Pharmacometabolomics in Endogenous Drugs: A New Approach for Predicting the Individualized Pharmacokinetics of Cholic Acid

• DOI: 10.1021/acs.jproteome.7b00218
• Publication Date: 2017-08-25T18:37:30Z
• Authors: Zhixin Zhang; Hao Gu; Huizhen Zhao; Yuehong Liu; Shuang Fu; Meiling Wang; Wenjuan Zhou; Ziye Xie; Honghong Yu; Zhenghai Huang; Xiaoyan Gao
• Keywords: 0303 health sciences; 03 medical and health sciences; Area Under Curve; Isotope Labeling; Metabolome; Animals; Humans; Metabolomics; Cholic Acid; Rats

The evaluation of individual variability in endogenous drugs' metabolism and disposition is a very challenging task. We developed and validated a metabotype to pharmacokinetics (PK) matching approach by taking cholic acid as an example to predict the individualized PK of endogenous drugs. The stable isotope-labeled cholic acid was selected as the substitute analyte of cholic acid to ensure the accurate measurement of blood concentration. First, large-scale metabolite profiling studies were performed on the predose urine samples of 28 rats. Then, to examine the individualized PK of deuterium 4-cholic acid (d4-cholic acid) in these rats, we determined its plasma concentrations and calculated the differential AUC values. Subsequently, we conducted a two-stage partial least-squares analysis in which 31 baseline metabolites were screened initially for predicting the individualized AUC values of d4-cholic acid using the data of predose urine metabolites. Finally, network biology analysis was applied to give the biological interpretation of the individual variances in cholic acid metabolism and disposition, and the result further narrowed the selection of baseline metabolites from 31 to 2 (sarcosine and S-adenosyl-l-homocysteine) for such prediction. Collectively, this pharmacometabolomics research provided a new strategy for predicting individualized PK of endogenous drugs.