Konieczna Lucyna, Chmielewska Aleksandra, Lamparczyk Henryk
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Medical University of Gdańsk, Poland.
Chemotherapy. 2006;52(3):111-21. doi: 10.1159/000092538. Epub 2006 Apr 4.
The pharmacokinetics of orally administered ciprofloxacin and ofloxacin were studied in healthy volunteers to assess the influence of sex on drug bioavailability. The first group of subjects (9 males and 9 females) received a single oral dose of 200 mg ofloxacin, and the second group of volunteers included 24 subjects (12 males and 12 females) treated with a single oral dose of 100 mg ciprofloxacin. Blood samples (3 ml) were collected and investigated in this parallel design study in both groups, and ciprofloxacin and ofloxacin concentrations were determined. These experimental data, which had not been changed by any mathematical operation, were collected and used to determine the effect of sex on the pharmacokinetic profile using parametric and non-parametric tests as well as multivariate classification tools like cluster analysis (CA) and principal component analysis (PCA). The following variables demonstrated significant differences (p < 0.05) in c(0.5), c(1.5), c(2.0), c(4.0), c(10), c(12.0), c(24) and c(6.0), c(8.0), c(10.0) for ofloxacin and ciprofloxacin, respectively, using Student's t test and ANOVA. Therefore the alternative hypothesis about sex differences between males and females was accepted. The CA and PCA plot separated females from males and allowed to select subjects accounting for differences between males and females. Data on the whole pharmacokinetic profile enabled to determine subtle sex differences between males and females.
在健康志愿者中研究了口服环丙沙星和氧氟沙星的药代动力学,以评估性别对药物生物利用度的影响。第一组受试者(9名男性和9名女性)接受单次口服200mg氧氟沙星,第二组志愿者包括24名受试者(12名男性和12名女性),接受单次口服100mg环丙沙星治疗。在这项平行设计研究中,两组均采集了血样(3ml)并进行检测,测定环丙沙星和氧氟沙星的浓度。这些未经任何数学运算处理的实验数据被收集起来,用于通过参数检验和非参数检验以及聚类分析(CA)和主成分分析(PCA)等多变量分类工具来确定性别对药代动力学特征的影响。使用学生t检验和方差分析,以下变量在氧氟沙星的c(0.5)、c(1.5)、c(2.0)、c(4.0)、c(10)、c(12.0)、c(24)以及环丙沙星的c(6.0)、c(8.0)、c(10.0)中分别显示出显著差异(p<0.05)。因此,关于男性和女性之间性别差异的备择假设被接受。聚类分析和主成分分析图将女性与男性区分开来,并能够挑选出能够解释男性和女性之间差异的受试者。关于整个药代动力学特征的数据能够确定男性和女性之间细微的性别差异。