Plasma biomarkers in drug-naïve schizophrenia with severe cognitive impairment via targeted metabolomics
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Updated: Jan 10, 2026

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Yeqing Dong1, Shuo Wang1, Yuying Qiu1
1Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China.
Background:
Cognitive impairment is the core symptom of schizophrenia (SZ). Early recognition of cognitive dysfunction is of great significance. Here, we used a metabolome-targeted approach to explore potential biomarkers associated with severe cognitive impairment in drug-naïve SZ patients.
Methods:
Plasma metabolites from 108 SZ patients and 55 healthy controls (HC) were analyzed using liquid chromatography-mass spectrometry (LC-MS). Participants were split into discovery (n = 88) and validation (n = 75) sets. The cognitive function was assessed using MATRICS Consensus Cognitive Batter (MCCB), with cognitive deficit score ≥ 3 defined as "severe cognitive impairment" (SCI) and others as "non-severe cognitive impairment"(non-SCI).
Results:
We found 21 candidate differential metabolites only present in SCI patients, and they were mainly involved in sphingolipid metabolism and glycerophospholipid metabolism. Furthermore, SM C20:2 and PC ae C36:2 were associated with social cognition and neurocognitive subdimensions of MCCB in SCI patients, while no similar results were found in non-SCI patients. The combination of SM C20:2 and PC ae C36:2 could modestly discriminated SCI subjects from non-SCI patients with an area under the curve (AUC) of 0.685 in discovery set and 0.720 in validation set. Moreover, these 2 candidate differential metabolites enabled distinguishing SZ patients from HC with an AUC of 0.717 in discovery set and 0.786 in validation set.
Conclusions:
Our study initially identified 21 candidate differential metabolites and 2 potentially important metabolic pathways related to SCI in drug-naïve SZ patients. SM C20:2 and PC ae C36:2 may serve as biomarkers for cognitive severity assessment in SZ patients.
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