Evidence mapPaperPMID 39363266Full record

ArticleBMC genomics2024

A combined analysis of bulk RNA-seq and scRNA-seq was performed to investigate the molecular mechanisms associated with the occurrence of myocardial infarction.

Zheng Xie, Huicong Xie, Chen Xie, Saichao Yang, Yun Feng, Zhaohai Su, Tao Tang, Bilong Zhang, Jiangyong Yang, Yueting Wang and 6 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Elevated ASGR1 as a Potential Diagnostic Biomarker for Coronary Artery Disease and Predictor of Adverse Outcomes in Hypertensive Patients.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  4. Review
  5. Article
  6. 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

16 authors.

Zheng XieDepartment of General Practice, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Huicong XieDepartment of General Practice, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Chen XieDepartment of General Practice, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Saichao YangDepartment of General Practice, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Yun FengDepartment of General Practice, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Zhaohai SuDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Tao TangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Bilong ZhangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Jiangyong YangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Yueting WangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Ling HuangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Hengqing ZhuDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Jun CaoDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Rengui JiangDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China.
Tian LiSchool of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Weiling LuDepartment of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), 49 Dagong Road, Ganzhou, 341000, China. onlybei11@163.com.

Funding

General Project of Key R&D Program of Ganzhou City, Jiangxi Province 202101124510Natural Science Foundation of Jiangxi Province 20212BAB216072Science and Technology Program Project of Jiangxi Provincial Administration of Traditional Chinese Medicine SZYY2020A0305
6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) induces complex transcriptional changes across diverse cardiac cell types. Single-cell RNA sequencing (scRNA-seq) provides an unparalleled ability to discern cellular diversity during infarction, yet the veracity of these discoveries necessitates confirmation. This investigation sought to elucidate MI mechanisms by integrating scRNA-seq and bulk RNA-seq data.

methodsPublicly available scRNA-seq (GSE136088) and bulk RNA-seq (GSE153485) data from mice MI models were analyzed. Cell types were annotated, and differential expression analysis conducted. Bulk RNA-seq underwent quality control, principal component analysis, and differential expression analysis.

resultsIn scRNA-seq data, the comparison between MI and sham groups unveiled a reduction in endothelial cell populations, but macrophages and monocytes increased. Within fibroblast subgroups, three distinct categories were discerned, with two exhibiting upregulation in MI. Notably, endothelial cells exhibited an elevated expression of genes associated with apoptosis and ferroptosis. In bulk RNA-seq analysis, distinct patterns emerged when comparing MI and sham groups. Specifically, six genes linked to endothelial ferroptosis exhibited heightened expression in MI group, thereby corroborating the scRNA-seq findings. Moreover, the examination of isolated cardiac macrophages from mice MI model revealed increased expression of Spp1, Col1a2, Col3a1, Ctsd, and Lgals3 compared to sham group, thus substantiating the dysregulation of macrophage apoptosis-related proteins following MI.

conclusionMI altered the transcriptomic landscapes of cardiac cells with increased expression of apoptotic genes. Moreover, the upregulation of macrophage apoptosis marker was confirmed within MI models. The presence of endothelial cell depletion and ferroptosis in MI has been demonstrated.

Indexed as

Myocardial InfarctionRNA-SeqSingle-Cell AnalysisAnimalsEndothelial CellsGene Expression ProfilingMacrophagesMiceSequence Analysis, RNASingle-Cell Gene Expression AnalysisTranscriptomeFerroptosisFibroblastMacrophageMyocardial infarctionscRNA-seq

Identifiers

PMID39363266
PMCPMC11448016

What Socratic holds

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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.