Unveiling the Connection between Microbiota and Depressive Disorder through Machine Learning.

Angelova, Irina Y; Kovtun, Alexey S; Averina, Olga V; Koshenko, Tatiana A; Danilenko, Valery N

Angelova, Irina Y; Kovtun, Alexey S; Averina, Olga V; Koshenko, Tatiana A; Danilenko, Valery N.

Afiliação

Angelova IY; Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia.
Kovtun AS; Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia.
Averina OV; Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia.
Koshenko TA; Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia.
Danilenko VN; Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia.

Int J Mol Sci ; 24(22)2023 Nov 17.

Article em En | MEDLINE | ID: mdl-38003647

Assuntos

Transtorno Depressivo Maior; Microbioma Gastrointestinal; Microbiota; Humanos; Metagenoma

Palavras-chave

biomarkers; depression; dysbiosis; gut microbiota; gutbrain axis; machine learning; neuroactive metabolites; signature; whole metagenome

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior / Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Federação Russa

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