Current Drug Metabolism - Volume 20, Issue 7, 2019

Background: Nanomedicine is increasingly used to treat various ailments. Biocompatibility of nanomedicine is primarily governed by its properties such as bioavailability, biotransformation and biokinetics. One of the major advantages of nanomedicine is enhanced bioavailability of drugs. Biotransformation of nanomedicine is important to understand the pharmacological effects of nanomedicine. Biokinetics includes both pharmacokinetics and toxicokinetics of nanomedicine. Physicochemical parameters of nanomaterials have extensive influence on bioavailability, biotransformation and biokinetics of nanomedicine. Methods: We carried out a structured peer-reviewed research literature survey and analysis using bibliographic databases. Results: Eighty papers were included in the review. Papers dealing with bioavailability, biotransformation and biokinetics of nanomedicine are found and reviewed. Bioavailability and biotransformation along with biokinetics are three major factors that determine the biological fate of nanomedicine. Extensive research work has been done for drugs of micron size but studies on nanomedicine are scarce. Therefore, more emphasis in this review is given on the bioavailability and biotransformation of nanomedicine along with biokinetics. Conclusion: Bioavailability results based on various nanomedicine are summarized in the present work. Biotransformation of nanodrugs as well as nanoformulations is also the focus of this article. Both in vitro and in vivo biotransformation studies on nanodrugs and its excipients are necessary to know the effect of metabolites formed. Biokinetics of nanomedicine is captured in details that are complimentary to bioavailability and biotransformation. Nanomedicine has the potential to be developed as a personalized medicine once its physicochemical properties and its effect on biological system are well understood.

Background: The representative cardiovascular herbs, i.e. Panax, Ligusticum, Carthamus, and Pueraria plants, are traditionally and globally used in the prevention and treatment of various cardiovascular diseases. Modern phytochemical studies have found many medicinal compounds from these plants, and their unique pharmacological activities are being revealed. However, there are few reviews that systematically summarize the current trends of Drug Metabolism/Pharmacokinetic (DMPK) investigations of cardiovascular herbs. Methods: Here, the latest understanding, as well as the knowledge gaps of the DMPK issues in drug development and clinical usage of cardiovascular herbal compounds, was highlighted. Results: The complicated herb-herb interactions of cardiovascular Traditional Chinese Medicine (TCM) herb pair/formula significantly impact the PK/pharmacodynamic performance of compounds thereof, which may inspire researchers to develop a novel herbal formula for the optimized outcome of different cardiovascular diseases. While the Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME/T) of some compounds has been deciphered, DMPK studies should be extended to more cardiovascular compounds of different medicinal parts, species (including animals), and formulations, and could be streamlined by versatile omics platforms and computational analyses. Conclusion: In the context of systems pharmacology, the DMPK knowledge base is expected to translate bench findings to clinical applications, as well as foster cardiovascular drug discovery and development.

Background: Recently, several strategies have been proposed for skin cancer therapy by transdermal delivery, and particularly the use of nanotechnology. Methods: This process disrupts the stratum corneum to deliver a drug through the skin, allowing it to accumulate at the tumor site. Results: Nanogels are drug delivery systems that can be applied to many diseases. Nanogel engineering has been widely studied for use in drug delivery, particularly in cancer theranostics. This review summarizes specific strategies for using nanogels to treat skin cancer, a topic that is limited in recent literature. Conclusion: Advanced techniques for effective skin cancer therapy based on the nanogel’s penetration and cellular uptake abilities will be discussed. Moreover, techniques for penetrating the skin, as well as drug release, permeation studies, and microscopic observations, will also be discussed.

Background: Gelsemium is a toxic flowering plant of the Gelsemiaceae family. It is used to treat skin diseases in China, and it is an important medicinal and homeopathic plant in North America. Up to now, more than 200 compounds have been isolated and reported from Gelsemium. More than 120 of these are indole alkaloids, including the main components, koumine, gelsemine and humantenmine which produce the pharmacological and toxicological effects of Gelsemium. However, their clinical application their limited by its narrow therapeutic window. Therefore, it is very important to study the metabolism and disposition of indole alkaloids from Gelsemium before their clinical application. This paper reviews all the reports on the metabolism and disposition of alkaloids isolated from Gelsemium at home and abroad. Methods: The metabolism and disposition of alkaloids from Gelsemium were searched by the Web of Science, NCBI, PubMed and some Chinese literature databases. Results: Only koumine, gelsemine and humantenmine have been reported, and few other alkaloids have been described. These studies indicated that the three indole alkaloids are absorbed rapidly, widely distributed in tissues, extensively metabolized and rapidly eliminated. There are species differences in the metabolism of these alkaloids, which is the reason for the differences in their toxicity in animals and humans. Conclusion: This review not only explains the pharmacokinetics of indole alkaloids from Gelsemium but also facilitates further study on their metabolism and mechanism of toxicity.

Background: The Pharmacokinetics of Methotrexate (MTX) has been reported to show significant intersubject variability. MTX is metabolized by SHMT1 and transported by OATP1B1 and OATP1B3 both of which show genetic polymorphisms. The non-genetic and genetic factors may influence the pharmacokinetics of MTX. Objective: This study aimed to determine the pharmacokinetic parameters of MTX in Chinese patients and to investigate the effect of various non-genetic factors and genetic variants of OATP1B1, OATP1B3 on MTX’s pharmacokinetics. Methods: MTX concentration and clinical characteristics data were collected from 71 rheumatoid arthritis patients. For each patient, SLC19A1, SHMT1, OATP1B1, and OATP1B3 genotyping were tested. Population pharmacokinetic analysis was performed by Nonlinear Mixed-Effect Modeling (NONMEM). MTX pharmacokinetic properties analysis was executed using the one-compartment pharmacokinetic model which incorporated first-order conditional estimation methods with interaction. Besides, the impact of genetic factors and demographic factors on MTX disposition were explored. Results: All the genotypes of steady-state plasma concentrations and OATP1B1 rs4149056, OATP1B1 rs2306283, and OATP1B3 rs7311358 were determined. The detected blood drug concentration reached the standard. Genotypes were all measured. At the same time, the population pharmacokinetic model of methotrexate was obtained CL(L·h-1) =8.25× e0.167× SNP (SNP: SLCO1B1 388A/A=3; SLCO1B1 388A/G=2; SLCO1B1 388G/G=1); V(L)= 32.8; Ka(h- 1)=1.69. Conclusion: In our study, it was showed that OATP1B1-388 G>A SNP had a significant effect on CL/F. The factor should be considered when determining MTX dosing. However, prospective studies with a large number of participants are needed to validate the results of this study.

Background: Hepatic Arterial Infusion (HAI) with raltitrexed has become an effective treatment for hepatocellular cancer and colorectal cancer liver metastases. However, traditional Body Surface Area (BSA)-based dosing is unsafe or ineffective, and a more accurate model-based approach is required. Methods: In this study, domestic swine were given 1 mg or 4 mg raltitrexed administered by an HAI with infusion times of 30, 60 and 120 min. Hepatic Artery (HA) and Peripheral Vein (PV) samples were collected, and a twocompartment model with an elimination pathway was established to describe the in vivo behavior of raltitrexed. Results: The clearance was 0.27 L/min, and the volumes of distribution were 0.35 and 6.65 L for the HA and PV compartments, respectively. The goodness-of-fit plots and visual predictive checks suggested that the proposed pharmacokinetic model agreed well with the observations. Conclusion: The pharmacokinetic model could be helpful in quantitatively describing the detailed processes of raltitrexed activity administered by HAI and determining an appropriate dosing regimen for preclinical and clinical studies.

Background: Our study aimed to investigate the pharmacogenetics of cytochrome P3A4 (CYP3A4), CYP3A5, CYP2C8, and CYP2C19 and their influence on TAC Pharmacokinetics (PKs) in short-term renal transplant recipients. Methods: A total of 105 renal transplant recipients were enrolled. Target Sequencing (TS) based on next-generation sequencing technology was used to detect all exons, exon/intron boundaries, and flanking regions of CYP3A4, CYP3A5, CYP2C8, and CYP2C19. After adjustment of Minor Allele Frequencies (MAF) and Hardy-Weinberg Equilibrium (HWE) analysis, tagger Single-nucleotide Polymorphisms (SNPs) and haplotypes were identified. Influence of tagger SNPs on TAC concentrations was analyzed. Results: A total of 94 SNPs were identified in TS analysis. Nine tagger SNPs were selected, and two SNPs (rs15524 and rs4646453) were noted to be significantly associated with TAC PKs in short-term post-transplant follow-up. Measurement time points of TAC, body mass index (BMI), usage of sirolimus, and incidence of Delayed Graft Function (DGF) were observed to be significantly associated with TAC PKs. Three haplotypes were identified, and rs15524-rs4646453 was found to remarkably contribute to TAC PKs. Recipients carrying H2/H2 (GG-AA) haplotype also showed significantly high weight- and dose-adjusted TAC concentrations in posttransplant periods of 7, 14, and 30 days and 3 and 6 months. Conclusions: Two tagger SNPs, namely, rs15524 and rs4646453, are significantly related to the variability of TAC disposition, and TAC measurement time points, BMI, usage of sirolimus, and incidence of DGF contribute to this influence. Recipients carrying H2/H2 (GG-AA) haplotype in rs15524–rs4646453 may require a low dosage of TAC during 1-year follow-up posttransplant.