Identification of Differentially Expressed Genes and Protein-Protein Interaction in Patients With COVID-19 and Diabetes Peripheral Neuropathy: A Bioinformatics and System Biology Approach
Fahim Alam Nobel, Mohammad Kamruzzaman, Mohammad Asaduzzaman, Mohammad Nasir Uddin, Hasib Ahammad, Mehedi Mahmudul Hasan, Tanu Rani Kar, Farha Matin Juliana, Golap Babu, Mohammod Johirul Islam

TL;DR
This study identifies genes and protein interactions linked to severe outcomes in patients with both COVID-19 and diabetes-related nerve damage.
Contribution
The study integrates transcriptomic data and system biology to uncover shared gene patterns and potential drug targets in comorbid patients.
Findings
Common differentially expressed genes were identified between COVID-19 and diabetic peripheral neuropathy patients.
Functional analysis revealed key biological pathways and potential therapeutic targets.
Hub genes and regulatory networks were determined through PPI network analysis.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact globally, resulting in a higher death toll and persistent health issues for survivors, particularly those with pre-existing medical conditions. Numerous studies have demonstrated a strong correlation between catastrophic COVID-19 results and diabetes. To gain deeper insights, we analysed the transcriptome dataset from COVID-19 and diabetic peripheral neuropathic patients. Using the R programming language, differentially expressed genes (DEGs) were identified and classified based on up and down regulations. The overlaps of DEGs were then explored between these groups. Functional annotation of those common DEGs was performed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Bio-Planet, Reactome, and Wiki pathways. A protein-protein interaction (PPI) network was created with bioinformatics…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsSARS-CoV-2 and COVID-19 Research · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19
