Plasma Metabolic Characteristics and Potential Biomarker Combinations in Schizophrenia Patients With Tardive Dyskinesia

苯丙氨酸 接收机工作特性 内科学 生物标志物 代谢组学 迟发性运动障碍 曲线下面积 精神分裂症(面向对象编程) 发病机制 医学 胃肠病学 内分泌学 化学 氨基酸 精神科 生物化学 色谱法
作者
Chenghao Lu,Yeqing Dong,Dan Qi,Nannan Liu,Yanzhe Li,Jinghui Chi,Xinxu Wang,Min Zeng,Feng Liu,Li Shen,Jie Li
出处
期刊:Schizophrenia Bulletin [Oxford University Press]
标识
DOI:10.1093/schbul/sbaf006
摘要

The pathogenesis of tardive dyskinesia (TD) remains unclear, involving multiple biological pathways. This study aimed to explore biomarkers of TD through untargeted metabolomics for the early identification of TD. This study recruited 84 schizophrenia (SZ) patients with TD and 160 SZ patients without TD. TD diagnosis was based on the Schooler-Kane criteria, and the severity of TD and psychiatric symptoms were assessed using the Abnormal Involuntary Movement Scale and the Positive and Negative Syndrome Scale. Fasting blood samples were collected from all patients and subjected to untargeted metabolomics analysis using Ultra-high-performance liquid chromatography-high resolution mass spectrometry, allowing for the quantification and profiling of 699 metabolites. Data were analyzed with orthogonal partial least squares discriminant analysis, and receiver-operating characteristic curves. In TD, 57 metabolites exhibited significant changes (variable importance of projection > 1, false discovery rate-adjusted P < .05), primarily involving amino acids and lipids. These changes predominantly affected the phenylalanine, tyrosine, and tryptophan pathway (impact = 0.5, P = .0252), as well as the phenylalanine metabolism pathway (impact = 0.36, P = .0498). N-Acetyl-l-phenylalanine (B = 2.249, t = 4.56, P < .001, 95% CI, 1.302-3.286) and Succinylcarnitine (AcCa(4:0-DC)) (B = 1.009, t = 3.07, P = .002, 95% CI, 0.362-1.656) are negatively related to the total abnormal involuntary movement scale score. Additionally, 5 differential metabolites had area under the curve (AUC) values greater than 0.7 for diagnosing TD, with the combined diagnostic capability exceeding 0.8 (AUC = 0.817, 95% CI, 0.759-0.875). In TD, disruptions in amino acid and lipid metabolism were predominantly observed. Amino acids and lipid metabolites may be involved in the development of TD. Additionally, a biomarker panel composed of amino acids and lipids can be used for the differential diagnosis of TD.
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