Evidence map›Paper›PMID 33563285›Full record

ArticleBMC medical genomics2021

Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction.

Qixin Chen, Qijin Yin, Junxian Song, Chuanfen Liu, Hong Chen, Sufang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  19. Immune cells in cardiac repair and regeneration.Development (Cambridge, England) · 2022
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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 at 2 institutions in 1 country.

Qixin Chen *Department of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, No 11. Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Qijin Yin *Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing, 100084, China.
Junxian Song *Department of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, No 11. Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Chuanfen LiuDepartment of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, No 11. Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Hong ChenDepartment of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, No 11. Xizhimen South Street, Xicheng District, Beijing, 100044, China. chenhongbj@medmail.com.cn.
Sufang LiDepartment of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, No 11. Xizhimen South Street, Xicheng District, Beijing, 100044, China. lsf@bjmu.edu.cn.ORCID 0000-0002-3904-0881
Peking University · CNTsinghua University · CN

Funding

National Natural Science Foundation of China 81600340National Natural Science Foundation of China 81770356National Natural Science Foundation of China 81970301National Natural Science Foundation of China 82070519Natural Science Foundation of Beijing Municipality 7202218the Capital Health Research and Development of Special 2020-2-4084
6 · The paper itself

Abstract

backgroundAcute myocardial infarction (AMI) is a major contributor of heart failure (HF). Peripheral blood mononuclear cells (PBMCs), mainly monocytes, are the essential initiators of AMI-induced HF. The powerful biomarkers for early identification of AMI patients at risk of HF remain elusive. We aimed to identify monocyte-related critical genes as predictive biomarkers for post-AMI HF.

methodsWe performed weighted gene co-expression network analysis (WGCNA) on transcriptomics of PBMCs from AMI patients who developed HF or did not. Functional enrichment analysis of genes in significant modules was performed via Metascape. Then we obtained the single-cell RNA-sequencing data of recruited monocytes/macrophages from AMI and control mice using the Scanpy and screened 381 differentially expressed genes (DEGs) between the two groups. We validated the expression changes of the 25 genes in cardiac macrophages from AMI mice based on bulk RNA-sequencing data and PBMCs data mentioned above.

resultsIn our study, the results of WGCNA showed that two modules containing 827 hub genes were most significantly associated with post-AMI HF, which mainly participated in cell migration, inflammation, immunity, and apoptosis. There were 25 common genes between DEGs and hub genes, showing close relationship with inflammation and collagen metabolism. CUX1, CTSD and ADD3 exhibited consistent changes in three independent studies. Receiver operating characteristic curve analysis showed that each of the three genes had excellent performance in recognizing post-AMI HF patients.

conclusionOur findings provided a set of three monocyte-related biomarkers for the early prediction of HF development after AMI as well as potential therapeutic targets of post-AMI HF.

Indexed as

BiomarkersHeart FailureMonocytesMyocardial InfarctionAnimalsGene Expression ProfilingGene Regulatory NetworksHumansMaleMiceTranscriptomeBiomarkersAcute myocardial infarctionBiomarkerHeart failureMonocyteSystems biology

Identifiers

PMID33563285
PMCPMC7871627
OpenAlexW3127767403

What OpenQuestion 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 OpenQuestion graph.