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Li S, Looby N, Chandran V, Kulasingam V. Challenges in the Metabolomics-Based Biomarker Validation Pipeline. Metabolites 2024; 14:200. [PMID: 38668328 PMCID: PMC11051909 DOI: 10.3390/metabo14040200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 03/27/2024] [Accepted: 03/31/2024] [Indexed: 04/28/2024] Open
Abstract
As end-products of the intersection between the genome and environmental influences, metabolites represent a promising approach to the discovery of novel biomarkers for diseases. However, many potential biomarker candidates identified by metabolomics studies fail to progress beyond analytical validation for routine implementation in clinics. Awareness of the challenges present can facilitate the development and advancement of innovative strategies that allow improved and more efficient applications of metabolite-based markers in clinical settings. This minireview provides a comprehensive summary of the pre-analytical factors, required analytical validation studies, and kit development challenges that must be resolved before the successful translation of novel metabolite biomarkers originating from research. We discuss the necessity for strict protocols for sample collection, storage, and the regulatory requirements to be fulfilled for a bioanalytical method to be considered as analytically validated. We focus especially on the blood as a biological matrix and liquid chromatography coupled with tandem mass spectrometry as the analytical platform for biomarker validation. Furthermore, we examine the challenges of developing a commercially viable metabolomics kit for distribution. To bridge the gap between the research lab and clinical implementation and utility of relevant metabolites, the understanding of the translational challenges for a biomarker panel is crucial for more efficient development of metabolomics-based precision medicine.
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Affiliation(s)
- Shenghan Li
- Division of Rheumatology, Psoriatic Arthritis Program, Schroeder Arthritis Program, University Health Network, Toronto, ON M5T 0S8, Canada; (S.L.); (N.L.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Nikita Looby
- Division of Rheumatology, Psoriatic Arthritis Program, Schroeder Arthritis Program, University Health Network, Toronto, ON M5T 0S8, Canada; (S.L.); (N.L.)
- Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Division of Orthopaedic Surgery, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Vinod Chandran
- Division of Rheumatology, Psoriatic Arthritis Program, Schroeder Arthritis Program, University Health Network, Toronto, ON M5T 0S8, Canada; (S.L.); (N.L.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Vathany Kulasingam
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Clinical Biochemistry, Laboratory Medicine Program, University Health Network, Toronto, ON M5G 2C4, Canada
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Choksi H, Li S, Looby N, Kotlyar M, Jurisica I, Kulasingam V, Chandran V. Identifying Serum Metabolomic Markers Associated with Skin Disease Activity in Patients with Psoriatic Arthritis. Int J Mol Sci 2023; 24:15299. [PMID: 37894979 PMCID: PMC10607811 DOI: 10.3390/ijms242015299] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/05/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Psoriatic arthritis (PsA) is a chronic, systemic, immune-mediated inflammatory disease causing cutaneous and musculoskeletal inflammation that affects 25% of patients with psoriasis. Current methods for evaluating PsA disease activity are not accurate enough for precision medicine. A metabolomics-based approach can elucidate psoriatic disease pathogenesis, providing potential objective biomarkers. With the hypothesis that serum metabolites are associated with skin disease activity, we aimed to identify serum metabolites associated with skin activity in PsA patients. We obtained serum samples from patients with PsA (n = 150) who were classified into mild, moderate and high disease activity groups based on the Psoriasis Area Severity Index. We used solid-phase microextraction (SPME) for sample preparation, followed by data acquisition via an untargeted liquid chromatography-mass spectrometry (LC-MS) approach. Disease activity levels were predicted using identified metabolites and machine learning algorithms. Some metabolites tentatively identified include eicosanoids with anti- or pro-inflammatory properties, like 12-Hydroxyeicosatetraenoic acid, which was previously implicated in joint disease activity in PsA. Other metabolites of interest were associated with dysregulation of fatty acid metabolism and belonged to classes such as bile acids, oxidized phospholipids, and long-chain fatty acids. We have identified potential metabolites associated with skin disease activity in PsA patients.
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Affiliation(s)
- Hani Choksi
- Schroeder Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada; (H.C.); (S.L.); (N.L.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Shenghan Li
- Schroeder Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada; (H.C.); (S.L.); (N.L.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Nikita Looby
- Schroeder Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada; (H.C.); (S.L.); (N.L.)
| | - Max Kotlyar
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Toronto, ON M5T 0S8, Canada; (M.K.); (I.J.)
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Toronto, ON M5T 0S8, Canada; (M.K.); (I.J.)
- Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, University of Toronto, Toronto, ON M5S 1A1, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravská cesta 9, 845 10 Bratislava, Slovakia
| | - Vathany Kulasingam
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Clinical Biochemistry, Laboratory Medicine Program, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Vinod Chandran
- Schroeder Arthritis Program, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada; (H.C.); (S.L.); (N.L.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
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Ran R, Zhong X, Yang Y, Tang X, Shi M, Jiang X, Lin A, Gan X, Yu T, Hu L, Dong X, Han TL. Metabolomic profiling identifies hair as a robust biological sample for identifying women with cervical cancer. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2023; 40:75. [PMID: 36609777 DOI: 10.1007/s12032-022-01848-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/09/2022] [Indexed: 01/09/2023]
Abstract
Metabolomics serves as a useful tool for identifying biomarkers of disease and uncovering pathogenic mechanisms. However, most metabolomic studies use biological fluids such as blood and urine as biospecimens, which could be dramatically influenced by daily activities and dietary variation, resulting in measurement fluctuations. In contrast, hair may serve as a robust source of stable longitudinal metabolite information. Here, we conducted a pilot study to investigate the possibility of using hair as a biospecimen for the metabolomic analysis of cervical cancer. Hair, plasma, urine, and cervical tissue samples from cervical cancer and benign tumor patients were collected. Biospecimens were then tested using a gas chromatography-mass spectrometry-based metabolomic platform. The expressions of enzymatic genes related to metabolic changes were validated using qPCR. Statistical analyses were calculated via the R-console platform. Metabolite profiles in both hair and cervical tissue samples were significantly different between cancer and control groups, while no difference was observed in plasma and urine samples. Further analysis showed that most of the altered metabolites in hair were upregulated, and they had a negative correlation with those in the cervical tissue. Eight common metabolites showed an area under the Receiver Operating Characteristic curve greater than 0.95. These metabolites primarily participated in amino acid metabolism, cofactor synthesis, ferroptosis, and glycolysis. The gene expressions (IDH1, OGDH, GLUD1, ENO1, GSS, and GPX4) associated with the shortlisted metabolic pathways were also upregulated. Our study is the first to reveal metabolomic changes of hair in cervical cancer patients and demonstrates the potential for the hair metabolome to be used for biomarker identification in cervical cancer.
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Affiliation(s)
- Rui Ran
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaocui Zhong
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400716, China
| | - Xianglan Tang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Manlin Shi
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xingwei Jiang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Anping Lin
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaoling Gan
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tinghe Yu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Lina Hu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaojing Dong
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Ting-Li Han
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- Liggins Institute, The University of Auckland, Auckland, 1023, New Zealand.
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Zizmare L, Mehling R, Gonzalez-Menendez I, Lonati C, Quintanilla-Martinez L, Pichler BJ, Kneilling M, Trautwein C. Acute and chronic inflammation alter immunometabolism in a cutaneous delayed-type hypersensitivity reaction (DTHR) mouse model. Commun Biol 2022; 5:1250. [PMID: 36380134 PMCID: PMC9666528 DOI: 10.1038/s42003-022-04179-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
T-cell-driven immune responses are responsible for several autoimmune disorders, such as psoriasis vulgaris and rheumatoid arthritis. Identification of metabolic signatures in inflamed tissues is needed to facilitate novel and individualised therapeutic developments. Here we show the temporal metabolic dynamics of T-cell-driven inflammation characterised by nuclear magnetic resonance spectroscopy-based metabolomics, histopathology and immunohistochemistry in acute and chronic cutaneous delayed-type hypersensitivity reaction (DTHR). During acute DTHR, an increase in glutathione and glutathione disulfide is consistent with the ear swelling response and degree of neutrophilic infiltration, while taurine and ascorbate dominate the chronic phase, suggesting a switch in redox metabolism. Lowered amino acids, an increase in cell membrane repair-related metabolites and infiltration of T cells and macrophages further characterise chronic DTHR. Acute and chronic cutaneous DTHR can be distinguished by characteristic metabolic patterns associated with individual inflammatory pathways providing knowledge that will aid target discovery of specialised therapeutics. Nuclear magnetic resonance spectroscopy-based tissue metabolomics is used to define detailed temporal signatures of acute and chronic inflammation in cutaneous delayed-type hypersensitivity reaction.
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Eeza MN, Singer R, Höfling C, Matysik J, de Groot HJ, Roβner S, Alia A. Metabolic Profiling of Suprachiasmatic Nucleus Reveals Multifaceted Effects in an Alzheimer's Disease Mouse Model. J Alzheimers Dis 2021; 81:797-808. [PMID: 33843677 PMCID: PMC8203226 DOI: 10.3233/jad-201575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Circadian rhythm disturbance is commonly observed in Alzheimer's disease (AD). In mammals, these rhythms are orchestrated by the superchiasmatic nucleus (SCN). Our previous study in the Tg2576 AD mouse model suggests that inflammatory responses, most likely manifested by low GABA production, may be one of the underlying perpetrators for the changes in circadian rhythmicity and sleep disturbance in AD. However, the mechanistic connections between SCN dysfunction, GABA modulation, and inflammation in AD is not fully understood. OBJECTIVE To reveal influences of amyloid pathology in Tg2576 mouse brain on metabolism in SCN and to identify key metabolic sensors that couple SCN dysfunction with GABA modulation and inflammation. METHODS High resolution magic angle spinning (HR-MAS) NMR in conjunction with multivariate analysis was applied for metabolic profiling in SCN of control and Tg2576 female mice. Immunohistochemical analysis was used to detect neurons, astrocytes, expression of GABA transporter 1 (GAT1) and Bmal1. RESULTS Metabolic profiling revealed significant metabolic deficits in SCN of Tg2576 mice. Reductions in glucose, glutamate, GABA, and glutamine provide hints toward an impaired GABAergic glucose oxidation and neurotransmitter cycling in SCN of AD mice. In addition, decreased redox co-factor NADPH and glutathione support a redox disbalance. Immunohistochemical examinations showed low expression of the core clock protein, Bmal1, especially in activated astrocytes. Moreover, decreased expression of GAT1 in astrocytes indicates low GABA recycling in this cell type. CONCLUSION Our results suggest that redox disbalance and compromised GABA signaling are important denominators and connectors between neuroinflammation and clock dysfunction in AD.
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Affiliation(s)
- Muhamed N.H. Eeza
- Institute of Medical Physics and Biophysics, University of Leipzig, Leipzig, Germany
- Institute of Analytical Chemistry, University of Leipzig, Leipzig, Germany
| | - Rico Singer
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Corinna Höfling
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Jörg Matysik
- Institute of Analytical Chemistry, University of Leipzig, Leipzig, Germany
| | - Huub J.M. de Groot
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Steffen Roβner
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - A. Alia
- Institute of Medical Physics and Biophysics, University of Leipzig, Leipzig, Germany
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
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Prebihalo SE, Ochoa GS, Berrier KL, Skogerboe KJ, Cameron KL, Trump JR, Svoboda SJ, Wickiser JK, Synovec RE. Control-Normalized Fisher Ratio Analysis of Comprehensive Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry Data for Enhanced Biomarker Discovery in a Metabolomic Study of Orthopedic Knee-Ligament Injury. Anal Chem 2020; 92:15526-15533. [PMID: 33171046 DOI: 10.1021/acs.analchem.0c03456] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Sarah E. Prebihalo
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195, United States
| | - Grant S. Ochoa
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195, United States
| | - Kelsey L. Berrier
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195, United States
| | - Kristen J. Skogerboe
- Department of Chemistry, Seattle University, Seattle, Washington 98122, United States
| | - Kenneth L. Cameron
- Keller Army Community Hospital, West Point, New York 10996, United States
| | - Jesse R. Trump
- Keller Army Community Hospital, West Point, New York 10996, United States
| | - Steven J. Svoboda
- Keller Army Community Hospital, West Point, New York 10996, United States
| | | | - Robert E. Synovec
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195, United States
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Daly R, Blackburn G, Best C, Goodyear CS, Mudaliar M, Burgess K, Stirling A, Porter D, McInnes IB, Barrett MP, Dale J. Changes in Plasma Itaconate Elevation in Early Rheumatoid Arthritis Patients Elucidates Disease Activity Associated Macrophage Activation. Metabolites 2020; 10:metabo10060241. [PMID: 32531990 PMCID: PMC7344783 DOI: 10.3390/metabo10060241] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/05/2020] [Accepted: 06/07/2020] [Indexed: 12/29/2022] Open
Abstract
Changes in the plasma metabolic profile were characterised in newly diagnosed rheumatoid arthritis (RA) patients upon commencement of conventional disease-modifying anti-rheumatic drug (cDMARD) therapy. Plasma samples collected in an early RA randomised strategy study (NCT00920478) that compared clinical (DAS) disease activity assessment with musculoskeletal ultrasound assessment (MSUS) to drive treatment decisions were subjected to untargeted metabolomic analysis. Metabolic profiles were collected at pre- and three months post-commencement of nonbiologic cDMARD. Metabolites that changed in association with changes in the DAS44 score were identified at the three-month timepoint. A total of nine metabolites exhibited a clear correlation with a reduction in DAS44 score following cDMARD commencement, particularly itaconate, its derived anhydride and a derivative of itaconate CoA. Increasing itaconate correlated with improved DAS44 score and decreasing levels of C-reactive protein (CRP). cDMARD treatment effects invoke consistent changes in plasma detectable metabolites, that in turn implicate clinical disease activity with macrophages. Such changes inform RA pathogenesis and reveal for the first time a link between itaconate production and resolution of inflammatory disease in humans. Quantitative metabolic biomarker-based tests of clinical change in state are feasible and should be developed around the itaconate pathway.
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Affiliation(s)
- Rónán Daly
- Glasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK; (R.D.); (G.B.); (M.M.); (K.B.); (M.P.B.)
| | - Gavin Blackburn
- Glasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK; (R.D.); (G.B.); (M.M.); (K.B.); (M.P.B.)
| | - Cameron Best
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
| | - Carl S. Goodyear
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
| | - Manikhandan Mudaliar
- Glasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK; (R.D.); (G.B.); (M.M.); (K.B.); (M.P.B.)
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
- Institute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Bearsden Road, Glasgow G61 1QH, UK
| | - Karl Burgess
- Glasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK; (R.D.); (G.B.); (M.M.); (K.B.); (M.P.B.)
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
- Institute of Quantitative Biology, Biochemistry and Biotechnology, The University of Edinburgh, Edinburgh EH9 3FF, UK
| | - Anne Stirling
- Department of Rheumatology, Gartnavel General Hospital, Glasgow G12 0YN, UK;
| | - Duncan Porter
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
- Department of Rheumatology, Gartnavel General Hospital, Glasgow G12 0YN, UK;
| | - Iain B. McInnes
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
| | - Michael P. Barrett
- Glasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK; (R.D.); (G.B.); (M.M.); (K.B.); (M.P.B.)
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
| | - James Dale
- Institute of Infection, Immunity and Inflammation, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK; (C.B.); (C.S.G.); (D.P.); (I.B.M.)
- Department of Rheumatology, Wishaw General Hospital, 50 Netherton Street, Wishaw, North Lanarkshire ML2 0DP, UK
- Correspondence:
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Lindqvist HM, Gjertsson I, Andersson S, Calder PC, Bärebring L. Influence of blue mussel (Mytilus edulis) intake on fatty acid composition in erythrocytes and plasma phospholipids and serum metabolites in women with rheumatoid arthritis. Prostaglandins Leukot Essent Fatty Acids 2019; 150:7-15. [PMID: 31491682 DOI: 10.1016/j.plefa.2019.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 08/21/2019] [Accepted: 08/23/2019] [Indexed: 10/26/2022]
Abstract
Intake of blue mussels decreased disease activity in women with rheumatoid arthritis (RA) in the randomized cross-over MIRA (Mussels, inflammation and RA) trial. This study investigates potential causes of the decreased disease activity by analysing fatty acid composition in erythrocytes and plasma phospholipids and serum metabolites in samples from the participants of the MIRA trial. Twenty-three women completed the randomized 2 × 11-week cross-over dietary intervention, exchanging one cooked meal per day, 5 days a week, with a meal including 75 g blue mussels or 75 g meat. Fatty acid composition in erythrocytes and plasma and 1H Nuclear Magnetic Resonance (1H NMR) metabolomics data were analysed with multivariate data analysis. Orthogonal Projections to Latent Structures with Discriminant Analysis (OPLS-DA) and OPLS with effect projections (OPLS-EP) were performed to compare the two diets. The fatty acid profile in erythrocytes was different after intake of blue mussels compared to the control diet, and all samples were correctly classified to either the blue mussel diet or control diet. Changes following blue mussel intake included significant increases in omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) at the group level but not for all individuals. The fatty acid profile in plasma phospholipids and 1H NMR serum metabolites did not differ significantly between the diets. To conclude, modelling fatty acids in erythrocytes may be a better biomarker for seafood intake than only EPA and DHA content. The change in fatty acid pattern in erythrocytes could be related to reduction in disease activity, although it cannot be excluded that other factors than omega-3 fatty acids potentiate the effect.
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Affiliation(s)
- Helen M Lindqvist
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
| | - Sofia Andersson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
| | - Philip C Calder
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, United Kingdom; NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, United Kingdom.
| | - Linnea Bärebring
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
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Tzoulaki I, Castagné R, Boulangé CL, Karaman I, Chekmeneva E, Evangelou E, Ebbels TMD, Kaluarachchi MR, Chadeau-Hyam M, Mosen D, Dehghan A, Moayyeri A, Ferreira DLS, Guo X, Rotter JI, Taylor KD, Kavousi M, de Vries PS, Lehne B, Loh M, Hofman A, Nicholson JK, Chambers J, Gieger C, Holmes E, Tracy R, Kooner J, Greenland P, Franco OH, Herrington D, Lindon JC, Elliott P. Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease. Eur Heart J 2019; 40:2883-2896. [PMID: 31102408 PMCID: PMC7963131 DOI: 10.1093/eurheartj/ehz235] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/21/2018] [Accepted: 05/13/2019] [Indexed: 12/31/2022] Open
Abstract
AIMS To characterize serum metabolic signatures associated with atherosclerosis in the coronary or carotid arteries and subsequently their association with incident cardiovascular disease (CVD). METHODS AND RESULTS We used untargeted one-dimensional (1D) serum metabolic profiling by proton nuclear magnetic resonance spectroscopy (1H NMR) among 3867 participants from the Multi-Ethnic Study of Atherosclerosis (MESA), with replication among 3569 participants from the Rotterdam and LOLIPOP studies. Atherosclerosis was assessed by coronary artery calcium (CAC) and carotid intima-media thickness (IMT). We used multivariable linear regression to evaluate associations between NMR features and atherosclerosis accounting for multiplicity of comparisons. We then examined associations between metabolites associated with atherosclerosis and incident CVD available in MESA and Rotterdam and explored molecular networks through bioinformatics analyses. Overall, 30 1H NMR measured metabolites were associated with CAC and/or IMT, P = 1.3 × 10-14 to 1.0 × 10-6 (discovery) and P = 5.6 × 10-10 to 1.1 × 10-2 (replication). These associations were substantially attenuated after adjustment for conventional cardiovascular risk factors. Metabolites associated with atherosclerosis revealed disturbances in lipid and carbohydrate metabolism, branched chain, and aromatic amino acid metabolism, as well as oxidative stress and inflammatory pathways. Analyses of incident CVD events showed inverse associations with creatine, creatinine, and phenylalanine, and direct associations with mannose, acetaminophen-glucuronide, and lactate as well as apolipoprotein B (P < 0.05). CONCLUSION Metabolites associated with atherosclerosis were largely consistent between the two vascular beds (coronary and carotid arteries) and predominantly tag pathways that overlap with the known cardiovascular risk factors. We present an integrated systems network that highlights a series of inter-connected pathways underlying atherosclerosis.
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Affiliation(s)
- Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, University Campus Road 455 00, Ioannina, Greece
- Dementia Research Institute, Imperial College London, Norfolk Place, London, UK
| | - Raphaële Castagné
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- LEASP, UMR 1027, Inserm-Université Toulousse III Paul Sabatier, Toulousse, France
| | - Claire L Boulangé
- Metabometrix Ltd, Imperial Incubator, Bessemer Building, Prince Consort Road, London, UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Dementia Research Institute, Imperial College London, Norfolk Place, London, UK
| | - Elena Chekmeneva
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, University Campus Road 455 00, Ioannina, Greece
| | - Timothy M D Ebbels
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Manuja R Kaluarachchi
- Metabometrix Ltd, Imperial Incubator, Bessemer Building, Prince Consort Road, London, UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - David Mosen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Dementia Research Institute, Imperial College London, Norfolk Place, London, UK
| | - Alireza Moayyeri
- Farr Institute of Health Informatics Research, University College London Institute of Health Informatics, 222 Euston Road, London, UK
| | - Diana L Santos Ferreira
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfiled Grove, Bristol, UK
| | - Xiuqing Guo
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
- Department of Medicine, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
| | - Jerome I Rotter
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
- Department of Medicine, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
| | - Kent D Taylor
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
- Department of Medicine, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, University Medical Center Rotterdam, CA Rotterdam, the Netherlands
| | - Paul S de Vries
- Department of Epidemiology, Erasmus University Medical Center, University Medical Center Rotterdam, CA Rotterdam, the Netherlands
- Department of Epidemiology, Human Genetics, and Environmental Sciences, Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - Marie Loh
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, University Medical Center Rotterdam, CA Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Jeremy K Nicholson
- Metabometrix Ltd, Imperial Incubator, Bessemer Building, Prince Consort Road, London, UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - John Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- London North West Healthcare NHS Trust, Northwick Park Hospital, Watford Rd, Harrow, UK
| | - Christian Gieger
- German Research Centre for Environmental Health, Helmholtz Zentrum München, Ingolstädter Landstraße 1, D Neuherberg, Germany
| | - Elaine Holmes
- Metabometrix Ltd, Imperial Incubator, Bessemer Building, Prince Consort Road, London, UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Russell Tracy
- M.D. College of Medicine University of Vermont, The Robert Larner, Given Medical Bldg, E-126, 89 Beaumont Ave, Burlington, VT, USA
| | - Jaspal Kooner
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
- National Heart & Lung Institute, Faculty of Medicine, Imperial College London, Guy Scadding Building, Dovehouse St, Chelsea, London, UK
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, 680 North Lake Shore Drive, Suite, 1400, Chicago, IL, USA
| | - Oscar H Franco
- Department of Medicine, Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1000 W Carson St, Torrance, CA, USA
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, Bern, Switzerland
| | - David Herrington
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
| | - John C Lindon
- Metabometrix Ltd, Imperial Incubator, Bessemer Building, Prince Consort Road, London, UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, South Kensington Campus, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Dementia Research Institute, Imperial College London, Norfolk Place, London, UK
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10
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Ahn JK, Kim J, Hwang J, Song J, Kim KH, Cha HS. Potential metabolomic biomarkers for reliable diagnosis of Behcet's disease using gas chromatography/ time-of-flight-mass spectrometry. Joint Bone Spine 2017; 85:337-343. [PMID: 28549946 DOI: 10.1016/j.jbspin.2017.05.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 05/17/2017] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Although many diagnostic criteria of Behcet's disease (BD) have been developed and revised by experts, diagnosing BD is still complicated and challenging. No metabolomic studies on serum have been attempted to improve the diagnosis and to identify potential biomarkers of BD. The purposes of this study were to investigate distinctive metabolic changes in serum samples of BD patients and to identify metabolic candidate biomarkers for reliable diagnosis of BD using the metabolomics platform. METHODS Metabolomic profiling of 90 serum samples from 45 BD patients and 45 healthy controls (HCs) were performed via gas chromatography with time-of-flight mass spectrometry (GC/TOF-MS) with multivariate statistical analyses. RESULTS A total of 104 metabolites were identified from samples. The serum metabolite profiles obtained from GC/TOF-MS analysis can distinguish BD patients from HC group in discovery set. The variation values of the partial least squared-discrimination analysis (PLS-DA) model are R2X of 0.246, R2Y of 0.913 and Q2 of 0.852, respectively, indicating strong explanation and prediction capabilities of the model. A panel of five metabolic biomarkers, namely, decanoic acid, fructose, tagatose, linoleic acid and oleic acid were selected and adequately validated as putative biomarkers of BD (sensitivity 100%, specificity 97.1%, area under the curve 0.998) in the discovery set and independent set. The PLS_DA model showed clear discrimination of BD and HC groups by the five metabolic biomarkers in independent set. CONCLUSIONS This is the first report on characteristic metabolic profiles and potential metabolite biomarkers in serum for reliable diagnosis of BD using GC/TOF-MS.
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Affiliation(s)
- Joong Kyong Ahn
- Division of Rheumatology, Department of Internal medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 03181 Seoul, Republic of Korea
| | - Jungyeon Kim
- Department of Biotechnology, Graduate School, Korea University, 02841 Seoul, Republic of Korea
| | - Jiwon Hwang
- Department of Internal medicine, National Police Hospital, 05715 Seoul, Republic of Korea
| | - Juhwan Song
- Department of Biotechnology, Graduate School, Korea University, 02841 Seoul, Republic of Korea
| | - Kyoung Heon Kim
- Department of Biotechnology, Graduate School, Korea University, 02841 Seoul, Republic of Korea.
| | - Hoon-Suk Cha
- Division of Rheumatology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 06351 Seoul, Republic of Korea.
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11
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McClenathan BM, Stewart DA, Spooner CE, Pathmasiri WW, Burgess JP, McRitchie SL, Choi YS, Sumner SCJ. Metabolites as biomarkers of adverse reactions following vaccination: A pilot study using nuclear magnetic resonance metabolomics. Vaccine 2017; 35:1238-1245. [PMID: 28169076 DOI: 10.1016/j.vaccine.2017.01.056] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 01/23/2017] [Accepted: 01/24/2017] [Indexed: 12/24/2022]
Abstract
An Adverse Event Following Immunization (AEFI) is an adverse reaction to a vaccination that goes above and beyond the usual side effects associated with vaccinations. One serious AEFI related to the smallpox vaccine is myopericarditis. Metabolomics involves the study of the low molecular weight metabolite profile of cells, tissues, and biological fluids, and provides a functional readout of the phenotype. Metabolomics may help identify a particular metabolic signature in serum of subjects who are predisposed to developing AEFIs. The goal of this study was to identify metabolic markers that may predict the development of adverse events following smallpox vaccination. Serum samples were collected from military personnel prior to and following receipt of smallpox vaccine. The study population included five subjects who were clinically diagnosed with myopericarditis, 30 subjects with asymptomatic elevation of troponins, and 31 subjects with systemic symptoms following immunization, and 34 subjects with no AEFI, serving as controls. Two-hundred pre- and post-smallpox vaccination sera were analyzed by untargeted metabolomics using 1H nuclear magnetic resonance (NMR) spectroscopy. Baseline (pre-) and post-vaccination samples from individuals who experienced clinically verified myocarditis or asymptomatic elevation of troponins were more metabolically distinguishable pre- and post-vaccination compared to individuals who only experienced systemic symptoms, or controls. Metabolomics profiles pre- and post-receipt of vaccine differed substantially when an AEFI resulted. This study is the first to describe pre- and post-vaccination metabolic profiles of subjects who developed an adverse event following immunization. The study demonstrates the promise of metabolites for determining mechanisms associated with subjects who develop AEFI and the potential to develop predictive biomarkers.
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Affiliation(s)
- Bruce M McClenathan
- Defense Health Agency-Immunization Healthcare Branch Regional Office, Building 1-2532 Armistead Street, Fort Bragg, NC 28310, USA; Womack Army Medical Center, 2817 Reilly Road, Fort Bragg, NC 28310, USA.
| | - Delisha A Stewart
- NIH Common Fund Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.
| | - Christina E Spooner
- Defense Health Agency-Immunization Healthcare Branch, 7700 Arlington Boulevard, Falls Church, VA 22042, USA.
| | - Wimal W Pathmasiri
- NIH Common Fund Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.
| | - Jason P Burgess
- NIH Common Fund Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.
| | - Susan L McRitchie
- NIH Common Fund Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.
| | - Y Sammy Choi
- Womack Army Medical Center, 2817 Reilly Road, Fort Bragg, NC 28310, USA.
| | - Susan C J Sumner
- NIH Common Fund Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Road, Research Triangle Park, NC 27709, USA.
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