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Ferlenghi F, Giorgio C, Incerti M, Guidetti L, Chiodelli P, Rusnati M, Tognolini M, Vacondio F, Mor M, Lodola A. Metabolic Soft Spot and Pharmacokinetics: Functionalization of C-3 Position of an Eph-Ephrin Antagonist Featuring a Bile Acid Core as an Effective Strategy to Obtain Oral Bioavailability in Mice. Pharmaceuticals (Basel) 2021; 15:ph15010041. [PMID: 35056098 PMCID: PMC8779995 DOI: 10.3390/ph15010041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 11/16/2022] Open
Abstract
UniPR129, an L-β-homotryptophan conjugate of the secondary bile acid lithocholic acid (LCA), acts as an effective protein-protein interaction (PPI) inhibitor of the Eph-ephrin system but suffers from a poor oral bioavailability in mice. To improve UniPR129 bioavailability, a metabolic soft spot, i.e., the 3α-hydroxyl group on the LCA steroidal ring, was functionalized to 3-hydroxyimine. In vitro metabolism of UniPR129 and 3-hydroxyimine derivative UniPR500 was compared in mouse liver subcellular fractions, and main metabolites were profiled by high resolution (HR-MS) and tandem (MS/MS) mass spectrometry. In mouse liver microsomes (MLM), UniPR129 was converted into several metabolites: M1 derived from the oxidation of the 3-hydroxy group to 3-oxo, M2-M7, mono-hydroxylated metabolites, M8-M10, di-hydroxylated metabolites, and M11, a mono-hydroxylated metabolite of M1. Phase II reactions were only minor routes of in vitro biotransformation. UniPR500 shared several metabolic pathways with parent UniPR129, but it showed higher stability in MLM, with a half-life (t1/2) of 60.4 min, if compared to a t1/2 = 16.8 min for UniPR129. When orally administered to mice at the same dose, UniPR500 showed an increased systemic exposure, maintaining an in vitro valuable pharmacological profile as an EphA2 receptor antagonist and an overall improvement in its physico-chemical profile (solubility, lipophilicity), if compared to UniPR129. The present work highlights an effective strategy for the pharmacokinetic optimization of aminoacid conjugates of bile acids as small molecule Eph-ephrin antagonists.
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Affiliation(s)
- Francesca Ferlenghi
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
| | - Carmine Giorgio
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
| | - Matteo Incerti
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
| | - Lorenzo Guidetti
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
| | - Paola Chiodelli
- Experimental Oncology and Immunology, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy; (P.C.); (M.R.)
| | - Marco Rusnati
- Experimental Oncology and Immunology, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy; (P.C.); (M.R.)
| | - Massimiliano Tognolini
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
| | - Federica Vacondio
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
- Correspondence: (F.V.); (M.M.); Tel.: +39-0521-905076 (F.V.); +39-0521-905059 (M.M.)
| | - Marco Mor
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
- Correspondence: (F.V.); (M.M.); Tel.: +39-0521-905076 (F.V.); +39-0521-905059 (M.M.)
| | - Alessio Lodola
- Food and Drug Department, University of Parma, Viale delle Scienze 27/A, 43124 Parma, Italy; (F.F.); (C.G.); (M.I.); (L.G.); (M.T.); (A.L.)
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Connolly JRFB, Munoz-Muriedas J, Lapthorn C, Higton D, Vissers JPC, Webb A, Beaumont C, Dear GJ. Investigation into Small Molecule Isomeric Glucuronide Metabolite Differentiation Using In Silico and Experimental Collision Cross-Section Values. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1976-1986. [PMID: 34296869 DOI: 10.1021/jasms.0c00427] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Identifying isomeric metabolites remains a challenging and time-consuming process with both sensitivity and unambiguous structural assignment typically only achieved through the combined use of LC-MS and NMR. Ion mobility mass spectrometry (IMMS) has the potential to produce timely and accurate data using a single technique to identify drug metabolites, including isomers, without the requirement for in-depth interpretation (cf. MS/MS data) using an automated computational pipeline by comparison of experimental collision cross-section (CCS) values with predicted CCS values. An ion mobility enabled Q-Tof mass spectrometer was used to determine the CCS values of 28 (14 isomeric pairs of) small molecule glucuronide metabolites, which were then compared to two different in silico models; a quantum mechanics (QM) and a machine learning (ML) approach to test these approaches. The difference between CCS values within isomer pairs was also assessed to evaluate if the difference was large enough for unambiguous structural identification through in silico prediction. A good correlation was found between both the QM- and ML-based models and experimentally determined CCS values. The predicted CCS values were found to be similar between ML and QM in silico methods, with the QM model more accurately describing the difference in CCS values between isomer pairs. Of the 14 isomeric pairs, only one (naringenin glucuronides) gave a sufficient difference in CCS values for the QM model to distinguish between the isomers with some level of confidence, with the ML model unable to confidently distinguish the studied isomer pairs. An evaluation of analyte structures was also undertaken to explore any trends or anomalies within the data set.
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Affiliation(s)
- John R F B Connolly
- RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin D02 YN77, Ireland
| | | | - Cris Lapthorn
- GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, United Kingdom
| | - David Higton
- Waters Corporation, Stamford Ave, Wilmslow SK9 4AX, United Kingdom
| | | | - Alison Webb
- GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, United Kingdom
| | - Claire Beaumont
- GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, United Kingdom
| | - Gordon J Dear
- GlaxoSmithKline, Park Road, Ware, Hertfordshire SG12 0DP, United Kingdom
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3
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Ross DH, Xu L. Determination of drugs and drug metabolites by ion mobility-mass spectrometry: A review. Anal Chim Acta 2021; 1154:338270. [PMID: 33736803 DOI: 10.1016/j.aca.2021.338270] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/25/2021] [Accepted: 01/27/2021] [Indexed: 01/04/2023]
Abstract
Ion mobility-mass spectrometry (IM-MS) has gained increased applications in the characterization and identification of drugs and drug metabolites, largely owning to the complementary separation of analyte ions based on their gas-phase size and shape in the IM dimension in addition to their mass-to-charge ratios. In this review, we discuss recent advances in such applications. We first introduce various types of IM techniques, focusing on those that allow the measurement of collision cross section (CCS), the physical property of an ion that reflects its gas-phase size and shape. Next, we discuss the IM-MS landscape of the large chemical space of drugs and multimodal distributions of certain drugs in IM separation due to the presence of protomers. We then review drug metabolism reactions and discuss the application of IM-MS in separation and identification of isomeric drug metabolites. Subsequently, we discuss various approaches to generate theoretical and predicted CCS data, including theory-based calculation methods and data-driven prediction models, and currently available resources on these approaches. Finally, current limitations and future directions of application of IM-MS are discussed.
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Affiliation(s)
- Dylan H Ross
- Department of Medicinal Chemistry, University of Washington, 1959, NE Pacific Street, HSB H-172, Seattle, WA, USA
| | - Libin Xu
- Department of Medicinal Chemistry, University of Washington, 1959, NE Pacific Street, HSB H-172, Seattle, WA, USA.
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Ross DH, Seguin RP, Xu L. Characterization of the Impact of Drug Metabolism on the Gas-Phase Structures of Drugs Using Ion Mobility-Mass Spectrometry. Anal Chem 2019; 91:14498-14507. [PMID: 31613088 DOI: 10.1021/acs.analchem.9b03292] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Conventional strategies for drug metabolite identification employ a combination of liquid chromatography-mass spectrometry (LC-MS), which offers higher throughput but provides limited structural information, and nuclear magnetic resonance spectroscopy, which can achieves the most definitive identification but lacks throughput. Ion mobility-mass spectrometry (IM-MS) is a rapid, two-dimensional analysis that separates ions on the basis of their gas-phase size and shape (reflected by collision cross section, CCS) and their mass-to-charge (m/z) ratios. The rapid nature of IM separation combined with the structural information provided by CCS make IM-MS a promising technique for obtaining more structural information on drug metabolites without sacrificing analytical throughput. Here, we present an in vitro biosynthesis coupled with IM-MS strategy for rapid generation and analysis of drug metabolites. Drug metabolites were generated in vitro using pooled subcellular fractions derived from human liver and analyzed using a rapid flow injection-IM-MS method. We measured CCS values for 19 parent drugs and their 37 metabolites generated in vitro (78 values in total), representing a wide variety of metabolic modifications. Post-IM fragmentation and computational modeling were used to support metabolite identifications and explore the structural characteristics driving behaviors observed in IM separation. Overall, we found the effects of metabolic modifications on the gas-phase structures of the metabolites to be highly dependent upon the structural characteristics of the parent compounds and the specific position of the modification. This in vitro biosynthesis coupled with rapid IM-MS analysis workflow represents a promising platform for rapid and high-confidence identification of drug metabolites, applicable at a large scale.
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Affiliation(s)
- Dylan H Ross
- Department of Medicinal Chemistry , University of Washington , Seattle , Washington 98195 , United States
| | - Ryan P Seguin
- Department of Medicinal Chemistry , University of Washington , Seattle , Washington 98195 , United States
| | - Libin Xu
- Department of Medicinal Chemistry , University of Washington , Seattle , Washington 98195 , United States
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5
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Fitch WL, Khojasteh C, Aliagas I, Johnson K. Using LC Retention Times in Organic Structure Determination: Drug Metabolite Identification. Drug Metab Lett 2019; 12:93-100. [PMID: 30070179 PMCID: PMC6350196 DOI: 10.2174/1872312812666180802093347] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 06/13/2018] [Accepted: 07/31/2018] [Indexed: 11/26/2022]
Abstract
Background: There is a continued need for improvements in the efficiency of metabolite structure elucidation. Objective: We propose to take LC Retention Time (RT) into consideration during the process of structure determination. Methods: Herein, we develop a simple methodology that employs a Chromatographic Hydrophobicity Index (CHI) framework for standardizing LC conditions and introduce and utilize the concept of a pre-dictable CHI change upon Phase 1 biotransformation (CHIbt). Through the analysis of literature exam-ples, we offer a Quantitative Structure-Retention Relationship (QSRR) for several types of biotransfor-mation (especially hydroxylation) using physicochemical properties (clogP, hydrogen bonding). Results: The CHI system for retention indexing is shown to be practical and simple to implement. A da-tabase of CHIbt values has been created from re-incubation of 3 compounds and from analysis of an addi-tional 17 datasets from the literature. Application of this database is illustrated. Conclusion: In our experience, this simple methodology allows complementing the discovery efforts that saves resources for in-depth characterization using NMR.
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Affiliation(s)
- William L Fitch
- Department of Gastroenterology and Hepatology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, United States
| | - Cyrus Khojasteh
- Department of Drug Metabolism and Pharmacokinetics 1 DNA Way MS 412a, Genentech Inc., South San Francisco, CA 94080, United States
| | - Ignacio Aliagas
- Discovery Chemistry, 1 DNA Way, Genentech Inc., South San Francisco, CA 94080, United States
| | - Kevin Johnson
- Department of Drug Metabolism and Pharmacokinetics 1 DNA Way MS 412a, Genentech Inc., South San Francisco, CA 94080, United States
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6
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Hines KM, Ross DH, Davidson KL, Bush MF, Xu L. Large-Scale Structural Characterization of Drug and Drug-Like Compounds by High-Throughput Ion Mobility-Mass Spectrometry. Anal Chem 2017; 89:9023-9030. [PMID: 28764324 PMCID: PMC5616088 DOI: 10.1021/acs.analchem.7b01709] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
![]()
Ion mobility-mass spectrometry (IM-MS)
can provide orthogonal information,
i.e., m/z and collision cross section
(CCS), for the identification of drugs and drug metabolites. However,
only a small number of CCS values are available for drugs, which limits
the use of CCS as an identification parameter and the assessment of
structure–function relationships of drugs using IM-MS. Here,
we report the development of a rapid workflow for the measurement
of CCS values of a large number of drug or drug-like molecules in
nitrogen on the widely available traveling wave IM-MS (TWIM-MS) platform.
Using a combination of small molecule and polypeptide CCS calibrants,
we successfully determined the nitrogen CCS values of 1425 drug or
drug-like molecules in the MicroSource Discovery Systems’ Spectrum
Collection using flow injection analysis of 384-well plates. Software
was developed to streamline data extraction, processing, and calibration.
We found that the overall drug collection covers a wide CCS range
for the same mass, suggesting a large structural diversity of these
drugs. However, individual drug classes appear to occupy a narrow
and unique space in the CCS–mass 2D spectrum, suggesting a
tight structure–function relationship for each class of drugs
with a specific target. We observed bimodal distributions for several
antibiotic species due to multiple protomers, including the known
fluoroquinolone protomers and the new finding of cephalosporin protomers.
Lastly, we demonstrated the utility of the high-throughput method
and drug CCS database by quickly and confidently confirming the active
component in a pharmaceutical product.
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Affiliation(s)
- Kelly M Hines
- Department of Medicinal Chemistry, ‡Department of Chemistry, University of Washington , Seattle, Washington 98195, United States
| | - Dylan H Ross
- Department of Medicinal Chemistry, ‡Department of Chemistry, University of Washington , Seattle, Washington 98195, United States
| | - Kimberly L Davidson
- Department of Medicinal Chemistry, ‡Department of Chemistry, University of Washington , Seattle, Washington 98195, United States
| | - Matthew F Bush
- Department of Medicinal Chemistry, ‡Department of Chemistry, University of Washington , Seattle, Washington 98195, United States
| | - Libin Xu
- Department of Medicinal Chemistry, ‡Department of Chemistry, University of Washington , Seattle, Washington 98195, United States
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7
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Saurina J, Sentellas S. Strategies for metabolite profiling based on liquid chromatography. J Chromatogr B Analyt Technol Biomed Life Sci 2017; 1044-1045:103-111. [DOI: 10.1016/j.jchromb.2017.01.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 12/17/2016] [Accepted: 01/08/2017] [Indexed: 02/06/2023]
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Abstract
In this review, we focus on an important aspect of ion mobility (IM) research, namely the reporting of quantitative ion mobility measurements in the form of the gas-phase collision cross section (CCS), which has provided a common basis for comparison across different instrument platforms and offers a unique form of structural information, namely size and shape preferences of analytes in the absence of bulk solvent. This review surveys the over 24,000 CCS values reported from IM methods spanning the era between 1975 to 2015, which provides both a historical and analytical context for the contributions made thus far, as well as insight into the future directions that quantitative ion mobility measurements will have in the analytical sciences. The analysis was conducted in 2016, so CCS values reported in that year are purposely omitted. In another few years, a review of this scope will be intractable, as the number of CCS values which will be reported in the next three to five years is expected to exceed the total amount currently published in the literature.
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Affiliation(s)
- Jody C May
- Department of Chemistry, Center for Innovative Technology, Vanderbilt Institute for Chemical Biology, Vanderbilt Institute for Integrative Biosystems Research and Education, Vanderbilt University , Nashville, Tennessee 37235, United States
| | - Caleb B Morris
- Department of Chemistry, Center for Innovative Technology, Vanderbilt Institute for Chemical Biology, Vanderbilt Institute for Integrative Biosystems Research and Education, Vanderbilt University , Nashville, Tennessee 37235, United States
| | - John A McLean
- Department of Chemistry, Center for Innovative Technology, Vanderbilt Institute for Chemical Biology, Vanderbilt Institute for Integrative Biosystems Research and Education, Vanderbilt University , Nashville, Tennessee 37235, United States
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9
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Lapthorn C, Pullen FS, Chowdhry BZ, Wright P, Perkins GL, Heredia Y. How useful is molecular modelling in combination with ion mobility mass spectrometry for 'small molecule' ion mobility collision cross-sections? Analyst 2016; 140:6814-23. [PMID: 26131453 DOI: 10.1039/c5an00411j] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Ion mobility mass spectrometry is used to measure the drift-time of an ion. The drift-time of an ion can be used to calculate the collision cross-section (CCS) in travelling wave ion mobility (e.g. Waters Synapt and Vion instruments) or directly determine the experimental CCS (e.g. Agilent 6560 instrument and many drift-tube instruments). A comparison of the experimental CCS and theoretical CCS values obtained from trajectory method He(g) parameterised MOBCAL and N2(g) parameterised MOBCAL software, for a range of 20 'small molecules' is presented. This study utilises density functional theory B3LYP methods and the 6-31G+(d,p) basis set to calculate theoretical CCS values. This study seeks to assess the accuracy of a common procedure using CCS calibration with poly-(d/l)-alanine derived from drift-cell measurements and the original release of MOBCAL software and compare it with recent improvements with a drug-like molecule calibration set and a revision of MOBCAL parameterised for N2(g) drift gas. This study represents one of the first quantitative evaluations of the agreement between theoretical CCS and experimental CCS values for a range of small pharmaceutically relevant molecules using travelling wave ion mobility mass spectrometry. Accurate theoretical CCS may allow optimisation of ion mobility separations in silico, provide CCS databases that can confirm structures without the need for alternative analytical tools such as nuclear magnetic resonance spectroscopy (NMR) and assignment of unknowns and positional isomers without requiring reference materials.
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Affiliation(s)
- Cris Lapthorn
- Faculty of Engineering & Science, University of Greenwich, Medway Campus, Chatham, Kent ME4 4TB, UK.
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Reading E, Munoz-Muriedas J, Roberts AD, Dear GJ, Robinson CV, Beaumont C. Elucidation of Drug Metabolite Structural Isomers Using Molecular Modeling Coupled with Ion Mobility Mass Spectrometry. Anal Chem 2016; 88:2273-80. [DOI: 10.1021/acs.analchem.5b04068] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Eamonn Reading
- Department
of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford OX1 3QZ, U.K
| | - Jordi Munoz-Muriedas
- Chemical
Sciences, Computational Chemistry, GlaxoSmithKline, Stevenage, Hertfordshire SG1 2NY, U.K
| | - Andrew D. Roberts
- Drug
Metabolism and Pharmacokinetics, GlaxoSmithKline, Ware, Hertfordshire SG12 0DP, U.K
| | - Gordon J. Dear
- Drug
Metabolism and Pharmacokinetics, GlaxoSmithKline, Ware, Hertfordshire SG12 0DP, U.K
| | - Carol V. Robinson
- Department
of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford OX1 3QZ, U.K
| | - Claire Beaumont
- Drug
Metabolism and Pharmacokinetics, GlaxoSmithKline, Ware, Hertfordshire SG12 0DP, U.K
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11
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Thevis M, Dib J, Thomas A, Höppner S, Lagojda A, Kuehne D, Sander M, Opfermann G, Schänzer W. Complementing the characterization ofin vivogeneratedN-glucuronic acid conjugates of stanozolol by collision cross section computation and analysis. Drug Test Anal 2015; 7:1050-6. [DOI: 10.1002/dta.1907] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 09/25/2015] [Accepted: 09/25/2015] [Indexed: 02/06/2023]
Affiliation(s)
- Mario Thevis
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
- European Monitoring Center for Emerging Doping Agents (EuMoCEDA); Cologne/Bonn Germany
| | - Josef Dib
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Andreas Thomas
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Sebastian Höppner
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Andreas Lagojda
- Bayer CropScience AG; Alfred-Nobel-Str. 50 40789 Monheim Germany
| | - Dirk Kuehne
- Bayer CropScience AG; Alfred-Nobel-Str. 50 40789 Monheim Germany
| | - Mark Sander
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Georg Opfermann
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Wilhelm Schänzer
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
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Abstract
Drug metabolism can produce metabolites with physicochemical and pharmacological properties that differ substantially from those of the parent drug, and consequently has important implications for both drug safety and efficacy. To reduce the risk of costly clinical-stage attrition due to the metabolic characteristics of drug candidates, there is a need for efficient and reliable ways to predict drug metabolism in vitro, in silico and in vivo. In this Perspective, we provide an overview of the state of the art of experimental and computational approaches for investigating drug metabolism. We highlight the scope and limitations of these methods, and indicate strategies to harvest the synergies that result from combining measurement and prediction of drug metabolism.
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13
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Wen B, Zhu M. Applications of mass spectrometry in drug metabolism: 50 years of progress. Drug Metab Rev 2015; 47:71-87. [DOI: 10.3109/03602532.2014.1001029] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Lu W, Li H, Meng Z, Liang X, Xue M, Wang Q, Dong X. Detection of nitrobenzene compounds in surface water by ion mobility spectrometry coupled with molecularly imprinted polymers. JOURNAL OF HAZARDOUS MATERIALS 2014; 280:588-594. [PMID: 25222927 DOI: 10.1016/j.jhazmat.2014.08.041] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Revised: 08/13/2014] [Accepted: 08/24/2014] [Indexed: 06/03/2023]
Abstract
Ion mobility spectrometry (IMS) was explored in the selective detection of nitrobenzene compounds in industrial waste water and surface water, and the selectivity was theoretically elucidated with the transformation energy in the product ion formation reaction. A linear detection range of 0.5-50 ppm and a limit of detection (LOD) of 0.1 ppm were found for 2,4,6-trinitrotoluene (TNT). With the IMS as the detection system of molecularly imprinted polymer (MIP) separation technique, the MIP-IMS system was proved to be excellent method to detect trace amount of nitrobenzene compounds in surface water, in which more than 87% of nitrobenzene compounds could be adsorbed on MIPs with 90-105% of recovery.
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Affiliation(s)
- Wei Lu
- School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China
| | - Haiyang Li
- Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Zihui Meng
- School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China.
| | - Xixi Liang
- Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Min Xue
- School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China
| | - Qiuhong Wang
- School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China
| | - Xiao Dong
- School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China
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15
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He M, Guo D, Chen Y, Xiong X, Fang X, Xu W. Ion collision crosssection measurements in quadrupole ion traps using a time–frequency analysis method. Analyst 2014; 139:6144-53. [DOI: 10.1039/c4an01216j] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
In this study, a method for measuring ion collision crosssections (CCSs) was proposed through time–frequency analysis of ion trajectories in quadrupole ion traps.
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Affiliation(s)
- Muyi He
- School of Life Sciences
- Beijing Institute of Technology
- Beijing 100081, China
| | - Dan Guo
- School of Life Sciences
- Beijing Institute of Technology
- Beijing 100081, China
| | - Yu Chen
- Shanxi Cancer Hospital
- Xian, Shanxi 710061, China
| | | | - Xiang Fang
- National Institute of Metrology
- Beijing 100013, China
| | - Wei Xu
- School of Life Sciences
- Beijing Institute of Technology
- Beijing 100081, China
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