Identification of ALDH18A1 as a Therapeutic Target in Type 2 Diabetes Mellitus via Integrated Bioinformatics Approaches

Type 2 diabetes mellitus (T2DM) is a multifactorial condition that is characterized by a range of physiological abnormalities leading to hyperglycemia and can lead to serious complications affecting various organs. These complications, such as cardiovascular diseases, neuropathy, nephropathy and retinopathy, significantly impact quality of life and can lead to severe outcomes if not properly managed. This study leverages publicly available genomic datasets to identify potential therapeutic targets for T2DM. We identified 215 genes that were differentially expressed from three different microarray datasets obtained from the Gene Expression Omnibus database. Hub gene analysis of the protein-protein interaction network revealed that aldehyde dehydrogenase 18 family member A1 (ALDH18A1) is a key candidate for further investigation. Molecular docking demonstrated the binding affinities of the natural compound galioside and the FDA-approved drug formoterol for ALDH18A1, with docking scores of –7.13 kcal/mol and –7.21 kcal/mol, respectively. These findings were further supported by drug-likeness analysis, followed by 200 ns molecular dynamics (MD) simulations that confirmed the stability of the ALDH18A1-ligand complexes, indicating that these compounds could maintain effective binding under physiological conditions. Our identification of ALDH18A1 as a key molecular player in T2DM pathogenesis, coupled with the discovery that the structurally diverse compounds galioside and formoterol exhibit stable binding affinities, opens new avenues for therapeutic interventions, offering a novel dual-target strategy to modulate ALDH18A1 activity and mitigate the complications of T2DM.

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Journal
Journal of Computational Biophysics and Chemistry
Published
2025-04-26
DOI
https://doi.org/10.1142/s2737416525500589
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Identification of ALDH18A1 as a Therapeutic Target in Type 2 Diabetes Mellitus via Integrated Bioinformatics Approaches

Mahendra Rai, Sanjiban Chakrabarty, Sandeep Mallya, Budheswar Dehury et al.
1 citations
Journal of Computational Biophysics and Chemistry
Computational Drug Discovery Methods
1.50
article

Identification of ALDH18A1 as a Therapeutic Target in Type 2 Diabetes Mellitus via Integrated Bioinformatics Approaches

Mahendra Rai, Sanjiban Chakrabarty, Sandeep Mallya, Budheswar Dehury, Neha S. Gandhi, Prathiksha Devadiga, Vadavalasa Pavani
article en
1 citations

Abstract

Type 2 diabetes mellitus (T2DM) is a multifactorial condition that is characterized by a range of physiological abnormalities leading to hyperglycemia and can lead to serious complications affecting various organs. These complications, such as cardiovascular diseases, neuropathy, nephropathy and retinopathy, significantly impact quality of life and can lead to severe outcomes if not properly managed. This study leverages publicly available genomic datasets to identify potential therapeutic targets for T2DM. We identified 215 genes that were differentially expressed from three different microarray datasets obtained from the Gene Expression Omnibus database. Hub gene analysis of the protein-protein interaction network revealed that aldehyde dehydrogenase 18 family member A1 (ALDH18A1) is a key candidate for further investigation. Molecular docking demonstrated the binding affinities of the natural compound galioside and the FDA-approved drug formoterol for ALDH18A1, with docking scores of –7.13 kcal/mol and –7.21 kcal/mol, respectively. These findings were further supported by drug-likeness analysis, followed by 200 ns molecular dynamics (MD) simulations that confirmed the stability of the ALDH18A1-ligand complexes, indicating that these compounds could maintain effective binding under physiological conditions. Our identification of ALDH18A1 as a key molecular player in T2DM pathogenesis, coupled with the discovery that the structurally diverse compounds galioside and formoterol exhibit stable binding affinities, opens new avenues for therapeutic interventions, offering a novel dual-target strategy to modulate ALDH18A1 activity and mitigate the complications of T2DM.

Journal of Computational Biophysics and ChemistryVol. 25(04)
Manipal Academy of Higher Education (IN)
Zero hunger
Openalex Percentile: Top 17%
Computational Drug Discovery Methods
1.50
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