Molecular Diagnosis in an Argentinean Mitochondrial Disorders Cohort

• Autor(a) principal: Martinez,Nerina
• Data de Publicação: 2021
• Outros Autores: Rosales,Julieta, Medina,Nancy, Perez-Maturo,Josefina, Salinas,Valeria, Zavala,Lucia, Vega,Patricia, Rodríguez-Quiroga,Sergio, Morón,Dolores González-, Kauffman,Marcelo A.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Journal of Inborn Errors of Metabolism and Screening
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2326-45942021000100302
• topic: Mitochondrial diseases; Molecular diagnostic; Algorithm

Abstract Mitochondrial diseases are multisystemic disorders characterized by an impairment of the mitochondrial respiratory chain. Diagnosis requires an approach that involves a high index of suspicion, molecular techniques and a careful selection of the tissue to be studied. Our goal was to develop and implement local strategies for diagnosing mitochondrial disorders, by standardizing procedures of molecular biology and nucleic acid sequencing. A prospective, analytical, observational study was conducted in a cohort of, a total of 82 patients with suspected mitochondrial disorder who were treated at our hospital between May 2008 and June 2019. We developed molecular diagnostic tools that included classical monogenic techniques and Next Generation Sequencing. We characterized the neurological and extra neurological manifestations noted in our cohort. Following the proposed algorithm, we obtained a molecular diagnostic performance of 54%, identifying mutations in 44 patients. mtDNA mutations were identified in 34 patients. Structural rearrangements in mitochondrial genome were found in 3 and 7 in nuclear genes, respectively. Our results confirm the utility of the proposed algorithm and the molecular tools used, as evidenced by a high diagnostic performance. This is of great value to a more efficient and comprehensive medical care of patients and families affected by mitochondrial disorders.