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Proteomic patterns associated with ketamine response in major depressive disorders.
Nan Zhou1, Xiaolei Shi1, Runhua Wang1
1Research Institute, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Cell Biology and Toxicology
|January 10, 2025
Summary
This study identified six key proteins and three predictive biomarkers in plasma proteomics to determine major depressive disorder (MDD) patient response to ketamine treatment, advancing personalized medicine.
Area of Science:
- Proteomics
- Precision Medicine
- Neuroscience
Background:
- Major depressive disorder (MDD) is a prevalent mood disorder characterized by persistent sadness and anhedonia.
- Ketamine offers rapid symptom relief for MDD but exhibits variable patient response.
- Identifying non-responders and responders pre-treatment is crucial for personalized MDD therapy.
Purpose of the Study:
- To identify proteomic biomarkers predicting ketamine response in MDD patients.
- To elucidate the dynamic proteomic changes associated with ketamine treatment efficacy.
- To advance precision medicine approaches for MDD treatment.
Main Methods:
- Plasma proteomics analysis using mass spectrometry on pre- and post-ketamine samples from 30 MDD patients.
- Categorization of patients into ketamine responders and non-responders based on treatment outcomes.
- Statistical analyses including co-regulation and receiver operating characteristic (ROC) curve analysis.
Main Results:
- Six proteins were identified as pivotal to ketamine's antidepressive effects.
- Immune response pathways were found to be involved in ketamine response.
- Three pre-treatment proteins demonstrated strong predictive performance for ketamine response.
Conclusions:
- Proteomic profiling can predict ketamine response in MDD patients.
- Immune-related processes are dynamically altered by ketamine treatment.
- These findings support personalized treatment strategies for MDD.
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