Genomics landscape of mitochondrial DNA variations in patients from South Italy affected by mitochondriopathies.

Deep sequencing Mitochondrial DNA Molecular signature Protein 3D structure molecular analysis

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
06 Jan 2024
Historique:
received: 09 10 2023
revised: 20 12 2023
accepted: 04 01 2024
medline: 13 1 2024
pubmed: 13 1 2024
entrez: 12 1 2024
Statut: aheadofprint

Résumé

Mitochondrial DNA (mtDNA) is a 16,569 base pairs, double-stranded, circular molecule that contains 37 genes coding for 13 subunits of the respiratory chain plus 2 rRNAs and 22 tRNAs. Mutations in these genes have been identified in patients with a variety of disorders affecting every system in the body. The advent of next generation sequencing technologies has provided the possibility to perform the whole mitochondrial DNA sequencing, allowing the identification of disease-causing pathogenic variants in a single platform. In this study, the whole mtDNA of 100 patients from South Italy affected by mitochondrial diseases was analyzed by using an amplicon-based approach and then the enriched libraries were deeply sequenced on the ION Torrent platform (Thermofisher Scientific Waltham, MA, USA). After bioinformatics analysis and filtering, we were able to find 26 nonsynonymous variants with a MAF <1% that were associated with different pathological phenotypes, expanding the mutational spectrum of these diseases. Moreover, among the new mutations found, we have also analyzed the 3D structure of the MT-ATP6 A200T gene variation in order to confirm suspected functional alterations. This work brings light on new variants possibly associated with several mitochondriopathies in patients from South Italy and confirms that deep sequencing approach, compared to the standard methods, is a reliable and time-cost reducing strategy to detect all the variants present in the mitogenome, making the possibility to create a genomics landscape of mitochondrial DNA variations in human diseases.

Identifiants

pubmed: 38215527
pii: S0022-510X(24)00004-2
doi: 10.1016/j.jns.2024.122869
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122869

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Luigi Citrigno (L)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy. Electronic address: luigi.citrigno@irib.cnr.it.

Antonio Qualtieri (A)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Annamaria Cerantonio (A)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Selene De Benedittis (S)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Olivier Gallo (O)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Gemma Di Palma (G)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Patrizia Spadafora (P)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Francesca Cavalcanti (F)

Institute for Biomedical Research and Innovation (IRIB), Department of Biomedical Sciences, National Research Council (CNR), Mangone (CS), Italy.

Classifications MeSH