Details

Autor(en) / Beteiligte

• Du, Yang
• Chen, Lei
• Li, Xue-Song
• Li, Xiao-Lin
• Xu, Xiang-Dong
• Tai, Shao-Bin
• Yang, Geng-Lin
• Tang, Quan
• Liu, Hua
• Liu, Shu-Han
• Zhang, Shu-Yao
• Cheng, Yong

Titel

Metabolomic Identification of Exosome-Derived Biomarkers for Schizophrenia: A Large Multicenter Study

Ist Teil von

• Schizophrenia bulletin, 2021-04, Vol.47 (3), p.615-623

Ort / Verlag

US: Oxford University Press

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• Abstract Exosomes have been suggested as promising targets for the diagnosis and treatment of neurological diseases, including schizophrenia (SCZ), but the potential role of exosome-derived metabolites in these diseases was rarely studied. Using ultra-performance liquid chromatography-tandem mass spectrometry, we performed the first metabolomic study of serum-derived exosomes from patients with SCZ. Our sample comprised 385 patients and 332 healthy controls recruited from 3 clinical centers and 4 independent cohorts. We identified 25 perturbed metabolites in patients that can be used to classify samples from patients and control participants with 95.7% accuracy (95% CI: 92.6%–98.9%) in the training samples (78 patients and 66 controls). These metabolites also showed good to excellent performance in differentiating between patients and controls in the 3 test sets of participants, with accuracies 91.0% (95% CI: 85.7%–96.3%; 107 patients and 62 controls), 82.7% (95% CI: 77.6%–87.9%; 104 patients and 142 controls), and 99.0% (95% CI: 97.7%–100%; 96 patients and 62 controls), respectively. Bioinformatic analysis suggested that these metabolites were enriched in pathways implicated in SCZ, such as glycerophospholipid metabolism. Taken together, our findings support a role for exosomal metabolite dysregulation in the pathophysiology of SCZ and indicate a strong potential for exosome-derived metabolites to inform the diagnosis of SCZ.