Sethi Sumit, Brietzke Elisa
Interdisciplinary Laboratory for Clinical Neuroscience (LiNC), Department of Psychiatry, Universidade Federal de São Paulo - UNIFESP, São Paulo, Brazil.
Int J Neuropsychopharmacol. 2015 Oct 9;19(3):pyv096. doi: 10.1093/ijnp/pyv096.
One of the major concerns of modern society is to identify putative biomarkers that serve as a valuable early diagnostic tool to identify a subset of patients with increased risk to develop neuropsychiatric disorders. Biomarker identification in neuropsychiatric disorders is proposed to offer a number of important benefits to patient well-being, including prediction of forthcoming disease, diagnostic precision, and a level of disease description that would guide treatment choice. Nowadays, the metabolomics approach has unlocked new possibilities in diagnostics of devastating disorders like neuropsychiatric disorders. Metabolomics-based technologies have the potential to map early biochemical changes in disease and hence provide an opportunity to develop predictive biomarkers that can be used as indicators of pathological abnormalities prior to development of clinical symptoms of neuropsychiatric disorders. This review highlights different -omics strategies for biomarker discovery in neuropsychiatric disorders. We also highlight initial outcomes from metabolomics studies in psychiatric disorders such as schizophrenia, bipolar disorder, and addictive disorders. This review will also present issues and challenges regarding the implementation of the metabolomics approach as a routine diagnostic tool in the clinical laboratory in context with neuropsychiatric disorders.
现代社会的主要关注点之一是识别潜在的生物标志物,这些标志物可作为有价值的早期诊断工具,用于识别患神经精神疾病风险增加的患者亚组。在神经精神疾病中识别生物标志物被认为对患者的健康有诸多重要益处,包括预测即将发生的疾病、诊断准确性以及能指导治疗选择的疾病描述水平。如今,代谢组学方法为诸如神经精神疾病这类破坏性疾病的诊断开辟了新的可能性。基于代谢组学的技术有潜力描绘疾病早期的生化变化,从而提供机会开发预测性生物标志物,这些标志物可在神经精神疾病临床症状出现之前用作病理异常的指标。本综述重点介绍了在神经精神疾病中发现生物标志物的不同组学策略。我们还强调了在精神分裂症、双相情感障碍和成瘾性障碍等精神疾病的代谢组学研究中的初步成果。本综述还将阐述在神经精神疾病背景下,将代谢组学方法作为临床实验室常规诊断工具实施时所面临的问题和挑战。