Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning

Yolanda Sánchez-Carro,Alejandro de la Torre-Luque,Itziar Leal-Leturia,Neus Salvat-Pujol,Clara Massaneda,Aida de Arriba-Arnau,Mikel Urretavizcaya,Victor Pérez-Solà,Alba Toll,Antonio Martínez-Ruiz,Raquel Ferreirós-Martínez,Salvador Pérez,Juan Sastre,Pilar Álvarez,Virginia Soria,Pilar López-García

Progress in Neuro-Psychopharmacology and Biological Psychiatry（2023）

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摘要

•Differences in inflammatory and oxidative stress biomarkers are found in some patients with major depressive disorder.•With the application of supervised machine learning algorithms, major depressive patients were optimally classified.•The study of immunometabolic biomarkers and lifestyle variables can help to disentangle the clinical heterogeneity of major depression.

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关键词

Major depressive disorder,Inflammation,Oxidative stress,Metabolic syndrome,Lifestyle habits,Machine learning

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