Major Depressive Disorder (MDD)Bipolar DisorderDepressive DisordersImmunology & InflammationHealth Economics & ReimbursementEsketamineKetamine

Blood-based biomarkers of antidepressant response to ketamine and esketamine: A systematic review and meta-analysis

This meta-analysis (n=2,801) explored the association between baseline levels and longitudinal changes in blood-based biomarkers, and response to ketamine/esketamine. Over 460 individual biomarkers were examined and there were no consistent associations between baseline levels of blood-based biomarkers, and response to ketamine. However, a longitudinal analysis revealed ketamine responders had statistically significant increases in brain-derived neurotrophic factor (BDNF) when compared to pre-treatment.

Authors

  • Carlos Zarate
  • Todd Gould
  • Mark Andrew Frye

Published

Molecular Psychiatry
meta Study

Abstract

(R,S)-ketamine (ketamine) and its enantiomer (S)-ketamine (esketamine) can produce rapid and substantial antidepressant effects. However, individual response to ketamine/esketamine is variable, and there are no well-accepted methods to differentiate persons who are more likely to benefit. Numerous potential peripheral biomarkers have been reported, but their current utility is unclear. We conducted a systematic review/meta-analysis examining the association between baseline levels and longitudinal changes in blood-based biomarkers, and response to ketamine/esketamine. Of the 5611 citations identified, 56 manuscripts were included (N = 2801 participants), and 26 were compatible with meta-analytical calculations. Random-effect models were used, and effect sizes were reported as standardized mean differences (SMD). Our assessments revealed that more than 460 individual biomarkers were examined. Frequently studied groups included neurotrophic factors (n = 15), levels of ketamine and ketamine metabolites (n = 13), and inflammatory markers (n = 12). There were no consistent associations between baseline levels of blood-based biomarkers, and response to ketamine. However, in a longitudinal analysis, ketamine responders had statistically significant increases in brain-derived neurotrophic factor (BDNF) when compared to pre-treatment levels (SMD [95% CI] = 0.26 [0.03, 0.48], p = 0.02), whereas non-responders showed no significant changes in BDNF levels (SMD [95% CI] = 0.05 [−0.19, 0.28], p = 0.70). There was no consistent evidence to support any additional longitudinal biomarkers. Findings were inconclusive for esketamine due to the small number of studies (n = 2). Despite a diverse and substantial literature, there is limited evidence that blood-based biomarkers are associated with response to ketamine and no current evidence of clinical utility.

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Research Summary of 'Blood-based biomarkers of antidepressant response to ketamine and esketamine: A systematic review and meta-analysis'

Introduction

Major depressive disorder (MDD) and bipolar depression are common, disabling illnesses for which conventional antidepressant treatments are often slow to act and ineffective in a substantial subset of patients. Ketamine (R,S‑ketamine) and its S‑enantiomer esketamine produce rapid antidepressant effects in many patients, but clinical response is variable and both agents have potential adverse effects. Given the heterogeneity of mood disorders and the trial‑and‑error nature of current prescribing, there is intense interest in biomarkers that might predict who will benefit from specific treatments. Medeiros and colleagues therefore conducted a preregistered systematic review and meta‑analysis to examine whether blood‑based biomarkers are associated with antidepressant response to ketamine and esketamine. The review addressed two related questions: whether baseline (pre‑treatment) biomarker levels predict later clinical response, and whether longitudinal changes in blood biomarkers after treatment are associated with clinical improvement. The authors focused on peripheral, blood‑based markers because these are more accessible and potentially cost‑effective than brain‑based measures for clinical use.

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Study Details

References (15)

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