GEO combined with quantitative protein trait loci identify causative proteins in hypertrophic cardiomyopathy

Bo Li1,2, Xu Zhao3, Yan Ding2

  • 1Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.

ESC Heart Failure
|May 10, 2025
PubMed

Insights

This study identified two proteins, carbonic anhydrase 3 (CA3) and serpin family E member 1 (SERPINE1), causally linked to hypertrophic cardiomyopathy (HCM). These findings offer potential new biomarkers and therapeutic targets for this rare genetic heart disease.

Area of Science:

  • Cardiovascular Genetics
  • Proteomics
  • Rare Diseases

Background:

  • Hypertrophic cardiomyopathy (HCM) is a rare genetic heart condition with limited research and treatment options.
  • Identifying novel therapeutic targets and biomarkers is crucial for managing HCM.
  • Integrating multi-omics data offers a powerful approach to uncover disease-associated mechanisms.

Purpose of the Study:

  • To identify proteins causally associated with hypertrophic cardiomyopathy (HCM).
  • To leverage integrated analysis of cardiac gene expression and proteomic data.
  • To explore potential therapeutic targets and diagnostic markers for HCM.

Main Methods:

  • Analysis of Gene Expression Omnibus (GEO) cardiac tissue datasets (GSE36961, GSE180313) from HCM patients and controls.
  • Integration with protein quantitative trait locus (pQTL) data from UK Biobank.
  • Genome-wide association study (GWAS) data from the FinnGen study for HCM.
  • Two-sample Mendelian randomization (MR) analysis to assess causal relationships.
  • Sensitivity analyses for heterogeneity and horizontal pleiotropy.

Main Results:

  • Two proteins, carbonic anhydrase 3 (CA3) and serpin family E member 1 (SERPINE1), were identified as causally associated with HCM risk.
  • Both CA3 and SERPINE1 showed a significant association with increased odds of developing HCM.
  • Analyses confirmed no significant heterogeneity or horizontal pleiotropy, supporting the robustness of the findings.

Conclusions:

  • CA3 and SERPINE1 proteins demonstrate a potential causal role in the development of HCM.
  • These proteins may serve as valuable characteristic markers for HCM diagnosis.
  • CA3 and SERPINE1 represent promising targets for future therapeutic interventions in HCM.
Abstract

Related Concept Videos

Pleiotropy01:33

Pleiotropy

Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
38.1K
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
38
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.1K