Bioinformatics and Systems Biology Approaches to Identify the Synergistic Effects of Alcohol Use Disorder on the Progression of Neurological Diseases.

Autor: Alam MJ; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh; Center for Advanced Bioinformatics and Artificial Intelligence Research, Islamic University, Kushtia 7003, Bangladesh., Rahman MH; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh; Center for Advanced Bioinformatics and Artificial Intelligence Research, Islamic University, Kushtia 7003, Bangladesh. Electronic address: habib@iu.ac.bd., Hossain MA; Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Bangladesh; Department of Microbiology, Primeasia University, Banani, Dhaka 1213, Bangladesh., Hoque MR; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh., Aktaruzzaman M; Department of Computer Science and Engineering, Islamic University, Kushtia 7003, Bangladesh.
Jazyk: angličtina
Zdroj: Neuroscience [Neuroscience] 2024 Apr 05; Vol. 543, pp. 65-82. Date of Electronic Publication: 2024 Feb 23.
DOI: 10.1016/j.neuroscience.2024.02.015
Abstrakt: Clinical investigations showed that individuals with Alcohol Use Disorder (AUD) have worse Neurological Disease (ND) development, pointing to possible pathogenic relationships between AUD and NDs. It remains difficult to identify risk factors that are predisposing between AUD and NDs. In order to fix these issues, we created the bioinformatics pipeline and network-based approaches for employing unbiased methods to discover genes abnormally stated in both AUD and NDs and to pinpoint some of the common molecular pathways that might underlie AUD and ND interaction. We found 100 differentially expressed genes (DEGs) in both the AUD and ND patient's tissue samples. The most important Gene Ontology (GO) terms and metabolic pathways, including positive control of cytotoxicity caused by T cells, proinflammatory responses, antigen processing and presentation, and platelet-triggered interactions with vascular and circulating cell pathways were then extracted using the overlapped DEGs. Protein-protein interaction analysis was used to identify hub proteins, including CCL2, IL1B, TH, MYCN, HLA-DRB1, SLC17A7, and HNF4A, in the pathways that have been reported as playing a function in these disorders. We determined several TFs (HNF4A, C4A, HLA-B, SNCA, HLA-DMB, SLC17A7, HLA-DRB1, HLA-C, HLA-A, and HLA-DPB1) and potential miRNAs (hsa-mir-34a-5p, hsa-mir-34c-5p, hsa-mir-449a, hsa-mir-155-5p, and hsa-mir-1-3p) were crucial for regulating the expression of AUD and ND which could serve as prospective targets for treatment. Our methodologies discovered unique putative biomarkers that point to the interaction between AUD and various neurological disorders, as well as pathways that could one day be the focus of therapeutic intervention.
(Copyright © 2024 IBRO. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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