Meta-Analysis of Dilated Cardiomyopathy Using Cardiac RNA-Seq Transcriptomic Datasets

Area of Science:

• Cardiovascular Biology
• Genomics
• Molecular Biology

Background:

• Dilated cardiomyopathy (DCM) is a leading cause of heart failure.
• RNA-sequencing (RNA-seq) has been used to identify genes associated with DCM.
• Previous studies identified some differentially expressed genes (DEGs) in DCM.

Purpose of the Study:

• To perform a quantitative meta-analysis of RNA-seq data to identify gene expression signatures in DCM.
• To discover novel genes associated with DCM.
• To analyze pathways and upstream regulators involved in DCM.

Main Methods:

• Quantitative meta-analysis of three public RNA-seq datasets from human left ventricle tissues (41 DCM cases, 21 controls).
• Identification and analysis of differentially expressed genes (DEGs).
• Ingenuity Pathway Analysis (IPA) for pathway and upstream regulator identification.

Main Results:

• Identified 789 DEGs (581 downregulated, 208 upregulated) in DCM.
• Confirmed known DCM genes (e.g., MYH6, CKM, NKX2-5, ATP2A2) and identified 39 novel DEGs (e.g., PTH1R, ADAM15, S100A4).
• IPA revealed five activated toxicity pathways, with heart failure as the most significant; SMARCA4 was identified as a key downregulated upstream regulator.

Conclusions:

• This transcriptomic meta-analysis is the first of its kind for clinical DCM using RNA-seq data.
• Successfully identified a core set of genes associated with DCM.
• Provides novel insights into the molecular mechanisms underlying DCM and potential therapeutic targets.