Evidence map›Paper›PMID 41206387›Full record

ArticleCell death and differentiation2026

USP13 ameliorates diabetic cardiomyopathy via deubiquitinating NLRP3 and inhibiting pyroptosis in cardiomyocytes.

Diyun Xu, Jibo Han, Bozhi Ye, Liming Lin, Jiaji Chen, Yanhong Jin, Ying Zhao, Yi Wang, Peiren Shan, Guang Liang

Abstract read
In one paragraph

Article in Cell death and differentiation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Cardiomyocyte-Derived USP20 Attenuates Diabetic Cardiomyopathy by Facilitating the Degradation of STING and Mitigating STING-Mediated Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Review
  4. 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

10 authors.

Diyun XuDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jibo HanChemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-2305-3469
Bozhi YeDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-8713-0822
Liming LinChemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jiaji ChenDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yanhong JinDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ying ZhaoChemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yi WangChemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-9048-0092
Peiren ShanDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China. prshan@126.com.
Guang LiangDepartment of Cardiology and the Key Laboratory of Cardiovascular Disease of Wenzhou, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China. wzmcliangguang@163.com.ORCID http://orcid.org/0009-0005-1603-3223

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82270282National Natural Science Foundation of China (National Science Foundation of China) 82361138563National Natural Science Foundation of China (National Science Foundation of China) U24A20814Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LHDMY23H310001
6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a leading cause of diabetes-related mortality. Identifying new functional proteins in DCM pathology and elucidating the underlying mechanisms may provide new therapeutic targets for this disease. Here, we observed that the expression of the deubiquitinating enzyme USP13 was significantly downregulated in DCM mouse heart tissues. We discovered that the expression of USP13 was predominantly localized in cardiomyocytes. Cardiomyocyte-specific knockout of USP13 exacerbated myocardial injury in both type I and type II diabetic mice. Conversely, overexpression of USP13 in cardiomyocytes via recombinant adeno-associated virus 9 (AAV9) showed therapeutic effects against DCM in mice. Interestingly, using co-precipitation and LC-MS/MS analysis, we identified the NOD-like receptor family pyrin domain containing 3 (NLRP3) as a target protein of USP13 in cardiomyocytes. Mechanistically, we have illustrated that USP13 removes the K63-linked ubiquitin chain at K557 of NLRP3 to inhibit NLRP3-ASC interaction, thereby inhibiting ASC polymerization and the activation of NLRP3 inflammasome complex, ultimately alleviating pyroptosis in HG + PA challenged cardiomyocytes. Importantly, we showed that the cardioprotective effects of USP13 overexpression depended on NLRP3, as evidenced by the loss of protection in NLRP3-deficient diabetic mice. Taken together, this study identifies the protective impact and molecular regulation of USP13 in DCM pathology, uncovering a novel cardiomyocyte-specific USP13-NLRP3 axis in DCM.

Indexed as

Diabetic CardiomyopathiesMyocytes, CardiacNLR Family, Pyrin Domain-Containing 3 ProteinPyroptosisUbiquitin-Specific ProteasesAnimalsDiabetes Mellitus, ExperimentalHumansInflammasomesMaleMiceMice, Inbred C57BLMice, KnockoutUbiquitinationInflammasomesNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, mouseUbiquitin-Specific Proteases

Identifiers

PMID41206387
PMCPMC13156311

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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.