Evidence mapPaperPMID 42450316Full record

ArticleInternational journal of molecular sciences2026

Cross-Species Identification and Validation of Hub Genes and Potential Therapeutic Targets in Myocardial Infarction.

Zhiyong Sheng, Qiang Li, Mingyu Bao, Wenjing Wang, Zitong Chen, Jiali Guo

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. 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

6 authors.

Zhiyong ShengSchool of Life Science, Bengbu Medical University, Bengbu 233030, China.
Qiang LiSchool of Life Science, Bengbu Medical University, Bengbu 233030, China.
Mingyu BaoSchool of Life Science, Bengbu Medical University, Bengbu 233030, China.
Wenjing WangSchool of Medical Information and Engineering, Bengbu Medical University, Bengbu 233030, China.
Zitong ChenSchool of Life Science, Bengbu Medical University, Bengbu 233030, China.
Jiali GuoSchool of Life Science, Bengbu Medical University, Bengbu 233030, China.

Funding

Anhui Provincial Department of Education 202410367020Anhui Provincial Department of Education 2024AH051202Anhui Provincial Department of Education YZ2024D01Bengbu Medical College 2024byzd119
6 · The paper itself

Abstract

Myocardial infarction (MI) is a leading cause of mortality worldwide. Identification of robust and translatable molecular markers remains challenging due to inter-dataset and inter-species variability. In this study, we performed a cross-species integrative analysis to identify conserved hub genes and potential therapeutic targets in MI. Analysis revealed five hub genes (IL6, SERPINE1, MMP14, PLAUR, and ENO1), which were consistently validated across human peripheral blood and multiple animal models. A multigene diagnostic model demonstrated strong predictive performance (AUC = 0.904). The model was developed to distinguish myocardial infarction (MI) samples from non-MI control samples in an independent peripheral blood dataset. Drug-gene interaction analysis identified candidate therapeutic compounds. These results are computational predictions from the DGIdb database and do not represent validated therapeutic effects in myocardial infarction. These findings highlight conserved molecular mechanisms of MI and provide potential biomarkers and therapeutic targets with translational relevance.

Indexed as

Gene Regulatory NetworksMyocardial InfarctionAnimalsBiomarkersGene Expression ProfilingHumansSpecies SpecificityBiomarkersbiomarkerscross-species analysisdiagnostic modelhub genesmyocardial infarctionROCtherapeutic targets

Identifiers

PMID42450316
PMCPMC13362447

What Socratic holds

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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 Socratic graph.