Simić Katarina, Todorović Nina, Trifunović Snežana, Miladinović Zoran, Gavrilović Aleksandra, Jovanović Silvana, Avramović Nataša, Gođevac Dejan, Vujisić Ljubodrag, Tešević Vele, Tasić Ljubica, Mandić Boris
Institute of Chemistry, Technology and Metallurgy, National Institute, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.
University of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.
Metabolites. 2022 Jul 29;12(8):707. doi: 10.3390/metabo12080707.
Schizophrenia is a widespread mental disorder that leads to significant functional impairments and premature death. The state of the art indicates gaps in the understanding and diagnosis of this disease, but also the need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. In order to fulfill existing gaps, the establishment of a universal set of disorder biomarkers is a necessary step. Metabolomic investigations of serum samples of Serbian patients with schizophrenia (51) and healthy controls (39), based on NMR analyses associated with chemometrics, led to the identification of 26 metabolites/biomarkers for this disorder. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models with prediction accuracies of 0.9718 and higher were accomplished during chemometric analysis. The established biomarker set includes aspartate/aspartic acid, lysine, 2-hydroxybutyric acid, and acylglycerols, which are identified for the first time in schizophrenia serum samples by NMR experiments. The other 22 identified metabolites in the Serbian samples are in accordance with the previously established NMR-based serum biomarker sets of Brazilian and/or Chinese patient samples. Thirteen metabolites (lactate/lactic acid, threonine, leucine, isoleucine, valine, glutamine, asparagine, alanine, gamma-aminobutyric acid, choline, glucose, glycine and tyrosine) that are common for three different ethnic and geographic origins (Serbia, Brazil and China) could be a good start point for the setup of a universal NMR serum biomarker set for schizophrenia.
精神分裂症是一种广泛存在的精神障碍，会导致严重的功能损害和过早死亡。现有技术表明，在对这种疾病的理解和诊断方面存在差距，但也需要通过定制化医疗和对治疗反应的可靠监测，为患者提供个性化和精准的治疗方法。为了填补现有差距，建立一套通用的疾病生物标志物是必要的一步。基于与化学计量学相关的核磁共振分析，对塞尔维亚精神分裂症患者（51例）和健康对照者（39例）的血清样本进行代谢组学研究，确定了26种该疾病的代谢物/生物标志物。在化学计量分析过程中，完成了预测准确率达0.9718及以上的主成分分析（PCA）和正交偏最小二乘判别分析（OPLS - DA）模型。所建立的生物标志物集包括天冬氨酸/天冬氨酸、赖氨酸、2 - 羟基丁酸和酰基甘油，这些是通过核磁共振实验首次在精神分裂症血清样本中鉴定出来的。塞尔维亚样本中另外22种已鉴定的代谢物与之前基于核磁共振建立的巴西和/或中国患者样本的血清生物标志物集一致。对于来自三个不同种族和地理区域（塞尔维亚、巴西和中国）的样本都共有的13种代谢物（乳酸/乳酸、苏氨酸、亮氨酸、异亮氨酸、缬氨酸、谷氨酰胺、天冬酰胺、丙氨酸、γ - 氨基丁酸、胆碱、葡萄糖、甘氨酸和酪氨酸），可能是建立精神分裂症通用核磁共振血清生物标志物集的一个良好起点。
