Evidence map›Paper›PMID 41603949›Full record

ArticleActa diabetologica2026

A TFAP4-UBC9-SUMO1 axis orchestrates pathological mitochondrial hyperfission in diabetic complications.

Zhiyu Jin, Ying Jiang, Dayun Tao, Zunyan Li, Xiuling He, Hao Zhou, Hang Zhu, Lina Ren

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Article in Acta diabetologica, 2026. 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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1 citing paper in PubMed.

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5 · Who and what money

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8 authors.

Zhiyu Jin *Department of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Ying Jiang *Department of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Dayun Tao *Senior Department of Cardiology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, 100048, China.
Zunyan LiSenior Department of Cardiology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, 100048, China.
Xiuling HeDepartment of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Hao ZhouDepartment of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Hang ZhuDepartment of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China. zhuhang301@outlook.com.ORCID http://orcid.org/0000-0002-8167-110X
Lina RenDepartment of Cardiology, School of Medicine, South China University of Technology, Guangzhou, 510006, China. vmxtt8@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial failure is a cornerstone of diabetic organ damage. While it is well understood that shattered mitochondria (excessive fission) and aggressive cleanup (mitophagy) drive this deterioration, the upstream genetic "switches" that trigger these processes remain unclear. This study investigates whether a specific regulatory chain the TFAP4-UBC9-SUMO1 axis orchestrates this mitochondrial breakdown in diabetic tissues.

methodsWe analyzed transcriptomic data from four independent cohorts (GEO datasets: GSE1009, GSE4745, GSE6880, and GSE133598) covering diabetic renal and cardiac tissues. By integrating differential expression analysis with functional enrichment tools (GO, KEGG, and GSEA), we mapped the molecular landscape connecting cellular stress to mitochondrial dynamics and metabolic remodeling.

resultsOur analysis revealed a synchronized stress response across all datasets rather than isolated gene changes. Diabetic tissues exhibited a distinct upregulation of pathways related to protein SUMOylation, mitochondrial organization, and ER stress. Specifically, the data showed a convergence of signals indicating chronic "Protein processing in the endoplasmic reticulum" and sustained "Mitophagy," accompanied by broad shifts in lipid and energy metabolism. These signatures suggest that the machinery responsible for SUMO-modifying proteins is hyperactive and tightly linked to mitochondrial clearance programs.

conclusionThe transcriptomic evidence supports a model where TFAP4 acts as a transcriptional driver that boosts UBC9 and SUMO1 expression. This upregulation likely fuels the SUMO-dependent modification of DRP1, locking mitochondria in a state of hyper-fission and forcing the cell into excessive self-eating (mitophagy). The TFAP4-UBC9-SUMO1 axis thus represents a critical, yet overlooked, engine of mitochondrial depletion and offers a promising new target for halting diabetic complications.

Indexed as

Diabetes ComplicationsDNA-Binding ProteinsMitochondriaSUMO-1 ProteinTranscription FactorsUbiquitin-Conjugating EnzymesAnimalsHumansUbiquitin-Conjugating Enzyme UBC9DNA-Binding ProteinsSUMO-1 ProteinTranscription FactorsUbiquitin-Conjugating EnzymesUbiquitin-Conjugating Enzyme UBC9Diabetic complicationsDRP1Mitochondrial dysfunctionMitochondrial fissionMitophagySUMOylationTranscriptomic analysis

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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.