Evidence map›Paper›PMID 40644421›Full record

ArticlePloS one2025

Core autophagy genes and immune infiltration characteristics in rheumatoid arthritis: A bioinformatics study.

Zining Peng, Qian Deng, Yuanbo Huang, Fanyu Meng, Yuan Long, Yuanyuan Wei, Weitian Yan, Xiaoyu Zhang, Jiangyun Peng, Zhaofu Li and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Zining PengThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.ORCID https://orcid.org/0000-0003-3081-5967
Qian DengThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Yuanbo HuangThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Fanyu MengThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Yuan LongThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Yuanyuan WeiThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Weitian YanDepartment of Rheumatology, The No.1 Affiliated Hospital of Yunnan University of Chinese Medicine/Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan, PR China.
Xiaoyu ZhangThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Jiangyun PengDepartment of Rheumatology, The No.1 Affiliated Hospital of Yunnan University of Chinese Medicine/Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan, PR China.ORCID https://orcid.org/0000-0003-1820-2252
Zhaofu LiThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.
Nian LiuThe First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to identify autophagy-related biomarkers in rheumatoid arthritis (RA) synovium, analyze their immune infiltration characteristics, and validate therapeutic potential through multi-level experimental approaches.

methodsWe used public datasets to obtain synovial tissue genes of healthy people and RA patients, screened differentially expressed genes (DEGs) of RA, and intersected with the human autophagy gene database (HADb) to obtain RA autophagy genes. GO and KEGG enrichment analysis and single-gene genome enrichment analysis were performed. The diagnostic value of RA core autophagy genes in the validation set was screened and verified. The immune cell correlation analysis of RA autophagy core genes was performed to obtain the correlation between single disease autophagy core genes and immune cells. Finally, we prepared CIA rat models to verify the autophagy protein P62, Beclin-1 and the 11 core genes associated with RA-autophagy.

resultsA total of 1098 RA DEGs were obtained. Intersecting with 222 autophagy genes obtained from the HADb database yielded 27 RA autophagy genes. GO analysis of RA autophagy genes showed 307 biological mechanisms. KEGG enrichment analysis obtained 86 signaling pathways, including FoxO, Necroptosis and other pathways related to RA autophagy. GSEA analysis found that the control group had a higher correlation with adipokine signaling pathways and others. And 11 RA autophagy-related core genes (IFNG, EGFR, MYC, CXCR4, MAPK8, CASP1, TNFSF10, CTSB, FAS, FOXO1, FOXO3) were obtained by screening the PPI network, and there were differences in expression in the training set (P < 0.001). External validation set verification showed diagnostic efficacy. Analysis of immune infiltration in RA autophagy-related genes revealed 14 immune cell types differentially abundant in synovial tissues of RA patients vs. normal controls. Significant correlations exist between autophagy genes and immune subsets. Finally, animal experiments showed that joint autophagy was enhanced (P < 0.001), and the mRNA of 11 RA-autophagy core genes had significant changes (P < 0.001).

conclusionWe systematically identified 11 autophagy-related core genes as potential therapeutic targets for RA. Our CIA model validation provides preclinical evidence supporting their translational potential. These genes showed significant correlations with 14 synovial immune cell subtypes, may serve as novel therapeutic targets by modulating immune infiltration and inflammatory pathways. Future investigations should focus on elucidating the mechanistic basis of the observed gene-immune cell interactions in both autophagic and immune pathways to facilitate the development of precision therapies.

Indexed as

Arthritis, RheumatoidAutophagyComputational BiologyAnimalsArthritis, ExperimentalBiomarkersDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMaleRatsSignal TransductionSynovial MembraneBiomarkers

Identifiers

PMID40644421
PMCPMC12250634

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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.