Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort. Issue 1 (December 2016)
- Main Title:
- Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort
- Authors:
- Lam, Raymond
Milev, Roumen
Rotzinger, Susan
Andreazza, Ana
Blier, Pierre
Brenner, Colleen
Daskalakis, Zafiris
Dharsee, Moyez
Downar, Jonathan
Evans, Kenneth
Farzan, Faranak
Foster, Jane
Frey, Benicio
Geraci, Joseph
Giacobbe, Peter
Feilotter, Harriet
Hall, Geoffrey
Harkness, Kate
Hassel, Stefanie
Ismail, Zahinoor
Leri, Francesco
Liotti, Mario
MacQueen, Glenda
McAndrews, Mary
Minuzzi, Luciano
Müller, Daniel
Parikh, Sagar
Placenza, Franca
Quilty, Lena
Ravindran, Arun
Salomons, Tim
Soares, Claudio
Strother, Stephen
Turecki, Gustavo
Vaccarino, Anthony
Vila-Rodriguez, Fidel
Kennedy, Sidney
… (more) - Abstract:
- Abstract Background Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers ("biomarkers") of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10–20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2–10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profilingAbstract Background Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers ("biomarkers") of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10–20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2–10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. Discussion From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research. Trial registration ClinicalTrials.gov identifierNCT01655706 . Registered July 27, 2012. … (more)
- Is Part Of:
- BMC psychiatry. Volume 16:Issue 1(2016)
- Journal:
- BMC psychiatry
- Issue:
- Volume 16:Issue 1(2016)
- Issue Display:
- Volume 16, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2016-0016-0001-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2016-12
- Subjects:
- Psychiatry -- Periodicals
616.89005 - Journal URLs:
- http://www.biomedcentral.com/bmcpsychiatr/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=62 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12888-016-0785-x ↗
- Languages:
- English
- ISSNs:
- 1471-244X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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