Barter Z E, Chowdry J E, Harlow J R, Snawder J E, Lipscomb J C, Rostami-Hodjegan A
Floor M, The Royal Hallamshire Hospital, Sheffield S102JF, UK.
Drug Metab Dispos. 2008 Dec;36(12):2405-9. doi: 10.1124/dmd.108.021311. Epub 2008 Sep 5.
Scaling of metabolic clearance values from liver microsomal data or recombinantly expressed cytochrome P450 enzymes to predict human hepatic clearance requires knowledge of the amount of microsomal protein per gram of liver (MPPGL). Identification of physiological covariates of MPPGL requires analysis of values from large diverse populations, which necessitates pooling of data from numerous sources. To ensure compatibility between results obtained within and between studies, the impact of interoperator differences and sample storage on values of MPPGL was investigated. With use of triplicate samples from one liver (HL86), no statistically significant difference was detected between values of MPPGL prepared from samples stored at -80 degrees C (23.5 +/- 1.2 mg g(-1)) and those determined using fresh tissue (21.9 +/- 0.3 mg g(-1)). Although there was a significant difference in the yield of microsomal protein obtained from another liver sample (HL43) by three different operators (17 +/- 1, 19 +/- 2, and 24 +/- 1 mg g(-1); p = 0.004, analysis of variance), no difference was observed in the estimated MPPGL after application of appropriate correction factors for each operator (28 +/- 1, 30 +/- 5, and 31 +/- 4 mg g(-1)). The result provided justification for pooling reported values of MPPGL for use in covariate analysis. Investigation of the relationship between age and MPPGL provided preliminary evidence that MPPGL values increase from birth to a maximum of 40 mg g(-1) [95% confidence interval for the geometric mean (95% CI mean(geo)): 37-43 mg g(-1) at approximately 28 years followed by a gradual decrease in older age (mean of 29 mg g(-1) at 65 years; 95% CI mean(geo): 27-32 mg g(-1)). Accordingly, appropriate age-adjusted scaling factors should be used in extrapolating in vitro clearance values to clinical studies.
从肝微粒体数据或重组表达的细胞色素P450酶推算代谢清除率值以预测人体肝脏清除率,需要了解每克肝脏中微粒体蛋白的含量(MPPGL)。确定MPPGL的生理协变量需要分析来自大量不同人群的值,这就需要汇集来自众多来源的数据。为确保研究内部和研究之间获得的结果具有可比性,研究了操作人员差异和样本储存对MPPGL值的影响。使用来自一个肝脏(HL86)的一式三份样本,在储存在-80℃的样本(23.5±1.2mg g⁻¹)中制备的MPPGL值与使用新鲜组织测定的MPPGL值(21.9±0.3mg g⁻¹)之间未检测到统计学上的显著差异。尽管由三名不同操作人员从另一个肝脏样本(HL43)获得的微粒体蛋白产量存在显著差异(分别为17±1、19±2和24±1mg g⁻¹;方差分析,p = 0.004),但在对每个操作人员应用适当的校正因子后,估计的MPPGL未观察到差异(分别为28±1、30±5和31±4mg g⁻¹)。该结果为汇集报告的MPPGL值用于协变量分析提供了依据。对年龄与MPPGL之间关系的研究提供了初步证据,表明MPPGL值从出生时开始增加,在大约28岁时达到最大值40mg g⁻¹[几何平均数的95%置信区间(95%CI mean(geo)):37 - 43mg g⁻¹],随后在老年时逐渐下降(65岁时平均值为29mg g⁻¹;95%CI mean(geo):27 - 32mg g⁻¹)。因此,在将体外清除率值外推至临床研究时应使用适当的年龄校正缩放因子。