Clinically significant findings of high-risk mutations in human SLC29A4 gene associated with diabetes mellitus type 2 in Pakistani population.


Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
2022
Historique:
pubmed: 24 9 2021
medline: 28 12 2022
entrez: 23 9 2021
Statut: ppublish

Résumé

This study conducted an in-depth analysis combining computational and experimental verifications of the deleterious missense mutations associated with the SLC29A4 protein. The functional annotation of the non-synonymous single nucleotide polymorphism (nsSNPs), followed by structure-function analysis, revealed 13 single nucleotide polymorphisms (SNP) as the most damaging. Among these, six mutants P429T/S, L144S, M108V, N86H, and V79E, were predicted as structurally and functionally damaging by protein stability analysis. Also, these variants are located at evolutionary conserved regions, either buried, contributing to the structural damage, or exposed, causing functional changes in the protein. These mutants were further taken for molecular docking studies. When verified via experimental analysis, the SNPs M108V (rs149798710), N86H (rs151039853), and V79E (rs17854505) showed an association with type 2 diabetes mellitus (T2DM). Minor allele frequency for rs149798710 (A > G) was 0.23 in controls, 0.29 in metformin responders, 0.37 in metformin non-responder, for rs151039853 (A > C) was 0.21 in controls, 0.28 in metformin responders, 0.36 in metformin non-responder and for rs17854505 (T > A) was 0.20 in controls, 0.25 in metformin responders, 0.37 in metformin non-responder. Hence, this study concludes that SLC29A4 M108V (rs149798710), N86H (rs151039853), and V79E (rs17854505) polymorphisms were associated with the increased risk of T2DM as well as with the increased risk towards the failure of metformin therapeutic response in T2DM patients of Pakistan. Communicated by Ramaswamy H. Sarma.

Identifiants

pubmed: 34551672
doi: 10.1080/07391102.2021.1975561
doi:

Substances chimiques

Metformin 9100L32L2N
SLC29A4 protein, human 0
Equilibrative Nucleoside Transport Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12660-12673

Auteurs

Sadaf Moeez (S)

Department of Bioinformatics & Biotechnology, International Islamic University (IIUI), Islamabad, Pakistan.

Sumbul Khalid (S)

Department of Bioinformatics & Biotechnology, International Islamic University (IIUI), Islamabad, Pakistan.

Sania Shaeen (S)

Department of Bioinformatics & Biotechnology, International Islamic University (IIUI), Islamabad, Pakistan.

Madiha Khalid (M)

PMAS Arid Agriculture University, Rawalpindi, Pakistan.

Asima Zia (A)

Department of Biosciences, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Asma Gul (A)

Department of Bioinformatics & Biotechnology, International Islamic University (IIUI), Islamabad, Pakistan.

Rauf Niazi (R)

Department of Medicine, Pakistan Institute of Medical Sciences, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan.

Zoya Khalid (Z)

Computational Biology research lab, Department of computer science, National University of Computer and Emerging Sciences, NUCES-FAST, Islamabad, Pakistan.

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Classifications MeSH