Reverse translation of major depressive disorder symptoms: A framework for the behavioural phenotyping of putative biomarkers.

Antidepressant drug treatment response Beck Depression inventory Hamilton rating scale for depression Major depressive disorder Montgomery–Åsberg depression rating scale Reverse translation

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 02 2020
Historique:
received: 19 09 2019
revised: 13 11 2019
accepted: 22 11 2019
pubmed: 24 1 2020
medline: 7 2 2021
entrez: 24 1 2020
Statut: ppublish

Résumé

Reverse translating putative biomarkers of depression from patients to animals is complex because Major Depressive Disorder (MDD) is a highly heterogenous condition. This review proposes an approach to reverse translation based on relating relevant bio-behavioural functions in laboratory rodents to MDD symptoms. This systematic review outlines symptom clusters assessed by psychometric tests of MDD and antidepressant treatment response including the Montgomery-Åsberg Depression Rating Scale, the Hamilton Depression Rating Scale, and the Beck Depression Inventory. Symptoms were related to relevant behavioural assays in laboratory rodents. The resulting battery of tests includes passive coping, anxiety-like behaviours, sleep, caloric intake, cognition, psychomotor functions, hedonic reactivity and aversive learning. These assays are discussed alongside relevant clinical symptoms of MDD, providing a framework through which reverse translation of a biomarker can be interpreted. Certain aspects of MDD may not be quantified by tests in laboratory rodents, and their biological significance may not always be of clinical relevance. Using this reverse translation approach, it is possible to clarify the functional significance of a putative biomarker in rodents and hence translate its contribution to specific clinical symptoms, or clusters of symptoms.

Sections du résumé

BACKGROUND
Reverse translating putative biomarkers of depression from patients to animals is complex because Major Depressive Disorder (MDD) is a highly heterogenous condition. This review proposes an approach to reverse translation based on relating relevant bio-behavioural functions in laboratory rodents to MDD symptoms.
METHODS
This systematic review outlines symptom clusters assessed by psychometric tests of MDD and antidepressant treatment response including the Montgomery-Åsberg Depression Rating Scale, the Hamilton Depression Rating Scale, and the Beck Depression Inventory. Symptoms were related to relevant behavioural assays in laboratory rodents.
RESULTS
The resulting battery of tests includes passive coping, anxiety-like behaviours, sleep, caloric intake, cognition, psychomotor functions, hedonic reactivity and aversive learning. These assays are discussed alongside relevant clinical symptoms of MDD, providing a framework through which reverse translation of a biomarker can be interpreted.
LIMITATIONS
Certain aspects of MDD may not be quantified by tests in laboratory rodents, and their biological significance may not always be of clinical relevance.
CONCLUSIONS
Using this reverse translation approach, it is possible to clarify the functional significance of a putative biomarker in rodents and hence translate its contribution to specific clinical symptoms, or clusters of symptoms.

Identifiants

pubmed: 31969265
pii: S0165-0327(19)32551-0
doi: 10.1016/j.jad.2019.11.108
pii:
doi:

Substances chimiques

Antidepressive Agents 0
Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

353-366

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest There are no conflicts of interest to declare for this manuscript.

Auteurs

Stephen Daniels (S)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada.

Thomas Horman (T)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada.

Thomas Lapointe (T)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada.

Brett Melanson (B)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada.

Alexandra Storace (A)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada.

Sidney H Kennedy (SH)

University of Toronto Health Network, Toronto, Ontario, Canada; St. Michael's Hospital, Toronto, Ontario, Canada.

Benicio N Frey (BN)

McMaster University, Hamilton, Ontario, Canada.

Sakina J Rizvi (SJ)

University of Toronto Health Network, Toronto, Ontario, Canada; St. Michael's Hospital, Toronto, Ontario, Canada.

Stefanie Hassel (S)

University of Calgary, Calgary, Alberta, Canada.

Daniel J Mueller (DJ)

The Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Sagar V Parikh (SV)

University of Michigan, Ann Arbor, MI, United States.

Raymond W Lam (RW)

The University of British Columbia, Vancouver, British Columbia, Canada.

Pierre Blier (P)

The Royal Institute of Mental Health Research, Ottawa, Ontario, Canada.

Faranak Farzan (F)

Simon Fraser University, Burnaby, British Columbia, Canada.

Peter Giacobbe (P)

University of Toronto Health Network, Toronto, Ontario, Canada.

Roumen Milev (R)

Queens University, Kingston, Ontario, Canada.

Franca Placenza (F)

University of Toronto Health Network, Toronto, Ontario, Canada.

Claudio N Soares (CN)

Queens University, Kingston, Ontario, Canada.

Gustavo Turecki (G)

McGill University, Montreal, Quebec, Canada.

Rudolf Uher (R)

Dalhousie University, Halifax, Nova Scotia, Canada.

Francesco Leri (F)

Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada. Electronic address: fleri@uoguelph.ca.

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