Evidence map›Paper›PMID 40746991›Full record

ArticleiScience2025

TRIM13 prevents cardiomyocyte injury by affecting apoptosis through interacting with CD3D in myocardial infarction.

Feipeng Wu, Xiandong Zheng, Qiyan Wu, Liju Hong, Lei Yue, Rui Yang, Dandan Chen, Youjun Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Feipeng WuDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Xiandong ZhengDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Qiyan WuDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Liju HongDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Lei YueDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Rui YangDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Dandan ChenDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.
Youjun ZhouDepartment of Nuclear Medicine, The Affiliated Yan'an Hospital of Kunming Medical University, No.245 East Renmin Road, Kunming 650051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) is a common cardiovascular disease with a high risk of sudden death. We aim to develop potential and more effective therapeutic strategies for treating and preventing MI. A mouse model of MI was established, and cardiac tissue sample microarray data and GSE236374 dataset were collected to screen and 120 upregulation and 15 downregulation genes were obtained, and related to T cells and cell immunity. Further obtained 7 key genes, including Cd8b1, Pdcd1, Klrd1, Klrk1, Cd3g, Cd74, and Cd3d, and had high expression in MI mice. The ceRNA regulation network found that protein TRIM13 was upstream of CD3D.

Indexed as

BiochemistryBiological sciencesNatural sciencesPathophysiologyPhysiology

Identifiers

PMID40746991
PMCPMC12311959

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.