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GC-MS 应用于寻找精神分裂症低分子量标志物的经验和观点。

Experiences and Perspectives of GC-MS Application for the Search of Low Molecular Weight Discriminants of Schizophrenia.

机构信息

Laboratory of Analytical Toxicology and Immunochemistry, Department of Biomedical Problems, National Research Center on Addictions, Branch of Serbsky Institute for General and Forensic Psychiatry, 119839 Moscow, Russia.

I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.

出版信息

Molecules. 2022 Dec 31;28(1):324. doi: 10.3390/molecules28010324.

Abstract

Schizophrenia is one of the most severe chronic mental disorders that is currently diagnosed and categorized through subjective clinical assessment of complex symptoms. At present, there is a recognized need for an objective, unbiased clinical test for schizophrenia diagnosis at an early stage and categorization of the disease. This can be achieved by assaying low-molecular-weight biomarkers of the disease. Here we give an overview of previously conducted research on the discovery of biomarkers of schizophrenia and focus on the studies implemented with the use of GC-MS and the least invasiveness of biological samples acquisition. The presented data demonstrate that GC-MS is a powerful instrumental platform for investigating dysregulated biochemical pathways implicated in schizophrenia pathogenesis. With this platform, different research groups suggested a number of low molecular weight biomarkers of schizophrenia. However, we recognize an inconsistency between the biomarkers or biomarkers patterns revealed by different groups even in the same matrix. Moreover, despite the importance of the problem, the number of relevant studies is limited. The intensification of the research, as well as the harmonization of the analytical procedures to overcome the observed inconsistencies, can be indicated as future directions in the schizophrenia bio-markers quest.

摘要

精神分裂症是目前通过对复杂症状进行主观临床评估来诊断和分类的最严重的慢性精神障碍之一。目前,人们认识到需要一种客观、无偏倚的临床测试,以便在早期对精神分裂症进行诊断和对疾病进行分类。这可以通过检测疾病的低分子量生物标志物来实现。在这里,我们对精神分裂症生物标志物的发现进行了综述,并重点介绍了使用 GC-MS 进行的研究和对生物样本采集的最小侵入性。所提供的数据表明,GC-MS 是研究与精神分裂症发病机制相关的失调生化途径的强大仪器平台。使用该平台,不同的研究小组提出了一些精神分裂症的低分子量生物标志物。然而,我们认识到,即使在同一基质中,不同组揭示的生物标志物或生物标志物模式之间也存在不一致性。此外,尽管该问题很重要,但相关研究的数量有限。加强研究以及协调分析程序以克服观察到的不一致性,可以作为精神分裂症生物标志物研究的未来方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59b2/9822242/2f6b1aa1273d/molecules-28-00324-g001.jpg

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