Eric Yang

Development of a highly sensitive and selective UPLC/MS/MS method for the simultaneous determination of testosterone and 5α-dihydrotestosterone in human serum to support testosterone replacement therapy for hypogonadism

A highly sensitive and selective quantitative method to accurately determine testosterone (Te) and 5alpha-dihydrotestosterone (DHT) in human serum is crucial to the success of Te replacement therapy for hypogonadism. To this end we have developed and validated a semi-automated and relatively high-throughput method in a 96-well plate format using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC/MS/MS) for the simultaneous determination of Te and DHT in human serum. Te and DHT along with the internal standards [(2)H(3)]-Te and [(2)H(3)]-DHT were extracted from 300 microL of human serum by liquid-liquid extraction using methyl tertiary-butyl ether (MTBE), followed by derivatization with 2,3-pyridinedicarboxylic anhydride and solid-phase extraction for sample clean up. A novel chemical derivatization approach using 2,3-pyridinedicarboxylic anhydride was employed to achieve the MS sensitivity and selectivity required for DHT. Baseline separation of Te and DHT derivatives from endogenous steroid derivatives was achieved using UPLC technology on a C18 stationary-phase column with 1.7 microm particle size. The validity of using double charcoal-stripped female human serum as surrogate matrix for preparation of calibration standards was demonstrated through standard addition experiments. The method was validated over the concentration ranges of 0.2-40 ng/mL for Te and 0.01-2 ng/mL for DHT. The validation and study sample analysis results show that the method is rugged, precise, accurate, and well suited to support pharmacokinetic studies where approximately 300 samples can be extracted and analyzed in 1 day.

Steady-state brain concentrations of antihistamines in rats: interplay of membrane permeability, P-glycoprotein efflux and plasma protein binding.

The purpose of this study was to measure the in vivo brain distribution of antihistamines and assess the influence of in vitro permeability, P-glycoprotein (Pgp) efflux, and plasma protein binding. Six antihistamines (acrivastine, chlorpheniramine, diphenhydramine doxylamine, fexofenadine, terfenadine) were selected based on previously reported in vitro permeability and Pgp efflux properties and dosed intravenously to steady-state plasma concentrations of 2–10 µmol/l in rats. Plasma and brain concentrations were measured by LC/MS/MS, and protein binding determined by ultrafiltration. Doxylamine, diphenhydramine and chlorpheniramine had brain-to-plasma concentration ratios of 4.34 ± 1.26, 18.4 ± 2.35 and 34.0 ± 9.02, respectively. These drugs had high passive membrane permeability (>310 nm/s), moderate protein binding (71–84%) and were not Pgp substrates; features that yield high CNS penetration. In contrast, acrivastine and fexofenadine had low brain-to-plasma ratios of 0.072 ± 0.014 and 0.018 + 0.002, consistent with low passive membrane permeability for both compounds (16.2 and 66 nm/s, respectively) and Pgp efflux. Finally, terfenadine had a brain-to-plasma ratio of 2.21 ± 1.00 even though it underwent Pgp-mediated efflux (in vitro ratio = 2.88). Terfenadine’s high passive permeability (285 nm/s) overcame the Pgp-mediated efflux to yield brain-to-plasma ratio >1. The brain-to-unbound plasma ratio was 22-fold higher suggesting that protein binding (96.3% bound) limited terfenadine’s brain distribution. In conclusion, passive membrane permeability, Pgp-mediated efflux and/or high plasma protein binding influence the in vivo brain distribution of antihistamine drugs.

Preclinical Strategy to Reduce Clinical Hepatotoxicity Using in Vitro Bioactivation Data for >200 Compounds

Drug-induced liver injury is the most common cause of market withdrawal of pharmaceuticals, and thus, there is considerable need for better prediction models for DILI early in drug discovery. We present a study involving 223 marketed drugs (51% associated with clinical hepatotoxicity; 49% non-hepatotoxic) to assess the concordance of in vitro bioactivation data with clinical hepatotoxicity and have used these data to develop a decision tree to help reduce late-stage candidate attrition. Data to assess P450 metabolism-dependent inhibition (MDI) for all common drug-metabolizing P450 enzymes were generated for 179 of these compounds, GSH adduct data generated for 190 compounds, covalent binding data obtained for 53 compounds, and clinical dose data obtained for all compounds. Individual data for all 223 compounds are presented here and interrogated to determine what level of an alert to consider termination of a compound. The analysis showed that 76% of drugs with a daily dose of <100 mg were non-hepatotoxic (p < 0.0001). Drugs with a daily dose of ≥100 mg or with GSH adduct formation, marked P450 MDI, or covalent binding ≥200 pmol eq/mg protein tended to be hepatotoxic (∼ 65% in each case). Combining dose with each bioactivation assay increased this association significantly (80-100%, p < 0.0001). These analyses were then used to develop the decision tree and the tree tested using 196 of the compounds with sufficient data (49% hepatotoxic; 51% non-hepatotoxic). The results of these outcome analyses demonstrated the utility of the tree in selectively terminating hepatotoxic compounds early; 45% of the hepatotoxic compounds evaluated using the tree were recommended for termination before candidate selection, whereas only 10% of the non-hepatotoxic compounds were recommended for termination. An independent set of 10 GSK compounds with known clinical hepatotoxicity status were also assessed using the tree, with similar results.

Pyridazine-derived γ-secretase modulators

SAR of a novel series of pyridine-derived γ-secretase modulators is described. Compound 5 was found to be a potent modulator in vitro, which on further profiling, was found to decrease Aβ42 and Aβ40, and maintain (or increase) the levels of total Aβ. Furthermore, representative compounds 1 and 5 demonstrated in vivo efficacy to lower Aβ42 in the brain without altering Notch processing in the peripheral.

An integrated reactive metabolite evaluation approach to assess and reduce safety risk during drug discovery and development

Metabolic bioactivation is widely considered an undesirable event and a likely prerequisite step in the expression of drug-induced hepatotoxicity and hypersensitivity. Reducing bioactivation risk early in drug discovery, therefore, may help reduce compound attrition and provide safer drug therapies. In vitro bioactivation data and clinical dose for a large set of marketed drugs were analysed for their concordance with clinical hepatotoxicity and the data used to develop an early reactive metabolite strategy. A contingency table analysis of cytochrome P450 metabolism-dependent inhibition (CYP MDI), glutathione trapping data, and dose for >200 marketed drugs with or without a clinical hepatotoxic signal; and microsomal covalent binding data and dose for ∼60 marketed compounds obtained from literature publications was performed to assess concordance with hepatotoxicity. Clinical daily dose ≥100mg or glutathione adduct formation was strongly associated with hepatotoxicity (p<0.0001, p=0.003, respectively). A trend towards clinical hepatotoxicity was observed with marked CYP MDI or metabolism-dependent covalent binding ≥200pmol/mg. The percentage of hepatotoxic drugs identified by high dose (67%) increased significantly when bioactivation data were combined with dose (80-100%). As CYP MDI and glutathione adduct assays do not require the synthesis of radiolabelled compound and are relatively easy to conduct, they may be of particular value for early assessment in programs with lower risk tolerance. Such information together with an overall understanding of the metabolic properties of the compound and risk/benefit considerations may trigger further assessment. Additionally hepatic transcriptomic data (e.g., Nrf2-activated gene expression) from rat toxicity studies can provide evidence of in vivo consequences of bioactivation. As attenuation of a metabolic bioactivation risk early in drug discovery could reduce compound attrition and provide safer drug therapies, we have developed a decision-based early reactive metabolite strategy that can be tailored to the needs of individual programs.

2016 White Paper on recent issues in bioanalysis: focus on biomarker assay validation (BAV) (Part 1 – small molecules, peptides and small molecule biomarkers by LCMS)

The 2016 10th Workshop on Recent Issues in Bioanalysis (10th WRIB) took place in Orlando, Florida with participation of close to 700 professionals from pharmaceutical/biopharmaceutical companies, biotechnology companies, contract research organizations, and regulatory agencies worldwide. WRIB was once again a 5-day, weeklong event - A Full Immersion Week of Bioanalysis including Biomarkers and Immunogenicity. As usual, it was specifically designed to facilitate sharing, reviewing, discussing and agreeing on approaches to address the most current issues of interest including both small and large molecule analysis involving LCMS, hybrid LBA/LCMS, and LBA approaches, with the focus on biomarkers and immunogenicity. This 2016 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop, and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. This white paper is published in 3 parts due to length. This part (Part 1) discusses the recommendations for small molecules, peptides and small molecule biomarkers by LCMS. Part 2 (Hybrid LBA/LCMS and regulatory inputs from major global health authorities) and Part 3 (large molecule bioanalysis using LBA, biomarkers and immunogenicity) will be published in the Bioanalysis journal, issue 23.

Integrating internal and external bioanalytical support to deliver a diversified pharmaceutical portfolio.

The portfolios of pharmaceutical companies have diversified substantially over recent years in recognition that monotherapies and/or small molecules are less suitable for modulating many complex disease etiologies. Furthermore, there has been increased pressure on drug-development budgets over this same period. This has placed new challenges in the path of bioanalytical scientists, both within the industry and with contract research organizations (CROs). Large pharmaceutical, biotechnology and small-medium healthcare enterprises have had to make important decisions on what internal capabilities they wish to retain and where CROs offers a significant strategic benefit to their business model. Our journey has involved asking where we believe an internal bioanalytical facility offers the greatest benefit to progressing drug candidates through the drug-development cycle and where externalization can help free up internal resources, adding flexibility to our organization in order to deal with the inevitable peaks and troughs in workload.