Evidence map›Paper›PMID 41601651›Full record

ArticleFrontiers in immunology2025

TRIM29 drives ulcerative colitis by disrupting lipid metabolism via lysosomal dysfunction: a multi-omics and experimental study.

Xing-Zhou Guo, Lu-Yun Zhang, Zong-Biao Tan, Hao-Dong He, Ya-Fei Liu, Bao-Ping Yu, Wei-Guo Dong

Abstract read
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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xing-Zhou GuoDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Lu-Yun ZhangDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zong-Biao TanDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Hao-Dong HeDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Ya-Fei LiuDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Bao-Ping YuDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wei-Guo DongDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathogenesis of ulcerative colitis (UC) involves genetic susceptibility and immune dysregulation. However, a more comprehensive understanding of its underlying mechanisms is still required. Methods: Weighted correlation network analysis (WGCNA) and Mendelian randomization (MR) were used to investigate the association and causality between lipid metabolism and UC. Hub genes were identified by applying ensemble machine learning (LASSO, SVM, XGBoost) to the merged transcriptomic data, followed by cell-type-specific localization using public single-cell RNA-seq data from UC tissues. Pathophysiological relevance was confirmed in a DSS-induced colitis mouse model. The mechanistic role of the key hub gene was defined through knockdown LPS challenge in colonic epithelial cells, coupled with transcriptomic profiling. Results: Integrated WGCNA and MR analyses established a strong association between UC and lipid metabolic pathways, which was experimentally confirmed by marked intracellular lipid accumulation in UC models. Mechanistically, this dysregulation was traced to lysosomal dysfunction, a finding solidified by pharmacological modulation with Rapamycin (enhancer) and Chloroquine (inhibitor), which directly demonstrated that lysosomal activity governs lipid metabolic disturbance. Subsequent machine-learning-based feature selection from lysosome-related genes pinpointed TRIM29 as a central regulator. Functional and transcriptomic analyses together demonstrated that TRIM29 knockdown attenuates UC progression by rescuing the lysosome-lipid metabolism axis, as evidenced by restored lysosomal function, enhanced cytoskeletal transport, improved lipid catabolism, a resolved pro-inflammatory immune profile, and downregulated inflammatory signaling. Conclusion: This study identifies TRIM29 as a master regulator that drives UC progression by disrupting lysosomal function and reprogramming lipid metabolism. Our work delineates the TRIM29-lysosome-lipid metabolism axis, providing a mechanistic rationale for targeting TRIM29 as a promising therapeutic strategy in UC.

Indexed as

Colitis, UlcerativeDNA-Binding ProteinsLipid MetabolismLysosomesTranscription FactorsAnimalsDisease Models, AnimalGene Expression ProfilingHumansMiceMultiomicsDNA-Binding ProteinsTranscription Factorslipid metabolismlysosomemachine learningTRIM29ulcerative colitis

Identifiers

PMID41601651
PMCPMC12832330

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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.