The Restoration of Energy Pathways Indicates the Efficacy of Ketamine Treatment in Depression: A Metabolomic Analysis.
Study Goal
The researchers aimed to identify biomarkers for ketamine efficacy in treating major depressive disorder (MDD) and explore its mechanisms of action through metabolomics.
Results Summary
Ketamine modulated energy metabolism pathways, with changes in ADP strongly correlating with symptom improvement. Low baseline FT3 levels predicted better treatment response, suggesting FT3 as a potential biomarker.
Population
40 MDD patients in the discovery cohort and 24 in the validation cohort.
Effective Dosage
Not specified
Duration
Not specified
Interactions
None mentioned
| Intervention | Direction | Endpoint | Population | Dosage | Impact | Claim # |
|---|---|---|---|---|---|---|
ketamine | decrease | depressive symptoms | MDD patients | - | ameliorates | #1 |
ketamine | neutral | metabolic pathways linked to energy metabolism | MDD patients | - | modulating | #2 |
ketamine | neutral | energy metabolite changes (adenosine triphosphate, adenosine diphosphate [ADP], pyruvate) | responders versus non-responders | - | were different | #3 |
ketamine | neutral | the magnitude of the ADP shift | discovery cohort | Rho = 0.48, pFDR = 0.018 | was strongly correlated with | #4 |
ketamine | decrease | baseline free triiodothyronine (FT3) levels | validation cohort | Rho = -0.645, p = 0.017 | is inversely associated with | #5 |
- | neutral | Low baseline FT3 levels | MDD patients | - | appear to predict a positive response | #6 |
- | neutral | FT3 | MDD patients | - | has potential as | #7 |
AIMS: Despite the clinical benefits of ketamine in treating major depressive disorder (MDD), some patients exhibit drug resistance, and the intricate mechanisms underlying this await comprehensive explication. We used metabolomics to find biomarkers for ketamine efficacy and uncover its mechanisms of action. METHODS: The study included 40 MDD patients treated with ketamine in the discovery cohort and 24 patients in the validation cohort. Serum samples from the discovery cohort receiving ketamine were analyzed using ultra performance liquid chromatography-mass spectrometry to study metabolomic changes and identify potential biomarkers. Metabolic alterations were evaluated pre- and post-ketamine treatment. Spearman correlation was applied to examine the relationship between metabolite alterations and depressive symptom changes. In addition, potential biomarkers, particularly thyroxine, were investigated through quantitative measurements in the validation cohort. RESULTS: We found that energy metabolite changes (adenosine triphosphate, adenosine diphosphate [ADP], pyruvate) were different in responders versus non-responders. The magnitude of the ADP shift was strongly correlated with the rate of reduction in Montgomery-Asberg Depression Rating Scale (MADRS) scores (Rho = 0.48, pFDR = 0.018). Additionally, baseline free triiodothyronine (FT3) levels are inversely associated with the rate of MADRS reduction (Rho = -0.645, p = 0.017). CONCLUSIONS: Ketamine ameliorates depressive symptoms by modulating metabolic pathways linked to energy metabolism. Low baseline FT3 levels appear to predict a positive response in MDD patients, suggesting FT3 has potential as a biological marker for clinical ketamine treatment. TRIAL REGISTRATION: ChiCTR-OOC-17012239.