To address the most appropriate endogenous biomarker for drug–drug interaction risk assessment, eight healthy subjects received an organic anion transporting polypeptide 1B (OATP1B) inhibitor (rifampicin, 150, 300, and 600 mg), and a probe drug cocktail (atorvastatin, pitavastatin, rosuvastatin, and valsartan). In addition to coproporphyrin I, a widely studied OATP1B biomarker, we identified at least 4 out of 28 compounds (direct bilirubin, glycochenodeoxycholate‐3‐glucuronide, glycochenodeoxycholate‐3‐sulfate, and hexadecanedioate) that presented good sensitivity and dynamic range in terms of the rifampicin dose‐dependent change in area under the plasma concentration‐time curve ratio (AUCR). Their suitability as OATP1B biomarkers was also supported by the good correlation of AUC0‐24h between the endogenous compounds and the probe drugs, and by nonlinear regression analysis (AUCR−1 vs. rifampicin plasma Cmax (maximum total concentration in plasma)) to yield an estimate of the inhibition constant of rifampicin. These endogenous substrates can complement existing OATP1B‐mediated drug–drug interaction risk assessment approaches based on agency guidelines in early clinical trials.
This study describes the application of liquid chromatography/mass spectrometry (LC/MS) methods for distinguishing between aliphatic and aromatic hydroxylations and between hydroxylations and N-oxidations. Hydroxylations and N-oxidations are common biotransformation reactions of drugs. Electrospray (ESI) and atmospheric pressure chemical ionization (APCI) were used to generate ions from liquid chromatographic effluents. ESI-MS, ESI-MS/MS, APCI-MS, and APCI-MS/MS experiments were performed on several metabolites and derivatives of loratadine (a long-acting and nonsedating tricyclic antihistamine) using an ion trap mass spectrometer (LCQ) and a triple-quadrupole mass spectrometer (TSQ). The observations are as follows: (1) LC/ESI-MS produced predominantly [M + H]+ ions with minor fragmentation. (2) LC/ESI-MS/MS data, however, showed a predominant loss of water from metabolites with aliphatic hydroxylation while the loss of water was not favored when hydroxylation was phenolic. N-Oxides (aromatic and aliphatic) showed only a small amount of water loss in the MS/MS spectra. (3) Under LC/APCI-MS conditions, aliphatic hydroxylation could be readily distinguished from aromatic hydroxylation based on the extent of water loss. In addition, N-oxides produced distinct [M + H - O]+ ions. These [M + H - O]+ ions were not produced in the APCI-MS spectra of hydroxylated metabolites. (4) Similar to the ESI-MS/MS spectra, the APCI-MS/MS spectra from the (M + H)+ ions of N-oxides yielded a small amount of water loss but no [M + H - O]+ ions. These results indicate that LC/APCI-MS can be used to distinguish between hydroxylated metabolites and N-oxides.
A new method is described for performing hydrogen/deuterium (H/D) exchange in an electrospray ionization (ESI) source. The use of liquid chromatography (LC)-mass spectrometer equipped with an ESI source and deuterium oxide (D 2 O) as the sheath liquid allows H/D exchange experiments to be performed on-line. This directly provides information for determining the number and position of exchangeable hydrogens, aiding in the elucidation of the structures of drug metabolites. To demonstrate the utility of this method, LC-mass spectrometry (MS) and LC-MS/MS experiments were performed using either H 2 O or D 2 O as sheath liquid on a matrix metalloprotease (MMP) inhibitor (PD 0200126) and its metabolites. Examination of the mass shift of the deuteriated molecule from that of the protonated molecule allowed the number of exchangeable protons to be determined. Interpretation of the production-spectra helped to determine the location of the exchanged protons and assisted in the assignment of the site uring the process of drug discovery, it is highly desirable to increase the number of successful drug candidates for preclinical, clinical and commercial development. Therefore, the drug discovery process is constantly scrutinized and improved [1]. Adding to this pressure is the generation of vast numbers of new chemical entities resulting from combinatorial chemistry technology [2]. Drug metabolism plays an important role in the drug discovery process [3]. Specifically, the identification of metabolites during the early stage of development can be helpful to medicinal chemists trying to block some of the metabolic hot spots and produce an appropriate drug that is less susceptible to metabolism and increase the half-life of the drug. Therefore, rapid identification of drug metabolites is imperative for drug development [4,5].Hydrogen/deuterium exchange is a well-established technique for studying structure, stability, folding dynamics, and intermolecular interactions in proteins in solution [6]. During solution phase H/D exchange, labile protons in the side chains and amide hydrogens, which are not protected from solution generally exchange rapidly. Exchanges of these unprotected hydrogens occur on the order of a few to a few tenths per second under the experimental conditions described in the aforementioned studies. If however, amide or side chain hydrogens are protected from solution (e.g., when they are hydrogen-bonded in structurally stable secondary-structure elements), the exchange rates can be considerably reduced. Methods in which H/D exchange experiments are combined with either nuclear magnetic resonance (NMR) spectroscopy or mass spectrometry are also well-established [7,8]. NMR methods, when coupled with H/D exchange are the ideal choice for monitoring individual residues or each amide hydrogen; however, these methods are limited to highly purified proteins or metabolites that are soluble at high concentrations, thus eliminating the possibility of determining structural features of drugs and metabolites that are i...
It can be argued that the last true paradigm shift in the bioanalytical (BA) arena was the shift from high-performance liquid chromatography (HPLC) with ultraviolet (UV) detection to HPLC with tandem mass spectrometry (MS/MS) detection after the commercialization of the triple quadrupole mass spectrometer in the 1990s. HPLC-MS/MS analysis based on selected reaction monitoring (SRM) has become the gold standard for BA assays and is used by all the major pharmaceutical companies for the quantitative analysis of new drug entities (NCEs) as part of the new drug discovery and development process. While LC-MS/MS continues to be the best tool for drug discovery bioanalysis, a new paradigm involving high-resolution mass spectrometry (HRMS) and ultrahigh-pressure liquid chromatography (uHPLC) is starting to make inroads into the pharmaceutical industry. The ability to collect full scan spectra, with excellent mass accuracy, mass resolution, 10-250 ms scan speeds and no NCE-related MS parameter optimization, makes the uHPLC-HRMS techniques suitable for quantitative analysis of NCEs while preserving maximum qualitative information about other drug-related and endogenous components such as metabolites, degradants, biomarkers and formulation materials. In this perspective article, we provide some insight into the evolution of the hybrid quadrupole-time-of-flight (Qq-TOF) mass spectrometer and propose some of the desirable specifications that such HRMS systems should have to be integrated into the drug discovery bioanalytical workflow for performing integrated qualitative and quantitative bioanalysis of drugs and related components.
The aim of this study was to investigate the sensitivity and specificity of endogenous glycochenodeoxycholate and glycodeoxycholate 3-O-glucuronides (GCDCA-3G and GDCA-3G) as substrates for organic anion transporting polypeptide 1B1 (OATP1B1) in humans. We measured fasting levels of plasma GCDCA-3G and GDCA-3G using liquid chromatography-tandem mass spectrometry in 356 healthy volunteers. The mean plasma levels of both compounds were ~ 50% lower in women than in men (P = 2.25 × 10 −18 and P = 4.73 × 10 −9). In a microarray-based genome-wide association study, the SLCO1B1 rs4149056 (c.521T>C, p.Val174Ala) variation showed the strongest association with the plasma GCDCA-3G (P = 3.09 × 10 −30) and GDCA-3G (P = 1.60 × 10 −17) concentrations. The mean plasma concentration of GCDCA-3G was 9.2-fold (P = 8.77 × 10 −31) and that of GDCA-3G was 6.4fold (P = 2.45x10 −13) higher in individuals with the SLCO1B1 c.521C/C genotype than in those with the c.521T/T genotype. No other variants showed independent genome-wide significant associations with GCDCA-3G or GDCA-3G. GCDCA-3G was highly efficacious in detecting the SLCO1B1 c.521C/C genotype with an area under the receiver operating characteristic curve of 0.996 (P < 0.0001). The sensitivity (98-99%) and specificity (100%) peaked at a cutoff value of 180 ng/mL for men and 90 ng/mL for women. In a haplotype-based analysis, SLCO1B1*5 and *15 were associated with reduced, and SLCO1B1*1B, *14, and *35 with increased OATP1B1 function. In vitro, both GCDCA-3G and GDCA-3G showed at least 6 times higher uptake by OATP1B1 than OATP1B3 or OATP2B1. These data indicate that the hepatic uptake of GCDCA-3G and GDCA-3G is predominantly mediated by OATP1B1. GCDCA-3G, in particular, is a highly sensitive and specific OATP1B1 biomarker in humans.
Endogenous biomarkers are emerging to advance clinical drug-drug interaction (DDI) risk assessment in drug development. Twelve healthy subjects received a multidrug and toxin exclusion protein (MATE) inhibitor (pyrimethamine, 10, 25, and 75 mg) in a crossover fashion to identify an appropriate endogenous biomarker to assess MATE1/2-K-mediated DDI in the kidneys. Metformin (500 mg) was also given as reference probe drug for MATE1/2-K. In addition to the previously reported endogenous biomarker candidates (creatinine and N 1methylnicotinamide (1-NMN)), N 1-methyladenosine (m 1 A) was included as novel biomarkers. 1-NMN and m 1 A presented as superior MATE1/2-K biomarkers since changes in their renal clearance (CL r) along with pyrimethamine dose were well-correlated with metformin CL r changes. The CL r of creatinine was reduced by pyrimethamine, however, its changes poorly correlated with metformin CL r changes. Nonlinear regression analysis (CL r vs. mean total concentration of pyrimethamine in plasma) yielded an estimate of the inhibition constant (K i) of pyrimethamine and the fraction of the clearance pathway sensitive to pyrimethamine. The in vivo K i value thus obtained was further converted to unbound Ki using plasma unbound fraction of pyrimethamine, which was comparable to the in vitro K i for MATE1 (1-NMN) and MATE2-K (1-NMN and m 1 A). It is concluded that 1-NMN and m 1 A CL r can be leveraged as quantitative MATE1/2-K biomarkers for DDI risk assessment in healthy volunteers.
There is a growing interest in using endogenous compounds as drug transporter biomarkers to facilitate drug–drug interaction (DDI) risk assessment in early phase I clinical trials. Compared to other drug transporters, however, no valid biomarker for hepatic organic cation transporter (OCT) 1 has been described to date. The present work represents the first report of an endogenous compound, isobutyryl-l-carnitine (IBC), as a potential clinical OCT1 biomarker for DDI assessment. A hydrophilic interaction chromatography (HILIC)-mass spectrometry/high resolution mass spectrometry (MS/HRMS) assay with a simple sample preparation method was developed. The assay is capable of simultaneously quantifying multiple endogenous compounds, including IBC, thiamine, N1-methylnicotinamide (1-NMN), creatinine, carnitine, and metformin, which is a probe for OCT1 and OCT2 and MATE1 and MATE2K (multidrug and toxin extrusion proteins) in clinical studies. The HRMS assay was fit-for-purpose validated in human plasma and demonstrated good linearity, accuracy, and precision for all analytes. It was further applied to two phase I clinical trials to evaluate potential biomarkers for OCT1 and additional cation transporters (renal OCT2, MATE1, and MATE2K). The clinical data demonstrated that plasma IBC changes correlated well with in vitro data and supported its use as a liver OCT1 biomarker. The described HILIC-MS/HRMS assay can be used as a “biomarker cocktail” to simultaneously assess clinical DDI risk for the inhibition of OCT1/2 and MATEs in clinical studies with new drug candidates.
In the pharmaceutical industry, a higher attrition rate during the drug discovery process means a lower drug failure rate in the later stages. This translates into shorter drug development time and reduced cost for bringing a drug to market. Over the past few years, analytical strategies based on liquid chromatography/mass spectrometry (LC/MS) have gone through revolutionary changes and presently accommodate most of the needs of the pharmaceutical industry. Among these LC/MS techniques, collision induced dissociation (CID) or tandem mass spectrometry (MS/MS and MS(n)) techniques have been widely used to identify unknown compounds and characterize metabolites. MS/MS methods are generally ineffective for distinguishing isomeric compounds such as metabolites involving oxygenation of carbon or nitrogen atoms. Most recently, atmospheric pressure ionization (API) source decomposition methods have been shown to aid in the mass spectral distinction of isomeric oxygenated (N-oxide vs hydroxyl) products/metabolites. In previous studies, experiments were conducted using mass spectrometers equipped with a heated capillary interface between the mass analyzer and the ionization source. In the present study, we investigated the impact of the length of a heated capillary or heated ion transfer tube (a newer version of the heated capillary designed for accommodating orthogonal API source design) in inducing for-API source deoxygenation that allows the distinction of N-oxide from hydroxyl compounds. 8-Hydroxyquinoline (HO-Q), quinoline-N-oxide (Q-NO) and 8-hydroxyquinoline-N-oxide (HO-Q-NO) were used as model compounds on three different mass spectrometers (LCQ Deca, LCQ Advantage and TSQ Quantum). Irrespective of heated capillary or ion transfer tube length, N-oxides from this class of compounds underwent predominantly deoxygenation decomposition under atmospheric pressure chemical ionization conditions and the abundance of the diagnostic [M + H - O](+) ions increased with increasing vaporizer temperature. Furthermore, the results suggest that in API source decompostion methods described in this paper can be conducted using mass spectrometers with non-heated capillary or ion transfer tube API interfaces. Because N-oxides can undergo in-source decomposition and interfere with quantitation experiments, particular attention should be paid when developing API based bioanalytical methods.
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