AI Article Synopsis

  • Hypertrophic cardiomyopathy can lead to severe cardiovascular issues, and the study aims to identify protein biomarkers that can predict major adverse cardiovascular events (MACE) in affected patients.
  • Researchers conducted a study involving plasma proteomics profiling on nearly 250 patients, developing a predictive model using data from one group and validating it with another.
  • Results showed the predictive model had a high accuracy rate (0.81) and identified significant pathways, including the MAPK and TGF-β pathways, which were linked to the development of MACE.

Article Abstract

Background: Hypertrophic cardiomyopathy often causes major adverse cardiovascular events (MACE), for example, arrhythmias, stroke, heart failure, and sudden cardiac death. Currently, there are no models available to predict MACE. Furthermore, it remains unclear which signaling pathways mediate MACE. Therefore, we aimed to prospectively determine protein biomarkers that predict MACE in hypertrophic cardiomyopathy and to identify signaling pathways differentially regulated in patients who subsequently develop MACE.

Methods: In this multi-centre prospective cohort study of patients with hypertrophic cardiomyopathy, we conducted plasma proteomics profiling of 4979 proteins upon enrollment. We developed a proteomics-based model to predict MACE using data from one institution (training set). We tested the predictive ability in independent samples from the other institution (test set) and performed time-to-event analysis. Additionally, we executed pathway analysis of predictive proteins using a false discovery rate threshold of <0.001.

Results: The study included 245 patients (n=174 in the training set and n=71 in the test set). Using the proteomics-based model to predict MACE derived from the training set, the area under the receiver-operating-characteristic curve was 0.81 (95% CI, 0.68-0.93) in the test set. In the test set, the high-risk group determined by the proteomics-based predictive model had a significantly higher rate of developing MACE (hazard ratio, 13.6 [95% CI, 1.7-107]; =0.01). The -MAPK (mitogen-activated protein kinase) pathway was upregulated in patients who subsequently developed MACE (false discovery rate<1.0×10). Pathways involved in inflammation and fibrosis-for example, the TGF (transforming growth factor)-β pathway-were also upregulated.

Conclusions: This study serves as the first to demonstrate the ability of proteomics profiling to predict MACE in hypertrophic cardiomyopathy, exhibiting both novel (eg, -MAPK) and known (eg, TGF-β) pathways differentially regulated in patients who subsequently experience MACE.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771902PMC
http://dx.doi.org/10.1161/CIRCGEN.121.003546DOI Listing

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