Sitole Lungile J, Williams Aurelia A, Meyer Debra
Department of Biochemistry, University of Pretoria, Pretoria 0002, South Africa.
Mol Biosyst. 2013 Jan 27;9(1):18-28. doi: 10.1039/c2mb25318f. Epub 2012 Nov 1.
Monitoring the progression of HIV infection to full-blown acquired immune deficiency syndrome (AIDS) and assessing responses to treatment will benefit greatly from the identification of novel biological markers especially since existing clinical indicators of disease are not infallible. Nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) are powerful methodologies used in metabonomic analyses for an approximation of HIV-induced changes to the phenotype of an infected individual. Although early in its application to HIV/AIDS, (biofluid) metabonomics has already identified metabolic pathways influenced by both HIV and/or its treatment. To date, biofluid NMR and MS data show that the virus and highly active antiretroviral treatment (HAART) mainly influence carbohydrate and lipid metabolism, suggesting that infected individuals are susceptible to very specific metabolic complications. A number of well-defined biofluid metabonomic studies clearly distinguished HIV negative, positive and treatment experienced patient profiles from one another. While many of the virus or treatment affected metabolites have been identified, the metabonomics measurements were mostly qualitative. The identities of the molecules were not always validated neither were the statistical models used to distinguish between groups. Assigning particular metabolic changes to specific drug regimens using metabonomics also remains to be done. Studies exist where identified metabolites have been linked to various disease states suggesting great potential for the use of metabonomics in disease prognostics. This review therefore examines the field of metabonomics in the context of HIV/AIDS, comments on metabolites routinely detected as being affected by the pathogen or treatment, explains what existing data suggest and makes recommendations on future research.
监测HIV感染发展为全面的获得性免疫缺陷综合征(AIDS)以及评估治疗反应将极大地受益于新型生物标志物的识别,特别是因为现有的疾病临床指标并非绝对可靠。核磁共振波谱法(NMR)和质谱法(MS)是代谢组学分析中用于近似HIV诱导的受感染个体表型变化的强大方法。尽管(生物流体)代谢组学在HIV/AIDS中的应用尚处于早期阶段,但它已经确定了受HIV和/或其治疗影响的代谢途径。迄今为止,生物流体NMR和MS数据表明,病毒和高效抗逆转录病毒治疗(HAART)主要影响碳水化合物和脂质代谢,这表明受感染个体易患非常特定的代谢并发症。一些明确的生物流体代谢组学研究清楚地将HIV阴性、阳性和有治疗经历的患者概况区分开来。虽然已经确定了许多受病毒或治疗影响的代谢物,但代谢组学测量大多是定性的。分子的身份并不总是得到验证,用于区分组别的统计模型也未经验证。使用代谢组学将特定的代谢变化与特定药物治疗方案相关联也有待完成。已有研究表明,所识别的代谢物与各种疾病状态相关,这表明代谢组学在疾病预后方面具有巨大的应用潜力。因此,本综述在HIV/AIDS的背景下审视了代谢组学领域,对常规检测到的受病原体或治疗影响的代谢物进行了评论,解释了现有数据所表明的情况,并对未来研究提出了建议。