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Published on: November 29, 2024
Metabolomics, Lipidomics, and Antipsychotics: A Systematic Review
Kyle J Burghardt1, Megan Kajy1, Kristen M Ward2
1Department of Pharmacy Practice, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University Detroit, Detroit, MI 48201, USA.
Metabolomics research reveals consistent changes in metabolites like phosphatidylcholines and carboxylic acids with antipsychotic use. Further controlled studies are needed to validate these biomarkers for personalized psychiatric treatment.
Area of Science:
- Biochemistry
- Pharmacology
- Genomics
Background:
- Antipsychotics are crucial for mental illness treatment, but patient response varies significantly.
- Current selection relies on trial-and-error due to limited understanding of individual efficacy and tolerability.
- Metabolomics offers potential for identifying biomarkers of antipsychotic response.
Purpose of the Study:
- To systematically review metabolites and metabolomic pathways linked to antipsychotic use in humans.
- To identify potential biomarkers for predicting medication effectiveness and toxicity.
Main Methods:
- Systematic review of 42 human studies on metabolomics and antipsychotics.
- Analysis focused on blood-based biosamples (plasma/serum).
- Assessment of 14 metabolite and 12 lipid classes across diverse study designs.
Main Results:
- Consistent perturbations observed: increased phosphatidylcholines, decreased carboxylic acids, and decreased acylcarnitines with antipsychotic exposure.
- Seven metabolites and three lipid species showed replicated findings in targeted studies.
- A decrease in aspartate was the most consistent finding in targeted metabolomic studies.
Conclusions:
- Metabolomic studies on antipsychotics provide a foundation but require more standardized reporting for meta-analysis.
- Validated biomarkers could enable personalized medicine approaches in psychiatry.
- Future research necessitates controlled designs to minimize confounders and maximize metabolomics' potential.
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