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Li S, Xiao Q, Sun J, Li Z, Zhang M, Tian Y, Zhang Z, Dong H, Jiao Y, Xu F, Zhang P. A new chemical derivatization reagent sulfonyl piperazinyl for the quantification of fatty acids using LC-MS/MS. Talanta 2024; 277:126378. [PMID: 38870757 DOI: 10.1016/j.talanta.2024.126378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/04/2024] [Accepted: 06/05/2024] [Indexed: 06/15/2024]
Abstract
In our previous study, a chemical derivatization reagent named 5-(dimethylamino) naphthalene-1-sulfonyl piperazine (Dns-PP) was developed to enhance the chromatographic retention and the mass spectrometric response of free fatty acids (FFAs) in reversed-phase liquid chromatography coupled with electrospray ionization-mass spectrometry (RPLC-ESI-MS). However, Dns-PP exhibited strong preferences for long-chain FFAs, with limited improvement for short- or medium-chain FFAs. In this study, a new series of labeling reagents targeting FFAs were designed, synthesized, and evaluated. Among these reagents, Tmt-PP (N2, N2, N4, N4-tetramethyl-6-(4-(piperazin-1-ylsulfonyl) phenyl)-1,3,5-triazine-2,4-diamine) exhibited the best MS response and was selected for further evaluations. We compared Tmt-PP with Dns-PP and four commonly used carboxyl labeling reagents from existing studies, demonstrating the advantages of Tmt-PP. Further comparisons between Tmt-PP and Dns-PP in measuring FFAs from biological samples revealed that Tmt-PP labeling enhanced the MS response for about 80 % (30/38) of the measured FFAs, particularly for short- and medium-chain FFAs. Moreover, Tmt-PP labeling significantly improved the chromatographic retention of short-chain FFAs. To ensure accurate quantification, we developed a stable isotope-labeled Tmt-PP (i.e., d12-Tmt-PP) to react with chemical standards and serve as one-to-one internal standards (IS). The method was validated for accuracy, precision, sensitivity, linearity, stability, extraction efficiency, as well as matrix effect. Overall, this study introduced a new chemical derivatization reagent Tmt-PP (d12-Tmt-PP), providing a sensitive and accurate option for quantifying FFAs in biological samples.
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Affiliation(s)
- Siqi Li
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Qinwen Xiao
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Jiarui Sun
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Zhaoqian Li
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Mengting Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Yuan Tian
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Zunjian Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Haijuan Dong
- The Public Laboratory Platform, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Yu Jiao
- Department of Organic Chemistry, China Pharmaceutical University, Nanjing, 210009, PR China.
| | - Fengguo Xu
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China; School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China.
| | - Pei Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing, 210009, PR China.
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2
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Xu X. Capillary Electrophoresis-Mass Spectrometry for Cancer Metabolomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1280:189-200. [PMID: 33791983 DOI: 10.1007/978-3-030-51652-9_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
This chapter presents the fundamentals, instrumentation, methodology, and applications of capillary electrophoresis-mass spectrometry (CE-MS) for cancer metabolomics. CE offers fast and high-resolution separation of charged analytes from a very small amount of sample. When coupled to MS, it represents a powerful analytical technique enabling identification and quantification of metabolites in biological samples. Several issues need to be addressed when combining CE with MS, especially the interface between CE and MS and the selection of a proper separation methodology, sample pretreatment, and capillary coatings. We will discuss these aspects of CE-MS and detail representative applications for cancer metabolomic analysis.
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Affiliation(s)
- Xiangdong Xu
- School of Public Health and Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, China.
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3
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Drouin N, van Mever M, Zhang W, Tobolkina E, Ferre S, Servais AC, Gou MJ, Nyssen L, Fillet M, Lageveen-Kammeijer GS, Nouta J, Chetwynd AJ, Lynch I, Thorn JA, Meixner J, Lößner C, Taverna M, Liu S, Tran NT, Francois Y, Lechner A, Nehmé R, Al Hamoui Dit Banni G, Nasreddine R, Colas C, Lindner HH, Faserl K, Neusüß C, Nelke M, Lämmerer S, Perrin C, Bich-Muracciole C, Barbas C, Gonzálvez Á, Guttman A, Szigeti M, Britz-McKibbin P, Kroezen Z, Shanmuganathan M, Nemes P, Portero EP, Hankemeier T, Codesido S, González-Ruiz V, Rudaz S, Ramautar R. Capillary Electrophoresis-Mass Spectrometry at Trial by Metabo-Ring: Effective Electrophoretic Mobility for Reproducible and Robust Compound Annotation. Anal Chem 2020; 92:14103-14112. [PMID: 32961048 PMCID: PMC7581015 DOI: 10.1021/acs.analchem.0c03129] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 09/22/2020] [Indexed: 12/15/2022]
Abstract
Capillary zone electrophoresis-mass spectrometry (CE-MS) is a mature analytical tool for the efficient profiling of (highly) polar and ionizable compounds. However, the use of CE-MS in comparison to other separation techniques remains underrepresented in metabolomics, as this analytical approach is still perceived as technically challenging and less reproducible, notably for migration time. The latter is key for a reliable comparison of metabolic profiles and for unknown biomarker identification that is complementary to high resolution MS/MS. In this work, we present the results of a Metabo-ring trial involving 16 CE-MS platforms among 13 different laboratories spanning two continents. The goal was to assess the reproducibility and identification capability of CE-MS by employing effective electrophoretic mobility (μeff) as the key parameter in comparison to the relative migration time (RMT) approach. For this purpose, a representative cationic metabolite mixture in water, pretreated human plasma, and urine samples spiked with the same metabolite mixture were used and distributed for analysis by all laboratories. The μeff was determined for all metabolites spiked into each sample. The background electrolyte (BGE) was prepared and employed by each participating lab following the same protocol. All other parameters (capillary, interface, injection volume, voltage ramp, temperature, capillary conditioning, and rinsing procedure, etc.) were left to the discretion of the contributing laboratories. The results revealed that the reproducibility of the μeff for 20 out of the 21 model compounds was below 3.1% vs 10.9% for RMT, regardless of the huge heterogeneity in experimental conditions and platforms across the 13 laboratories. Overall, this Metabo-ring trial demonstrated that CE-MS is a viable and reproducible approach for metabolomics.
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Affiliation(s)
- Nicolas Drouin
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Marlien van Mever
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Wei Zhang
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Elena Tobolkina
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Sabrina Ferre
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Anne-Catherine Servais
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Marie-Jia Gou
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Laurent Nyssen
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
- Department
of Clinical Chemistry, Center for Interdisciplinary Research on Medicines
(CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Marianne Fillet
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | | | - Jan Nouta
- Leiden University
Medical Center, Center for Proteomics
and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Andrew J. Chetwynd
- School
of Geography Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
| | - Iseult Lynch
- School
of Geography Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
| | - James A. Thorn
- AB
Sciex UK Ltd, Phoenix House, Lakeside Drive, Warrington, Cheshire WA1 1RX, U.K.
| | - Jens Meixner
- Agilent
Technologies R&D and Marketing GmbH & Co. KG, Hewlett-Packard-Straße 8, 76337 Waldbronn, Germany
| | | | - Myriam Taverna
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
- Institut Universitaire de France, 1 Rue Descartes, 75231 CEDEX 05 Paris, France
| | - Sylvie Liu
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
| | - N. Thuy Tran
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
| | - Yannis Francois
- Laboratoire
de Spectromètrie de Masse des Interactions et des Systémes
(LSMIS) UMR 7140 (Unistra-CNRS), Université
de Strasbourg, 4 Rue Blaise Pascal, 67081 CEDEX Strasbourg, France
| | - Antony Lechner
- Laboratoire
de Spectromètrie de Masse des Interactions et des Systémes
(LSMIS) UMR 7140 (Unistra-CNRS), Université
de Strasbourg, 4 Rue Blaise Pascal, 67081 CEDEX Strasbourg, France
| | - Reine Nehmé
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Ghassan Al Hamoui Dit Banni
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Rouba Nasreddine
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Cyril Colas
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
- Centre de Biophysique Moléculaire,
CNRS-Université
d’Orléans, UPR 4311, 45071 CEDEX 2 Orléans, France
| | - Herbert H. Lindner
- Institute
of Clinical Biochemistry, Innsbruck Medical
University, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Klaus Faserl
- Institute
of Clinical Biochemistry, Innsbruck Medical
University, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Christian Neusüß
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Manuel Nelke
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Stefan Lämmerer
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Catherine Perrin
- Institut
des Biomolécules Max Mousseron (IBMM), UMR 5247-CNRS-UM-ENSCM, Université de Montpellier, 34093 CEDEX 5 Montpellier, France
| | - Claudia Bich-Muracciole
- Institut
des Biomolécules Max Mousseron (IBMM), UMR 5247-CNRS-UM-ENSCM, Université de Montpellier, 34093 CEDEX 5 Montpellier, France
| | - Coral Barbas
- Centre
for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry
and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización
Montepríncipe, Boadilladel
Monte 28660, Madrid, Spain
| | - Ángeles
López Gonzálvez
- Centre
for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry
and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización
Montepríncipe, Boadilladel
Monte 28660, Madrid, Spain
| | - Andras Guttman
- Horváth
Csaba Memorial Laboratory of Bioseparation Sciences, Research Center
for Molecular Medicine, Faculty of Medicine, Doctoral School of Molecular
Medicine, University of Debrecen, 98 Nagyerdei Road, H-4032 Debrecen, Hungary
- Translation
Glycomics Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem H-8200, Hungary
- Sciex, 250 South Kraemer Boulevard, Brea, California 92821, United States
| | - Marton Szigeti
- Horváth
Csaba Memorial Laboratory of Bioseparation Sciences, Research Center
for Molecular Medicine, Faculty of Medicine, Doctoral School of Molecular
Medicine, University of Debrecen, 98 Nagyerdei Road, H-4032 Debrecen, Hungary
- Translation
Glycomics Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem H-8200, Hungary
| | - Philip Britz-McKibbin
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Zachary Kroezen
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Meera Shanmuganathan
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Peter Nemes
- Department
of Chemistry & Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Erika P. Portero
- Department
of Chemistry & Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Thomas Hankemeier
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Santiago Codesido
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Víctor González-Ruiz
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology
(SCAHT), Missionsstrasse
64, 4055 Bâle, Switzerland
| | - Serge Rudaz
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology
(SCAHT), Missionsstrasse
64, 4055 Bâle, Switzerland
| | - Rawi Ramautar
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
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4
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Bernardo-Bermejo S, Sánchez-López E, Castro-Puyana M, Benito-Martínez S, Lucio-Cazaña FJ, Marina ML. A Non-Targeted Capillary Electrophoresis-Mass Spectrometry Strategy to Study Metabolic Differences in an In vitro Model of High-Glucose Induced Changes in Human Proximal Tubular HK-2 Cells. Molecules 2020; 25:molecules25030512. [PMID: 31991659 PMCID: PMC7037647 DOI: 10.3390/molecules25030512] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 01/16/2020] [Accepted: 01/20/2020] [Indexed: 12/13/2022] Open
Abstract
Diabetic nephropathy is characterized by the chronic loss of kidney function due to high glucose renal levels. HK-2 proximal tubular cells are good candidates to study this disease. The aim of this work was to study an in vitro model of high glucose-induced metabolic alterations in HK-2 cells to contribute to the pathogenesis of this diabetic complication. An untargeted metabolomics strategy based on CE-MS was developed to find metabolites affected under high glucose conditions. Intracellular and extracellular fluids from HK-2 cells treated with 25 mM glucose (high glucose group), with 5.5 mM glucose (normal glucose group), and with 5.5 mM glucose and 19.5 mM mannitol (osmotic control group) were analyzed. The main changes induced by high glucose were found in the extracellular medium where increased levels of four amino acids were detected. Three of them (alanine, proline, and glutamic acid) were exported from HK-2 cells to the extracellular medium. Other affected metabolites include Amadori products and cysteine, which are more likely cause and consequence, respectively, of the oxidative stress induced by high glucose in HK-2 cells. The developed CE-MS platform provides valuable insight into high glucose-induced metabolic alterations in proximal tubular cells and allows identifying discriminative molecules of diabetic nephropathy.
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Affiliation(s)
- Samuel Bernardo-Bermejo
- Departamento de Química Analítica, Química Física e Ingeniería Química, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-B.); (E.S.-L.); (M.C.-P.)
| | - Elena Sánchez-López
- Departamento de Química Analítica, Química Física e Ingeniería Química, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-B.); (E.S.-L.); (M.C.-P.)
- Instituto de Investigación Química Andrés M. del Río (IQAR), Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain
| | - María Castro-Puyana
- Departamento de Química Analítica, Química Física e Ingeniería Química, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-B.); (E.S.-L.); (M.C.-P.)
- Instituto de Investigación Química Andrés M. del Río (IQAR), Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain
| | - Selma Benito-Martínez
- Departamento de Biología de Sistemas, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-M.); (F.J.L.-C.)
- “Ramón y Cajal” Health Research Institute (IRYCIS), Universidad de Alcalá, 28871 Madrid, Spain
| | - Francisco Javier Lucio-Cazaña
- Departamento de Biología de Sistemas, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-M.); (F.J.L.-C.)
| | - María Luisa Marina
- Departamento de Química Analítica, Química Física e Ingeniería Química, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain; (S.B.-B.); (E.S.-L.); (M.C.-P.)
- Instituto de Investigación Química Andrés M. del Río (IQAR), Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.600, Alcalá de Henares, 28871 Madrid, Spain
- Correspondence: ; Tel.: +34-91-885-4935; Fax: +34-91-885-4971
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5
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Ramautar R, Somsen GW, de Jong GJ. CE-MS for metabolomics: Developments and applications in the period 2016-2018. Electrophoresis 2018; 40:165-179. [PMID: 30232802 PMCID: PMC6586046 DOI: 10.1002/elps.201800323] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 09/09/2018] [Accepted: 09/10/2018] [Indexed: 12/16/2022]
Abstract
In the field of metabolomics, CE-MS is now recognized as a strong analytical technique for the analysis of (highly) polar and charged metabolites in a wide range of biological samples. Over the past few years, significant attention has been paid to the design and improvement of CE-MS approaches for (large-scale) metabolic profiling studies and for establishing protocols in order to further expand the role of CE-MS in metabolomics. In this paper, which is a follow-up of a previous review paper covering the years 2014-2016 (Electrophoresis 2017, 38, 190-202), main advances in CE-MS approaches for metabolomics studies are outlined covering the literature from July 2016 to June 2018. Aspects like developments in interfacing designs and data analysis tools for improving the performance of CE-MS for metabolomics are discussed. Representative examples highlight the utility of CE-MS in the fields of biomedical, clinical, microbial, and plant metabolomics. A complete overview of recent CE-MS-based metabolomics studies is given in a table, which provides information on sample type and pretreatment, capillary coatings and MS detection mode. Finally, some general conclusions and perspectives are given.
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Affiliation(s)
- Rawi Ramautar
- Biomedical Microscale Analytics, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
| | - Govert W Somsen
- Division of BioAnalytical Chemistry, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gerhardus J de Jong
- Biomolecular Analysis, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
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6
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Zhang W, Gulersonmez MC, Hankemeier T, Ramautar R. Sheathless Capillary Electrophoresis-Mass Spectrometry for Metabolic Profiling of Biological Samples. J Vis Exp 2016. [PMID: 27768073 PMCID: PMC5092098 DOI: 10.3791/54535] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
In metabolomics, a wide range of analytical techniques is used for the global profiling of (endogenous) metabolites in complex samples. In this paper, a protocol is presented for the analysis of anionic and cationic metabolites in biological samples by capillary electrophoresis–mass spectrometry (CE-MS). CE is well-suited for the analysis of highly polar and charged metabolites as compounds are separated on the basis of their charge-to-size ratio. A recently developed sheathless interfacing design, i.e., a porous tip interface, is used for coupling CE to electrospray ionization (ESI) MS. This interfacing approach allows the effective use of the intrinsically low-flow property of CE in combination with MS, resulting in nanomolar detection limits for a broad range of polar metabolite classes. The protocol presented here is based on employing a bare fused-silica capillary with a porous tip emitter at low-pH separation conditions for the analysis of a broad array of metabolite classes in biological samples. It is demonstrated that the same sheathless CE-MS method can be used for the profiling of cationic metabolites, including amino acids, nucleosides and small peptides, or anionic metabolites, including sugar phosphates, nucleotides and organic acids, by only switching the MS detection and separation voltage polarity. Highly information-rich metabolic profiles in various biological samples, such as urine, cerebrospinal fluid and extracts of the glioblastoma cell line, can be obtained by this protocol in less than 1 hr of CE-MS analysis.
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Affiliation(s)
- Wei Zhang
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University
| | - M Can Gulersonmez
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University
| | - Thomas Hankemeier
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University
| | - Rawi Ramautar
- Division of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University;
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7
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Abstract
Metabolomics-based strategies have become an integral part of modern clinical research, allowing for a better understanding of pathophysiological conditions and disease mechanisms, as well as providing innovative tools for more adequate diagnostic and prognosis approaches. Metabolomics is considered an essential tool in precision medicine, which aims for personalized prevention and tailor-made treatments. Nevertheless, multiple pitfalls may be encountered in clinical metabolomics during the entire workflow, hampering the quality of the data and, thus, the biological interpretation. This review describes the challenges underlying metabolomics-based experiments, discussing step by step the potential pitfalls of the analytical process, including study design, sample collection, storage, as well as preparation, chromatographic and electrophoretic separation, detection and data analysis. Moreover, it offers practical solutions and strategies to tackle these challenges, ensuring the generation of high-quality data.
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8
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Gulersonmez MC, Lock S, Hankemeier T, Ramautar R. Sheathless capillary electrophoresis-mass spectrometry for anionic metabolic profiling. Electrophoresis 2016; 37:1007-14. [PMID: 26593113 PMCID: PMC5064653 DOI: 10.1002/elps.201500435] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Revised: 11/09/2015] [Accepted: 11/10/2015] [Indexed: 12/23/2022]
Abstract
The performance of CE coupled on-line to MS via a sheathless porous tip sprayer was evaluated for anionic metabolic profiling. A representative metabolite mixture and biological samples were used for the evaluation of various analytical parameters, such as peak efficiency (plate numbers), migration time and peak area repeatability, and LODs. The BGE, i.e. 10% acetic acid (pH 2.2), previously used for cationic metabolic profiling was now assessed for anionic metabolic profiling by using MS detection in negative ion mode. For test compounds, RSDs for migration times and peak areas were below 2 and 11%, respectively, and plate numbers ranged from 60 000 to 40 0000 demonstrating a high separation efficiency. Critical metabolites with low or no retention on reversed-phase LC could be efficiently separated and selectively analyzed by the sheathless CE-MS method. An injection volume of only circa 20 nL resulted in LODs between 10 and 200 nM (corresponding to an amount of 0.4-4 fmol), which was an at least tenfold improvement as compared to LODs obtained by conventional CE-MS approaches for these analytes. The methodology was applied to anionic metabolic profiling of glioblastoma cell line extracts. Overall, a sheathless CE-MS method has been developed for highly efficient and sensitive anionic metabolic profiling studies, which can also be used for cationic metabolic profiling studies by only switching the MS detection and separation voltage polarity.
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Affiliation(s)
- Mehmet Can Gulersonmez
- Leiden Academic Center for Drug Research, Division of Analytical Biosciences, Leiden University, Leiden, The Netherlands
| | - Stephen Lock
- Sciex, Phoenix House, Center Park, Warrington, UK
| | - Thomas Hankemeier
- Leiden Academic Center for Drug Research, Division of Analytical Biosciences, Leiden University, Leiden, The Netherlands
| | - Rawi Ramautar
- Leiden Academic Center for Drug Research, Division of Analytical Biosciences, Leiden University, Leiden, The Netherlands
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9
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Recent developments in liquid-phase separation techniques for metabolomics. Bioanalysis 2014; 6:1011-26. [DOI: 10.4155/bio.14.51] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Metabolomics is the comprehensive analysis of low molecular weight compounds in biological samples such as cells, body fluids and tissues. Comprehensive profiling of metabolites in complex sample matrices with the current analytical toolbox remains a huge challenge. Over the past few years, liquid chromatography–mass spectrometry (LC–MS) and capillary electrophoresis–mass spectrometry (CE–MS) have emerged as powerful complementary analytical techniques in the field of metabolomics. This Review provides an update of the most recent developments in LC–MS and CE–MS for metabolomics. Concerning LC–MS, attention is paid to developments in column technology and miniaturized systems, while strategies are discussed to improve the reproducibility and the concentration sensitivity of CE–MS for metabolomics studies. Novel interfacing techniques for coupling CE to MS are also considered. Representative examples illustrate the potential of the recent developments in LC–MS and CE–MS for metabolomics. Finally, some conclusions and perspectives are provided.
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10
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Armitage EG, Rupérez FJ, Barbas C. Metabolomics of diet-related diseases using mass spectrometry. Trends Analyt Chem 2013. [DOI: 10.1016/j.trac.2013.08.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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11
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Modir-Rousta A, Bottaro CS. New pressure-assisted sweeping on-line preconcentration for polar environmentally relevant nitrosamines: Part 1. Sweeping for polar compounds and application of auxiliary pressure. Electrophoresis 2013; 34:2553-60. [DOI: 10.1002/elps.201300123] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Revised: 05/06/2013] [Accepted: 05/10/2013] [Indexed: 01/24/2023]
Affiliation(s)
- Ali Modir-Rousta
- Department of Chemistry; Memorial University of Newfoundland; Canada
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12
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Li B, Petersen NJ, Andersen LH, Hansen SH. Easy peak tracking in CE-UV and CE-UV-ESI-MS by incorporating temperature-correlated mobility scaling. Electrophoresis 2013; 34:1787-95. [DOI: 10.1002/elps.201200695] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Revised: 03/04/2013] [Accepted: 03/25/2013] [Indexed: 11/12/2022]
Affiliation(s)
- Bin Li
- Department of Pharmacy, Faculty of Health and Medical Sciences; University of Copenhagen; Copenhagen; Denmark
| | - Nickolaj J. Petersen
- Department of Pharmacy, Faculty of Health and Medical Sciences; University of Copenhagen; Copenhagen; Denmark
| | - Line H. Andersen
- Department of Pharmacy, Faculty of Health and Medical Sciences; University of Copenhagen; Copenhagen; Denmark
| | - Steen H. Hansen
- Department of Pharmacy, Faculty of Health and Medical Sciences; University of Copenhagen; Copenhagen; Denmark
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13
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Kuehnbaum NL, Britz-McKibbin P. New Advances in Separation Science for Metabolomics: Resolving Chemical Diversity in a Post-Genomic Era. Chem Rev 2013; 113:2437-68. [DOI: 10.1021/cr300484s] [Citation(s) in RCA: 201] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Naomi L. Kuehnbaum
- Department of Chemistry
and Chemical Biology, McMaster University, Hamilton, Canada
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14
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Ramautar R, Somsen GW, de Jong GJ. CE-MS for metabolomics: developments and applications in the period 2010-2012. Electrophoresis 2012; 34:86-98. [PMID: 23161106 DOI: 10.1002/elps.201200390] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2012] [Revised: 08/30/2012] [Accepted: 08/30/2012] [Indexed: 12/21/2022]
Abstract
CE-MS has emerged as a powerful technique for the profiling of (highly) polar and charged metabolites in biological samples. This review provides an update of the most recent developments in CE-MS for metabolomics covering the scientific literature from July 2010 to June 2012. The present paper is an update of two previous review papers covering the years 2000-2010 (Electrophoresis 2009, 30, 276-291; Electrophoresis 2011, 32, 52-65). Emerging technological developments used in CE-MS for metabolomics are discussed, such as the use of novel interfacing techniques for coupling CE to MS. Representative examples illustrate the applicability of CE-MS in the fields of biomedical, clinical, microbial, plant, environmental and food metabolomics. Concerning targeted and non-targeted approaches, a comprehensive overview of recent CE-MS-based metabolomics studies is given in a table. Information on sample type and pretreatment, capillary coatings and MS detection mode is provided. Finally, general conclusions and perspectives are provided.
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Affiliation(s)
- Rawi Ramautar
- Biomolecular Analysis, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, TB Utrecht, The Netherlands.
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15
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Sugimoto M, Kawakami M, Robert M, Soga T, Tomita M. Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis. Curr Bioinform 2012; 7:96-108. [PMID: 22438836 PMCID: PMC3299976 DOI: 10.2174/157489312799304431] [Citation(s) in RCA: 189] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2011] [Revised: 10/25/2011] [Accepted: 12/07/2011] [Indexed: 01/04/2023]
Abstract
Biological systems are increasingly being studied in a holistic manner, using omics approaches, to provide quantitative and qualitative descriptions of the diverse collection of cellular components. Among the omics approaches, metabolomics, which deals with the quantitative global profiling of small molecules or metabolites, is being used extensively to explore the dynamic response of living systems, such as organelles, cells, tissues, organs and whole organisms, under diverse physiological and pathological conditions. This technology is now used routinely in a number of applications, including basic and clinical research, agriculture, microbiology, food science, nutrition, pharmaceutical research, environmental science and the development of biofuels. Of the multiple analytical platforms available to perform such analyses, nuclear magnetic resonance and mass spectrometry have come to dominate, owing to the high resolution and large datasets that can be generated with these techniques. The large multidimensional datasets that result from such studies must be processed and analyzed to render this data meaningful. Thus, bioinformatics tools are essential for the efficient processing of huge datasets, the characterization of the detected signals, and to align multiple datasets and their features. This paper provides a state-of-the-art overview of the data processing tools available, and reviews a collection of recent reports on the topic. Data conversion, pre-processing, alignment, normalization and statistical analysis are introduced, with their advantages and disadvantages, and comparisons are made to guide the reader.
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Affiliation(s)
- Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan
- Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Kanagawa 252-8520, Japan
- Graduate School of Medicine and Faculty of Medicine Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Masato Kawakami
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan
- Department of Environment and Information Studies, Keio University, Fujisawa, Kanagawa 252-8520, Japan
| | - Martin Robert
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan
- Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Kanagawa 252-8520, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan
- Department of Environment and Information Studies, Keio University, Fujisawa, Kanagawa 252-8520, Japan
| | - Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan
- Department of Environment and Information Studies, Keio University, Fujisawa, Kanagawa 252-8520, Japan
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16
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Zhang A, Sun H, Wang P, Han Y, Wang X. Modern analytical techniques in metabolomics analysis. Analyst 2012; 137:293-300. [DOI: 10.1039/c1an15605e] [Citation(s) in RCA: 538] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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17
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Ramautar R, Busnel JM, Deelder AM, Mayboroda OA. Enhancing the Coverage of the Urinary Metabolome by Sheathless Capillary Electrophoresis-Mass Spectrometry. Anal Chem 2011; 84:885-92. [DOI: 10.1021/ac202407v] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Rawi Ramautar
- Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jean-Marc Busnel
- Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
- Beckman Coulter, Inc., Brea, California 92822, United States
| | - André M. Deelder
- Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Oleg A. Mayboroda
- Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
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Abstract
One of the central challenges to metabolomics is metabolite identification. Regardless of whether one uses so-called 'targeted' or 'untargeted' metabolomics, eventually all paths lead to the requirement of identifying (and quantifying) certain key metabolites. Indeed, without metabolite identification, the results of any metabolomic analysis are biologically and chemically uninterpretable. Given the chemical diversity of most metabolomes and the character of most metabolomic data, metabolite identification is intrinsically difficult. Consequently a great deal of effort in metabolomics over the past decade has been focused on making metabolite identification better, faster and cheaper. This review describes some of the newly emerging techniques or technologies in metabolomics that are making metabolite identification easier and more robust. In particular, it focuses on advances in metabolite identification that have occurred over the past 2 to 3 years concerning the technologies, methodologies and software as applied to NMR, MS and separation science. The strengths and limitations of some of these approaches are discussed along with some of the important trends in metabolite identification.
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19
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Kuehnbaum NL, Britz-McKibbin P. Comprehensive Profiling of Free and Conjugated Estrogens by Capillary Electrophoresis–Time of Flight/Mass Spectrometry. Anal Chem 2011; 83:8063-8. [DOI: 10.1021/ac201980w] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Naomi L. Kuehnbaum
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario L8S 4MI, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario L8S 4MI, Canada
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20
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Sisu E, Flangea C, Serb A, Rizzi A, Zamfir AD. High-performance separation techniques hyphenated to mass spectrometry for ganglioside analysis. Electrophoresis 2011; 32:1591-609. [DOI: 10.1002/elps.201100067] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2011] [Revised: 03/09/2011] [Accepted: 03/09/2011] [Indexed: 11/06/2022]
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