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Insight into Lotusine and Puerarin in Repairing Alcohol-Induced Metabolic Disorder Based on UPLC-MS/MS. Int J Mol Sci 2022; 23:ijms231810385. [PMID: 36142292 PMCID: PMC9499505 DOI: 10.3390/ijms231810385] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/03/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
Alcohol is an essential element in human culture. However, alcoholism has contributed to numerous health issues, including alcoholic fatty liver and sudden death. We found that the alkaloid lotusine possessed hepato- and neuroprotection against alcohol injuries. Lotusine showed comparable protective effects to puerarin, a widely recognized antagonist against alcohol damage. To better understand the metabolic response to alcohol injury and antagonist molecules, we applied sensitive zebrafish and LC-ESI-MS to collect metabolites related to alcohol, puerarin and lotusine exposure. LC-MS identified 119 metabolites with important physiological roles. Differential metabolomic analysis showed that alcohol caused abnormal expression of 82 metabolites (60 up-regulated and 22 down-regulated). These differential metabolites involved 18 metabolic pathways and modules, including apoptosis, necroptosis, nucleotide and fatty acid metabolism. Puerarin reversed seven metabolite variations induced by alcohol, which were related to necroptosis and sphingolipid metabolism. Lotusine was found to repair five metabolites disorders invoked by alcohol, mainly through nucleotide metabolism and glutathione metabolism. In phenotypic bioassay, lotusine showed similar activities to puerarin in alleviating behavioral abnormalities, neuroapoptosis and hepatic lipid accumulation induced by alcohol exposure. Our findings provided a new antagonist, lotusine, for alcohol-induced damage and explored the roles in repairing abnormal metabolism.
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Rothwell JA, Murphy N, Bešević J, Kliemann N, Jenab M, Ferrari P, Achaintre D, Gicquiau A, Vozar B, Scalbert A, Huybrechts I, Freisling H, Prehn C, Adamski J, Cross AJ, Pala VM, Boutron-Ruault MC, Dahm CC, Overvad K, Gram IT, Sandanger TM, Skeie G, Jakszyn P, Tsilidis KK, Aleksandrova K, Schulze MB, Hughes DJ, van Guelpen B, Bodén S, Sánchez MJ, Schmidt JA, Katzke V, Kühn T, Colorado-Yohar S, Tumino R, Bueno-de-Mesquita B, Vineis P, Masala G, Panico S, Eriksen AK, Tjønneland A, Aune D, Weiderpass E, Severi G, Chajès V, Gunter MJ. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort. Clin Gastroenterol Hepatol 2022; 20:e1061-e1082. [PMID: 33279777 PMCID: PMC9049188 DOI: 10.1016/j.cgh.2020.11.045] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND & AIMS Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression. RESULTS Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants. CONCLUSIONS Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer.
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Affiliation(s)
- Joseph A Rothwell
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France; International Agency for Research on Cancer, Lyon, France.
| | - Neil Murphy
- International Agency for Research on Cancer, Lyon, France
| | - Jelena Bešević
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | | | | | - Béatrice Vozar
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Cornelia Prehn
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Jerzy Adamski
- Research Unit, Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Neuherberg, Germany
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Valeria Maria Pala
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marie-Christine Boutron-Ruault
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Aarhus C, Denmark
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus C, Denmark
| | - Inger Torhild Gram
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain; Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Matthias B Schulze
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - David J Hughes
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umea University, Umea, Sweden
| | - Stina Bodén
- Department of Radiation Sciences, Oncology Unit, Umea University, Umea, Sweden
| | - Maria-José Sánchez
- CIBER Epidemiología y Salud Pública, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Verena Katzke
- Division of Cancer Epidemiology, Deutsches Krebsforschungszentrum, Stiftung des Öffentlichen Rechts, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, Deutsches Krebsforschungszentrum, Stiftung des Öffentlichen Rechts, Heidelberg, Germany
| | - Sandra Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigatión Biomédica (IMIB)-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública, Spain; Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority, Ragusa, Italy
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, BA Bilthoven, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Italian Institute of Technology, Genova, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Anne Kirstine Eriksen
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Genes and Environment, Copenhagen, Denmark
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Nutrition, Bjørknes University College, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Gianluca Severi
- Centre for Epidemiology and Population Health, U1018, Generations and Health Team, Faculté de Médecine, Université Paris-Saclay, INSERM, Villejuif, France; Gustave Roussy, Villejuif, France
| | | | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
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Zhu X, Huang J, Huang S, Wen Y, Lan X, Wang X, Lu C, Wang Z, Fan N, Shang D. Combining Metabolomics and Interpretable Machine Learning to Reveal Plasma Metabolic Profiling and Biological Correlates of Alcohol-Dependent Inpatients: What About Tryptophan Metabolism Regulation? Front Mol Biosci 2021; 8:760669. [PMID: 34859050 PMCID: PMC8630631 DOI: 10.3389/fmolb.2021.760669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Alcohol dependence (AD) is a condition of alcohol use disorder in which the drinkers frequently develop emotional symptoms associated with a continuous alcohol intake. AD characterized by metabolic disturbances can be quantitatively analyzed by metabolomics to identify the alterations in metabolic pathways. This study aimed to: i) compare the plasma metabolic profiling between healthy and AD-diagnosed individuals to reveal the altered metabolic profiles in AD, and ii) identify potential biological correlates of alcohol-dependent inpatients based on metabolomics and interpretable machine learning. Plasma samples were obtained from healthy (n = 42) and AD-diagnosed individuals (n = 43). The plasma metabolic differences between them were investigated using liquid chromatography-tandem mass spectrometry (AB SCIEX® QTRAP 4500 system) in different electrospray ionization modes with scheduled multiple reaction monitoring scans. In total, 59 and 52 compounds were semi-quantitatively measured in positive and negative ionization modes, respectively. In addition, 39 metabolites were identified as important variables to contribute to the classifications using an orthogonal partial least squares-discriminant analysis (OPLS-DA) (VIP > 1) and also significantly different between healthy and AD-diagnosed individuals using univariate analysis (p-value < 0.05 and false discovery rate < 0.05). Among the identified metabolites, indole-3-carboxylic acid, quinolinic acid, hydroxy-tryptophan, and serotonin were involved in the tryptophan metabolism along the indole, kynurenine, and serotonin pathways. Metabolic pathway analysis revealed significant changes or imbalances in alanine, aspartate, glutamate metabolism, which was possibly the main altered pathway related to AD. Tryptophan metabolism interactively influenced other metabolic pathways, such as nicotinate and nicotinamide metabolism. Furthermore, among the OPLS-DA-identified metabolites, normetanephrine and ascorbic acid were demonstrated as suitable biological correlates of AD inpatients from our model using an interpretable, supervised decision tree classifier algorithm. These findings indicate that the discriminatory metabolic profiles between healthy and AD-diagnosed individuals may benefit researchers in illustrating the underlying molecular mechanisms of AD. This study also highlights the approach of combining metabolomics and interpretable machine learning as a valuable tool to uncover potential biological correlates. Future studies should focus on the global analysis of the possible roles of these differential metabolites and disordered metabolic pathways in the pathophysiology of AD.
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Affiliation(s)
- Xiuqing Zhu
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jiaxin Huang
- Department of Substance Dependence, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Shanqing Huang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yuguan Wen
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Xiaochang Lan
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,Department of Substance Dependence, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Xipei Wang
- Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chuanli Lu
- Guangzhou Rely Medical Diagnostic Technology Co. Ltd., Guangzhou, China
| | - Zhanzhang Wang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Ni Fan
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,Department of Substance Dependence, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Dewei Shang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
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Kärkkäinen O, Farokhnia M, Klåvus A, Auriola S, Lehtonen M, Deschaine SL, Piacentino D, Abshire KM, Jackson SN, Leggio L. Effect of intravenous ghrelin administration, combined with alcohol, on circulating metabolome in heavy drinking individuals with alcohol use disorder. Alcohol Clin Exp Res 2021; 45:2207-2216. [PMID: 34590334 PMCID: PMC8642277 DOI: 10.1111/acer.14719] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/30/2021] [Accepted: 09/14/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Ghrelin may influence several alcohol-related behaviors in animals and humans by modulating central and/or peripheral biological pathways. The aim of this exploratory analysis was to investigate associations between ghrelin administration and the human circulating metabolome during alcohol exposure in nontreatment seeking, heavy drinking individuals with alcohol use disorder (AUD). METHODS We used serum samples from a randomized, crossover, double-blind, placebo-controlled human laboratory study with intravenous (IV) ghrelin or placebo infusion in two experiments. During each session, participants received a loading dose (3 µg/kg) followed by continuous infusion (16.9 ng/kg/min) of acyl ghrelin or placebo. The first experiment included an IV alcohol self-administration (IV-ASA) session and the second experiment included an IV alcohol clamp (IV-AC) session, both with the counterbalanced infusion of ghrelin or placebo. Serum metabolite profiles were analyzed from repeated blood samples collected during each session. RESULTS In both experiments, ghrelin infusion was associated with an altered serum metabolite profile, including significantly increased levels of cortisol (IV-ASA q-value = 0.0003 and IV-AC q < 0.0001), corticosterone (IV-ASA q = 0.0202 and IV-AC q < 0.0001), and glycochenodeoxycholic acid (IV-ASA q = 0.0375 and IV-AC q = 0.0013). In the IV-ASA experiment, ghrelin infusion increased levels of cortisone (q = 0.0352) and fatty acids 18:1 (q = 0.0406) and 18:3 (q = 0.0320). Moreover, in the IV-AC experiment, ghrelin infusion significantly increased levels of glycocholic acid (q < 0.0001) and phenylalanine (q = 0.0458). CONCLUSION IV ghrelin infusion, combined with IV alcohol administration, was associated with increases in the circulating metabolite levels of corticosteroids and glycine-conjugated bile acids, among other changes. Further research is needed to understand the role that metabolomic changes play in the complex interaction between ghrelin and alcohol.
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Affiliation(s)
- Olli Kärkkäinen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
| | - Mehdi Farokhnia
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, Baltimore and Bethesda, Maryland, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Anton Klåvus
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
| | - Seppo Auriola
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
| | - Marko Lehtonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
| | - Sara L. Deschaine
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, Baltimore and Bethesda, Maryland, USA
| | - Daria Piacentino
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, Baltimore and Bethesda, Maryland, USA
- Center on Compulsive Behaviors, National Institutes of Health, Bethesda, MD, USA
| | - Kelly M. Abshire
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, Baltimore and Bethesda, Maryland, USA
| | - Shelley N. Jackson
- Translational Analytical Core, National Institute on Drug Abuse Intramural Research Program, Baltimore, Maryland, USA
| | - Lorenzo Leggio
- Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, Baltimore and Bethesda, Maryland, USA
- Center on Compulsive Behaviors, National Institutes of Health, Bethesda, MD, USA
- Translational Analytical Core, National Institute on Drug Abuse Intramural Research Program, Baltimore, Maryland, USA
- Medication Development Program, National Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
- Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, RI, USA
- Division of Addiction Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, USA
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Jobard E, Dossus L, Baglietto L, Fornili M, Lécuyer L, Mancini FR, Gunter MJ, Trédan O, Boutron-Ruault MC, Elena-Herrmann B, Severi G, Rothwell JA. Investigation of circulating metabolites associated with breast cancer risk by untargeted metabolomics: a case-control study nested within the French E3N cohort. Br J Cancer 2021; 124:1734-1743. [PMID: 33723391 PMCID: PMC8110540 DOI: 10.1038/s41416-021-01304-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Perturbations in circulating metabolites prior to a breast cancer diagnosis are not well characterised. We aimed to gain more detailed knowledge to help understand and prevent the disease. METHODS Baseline plasma samples from 791 breast cancer cases and 791 matched controls from the E3N (EPIC-France) cohort were profiled by nuclear magnetic resonance (NMR)-based untargeted metabolomics. Partial least-squares discriminant analysis (PLS-DA) models were built from NMR profiles to predict disease outcome, and odds ratios and false discovery rate (FDR)-adjusted CIs were calculated for 43 identified metabolites by conditional logistic regression. RESULTS Breast cancer onset was predicted in the premenopausal subgroup with modest accuracy (AUC 0.61, 95% CI: 0.49-0.73), and 10 metabolites associated with risk, particularly histidine (OR = 1.70 per SD increase, FDR-adjusted CI 1.19-2.41), N-acetyl glycoproteins (OR = 1.53, FDR-adjusted CI 1.18-1.97), glycerol (OR = 1.55, FDR-adjusted CI 1.11-2.18) and ethanol (OR = 1.44, FDR-adjusted CI 1.05-1.97). No predictive capacity or significant metabolites were found overall or for postmenopausal women. CONCLUSIONS Perturbed metabolism compared to controls was observed in premenopausal but not postmenopausal cases. Histidine and NAC have known involvement in inflammatory pathways, and the robust association of ethanol with risk suggests the involvement of alcohol intake.
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Affiliation(s)
- Elodie Jobard
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, Villeurbanne, France
- Université de Lyon, Centre Léon Bérard, Département d'Oncologie Médicale, Lyon, France
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Marco Fornili
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Lucie Lécuyer
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, Exposome and Heredity Team, Centre for Epidemiology and Population Health, Villejuif, France
| | - Francesca Romana Mancini
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, Exposome and Heredity Team, Centre for Epidemiology and Population Health, Villejuif, France
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Olivier Trédan
- Université de Lyon, Centre Léon Bérard, Département d'Oncologie Médicale, Lyon, France
| | - Marie-Christine Boutron-Ruault
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, Exposome and Heredity Team, Centre for Epidemiology and Population Health, Villejuif, France
| | - Bénédicte Elena-Herrmann
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, Villeurbanne, France
- Univ Grenoble Alpes, CNRS, INSERM, IAB, Allée des Alpes, Grenoble, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, Exposome and Heredity Team, Centre for Epidemiology and Population Health, Villejuif, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Firenze, Italy
| | - Joseph A Rothwell
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, Exposome and Heredity Team, Centre for Epidemiology and Population Health, Villejuif, France.
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Wu D, Carillo KJ, Shie JJ, Yu SSF, Tzou DLM. Resolving Entangled JH-H-Coupling Patterns for Steroidal Structure Determinations by NMR Spectroscopy. Molecules 2021; 26:molecules26092643. [PMID: 33946512 PMCID: PMC8124291 DOI: 10.3390/molecules26092643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 04/28/2021] [Accepted: 04/29/2021] [Indexed: 11/16/2022] Open
Abstract
For decades, high-resolution 1H NMR spectroscopy has been routinely utilized to analyze both naturally occurring steroid hormones and synthetic steroids, which play important roles in regulating physiological functions in humans. Because the 1H signals are inevitably superimposed and entangled with various JH–H splitting patterns, such that the individual 1H chemical shift and associated JH–H coupling identities are hardly resolved. Given this, applications of thess information for elucidating steroidal molecular structures and steroid/ligand interactions at the atomic level were largely restricted. To overcome, we devoted to unraveling the entangled JH–H splitting patterns of two similar steroidal compounds having fully unsaturated protons, i.e., androstanolone and epiandrosterone (denoted as 1 and 2, respectively), in which only hydroxyl and ketone substituents attached to C3 and C17 were interchanged. Here we demonstrated that the JH–H values deduced from 1 and 2 are universal and applicable to other steroids, such as testosterone, 3β, 21-dihydroxygregna-5-en-20-one, prednisolone, and estradiol. On the other hand, the 1H chemical shifts may deviate substantially from sample to sample. In this communication, we propose a simple but novel scheme for resolving the complicate JH–H splitting patterns and 1H chemical shifts, aiming for steroidal structure determinations.
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Affiliation(s)
- Danni Wu
- Institute of Chemistry, Academia Sinica, Nankang, Taipei 11529, Taiwan; (D.W.); (K.J.C.); (J.-J.S.); (S.S.-F.Y.)
| | - Kathleen Joyce Carillo
- Institute of Chemistry, Academia Sinica, Nankang, Taipei 11529, Taiwan; (D.W.); (K.J.C.); (J.-J.S.); (S.S.-F.Y.)
- International Graduate Program, SCST, Academia Sinica, Nankang, Taipei 11529, Taiwan
- The Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu 30013, Taiwan
| | - Jiun-Jie Shie
- Institute of Chemistry, Academia Sinica, Nankang, Taipei 11529, Taiwan; (D.W.); (K.J.C.); (J.-J.S.); (S.S.-F.Y.)
| | - Steve S.-F. Yu
- Institute of Chemistry, Academia Sinica, Nankang, Taipei 11529, Taiwan; (D.W.); (K.J.C.); (J.-J.S.); (S.S.-F.Y.)
| | - Der-Lii M. Tzou
- Institute of Chemistry, Academia Sinica, Nankang, Taipei 11529, Taiwan; (D.W.); (K.J.C.); (J.-J.S.); (S.S.-F.Y.)
- Department of Applied Chemistry, National Chia-Yi University, Chia-Yi 60004, Taiwan
- Correspondence:
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Cao Z, Wang T, Xia W, Zhu B, Tian M, Zhao R, Guan D. A Pilot Metabolomic Study on Myocardial Injury Caused by Chronic Alcohol Consumption-Alcoholic Cardiomyopathy. Molecules 2021; 26:2177. [PMID: 33918931 PMCID: PMC8070378 DOI: 10.3390/molecules26082177] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 02/01/2023] Open
Abstract
Chronic alcohol consumption leads to myocardial injury, ventricle dilation, and cardiac dysfunction, which is defined as alcoholic cardiomyopathy (ACM). To explore the induced myocardial injury and underlying mechanism of ACM, the Liber-DeCarli liquid diet was used to establish an animal model of ACM and histopathology, echocardiography, molecular biology, and metabolomics were employed. Hematoxylin-eosin and Masson's trichrome staining revealed disordered myocardial structure and local fibrosis in the ACM group. Echocardiography revealed thinning wall and dilation of the left ventricle and decreased cardiac function in the ACM group, with increased serum levels of brain natriuretic peptide (BNP) and expression of myocardial BNP mRNA measured through enzyme-linked immunosorbent assay and real-time quantitative polymerase chain reaction (PCR), respectively. Through metabolomic analysis of myocardium specimens, 297 differentially expressed metabolites were identified which were involved in KEGG pathways related to the biosynthesis of unsaturated fatty acids, vitamin digestion and absorption, oxidative phosphorylation, pentose phosphate, and purine and pyrimidine metabolism. The present study demonstrated chronic alcohol consumption caused disordered cardiomyocyte structure, thinning and dilation of the left ventricle, and decreased cardiac function. Metabolomic analysis of myocardium specimens and KEGG enrichment analysis further demonstrated that several differentially expressed metabolites and pathways were involved in the ACM group, which suggests potential causes of myocardial injury due to chronic alcohol exposure and provides insight for further research elucidating the underlying mechanisms of ACM.
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Affiliation(s)
- Zhipeng Cao
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
| | - Tianqi Wang
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
| | - Wei Xia
- Department of Forensic Toxicological Analysis, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China;
| | - Baoli Zhu
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
| | - Meihui Tian
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
| | - Rui Zhao
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
| | - Dawei Guan
- Department of Forensic Pathology, School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang 110122, China; (Z.C.); (T.W.); (B.Z.); (M.T.)
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8
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Peng S, Su H, Chen T, Li X, Du J, Jiang H, Zhao M. The Potential Regulatory Network of Glutamate Metabolic Pathway Disturbance in Chinese Han Withdrawal Methamphetamine Abusers. Front Genet 2021; 12:653443. [PMID: 33833781 PMCID: PMC8021790 DOI: 10.3389/fgene.2021.653443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/01/2021] [Indexed: 12/15/2022] Open
Abstract
Objects To explore the long-term influence of methamphetamine abuse on metabolomics character, with gas chromatography-mass spectrometry (GS-MS) technology, and the potential regulatory network using the bioinformatics method. Methods Forty withdrawal methamphetamine abusers (WMA) were recruited from Shanghai Gaojing Forced Isolation Detoxification Institute. Forty healthy controls (HC) were recruited from society. GS-MS technology was used to detect metabolic products in serum. A bioinformatics method was used to build a regulatory network. Q-PCR was used to detect the candidate gene expressions, and ELISA was used to detect the regulatory enzyme expressions. Results Four pathways were significantly changed in the MA compared to the HC: (1) the arginine synthesis pathway, (2) alanine, aspartic acid and glutamate metabolic pathway, (3) cysteine and methionine metabolic pathway, and (4) the ascorbate and aldarate pathway (enrichment analysis p < 0.05, Impactor factor > 0.2). When focusing on the ‘Alanine, aspartate, and glutamate metabolism’ pathway, a regulatory network was established, and the expression of candidate regulatory genes and enzymes was verified. It was found that the expression of DLG2 (Discs large MAGUK scaffold protein 2), PLA2G4 (Phospholipase A2 group IVE), PDE4D (Phosphodiesterase 4D), PDE4B (Phosphodiesterase 4B), and EPHB2 (Ephrin type-B receptor 2) were significantly different between the two groups (p < 0.05), However, after adjusting for age and BMI, only DLG2, PLA2G4, and EPHB2 remained significant (p < 0.05). The expression of enzymes was not significantly different (p > 0.05). Conclusion Methamphetamine abuse influences the metabolic process in the long term, and DLG2, PLA2G4, and EPHB2 may regulate the glutamate metabolism pathway.
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Affiliation(s)
- Sufang Peng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hang Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhen Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaotong Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China
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9
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Locci E, Bazzano G, Chighine A, Locco F, Ferraro E, Demontis R, d'Aloja E. Forensic NMR metabolomics: one more arrow in the quiver. Metabolomics 2020; 16:118. [PMID: 33159593 PMCID: PMC7648736 DOI: 10.1007/s11306-020-01743-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 10/29/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION NMR metabolomics is increasingly used in forensics, due to the possibility of investigating both endogenous metabolic profiles and exogenous molecules that may help to describe metabolic patterns and their modifications associated to specific conditions of forensic interest. OBJECTIVES The aim of this work was to review the recent literature and depict the information provided by NMR metabolomics. Attention has been devoted to the identification of peculiar metabolic signatures and specific ante-mortem and post-mortem profiles or biomarkers related to different conditions of forensic concern, such as the identification of biological traces, the estimation of the time since death, and the exposure to drugs of abuse. RESULTS AND CONCLUSION The results of the described studies highlight how forensics can benefit from NMR metabolomics by gaining additional information that may help to shed light in several forensic issues that still deserve to be further elucidated.
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Affiliation(s)
- Emanuela Locci
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.
- Department of Medical Sciences and Public Health, Legal Medicine Section, University of Cagliari, Cittadella Universitaria di Monserrato, 09042, Monserrato, CA, Italy.
| | - Giovanni Bazzano
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Alberto Chighine
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Francesco Locco
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Ernesto Ferraro
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Roberto Demontis
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Ernesto d'Aloja
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
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10
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Deda O, Virgiliou C, Armitage EG, Orfanidis A, Taitzoglou I, Wilson ID, Loftus N, Gika HG. Metabolic Phenotyping Study of Mouse Brains Following Acute or Chronic Exposures to Ethanol. J Proteome Res 2020; 19:4071-4081. [PMID: 32786683 DOI: 10.1021/acs.jproteome.0c00440] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The chronic and acute effect of ethanol administration on the metabolic phenotype of mouse brain was studied in a C57BL/6 mouse model of ethanol abuse using both untargeted and targeted ultra performance liquid chromatography-tandem mass spectrometry. Two experiments based on either chronic (8 week) exposure to ethanol of both male and female mice or acute exposure of male mice for 11 days, plus 2 oral gavage doses of 25% ethanol, were undertaken. Marked differences were found in amino acids, nucleotides, nucleosides, and related metabolites as well as a number of different lipids. Using untargeted metabolite profiling, acute ethanol exposure found significant decreases in several metabolites including nucleosides, fatty acids, glycerophosphocholine, and a number of phospholipids, while chronic exposure resulted in increases in several amino acids with notable decreases in adenosine, acetylcarnitine, and galactosylceramides. Similarly, targeted metabolite analysis, focusing on the hydrophilic fraction of the brain tissue extract, identified significant decreases in the metabolism of amino acids and derivatives, as well as purine degradation especially after chronic exposure to ethanol.
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Affiliation(s)
- Olga Deda
- Laboratory of Forensic Medicine and Toxicology, Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.,Biomic_Auth, Bioanalysis and Omics Lab, Centre for Interdisciplinary Research of Aristotle University of Thessaloniki, Innovation Area of Thessaloniki, Thermi 57001, Greece
| | - Christina Virgiliou
- Biomic_Auth, Bioanalysis and Omics Lab, Centre for Interdisciplinary Research of Aristotle University of Thessaloniki, Innovation Area of Thessaloniki, Thermi 57001, Greece.,Department of Chemistry, Aristotle University, Thessaloniki 54124, Greece
| | | | - Amvrosios Orfanidis
- Laboratory of Forensic Medicine and Toxicology, Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | - Ioannis Taitzoglou
- School of Veterinary Medicine, Aristotle University, Thessaloniki 54124, Greece
| | - Ian D Wilson
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K
| | - Neil Loftus
- Shimadzu Corporation, Manchester M17 1GP, U.K
| | - Helen G Gika
- Laboratory of Forensic Medicine and Toxicology, Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.,Biomic_Auth, Bioanalysis and Omics Lab, Centre for Interdisciplinary Research of Aristotle University of Thessaloniki, Innovation Area of Thessaloniki, Thermi 57001, Greece
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11
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Pathania A, Rawat A, Dahiya SS, Dhanda S, Barnwal RP, Baishya B, Sandhir R. 1H NMR-Based Metabolic Signatures in the Liver and Brain in a Rat Model of Hepatic Encephalopathy. J Proteome Res 2020; 19:3668-3679. [PMID: 32660248 DOI: 10.1021/acs.jproteome.0c00165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Hepatic encephalopathy (HE) is a debilitating neuropsychiatric complication associated with acute and chronic liver failure. It is characterized by diverse symptoms with variable severity that includes cognitive and motor deficits. The aim of the study is to assess metabolic alterations in the brain and liver using nuclear magnetic resonance (NMR) spectroscopy and subsequent multivariate analyses to characterize metabolic signatures associated with HE. HE was developed by bile duct ligation (BDL) that resulted in hepatic dysfunctions and cirrhosis as shown by liver function tests. Metabolic profiles from control and BDL rats indicated increased levels of lactate, branched-chain amino acids (BCAAs), glutamate, and choline in the liver, whereas levels of glucose, phenylalanine, and pyridoxine were decreased. In brain, the levels of lactate, acetate, succinate, citrate, and malate were increased, while glucose, creatine, isoleucine, leucine, and proline levels were decreased. Furthermore, neurotransmitters such as glutamate and GABA were increased, whereas choline and myo-inositol were decreased. The alterations in neurotransmitter levels resulted in cognitive and motor defects in BDL rats. A significant correlation was found among alterations in NAA/choline, choline/creatine, and NAA/creatine with behavioral deficits. Thus, the data suggests impairment in metabolic pathways such as the tricarboxylic acid (TCA) cycle, glycolysis, and ketogenesis in the liver and brain of animals with HE. The study highlights that metabolic signatures could be potential markers to monitor HE progression and to assess therapeutic interventions.
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Affiliation(s)
- Anjana Pathania
- Department of Biochemistry, Basic Medical Science Block-II, Panjab University, Sector-25, Chandigarh 160014, India
| | - Atul Rawat
- Department of Surgery, IU Health Comprehensive Wound Centre, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.,Centre for Biomedical Magnetic Resonance (CBMR), SGPGIMS Campus, Lucknow, Uttar Pradesh 226014, India
| | - Sitender Singh Dahiya
- Department of Biochemistry, Basic Medical Science Block-II, Panjab University, Sector-25, Chandigarh 160014, India
| | - Saurabh Dhanda
- Department of Biochemistry, Dr. Rajendra Prasad Government Medical College, Kangra at Tanda, Himachal Pradesh 176001, India
| | | | - Bikash Baishya
- Centre for Biomedical Magnetic Resonance (CBMR), SGPGIMS Campus, Lucknow, Uttar Pradesh 226014, India
| | - Rajat Sandhir
- Department of Biochemistry, Basic Medical Science Block-II, Panjab University, Sector-25, Chandigarh 160014, India
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12
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Liu Y, Luo Y, Wang X, Luo L, Sun K, Zeng L. Gut Microbiome and Metabolome Response of Pu-erh Tea on Metabolism Disorder Induced by Chronic Alcohol Consumption. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:6615-6627. [PMID: 32419453 DOI: 10.1021/acs.jafc.0c01947] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This study investigated the protective effects of pu-erh tea extract (PTE) on alcohol-induced microbiomic and metabolomic disorders. In chronic alcohol-exposed mice, PTE ameliorated chronic alcoholic consumption-induced oxidative stress, inflammation, lipid accumulation, and liver and colon damage through modulating microbiomic and metabolomic responses. PTE restored the alcohol-induced fecal microbiota dysbiosis by elevating the relative abundance of potentially beneficial bacteria, for example, Bifidobacterium and Allobaculum, and decreasing the relative abundance of potentially harmful bacteria, for example, Helicobacter and Bacteroides. The alcohol-induced metabolomic disorder was modulated by PTE, which was characterized by regulations of lipid metabolism (sphingolipid, glycerophospholipid, and linoleic acid metabolism), amino acid metabolism (phenylalanine and tryptophan metabolism), and purine metabolism. Besides, the bacterial metabolites of phytochemicals in PTE might contribute to the protective effects of PTE. Overall, PTE could be a functional beverage to treat chronic alcohol consumption-induced microbiomic and metabolomic disorders.
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Affiliation(s)
- Yan Liu
- College of Food Science, Southwest University, Beibei, Chongqing 400715, People's Republic of China
| | - Yakun Luo
- Tea Research Institute of Puer, Puer, Yunnan 665000, People's Republic of China
| | - Xinghua Wang
- Tea Research Institute of Puer, Puer, Yunnan 665000, People's Republic of China
| | - Liyong Luo
- College of Food Science, Southwest University, Beibei, Chongqing 400715, People's Republic of China
- Tea Research Institute, Southwest University, Beibei, Chongqing 400715, People's Republic of China
| | - Kang Sun
- College of Food Science, Southwest University, Beibei, Chongqing 400715, People's Republic of China
- Tea Research Institute, Southwest University, Beibei, Chongqing 400715, People's Republic of China
| | - Liang Zeng
- College of Food Science, Southwest University, Beibei, Chongqing 400715, People's Republic of China
- Tea Research Institute, Southwest University, Beibei, Chongqing 400715, People's Republic of China
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13
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Hardikar S, Albrechtsen RD, Achaintre D, Lin T, Pauleck S, Playdon M, Holowatyj AN, Gigic B, Schrotz-King P, Boehm J, Habermann N, Brezina S, Gsur A, van Roekel EH, Weijenberg MP, Keski-Rahkonen P, Scalbert A, Ose J, Ulrich CM. Impact of Pre-blood Collection Factors on Plasma Metabolomic Profiles. Metabolites 2020; 10:E213. [PMID: 32455751 PMCID: PMC7281389 DOI: 10.3390/metabo10050213] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 12/30/2022] Open
Abstract
Demographic, lifestyle and biospecimen-related factors at the time of blood collection can influence metabolite levels in epidemiological studies. Identifying the major influences on metabolite concentrations is critical to designing appropriate sample collection protocols and considering covariate adjustment in metabolomics analyses. We examined the association of age, sex, and other short-term pre-blood collection factors (time of day, season, fasting duration, physical activity, NSAID use, smoking and alcohol consumption in the days prior to collection) with 133 targeted plasma metabolites (acylcarnitines, amino acids, biogenic amines, sphingolipids, glycerophospholipids, and hexoses) among 108 individuals that reported exposures within 48 h before collection. The differences in mean metabolite concentrations were assessed between groups based on pre-collection factors using two-sided t-tests and ANOVA with FDR correction. Percent differences in metabolite concentrations were negligible across season, time of day of collection, fasting status or lifestyle behaviors at the time of collection, including physical activity or the use of tobacco, alcohol or NSAIDs. The metabolites differed in concentration between the age and sex categories for 21.8% and 14.3% metabolites, respectively. In conclusion, extrinsic factors in the short period prior to collection were not meaningfully associated with concentrations of selected endogenous metabolites in a cross-sectional sample, though metabolite concentrations differed by age and sex. Larger studies with more coverage of the human metabolome are warranted.
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Affiliation(s)
- Sheetal Hardikar
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
- Cancer Prevention, Population Health Sciences, Fred Hutchinson Cancer Research Institute, Seattle, WA 19024, USA
| | - Richard D. Albrechtsen
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
| | - David Achaintre
- International Agency for Research on Cancer, 69372 Lyon, France; (D.A.); (P.K.-R.); (A.S.)
| | - Tengda Lin
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
| | - Svenja Pauleck
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
| | - Mary Playdon
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84108, USA
| | - Andreana N. Holowatyj
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Biljana Gigic
- Department of Surgery, University of Heidelberg, 69120 Heidelberg, Germany;
| | - Petra Schrotz-King
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (P.S.-K.); (N.H.)
| | - Juergen Boehm
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
| | - Nina Habermann
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (P.S.-K.); (N.H.)
- Genome Biology, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria; (S.B.); (A.G.)
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria; (S.B.); (A.G.)
| | - Eline H. van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, 6211 LK Maastricht, The Netherlands; (E.H.v.R.); (M.P.W.)
| | - Matty P. Weijenberg
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, 6211 LK Maastricht, The Netherlands; (E.H.v.R.); (M.P.W.)
| | - Pekka Keski-Rahkonen
- International Agency for Research on Cancer, 69372 Lyon, France; (D.A.); (P.K.-R.); (A.S.)
| | - Augustin Scalbert
- International Agency for Research on Cancer, 69372 Lyon, France; (D.A.); (P.K.-R.); (A.S.)
| | - Jennifer Ose
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
| | - Cornelia M. Ulrich
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA; (R.D.A.); (T.L.); (S.P.); (M.P.); (A.N.H.); (J.B.); (J.O.); (C.M.U.)
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
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14
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Erasmus E, Mason S, van Reenen M, Steffens FE, Vorster BC, Reinecke CJ. A laboratory approach for characterizing chronic fatigue: what does metabolomics tell us? Metabolomics 2019; 15:158. [PMID: 31776682 DOI: 10.1007/s11306-019-1620-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 11/22/2019] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Manifestations of fatigue range from chronic fatigue up to a severe syndrome and myalgic encephalomyelitis. Fatigue grossly affects the functional status and quality of life of affected individuals, prompting the World Health Organization to recognize it as a chronic non-communicable condition. OBJECTIVES Here, we explore the potential of urinary metabolite information to complement clinical criteria of fatigue, providing an avenue towards an objective measure of fatigue in patients presenting with the full spectrum of fatigue levels. METHODS The experimental group consisted of 578 chronic fatigue female patients. The measurement design was composed of (1) existing clinical fatigue scales, (2) a hepatic detoxification challenge test, and (3) untargeted proton nuclear magnetic resonance (1H-NMR) procedure to generate metabolomics data. Data analysed via an in-house Matlab script that combines functions from a Statistics and a PLS Toolbox. RESULTS Multivariate analysis of the original 459 profiled 1H-NMR bins for the low (control) and high (patient) fatigue groups indicated complete separation following the detoxification experimental challenge. Important bins identified from the 1H-NMR spectra provided quantitative metabolite information on the detoxification challenge for the fatigue groups. CONCLUSIONS Untargeted 1H-NMR metabolomics proved its applicability as a global profiling tool to reveal the impact of toxicological interventions in chronic fatigue patients. No clear potential biomarker emerged from this study, but the quantitative profile of the phase II biotransformation products provide a practical visible effect directing to up-regulation of crucial phase II enzyme systems in the high fatigue group in response to a high xenobiotic-load.
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Affiliation(s)
- Elardus Erasmus
- Centre for Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa.
| | - Shayne Mason
- Centre for Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa
| | - Mari van Reenen
- Centre for Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa
| | - Francois E Steffens
- Department of Consumer Science, University of Pretoria, Pretoria, South Africa
| | - B Chris Vorster
- Centre for Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa
| | - Carolus J Reinecke
- Centre for Human Metabolomics, Faculty of Natural and Agricultural Sciences, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa
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15
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Voutilainen T, Kärkkäinen O. Changes in the Human Metabolome Associated With Alcohol Use: A Review. Alcohol Alcohol 2019; 54:225-234. [PMID: 31087088 DOI: 10.1093/alcalc/agz030] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 03/15/2019] [Accepted: 03/20/2019] [Indexed: 12/28/2022] Open
Abstract
AIMS The metabolome refers to the functional status of the cell, organ or the whole body. Metabolomic methods measure the metabolome (metabolite profile) which can be used to examine disease progression and treatment responses. Here, our aim was to review metabolomics studies examining effects of alcohol use in humans. METHODS We performed a literature search using PubMed and Web of Science for reports on changes in the human metabolite profile associated with alcohol use; we found a total of 23 articles published before end of 2018. RESULTS Most studies had investigated plasma, serum or urine samples; only four studies had examined other sample types (liver, faeces and broncho-alveolar lavage fluid). Levels of 51 metabolites were altered in two or more of the reviewed studies. Alcohol use was associated with changes in the levels of lipids and amino acids. In general, levels of fatty acids, phosphatidylcholine diacyls and steroid metabolites tended to increase, whereas those of phosphatidylcholine acyl-alkyls and hydroxysphingomyelins declined. Common alterations in circulatory levels of amino acids included decreased levels of glutamine, and increased levels of tyrosine and alanine. CONCLUSIONS More studies, especially with a longitudinal study design, or using more varied sample materials (e.g. organs or saliva), are needed to clarify alcohol-induced diseases and alterations at a target organ level. Hopefully, this will lead to the discovery of new treatments, improved recognition of individuals at high risk and identification of those subjects who would benefit most from certain treatments.
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Affiliation(s)
- Taija Voutilainen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, Kuopio, Finland
| | - Olli Kärkkäinen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, Kuopio, Finland
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Deda O, Virgiliou C, Orfanidis A, Gika HG. Study of Fecal and Urinary Metabolite Perturbations Induced by Chronic Ethanol Treatment in Mice by UHPLC-MS/MS Targeted Profiling. Metabolites 2019; 9:E232. [PMID: 31623107 PMCID: PMC6836053 DOI: 10.3390/metabo9100232] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 10/12/2019] [Accepted: 10/13/2019] [Indexed: 02/06/2023] Open
Abstract
Alcoholic liver disease (ALD) as a consequence of ethanol chronic consumption could lead to hepatic cirrhosis that is linked to high morbidity and mortality. Disease diagnosis is still very challenging and usually clear findings are obtained in the later stage of ALD. The profound effect of ethanol on metabolism can be depicted using metabolomics; thus, the discovery of novel biomarkers could shed light on the initiation and the progression of the ALD, serving diagnostic purposes. In the present study, Hydrophilic Interaction Liquid Chromatography tandem Mass Spectrometry HILIC-MS/MS based metabolomics analyisis of urine and fecal samples of C57BL/6 mice of both sexes at two sampling time points was performed, monitoring the effect of eight-week ethanol consumption. The altered hepatic metabolism caused by ethanol consumption induces extensive biochemical perturbations and changes in gut microbiota population on a great scale. Fecal samples were proven to be a suitable specimen for studying ALD since it was more vulnerable to the metabolic changes in comparison to urine samples. The metabolome of male mice was affected on a greater scale than the female metabolome due to ethanol exposure. Precursor small molecules of essential pathways of energy production responded to ethanol exposure. A meaningful correlation between the two studied specimens demonstrated the impact of ethanol in endogenous and symbiome metabolism.
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Affiliation(s)
- Olga Deda
- Department of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
- Center for Interdisciplinary Research of the Aristotle University of Thessaloniki (KEDEK), 57001 Thessaloniki, Greece.
| | - Christina Virgiliou
- Center for Interdisciplinary Research of the Aristotle University of Thessaloniki (KEDEK), 57001 Thessaloniki, Greece.
- Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
| | - Amvrosios Orfanidis
- Department of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
- Center for Interdisciplinary Research of the Aristotle University of Thessaloniki (KEDEK), 57001 Thessaloniki, Greece.
| | - Helen G Gika
- Department of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
- Center for Interdisciplinary Research of the Aristotle University of Thessaloniki (KEDEK), 57001 Thessaloniki, Greece.
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Advances and challenges in development of precision psychiatry through clinical metabolomics on mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2019; 93:182-188. [PMID: 30904564 DOI: 10.1016/j.pnpbp.2019.03.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 02/21/2019] [Accepted: 03/20/2019] [Indexed: 01/14/2023]
Abstract
Metabolomics is defined as the study of the global metabolite profile in a system under a given set of conditions. The objective of this review is to comprehensively assess the literature on metabolomics in mood disorders and schizophrenia and provide data for mental health researchers about the challenges and potentials of metabolomics. The majority of studies in metabolomics in Psychiatry uses peripheral blood or urine. The most widely used analytical techniques in metabolomics research are nuclear magnetic resonance (NMR) and mass spectrometry (MS). They are multiparametric and provide extensive structural and conformational information on multiple chemical classes. NMR is useful in untargeted analysis, which focuses on biosignatures or 'metabolic fingerprints' of illnesses. MS targeted metabolomics approach focuses on the identification and quantification of selected metabolites known to be involved in a particular metabolic pathway. The available studies of metabolomics in Schizophrenia, Bipolar Disorder and Major Depressive Disorder suggest a potential in investigating metabolic pathways involved in these diseases' pathophysiology and response to treatment, as well as its potential in biomarkers identification.
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18
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Frederiksen SD. Promote Biomarker Discovery by Identifying Homogenous Primary Headache Subgroups. Headache 2019; 59:797-801. [DOI: 10.1111/head.13499] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2019] [Indexed: 12/11/2022]
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