Evidence map›Paper›PMID 40384859›Full record

ArticleInternational journal of biological sciences2025

De-succinylation-induced accumulation of TRMT10C in the nucleus plays a detrimental role in coronary microembolization via its m1A modification function.

Chen-Kai Hu, Wan-Zhong Huang, Lei He, Chen Chang, Yan-Ling Ren, Ri-Xin Dai, Qiang Wu, Qiang Su

Abstract read
In one paragraph

Article in International journal of biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Targeting NSignal transduction and targeted therapy · 2026
    Article
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  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
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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

8 authors.

Chen-Kai HuDepartment of Cardiology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, Jiangxi Province, China.
Wan-Zhong HuangDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China.
Lei HeDepartment of Cardiology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, Jiangxi Province, China.
Chen ChangDepartment of Cardiology, Affiliated Hospital of Guilin Medical University, No. 15, Lequn Road, Guilin, Guangxi, 541001, China.
Yan-Ling RenDepartment of Cardiology, Affiliated Hospital of Guilin Medical University, No. 15, Lequn Road, Guilin, Guangxi, 541001, China.
Ri-Xin DaiDepartment of Cardiology, Affiliated Hospital of Guilin Medical University, No. 15, Lequn Road, Guilin, Guangxi, 541001, China.
Qiang WuSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China.
Qiang SuDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, No. 85 Hedi Road, Nanning, Guangxi, 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary microembolization (CME) refers to embolism in the coronary microcirculation. This study showed a reduction in succinyl transferase (CPT1A) and the succinylation substrate (succinyl-CoA) in cardiomyocytes in CME models, suppressing the succinylation of the mitochondrially localized protein TRMT10C. Suppression of succinylation promotes KPNA4 recognition of two nuclear localization signals (NLSs), KAKR and KKK(X)

Indexed as

Cell NucleusAnimalsHumansMitochondriaMyocytes, CardiacRatsReactive Oxygen SpeciesReactive Oxygen Speciescoronary microembolizationinflammationm1A modificationmitophagynuclear localizationsuccinylationTRMT10C

Identifiers

PMID40384859
PMCPMC12080399

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Registered trials

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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.