Computational Analysis of Deleterious nsSNPs in IINS/I Gene Associated with Permanent Neonatal Diabetes Mellitus

Insulin gene mutations affect the structure of insulin and are considered a leading cause of neonatal diabetes and permanent neonatal diabetes mellitus PNDM. These mutations can affect the production and secretion of insulin, resulting in inadequate insulin levels and subsequent hyperglycemia. Early...

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Veröffentlicht in:Journal of personalized medicine 2024-04, Vol.14 (4)
Hauptverfasser: Ahmed, Elsadig Mohamed, Elangeeb, Mohamed E, Adam, Khalid Mohamed, Abuagla, Hytham Ahmed, MohamedAhmed, Abubakr Ali Elamin, Ali, Elshazali Widaa, Eltieb, Elmoiz Idris, Edris, Ali M, Ali Osman, Hiba Mahgoub, Idris, Ebtehal Saleh, Khalil, Khalil A. A
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container_issue 4
container_start_page
container_title Journal of personalized medicine
container_volume 14
creator Ahmed, Elsadig Mohamed
Elangeeb, Mohamed E
Adam, Khalid Mohamed
Abuagla, Hytham Ahmed
MohamedAhmed, Abubakr Ali Elamin
Ali, Elshazali Widaa
Eltieb, Elmoiz Idris
Edris, Ali M
Ali Osman, Hiba Mahgoub
Idris, Ebtehal Saleh
Khalil, Khalil A. A
description Insulin gene mutations affect the structure of insulin and are considered a leading cause of neonatal diabetes and permanent neonatal diabetes mellitus PNDM. These mutations can affect the production and secretion of insulin, resulting in inadequate insulin levels and subsequent hyperglycemia. Early discovery or prediction of PNDM can aid in better management and treatment. The current study identified potential deleterious non-synonymous single nucleotide polymorphisms nsSNPs in the INS gene. The analysis of the nsSNPs in the INS gene was conducted using bioinformatics tools by implementing computational algorithms including SIFT, PolyPhen2, SNAP2, SNPs & GO, PhD-SNP, MutPred2, I-Mutant, MuPro, and HOPE tools to investigate the prediction of the potential association between nsSNPs in the INS gene and PNDM. Three mutations, C96Y, P52R, and C96R, were shown to potentially reduce the stability and function of the INS protein. These mutants were subjected to MDSs for structural analysis. Results suggested that these three potential pathogenic mutations may affect the stability and functionality of the insulin protein encoded by the INS gene. Therefore, these changes may influence the development of PNDM. Further researches are required to fully understand the various effects of mutations in the INS gene on insulin synthesis and function. These data can aid in genetic testing for PNDM to evaluate its risk and create treatment and prevention strategies in personalized medicine.
doi_str_mv 10.3390/jpm14040425
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The analysis of the nsSNPs in the INS gene was conducted using bioinformatics tools by implementing computational algorithms including SIFT, PolyPhen2, SNAP2, SNPs &amp; GO, PhD-SNP, MutPred2, I-Mutant, MuPro, and HOPE tools to investigate the prediction of the potential association between nsSNPs in the INS gene and PNDM. Three mutations, C96Y, P52R, and C96R, were shown to potentially reduce the stability and function of the INS protein. These mutants were subjected to MDSs for structural analysis. Results suggested that these three potential pathogenic mutations may affect the stability and functionality of the insulin protein encoded by the INS gene. Therefore, these changes may influence the development of PNDM. Further researches are required to fully understand the various effects of mutations in the INS gene on insulin synthesis and function. 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source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access
subjects Algorithms
Amino acids
Analysis
Diabetes
Gene mutations
Infants (Newborn)
Insulin
Single nucleotide polymorphisms
title Computational Analysis of Deleterious nsSNPs in IINS/I Gene Associated with Permanent Neonatal Diabetes Mellitus
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