Evidence map›Paper›PMID 40785685›Full record

ReviewZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2025

Protective effects of exerkine on cardiovascular system.

Huiling Chen, Peizhen Zhang

Abstract readReview
In one paragraph

Review in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Association of wearableZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
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

2 authors.

Huiling ChenSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084. lll100216@126.com.
Peizhen ZhangSchool of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing 100084. zhpzh17@hotmail.com.

Funding

the Fundamental Research Funds for the Central Universities 2024TNJN002
6 · The paper itself

Abstract

Cardiovascular disease (CVD) poses a serious threat to human health. Exercise plays an important role in both the prevention and treatment of CVD and is one of the key non-pharmacological interventions. Exercise can regulate the level of exerkine secreted by different tissue cells, directly affect the cardiovascular system or play a role in cardiovascular protection by improving cardiovascular risk factors. Exerkine such as meteorin-like protein (Metrnl), brain-derived neurotrophic factor (BDNF), fibroblast growth factor 21 (FGF21), and exosomal microRNA (miRNA) play an important role in regulating vascular and cardiac diseases such as atherosclerosis, heart failure, cardiac ischemia-reperfusion and myocardial infarction, as well as their risk factors. Exploring the signaling pathways and mechanisms by which Metrnl, BDNF, FGF21, and exosomal miRNAs exert cardiovascular protective effects can provide novel insights into exercise-based strategies for preventing and treating cardiovascular diseases.

Indexed as

Cardiovascular DiseasesCardiovascular SystemExerciseBrain-Derived Neurotrophic FactorExosomesFibroblast Growth FactorsHumansMicroRNAsSignal TransductionBDNF protein, humanBrain-Derived Neurotrophic FactorFGF21 protein, humanfibroblast growth factor 21Fibroblast Growth FactorsMicroRNAsbrain-derived neurotrophic factorcardiovascularexerkineexosomal miRNAfibroblast growth factor 21meteorin-like protein

Identifiers

PMID40785685
PMCPMC12329748

What OpenQuestion 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 OpenQuestion graph.