An integrated precision medicine approach in major depressive disorder: a study protocol to create a new algorithm for the prediction of treatment response

Major depressive disorder (MDD) is the most common psychiatric disease worldwide with a huge socio-economic impact. Pharmacotherapy represents the most common option among the first-line treatment choice; however, only about one third of patients respond to the first trial and about 30% are classifi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Bernhard T. Baune, Alessandra Minelli, Bernardo Carpiniello, Martina Contu, Jorge Domínguez Barragán, Chus Donlo, Ewa Ferensztajn-Rochowiak, Rosa Glaser, Britta Kelch, Paulina Kobelska, Grzegorz Kolasa, Dobrochna Kopeć, María Martínez de Lagrán Cabredo, Paolo Martini, Miguel-Angel Mayer, Valentina Menesello, Pasquale Paribello, Júlia Perera Bel, Giulia Perusi, Federica Pinna, Marco Pinna, Claudia Pisanu, Cesar Sierra, Inga Stonner, Viktor T. H. Wahner, Laura Xicota, Johannes C. S. Zang, Massimo Gennarelli, Mirko Manchia, Alessio Squassina, Marie-Claude Potier, Filip Rybakowski, Ferran Sanz, Mara Dierssen
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2024-01-01
Sarja:	Frontiers in Psychiatry
Aiheet:	major depressive disorder (MDD) treatment resistant depression (TRD) antidepressant treatment response genomics transcriptomics predictive algorithm
Linkit:	https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1279688/full
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