Stephen Daniels1, Thomas Horman1, Thomas Lapointe1, Brett Melanson1, Alexandra Storace1, Sidney H Kennedy2, Benicio N Frey3, Sakina J Rizvi2, Stefanie Hassel4, Daniel J Mueller5, Sagar V Parikh6, Raymond W Lam7, Pierre Blier8, Faranak Farzan9, Peter Giacobbe10, Roumen Milev11, Franca Placenza10, Claudio N Soares11, Gustavo Turecki12, Rudolf Uher13, Francesco Leri14. 1. Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada. 2. University of Toronto Health Network, Toronto, Ontario, Canada; St. Michael's Hospital, Toronto, Ontario, Canada. 3. McMaster University, Hamilton, Ontario, Canada. 4. University of Calgary, Calgary, Alberta, Canada. 5. The Centre for Addiction and Mental Health, Toronto, Ontario, Canada. 6. University of Michigan, Ann Arbor, MI, United States. 7. The University of British Columbia, Vancouver, British Columbia, Canada. 8. The Royal Institute of Mental Health Research, Ottawa, Ontario, Canada. 9. Simon Fraser University, Burnaby, British Columbia, Canada. 10. University of Toronto Health Network, Toronto, Ontario, Canada. 11. Queens University, Kingston, Ontario, Canada. 12. McGill University, Montreal, Quebec, Canada. 13. Dalhousie University, Halifax, Nova Scotia, Canada. 14. Department of Psychology and Neuroscience, University of Guelph, Guelph N1G 2W1, Ontario, Canada. Electronic address: fleri@uoguelph.ca.
Abstract
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.
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.
Authors: Thomas Horman; Maria F Fernandes; Maria C Tache; Barbora Hucik; David M Mutch; Francesco Leri Journal: Nutrients Date: 2020-06-21 Impact factor: 5.717