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Updated: Jun 21, 2026
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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Layered functional network analysis of gene expression in human heart failure
Wenliang Zhu1, Lei Yang, Zhimin Du
1Institute of Clinical Pharmacology, The Second Affiliated Hospital of Harbin Medical University, The University Key laboratory of Hei Long Jiang Province, Heilongjiang, China.
Plos One
|July 25, 2009
Summary
This study reveals how protein interactions in different cell locations contribute to ischemic dilated cardiomyopathy (ICM). Analyzing layered protein networks identifies potential therapeutic targets like the Jak-STAT pathway for heart failure treatment.
Area of Science:
- Cardiovascular Research
- Systems Biology
- Genomics
Background:
- Dilated cardiomyopathy (DCM) is a major cause of heart failure (HF), but its mechanisms remain unclear.
- Integrative analysis of gene expression and protein-protein interaction (PPI) networks offers insights into disease mechanisms.
- Ischemic dilated cardiomyopathy (ICM) is a primary form of DCM, necessitating deeper mechanistic understanding.
Purpose of the Study:
- To develop a systems approach for understanding ICM mechanisms.
- To link gene expression data with a layered PPI network.
- To investigate the utility of layered PPI networks over traditional ones for DCM insights.
Main Methods:
- Utilized Cytoscape plugins (BionetBuilder, NetworkAnalyzer, Cerebral, GenePro) to construct a layered PPI network.
- Incorporated validated subcellular protein localization data from HRPD and Entrez Gene databases.
- Performed gene ontology (GO) analysis using DAVID function annotation clustering tool.
Main Results:
- Layered PPI network comprised extracellular, plasma membrane, cytoplasm, and nucleus layers.
- Gene expression patterns differed across layers: down-regulated genes predominated in extracellular/plasma membrane, up-regulated in cytoplasm/nucleus.
- GO analysis indicated up-regulated genes are linked to nuclear/cytoplasmic processes, down-regulated to extracellular/membrane processes.
- Identified the Janus family tyrosine kinase-signal transducer and activator of transcription (Jak-STAT) signaling pathway as a potential therapeutic target for ICM.
- Glycogen synthase kinase 3 beta (GSK3B) was also suggested as a potential target, requiring further validation.
Conclusions:
- Incorporating subcellular localization into PPI network analysis enhances understanding of ICM mechanisms.
- Layered PPI network analysis provides deeper insights into disease mechanisms compared to traditional PPI networks.
- Identified key signaling pathways and proteins that could be targeted for ICM therapy.
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