Publications by authors named "Shivakumar Kotrashetti"
Article Synopsis
- Heart failure (HF) is a leading cause of cardiovascular-related deaths, and there is an urgent need for novel biomarkers to aid in its diagnosis and treatment.
- Researchers analyzed a dataset of HF and normal control samples to identify differentially expressed genes (DEGs) using next-generation sequencing and various bioinformatics tools.
- A total of 930 DEGs were discovered, with significant findings in metabolic processes and pathways; 10 hub genes critical to HF diagnosis were identified, including key proteins like HSP90AA1 and EGFR, which may serve as potential biomarkers for further studies.
A subject with diabetes and obesity is a class of the metabolic disorder. The current investigation aimed to elucidate the potential biomarker and prognostic targets in subjects with diabetes and obesity. The next-generation sequencing (NGS) data of GSE132831 was downloaded from Gene Expression Omnibus (GEO) database.
View Article and Find Full Text PDFIntroduction: Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) infections (COVID 19) is a progressive viral infection that has been investigated extensively. However, genetic features and molecular pathogenesis underlying remdesivir treatment for SARS-CoV-2 infection remain unclear. Here, we used bioinformatics to investigate the candidate genes associated in the molecular pathogenesis of remdesivir-treated SARS-CoV-2-infected patients.
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