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Pelle J, Castelli FA, Rudler M, Alioua I, Colsch B, Fenaille F, Junot C, Thabut D, Weiss N. Metabolomics in the understanding and management of hepatic encephalopathy. Anal Biochem 2022; 636:114477. [PMID: 34808106 DOI: 10.1016/j.ab.2021.114477] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/30/2021] [Accepted: 11/16/2021] [Indexed: 02/05/2023]
Abstract
Metabolomics refers to the study of biological components below 1000 Daltons (Da) involved in metabolic pathways as substrates, products or effectors. According to the interconnected metabolic disturbances that have been described in the pathophysiology of hepatic encephalopathy (HE), this technique appears to be well adapted to study and better delineate the disease. This review will focus on recent advances in metabolomics in the field of HE. Thus, after a brief overview of the general principles of metabolomics, we will discuss metabolomics as a potentially efficient tool for unraveling new HE pathophysiological insights, biomarkers identification, or as a predicting tool for treatment response or outcome prognosis. Finally, we will give our vision on the prospects offered by metabolomics for improving care of HE patients.
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Affiliation(s)
- Juliette Pelle
- Sorbonne Université, AP-HP.Sorbonne Université, Hôpital de la Pitié-Salpêtrière, département de neurologie, unité de Médecine Intensive Réanimation à orientation neurologique, Paris, France; Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Groupe de Recherche Clinique en REanimation et Soins intensifs du Patient en Insuffisance Respiratoire aiguE (GRC-RESPIRE) Sorbonne Université, France
| | - Florence A Castelli
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (MTS), MetaboHUB, F-91191, Gif sur Yvette, France
| | - Marika Rudler
- Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Sorbonne Université, AP-HP.Sorbonne Université, Hôpital de la Pitié-Salpêtrière, servive d'hépato-gastoentérologie, unité de soins intensifs d'hépatologie, Paris, France
| | - Imen Alioua
- Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Sorbonne Université, AP-HP.Sorbonne Université, Hôpital de la Pitié-Salpêtrière, servive d'hépato-gastoentérologie, unité de soins intensifs d'hépatologie, Paris, France
| | - Benoit Colsch
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (MTS), MetaboHUB, F-91191, Gif sur Yvette, France
| | - François Fenaille
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (MTS), MetaboHUB, F-91191, Gif sur Yvette, France
| | - Christophe Junot
- Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Dominique Thabut
- Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Sorbonne Université, AP-HP.Sorbonne Université, Hôpital de la Pitié-Salpêtrière, servive d'hépato-gastoentérologie, unité de soins intensifs d'hépatologie, Paris, France
| | - Nicolas Weiss
- Sorbonne Université, AP-HP.Sorbonne Université, Hôpital de la Pitié-Salpêtrière, département de neurologie, unité de Médecine Intensive Réanimation à orientation neurologique, Paris, France; Brain Liver Pitié-Salpêtrière (BLIPS) Study Group, INSERM UMR_S 938, Centre de recherche Saint-Antoine, Maladies métaboliques, biliaires et fibro-inflammatoire du foie, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Groupe de Recherche Clinique en REanimation et Soins intensifs du Patient en Insuffisance Respiratoire aiguE (GRC-RESPIRE) Sorbonne Université, France.
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Wang J, Westenskow PD, Fang M, Friedlander M, Siuzdak G. Quantitative metabolomics of photoreceptor degeneration and the effects of stem cell-derived retinal pigment epithelium transplantation. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2016; 374:20150376. [PMID: 27644974 PMCID: PMC5031641 DOI: 10.1098/rsta.2015.0376] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/17/2016] [Indexed: 06/06/2023]
Abstract
Photoreceptor degeneration is characteristic of vision-threatening diseases including age-related macular degeneration. Photoreceptors are metabolically demanding cells in the retina, but specific details about their metabolic behaviours are unresolved. The quantitative metabolomics of retinal degeneration could provide valuable insights and inform future therapies. Here, we determined the metabolomic 'fingerprint' of healthy and dystrophic retinas in rat models using optimized metabolite extraction techniques. A number of classes of metabolites were consistently dysregulated during degeneration: vitamin A analogues, fatty acid amides, long-chain polyunsaturated fatty acids, acyl carnitines and several phospholipid species. For the first time, a distinct temporal trend of several important metabolites including DHA (4Z,7Z,10Z,13Z,16Z,19Z-docosahexaenoic acid), all-trans-retinal and its toxic end-product N-retinyl-N-retinylidene-ethanolamine were observed between healthy and dystrophic retinas. In this study, metabolomics was further used to determine the temporal effects of the therapeutic intervention of grafting stem cell-derived retinal pigment epithelium (RPE) in dystrophic retinas, which significantly prevented photoreceptor atrophy in our previous studies. The result revealed that lipid levels such as phosphatidylethanolamine in eyes were restored in those animals receiving the RPE grafts. In conclusion, this study provides insight into the metabolomics of retinal degeneration, and further understanding of the efficacy of RPE transplantation.This article is part of the themed issue 'Quantitative mass spectrometry'.
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Affiliation(s)
- Junhua Wang
- Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Peter D Westenskow
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA The Lowy Medical Research Institute, 3366 N. Torrey Pines Court, Suite 300, La Jolla, CA 92037, USA
| | - Mingliang Fang
- Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA School of Civil and Environmental Engineering, Nanyang Technological University, Singapore
| | - Martin Friedlander
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Gary Siuzdak
- Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA Departments of Chemistry, Molecular and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
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Zhang W, Likhodii S, Zhang Y, Aref-Eshghi E, Harper PE, Randell E, Green R, Martin G, Furey A, Sun G, Rahman P, Zhai G. Classification of osteoarthritis phenotypes by metabolomics analysis. BMJ Open 2014; 4:e006286. [PMID: 25410606 PMCID: PMC4244434 DOI: 10.1136/bmjopen-2014-006286] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES To identify metabolic markers that can classify patients with osteoarthritis (OA) into subgroups. DESIGN A case-only study design was utilised. PARTICIPANTS Patients were recruited from those who underwent total knee or hip replacement surgery due to primary OA between November 2011 and December 2013 in St. Clare's Mercy Hospital and Health Science Centre General Hospital in St. John's, capital of Newfoundland and Labrador (NL), Canada. 38 men and 42 women were included in the study. The mean age was 65.2±8.7 years. OUTCOME MEASURES Synovial fluid samples were collected at the time of their joint surgeries. Metabolic profiling was performed on the synovial fluid samples by the targeted metabolomics approach, and various analytic methods were utilised to identify metabolic markers for classifying subgroups of patients with OA. Potential confounders such as age, sex, body mass index (BMI) and comorbidities were considered in the analysis. RESULTS Two distinct patient groups, A and B, were clearly identified in the 80 patients with OA. Patients in group A had a significantly higher concentration on 37 of 39 acylcarnitines, but the free carnitine was significantly lower in their synovial fluids than in those of patients in group B. The latter group was further subdivided into two subgroups, that is, B1 and B2. The corresponding metabolites that contributed to the grouping were 86 metabolites including 75 glycerophospholipids (6 lysophosphatidylcholines, 69 phosphatidylcholines), 9 sphingolipids, 1 biogenic amine and 1 acylcarnitine. The grouping was not associated with any known confounders including age, sex, BMI and comorbidities. The possible biological processes involved in these clusters are carnitine, lipid and collagen metabolism, respectively. CONCLUSIONS The study demonstrated that OA consists of metabolically distinct subgroups. Identification of these distinct subgroups will help to unravel the pathogenesis and develop targeted therapies for OA.
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Affiliation(s)
- Weidong Zhang
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Sergei Likhodii
- Department of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Yuhua Zhang
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Erfan Aref-Eshghi
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Patricia E Harper
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Edward Randell
- Department of Laboratory Medicine, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Roger Green
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Glynn Martin
- Department of Surgery, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Andrew Furey
- Department of Surgery, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Guang Sun
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Proton Rahman
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Guangju Zhai
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland, Canada
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
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Jeter CB, Hergenroeder GW, Ward NH, Moore AN, Dash PK. Human mild traumatic brain injury decreases circulating branched-chain amino acids and their metabolite levels. J Neurotrauma 2013; 30:671-9. [PMID: 23560894 DOI: 10.1089/neu.2012.2491] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The pathophysiology of traumatic brain injury (TBI) is complex and not well understood. Because pathophysiology has ramifications for injury progression and outcome, we sought to identify metabolic cascades that are altered after acute human mild and severe TBI. Because catabolism of branched-chain amino acids (BCAAs; i.e., valine, isoleucine, and leucine) leads to glucose and energy metabolism, and neurotransmitter synthesis and availability, we investigated BCAA metabolites in plasma samples collected within 24 h of injury from mild TBI (Glasgow Coma Scale [GCS] score >12), severe TBI (GCS ≤8), orthopedic injury, and healthy volunteers. We report decreased levels of all three BCAAs in patients with mild TBI relative to healthy volunteers, while these BCAAs levels in patients with severe TBI were further reduced compared with all groups. Orthopedic patients exhibited reductions in BCAA comparable to those in patients with mild TBI. The decrease in patients with mild and severe TBI persisted for derivatives of BCAA catabolic intermediates. Only plasma levels of methylglutarylcarnitine, a derivative of a leucine metabolite, were increased in patients with severe TBI compared with all other groups. Notably, logistic regression combination of three BCAA metabolites whose levels were changed by 24 h post-injury provided prognostic value (area under the curve=0.92) in identifying patients with severe TBI in whom elevated intracranial pressure (≥25 mm Hg) developed. These changes suggest alteration of BCAA metabolism after TBI may contribute to decreased energy production and neurotransmitter synthesis and may contribute to TBI pathophysiology. Supplementation of BCAAs and/or their metabolites may reduce TBI pathology and improve outcome.
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Affiliation(s)
- Cameron B Jeter
- Department of Diagnostic and Biomedical Sciences, The University of Texas School of Dentistry at Houston, Houston, Texas, USA
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Upham J, Acott PD, O'regan P, Sinal CJ, Crocker JFS, Geldenhuys L, Murphy MG. The pesticide adjuvant, Toximul™, alters hepatic metabolism through effects on downstream targets of PPARα. Biochim Biophys Acta Mol Basis Dis 2007; 1772:1057-64. [PMID: 17643967 DOI: 10.1016/j.bbadis.2007.06.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2007] [Revised: 06/01/2007] [Accepted: 06/08/2007] [Indexed: 11/23/2022]
Abstract
Previous studies demonstrated that chronic dermal exposure to the pesticide adjuvant (surfactant), Toximul (Tox), has significant detrimental effects on hepatic lipid metabolism. This study demonstrated that young mice dermally exposed to Tox for 12 days have significant increases in expression of peroxisomal acyl-CoA oxidase (mRNA and protein), bifunctional enzyme (mRNA) and thiolase (mRNA), as well as the P450 oxidizing enzymes Cyp4A10 and Cyp4A14 (mRNA and protein). Tox produced a similar pattern of increases in wild type adult female mice but did not induce these responses in PPARalpha-null mice. These data support the hypothesis that Tox, a heterogeneous blend of nonionic and anionic surfactants, modulates hepatic metabolism at least in part through activation of PPARalpha. Notably, all three groups of Tox-treated mice had increased relative liver weights due to significant accumulation of lipid. This could be endogenous in nature and/or a component(s) of Tox or a metabolite thereof. The ability of Tox and other hydrocarbon pollutants to induce fatty liver despite being PPARalpha agonists indicates a novel consequence of exposure to this class of chemicals, and may provide a new understanding of fatty liver in populations with industrial exposure.
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Affiliation(s)
- Jacqueline Upham
- Departments of Physiology and Biophysics, 5850 College Street, Sir Charles Tupper Medical Building, Dalhousie University, Halifax, Nova Scotia, Canada B3H 1X5
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