious cycle that exacerbates muscle and vascular decline. Emerging therapeutic strategies offering potential for dual-benefit interventions. Understanding these immune interactions provides a foundation for integrated approaches to mitigate sarcopenia and atherosclerosis in aging.

Indexed as

AgingAtherosclerosisComorbiditiesInflammagingSarcopenia

Identifiers

PMID41163236
PMCPMC12574311

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.