Evidence map›Paper›PMID 39802510›Full record

ArticleJournal of inflammation research2025

Bioinformatics-Based Exploration of the Ability of Ginkgetin to Alleviate the Senescence of Cardiomyocytes After Myocardial Infarction and Its Cardioprotective Effects.

Han Li, Dongsheng Wei, Huimin Cao, Yelei Han, Luzhen Li, Yuting Liu, Jiajie Qi, Xinyue Wu, Zhe Zhang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. 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

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Cardioprotective Potential ofCurrent drug targets · 2026
    Article
  4. Ethyl acetate extract fromFrontiers in pharmacology · 2026
    Article
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

9 authors.

Han Li *The First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.ORCID 0009-0008-7052-7349
Dongsheng Wei *Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Huimin CaoKey Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Yelei HanThe First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Luzhen LiThe First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Yuting LiuThe First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Jiajie QiThe First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Xinyue WuThe First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Zhe ZhangKey Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Myocardial infarction (MI) is a prevalent cardiovascular disorder affecting individuals worldwide. There is a need to identify more effective therapeutic agents to minimize cardiomyocyte damage and enhance cardioprotection. Methods: Bioinformatics analysis was performed to predict the underlying biological mechanisms of ginkgetin in the treatment of MI. Next, we performed further validation through experiments. For in vivo studies, we used coronary ligation to construct an MI rat model. In vitro, oxygen and glucose deprivation (OGD) was performed to simulate ischemia in H9c2 cardiomyocytes. Results: Bioinformatics analysis revealed that the key targets of ginkgetin for MI treatment were MMP2, MMP9, and VEGFA. Immune infiltration analysis revealed that ginkgetin might be involved in immune regulation by acting on the TCR signaling pathway. The results of the GO enrichment analysis revealed that ginkgetin might protect the heart by acting on the cell membrane to alleviate the senescent apoptosis of cardiomyocytes after MI. In vivo studies revealed that ginkgetin ameliorated myocardial pathological damage and cardiac decompensation after MI. It also alleviated the inflammatory infiltration and senescent apoptosis of cardiomyocytes after MI. Additionally, ginkgetin can downregulate the activation signals of the TCR signaling pathway by dephosphorylating CD3 and CD28. In vitro studies revealed that ginkgetin attenuated elevated OGD-induced cytotoxicity, increased cell viability, and alleviated OGD-induced senescent apoptosis, thus protecting cardiomyocytes. Conclusion: Ginkgetin inhibits postinfarction myocardial fibrosis and cardiomyocyte hypertrophy, scavenges oxygen free radicals, decreases postinfarction limbic cell inflammatory infiltration, suppresses activation of the inflammatory-immune pathway, and delays postinfarction peripheral cells from undergoing senescent apoptosis, thus protecting the heart.

Indexed as

ginkgetinimmune infiltrationmyocardial infarctionsenescence-associated secretory phenotypeTCR signaling pathway

Identifiers

PMID39802510
PMCPMC11724673

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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.