Evidence map›Paper›PMID 39820483›Full record

ArticleScientific reports2025

Regulation of reactive oxygen species and the role of mitochondrial apoptotic-related genes in rheumatoid arthritis.

Conghui Gao, Chengqiang Zhang, Lixing Wen, Gailian Zhang, Xiaoping Liu, Jie Wang, Luping Cui, Rui Li, Tingting Nie, Jiaoniu Duan and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  3. Prunin: An Emerging Anticancer Flavonoid.International journal of molecular sciences · 2025
    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

11 authors.

Conghui GaoDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China. 280468787@qq.com.
Chengqiang ZhangDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Lixing WenDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Gailian ZhangDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Xiaoping LiuDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Jie WangDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Luping CuiDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Rui LiDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Tingting NieDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Jiaoniu DuanDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Yingying GuoDepartment of Rheumatology and Immunology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.

Funding

Natural Science Foundation of Shanxi Province 202203021221267Research Project of Shanxi Administration of Traditional Chinese Medicine 2024ZYYC037Shanxi Provincial People's Hospital Education and Teaching Reform and Innovation Project 2023Z012Youth Project of Natural Science Foundation of Shanxi Province 20191D21517
6 · The paper itself

Abstract

Previous research suggests mitochondrial apoptosis alleviates rheumatoid arthritis (RA), but the role of mitochondrial apoptosis-related genes (MARGs) is unclear. Urgent exploration of RA-related mitochondrial apoptosis biomarkers is needed. Gene Expression Ontology (GEO)-derived RA datasets were used to identify differentially expressed genes (DEGs) compared to normal controls, intersected with MARGs to obtain differentially expressed mitochondrial apoptosis-related genes (DE-MARGs). Three ML algorithms screened diagnostic biomarkers. A nomogram was built and validated by receiver operating characteristic (ROC) analysis. Gene Set Enrichment Analysis (GSEA), regulatory network, and drug prediction explored biomarker mechanisms. Finally, key cells analysis included clustering, type annotation, pseudo-temporal study, and interaction, focusing on validated biomarker expression in those cells. A total of 147 DE-MARGs linked to energy & ROS metabolism were identified. Four validated biomarkers (MRPS10, EEF2, HSPA9, TUFM) formed a new RA diagnostic model. Moreover, GSEA linked them to oxidative phosphorylation. YY1 regulates EEF2, HSPA9, MRPS10; FOXO3 regulates EEF2, TUFM. Drugs like Nonoxynol-9, Nedocromil, Gadobutrol target these biomarkers. In addition, biomarkers are expressed in plasmablasts, with CD74 as a key receptor binding multiple ligands. RA biomarkers (MRPS10, EEF2, HSPA9, TUFM) linked to energy & ROS, progression tied to AMPK/mTOR, CD74-MIF crucial. Study advances RA pathogenesis knowledge, supporting clinical diagnosis.

Indexed as

ApoptosisArthritis, RheumatoidMitochondriaReactive Oxygen SpeciesBiomarkersGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansBiomarkersReactive Oxygen SpeciesAMPK/mTOR signaling pathwayBiomarkerMitochondrial apoptosisReactive oxygen metabolismRheumatoid arthritisSingle-cell sequencing

Identifiers

PMID39820483
PMCPMC11739689

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.