Simultaneously quantifying parent drugs and screening for metabolites in plasma pharmacokinetic samples using selected reaction monitoring information-dependent acquisition on a QTrap instrument

Bioanalytical support of plasma pharmacokinetic (PK) studies for drug discovery programs primarily involves the quantitative analysis of dosed compounds using liquid chromatography/atmospheric pressure ionization tandem mass spectrometry (LC/MS/MS) operated in selected reaction monitoring (SRM) mode. However, there is a growing need for information on the metabolism of new chemical entities (NCEs), in addition to the time-concentration profiles from these studies. In this paper, we present a novel approach to not only quantify parent drugs with SRM, but also simultaneously screen for metabolites using a hybrid triple quadrupole/linear ion trap (QqQ(LIT)) instrument. This was achieved by incorporating both the conventional SRM-only acquisition of parent compounds and the SRM-triggered information-dependent acquisition (IDA) of potential metabolites within the same scan cycle during the same LC/MS/MS run. Two test compounds were used to demonstrate the applicability of this approach. Plasma samples from PK studies were processed by simple protein precipitation and the supernatant was diluted with water before injection. The fast scanning capability of the linear ion trap allowed for the information-dependent acquisition of metabolite MS/MS spectra (<1 s/scan), in addition to the collection of adequate data points for SRM-only channels. The MS/MS spectra obtained from potential metabolites in post-dose samples correlated well with the spectra of the parent compounds studied, therefore providing additional confirmatory structure information without the need for repetitive analyses. Relative quantitative time-concentration profiles of identified metabolites were also obtained. Furthermore, this articulated SRM+SRM-IDA approach generated equivalent quantitative results for parent compounds to those obtained by conventional SRM-only analysis. This approach has been successfully used to support discovery PK screening programs.     

General unknown screening procedure for the characterization of human drug metabolites in forensic toxicology: Applications and constraints

LC coupled to single (LC–MS) and tandem (LC–MS/MS) mass spectrometry is recognized as the most powerful analytical tools for metabolic studies in drug discovery. In this article, we describe five cases illustrating the utility of screening xenobiotic metabolites in routine analysis of forensic samples using LC–MS/MS. Analyses were performed using a previously published LC–MS/MS general unknown screening (GUS) procedure developed using a hybrid linear IT–tandem mass spectrometer. In each of the cases presented, the presence of metabolites of xenobiotics was suspected after analyzing urine samples. In two cases, the parent drug was also detected and the metabolites were merely useful to confirm drug intake, but in three other cases, metabolite detection was of actual forensic interest. The presented results indicate that: (i) the GUS procedure developed is useful to detect a large variety of drug metabolites, which would have been hardly detected using targeted methods in the context of clinical or forensic toxicology; (ii) metabolite structure can generally be inferred from their “enhanced” product ion scan spectra; and (iii) structure confirmation can be achieved through in vitro metabolic experiments or through the analysis of urine samples from individuals taking the parent drug.     

Method for rapid metabolite profiling of drug candidates in fresh hepatocytes using liquid chromatography coupled with a hybrid quadrupole linear ion trap

Rapid information on metabolic profiling is required to evaluate the structural liabilities of drug candidates in early drug discovery. In this study, a sensitive and rapid semi-quantitative method was developed to simultaneously monitor the drug candidate and metabolites as well as collect tandem mass (MS/MS) spectra for subsequent metabolite identification. The simultaneous semi-quantitation and identification of metabolites in fresh hepatocytes is achieved using high-performance liquid chromatography (HPLC) coupled with a hybrid quadrupole linear ion trap. The survey experiment consists of monitoring multiple-reaction monitoring (MRM) transitions for the internal standard, the parent, and 48 MRM transitions designed to cover the most common phase I and II biotransformations. An information-dependent acquisition (IDA) method was employed to trigger product ion scans above the MRM signal threshold. Three biotransformations of a lead compound have been identified through enhanced product ion scans and the respective MRM transitions of those metabolites were selected for semi-quantitation. Parent disappearance and formation of the metabolites as a function of incubation time in five different species were monitored by their respective MRM responses. The method provides the necessary sensitivity to detect minor metabolites in a relevant therapeutic concentration range. Enzymatic turnover of the parent and the metabolites in different species are revealed based on the different initial concentrations of the parent. This methodology integrates the parent disappearance, metabolite identification, and the formation of the metabolites along the time course using a single rapid LC/MS/MS analysis. This method can be used as a complementary tool to the conventional method of metabolic profiling. It provides a rapid and sensitive initial profile of the metabolism of potential structural series at the lead selection stage. The method can also be incorporated into the overall metabolite profiling scheme to evaluate the drug candidates in drug discovery.     

Rapid screening and characterization of drug metabolites using multiple ion monitoring dependent product ion scan and postacquisition data mining on a hybrid triple quadrupole‐linear ion trap mass spectrometer

Multiple ion monitoring (MIM)‐dependent acquisition with a triple quadrupole‐linear ion trap mass spectrometer (Q‐trap) was previously developed for drug metabolite profiling. In the analysis, multiple predicted metabolite ions are monitored in both Q1 and Q3 regardless of their fragmentations. The collision energy in Q2 is set to a low value to minimize fragmentation. Once an expected metabolite is detected by MIM, enhanced product ion (EPI) spectral acquisition of the metabolite is triggered. To analyze in vitro metabolites, MIM‐EPI retains the sensitivity and selectivity similar to that of multiple reaction monitoring (MRM)‐EPI in the analysis of in vitro metabolites. Here we present an improved approach utilizing MIM‐EPI for data acquisition and multiple data mining techniques for detection of metabolite ions and recovery of their MS/MS spectra. The postacquisition data processing tools included extracted ion chromatographic analysis, product ion filtering and neutral loss filtering. The effectiveness of this approach was evaluated by analyzing oxidative metabolites of indinavir and glutathione (GSH) conjugates of clozapine and 4‐ethylphenol in liver microsome incubations. Results showed that the MIM‐EPI‐based data mining approach allowed for comprehensive detection of metabolites based on predicted protonated molecules, product ions or neutral losses without predetermination of the parent drug MS/MS spectra. Additionally, it enabled metabolite detection and MS/MS acquisition in a single injection. This approach is potentially useful in high‐throughout screening of metabolic soft spots and reactive metabolites at the drug discovery stage. Copyright © 2009 John Wiley & Sons, Ltd.     

A strategy for metabolite identification using triple-quadrupole mass spectrometry with enhanced resolution and accurate mass capability

Using a single platform of a triple-quadrupole mass spectrometer equipped with enhanced resolution and accurate mass capabilities, a strategy for metabolite identification of a drug in a biological matrix has been demonstrated. The strategy is based on first screening for metabolites via neutral loss and precursor ion scan schemes, devised as the result of the product ion spectrum of a matrix-free standard of the drug. The accurate masses of the precursor ions identified via the two scan schemes plus the precursor ions of structurally likely metabolites are then determined by enhanced resolution, accurate mass (AM) selected ion monitoring (SIM). The identities of the metabolites are further established by determining the accurate masses of the product ions via enhanced resolution AM selected reaction monitoring (SRM). The feasibility of the strategy was demonstrated using a liver microsome incubation sample of nefazodone, an antidepressant drug. The neutral loss and precursor ion screening runs were able to identify most of the metabolites of nefazodone. The subsequent SIM and SRM experiments gave mass accuracy of better than +/-0.003 u for the masses of the precursor and product ions of nefazodone and all the metabolites. The ability to perform metabolite screening by using the scan features followed by accurate mass determinations on the same instrument is an attractive feature of using a triple-quadrupole mass spectrometer with enhanced resolution and accurate mass capability.     

The use of liquid chromatography-atmospheric pressure chemical ionization mass spectrometry to explore the in vitro metabolism of cyanoalkyl piperidine derivatives

A LC/MS method using atmospheric pressure chemical ionization, positive ion mode and full scan to measure the in vitro metabolic stability of cyanoalkyl functionalized compounds with the human liver microsomes was employed. Percentage metabolism examined for the five cyanoalkyl piperidines revealed the optimal chain length and positioning of these functions to produce the most metabolically stable compound. The 4-cyanomethyl piperidine derivative was the most stable compound with 15% metabolism after 15 min incubation with human liver microsomes. In general, the major metabolites formed from the cyanoalkyl piperidine derivatives were due to oxidation of the cyanoalkyl chain or the piperidine fragment, resulting in a M+16 ion. However, the 2-cyanomethyl piperidine derivative exhibited an interesting biotransformation pathway with unusual metabolite peaks corresponding to M+5, M-11 and M+21 ions. Data-dependent MS/MS scanning was used to generate daughter ion spectra from the parent compound and its metabolite peaks. Based on the fragmentation analysis, a carboxylic acid, aldehyde and oxidative metabolite of the carboxylic acid structure have been proposed for M+5, M-11 and M+21 ions, respectively.     

Two-dimensional liquid chromatography/mass spectrometry set-up for structural elucidation of metabolites in complex biological matrices

For absorption, distribution, metabolism and excretion (ADME) studies of drug candidates, mass spectrometry (MS) has become an indispensable tool for the characterization of biotransformation pathways. Samples from in vivo animal studies such as plasma, tissue extracts or excreta contain vast amounts of endogenous compounds. Therefore, the generation of metabolite patterns requires dedicated sample pre-treatment and sophisticated separation methods. Methodologies used for metabolite separation are often inappropriate for structure elucidation. Therefore, a two-dimensional liquid chromatography (LC) approach in combination with MS was developed. Study samples were analyzed using high-performance liquid chromatography (HPLC) for the generation of a qualitative and quantitative metabolite pattern (first dimension) with high reproducibility and recovery without extensive sample pre-treatment. Selected radioactive metabolite fractions were then applied to micro-HPLC with off-line radioactivity monitoring and subsequent MS detection (second dimension). Applying the two-dimensional HPLC/MS approach not only major metabolites could be identified, even minor and trace metabolites were characterized. The usage of sampled metabolite fractions allowed also the re-analysis of specific metabolites for additional investigations (e.g. H/D exchange experiments or product ion scanning experiments). It could be clearly shown that the two-dimensional HPLC/MS approach showed mass spectra with higher sensitivity and selectivity significantly improving the characterization of minor and trace metabolites in in vivo ADME studies.     

LC-ESI/MS/MS method for rapid screening and confirmation of 44 exogenous anabolic steroids in human urine

A sensitive and rapid method based on liquid chromatography-triple-quadrupole tandem mass spectrometry (LC-MS/MS) with electrospray ionization (ESI) has been developed and validated for the screening and confirmation of 44 exogenous anabolic steroids (29 parent steroids and 15 metabolites) in human urine. The method involves an enzymatic hydrolysis, liquid-liquid extraction, and detection by LC-MS/MS. A triple-quadrupole mass spectrometer was operated in positive ESI mode with selected reaction monitoring (SRM) mode for the screening and product ion scan mode for the confirmation. The protonated molecular ions were used as precursor ions for the SRM analysis and product ion scan. The intraday and interday precisions of the target analytes at concentrations of the minimum required performance levels for the screening were 2-14% and 2-15%, respectively. The limits of detection for the screening and confirmation method were 0.1-10 ng/mL and 0.2-10 ng/mL, respectively, for 44 steroids. This method was successfully applied to analysis of urine samples from suspected anabolic steroid abusers.     

Application of a linear ion trap/orbitrap mass spectrometer in metabolite characterization studies: Examination of the human liver microsomal metabolism of the non-tricyclic anti-depressant nefazodone using data-dependent accurate mass measurements

We report herein, facile metabolite identification workflow on the anti-depressant nefazodone, which is derived from accurate mass measurements based on a single run/experimental analysis. A hybrid LTQ/orbitrap mass spectrometer was used to obtain accurate mass full scan MS and MS/MS in a data-dependent fashion to eliminate the reliance on a parent mass list. Initial screening utilized a high mass tolerance ( approximately 10 ppm) to filter the full scan MS data for previously reported nefazodone metabolites. The tight mass tolerance reduces or eliminates background chemical noise, dramatically increasing sensitivity for confirming or eliminating the presence of metabolites as well as isobaric forms. The full scan accurate mass analysis of suspected metabolites can be confirmed or refuted using three primary tools: (1) predictive chemical formula and corresponding mass error analysis, (2) rings-plus-double bonds, and (3) accurate mass product ion spectra of parent and suspected metabolites. Accurate mass characterization of the parent ion structure provided the basis for assessing structural assignment for metabolites. Metabolites were also characterized using parent product ion m/z values to filter all tandem mass spectra for identification of precursor ions yielding similar product ions. Identified metabolite parent masses were subjected to chemical formula calculator based on accurate mass as well as bond saturation. Further analysis of potential nefazodone metabolites was executed using accurate mass product ion spectra. Reported mass measurement errors for all full scan MS and MS/MS spectra was <3 ppm, regardless of relative ion abundance, which enabled the use of predictive software in determining product ion structure. The ability to conduct biotransformation profiling via tandem mass spectrometry coupled with accurate mass measurements, all in a single experimental run, is clearly one of the most attractive features of this methodology.     

Distinguishing a phosphate ester prodrug from its isobaric sulfate metabolite by mass spectrometry without the metabolite standard

A phosphate prodrug of a phenolic or alcoholic drug is isobaric with the putative sulfate metabolite of the drug. During liquid chromatography/tandem mass spectrometry (LC/MS/MS) analysis of biological samples obtained after the administration of a phosphate prodrug, a product ion arising from the parent drug portion of the prodrug molecule is commonly used in selected reaction monitoring (SRM) utilized for the simultaneous quantitation of the prodrug and the in vivo generated parent drug. While the advantage of using a drug moiety‐specific LC‐SRM method is obvious, one drawback is that the sulfate metabolite will also respond to such an SRM transition since the metabolite will invariably yield the same product ion as the prodrug. Thus, the sulfate metabolite could be mistaken for the prodrug unless chromatographic separation between the two is achieved. In the absence of a reference standard for the sulfate metabolite to demonstrate chromatographic separation, it is important to establish a procedure that can ascertain the absence of the sulfate metabolite in the study samples to ensure the specificity of the method for the prodrug. To this end, we studied the MS/MS behavior of model phosphate and sulfate ester compounds and developed a procedure based on phosphate‐specific and sulfate‐specific product ions for distinguishing the phosphate prodrug from the sulfate metabolite. Copyright © 2009 John Wiley & Sons, Ltd.     

Tentative identification of new metabolites of epimedin C by liquid chromatography-mass spectrometry

Epimedin C is one of the major bioactive constituents of Herba Epimedii. The aim of this study is to characterize and elucidate the structure of metabolites in the rat after administration of epimedin C. Metabolite identification was performed using a predictive multiple reaction monitoring-information dependent acquisition-enhanced product ion (pMRM-IDA-EPI) scan in positive ion mode on a hybrid triple quadrupole-linear ion trap mass spectrometer. A total of 18 metabolites were characterized by the changes in their protonated molecular masses, their MS/MS spectrum and their retention times compared with those of the parent drug. The results reveal possible metabolite profiles of epimedin C in rats; the metabolic pathways including hydrolysis, hydroxylation, dehydrogenation, demethylation and conjugation with glucuronic acid and different sugars were observed. This study provides a practical approach for rapidly identifying complicated metabolites, a methodology that could be widely applied for the structural characterization of metabolites of other compounds.     

Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis

Characterizing the metabolic changes pertaining to hepatocellular carcinoma (HCC) in patients with liver cirrhosis is believed to contribute towards early detection, treatment, and understanding of the molecular mechanisms of HCC. In this study, we compare metabolite levels in sera of 78 HCC cases with 184 cirrhotic controls by using ultra performance liquid chromatography coupled with a hybrid quadrupole time-of-flight mass spectrometry (UPLC–QTOF MS). Following data preprocessing, the most relevant ions in distinguishing HCC cases from patients with cirrhosis are selected by parametric and non-parametric statistical methods. Putative metabolite identifications for these ions are obtained through mass-based database search. Verification of the identities of selected metabolites is conducted by comparing their MS/MS fragmentation patterns and retention time with those from authentic compounds. Quantitation of these metabolites is performed in a subset of the serum samples (10 HCC and 10 cirrhosis) using isotope dilution by selected reaction monitoring (SRM) on triple quadrupole linear ion trap (QqQLIT) and triple quadrupole (QqQ) mass spectrometers. The results of this analysis confirm that metabolites involved in sphingolipid metabolism and phospholipid catabolism such as sphingosine-1-phosphate (S-1-P) and lysophosphatidylcholine (lysoPC 17:0) are up-regulated in sera of HCC vs. those with liver cirrhosis. Down-regulated metabolites include those involved in bile acid biosynthesis (specifically cholesterol metabolism) such as glycochenodeoxycholic acid 3-sulfate (3-sulfo-GCDCA), glycocholic acid (GCA), glycodeoxycholic acid (GDCA), taurocholic acid (TCA), and taurochenodeoxycholate (TCDCA). These results provide useful insights into HCC biomarker discovery utilizing metabolomics as an efficient and cost-effective platform. Our work shows that metabolomic profiling is a promising tool to identify candidate metabolic biomarkers for early detection of HCC cases in high risk population of cirrhotic patients.     

In vivo metabolite detection and identification in drug discovery via LC-MS/MS with data-dependent scanning and postacquisition data mining

An important aspect in drug discovery is the early structural identification of the metabolites of potential new drugs. This gives information on the metabolically labile points in the molecules under investigation, suggesting structural modifications to improve their metabolic stability, and allowing an early safety assessment via the identification of metabolic activation products. From an analytical point of view, metabolite identification still remains a challenging task, especially for in vivo samples, in which they occur at trace levels together with high amounts of endogenous compounds. Here we describe a method, based on LC-ion trap tandem MS, for the rapid in vivo metabolite identification. It is based on the automatic, data-dependent acquisition of multiple product ion MS/MS scans, followed by a postacquisition search, within the entire MS/MS data set obtained, for specific neutral losses or marker ions in the tandem mass spectra of parent molecule and putative metabolites. One advantage of the method is speed, since it requires minimum sample preparation and all the necessary data can be obtained in one chromatographic run. In addition, it is highly sensitive and selective, allowing detection of trace metabolites even in the presence of a complex matrix. As an example of application, we present the studies of the in vivo metabolism of the compound MEN 15916 (1). The method allowed identification of monohydroxy ([M + H](+) = m/z 655), dihydroxy ([M + H](+) = m/z 671), and trihydroxy ([M + H](+) = m/z 687) metabolites, as well as some unexpected biotransformation products such as a carboxylic acid ([M + H](+) = m/z 669), a N-dealkylated metabolite ([M + H](+) = m/z 541), and its hydroxy-analog ([M + H](+) = m/z 557).     

Metabolite identification in rat brain microdialysates by direct infusion nanoelectrospray ionization after desalting on a ZipTip and LTQ/Orbitrap mass spectrometry

Analyzing brain microdialysate samples by mass spectrometry is challenging due to the high salt content of the artificial cerebral spinal fluid (aCSF), low analyte concentrations and small sample volumes collected. A drug and its major metabolites can be examined in brain microdialysates by targeted approaches such as selected reaction monitoring (SRM) which provides selectivity and high sensitivity. However, this approach is not well suited for metabolite profiling in the brain which aims to determine biotransformation pathways. Identifying minor metabolites, or metabolites that arise from brain metabolism, remains a challenge and, for a drug in early discovery, identification of metabolites present in the brain can provide useful information for understanding the pharmacological activity and potential toxicological liabilities of the drug. A method is described here for rapid metabolite profiling in brain microdialysates that involves sample clean‐up using C18 ZipTips to remove salts followed by direct infusion nanoelectrospray with an LTQ/Orbitrap mass spectrometer using real‐time internal recalibration. Full scan mass spectra acquired at high resolving power (100 K at m/z 400) were examined manually and with mass defect filtering. Metabolite identification was aided by sub‐parts‐per‐million mass accuracy and structural characterization was accomplished by tandem mass spectrometry (MS/MS) experiments in the Orbitrap or LTQ depending on the abundance of the metabolite. Using this approach, brain microdialysate samples from rats dosed with one of four CNS drugs (imipramine, reboxetine, citalopram or trazodone) were examined for metabolites. For each drug investigated, metabolites, some of which not previously reported in rat brain, were identified and characterized. Copyright © 2009 John Wiley & Sons, Ltd.     

Structural characterization of sulfadiazine metabolites using H/D exchange combined with various MS/MS experiments

Two major metabolites and one minor metabolite of sulfadiazine were found in pig manure, using a special combination of different MS techniques like parent and product ion scans, H/D exchange, accurate mass measurement, and MS/MS experiments with substructures. N4-acetylsulfadiazine and 4-hydroxysulfadiazine were identified as major metabolites. N4-acetylsulfadiazine could be verified by H/D exchange and comparison with product ion spectra of a synthetic reference compound. In the case of 4-hydroxysulfadiazine, the majority of possible isomers could be discounted after H/D exchange. Substructure-specific MS/MS experiments with fragment ions and comparison with product ion spectra of two references revealed the presence of 4-hydroxysulfadiazine. The minor metabolite was characterized to some degree using H/D exchange and tandem mass spectrometry in combination with a high-resolution time of flight mass spectrometer. The aminopyrimidine moiety contained an additional modification with a likely elemental composition of C2H4O and no further acidic hydrogen.     

Accurate mass filtering of ion chromatograms for metabolite identification using a unit mass resolution liquid chromatography/mass spectrometry system

Acceleration of liquid chromatography/mass spectrometric (LC/MS) analysis for metabolite identification critically relies on effective data processing since the rate of data acquisition is much faster than the rate of data mining. The rapid and accurate identification of metabolite peaks from complex LC/MS data is a key component to speeding up the process. Current approaches routinely use selected ion chromatograms that can suffer severely from matrix effects. This paper describes a new method to automatically extract and filter metabolite-related information from LC/MS data obtained at unit mass resolution in the presence of complex biological matrices. This approach is illustrated by LC/MS analysis of the metabolites of verapamil from a rat microsome incubation spiked with biological matrix (bile). MS data were acquired in profile mode on a unit mass resolution triple-quadrupole instrument, externally calibrated using a unique procedure that corrects for both mass axis and mass spectral peak shape to facilitate metabolite identification with high mass accuracy. Through the double-filtering effects of accurate mass and isotope profile, conventional extracted ion chromatograms corresponding to the parent drug (verapamil at m/z 455), demethylated verapamil (m/z 441), and dealkylated verapamil (m/z 291), that contained substantial false-positive peaks, were simplified into chromatograms that are substantially free from matrix interferences. These filtered chromatograms approach what would have been obtained by using a radioactivity detector to detect radio-labeled metabolites of interest.     

A strategy for identification of drug metabolites from dried blood spots using triple-quadrupole/linear ion trap hybrid mass spectrometry

Discovery stage studies that address issues of absorption, distribution, metabolism and excretion (ADME) are vital for lead optimization resulting in new drug candidates. Often pharmacokinetics (PK) is assessed in these experiments without regard for the metabolism of the compound or the potential for metabolites to circulate in vivo. This work presents a strategy for drug level determination and detection of metabolites using dried blood spots for sample collection. Initially, metabolites are detected from microsomal incubations and characterized using tandem mass spectrometry. Data dependent enhanced MS and enhanced product ion (EMS-EPI) scanning with dynamic background subtraction was used on a hybrid quadruple linear ion trap mass spectrometer. On-the-fly background subtraction greatly improved the detection of metabolites. These data were used to build a multiple reaction monitoring (MRM) method for the parent and metabolites. MRM-EPI scanning was used to analyze the extracted dried blood spots from the PK study. Circulating metabolites were detected using MRM and their identities confirmed on the basis of fragment ion spectra collected simultaneously. The use of dried blood spots provides a means for re-analysis of PK samples for metabolite identification without the need for complex sample storage and preparation. Both parent compound and metabolite information can be collected in these studies, resulting in a savings of time and resources.     

Ultra-high performance liquid chromatography tandem mass spectrometry for comprehensive analysis of urinary acylcarnitines

We report an enabling mass spectrometric method for the analysis of lipid metabolites in order to define better the lipid metabolome in terms of chemical diversity and generate fragment ion spectra of these metabolites as a potential resource for unknown metabolite identification. This work focuses on the analysis of one important class of lipid metabolites, the acylcarnitines. Current analytical methods have only detected and identified a limited number of these metabolites. The method described herein provides the most comprehensive acylcarnitine profile in urine of healthy individuals up to date. It involves an optimized solid phase extraction technique for selective analyte extraction using cartridges containing both lipophilic and cation-exchange properties. The captured analytes are then subjected to ultra-high performance liquid chromatography (UPLC) separation, followed by tandem mass spectrometry (MS/MS) analysis using information-dependent acquisitions and selected reaction monitoring (SRM). The urine of six healthy individuals was analyzed using this method. A total of 355 acylcarnitines were detected; only 43 of them have been previously reported in the urine of healthy individuals. Detection of this large number of acylcarnitines illustrates the great diversity of the lipid metabolome as well as the usefulness of the method for profiling acylcarnitines. Furthermore, the MS/MS spectra of the 355 acylcarnitines will be uploaded to a public human metabolome database as a mass spectrometric resource for unknown metabolite identification.     

Identifying and overcoming bioanalytical challenges associated with chlorine-containing dehydrogenation metabolites

Liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) is a widely utilized analytical tool for quantifying small molecules in complex biological matrices. In certain situations the mass-selection capabilities of the tandem mass spectrometer may be insufficient to discriminate between the analyte of interest and its metabolites, particularly those metabolites that are isobaric with the analyte. One scenario by which isobaric interference may occur is the metabolism of a chlorine- or bromine-containing small molecule to a metabolite with the concomitant loss of 2 Da. This report describes the detection and characterization of two distinct dehydrogenation [M-2] metabolites during LC/MS/MS quantification of a chlorinated small molecule in rat plasma samples derived from a toxicokinetic study. The potential isotope-related impact of these metabolites on quantification of the parent compound was assessed. Several alternate precursor ion and product ion combinations were evaluated and shown to minimize the quantitative impact of the interfering metabolites without having to rely on their stringent chromatographic resolution from the parent compound. These results indicate that when quantifying chlorine- or bromine-containing small molecules from in vivo samples or in vitro metabolic incubations: (1) efforts to detect potential dehydrogenation metabolites should be undertaken and (2) if such metabolites are detected, the judicious choice of alternate multiple-reaction monitoring (MRM) transitions can limit their impact on quantification of the parent molecule without the need for robust chromatographic resolution.     

The combination of liquid chromatography/tandem mass spectrometry and chip-based infusion for improved screening and characterization of drug metabolites

An approach has been developed for drug metabolism studies of non-radiolabeled compounds using on-line liquid chromatography/tandem mass spectrometry (LC/MS/MS) combined with chip-based infusion following fraction collection. The potential of this approach, which improves the data quality compared with only LC/MS analysis, has been investigated for the analysis of in vitro metabolites of tolcapone and talinolol, two compounds with well-characterized metabolism. The information-dependent LC/MS/MS analysis enables the characterization of the major metabolites while the chip-based infusion is used to obtain good product ion spectra for lower level metabolites, to generate complementary MS information on potential metabolites detected in the LC/MS trace, or to screen for unexpected metabolites. Fractions from the chromatographic analysis are collected in 20 second steps, into a 96-well plate. The fractions of interest can be re-analyzed with chip-based infusion on a variety of mass spectrometers including triple quadrupole linear ion trap (QqLIT or Q TRAP) and QqTOF systems. Acquiring data for several minutes using multi-channel acquisition (MCA), or signal averaging while infusing the fractions at approximately 200 nL/min, permits about a 50 times gain in sensitivity (signal-to-noise) in MS/MS mode. A 5-10 microL sample fraction can be infused for more than 30 min allowing the time to perform various MS experiments such as MS(n), precursor ion or neutral loss scans and accurate mass measurement, all in either positive or negative mode. Through fraction collection and infusion, a significant gain in data quality is obtained along with a time-saving benefit, because the original sample needs neither to be re-analyzed by re-injection nor to be pre-concentrated. Therefore, a novel hydroxylated talinolol metabolite could be characterized with only one injection.