谷胱甘肽转移酶(GST)的遗传多态性:GSTM1、T1 和 P1 结合活性的人群分布。
Genetic Polymorphism in Glutathione Transferases (GST): Population distribution of GSTM1, T1, and P1 conjugating activity.
机构信息
Connecticut Department of Public Health, Hartford 06134, USA.
出版信息
J Toxicol Environ Health B Crit Rev. 2009;12(5-6):389-439. doi: 10.1080/10937400903158375.
Glutathione transferases (GST) catalyze the conjugation of glutathione (GSH) with electrophiles, many of which may otherwise interact with protein or DNA. In select cases such as halogenated solvents, GST-mediated conjugation may lead to a more toxic or mutagenic metabolite. Polymorphisms that exert substantial effects on GST function were noted in human populations for several isozymes. This analysis focuses on three well-characterized isozymes, GSTM1, T1, and P1, in which polymorphisms were extensively studied with respect to DNA adducts and cancer in molecular epidemiologic studies. The current review and analysis focused upon how polymorphisms in these GST contributed to population variability in GST function. The first step in developing this review was to characterize the influence of genotype on phenotype (enzyme function) and the frequency of the polymorphisms across major population groups for all three GST. This information was then incorporated into Monte Carlo simulations to develop population distributions of enzyme function. These simulations were run separately for GSTM1, T1, and P1, and also for the combination of these isozymes, to assess the possibility of overlapping substrate specificity. Monte Carlo simulations indicated large interindividual variability for GSTM1 and T1 due to the presence of the null (zero activity) genotype, which is common in all populations studied. Even for GSTM1 or T1 non-null individuals, there was considerable interindividual variability with a bimodal distribution of enzyme activity evident. GSTP1 polymorphisms are associated with somewhat less variability due to the absence of null genotypes. However, in all cases simulated, the estimated variability is sufficiently large to warrant consideration of GST function distributions in assessments involving GST-mediated activation or detoxification of xenobiotics. Ideally, such assessments would involve physiologically based toxicokinetic (PBTK) modeling to assess population variability in internal dose.
谷胱甘肽转移酶(GST)催化谷胱甘肽(GSH)与亲电试剂的结合,其中许多亲电试剂可能与蛋白质或 DNA 相互作用。在某些情况下,如卤代溶剂,GST 介导的结合可能导致更有毒或致突变的代谢物。在人类群体中,几种同工酶的 GST 功能受到实质性影响的多态性已被注意到。该分析集中在三个特征明显的同工酶,GSTM1、T1 和 P1,其中多态性在分子流行病学研究中针对 DNA 加合物和癌症进行了广泛研究。目前的综述和分析集中在这些 GST 的多态性如何导致 GST 功能的人群变异性。进行此综述的第一步是表征基因型对表型(酶功能)的影响以及三种 GST 中所有主要人群群体中多态性的频率。然后将此信息纳入蒙特卡罗模拟中,以开发酶功能的人群分布。这些模拟分别针对 GSTM1、T1 和 P1 以及这些同工酶的组合进行运行,以评估底物特异性重叠的可能性。蒙特卡罗模拟表明,由于零活性基因型的存在,GSTM1 和 T1 的个体间变异性很大,这种基因型在所有研究的人群中都很常见。即使对于 GSTM1 或 T1 非零个体,也存在相当大的个体间变异性,酶活性的双峰分布明显。由于不存在零基因型,GSTP1 多态性与较小的变异性相关。然而,在模拟的所有情况下,估计的变异性都足够大,需要在涉及 GST 介导的外源性物质激活或解毒的评估中考虑 GST 功能分布。理想情况下,此类评估将涉及基于生理学的毒代动力学(PBTK)建模,以评估内部剂量的人群变异性。