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Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach

BACKGROUND: Methylmalonic acidemia (MMA) is a rare metabolic disorder resulting from functional defects in methylmalonyl-CoA mutase. Mutations in the MMAB gene are responsible for the cblB type of vitamin B12-responsive MMA. RESULTS: This study used Whole-exome sequencing (WES), Sanger sequencing, l...

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Autores principales: Maryami, Fereshteh, Rismani, Elham, Davoudi-Dehaghani, Elham, Khalesi, Nasrin, Motlagh, Fatemeh Zafarghandi, Kordafshari, Alireza, Talebi, Saeed, Rahimi, Hamzeh, Zeinali, Sirous
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226198/
https://www.ncbi.nlm.nih.gov/pubmed/37248539
http://dx.doi.org/10.1186/s41065-023-00281-0
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author Maryami, Fereshteh
Rismani, Elham
Davoudi-Dehaghani, Elham
Khalesi, Nasrin
Motlagh, Fatemeh Zafarghandi
Kordafshari, Alireza
Talebi, Saeed
Rahimi, Hamzeh
Zeinali, Sirous
author_facet Maryami, Fereshteh
Rismani, Elham
Davoudi-Dehaghani, Elham
Khalesi, Nasrin
Motlagh, Fatemeh Zafarghandi
Kordafshari, Alireza
Talebi, Saeed
Rahimi, Hamzeh
Zeinali, Sirous
author_sort Maryami, Fereshteh
collection PubMed
description BACKGROUND: Methylmalonic acidemia (MMA) is a rare metabolic disorder resulting from functional defects in methylmalonyl-CoA mutase. Mutations in the MMAB gene are responsible for the cblB type of vitamin B12-responsive MMA. RESULTS: This study used Whole-exome sequencing (WES), Sanger sequencing, linkage analysis, and in-silico evaluation of the variants’ effect on protein structure and function to confirm their pathogenicity in a 2-day-old neonate presenting an early-onset metabolic crisis and death. WES revealed a homozygous missense variant on chromosome 12, the NM_052845.4 (MMAB):c.557G > A, p.Arg186Gln, in exon 7, a highly conserved and hot spot region for pathogenic variants. After being confirmed by Sanger sequencing, the wild-type and mutant proteins’ structure and function were modeled and examined using in-silico bioinformatics tools and compared to the variant NM_052845.4 (MMAB):c.556C > T, p.Arg186Trp, a known pathogenic variant at the same position. Comprehensive bioinformatics analysis showed a significant reduction in the stability of variants and changes in protein–protein and ligand–protein interactions. Interestingly, the variant c.557G > A, p.Arg186Gln depicted more variations in the secondary structure and less binding to the ATP and B12 ligands compared to the c.556C > T, p.Arg186Trp, the known pathogenic variant. CONCLUSION: This study succeeded in expanding the variant spectra of the MMAB, forasmuch as the variant c.557G > A, p.Arg186Gln is suggested as a pathogenic variant and the cause of severe MMA and neonatal death. These results benefit the prenatal diagnosis of MMA in the subsequent pregnancies and carrier screening of the family members. Furthermore, as an auxiliary technique, homology modeling and protein structure and function evaluations could provide geneticists with a more accurate interpretation of variants’ pathogenicity. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-102261982023-05-30 Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach Maryami, Fereshteh Rismani, Elham Davoudi-Dehaghani, Elham Khalesi, Nasrin Motlagh, Fatemeh Zafarghandi Kordafshari, Alireza Talebi, Saeed Rahimi, Hamzeh Zeinali, Sirous Hereditas Research BACKGROUND: Methylmalonic acidemia (MMA) is a rare metabolic disorder resulting from functional defects in methylmalonyl-CoA mutase. Mutations in the MMAB gene are responsible for the cblB type of vitamin B12-responsive MMA. RESULTS: This study used Whole-exome sequencing (WES), Sanger sequencing, linkage analysis, and in-silico evaluation of the variants’ effect on protein structure and function to confirm their pathogenicity in a 2-day-old neonate presenting an early-onset metabolic crisis and death. WES revealed a homozygous missense variant on chromosome 12, the NM_052845.4 (MMAB):c.557G > A, p.Arg186Gln, in exon 7, a highly conserved and hot spot region for pathogenic variants. After being confirmed by Sanger sequencing, the wild-type and mutant proteins’ structure and function were modeled and examined using in-silico bioinformatics tools and compared to the variant NM_052845.4 (MMAB):c.556C > T, p.Arg186Trp, a known pathogenic variant at the same position. Comprehensive bioinformatics analysis showed a significant reduction in the stability of variants and changes in protein–protein and ligand–protein interactions. Interestingly, the variant c.557G > A, p.Arg186Gln depicted more variations in the secondary structure and less binding to the ATP and B12 ligands compared to the c.556C > T, p.Arg186Trp, the known pathogenic variant. CONCLUSION: This study succeeded in expanding the variant spectra of the MMAB, forasmuch as the variant c.557G > A, p.Arg186Gln is suggested as a pathogenic variant and the cause of severe MMA and neonatal death. These results benefit the prenatal diagnosis of MMA in the subsequent pregnancies and carrier screening of the family members. Furthermore, as an auxiliary technique, homology modeling and protein structure and function evaluations could provide geneticists with a more accurate interpretation of variants’ pathogenicity. GRAPHICAL ABSTRACT: [Image: see text] BioMed Central 2023-05-29 /pmc/articles/PMC10226198/ /pubmed/37248539 http://dx.doi.org/10.1186/s41065-023-00281-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Maryami, Fereshteh
Rismani, Elham
Davoudi-Dehaghani, Elham
Khalesi, Nasrin
Motlagh, Fatemeh Zafarghandi
Kordafshari, Alireza
Talebi, Saeed
Rahimi, Hamzeh
Zeinali, Sirous
Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title_full Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title_fullStr Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title_full_unstemmed Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title_short Identifying and predicting the pathogenic effects of a novel variant inducing severe early onset MMA: a bioinformatics approach
title_sort identifying and predicting the pathogenic effects of a novel variant inducing severe early onset mma: a bioinformatics approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226198/
https://www.ncbi.nlm.nih.gov/pubmed/37248539
http://dx.doi.org/10.1186/s41065-023-00281-0
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