Omabe Maxwell, Elom Sunday, Omabe Kenneth N
Department of Pathology / Clinical Biochemistry; Oncology Division, Cancer Research Cluster, Cancer Immunotherapy and Vaccine Research Group, University of Saskatchewan, Saskatoon, Canada.
Pathology and Laboratory Medicine; Diagnostic Service of Manitoba; Affiliate of University of Manitoba, The Northern Regional Health Authority, Manitoba, Canada.
Endocr Metab Immune Disord Drug Targets. 2018;18(3):221-229. doi: 10.2174/1871530318666180122165415.
Metabolomics is a powerful exploratory tool for discovering new diagnostic molecules or biomarkers due to its ability to highlight several interactions between different biochemical molecules and pathways in composition in health and disease thereby advancing our understanding, to provide evidence based diagnosis and treatment of such a complex disease including polycystic ovarian syndrome (PCOS). The aim of this study was to review available literature on the use of metabolomic approach and to critically evaluate and draw a synthesis to highlight novel biochemical markers for clinical application in PCOS.
Studies that applied metabolomic approach to investigate PCOS and those meeting selection criteria were searched and, critically evaluated.
Here we highlighted the metabolic reactions and perturbation of some metabolic pathways present in patients with polycystic ovarian syndrome and normal subjects that can allow better understanding of the disorder and help developing a new generation diagnostic and treatment algorithm.
A number of disease-related metabolites have been discussed which have extraordinary potential for a clinical utility as diagnostic and treatment monitoring biomarkers.
代谢组学是一种强大的探索工具,能够揭示健康与疾病状态下不同生化分子及代谢途径之间的多种相互作用,从而增进我们对疾病的理解,为包括多囊卵巢综合征(PCOS)在内的复杂疾病提供循证诊断与治疗,因此可用于发现新的诊断分子或生物标志物。本研究旨在回顾有关代谢组学方法应用的现有文献,并进行批判性评估与综合分析,以突出可用于PCOS临床应用的新型生化标志物。
检索并批判性评估应用代谢组学方法研究PCOS且符合选择标准的研究。
在此,我们着重介绍了多囊卵巢综合征患者和正常受试者体内存在的代谢反应及某些代谢途径的扰动情况,这有助于更好地理解该疾病,并有助于开发新一代的诊断和治疗算法。
已讨论了多种与疾病相关的代谢物,它们作为诊断和治疗监测生物标志物具有非凡的临床应用潜力。