Dataset Information

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

ABSTRACT:

Background

Acute 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.

Methods

We 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.

Results

In 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.

Conclusion

Our 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.

SUBMITTER: Chen Q

PROVIDER: S-EPMC7871627 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

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

Chen Qixin Q Yin Qijin Q Song Junxian J Liu Chuanfen C Chen Hong H Li Sufang S

BMC medical genomics 20210209 1

<h4>Background</h4>Acute 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.<h4>Methods</h4>We performed weighted gene co-expression network analysis (WGCNA) on transcriptomics o ...[more]

PMID: 33563285

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Project description:Importance:Hospitals in the United States have been subject to mandatory public reporting of mortality rates for acute myocardial infarction (AMI) and heart failure (HF) since 2007 and to value-based payment programs for these conditions since 2011. However, whether hospitals with initially poor baseline performance have improved relative to other hospitals under these programs, and whether patterns of improvement differ by condition, is unknown. Understanding trends within public reporting and value-based payment can inform future efforts in these areas. Objective:To examine patterns in 30-day mortality from AMI and HF and determine whether they differ for baseline poor performers (worst quartile in 2009 and 2010 in public reporting, prior to value-based payment) compared with other hospitals. Design, Setting, and Participants:Retrospective cross-sectional study at US acute care hospitals from 2009 to 2015 that included 2751 and 3796 hospitals with publicly reported mortality data for AMI and HF, respectively. Exposures:Public reporting and value-based purchasing. Main Outcomes and Measures:Hospital-level risk-adjusted 30-day mortality rates. Results:We identified 422 and 600 baseline poor-performing hospitals for AMI and HF, respectively. Baseline poor performers for AMI were more often public and for-profit and less often teaching hospitals. Baseline poor performers for HF were less often large hospitals. For AMI, 30-day mortality among baseline poor performers was higher at baseline but improved more over time compared with other hospitals (18.6% in 2009 to 14.6% in 2015; -0.74% per year; P?<?.001 vs 15.7% in 2009 to 14.0% in 2015; -0.26% per year; P?<?.001; P for interaction <.001). In contrast, for HF, baseline poor performers improved over time (13.5%-13.0%; -0.12% per year; P?<?.001), but mean mortality among all other HF hospitals increased during the study period (10.9%-12.0%; 0.17% per year; P?<?.001; P for interaction, <.001). Conclusions and Relevance:Despite being subject to identical policy pressures, mortality trends for AMI and HF differed markedly between 2009 and 2015.

Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

Similar Datasets

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