Metabolomics biomarkers for precision psychiatry.

Area of Science:

• Biochemistry
• Neuroscience
• Psychiatry

Background:

• Current psychiatric diagnoses rely on symptoms, missing biological differences between patients.
• Metabolomics analyzes biochemical readouts to understand cellular metabolism influenced by genetics, environment, and drugs.

Purpose of the Study:

• To review current methodologies, findings, challenges, and future directions in psychiatric metabolomics.
• To facilitate the translation of metabolomic insights into personalized psychiatric treatments.

Main Methods:

• Review of untargeted and targeted metabolomics studies (NMR, MS) over 15 years.
• Analysis of metabolic dysregulation patterns in schizophrenia, bipolar disorder, and major depressive disorder.

Main Results:

• Consistent metabolic disruptions identified, particularly in amino acid, lipid, energy, and oxidative stress pathways.
• Specific metabolic signatures found for schizophrenia, bipolar disorder, and major depressive disorder.
• Treatment-responsive metabolic changes observed in major depressive disorder.

Conclusions:

• Metabolomics shows promise for precision psychiatry by identifying distinct patient subgroups.
• Challenges include data heterogeneity, limited replication, confounding factors, and analytical complexity.
• Future directions involve multi-site protocols, longitudinal studies, multi-omics integration, and AI frameworks.