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Identifying and Predicting the Pathogenic Effects of a Novel Variant Inducing Severe Early Onset MMA: a Bioinformatics Approach

Overview
Journal Hereditas
Specialty Genetics
Date 2023 May 29
PMID 37248539
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Abstract

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.

Citing Articles

Bioinformatics in Neonatal/Pediatric Medicine-A Literature Review.

Rallis D, Baltogianni M, Kapetaniou K, Kosmeri C, Giapros V J Pers Med. 2024; 14(7).

PMID: 39064021 PMC: 11277633. DOI: 10.3390/jpm14070767.

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