Evidence map›Paper›PMID 41913932›Full record

ArticlePeerJ2026

Identification of the mitochondria-related gene

Xinyi Hu, Zhiliang Cai, Feiran Zhou, Siliang Chen, Ping Li, Siyi Jin, Songyao Lan, Xiaoyan Du, Rui Xing

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xinyi Hu *Department of Intensive Care Unit, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Zhiliang Cai *Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Feiran ZhouPatient Monitoring and Life Support User Service Department, Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China.
Siliang ChenDepartment of Interventional Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Ping LiDepartment of Endocrinology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Siyi JinMedical Department, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Songyao LanDepartment of Pathology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Xiaoyan DuDepartment of General Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Rui XingDepartment of Intensive Care Unit, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical exercise (PE) holds significant clinical value in alleviating the progression of Parkinson's disease (PD), yet its underlying regulatory mechanisms remain unclear. Our study aims to investigate the role of mitochondria-related genes in the regulatory mechanisms by which physical exercise ameliorates Parkinson's disease. Methods: Mitochondria-related differentially expressed genes (DEGs) were screened Results: Our findings demonstrated that Conclusions: PE can potentially downregulate the expression of the mitochondria-related gene

Indexed as

ExerciseInterferon Regulatory Factor-7MitochondriaParkinson DiseaseGene Expression ProfilingHumansUp-RegulationInterferon Regulatory Factor-7IRF7 protein, humanFerroptosisIRF7Mitochondrial dysfunctionParkinson’s diseasePhysical exercise

Identifiers

PMID41913932
PMCPMC13033288

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.