1. Treatment-emergent and trajectory-based peripheral gene expression markers of antidepressant response
- Author
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Raymond W. Lam, Laura M. Fiori, Rixing Lin, Daniel J Müller, Sidney H. Kennedy, Rudolf Uher, Jean-François Théroux, Gustavo Turecki, Zahia Aouabed, Massimiliano Orri, Roumen Milev, Glenda MacQueen, Jane A. Foster, Benicio N. Frey, Corina Nagy, Sagar V. Parikh, and Susan Rotzinger
- Subjects
Oncology ,medicine.medical_specialty ,Gene Expression ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Citalopram ,Molecular neuroscience ,Article ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Internal medicine ,Gene expression ,Medicine ,Escitalopram ,Humans ,Gene ,Biological Psychiatry ,Depression (differential diagnoses) ,030304 developmental biology ,Psychiatric Status Rating Scales ,0303 health sciences ,Depressive Disorder, Major ,business.industry ,Depression ,RNA ,medicine.disease ,Antidepressive Agents ,Psychiatry and Mental health ,Treatment Outcome ,Cohort ,Major depressive disorder ,Antidepressant ,business ,030217 neurology & neurosurgery ,Biomarkers ,medicine.drug ,RC321-571 - Abstract
Identifying biomarkers of antidepressant response may advance personalized treatment of major depressive disorder (MDD). We aimed to identify longitudinal changes in gene expression associated with response to antidepressants in a sample of MDD patients treated with escitalopram. Patients (N = 153) from the CAN-BIND-1 cohort were treated for 8 weeks, and depressive symptoms were assessed using the Montgomery-Åsberg Depression Rating Scale at 0, 2, 4, 6, and 8 weeks. We identified three groups of patients according to response status: early responders (22.9%), later responders (32.0%), and nonresponders (45.1%). RNA sequencing was performed in blood obtained at weeks 0, 2, and 8. RNA expression was modeled using growth models, and differences in the longitudinal changes in expression according to response were investigated using multiple regression models. The expression of RNAs related to response was investigated in the brains of depressed individuals, as well as in neuronal cells in vitro. We identified four RNAs (CERCAM, DARS-AS1, FAM228B, HBEGF) whose change over time was independently associated with a response status. For all except HBEGF, responders showed higher expression over time, compared to nonresponders. While the change in all RNAs differentiated early responders from nonresponders, changes in DARS-AS1 and HBEGF also differentiated later responders from nonresponders. Additionally, HBEGF was downregulated in the brains of depressed individuals, and increased in response to escitalopram treatment in vitro. In conclusion, using longitudinal assessments of gene expression, we provide insights into biological processes involved in the intermediate stages of escitalopram response, highlighting several genes with potential utility as biomarkers of antidepressant response.
- Published
- 2021