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) |
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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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A</creator><creatorcontrib>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</creatorcontrib><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.</description><identifier>ISSN: 2075-4426</identifier><identifier>EISSN: 2075-4426</identifier><identifier>DOI: 10.3390/jpm14040425</identifier><language>eng</language><publisher>MDPI AG</publisher><subject>Algorithms ; Amino acids ; Analysis ; Diabetes ; Gene mutations ; Infants (Newborn) ; Insulin ; Single nucleotide polymorphisms</subject><ispartof>Journal of personalized medicine, 2024-04, Vol.14 (4)</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ahmed, Elsadig Mohamed</creatorcontrib><creatorcontrib>Elangeeb, Mohamed E</creatorcontrib><creatorcontrib>Adam, Khalid Mohamed</creatorcontrib><creatorcontrib>Abuagla, Hytham Ahmed</creatorcontrib><creatorcontrib>MohamedAhmed, Abubakr Ali Elamin</creatorcontrib><creatorcontrib>Ali, Elshazali Widaa</creatorcontrib><creatorcontrib>Eltieb, Elmoiz Idris</creatorcontrib><creatorcontrib>Edris, Ali M</creatorcontrib><creatorcontrib>Ali Osman, Hiba Mahgoub</creatorcontrib><creatorcontrib>Idris, Ebtehal Saleh</creatorcontrib><creatorcontrib>Khalil, Khalil A. A</creatorcontrib><title>Computational Analysis of Deleterious nsSNPs in IINS/I Gene Associated with Permanent Neonatal Diabetes Mellitus</title><title>Journal of personalized medicine</title><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.</description><subject>Algorithms</subject><subject>Amino acids</subject><subject>Analysis</subject><subject>Diabetes</subject><subject>Gene mutations</subject><subject>Infants (Newborn)</subject><subject>Insulin</subject><subject>Single nucleotide polymorphisms</subject><issn>2075-4426</issn><issn>2075-4426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNptjE9rAjEQxUNpoWI99QsEel7Nn81m97hoqwvWCnqXbDJrI7uJmEjpt2-gPXjoPJgZHu_9EHqmZMp5RWan80BzksTEHRoxIkWW56y4v_kf0SSEE0lTCsYKMkLnuR_O16ii9U71uE7rO9iAfYcX0EOEi_XXgF3YbbYBW4ebZrObNXgJDnAdgtdWRTD4y8ZPvIXLoBy4iDeQcDEBF1a1iRLwO_S9jdfwhB461QeY_N0x2r-97uerbP2xbOb1OjsWkmWyUlQr0xlaGZW3NFe6JSUYxk3JDdVME8MLKllLVMmllFxAy5kRDKgyVPIxevnFHlUPB-s6Hy9KDzboQy0rLgSrKpZS039SSQYGq72Dzib_pvADrclr7A</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Ahmed, Elsadig Mohamed</creator><creator>Elangeeb, Mohamed E</creator><creator>Adam, Khalid Mohamed</creator><creator>Abuagla, Hytham Ahmed</creator><creator>MohamedAhmed, Abubakr Ali Elamin</creator><creator>Ali, Elshazali Widaa</creator><creator>Eltieb, Elmoiz Idris</creator><creator>Edris, Ali M</creator><creator>Ali Osman, Hiba Mahgoub</creator><creator>Idris, Ebtehal Saleh</creator><creator>Khalil, Khalil A. A</creator><general>MDPI AG</general><scope/></search><sort><creationdate>20240401</creationdate><title>Computational Analysis of Deleterious nsSNPs in IINS/I Gene Associated with Permanent Neonatal Diabetes Mellitus</title><author>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. 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A</creatorcontrib><jtitle>Journal of personalized medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Elsadig Mohamed</au><au>Elangeeb, Mohamed E</au><au>Adam, Khalid Mohamed</au><au>Abuagla, Hytham Ahmed</au><au>MohamedAhmed, Abubakr Ali Elamin</au><au>Ali, Elshazali Widaa</au><au>Eltieb, Elmoiz Idris</au><au>Edris, Ali M</au><au>Ali Osman, Hiba Mahgoub</au><au>Idris, Ebtehal Saleh</au><au>Khalil, Khalil A. A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational Analysis of Deleterious nsSNPs in IINS/I Gene Associated with Permanent Neonatal Diabetes Mellitus</atitle><jtitle>Journal of personalized medicine</jtitle><date>2024-04-01</date><risdate>2024</risdate><volume>14</volume><issue>4</issue><issn>2075-4426</issn><eissn>2075-4426</eissn><abstract>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.</abstract><pub>MDPI AG</pub><doi>10.3390/jpm14040425</doi></addata></record> |
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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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