Blood Plasma Lipid Alterations Differentiating Psychotic and Affective Disorder Patients

Area of Science:

• Neuroscience
• Biochemistry
• Psychiatry

Background:

• Psychotic and affective disorders like schizophrenia (SCZ) and major depressive disorder (MDD) impact millions globally.
• Overlapping symptoms and lack of objective diagnostics contribute to misdiagnosis.
• Plasma lipid levels are emerging as potential biomarkers for psychiatric conditions.

Purpose of the Study:

• To investigate plasma lipidome alterations in patients with SCZ and MDD compared to healthy controls.
• To identify disease-specific lipid species for differentiating these disorders.
• To assess the potential of lipid profiling for objective diagnosis.

Main Methods:

• Untargeted mass spectrometry was used to profile plasma lipids.
• Data was collected from 416 patients with SCZ/MDD and 272 healthy individuals across two cohorts.
• Logistic regression modeling was employed to build a diagnostic classifier.

Main Results:

• Significant lipidome alterations were observed in SCZ and MDD patients.
• 144 lipids showed significant changes, with 107 concordant and 37 discordant between SCZ and MDD.
• A logistic regression model achieved an ROC AUC of 0.83 in distinguishing SCZ from MDD, with triacylglycerols being key differentiators.

Conclusions:

• Blood lipid profiling reveals distinct patterns in SCZ and MDD.
• Specific lipid markers, especially triacylglycerols, can aid in differentiating psychotic and affective disorders.
• Plasma lipid analysis shows promise for developing objective diagnostic tools in psychiatry.