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Michorowska S, Kucharski D, Chojnacka J, Nałęcz-Jawecki G, Marek D, Giebułtowicz J. Metabolomic study on ostracods exposed to environmentally relevant concentrations of five pharmaceuticals selected via a novel approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174036. [PMID: 38889824 DOI: 10.1016/j.scitotenv.2024.174036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/20/2024]
Abstract
Pharmaceuticals (PhACs) are increasingly detected in aquatic ecosystems, yet their effects on biota remain largely unknown. The environmentally relevant concentrations of many PhACs may not result in individual-level responses, like mortality or growth inhibition, traditional toxicity endpoints. However, this doesn't imply the absence of negative effects on biota. Metabolomics offers a more sensitive approach, detecting responses at molecular and cellular levels and providing mechanistic understanding of adverse effects. We evaluated bioaccumulation and metabolic alterations in a benthic ostracod, Heterocypris incongruens, exposed to a mixture of five PhACs (carbamazepine, tiapride, tolperisone, propranolol and amlodipine) at environmentally relevant concentrations for 7 days using liquid chromatography coupled with mass spectrometry. The selection of PhACs was based, among other factors, on risk quotient values determined using toxicological data available in the literature and concentrations of PhACs quantified in our previous research in the sediments of the Odra River estuary. This represents a novel approach to PhACs selection for metabolomic studies that considers strictly quantitative data. Amlodipine and tolperisone exhibited the highest bioaccumulation. Significant impacts were observed in Alanine, aspartate and glutamate metabolism, Starch and sucrose metabolism, Arginine biosynthesis, Histidine metabolism, Tryptophan metabolism, Glycerophospholipid metabolism, and Glutathione metabolism pathways. Most of the below-individual-level responses were likely nonspecific and related to dysregulation in energy metabolism and oxidative stress response. Additionally, some pharmaceutical-specific responses were also observed. Therefore, untargeted metabolomics can be used to detect metabolic changes resulting from environmentally relevant concentrations of PhACs in aquatic ecosystems and to understand their underlying mechanism.
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Affiliation(s)
- Sylwia Michorowska
- Department of Drug Chemistry, Pharmaceutical and Biomedical Analysis, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland
| | - Dawid Kucharski
- Department of Drug Chemistry, Pharmaceutical and Biomedical Analysis, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland
| | - Justyna Chojnacka
- Department of Toxicology and Food Science, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland
| | - Grzegorz Nałęcz-Jawecki
- Department of Toxicology and Food Science, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland
| | - Dominik Marek
- Department of Drug Chemistry, Pharmaceutical and Biomedical Analysis, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland
| | - Joanna Giebułtowicz
- Department of Drug Chemistry, Pharmaceutical and Biomedical Analysis, Medical University of Warsaw, Banacha 1 Str., 02-097 Warszawa, Poland.
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Beger RD, Goodacre R, Jones CM, Lippa KA, Mayboroda OA, O'Neill D, Najdekr L, Ntai I, Wilson ID, Dunn WB. Analysis types and quantification methods applied in UHPLC-MS metabolomics research: a tutorial. Metabolomics 2024; 20:95. [PMID: 39110307 PMCID: PMC11306277 DOI: 10.1007/s11306-024-02155-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 07/16/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND Different types of analytical methods, with different characteristics, are applied in metabolomics and lipidomics research and include untargeted, targeted and semi-targeted methods. Ultra High Performance Liquid Chromatography-Mass Spectrometry is one of the most frequently applied measurement instruments in metabolomics because of its ability to detect a large number of water-soluble and lipid metabolites over a wide range of concentrations in short analysis times. Methods applied for the detection and quantification of metabolites differ and can either report a (normalised) peak area or an absolute concentration. AIM OF REVIEW In this tutorial we aim to (1) define similarities and differences between different analytical approaches applied in metabolomics and (2) define how amounts or absolute concentrations of endogenous metabolites can be determined together with the advantages and limitations of each approach in relation to the accuracy and precision when concentrations are reported. KEY SCIENTIFIC CONCEPTS OF REVIEW The pre-analysis knowledge of metabolites to be targeted, the requirement for (normalised) peak responses or absolute concentrations to be reported and the number of metabolites to be reported define whether an untargeted, targeted or semi-targeted method is applied. Fully untargeted methods can only provide (normalised) peak responses and fold changes which can be reported even when the structural identity of the metabolite is not known. Targeted methods, where the analytes are known prior to the analysis, can also report fold changes. Semi-targeted methods apply a mix of characteristics of both untargeted and targeted assays. For the reporting of absolute concentrations of metabolites, the analytes are not only predefined but optimized analytical methods should be developed and validated for each analyte so that the accuracy and precision of concentration data collected for biological samples can be reported as fit for purpose and be reviewed by the scientific community.
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Affiliation(s)
- Richard D Beger
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Royston Goodacre
- Department of Biochemistry, Cell and Systems Biology, Centre for Metabolomics Research, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Christina M Jones
- Office of Advanced Manufacturing, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Katrice A Lippa
- Office of Weights and Measures, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Oleg A Mayboroda
- Center for Proteomics and Metabolomics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Donna O'Neill
- School of Biosciences and Phenome Centre Birmingham, University of Birmingham, Birmingham, UK
| | - Lukas Najdekr
- Faculty of Medicine and Dentistry, Institute of Molecular and Translational Medicine, Palacký University Olomouc, 779 00, Olomouc, Czech Republic
| | - Ioanna Ntai
- BioMarin Pharmaceutical Inc., San Rafael, CA, USA
| | - Ian D Wilson
- Department of Biochemistry, Cell and Systems Biology, Centre for Metabolomics Research, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
- Computational and Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Warwick B Dunn
- Department of Biochemistry, Cell and Systems Biology, Centre for Metabolomics Research, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
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Wancewicz B, Pergande MR, Zhu Y, Gao Z, Shi Z, Plouff K, Ge Y. Comprehensive Metabolomic Analysis of Human Heart Tissue Enabled by Parallel Metabolite Extraction and High-Resolution Mass Spectrometry. Anal Chem 2024; 96:5781-5789. [PMID: 38568106 PMCID: PMC11057979 DOI: 10.1021/acs.analchem.3c04353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The heart contracts incessantly and requires a constant supply of energy, utilizing numerous metabolic substrates, such as fatty acids, carbohydrates, lipids, and amino acids, to supply its high energy demands. Therefore, a comprehensive analysis of various metabolites is urgently needed for understanding cardiac metabolism; however, complete metabolome analyses remain challenging due to the broad range of metabolite polarities, which makes extraction and detection difficult. Herein, we implemented parallel metabolite extractions and high-resolution mass spectrometry (MS)-based methods to obtain a comprehensive analysis of the human heart metabolome. To capture the diverse range of metabolite polarities, we first performed six parallel liquid-liquid extractions (three monophasic, two biphasic, and one triphasic) of healthy human donor heart tissue. Next, we utilized two complementary MS platforms for metabolite detection: direct-infusion ultrahigh-resolution Fourier-transform ion cyclotron resonance (DI-FTICR) and high-resolution liquid chromatography quadrupole time-of-flight tandem MS (LC-Q-TOF-MS/MS). Using DI-FTICR MS, 9644 metabolic features were detected where 7156 were assigned a molecular formula and 1107 were annotated by accurate mass assignment. Using LC-Q-TOF-MS/MS, 21,428 metabolic features were detected where 285 metabolites were identified based on fragmentation matching against publicly available libraries. Collectively, 1340 heart metabolites were identified in this study, which span a wide range of polarities including polar (benzenoids, carbohydrates, and nucleosides) as well as nonpolar (phosphatidylcholines, acylcarnitines, and fatty acids) compounds. The results from this study will provide critical knowledge regarding the selection of appropriate extraction and MS detection methods for the analysis of the diverse classes of human heart metabolites.
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Affiliation(s)
- Benjamin Wancewicz
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Melissa R. Pergande
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Yanlong Zhu
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhan Gao
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhuoxin Shi
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Kylie Plouff
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Ying Ge
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
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Drury NE, van Doorn C, Woolley RL, Amos-Hirst RJ, Bi R, Spencer CM, Morris KP, Montgomerie J, Stickley J, Crucean A, Gill A, Hill M, Weber RJ, Najdekr L, Jankevics A, Southam AD, Lloyd GR, Jaber O, Kassai I, Pelella G, Khan NE, Botha P, Barron DJ, Madhani M, Dunn WB, Ives NJ, Kirchhof P, Jones TJ. Bilateral remote ischemic conditioning in children: A two-center, double-blind, randomized controlled trial in young children undergoing cardiac surgery. JTCVS OPEN 2024; 18:193-208. [PMID: 38690427 PMCID: PMC11056492 DOI: 10.1016/j.xjon.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/30/2024] [Accepted: 02/20/2024] [Indexed: 05/02/2024]
Abstract
Objective The study objective was to determine whether adequately delivered bilateral remote ischemic preconditioning is cardioprotective in young children undergoing surgery for 2 common congenital heart defects with or without cyanosis. Methods We performed a prospective, double-blind, randomized controlled trial at 2 centers in the United Kingdom. Children aged 3 to 36 months undergoing tetralogy of Fallot repair or ventricular septal defect closure were randomized 1:1 to receive bilateral preconditioning or sham intervention. Participants were followed up until hospital discharge or 30 days. The primary outcome was area under the curve for high-sensitivity troponin-T in the first 24 hours after surgery, analyzed by intention-to-treat. Right atrial biopsies were obtained in selected participants. Results Between October 2016 and December 2020, 120 eligible children were randomized to receive bilateral preconditioning (n = 60) or sham intervention (n = 60). The primary outcome, area under the curve for high-sensitivity troponin-T, was higher in the preconditioning group (mean: 70.0 ± 50.9 μg/L/h, n = 56) than in controls (mean: 55.6 ± 30.1 μg/L/h, n = 58) (mean difference, 13.2 μg/L/h; 95% CI, 0.5-25.8; P = .04). Subgroup analyses did not show a differential treatment effect by oxygen saturations (pinteraction = .25), but there was evidence of a differential effect by underlying defect (pinteraction = .04). Secondary outcomes and myocardial metabolism, quantified in atrial biopsies, were not different between randomized groups. Conclusions Bilateral remote ischemic preconditioning does not attenuate myocardial injury in children undergoing surgical repair for congenital heart defects, and there was evidence of potential harm in unstented tetralogy of Fallot. The routine use of remote ischemic preconditioning cannot be recommended for myocardial protection during pediatric cardiac surgery.
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Affiliation(s)
- Nigel E. Drury
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Carin van Doorn
- Department of Congenital Cardiac Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Rebecca L. Woolley
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Rebecca J. Amos-Hirst
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Rehana Bi
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Collette M. Spencer
- Department of Congenital Cardiac Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Kevin P. Morris
- Department of Paediatric Intensive Care, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - James Montgomerie
- Department of Paediatric Cardiac Anesthesia, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - John Stickley
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Adrian Crucean
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Alicia Gill
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Matt Hill
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Ralf J.M. Weber
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Lukas Najdekr
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Andris Jankevics
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Andrew D. Southam
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Gavin R. Lloyd
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Osama Jaber
- Department of Congenital Cardiac Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Imre Kassai
- Department of Congenital Cardiac Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Giuseppe Pelella
- Department of Congenital Cardiac Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Natasha E. Khan
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Phil Botha
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - David J. Barron
- Division of Cardiovascular Surgery, Hospital for Sick Children, Toronto, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
| | - Melanie Madhani
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Warwick B. Dunn
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham, Birmingham, United Kingdom
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Natalie J. Ives
- Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Paulus Kirchhof
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
- Department of Cardiology, University Heart and Vascular Centre, UKE Hamburg, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Timothy J. Jones
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
- Department of Paediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, United Kingdom
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Sarkar S, Roy D, Chatterjee B, Ghosh R. Clinical advances in analytical profiling of signature lipids: implications for severe non-communicable and neurodegenerative diseases. Metabolomics 2024; 20:37. [PMID: 38459207 DOI: 10.1007/s11306-024-02100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/06/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Lipids play key roles in numerous biological processes, including energy storage, cell membrane structure, signaling, immune responses, and homeostasis, making lipidomics a vital branch of metabolomics that analyzes and characterizes a wide range of lipid classes. Addressing the complex etiology, age-related risk, progression, inflammation, and research overlap in conditions like Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and Cancer poses significant challenges in the quest for effective therapeutic targets, improved diagnostic markers, and advanced treatments. Mass spectrometry is an indispensable tool in clinical lipidomics, delivering quantitative and structural lipid data, and its integration with technologies like Liquid Chromatography (LC), Magnetic Resonance Imaging (MRI), and few emerging Matrix-Assisted Laser Desorption Ionization- Imaging Mass Spectrometry (MALDI-IMS) along with its incorporation into Tissue Microarray (TMA) represents current advances. These innovations enhance lipidomics assessment, bolster accuracy, and offer insights into lipid subcellular localization, dynamics, and functional roles in disease contexts. AIM OF THE REVIEW The review article summarizes recent advancements in lipidomic methodologies from 2019 to 2023 for diagnosing major neurodegenerative diseases, Alzheimer's and Parkinson's, serious non-communicable cardiovascular diseases and cancer, emphasizing the role of lipid level variations, and highlighting the potential of lipidomics data integration with genomics and proteomics to improve disease understanding and innovative prognostic, diagnostic and therapeutic strategies. KEY SCIENTIFIC CONCEPTS OF REVIEW Clinical lipidomic studies are a promising approach to track and analyze lipid profiles, revealing their crucial roles in various diseases. This lipid-focused research provides insights into disease mechanisms, biomarker identification, and potential therapeutic targets, advancing our understanding and management of conditions such as Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and specific cancers.
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Affiliation(s)
- Sutanu Sarkar
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Deotima Roy
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Bhaskar Chatterjee
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Rajgourab Ghosh
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India.
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Pardon M, Reis R, de Witte P, Chapel S, Cabooter D. Detailed comparison of in-house developed and commercially available heart-cutting and selective comprehensive two-dimensional liquid chromatography systems. J Chromatogr A 2024; 1713:464565. [PMID: 38096685 DOI: 10.1016/j.chroma.2023.464565] [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: 10/21/2023] [Revised: 11/21/2023] [Accepted: 12/05/2023] [Indexed: 01/08/2024]
Abstract
Recently, two-dimensional liquid chromatography (2D-LC) has become a popular approach to analyze complex samples. This is partly due to the introduction of commercial 2D-LC systems. In the past, 2D-LC was carried out on in-house developed setups, typically consisting of several switching valves and sample loops as the interface between the two dimensions. Commercial systems usually offer different 2D-LC modes in combination with specialized software to operate the instrument and analyze the data. This makes them highly user-friendly, however, at an increased cost compared to in-house developed setups. This study aims to make a comparison between an in-house developed 2D-LC setup and a commercially available 2D-LC instrument. The comparison is made based on experimental differences, in addition to more general differences, including cost price, flexibility, and ease of operation. Special attention is also paid to the different strategies to deal with the mobile phase incompatibility between the highly orthogonal separation mechanisms considered in this work: hydrophilic interaction liquid chromatography (HILIC) and reversed-phase LC (RPLC). For the commercial 2D-LC instrument, this is done using active solvent modulation (ASM), a valve-based approach allowing the on-line dilution of the effluent eluting from the first dimension column before transfer to the second dimension (2D) column. For the in-house developed setup, a combination of restriction capillaries and a trap column is used. Using a sample of 28 compounds with a large polarity range, peak shapes and recoveries of the 2D-chromatograms are compared for both setups. For early eluting compounds, the selective comprehensive approach, currently only possible on the commercial 2D-LC instrument, results in the best peak shapes and recoveries, however, at the cost of an increased analysis time. In general, depending on the analytical goal (single heart-cut versus full-comprehensive 2D-LC), an in-house developed system can be satisfactory for the analysis of specific target compounds/samples. For more complex problems, it can be interesting to use a more specialized commercial 2D-LC instrument. Overall, this comparison study provides advice for analytical scientists, who are considering to use 2D-LC, on the type of equipment to consider, depending on the needs of their particular applications.
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Affiliation(s)
- Marie Pardon
- Laboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium; Laboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium
| | - Rafael Reis
- Laboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium
| | - Peter de Witte
- Laboratory for Molecular Biodiscovery, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium
| | - Soraya Chapel
- Laboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium
| | - Deirdre Cabooter
- Laboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49 Box 824, 3000 Leuven, Belgium.
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Salihovic S, Lamichane S, Hyötyläinen T, Orešič M. Recent advances towards mass spectrometry-based clinical lipidomics. Curr Opin Chem Biol 2023; 76:102370. [PMID: 37473482 DOI: 10.1016/j.cbpa.2023.102370] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/17/2023] [Accepted: 06/20/2023] [Indexed: 07/22/2023]
Abstract
The objective of this review is to provide a comprehensive summary of the latest methodological advancements and emerging patterns in utilizing lipidomics in clinical research.In this review, we assess the recent advancements in lipidomics methodologies that exhibit high levels of selectivity and sensitivity, capable of generating numerous molecular lipid species from limited quantities of biological matrices. The reviewed studies demonstrate that molecular lipid signatures offer new opportunities for precision medicine by providing sensitive diagnostic tools for disease prediction and monitoring. Moreover, the latest innovations in microsampling techniques have the potential to make a substantial contribution to clinical lipidomics. The review also shows that more work is needed to harmonize results across diverse lipidomics platforms and avoid significant errors in analysis and reporting. The increased implementation of internal standards and standard reference materials in analytical workflows will aid in this direction.
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Affiliation(s)
- Samira Salihovic
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Santosh Lamichane
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | | | - Matej Orešič
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
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8
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Wancewicz B, Pergande MR, Zhu Y, Gao Z, Shi Z, Plouff K, Ge Y. Comprehensive Metabolomic Analysis of Human Heart Tissue Enabled by Parallel Metabolite Extraction and High-Resolution Mass Spectrometry. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.15.558013. [PMID: 37745334 PMCID: PMC10516009 DOI: 10.1101/2023.09.15.558013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The heart contracts incessantly and requires a constant supply of energy, utilizing numerous metabolic substrates such as fatty acids, carbohydrates, lipids, and amino acids to supply its high energy demands. Therefore, a comprehensive analysis of various metabolites is urgently needed for understanding cardiac metabolism; however, complete metabolome analyses remain challenging due to the broad range of metabolite polarities which makes extraction and detection difficult. Herein, we implemented parallel metabolite extractions and high-resolution mass spectrometry (MS)-based methods to obtain a comprehensive analysis of the human heart metabolome. To capture the diverse range of metabolite polarities, we first performed six parallel liquid-liquid extractions (three monophasic, two biphasic, and one triphasic extractions) of healthy human donor heart tissue. Next, we utilized two complementary MS platforms for metabolite detection - direct-infusion ultrahigh-resolution Fourier-transform ion cyclotron resonance (DI-FTICR) and high-resolution liquid chromatography quadrupole time-of-flight tandem MS (LC-Q-TOF MS/MS). Using DI-FTICR MS, 9,521 metabolic features were detected where 7,699 were assigned a chemical formula and 1,756 were assigned an annotated by accurate mass assignment. Using LC-Q-TOF MS/MS, 21,428 metabolic features were detected where 626 metabolites were identified based on fragmentation matching against publicly available libraries. Collectively, 2276 heart metabolites were identified in this study which span a wide range of polarities including polar (benzenoids, alkaloids and derivatives and nucleosides) as well as non-polar (phosphatidylcholines, acylcarnitines, and fatty acids) compounds. The results of this study will provide critical knowledge regarding the selection of appropriate extraction and MS detection methods for the analysis of the diverse classes of human heart metabolites.
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Affiliation(s)
- Benjamin Wancewicz
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Melissa R. Pergande
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Yanlong Zhu
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhan Gao
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhuoxin Shi
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Kylie Plouff
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Ying Ge
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
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9
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Bowen TJ, Southam AD, Hall AR, Weber RJM, Lloyd GR, Macdonald R, Wilson A, Pointon A, Viant MR. Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics. Nat Commun 2023; 14:4653. [PMID: 37537184 PMCID: PMC10400635 DOI: 10.1038/s41467-023-40333-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 07/20/2023] [Indexed: 08/05/2023] Open
Abstract
Untargeted metabolomics is an established approach in toxicology for characterising endogenous metabolic responses to xenobiotic exposure. Detecting the xenobiotic and its biotransformation products as part of the metabolomics analysis provides an opportunity to simultaneously gain deep insights into its fate and metabolism, and to associate the internal relative dose directly with endogenous metabolic responses. This integration of untargeted exposure and response measurements into a single assay has yet to be fully demonstrated. Here we assemble a workflow to discover and analyse pharmaceutical-related measurements from routine untargeted UHPLC-MS metabolomics datasets, derived from in vivo (rat plasma and cardiac tissue, and human plasma) and in vitro (human cardiomyocytes) studies that were principally designed to investigate endogenous metabolic responses to drug exposure. Our findings clearly demonstrate how untargeted metabolomics can discover extensive biotransformation maps, temporally-changing relative systemic exposure, and direct associations of endogenous biochemical responses to the internal dose.
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Affiliation(s)
- Tara J Bowen
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Andrew D Southam
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Andrew R Hall
- Safety Sciences, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ralf J M Weber
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Gavin R Lloyd
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Ruth Macdonald
- Animal Sciences and Technology, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Amanda Wilson
- Integrated Bioanalysis, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Amy Pointon
- Safety Sciences, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Mark R Viant
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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10
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Muhamadali H, Winder CL, Dunn WB, Goodacre R. Unlocking the secrets of the microbiome: exploring the dynamic microbial interplay with humans through metabolomics and their manipulation for synthetic biology applications. Biochem J 2023; 480:891-908. [PMID: 37378961 PMCID: PMC10317162 DOI: 10.1042/bcj20210534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/12/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
Metabolomics is a powerful research discovery tool with the potential to measure hundreds to low thousands of metabolites. In this review, we discuss the application of GC-MS and LC-MS in discovery-based metabolomics research, we define metabolomics workflows and we highlight considerations that need to be addressed in order to generate robust and reproducible data. We stress that metabolomics is now routinely applied across the biological sciences to study microbiomes from relatively simple microbial systems to their complex interactions within consortia in the host and the environment and highlight this in a range of biological species and mammalian systems including humans. However, challenges do still exist that need to be overcome to maximise the potential for metabolomics to help us understanding biological systems. To demonstrate the potential of the approach we discuss the application of metabolomics in two broad research areas: (1) synthetic biology to increase the production of high-value fine chemicals and reduction in secondary by-products and (2) gut microbial interaction with the human host. While burgeoning in importance, the latter is still in its infancy and will benefit from the development of tools to detangle host-gut-microbial interactions and their impact on human health and diseases.
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Affiliation(s)
- Howbeer Muhamadali
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, U.K
| | - Catherine L. Winder
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, U.K
| | - Warwick B. Dunn
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, U.K
| | - Royston Goodacre
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, U.K
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11
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Optimizing transfer and dilution processes when using active solvent modulation in on-line two-dimensional liquid chromatography. Anal Chim Acta 2023; 1252:341040. [PMID: 36935135 DOI: 10.1016/j.aca.2023.341040] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
Two-dimensional liquid chromatography (2D-LC) is becoming increasingly popular for the analysis of complex samples, which is partly due to the recent introduction of commercial 2D-LC systems. To deal with the mobile phase incompatibility between highly orthogonal retention mechanisms, such as hydrophilic interaction liquid chromatography (HILIC) and reversed-phase LC (RPLC), several strategies have been introduced over the years. One of these strategies is active solvent modulation (ASM), a valve-based approach allowing the on-line dilution of the effluent eluting from the first dimension before transfer to the second dimension. This strategy has gained a lot of attention and holds great potential, however, no clear guidelines are currently in place for its use. Therefore, this study aims to investigate how the ASM process can be optimized when using highly incompatible LC combinations, such as HILIC and RPLC, in a simplified selective comprehensive 2D-LC set-up (sHILIC x RPLC) to suggest guidelines for future users. Using a representative sample, the dilution factor (DF), the duration of the ASM phase, the filling percentage of the sample loops, and their unloading configuration are investigated and optimized. It is observed that a DF of 10 with an optimal ASM phase duration, a sample loop filling of maximum 25%, and an unloading configuration in backflush mode, result in the best peak shapes, intensities, and recoveries for early eluting compounds, while keeping the total analysis time minimal. Based on these results, some general recommendations are made that could also be applied in other 2D-LC modes, such as comprehensive 2D-LC (LC x LC), heart-cutting 2D-LC (LC-LC), and other chromatographic combinations with mobile phase incompatibility issues.
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12
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Zhang N, Kandalai S, Zhou X, Hossain F, Zheng Q. Applying multi-omics toward tumor microbiome research. IMETA 2023; 2:e73. [PMID: 38868335 PMCID: PMC10989946 DOI: 10.1002/imt2.73] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/30/2022] [Accepted: 11/28/2022] [Indexed: 06/14/2024]
Abstract
Rather than a "short-term tenant," the tumor microbiome has been shown to play a vital role as a "permanent resident," affecting carcinogenesis, cancer development, metastasis, and cancer therapies. As the tumor microbiome has great potential to become a target for the early diagnosis and treatment of cancer, recent research on the relevance of the tumor microbiota has attracted a wide range of attention from various scientific fields, resulting in remarkable progress that benefits from the development of interdisciplinary technologies. However, there are still a great variety of challenges in this emerging area, such as the low biomass of intratumoral bacteria and unculturable character of some microbial species. Due to the complexity of tumor microbiome research (e.g., the heterogeneity of tumor microenvironment), new methods with high spatial and temporal resolution are urgently needed. Among these developing methods, multi-omics technologies (combinations of genomics, transcriptomics, proteomics, and metabolomics) are powerful approaches that can facilitate the understanding of the tumor microbiome on different levels of the central dogma. Therefore, multi-omics (especially single-cell omics) will make enormous impacts on the future studies of the interplay between microbes and tumor microenvironment. In this review, we have systematically summarized the advances in multi-omics and their existing and potential applications in tumor microbiome research, thus providing an omics toolbox for investigators to reference in the future.
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Affiliation(s)
- Nan Zhang
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Shruthi Kandalai
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Xiaozhuang Zhou
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Farzana Hossain
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
| | - Qingfei Zheng
- Department of Radiation Oncology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
- Center for Cancer Metabolism, Ohio State University Comprehensive Cancer Center ‐ James Cancer Hospital and Solove Research InstituteThe Ohio State UniversityOhioColumbusUSA
- Department of Biological Chemistry and Pharmacology, College of MedicineThe Ohio State UniversityColumbusOhioUSA
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13
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Derivation of metabolic point of departure using high-throughput in vitro metabolomics: investigating the importance of sampling time points on benchmark concentration values in the HepaRG cell line. Arch Toxicol 2023; 97:721-735. [PMID: 36683062 PMCID: PMC9968698 DOI: 10.1007/s00204-022-03439-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/21/2022] [Indexed: 01/23/2023]
Abstract
Amongst omics technologies, metabolomics should have particular value in regulatory toxicology as the measurement of the molecular phenotype is the closest to traditional apical endpoints, whilst offering mechanistic insights into the biological perturbations. Despite this, the application of untargeted metabolomics for point-of-departure (POD) derivation via benchmark concentration (BMC) modelling is still a relatively unexplored area. In this study, a high-throughput workflow was applied to derive PODs associated with a chemical exposure by measuring the intracellular metabolome of the HepaRG cell line following treatment with one of four chemicals (aflatoxin B1, benzo[a]pyrene, cyclosporin A, or rotenone), each at seven concentrations (aflatoxin B1, benzo[a]pyrene, cyclosporin A: from 0.2048 μM to 50 μM; rotenone: from 0.04096 to 10 μM) and five sampling time points (2, 6, 12, 24 and 48 h). The study explored three approaches to derive PODs using benchmark concentration modelling applied to single features in the metabolomics datasets or annotated metabolites or lipids: (1) the 1st rank-ordered unannotated feature, (2) the 1st rank-ordered putatively annotated feature (using a recently developed HepaRG-specific library of polar metabolites and lipids), and (3) 25th rank-ordered feature, demonstrating that for three out of four chemical datasets all of these approaches led to relatively consistent BMC values, varying less than tenfold across the methods. In addition, using the 1st rank-ordered unannotated feature it was possible to investigate temporal trends in the datasets, which were shown to be chemical specific. Furthermore, a possible integration of metabolomics-driven POD derivation with the liver steatosis adverse outcome pathway (AOP) was demonstrated. The study highlights that advances in technologies enable application of in vitro metabolomics at scale; however, greater confidence in metabolite identification is required to ensure PODs are mechanistically anchored.
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14
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Kelly PE, Ng HJ, Farrell G, McKirdy S, Russell RK, Hansen R, Rattray Z, Gerasimidis K, Rattray NJW. An Optimised Monophasic Faecal Extraction Method for LC-MS Analysis and Its Application in Gastrointestinal Disease. Metabolites 2022; 12:1110. [PMID: 36422250 PMCID: PMC9698041 DOI: 10.3390/metabo12111110] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 12/28/2023] Open
Abstract
Liquid chromatography coupled with mass spectrometry (LC-MS) metabolomic approaches are widely used to investigate underlying pathogenesis of gastrointestinal disease and mechanism of action of treatments. However, there is an unmet requirement to assess faecal metabolite extraction methods for large-scale metabolomics studies. Current methods often rely on biphasic extractions using harmful halogenated solvents, making automation and large-scale studies challenging. The present study reports an optimised monophasic faecal extraction protocol that is suitable for untargeted and targeted LC-MS analyses. The impact of several experimental parameters, including sample weight, extraction solvent, cellular disruption method, and sample-to-solvent ratio, were investigated. It is suggested that a 50 mg freeze-dried faecal sample should be used in a methanol extraction (1:20) using bead beating as the means of cell disruption. This is revealed by a significant increase in number of metabolites detected, improved signal intensity, and wide metabolic coverage given by each of the above extraction parameters. Finally, we addressed the applicability of the method on faecal samples from patients with Crohn's disease (CD) and coeliac disease (CoD), two distinct chronic gastrointestinal diseases involving metabolic perturbations. Untargeted and targeted metabolomic analysis demonstrated the ability of the developed method to detect and stratify metabolites extracted from patient groups and healthy controls (HC), highlighting characteristic changes in the faecal metabolome according to disease. The method developed is, therefore, suitable for the analysis of patients with gastrointestinal disease and can be used to detect and distinguish differences in the metabolomes of CD, CoD, and HC.
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Affiliation(s)
- Patricia E. Kelly
- Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow G4 0RE, UK
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
| | - H Jene Ng
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow Royal Infirmary, Glasgow G12 8QQ, UK
| | - Gillian Farrell
- Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow G4 0RE, UK
| | - Shona McKirdy
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow Royal Infirmary, Glasgow G12 8QQ, UK
| | - Richard K. Russell
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
- Royal Hospital for Children and Young People, 50 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Richard Hansen
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
- Royal Hospital for Children, 1345 Govan Road, Glasgow G52 4TF, UK
| | - Zahra Rattray
- Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow G4 0RE, UK
| | - Konstantinos Gerasimidis
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow Royal Infirmary, Glasgow G12 8QQ, UK
| | - Nicholas J. W. Rattray
- Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow G4 0RE, UK
- Bacteria, Immunology, Nutrition, Gastroenterology and Omics (BINGO) Group, University of Glasgow, Glasgow G12 8QQ, UK
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15
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Kohler I, Verhoeven M, Haselberg R, Gargano AF. Hydrophilic interaction chromatography – mass spectrometry for metabolomics and proteomics: state-of-the-art and current trends. Microchem J 2022. [DOI: 10.1016/j.microc.2021.106986] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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16
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Bowen TJ, Hall AR, Lloyd GR, Weber RJM, Wilson A, Pointon A, Viant MR. An Extensive Metabolomics Workflow to Discover Cardiotoxin-Induced Molecular Perturbations in Microtissues. Metabolites 2021; 11:644. [PMID: 34564460 PMCID: PMC8470535 DOI: 10.3390/metabo11090644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/13/2021] [Accepted: 09/15/2021] [Indexed: 11/29/2022] Open
Abstract
Discovering modes of action and predictive biomarkers of drug-induced structural cardiotoxicity offers the potential to improve cardiac safety assessment of lead compounds and enhance preclinical to clinical translation during drug development. Cardiac microtissues are a promising, physiologically relevant, in vitro model, each composed of ca. 500 cells. While untargeted metabolomics is capable of generating hypotheses on toxicological modes of action and discovering metabolic biomarkers, applying this technology to low-biomass microtissues in suspension is experimentally challenging. Thus, we first evaluated a filtration-based approach for harvesting microtissues and assessed the sensitivity and reproducibility of nanoelectrospray direct infusion mass spectrometry (nESI-DIMS) measurements of intracellular extracts, revealing samples consisting of 28 pooled microtissues, harvested by filtration, are suitable for profiling the intracellular metabolome and lipidome. Subsequently, an extensive workflow combining nESI-DIMS untargeted metabolomics and lipidomics of intracellular extracts with ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS/MS) analysis of spent culture medium, to profile the metabolic footprint and quantify drug exposure concentrations, was implemented. Using the synthetic drug and model cardiotoxin sunitinib, time-resolved metabolic and lipid perturbations in cardiac microtissues were investigated, providing valuable data for generating hypotheses on toxicological modes of action and identifying putative biomarkers such as disruption of purine metabolism and perturbation of polyunsaturated fatty acid levels.
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Affiliation(s)
- Tara J. Bowen
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (T.J.B.); (R.J.M.W.)
| | - Andrew R. Hall
- Functional and Mechanistic Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK; (A.R.H.); (A.P.)
| | - Gavin R. Lloyd
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Ralf J. M. Weber
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (T.J.B.); (R.J.M.W.)
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Amanda Wilson
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB4 0WG, UK;
| | - Amy Pointon
- Functional and Mechanistic Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK; (A.R.H.); (A.P.)
| | - Mark R. Viant
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (T.J.B.); (R.J.M.W.)
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
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17
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Yu S, Fan J, Zhang L, Qin X, Li Z. Assessment of Biphasic Extraction Methods of Mouse Fecal Metabolites for Liquid Chromatography-Mass Spectrometry-Based Metabolomic Studies. J Proteome Res 2021; 20:4487-4494. [PMID: 34435490 DOI: 10.1021/acs.jproteome.1c00450] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
With the increasing knowledge about the important roles of gut microbiota on the biological system, a systematic strategy to profile the fecal metabolome is urgently needed. Thus, an unbiased, efficient, and reproducible fecal metabolite extraction protocol needs to be established; however, the effect of biphasic extraction methods for the fecal samples remains unclear. In this study, five different methods were assessed in the extraction of polar and non-polar metabolites for the liquid chromatography-mass spectrometry (LC-MS)-based mouse fecal metabolomic study. First, the detection coverage of two extraction systems, the Bligh and Dyer extraction method (M1, chloroform/methanol/water, 2/2/1.8) and Matyash method (M2, methyl tert-butyl ether (MTBE)/methanol/water, 10/3/2.5), was compared; then, MTBE/methanol/water system with different solvent ratios (M3, 2.6/2.0/2.4; M4, 4.5/1/2.5; and M5, 3/2.5/2.5) were further evaluated. The results showed that M2 showed higher detection coverage than M1. For the MTBE/methanol/water system with different solvent ratios, M3 showed the largest detection coverage based on peak numbers and numbers of putatively annotated metabolites, while M4 presented the least overlap between two phases, higher peak intensities of metabolites, and superior reproducibility. Based on the above evidence, M4 was recommended for the biphasic extraction of fecal metabolites in the LC-MS-based mouse fecal metabolomic study.
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Affiliation(s)
- Shuting Yu
- Modern Research Center for Traditional Chinese Medicine, the Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, No. 92, Wucheng Road, Taiyuan, Shanxi 030006, People's Republic of China
| | - Jianxin Fan
- Modern Research Center for Traditional Chinese Medicine, the Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, No. 92, Wucheng Road, Taiyuan, Shanxi 030006, People's Republic of China
| | - Lin Zhang
- Modern Research Center for Traditional Chinese Medicine, the Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, No. 92, Wucheng Road, Taiyuan, Shanxi 030006, People's Republic of China
| | - Xuemei Qin
- Modern Research Center for Traditional Chinese Medicine, the Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, No. 92, Wucheng Road, Taiyuan, Shanxi 030006, People's Republic of China
| | - Zhenyu Li
- Modern Research Center for Traditional Chinese Medicine, the Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, No. 92, Wucheng Road, Taiyuan, Shanxi 030006, People's Republic of China
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18
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Abstract
BACKGROUND Precision medicine, space exploration, drug discovery to characterization of dark chemical space of habitats and organisms, metabolomics takes a centre stage in providing answers to diverse biological, biomedical, and environmental questions. With technological advances in mass-spectrometry and spectroscopy platforms that aid in generation of information rich datasets that are complex big-data, data analytics tend to co-evolve to match the pace of analytical instrumentation. Software tools, resources, databases, and solutions help in harnessing the concealed information in the generated data for eventual translational success. AIM OF THE REVIEW In this review, ~ 85 metabolomics software resources, packages, tools, databases, and other utilities that appeared in 2020 are introduced to the research community. KEY SCIENTIFIC CONCEPTS OF REVIEW In Table 1 the computational dependencies and downloadable links of the tools are provided, and the resources are categorized based on their utility. The review aims to keep the community of metabolomics researchers updated with all the resources developed in 2020 at a collated avenue, in line with efforts form 2015 onwards to help them find these at one place for further referencing and use.
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