Evidence mapPaperPMID 39267173Full record

ArticleJournal of translational medicine2024

Identification of macrophage driver genes in fibrosis caused by different heart diseases based on omics integration.

Yong-Zheng Zhang, Yang Wu, Meng-Jia Li, Aerzu Mijiti, Lu-Feng Cheng

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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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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.

Yong-Zheng ZhangDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, China.
Yang WuDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, China.
Meng-Jia LiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, China.
Aerzu MijitiDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, China.
Lu-Feng ChengDepartment of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, China. lfcheng@xjmu.edu.cn.

Funding

the 2024 Postgraduate Innovation Project of the Autonomous Region XJ2024G187
6 · The paper itself

Abstract

backgroundMyocardial fibrosis, a hallmark of heart disease, is closely associated with macrophages, yet the genetic pathophysiology remains incompletely understood. In this study, we utilized integrated single-cell transcriptomics and bulk RNA-seq analysis to investigate the relationship between macrophages and myocardial fibrosis across omics integration.

methodsWe examined and curated existing single-cell data from dilated cardiomyopathy (DCM), ischemic cardiomyopathy (ICM), myocardial infarction (MI), and heart failure (HF), and analyzed the integrated data using cell communication, transcription factor identification, high dimensional weighted gene co-expression network analysis (hdWGCNA), and functional enrichment to elucidate the drivers of macrophage polarization and the macrophage-to-myofibroblast transition (MMT). Additionally, we assessed the accuracy of single-cell data from the perspective of driving factors, cell typing, anti-fibrosis performance of left ventricular assist device (LVAD). Candidate drugs were screened using L1000FWD.

resultsAll four heart diseases exhibit myocardial fibrosis, with only MI showing an increase in macrophage proportions. Macrophages participate in myocardial fibrosis through various fibrogenic molecules, especially evident in DCM and MI. Abnormal RNA metabolism and dysregulated transcription are significant drivers of macrophage-mediated fibrosis. Furthermore, profibrotic macrophages exhibit M1 polarization and increased MMT. In HF patients, those responding to LVAD therapy showed a significant decrease in driver gene expression, M1 polarization, and MMT. Drug repurposing identified cinobufagin as a potential therapeutic agent.

conclusionUsing integrated single-cell transcriptomics, we identified the drivers of macrophage-mediated myocardial fibrosis in four heart diseases and confirmed the therapeutic effect of LVAD on improving HF with single-cell accuracy, providing novel insights into the diagnosis and treatment of myocardial fibrosis.

Indexed as

FibrosisHeart DiseasesMacrophagesGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenomicsHumansMyocardiumSingle-Cell AnalysisCardiomyopathyHeart failureMacrophageMyocardial fibrosisMyocardial infarction

Identifiers

PMID39267173
PMCPMC11391649

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.