Research Domain Criteria (RDoC): A Perspective to Probe the Biological Background behind Treatment Efficacy in Depression.

RDoC Constructs Research domain criteria antidepressant behavioral paradigm drug targets major depressive disorder

Journal

Current medicinal chemistry
ISSN: 1875-533X
Titre abrégé: Curr Med Chem
Pays: United Arab Emirates
ID NLM: 9440157

Informations de publication

Date de publication:
2021
Historique:
received: 22 07 2020
revised: 27 10 2020
accepted: 03 11 2020
pubmed: 6 1 2021
medline: 17 8 2021
entrez: 5 1 2021
Statut: ppublish

Résumé

Major Depressive Disorder(MDD) and its frequent partial response to antidepressants are a major health concern and therefore an important focus of research. Despite the efforts, MDD pathogenesis and the mechanisms of antidepressant action are only partially understood. In the last few years, the need of rethinking the classification of depressive disorders and psychiatric disorders, in general, has been suggested, in order to provide a nosology that reflects more closely the biological background associated with disease pathogenesis and its role/significance in treatment. The classification proposed by the National Institute of Mental Health (NIMH), namely the research domain criteria (RDoC), may represent a key framework to guide research in this direction. A literature search was performed on PubMed and Google Scholar databases in order to retrieve data regarding Antidepressants effects on specific RDoC constructs. Further, the targets of drugs of interest were identified through the Drug bank database, and their possible function within RDoC constructs was discussed. In this review, we summarize and discuss the significance of the results of pre-clinical and clinical studies investigating specific RDoC paradigms relevant to depressive phenotypes and antidepressant effects. The RDoC framework may facilitate a more specific use of antidepressants based on the individual's spectrum of symptoms and the development of new compounds that target specific depressive symptoms.

Sections du résumé

BACKGROUND BACKGROUND
Major Depressive Disorder(MDD) and its frequent partial response to antidepressants are a major health concern and therefore an important focus of research. Despite the efforts, MDD pathogenesis and the mechanisms of antidepressant action are only partially understood. In the last few years, the need of rethinking the classification of depressive disorders and psychiatric disorders, in general, has been suggested, in order to provide a nosology that reflects more closely the biological background associated with disease pathogenesis and its role/significance in treatment. The classification proposed by the National Institute of Mental Health (NIMH), namely the research domain criteria (RDoC), may represent a key framework to guide research in this direction.
METHODS METHODS
A literature search was performed on PubMed and Google Scholar databases in order to retrieve data regarding Antidepressants effects on specific RDoC constructs. Further, the targets of drugs of interest were identified through the Drug bank database, and their possible function within RDoC constructs was discussed.
DISCUSSION CONCLUSIONS
In this review, we summarize and discuss the significance of the results of pre-clinical and clinical studies investigating specific RDoC paradigms relevant to depressive phenotypes and antidepressant effects.
CONCLUSION CONCLUSIONS
The RDoC framework may facilitate a more specific use of antidepressants based on the individual's spectrum of symptoms and the development of new compounds that target specific depressive symptoms.

Identifiants

pubmed: 33397226
pii: CMC-EPUB-112993
doi: 10.2174/0929867328666210104104938
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

4296-4320

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Marco Calabrò (M)

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.

Chiara Fabbri (C)

Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.

Siegfried Kasper (S)

Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria.

Joseph Zohar (J)

Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

Daniel Souery (D)

Laboratoire de Psychologie Medicale, Universite Libre de Bruxelles and Psy Pluriel, Centre Europeen de Psychologie Medicale, Brussels, Belgium.

Stuart Montgomery (S)

Imperial College School of Medicine, London, United Kingdom.

Diego Albani (D)

Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Gianluigi Forloni (G)

Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Panagiotis Ferentinos (P)

Department of Psychiatry, Athens University Medical School, Athens, Greece.

Dan Rujescu (D)

University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Halle, Germany.

Julien Mendlewicz (J)

Universite´ Libre de Bruxelles, Brussels, Belgium.

Roberto Colombo (R)

Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

Diana De Ronchi (D)

Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.

Alessandro Serretti (A)

Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.

Concetta Crisafulli (C)

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.

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Classifications MeSH