Related Experiment Video
Updated: Apr 6, 2026

Semi-Automated Phenotypic Analysis of Functional 3D Spheroid Cell Cultures
Published on: August 18, 2023
Lipidomic analysis of p-chlorophenylalanine-treated mice using continuous-flow two-dimensional liquid
Rui Weng1, Sensen Shen1, Li Yang1
1Beijing National Laboratory for Molecular Sciences, the Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
Rationale:
Although serotonin deficiency is involved with various physiological disorders such as Alzheimer's disease, Parkinson's disease, schizophrenia and depression, the serotonin-dependent pathomechanisms remain poorly understood, particularly from a lipidomics perspective.
Methods:
This study therefore aimed to identify novel lipid biomarkers associated with serotonin deficiency by lipid profiling of p-chlorophenylalanine (pCPA)-treated, serotonin-deficient mice using continuous-flow normal-phase/reversed-phase two-dimensional liquid chromatography/quadrupole time-of-flight mass spectrometry (NP/RP 2D LC/QTOFMS). Principal component analysis (PCA) was performed to distinguish significantly altered lipids between the pCPA-treated mice and control mice.
Results:
Eighteen lipid biomarkers were associated with pCPA-induced serotonin deficiency. Specifically, lipid species of lysophosphatidylethanolamine (LPE), phosphatidylethanolamine (PE), sphingomyelin (SM), galactosylceramide (GalCer), glucotosylceramide (GluCer), lactosylceramide (LacCer) and triacylglycerol (TG) were down-regulated whereas glycerophosphocholine (PC) and phosphatidylinositol (PI) were up-regulated in the pCPA-treated mice compared with control mice.
Conclusions:
This work demonstrates the significant effects of serotonin deficiency on lipid metabolisms and will facilitate improved understanding of pathomechanisms in serotonin deficiency, particularly from a lipidomics perspective.

