Evidence map›Paper›PMID 41111991›Full record

ReviewIranian journal of biotechnology2025

Utilizing Circulating MicroRNAs for Personalized Exercise Programs: Insights into Physiological Adaptations and Individual Responses.

Zhanguo Su, Li Chen

Abstract readReview
In one paragraph

Review in Iranian journal of biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

2 authors.

Zhanguo SuInternational College, Krirk University, Bangkok 10220, Thailand.
Li ChenDepartment of Physical Education, Jinling Institute of Technology, Nanjing 211169, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence Acquisition: This narrative review included articles sourced from databases such as PubMed, Google Scholar, ScienceDirect, Web of Science, and Scopus, without time limitations. Studies on c-miRNAs related to exercise were reviewed, and the search strategy involved using keywords such as "microRNA," "exercise," and "biomarkers." The selected studies were reviewed based on their relevance to exercise-related c-miRNAs and their contributions to the field. Results: The review identifies multiple c-miRNAs that are sensitive to exercise-induced changes, with miR-1, miR-126, miR-21, and miR-146a showing significant correlations with cardiovascular and muscle adaptations. These findings suggest that c-miRNAs may serve as reliable indicators for individualized training programs, highlighting the importance of molecular responses in tailoring exercise regimens to optimize performance and health outcomes. Conclusions: c-miRNAs offer promising potential for personalized exercise prescriptions. Future studies should aim to elucidate the full regulatory networks and assess the variability of these biomarkers across diverse populations and exercise modalities. Clinicians and sports practitioners can apply this knowledge to refine training strategies, improving athletic performance and health monitoring.

Indexed as

Adaptation PhysiologicalBiomarkersExercise PhysiologyGene Expression RegulationMicroRNAsPersonalized Medicine

Identifiers

PMID41111991
PMCPMC12535288

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.