Molecular and Clinical Investigations on Portuguese Patients with Multiple acyl-CoA Dehydrogenase Deficiency.


Journal

Current molecular medicine
ISSN: 1875-5666
Titre abrégé: Curr Mol Med
Pays: Netherlands
ID NLM: 101093076

Informations de publication

Date de publication:
2019
Historique:
received: 14 01 2019
revised: 08 04 2019
accepted: 09 04 2019
entrez: 17 8 2019
pubmed: 17 8 2019
medline: 22 8 2020
Statut: ppublish

Résumé

Multiple Acyl-CoA Dehydrogenase Deficiency (MADD) is a congenital rare metabolic disease with broad clinical phenotypes and variable evolution. This inborn error of metabolism is caused by mutations in the ETFA, ETFB or ETFDH genes, which encode for the mitochondrial ETF and ETF:QO proteins. A considerable group of patients has been described to respond positively to riboflavin oral supplementation, which constitutes the prototypic treatment for the pathology. To report mutations in ETFA, ETFB and ETFDH genes identified in Portuguese patients, correlating, whenever possible, biochemical and clinical outcomes with the effects of mutations on the structure and stability of the affected proteins, to better understand MADD pathogenesis at the molecular level. MADD patients were identified based on the characteristic urinary profile of organic acids and/or acylcarnitine profiles in blood spots during newborn screening. Genotypic, clinical and biochemical data were collected for all patients. In silico structural analysis was employed using bioinformatic tools carried out in an ETF:QO molecular model for the identified missense mutations. A survey describing clinical and biochemical features of eight Portuguese MADD patients was made. Genotype analysis identified five ETFDH mutations, including one extension (p.X618QextX*14), two splice mutations (c.34+5G>C and c.405+3A>T) and two missense mutations (ETF:QO-p.Arg155Gly and ETF:QO-p.Pro534Leu), and one ETFB mutation (ETFβ- p.Arg191Cys). Homozygous patients containing the ETFDH mutations p.X618QextX*14, c.34+5G>C and ETF:QO-p.Arg155Gly, all presented severe (lethal) MADD phenotypes. However, when any of these mutations are in heterozygosity with the known ETF:QO-p.Pro534Leu mild variant, the severe clinical effects are partly and temporarily attenuated. Indeed, the latter destabilizes an ETF-interacting loop, with no major functional consequences. However, the position 155 in ETF:QO is localized at the ubiquinone binding and membrane interacting domain, and is thus expected to perturb protein structure and membrane insertion, with severe functional effects. Structural analysis of molecular models is therefore demonstrated to be a valuable tool to rationalize the effects of mutations in the context of the clinical phenotype severity. Advanced molecular diagnosis, structural analysis and clinical correlations reveal that MADD patients harboring a severe prognosis mutation in one allele can actually revert to a milder phenotype by complementation with a milder mutation in the other allele. However, such patients are nevertheless in a precarious metabolic balance which can revert to severe fatal outcomes during catabolic stress or secondary pathology, thus requiring strict clinical follow-up.

Sections du résumé

BACKGROUND
Multiple Acyl-CoA Dehydrogenase Deficiency (MADD) is a congenital rare metabolic disease with broad clinical phenotypes and variable evolution. This inborn error of metabolism is caused by mutations in the ETFA, ETFB or ETFDH genes, which encode for the mitochondrial ETF and ETF:QO proteins. A considerable group of patients has been described to respond positively to riboflavin oral supplementation, which constitutes the prototypic treatment for the pathology.
OBJECTIVES
To report mutations in ETFA, ETFB and ETFDH genes identified in Portuguese patients, correlating, whenever possible, biochemical and clinical outcomes with the effects of mutations on the structure and stability of the affected proteins, to better understand MADD pathogenesis at the molecular level.
METHODS
MADD patients were identified based on the characteristic urinary profile of organic acids and/or acylcarnitine profiles in blood spots during newborn screening. Genotypic, clinical and biochemical data were collected for all patients. In silico structural analysis was employed using bioinformatic tools carried out in an ETF:QO molecular model for the identified missense mutations.
RESULTS
A survey describing clinical and biochemical features of eight Portuguese MADD patients was made. Genotype analysis identified five ETFDH mutations, including one extension (p.X618QextX*14), two splice mutations (c.34+5G>C and c.405+3A>T) and two missense mutations (ETF:QO-p.Arg155Gly and ETF:QO-p.Pro534Leu), and one ETFB mutation (ETFβ- p.Arg191Cys). Homozygous patients containing the ETFDH mutations p.X618QextX*14, c.34+5G>C and ETF:QO-p.Arg155Gly, all presented severe (lethal) MADD phenotypes. However, when any of these mutations are in heterozygosity with the known ETF:QO-p.Pro534Leu mild variant, the severe clinical effects are partly and temporarily attenuated. Indeed, the latter destabilizes an ETF-interacting loop, with no major functional consequences. However, the position 155 in ETF:QO is localized at the ubiquinone binding and membrane interacting domain, and is thus expected to perturb protein structure and membrane insertion, with severe functional effects. Structural analysis of molecular models is therefore demonstrated to be a valuable tool to rationalize the effects of mutations in the context of the clinical phenotype severity.
CONCLUSION
Advanced molecular diagnosis, structural analysis and clinical correlations reveal that MADD patients harboring a severe prognosis mutation in one allele can actually revert to a milder phenotype by complementation with a milder mutation in the other allele. However, such patients are nevertheless in a precarious metabolic balance which can revert to severe fatal outcomes during catabolic stress or secondary pathology, thus requiring strict clinical follow-up.

Identifiants

pubmed: 31418342
pii: CMM-EPUB-98402
doi: 10.2174/1566524019666190507114748
doi:

Substances chimiques

ETFA protein, human 0
ETFB protein, human 0
Electron-Transferring Flavoproteins 0
Iron-Sulfur Proteins 0
Acyl-CoA Dehydrogenase EC 1.3.8.7
Oxidoreductases Acting on CH-NH Group Donors EC 1.5.-
electron-transferring-flavoprotein dehydrogenase EC 1.5.5.1
Riboflavin TLM2976OFR

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

487-493

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Bárbara J Henriques (BJ)

Biosystems and Integrative Sciences Institute, Faculdade de Ciencias, Universidade de Lisboa, and Departamento de Quimica e Bioquimica, Faculdade de Ciencias, 1749-016 Lisboa, Portugal.

Tânia G Lucas (TG)

Biosystems and Integrative Sciences Institute, Faculdade de Ciencias, Universidade de Lisboa, and Departamento de Quimica e Bioquimica, Faculdade de Ciencias, 1749-016 Lisboa, Portugal.

Esmeralda Martins (E)

Centro de Referencia na area de Doencas Hereditarias do Metabolismo, Centro Hospitalar do Porto - CHP, Porto, Portugal.

Ana Gaspar (A)

Unidade de Doencas Metabolicas, Centro Hospitalar Lisboa Norte - Hospital Santa Maria, Lisboa, Portugal.

Anabela Bandeira (A)

Centro de Referencia na area de Doencas Hereditarias do Metabolismo, Centro Hospitalar do Porto - CHP, Porto, Portugal.

Célia Nogueira (C)

Unidade de Rastreio Neonatal, Metabolismo e Genetica, Departamento de Genetica Humana - Instituto Nacional de Saude Doutor Ricardo Jorge, Porto, Portugal.

Otilia Brandão (O)

Servico de Patologia Clinica, Hospital Sao Joao, Porto, Portugal.

Hugo Rocha (H)

Unidade de Rastreio Neonatal, Metabolismo e Genetica, Departamento de Genetica Humana - Instituto Nacional de Saude Doutor Ricardo Jorge, Porto, Portugal.

Laura Vilarinho (L)

Unidade de Rastreio Neonatal, Metabolismo e Genetica, Departamento de Genetica Humana - Instituto Nacional de Saude Doutor Ricardo Jorge, Porto, Portugal.

Cláudio M Gomes (CM)

Biosystems and Integrative Sciences Institute, Faculdade de Ciencias, Universidade de Lisboa, and Departamento de Quimica e Bioquimica, Faculdade de Ciencias, 1749-016 Lisboa, Portugal.

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Classifications MeSH