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Isolated methylmalonic acidemia in Mexico: Genotypic spectrum, report of two novel MMUT variants and a possible synergistic heterozygosity effect.

Authors :
Fernández-Lainez C
Vela-Amieva M
Reyna-Fabián M
Fernández-Hernández L
Guillén-López S
López-Mejía L
Alcántara-Ortigoza MÁ
González-Del Angel A
Carrillo-Nieto RI
Ortega-Valdez E
Rojas-Maruri M
Ridaura-Sanz C
Source :
Molecular genetics and metabolism reports [Mol Genet Metab Rep] 2024 Oct 16; Vol. 41, pp. 101155. Date of Electronic Publication: 2024 Oct 16 (Print Publication: 2024).
Publication Year :
2024

Abstract

Isolated methylmalonic acidemia (iMMA) is a group of monogenic metabolic disorders affecting methylmalonate and cobalamin metabolism. Five iMMA-responsible genes have been described to date: MMUT (MIM *609058), MMAA (MIM *607481, MMAB (MIM *607568), MMADHC (MIM *611935), and MCEE (MIM *608419). Although iMMA is the most common form of organic acidemia reported in Mexico, its genotypic spectrum is still largely unknown. We performed a clinical exome analysis on 42 unrelated Mexican patients with iMMA. MMUT deficiency accounted for 73.8 % of all cases, followed by MMAA (14.2 %), MMAB (7.2 %), and MMADHC (2.4 %) deficiencies. One patient presented MMUT and MMAA double heterozygosity, which should be further experimentally confirmed to prove that synergistic heterozygosity could be another inheritance mechanism in iMMA. The most frequent MMUT genotype involved the Hispanic variant NM_000255.4:c. [322C > T];[322C > T] or p.[Arg108Cys];[Arg108Cys] (14.3 %). Two novel MMUT variants, NM_000255.4:c.589G > A or p.(Ala197Thr) and c.1476C > A or p.(Tyr492*), were identified in a deceased newborn presenting the neonatal-onset severe form of the disease. In silico protein modeling of the p.(Arg108Cys) and novel p.(Ala197Thr) MMUT variants suggested disruption of the substrate-binding and catalytic domains of the protein, respectively. This study expands the current knowledge on the molecular spectrum of iMMA in the Mexican population and reinforces the importance of genetic analysis in guiding clinical management.<br />Competing Interests: None.<br /> (© 2024 The Authors. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
2214-4269
Volume :
41
Database :
MEDLINE
Journal :
Molecular genetics and metabolism reports
Publication Type :
Academic Journal
Accession number :
39494389
Full Text :
https://doi.org/10.1016/j.ymgmr.2024.101155