International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Signal Transduct Target Ther. 2023 Mar 20;8(1):132. doi: 10.1038/s41392-023-01399-3.
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
代谢异常导致代谢途径的功能障碍和代谢物的积累或缺乏,这是疾病的公认特征。与研究对象表型信息维度密切相关的代谢物特征,可用于预测疾病的诊断和预后以及监测治疗。缺乏早期生物标志物可能导致诊断不佳和严重后果。因此,急需具有高特异性和选择性的非侵入性诊断和监测方法。基于小分子代谢物的代谢组学已成为代谢生物标志物和途径分析的专用工具,可用于揭示人类各种疾病的可能机制,并破译治疗潜力。它可以帮助确定与表型变异相关的功能生物标志物,并描绘生物化学途径变化,作为疾病发展前病理功能障碍和损伤的早期指标。最近,科学家们已经建立了大量的代谢谱,以揭示生物医学中治疗靶点探索的潜在机制和代谢网络。本综述总结了小分子候选代谢物作为生物标志物在临床事件中的代谢分析,这可能有助于更好的诊断、预后、药物筛选和治疗。我们还讨论了需要解决的挑战,以推动下一波突破。