Key result
Bioinformatics analysis of 253 samples identified 376 differentially expressed genes, highlighting ASB14, CD163, and CCL5 as potential biomarkers for heart failure.
Case-Control (n=253)
Bioinformatics analysis of gene expression profiles identified ASB14, CD163, and CCL5 as potential novel biomarkers for ischemic cardiomyopathic heart failure.
Should not yet change practice; leaves open ASB14, CD163, and CCL5 as heart failure biomarkers pending human validation.
In this study, we identified candidate biomarkers for heart failure (HF). The gene expression profile GSE57338, containing 117 ischemic cardiomyopathic HF and 136 control samples, was downloaded and analyzed using various bioinformatics approaches. In total, 376 differentially expressed genes (DEGs) were identified, and four modules were explored in protein-protein interaction networks. DEGs (including ankyrin repeat and SOCS box-containing 14 [ASB14]) in the modules were mainly categorized by the function. Several relationships including interferon regulatory factor 1 (IRF1)-C-C motif chemokine ligand 5 (CCL5) were revealed in the transcription factor microRNA target gene regulatory network. Gene-drug analysis revealed 11 DEGs (such as the cluster of differentiation 163 [CD163]) for the target drugs. Data verification analysis identified 118 overlapping DEGs including ASB14, CD163, and CCL5. ASB14 may be involved in HF progression via protein ubiquitination and CCL5 may be involved in HF via the IRF1-CCL5 interaction. Genes including CD163 are potential biomarkers for HF.
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Wang et al. (2018) conducted a case-control in Heart failure (n=253). Ischemic cardiomyopathic heart failure vs. Control samples was evaluated on Differentially expressed genes (DEGs). Bioinformatics analysis of 253 samples identified 376 differentially expressed genes, highlighting ASB14, CD163, and CCL5 as potential biomarkers for heart failure.
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