Associate Professor, Cancer Center MRI/MRS Core, Department of Anesthesiology and Radiology, University of Colorado Health Sciences Center, Denver, CO.
Toxicol Mech Methods. 2008;18(1):81-95. doi: 10.1080/15376510701795769.
ABSTRACT The overall goal of this review is to provide insight into methodologies for 'omic investigations and hypoxic biomarkers that have been identified using 'omic techniques. First, a detailed description of current metabolomic, proteomic, and genomic technologies is provided, followed by a basic introduction to biostatistics and how to interpret 'omic data. Metabolomic biomarkers of diseases in which hypoxia plays a role are then reviewed by those that involved chronic (pulmonary disease, cardiovascular disease, cancer) and acute (stroke, myocardial infarction, ischemia) hypoxia. Data are presented with consideration for the source of hypoxia, the severity of hypoxia, the length of hypoxia, and the cell or organ affected, all of which can have significant effects on biomarker profiles. Drugs that promote and antagonize hypoxia are discussed and important points to consider during tissue collection in hypoxia 'omic studies are then reviewed.
摘要 本综述的总体目标是深入了解使用组学技术鉴定的“组学”研究方法和缺氧生物标志物。首先，详细描述了当前的代谢组学、蛋白质组学和基因组学技术，然后介绍了生物统计学基础知识以及如何解释组学数据。然后，通过涉及慢性（肺部疾病、心血管疾病、癌症）和急性（中风、心肌梗死、缺血）缺氧的疾病来回顾缺氧相关的代谢组学生物标志物。在考虑缺氧来源、缺氧严重程度、缺氧持续时间以及受影响的细胞或器官的情况下，提出了数据，所有这些因素都可能对生物标志物图谱产生重大影响。讨论了促进和拮抗缺氧的药物，然后回顾了在缺氧组学研究中进行组织采集时需要考虑的重要问题。
