Key result
Empagliflozin treatment in HFrEF patients identified 42 differentially expressed genes, with machine learning pinpointing GTF2IP14 and MTLN as hub genes.
Why the study?
This study aimed to analyze the hub genes of HFrEF treated with empagliflozin using RNA-seq and bioinformatics methods, including machine learning.
What are the transcriptomic changes and hub genes associated with empagliflozin treatment in patients with HFrEF?
What are the transcriptomic changes and hub genes associated with empagliflozin treatment in patients with HFrEF?
Empagliflozin treatment in HFrEF is associated with transcriptomic changes, identifying GTF2IP14 and MTLN as potential hub genes related to immune inflammatory responses.
Empagliflozin-related transcriptomic shifts in HFrEF remain exploratory; leaves open mechanistic relevance pending larger validation.
Purpose: This study aimed to analyze the hub genes of heart failure with reduced ejection fraction (HFrEF) treated with Empagliflozin using RNA sequencing (RNA-seq) and bioinformatics methods, including machine learning. Methods: From February 2021 to February 2023, nine patients with HFrEF were enrolled from our hospital’s cardiovascular department. In addition to routine drug treatment, these patients received 10 mg of Empagliflozin once daily for two months. Efficacy was assessed and RNA-seq was performed on peripheral blood before and after treatment with empagliflozin. HFrEF-related hub genes were identified through bioinformatics analyses including differential gene expression analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, immune infiltration analysis, machine learning, immune cell correlation analysis and clinical indicator correlation analysis. Results: The nine patients included in this study completed a two-month treatment regimen, with an average age of 62.11 ± 6.36 years. By performing bioinformatics analysis on the transcriptome from the treatment groups, 42 differentially expressed genes were identified, with six being up-regulated and 36 being down-regulated (|log2FC|> 1 and adj.pvalue< 0.05). Immune infiltration analysis of these genes demonstrated a significant difference in the proportion of plasma between the pre-treatment and post-treatment groups ( p < 0.05). Two hub genes, GTF2IP14 and MTLN, were finally identified through machine learning. Further analysis of the correlation between the hub genes and immune cells suggested a negative correlation between GTF2IP14 and naive B cells, and a positive correlation between MTLN and regulatory T cells and resting memory CD4+ T cells ( p < 0.05). Conclusion: Through RNA-seq and bioinformatics analysis, this study identified GTF2IP14 and MTLN as the hub genes of HFrEF, and their mechanisms may be related to immune inflammatory responses and various immune cells.
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Yang et al. (2023) studied Heart failure with reduced ejection fraction (HFrEF) (n=9). Empagliflozin vs. Pre-treatment baseline was evaluated on Differentially expressed genes (p=< 0.05). Empagliflozin treatment in HFrEF patients identified 42 differentially expressed genes, with machine learning pinpointing GTF2IP14 and MTLN as hub genes.
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