Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder

Summary

Ketamine produces rapid antidepressant effects in treatment-resistant depression associated with major depressive disorder and bipolar disorder. Identifying which patients will benefit remains a priority. This review identifies multiple pretreatment predictors of response, including high body mass index, family history of alcohol use disorder, history of suicide, adiponectin and vitamin B12 levels, delta sleep ratio abnormalities, glutamine/glutamate ratio, anterior cingulate cortex activity, the Val66Met BDNF allele, and processing speed. High BMI and family history of alcohol use disorder were the most replicated predictors. A complete pheno-biotype of depression likely to benefit from ketamine is far from complete, though metabolic-inflammatory alterations, especially cognitive impairment, are emerging as possible predictors.

Study at a glance

Abstract

OBJECTIVES: Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. METHOD: . RESULTS: Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors. CONCLUSIONS: A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information.