Discovery of biomarker panels for neural dysfunction in inborn errors of amino acid metabolism.

Patients with inborn errors of amino acid metabolism frequently show neuropsychiatric symptoms despite accurate metabolic control. This study aimed to gain insight into the underlying mechanisms of neural dysfunction. Here we analyzed the expression of brain-derived neurotrophic factor (BDNF) and 10...

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Detalles Bibliográficos
Autores: Castells, Aina-Alba, Gueraldi, Daniela, Balada Caballé, Rafael, Tristán Noguero, Alba, Cortès i Saladelafont, Elisenda, Ramos, Federico, Meavilla, Silvia, De Los Santos, Mariela, Garcia-Volpe, Camila, Colomé, Roser, Couce, María Luz, Sierra, Cristina, Ormazabal Herrero, Aida, Batllori, Marta, Artuch Iriberri, Rafael, Armstrong, Judith, Alcántara Horrillo, Soledad, Garcia-Cazorla, Àngels
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/162604
Acceso en línea:https://hdl.handle.net/2445/162604
Access Level:acceso abierto
Palabra clave:Errors congènits del metabolisme
Aminoàcids
Neuropsiquiatria
Lesions cerebrals
Inborn errors of metabolism
Amino acids
Neuropsychiatry
Brain damage
Descripción
Sumario:Patients with inborn errors of amino acid metabolism frequently show neuropsychiatric symptoms despite accurate metabolic control. This study aimed to gain insight into the underlying mechanisms of neural dysfunction. Here we analyzed the expression of brain-derived neurotrophic factor (BDNF) and 10 genes required for correct brain functioning in plasma and blood of patients with Urea Cycle Disorders (UCD), Maple Syrup Urine Disease (MSUD) and controls. Receiver-operating characteristic (ROC) analysis was used to evaluate sensitivity and specificity of potential biomarkers. CACNA2D2 (α2δ2 subunit of voltage-gated calcium channels) and MECP2 (methyl-CpG binding protein 2) mRNA and protein showed an excellent neural function biomarker signature (AUC ≥ 0,925) for recognition of MSUD. THBS3 (thrombospondin 3) mRNA and AABA gave a very good biomarker signature (AUC 0,911) for executive-attention deficits. THBS3, LIN28A mRNA, and alanine showed a perfect biomarker signature (AUC 1) for behavioral and mood disorders. Finally, a panel of BDNF protein and at least two large neural AAs showed a perfect biomarker signature (AUC 1) for recognition of psychomotor delay, pointing to excessive protein restriction as central causative of psychomotor delay. To conclude, our study has identified promising biomarker panels for neural function evaluation, providing a base for future studies with larger samples.

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