Non-steroidal anti-inflammatory drugs increase urinary neutrophil gelatinase-associated lipocalin in recreational runners.

OBJECTIVES: To study the effects of running with/without the use of pain killers on urinary neutrophil gelatinase-associated lipocalin (uNGAL) and other parameters of kidney function in recreational runners. METHODS: Participants of the 10- and 21.1-km Weir Venloop race were enrolled and their urine samples collected before and after the run. Urine dipstick and other conventional tests used to assess kidney function were performed. The presence of ibuprofen, diclofenac, naproxen, and/or paracetamol was assessed by LC-MS/MS. uNGAL was measured with a two-step chemiluminescent immunoassay. RESULTS: NSAIDs/analgesics were detected in urine of 5 (14.4%) 10-km runners and 13 (28.9%) 21.1-km runners. Only half-marathon participants showed significant increases in uNGAL (pre: 11.7 [7.1-34.3] ng/mL; post: 33.4 [17.4-50.4] ng/mL; P = .0038). There was a significant effect of NSAID/analgesic use on uNGAL increase (F2, 76  = 4.210, P = .004). Post hoc tests revealed that uNGAL increased significantly in runners who tested positive for ibuprofen/naproxen compared to runners who did not use any medications (P = .045) or those who tested positive for paracetamol (P = .033). Running distance had a significant influence on the increase in uNGAL (F1, 53  = 4.741, P < .05), specific gravity (F1, 60  = 9.231, P < .01), urinary creatinine (F1, 61  = 10.574, P < .01), albumin (F1, 59  = 4.888, P < .05), and development of hematuria (χ2 (4) = 18.44, P = .001). CONCLUSIONS: Running distance and use of ibuprofen/naproxen were identified as risk factors for uNGAL increase in recreational runners.

A Molecularly Imprinted Polymer-based Dye Displacement Assay for the Rapid Visual Detection of Amphetamine in Urine.

The rapid sensing of drug compounds has traditionally relied on antibodies, enzymes and electrochemical reactions. These technologies can frequently produce false positives/negatives and require specific conditions to operate. Akin to antibodies, molecularly imprinted polymers (MIPs) are a more robust synthetic alternative with the ability to bind a target molecule with an affinity comparable to that of its natural counterparts. With this in mind, the research presented in this article introduces a facile MIP-based dye displacement assay for the detection of (±) amphetamine in urine. The selective nature of MIPs coupled with a displaceable dye enables the resulting low-cost assay to rapidly produce a clear visual confirmation of a target's presence, offering huge commercial potential. The following manuscript characterizes the proposed assay, drawing attention to various facets of the sensor design and optimization. To this end, synthesis of a MIP tailored towards amphetamine is described, scrutinizing the composition and selectivity (ibuprofen, naproxen, 2-methoxphenidine, quetiapine) of the reported synthetic receptor. Dye selection for the development of the displacement assay follows, proceeded by optimization of the displacement process by investigating the time taken and the amount of MIP powder required for optimum displacement. An optimized dose-response curve is then presented, introducing (±) amphetamine hydrochloride (0.01-1 mg mL-1) to the engineered sensor and determining the limit of detection (LoD). The research culminates in the assay being used for the analysis of spiked urine samples (amphetamine, ibuprofen, naproxen, 2-methoxphenidine, quetiapine, bupropion, pheniramine, bromopheniramine) and evaluating its potential as a low-cost, rapid and selective method of analysis.

Hybrid monoliths with metal-organic frameworks in spin columns for extraction of non-steroidal drugs prior to their quantitation by reversed-phase HPLC.

A (glycidyl methacrylate)-co-(ethylene glycol dimethacrylate) polymer (poly(GMA-co-EDMA)) was functionalized with metal-organic frameworks (MOF) and used as a sorbent for solid-phase extraction (SPE). The polymeric sorbent was prepared in-situ by photopolymerization in a previously wall-modified spin column, and then modified with an amino-modified MOF of type NH2-MIL-101(Cr). The sorbents were used for the extraction of nonsteroidal anti-inflammatory drugs (NSAIDs) from human urine samples. The sorbent was compared with the parent monolith and embedded approach, where the MOF particles are admixed in the polymerization mixture before the in-situ polymerization in the modified spin column. SPE is performed by percolating the sample solutions in a centrifuge, which streamlines the SPE steps. The hybrid composites were characterized by scanning electron microscopy and nitrogen intrusion porosimetry. Three NSAIDs (ketoprofen, flurbiprofen, and ibuprofen) were tested. They were eluted from the sorbent with acidified water-acetonitrile mixtures and subsequently analyzed by reversed-phase HPLC with UV detection. The detection limits varied in the range from 0.1 to 7 µg·L-1, and the precisions (relative standard deviation) were <14% in all the cases. The recoveries were between 71.0 and 78.0% in spiked urine samples. Graphical abstractA hybrid monolith modified with amino-modified MOF [named NH2-MIL-101(Cr)] in wall-modified spin columns was prepared. The resulting micro-extraction device was applied to the extraction and preconcentration of non-steroidal anti-inflammatory drugs.

A rapid and sensitive method for the quantitative analysis of ibuprofen and its metabolites in equine urine samples by gas chromatography with tandem mass spectrometry.

Ibuprofen is widely used in human and veterinary medicine for the treatment of chronic pain as well as rheumatic and musculoskeletal disorders. However, the analgesic and anti-inflammatory properties of Ibuprofen have contributed to frequent drug abuse in equestrian sports. A sensitive and rapid gas chromatography with tandem mass spectrometry based method with a simple liquid-liquid extraction and derivatization requiring 200 µL volume of sample and 2 mL of extraction solvent for the simultaneous determination of ibuprofen and its metabolites was developed. The proposed procedure was optimized and validated according to the principles for bioanalytical methods. The assay achieved satisfactory validation parameters, namely, recovery (92.2-105%), interday accuracy (92.5-106%), and precision (0.3-4.4%) for all investigated compounds as well as limits of quantification of 50 ng/mL for ibuprofen, 2-hydroxyibuprofen, and carboxyibuprofen, 25 ng/mL for 1-hydroxyibuprofen and 100 ng/mL for 3-hydroxyibuprofen. The applicability of the method was evaluated by the analysis of five real urine samples collected from different horses after drug administration. In view of the low limits of quantification, high selectivity, repeatability, and recovery, the procedure can be utilized for laboratory applications, including the control of ibuprofen abuse in equestrian sports for anti-doping purposes and drug/pharmaceutical mentality investigations.

Single-drop microextraction combined in-line with capillary electrophoresis for the determination of nonsteroidal anti-inflammatory drugs in urine samples.

This study describes a method to determine nonsteroidal anti-inflammatory drugs (NSAIDs) in urine samples based on the use of single-drop microextraction (SDME) in a three-phase design as a preconcentration technique coupled in-line to capillary electrophoresis. Different parameters affecting the extraction efficiency of the SDME process were evaluated (e.g. type of extractant, volume of the microdroplet, and extraction time). The developed method was successfully applied to the analysis of human urine samples with LODs ranging between 1.0 and 2.5 µg/mL for all of the NSAIDs under study. This method shows RSD values ranging from 8.5 to 15.3% in interday analysis. The enrichment factors were calculated, resulting 27-fold for ketoprofen, 14-fold for diclofenac, 12-fold for ibuprofen, and 44-fold naproxen. Samples were analyzed applying the SDME-CE method and the obtained results presented satisfactory recovery values (82-115%). The overall method can be considered a promising approach for the analysis of NSAIDs in urine samples after minimal sample pretreatment.

Assessment of maternal drug intake by urinary bio monitoring during pregnancy and postpartally until the third perinatal year.

PURPOSE: Although sales of prescribed and over-the-counter (OTC) medication are rising, little is known about individual drug intake. This study was aimed to obtain complementary information about drug intake. METHOD: Information on drug utilization was obtained in a female cohort for five different time points (TP): 36th week of pregnancy (n = 622), 7th perinatal week (n = 533), 3rd perinatal month (n = 340), and 1st perinatal (n = 534) and 3rd perinatal year (n = 324) by a validated urine screening method. RESULTS: Drugs were detected 807 times among all analyzed samples (n = 2353) with less drug intake for early TP compared with later TP (~24.4%, n = 152; ~33.8%, n = 180; ~23.2%, n = 79; ~42.5%, n = 227; and ~52.2%, n = 169). The diversity of drugs increased from 25 up to 40 different drugs for the investigated period. OTC drugs were detected most frequently reflected by the top three drugs: acetaminophen (~37%, n = 292), ibuprofen (~23%, n = 183), and xylometazoline (~12%, n = 98). Mainly guideline-orientated drug therapy was observed. However, contraindicated ibuprofen intake during third trimester urine samples (n = 26) and a repeated usage of acetaminophen and/or ibuprofen (n = 9), as well as xylometazoline (n = 7), reveal missing information about drug safety. CONCLUSION: Bio monitoring was applied for detection of drug intake revealing a lack of information about OTC products and their health risks. Hence, information about health risks for certain drugs and patient groups must be improved for and by pharmacists, to avoid (i) usage of contraindicated drugs and (ii) abuse of OTC drugs.

Determination of ibuprofen in human plasma and urine by gas chromatography/mass spectrometry.

This paper describes a GC/MS method for the determination of ibuprofen in human plasma and urine. Ibuprofen and internal standard naproxen were extracted from plasma and urine by using a liquid-liquid extraction method. Derivatization was carried out using N-methyl-N-(trimethylsilyl) trifluoroacetamide. Calibration curves were linear over the concentration range of 0.05-5.0 and 0.1-10.0 microg/mL for plasma and urine, respectively. Intraday and interday precision (RSD) values for ibuprofen in plasma and urine were less than 6.31%, and accuracy (relative error) was better than 12.00%. The mean recovery of ibuprofen was 89.53% for plasma and 93.73% for urine. The LOD was 0.015 and 0.03 microg/mL and the LOQ was 0.05 and 0.1 microg/mL for plasma and urine, respectively. The method was successfully applied to blood samples from three healthy male volunteers who had been given an oral tablet of 600 mg ibuprofen.

A comparison of self-reported analgesic use and detection of urinary ibuprofen and acetaminophen metabolites by means of metabonomics: the INTERMAP Study.

Information on dietary supplements, medications, and other xenobiotics in epidemiologic surveys is usually obtained from questionnaires and is subject to recall and reporting biases. The authors used metabolite data obtained from hydrogen-1 (or proton) nuclear magnetic resonance ((1)H NMR) analysis of human urine specimens from the International Study of Macro-/Micro-Nutrients and Blood Pressure (INTERMAP Study) to validate self-reported analgesic use. Metabolic profiling of two 24-hour urine specimens per individual was carried out for 4,630 participants aged 40-59 years from 17 population samples in Japan, China, the United Kingdom, and the United States (data collection, 1996-1999). (1)H NMR-detected acetaminophen and ibuprofen use was low (∼4%) among East Asian population samples and higher (>16%) in Western population samples. In a comparison of self-reported acetaminophen and ibuprofen use with (1)H NMR-detected acetaminophen and ibuprofen metabolites among 496 participants from Chicago, Illinois, and Belfast, Northern Ireland, the overall rate of concordance was 81%-84%; the rate of underreporting was 15%-17%; and the rate of underdetection was approximately 1%. Comparison of self-reported unspecified analgesic use with (1)H NMR-detected acetaminophen and ibuprofen metabolites among 2,660 Western INTERMAP participants revealed similar levels of concordance and underreporting. Screening for urinary metabolites of acetaminophen and ibuprofen improved the accuracy of exposure information. This approach has the potential to reduce recall bias and other biases in epidemiologic studies for a range of substances, including pharmaceuticals, dietary supplements, and foods.

Chiral metabonomics: 1H NMR-based enantiospecific differentiation of metabolites in human urine via direct cosolvation with ß-cyclodextrin.

Differences in molecular chirality remain an important issue in drug metabolism and pharmacokinetics for the pharmaceutical industry and regulatory authorities, and chirality is an important feature of many endogenous metabolites. We present a method for the rapid, direct differentiation and identification of chiral drug enantiomers in human urine without pretreatment of any kind. Using the well-known anti-inflammatory chemical ibuprofen as one example, we demonstrate that the enantiomers of ibuprofen and the diastereoisomers of one of its main metabolites, the glucuronidated carboxylate derivative, can be resolved by (1)H NMR spectroscopy as a consequence of direct addition of the chiral cosolvating agent (CSA) ß-cyclodextrin (ßCD). This approach is simple, rapid, and robust, involves minimal sample manipulation, and does not require derivatization or purification of the sample. In addition, the method should allow the enantiodifferentiation of endogenous chiral metabolites, and this has potential value for differentiating metabolites from mammalian and microbial sources in biofluids. From these initial findings, we propose that more extensive and detailed enantiospecific metabolic profiling could be possible using CSA-NMR spectroscopy than has been previously reported.

In-situ synthesis of nanocubic cobalt oxide @ graphene oxide nanocomposite reinforced hollow fiber-solid phase microextraction for enrichment of non-steroidal anti-inflammatory drugs from human urine prior to their quantification via high-performance liquid chromatography-ultraviolet detection.

The in-situ synthesis and application of nanocubic Co3O4-coated graphene oxide (Co3O4@ GO) was introduced for the first time to present a cost-effective, stable and convenient operation and a simple device for hollow fiber solid-phase microextraction (HF-SPME) of four selected nonsteroidal anti-inflammatory drugs (NSAIDs) including diclofenac, mefenamic acid, ibuprofen and indomethacin. The extracted analytes were desorbed by an appropriate organic solvent and analyzed via high-performance liquid chromatography-ultraviolet detection (HPLC-UV). The prepared sorbent was approved using different characterization methods such as X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX). The variables effective on the Co3O4@GO-HF-SPME method including extraction time, desorption time, desorption solvent volume, sample pH, stirring rate and ionic strength were screened via Plackett-Burman design and then optimized by Box-Behnken design. Under optimal condition, the calibration curves were linear within the range of 1.0-200.0 µg L-1 of analyte concentration with detection limits of 0.18-1.1 µg L-1 and the relative standard deviations less than 10.1%. The limits of quantification (LOQs) were in the range of 0.60-3.67 µg L-1. Matrix effect was not observed with this method; therefore, standard addition is not necessary for quantification of target compounds. The enrichment factors were obtained in the range of 49-68. The relative recoveries of the urine sample analysis were calculated in the range of 93-102%. Finally, the presented method exhibited good sensitivity, excellent repeatability, high reusability and acceptable precision, which will be a promising method to analyze various nonsteroidal anti-inflammatory drugs in urine samples.

In-situ synthesis of flower like Co3O4 nanorod arrays on anodized aluminum substrate templated from layered double hydroxide as a nanosorbent for thin film microextraction of acidic drugs followed by HPLC-UV quantitation.

The present study is the first report of in-situ growth and application of nanorods-flower like Co3O4 nanosorbent coated on the anodized aluminum substrate for thin film microextraction (TFME) approach. The flower like Co3O4 was successfully fabricated by conversion of Co-Al layered double hydroxide (LDH) precursor to Co3O4 using the simple calcinations process. The cheap and available aluminum foil was electrochemically anodized and used as a porous substrate. Response surface methodology (RSM) was explored for optimization step. Different acidic drugs, including: paracetamol, ibuprofen, aspirin and diclofenac were extracted from biological fluids in order to investigate the capability of the prepared sorbent. The extracted analytes were then analyzed using high performance liquid chromatography-ultraviolet detection (HPLC-UV). Under the optimized conditions, the limits of detection were between 0.2 and 1.7 µg L-1 in different selected matrices. The obtained limits of quantification were also calculated to be between 0.8 and 5.1 µg L-1 in the selected matrices. In addition the enrichment factors were also in the range of 105-169. Batch-to-batch reproducibility at 100 µg L-1 concentration level was also evaluated to be lower than 5.2% (n = 3). Finally, the method was successfully used for analysis of these compounds in the biological fluids.

Metabolic profiling and population screening of analgesic usage in nuclear magnetic resonance spectroscopy-based large-scale epidemiologic studies.

The application of a (1)H nuclear magnetic resonance (NMR) spectroscopy-based screening method for determining the use of two widely available analgesics (acetaminophen and ibuprofen) in epidemiologic studies has been investigated. We used samples and data from the cross-sectional INTERMAP Study involving participants from Japan (n = 1145), China (n = 839), U.K. (n = 501), and the U.S. (n = 2195). An orthogonal projection to latent structures discriminant analysis (OPLS-DA) algorithm with an incorporated Monte Carlo resampling function was applied to the NMR data set to determine which spectra contained analgesic metabolites. OPLS-DA preprocessing parameters (normalization, bin width, scaling, and input parameters) were assessed systematically to identify an optimal acetaminophen prediction model. Subsets of INTERMAP spectra were examined to verify and validate the presence/absence of acetaminophen/ibuprofen based on known chemical shift and coupling patterns. The optimized and validated acetaminophen model correctly predicted 98.2%, and the ibuprofen model correctly predicted 99.0% of the urine specimens containing these drug metabolites. The acetaminophen and ibuprofen models were subsequently used to predict the presence/absence of these drug metabolites for the remaining INTERMAP specimens. The acetaminophen model identified 415 out of 8436 spectra as containing acetaminophen metabolite signals while the ibuprofen model identified 245 out of 8604 spectra as containing ibuprofen metabolite signals from the global data set after excluding samples used to construct the prediction models. The NMR-based metabolic screening strategy provides a new objective approach for evaluation of self-reported medication data and is extendable to other aspects of population xenometabolome profiling.

Pattern recognition analysis for the prediction of adverse effects by nonsteroidal anti-inflammatory drugs using 1H NMR-based metabolomics in rats.

Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used to treat rheumatoid arthritis, osteoarthritis, acute pain, and fever. However, NSAIDs have side effects that include gastric erosions, ulceration, bleeding, and perforation, etc. Selective cyclooxygenase (COX)-2 inhibitors have been developed to avoid the adverse drug reaction of traditional NSAIDs. The COX-2 inhibitors have a different mechanism of action from nonselective COX inhibitors. In this study, pattern recognition analysis of the (1)H nuclear magnetic resonance (NMR) spectra of urine was performed to develop surrogate biomarkers related to the gastrointestinal (GI) damage induced by NSAIDs in rats. Urine was collected for 5 h after administering the following NSAIDs at high doses: celecoxib (133 mg kg(-1), p.o.), a COX-2-selective inhibitor; and indomethacin (25 mg kg(-1), p.o.) or ibuprofen (800 mg kg(-1), p.o.), nonselective COX inhibitors. The urine was analyzed using 600 M (1)H NMR for spectral binning and targeted profiling. The level of gastric damage in each animal was also determined. Indomethacin and ibuprofen caused severe gastric damage, but no lesions were observed in the celecoxib-treated rats. The (1)H NMR urine spectra were divided into spectral bins (0.04 ppm) for global profiling, and 36 endogenous metabolites were assigned for targeted profiling. Multivariate data analyses were carried out to recognize the spectral pattern of endogenous metabolites related to NSAIDs using partial least-squares discrimination analysis (PLS-DA). There were different clusterings of (1)H NMR spectra according to the gastric damage scores in global profiling. In targeted profiling, a few endogenous metabolites of allantoin, taurine, and dimethylamine were selected as putative biomarkers for the gastric damage induced by NSAIDs. The results of global and targeted profilings suggest that the gastric damage induced by NSAIDs can be screened in the preclinical stage of drug development using a current metabolomics study. In addition, the putative biomarkers might also be useful for predicting the risk of adverse effects caused by NSAIDs.

Pharmacokinetic studies of enantiomers of ibuprofen and its chiral metabolites in humans with different variants of genes coding CYP2C8 and CYP2C9 isoenzymes.

The pharmacokinetics of ibuprofen enantiomers and its chiral metabolites, namely (R,S)-29-hydroxyibuprofen and (RR,RS,SR,SS)-29-carboxyibuprofen, was studied in healthy volunteers carrying different alleles coding cytochrome P450 (CYP) 4502C isoenzymes. Following administration of 400 mg of racemic ibuprofen, enantiomers of the parent compound and their metabolites were isolated from plasma and urine samples using solid-phase extraction and were quantified by the validated capillary zone electrophoresis method. The levels of the analytes in biological fluids were used to calculate their pharmacokinetic parameters in subjects with different variants of CYP2C8 and CYP2C9 isoenzymes. The analysis of each subject's genotype was carried out using polymerase chain reaction-restriction fragment length polymorphism. Impaired metabolism of ibuprofen enantiomers was associated with the presence of CYP2C8*3, CYP2C9*2 and CYP2C9*3 alleles. The greatest effect of mutated alleles on pharmacokinetics was observed in a subject with a CYP2C8*1/*3, CYP2C9*1/*2 genotype. This subject appeared to have lower value of clearance, greater area under the curve (AUC) and longer time t(0.5) in comparison with the wild-type.

Switchable-hydrophilicity solvent liquid-liquid microextraction of non-steroidal anti-inflammatory drugs from biological fluids prior to HPLC-DAD determination.

Switchable-hydrophilicity solvent liquid-liquid microextraction was used prior to high-performance liquid chromatography with diode-array detector (HPLC-DAD) for the determination of four non-steroidal anti-inflammatory drugs [i.e., ketoprofen, etodolac, flurbiprofen and ibuprofen] in human urine, saliva and milk. Optimum extraction conditions were as follows: 500 µL switched-on N,N-dimethylcyclohexylamine as the extraction solvent, 9.5 mL of the aqueous phase, 500 µL 20 M sodium hydroxide as a switching-off trigger, and within 30 s extraction time. A portion of the final extract was directly injected into HPLC. Under optimized extraction and chromatographic conditions, limits of detection ranged between 0.04 and 0.18 µg mL-1 in all matrices analyzed. Good linearity with coefficients of determination (R2) ranging between 0.9955 and 0.9998, and percentage relative standard deviations (%RSD) of 0.9-7.7% were obtained. The proposed method was efficiently used for the extraction of the analytes in the biological fluids with percentage relative recoveries (%RR) ranging between 95.7 and 109.2%.

Amine modified magnetic polystyrene for extraction of drugs from urine samples.

Polystyrene is one of the best candidates as the extracting medium due to its high stability in different media and acceptable extraction capability. However, the hydrophobic nature and low wettability of polystyrene limits its application to non-polar analytes. To resolve this limitation, in this project, amine groups were chemically attached to the surface of magnetic polystyrene. The resulting hydrophilic magnetic particles were expected to be capable of extracting both polar and non-polar analytes. Non-steroidal anti-inflammatory drugs (NSAIDs) were chosen for testing the applicability of modified magnetic polystyrene according to the importance of their analysis and also their wide polarity range. Major parameters associated with the extraction procedure were optimized using central composite design (CCD) method and pH 3, extraction time of 15 min, desorption volume of 350 µL and desorption time of 4 min were chosen as optimized values. Under these conditions, figures of merit were calculated including: linear dynamic range (0.5-1000 µg L-1), linear equation and limits of detection (0.1-3 µg L-1). To investigate the method precision, inter-day, intra-day and synthesis-to-synthesis relative standard deviation (RSD) were studied (<12%). All studies were conducted using blank urine samples spiked with aspirin, salicylic acid, ibuprofen, diclofenac and mefenamic acid. Naproxen was chosen as the internal standard and high-performance liquid chromatography-UV-Vis (HPLC-UV) was employed for the subsequent determination after extraction. To evaluate the applicability of the method for real sample analysis, urine samples from patients under treatment were analyzed and acceptable results were obtained. The aminated magnetic polystyrene revealed superior extraction efficiency, much higher than polystyrene before functionalization. In addition, hospital wastewater sample was tested and acceptable extraction efficiencies were obtained.

Dual functional monomers modified magnetic adsorbent for the enrichment of non-steroidal anti-inflammatory drugs in water and urine samples.

According to the molecular properties of non-steroidal anti-inflammatory drugs (NSADs), a new adsorbent for magnetic solid phase extraction (MSPE) was designed and synthesized. Triethyl-(4-vinylbenzyl)aminium chloride and 4-vinylbenzeneboronic acid were utilized as dual functional monomers to copolymerize with divinylbenzene on the surface of pre-modified Fe3O4 nanoparticles. The prepared magnetic adsorbent (Fe3O4@TCVA) was characterized by elemental analysis, Fourier transform infrared, scanning electron microscopy, transmission electron microscopy and vibrating sample magnetometer. Due to the abundant boronic acid, quaternary amine and phenyl groups, the Fe3O4@TCVA displayed satisfactory extraction performance for target NSADs (diclofenac acid, ibuprofen and mefenamic acid) by means of B-N coordination, anion-exchange, π-π and hydrophobic interactions. Under the optimized conditions, the Fe3O4@TCVA/MSPE was combined with high-performance liquid chromatography with diode array detection (HPLC-DAD) to sensitively analyze NSADs in water and human urine samples. Results indicated that the limits of detection for water and urine samples were in the ranges of 0.014-0.031 µg/L and 0.029-0.11 µg/L, respectively. The relative standard deviations for the intra-day and inter-day assay variability were below 10%. The applicability of the proposed Fe3O4@TCVA/MSPE-HPLC-DAD method was demonstrated by the successful extraction and quantification of trace levels of NSADs in real water and human urine samples. Satisfactory spiked recovery and reproducibility were achieved.

1H NMR and UPLC-MS(E) statistical heterospectroscopy: characterization of drug metabolites (xenometabolome) in epidemiological studies.

Statistical HeterospectroscopY (SHY) is a statistical strategy for the coanalysis of multiple spectroscopic data sets acquired in parallel on the same samples. This method operates through the analysis of the intrinsic covariance between signal intensities in the same and related molecular fingerprints measured by multiple spectroscopic techniques across cohorts of samples. Here, the method is applied to 600-MHz (1)H NMR and UPLC-TOF-MS (E) data obtained from human urine samples ( n = 86) from a subset of an epidemiological population unselected for any relevant phenotype or disease factor. We show that direct cross-correlation of spectral parameters, viz. chemical shifts from NMR and m/ z data from MS, together with fragment analysis from MS (E) scans, leads not only to the detection of numerous endogenous urinary metabolites but also the identification of drug metabolites that are part of the latent use of drugs by the population. We show previously unreported positive mode ions of ibuprofen metabolites with their NMR correlates and suggest the detection of new metabolites of disopyramide in the population samples. This approach is of great potential value in the description of population xenometabolomes and in population pharmacology studies, and indeed for drug metabolism studies in general.

Ibuprofen metabolite profiling using a combination of SPE/column-trapping and HPLC-micro-coil NMR.

Solid-phase extraction and column-trapping preconcentration are combined to enhance HPLC-nuclear magnetic resonance (HPLC-NMR) and applied to metabolite profiling in biological samples. Combining the two signal enhancement techniques improved the NMR signal substantially such that we were able to identify 2-hydroxyibuprofen, carboxyibuprofen, and unmetabolized ibuprofen molecules from a small urine sample after a therapeutic dose of ibuprofen. The hyphenated SPE/column-trapping method resulted in an excellent overall signal enhancement of up to 90-fold.

Simultaneous determination of ibuprofen and its metabolites in complex equine urine matrices by GC-EI-MS in excretion study in view of doping control.

A novel assay for the simultaneous determination of ibuprofen (IBU) and its four probable metabolites, 1-hydroxyibuprofen (1-OH IBU), 2-hydroxyibuprofen (2-OH IBU), 3-hydroxyibuprofen (3-OH IBU) and carboxyibuprofen (CBX IBU) in equine urine samples with the application of Gas Chromatography-Electron Ionization-Mass Spectrometry (GC-EI-MS) has been developed and elaborated. The new approach for sample preparation including minimizing matrix effects by the application of weak cation exchange solid-phase extraction together with strong cation exchange solid-phase extraction has been applied. The GC-EI-MS method was validated to demonstrate specificity, matrix effect, linearity, limit of detection (LOD) and quantification (LOQ), precision, trueness, carry-over and stability by using the matrix-matched quality control samples. Additionally, extraction yield was evaluated. The assay achieved the LOQ of 1.75 µg mL-1, 0.62 µg mL-1, 4.15 µg mL-1, 0.58 µg mL-1 and 4.04 µg mL-1 for IBU, 1-OH IBU, 2-OH IBU, 3-OH IBU and CBX IBU, respectively. The developed method has been successfully applied to the excretion study in horses, in which a single oral IBU dose was administered to twelve horses (mares and geldings) and equine urine samples were collected for 5 or 6 days after the drug administration. Data on the detection and determination of three IBU metabolites, 2-OH IBU, 3-OH IBU and CBX IBU in equine urine samples has been presented for the first time. The obtained results indicated the rapid excretion of IBU and its metabolites that were detectable only in the first day after the drug administration. IBU was mainly the most abundant compound detected in equine urine samples (with two exceptions in the case of samples collected from two horses, for which the highest instrumental responses were obtained for CBX IBU). The received results have indicated that two major IBU metabolites, CBX IBU and 2-OH IBU can be important markers for the IBU abuse in view of doping control in equestrian sports.