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https://hdl.handle.net/2445/162604
Title: | Discovery of biomarker panels for neural dysfunction in inborn errors of amino acid metabolism. |
Author: | 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, Maria Luz Sierra, Cristina Ormazabal Herrero, Aida Batllori, Marta Artuch Iriberri, Rafael Armstrong, Judith Alcántara Horrillo, Soledad Garcia-Cazorla, Àngels |
Keywords: | Errors congènits del metabolisme Aminoàcids Neuropsiquiatria Lesions cerebrals Inborn errors of metabolism Amino acids Neuropsychiatry Brain damage |
Issue Date: | 24-Jun-2019 |
Publisher: | Nature Publishing Group |
Abstract: | 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1038/s41598-019-45674-2 |
It is part of: | Scientific Reports, 2019, vol. 9, p. 9128 |
URI: | https://hdl.handle.net/2445/162604 |
Related resource: | https://doi.org/10.1038/s41598-019-45674-2 |
ISSN: | 2045-2322 |
Appears in Collections: | Articles publicats en revistes (Patologia i Terapèutica Experimental) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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