Evidence map›Paper›PMID 42261922›Full record

ArticleJournal of the American Heart Association2026

Identification of Centrosome Duplication-Related Biomarkers in Hypertrophic Cardiomyopathy Through Integrative Multi-Omics, Single-Cell Transcriptomics, and Experimental Validation.

Huigan Li, Weihua Liu, Xun Huang, Zhigang You, Lin Huang

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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

5 authors.

Huigan LiDepartment of Medical Genetics, The Second Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi China.
Weihua LiuDepartment of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi China.
Xun HuangDepartment of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi China.ORCID 0009-0005-7559-7686
Zhigang YouDepartment of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi China.
Lin HuangDepartment of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College Nanchang University Nanchang Jiangxi China.ORCID 0009-0000-8784-1061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) is a prevalent inherited cardiovascular disorder characterized by ventricular wall thickening and myocardial fibrosis. Centrosome duplication-related gene play critical roles in cell cycle regulation, microtubule organization, and cellular structural homeostasis; however, their mechanistic involvement in HCM remains unclear.

methodsAn integrative multi-omics strategy was used, incorporating differential expression analysis, weighted gene co-expression network analysis, Mendelian randomization), and multiple machine-learning models to identify centrosome duplication-related genes associated with HCM. Single-cell RNA sequencing was used to assess cell-type-specific expression patterns, followed by in vitro functional assays in cardiomyocytes.

resultsTwo candidate biomarkers,

conclusionsThis study suggests a potential association between centrosome duplication-related gene dysregulation and HCM pathogenesis and identifies

Indexed as

Cardiomyopathy, HypertrophicCentrosomeMyocytes, CardiacTranscriptomeVesicular Transport ProteinsAnimalsApoptosisBiomarkersCell ProliferationGene Expression ProfilingHumansMultiomicsSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBiomarkersVesicular Transport Proteinsbiomarkerscentrosome duplicationhypertrophic cardiomyopathyMendelian randomizationsingle‐cell transcriptomics

Identifiers

PMID42261922
PMCPMC13323813

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.