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Cannet C, Bayat A, Frauendienst-Egger G, Freisinger P, Spraul M, Himmelreich N, Kockaya M, Ahring K, Godejohann M, MacDonald A, Trefz F. Phenylketonuria (PKU) Urinary Metabolomic Phenotype Is Defined by Genotype and Metabolite Imbalance: Results in 51 Early Treated Patients Using Ex Vivo 1H-NMR Analysis. Molecules 2023; 28:4916. [PMID: 37446577 DOI: 10.3390/molecules28134916] [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: 04/24/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 07/15/2023] Open
Abstract
Phenylketonuria (PKU) is a rare metabolic disorder caused by mutations in the phenylalanine hydroxylase gene. Depending on the severity of the genetic mutation, medical treatment, and patient dietary management, elevated phenylalanine (Phe) may occur in blood and brain tissues. Research has recently shown that high Phe not only impacts the central nervous system, but also other organ systems (e.g., heart and microbiome). This study used ex vivo proton nuclear magnetic resonance (1H-NMR) analysis of urine samples from PKU patients (mean 14.9 ± 9.2 years, n = 51) to identify the impact of elevated blood Phe and PKU treatment on metabolic profiles. Our results found that 24 out of 98 urinary metabolites showed a significant difference (p < 0.05) for PKU patients compared to age-matched healthy controls (n = 51) based on an analysis of urinary metabolome. These altered urinary metabolites were related to Phe metabolism, dysbiosis, creatine synthesis or intake, the tricarboxylic acid (TCA) cycle, end products of nicotinamide-adenine dinucleotide degradation, and metabolites associated with a low Phe diet. There was an excellent correlation between the metabolome and genotype of PKU patients and healthy controls of 96.7% in a confusion matrix model. Metabolomic investigations may contribute to a better understanding of PKU pathophysiology.
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Affiliation(s)
| | - Allan Bayat
- Kennedy Centre, Center for PKU, 2600 Glostrup, Denmark
| | | | - Peter Freisinger
- Department of Pediatrics, School of Medicine, University of Tübingen, 72074 Tübingen, Germany
| | | | | | - Musa Kockaya
- Private Pediatric Practice, 68307 Mannheim, Germany
| | | | | | - Anita MacDonald
- Dietetic Department, Birmingham Children's Hospital, Birmingham B4 6NH, UK
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Fabbri L, Garlantézec R, Audouze K, Bustamante M, Carracedo Á, Chatzi L, Ramón González J, Gražulevičienė R, Keun H, Lau CHE, Sabidó E, Siskos AP, Slama R, Thomsen C, Wright J, Lun Yuan W, Casas M, Vrijheid M, Maitre L. Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic profiles: A panel study. ENVIRONMENT INTERNATIONAL 2023; 173:107856. [PMID: 36867994 DOI: 10.1016/j.envint.2023.107856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/23/2023] [Accepted: 02/23/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Individuals are exposed to environmental pollutants with endocrine disrupting activity (endocrine disruptors, EDCs) and the early stages of life are particularly susceptible to these exposures. Previous studies have focused on identifying molecular signatures associated with EDCs, but none have used repeated sampling strategy and integrated multiple omics. We aimed to identify multi-omic signatures associated with childhood exposure to non-persistent EDCs. METHODS We used data from the HELIX Child Panel Study, which included 156 children aged 6 to 11. Children were followed for one week, in two time periods. Twenty-two non-persistent EDCs (10 phthalate, 7 phenol, and 5 organophosphate pesticide metabolites) were measured in two weekly pools of 15 urine samples each. Multi-omic profiles (methylome, serum and urinary metabolome, proteome) were measured in blood and in a pool urine samples. We developed visit-specific Gaussian Graphical Models based on pairwise partial correlations. The visit-specific networks were then merged to identify reproducible associations. Independent biological evidence was systematically sought to confirm some of these associations and assess their potential health implications. RESULTS 950 reproducible associations were found among which 23 were direct associations between EDCs and omics. For 9 of them, we were able to find corroborating evidence from previous literature: DEP - serotonin, OXBE - cg27466129, OXBE - dimethylamine, triclosan - leptin, triclosan - serotonin, MBzP - Neu5AC, MEHP - cg20080548, oh-MiNP - kynurenine, oxo-MiNP - 5-oxoproline. We used these associations to explore possible mechanisms between EDCs and health outcomes, and found links to health outcomes for 3 analytes: serotonin and kynurenine in relation to neuro-behavioural development, and leptin in relation to obesity and insulin resistance. CONCLUSIONS This multi-omics network analysis at two time points identified biologically relevant molecular signatures related to non-persistent EDC exposure in childhood, suggesting pathways related to neurological and metabolic outcomes.
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Affiliation(s)
- Lorenzo Fabbri
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ronan Garlantézec
- Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé environnement et travail), UMR_S 1085, Rennes, France
| | - Karine Audouze
- Université Paris Cité, T3S, INSERM UMR-S 1124, 45 rue des Saints Pères, Paris, France
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Ángel Carracedo
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), University of Santiago de Compostela, CEGEN-PRB3, Santiago de Compostela, Spain; Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Servicio Gallego de Salud (SERGAS), Santiago de Compostela, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Juan Ramón González
- ISGlobal, Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain; Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | | | - Hector Keun
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer & Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Chung-Ho E Lau
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College, South Kensington, London, UK
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Alexandros P Siskos
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery and Cancer & Division of Systems Medicine, Department of Metabolism, Digestion & Reproduction, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm, CNRS, Université Grenoble Alpes, Grenoble, France
| | - Cathrine Thomsen
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Wen Lun Yuan
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Maribel Casas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain.
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Dai L, Massy ZA, Stenvinkel P, Chesnaye NC, Larabi IA, Alvarez JC, Caskey FJ, Torino C, Porto G, Szymczak M, Krajewska M, Drechsler C, Wanner C, Jager KJ, Dekker FW, Evenepoel P, Evans M, Torp A, Iwig B, Perras B, Marx C, Drechsler C, Blaser C, Wanner C, Emde C, Krieter D, Fuchs D, Irmler E, Platen E, Schmidt-Gürtler H, Schlee H, Naujoks H, Schlee I, Cäsar S, Beige J, Röthele J, Mazur J, Hahn K, Blouin K, Neumeier K, Anding-Rost K, Schramm L, Hopf M, Wuttke N, Frischmuth N, Ichtiaris P, Kirste P, Schulz P, Aign S, Biribauer S, Manan S, Röser S, Heidenreich S, Palm S, Schwedler S, Delrieux S, Renker S, Schättel S, Stephan T, Schmiedeke T, Weinreich T, Leimbach T, Stövesand T, Bahner U, Seeger W, Cupisti A, Sagliocca A, Ferraro A, Mele A, Naticchia A, Còsaro A, Ranghino A, Stucchi A, Pignataro A, De Blasio A, Pani A, Tsalouichos A, Antonio B, Iorio BRD, Alessandra B, Abaterusso C, Somma C, D'alessandro C, Torino C, Zullo C, Pozzi C, Bergamo D, Ciurlino D, Motta D, Russo D, Favaro E, Vigotti F, Ansali F, Conte F, Cianciotta F, Giacchino F, Cappellaio F, Pizzarelli F, Greco G, Porto G, Bigatti G, Marinangeli G, Cabiddu G, Fumagalli G, Caloro G, Piccoli G, Capasso G, Gambaro G, Tognarelli G, Bonforte G, Conte G, Toscano G, Del Rosso G, Capizzi I, Baragetti I, Oldrizzi L, Gesualdo L, Biancone L, Magnano M, Ricardi M, Bari MD, Laudato M, Sirico ML, Ferraresi M, Provenzano M, Malaguti M, Palmieri N, Murrone P, Cirillo P, Dattolo P, Acampora P, Nigro R, Boero R, Scarpioni R, Sicoli R, Malandra R, Savoldi S, Bertoli S, Borrelli S, Maxia S, Maffei S, Mangano S, Cicchetti T, Rappa T, Palazzo V, De Simone W, Schrander A, van Dam B, Siegert C, Gaillard C, Beerenhout C, Verburgh C, Janmaat C, Hoogeveen E, Hoorn E, Dekker F, Boots J, Boom H, Eijgenraam JW, Kooman J, Rotmans J, Jager K, Vogt L, Raasveld M, Vervloet M, van Buren M, van Diepen M, Chesnaye N, Leurs P, Voskamp P, van Esch S, Boorsma S, Berger S, Konings C, Aydin Z, Musiała A, Szymczak A, Olczyk E, Augustyniak-Bartosik H, Miśkowiec-Wiśniewska I, Manitius J, Pondel J, Jędrzejak K, Nowańska K, Nowak Ł, Szymczak M, Durlik M, Dorota S, Nieszporek T, Heleniak Z, Jonsson A, Rogland B, Wallquist C, Vargas D, Dimény E, Sundelin F, Uhlin F, Welander G, Hernandez IB, Gröntoft KC, Stendahl M, Svensson ME, Evans M, Heimburger O, Kashioulis P, Melander S, Almquist T, Woodman A, McKeever A, Ullah A, McLaren B, Harron C, Barrett C, O'Toole C, Summersgill C, Geddes C, Glowski D, McGlynn D, Sands D, Caskey F, Roy G, Hirst G, King H, McNally H, Masri-Senghor H, Murtagh H, Rayner H, Turner J, Wilcox J, Berdeprado J, Wong J, Banda J, Jones K, Haydock L, Wilkinson L, Carmody M, Weetman M, Joinson M, Dutton M, Matthews M, Morgan N, Bleakley N, Cockwell P, Roderick P, Mason P, Kalra P, Sajith R, Chapman S, Navjee S, Crosbie S, Brown S, Tickle S, Mathavakkannan S, Kuan Y. The association between TMAO, CMPF, and clinical outcomes in advanced chronic kidney disease: results from the European QUALity (EQUAL) Study. Am J Clin Nutr 2022; 116:1842-1851. [PMID: 36166845 PMCID: PMC9761748 DOI: 10.1093/ajcn/nqac278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/18/2022] [Accepted: 09/24/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO), a metabolite from red meat and fish consumption, plays a role in promoting cardiovascular events. However, data regarding TMAO and its impact on clinical outcomes are inconclusive, possibly due to its undetermined dietary source. OBJECTIVES We hypothesized that circulating TMAO derived from fish intake might cause less harm compared with red meat sources by examining the concomitant level of 3-carboxy-4-methyl-5-propyl-2-furanpropionate (CMPF), a known biomarker of fish intake, and investigated the association between TMAO, CMPF, and outcomes. METHODS Patients were recruited from the European QUALity (EQUAL) Study on treatment in advanced chronic kidney disease among individuals aged ≥65 y whose estimated glomerular filtration rate (eGFR) had dropped for the first time to ≤20 mL/min per 1.73 m2 during the last 6 mo. The association between TMAO, CMPF, and outcomes including all-cause mortality and kidney replacement therapy (KRT) was assessed among 737 patients. Patients were further stratified by median cutoffs of TMAO and CMPF, suggesting high/low red meat and fish intake. RESULTS During a median of 39 mo of follow-up, 232 patients died. Higher TMAO was independently associated with an increased risk of all-cause mortality (multivariable HR: 1.46; 95% CI: 1.17, 1.83). Higher CMPF was associated with a reduced risk of both all-cause mortality (HR: 0.79; 95% CI: 0.71, 0.89) and KRT (HR: 0.80; 95% CI: 0.71, 0.90), independently of TMAO and other clinically relevant confounders. In comparison to patients with low TMAO and CMPF, patients with low TMAO and high CMPF had reduced risk of all-cause mortality (adjusted HR: 0.49; 95% CI: 0.31, 0.73), whereas those with high TMAO and high CMPF showed no association across adjusted models. CONCLUSIONS High CMPF conferred an independent role in health benefits and might even counteract the unfavorable association between TMAO and outcomes. Whether higher circulating CMPF concentrations are due to fish consumption, and/or if CMPF is a protective factor, remains to be verified.
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Affiliation(s)
- Lu Dai
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden,Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Ziad A Massy
- Division of Nephrology, Ambroise Paré University Hospital, Boulogne-Billancourt, France,Centre for Research in Epidemiology and Population Health (CESP), Inserm UMRS 1018, Team 5, University Versailles-Saint Quentin, University Paris-Saclay, Paris, France
| | - Peter Stenvinkel
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Nicholas C Chesnaye
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Islam Amine Larabi
- Laboratory of Pharmacology and Toxicology, CHU, Raymond Poincare, Garches, France,INSERM U1173, UFR des Sciences de la Santé Simone Veil, Montigny le Bretonneux, Université de Versailles-Saint-Quentin-en-Yvelines, Versailles, France
| | - Jean Claude Alvarez
- Laboratory of Pharmacology and Toxicology, CHU, Raymond Poincare, Garches, France,INSERM U1173, UFR des Sciences de la Santé Simone Veil, Montigny le Bretonneux, Université de Versailles-Saint-Quentin-en-Yvelines, Versailles, France
| | - Fergus J Caskey
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Claudia Torino
- IFC-CNR, Clinical Epidemiology and Pathophysiology of Renal Diseases and Hypertension, Reggio Calabria, Italy
| | - Gaetana Porto
- G.O.M., Bianchi Melacrino Morelli, Reggio Calabria, Italy
| | - Maciej Szymczak
- Clinical Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Magdalena Krajewska
- Clinical Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | | | - Christoph Wanner
- Division of Nephrology, University Hospital of Würzburg, Würzburg, Germany
| | - Kitty J Jager
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Friedo W Dekker
- ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Pieter Evenepoel
- Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven, Leuven, Belgium,Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
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Florian J, Matta MK, DePalma R, Gershuny V, Patel V, Hsiao CH, Zusterzeel R, Rouse R, Prentice K, Nalepinski CG, Kim I, Yi S, Zhao L, Yoon M, Selaya S, Keire D, Korvick J, Strauss DG. Effect of Oral Ranitidine on Urinary Excretion of N-Nitrosodimethylamine (NDMA): A Randomized Clinical Trial. JAMA 2021; 326:240-249. [PMID: 34180947 PMCID: PMC8240005 DOI: 10.1001/jama.2021.9199] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
IMPORTANCE In 2019, the US Food and Drug Administration (FDA) received a citizen petition indicating that ranitidine contained the probable human carcinogen N-nitrosodimethylamine (NDMA). In addition, the petitioner proposed that ranitidine could convert to NDMA in humans; however, this was primarily based on a small clinical study that detected an increase in urinary excretion of NDMA after oral ranitidine consumption. OBJECTIVE To evaluate the 24-hour urinary excretion of NDMA after oral administration of ranitidine compared with placebo. DESIGN, SETTING, AND PARTICIPANTS Randomized, double-blind, placebo-controlled, crossover clinical trial at a clinical pharmacology unit (West Bend, Wisconsin) conducted in 18 healthy participants. The study began in June 2020, and the end of participant follow-up was July 1, 2020. INTERVENTIONS Participants were randomized to 1 of 4 treatment sequences and over 4 periods received ranitidine (300 mg) and placebo (randomized order) with a noncured-meats diet and then a cured-meats diet. The cured-meats diet was designed to have higher nitrites, nitrates (nitrate-reducing bacteria can convert nitrates to nitrites), and NDMA. MAIN OUTCOME AND MEASURE Twenty-four-hour urinary excretion of NDMA. RESULTS Among 18 randomized participants (median age, 33.0 [interquartile range {IQR}, 28.3 to 42.8] years; 9 women [50%]; 7 White [39%], 11 African American [61%]; and 3 Hispanic or Latino ethnicity [17%]), 17 (94%) completed the trial. The median 24-hour NDMA urinary excretion values for ranitidine and placebo were 0.6 ng (IQR, 0 to 29.7) and 10.5 ng (IQR, 0 to 17.8), respectively, with a noncured-meats diet and 11.9 ng (IQR, 5.6 to 48.6) and 23.4 ng (IQR, 8.6 to 36.7), respectively, with a cured-meats diet. There was no statistically significant difference between ranitidine and placebo in 24-hour urinary excretion of NDMA with a noncured-meats diet (median of the paired differences, 0 [IQR, -6.9 to 0] ng; P = .54) or a cured-meats diet (median of the paired differences, -1.1 [IQR, -9.1 to 11.5] ng; P = .71). No drug-related serious adverse events were reported. CONCLUSIONS AND RELEVANCE In this trial that included 18 healthy participants, oral ranitidine (300 mg), compared with placebo, did not significantly increase 24-hour urinary excretion of NDMA when participants consumed noncured-meats or cured-meats diets. The findings do not support that ranitidine is converted to NDMA in a general, healthy population. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04397445.
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Affiliation(s)
- Jeffry Florian
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Murali K. Matta
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Ryan DePalma
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Victoria Gershuny
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Vikram Patel
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Cheng-Hui Hsiao
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Robbert Zusterzeel
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Rodney Rouse
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Kristin Prentice
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
- Booz Allen Hamilton, McLean, Virginia
| | | | - Insook Kim
- Division of Inflammation and Immune Pharmacology, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Sojeong Yi
- Division of Inflammation and Immune Pharmacology, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Liang Zhao
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Miyoung Yoon
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Susan Selaya
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, Missouri
| | - David Keire
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, Missouri
| | - Joyce Korvick
- Division of Gastroenterology, Office of Immunology and Inflammation, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - David G. Strauss
- Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
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A biomimetic natural sciences approach to understanding the mechanisms of ageing in burden of lifestyle diseases. Clin Sci (Lond) 2021; 135:1251-1272. [PMID: 34037207 DOI: 10.1042/cs20201452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/29/2021] [Accepted: 05/04/2021] [Indexed: 12/12/2022]
Abstract
The worldwide landscape of an ageing population and age-related disease brings with it huge socio-economic and public healthcare concerns across nations. Correspondingly, monumental human and financial resources have been invested in biomedical research, with a mission to decode the mechanisms of ageing and how these contribute to age-related disease. Multiple hallmarks of ageing have been identified that are common across taxa, highlighting their fundamental importance. These include dysregulated mitochondrial metabolism and telomeres biology, epigenetic modifications, cell-matrix interactions, proteostasis, dysregulated nutrient sensing, stem cell exhaustion, inflammageing and immuno-senescence. While our understanding of the molecular basis of ageing is improving, it remains a complex and multifactorial process that remains to be fully understood. A key aspect of the shortfall in our understanding of the ageing process lies in translating data from standard animal models to humans. Consequently, we suggest that a 'biomimetic' and comparative approach, integrating knowledge from species in the wild, as opposed to inbred genetically homogenous laboratory animals, can provide powerful insights into human ageing processes. Here we discuss some particularities and comparative patterns among several species from the animal kingdom, endowed with longevity or short lifespans and unique metabolic profiles that could be potentially exploited to the understanding of ageing and age-related diseases. Based upon lessons from nature, we also highlight several avenues for renewed focus in the pathophysiology of ageing and age-related disease (i.e. diet-microbiome-health axis, oxidative protein damage, adaptive homoeostasis and planetary health). We propose that a biomimetic alliance with collaborative research from different disciplines can improve our understanding of ageing and age-related diseases with long-term sustainable utility.
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Brinkmann F, Hanusch B, Ballmann M, Mayorandan S, Bollenbach A, Chobanyan-Jürgens K, Jansen K, Schmidt-Choudhury A, Derichs N, Tsikas D, Lücke T. Activated L-Arginine/Nitric Oxide Pathway in Pediatric Cystic Fibrosis and Its Association with Pancreatic Insufficiency, Liver Involvement and Nourishment: An Overview and New Results. J Clin Med 2020; 9:jcm9062012. [PMID: 32604946 PMCID: PMC7356307 DOI: 10.3390/jcm9062012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 06/15/2020] [Accepted: 06/23/2020] [Indexed: 02/07/2023] Open
Abstract
Cystic fibrosis (CF; OMIM 219700) is a rare genetic disorder caused by a chloride channel defect, resulting in lung disease, pancreas insufficiency and liver impairment. Altered L-arginine (Arg)/nitric oxide (NO) metabolism has been observed in CF patients’ lungs and in connection with malnutrition. The aim of the present study was to investigate markers of the Arg/NO pathway in the plasma and urine of CF patients and to identify possible risk factors, especially associated with malnutrition. We measured the major NO metabolites nitrite and nitrate, Arg, a semi-essential amino acid and NO precursor, the NO synthesis inhibitor asymmetric dimethylarginine (ADMA) and its major urinary metabolite dimethylamine (DMA) in plasma and urine samples of 70 pediatric CF patients and 78 age-matched healthy controls. Biomarkers were determined by gas chromatography–mass spectrometry and high-performance liquid chromatography. We observed higher plasma Arg (90.3 vs. 75.6 µM, p < 0.0001), ADMA (0.62 vs. 0.57 µM, p = 0.03), Arg/ADMA ratio (148 vs. 135, p = 0.01), nitrite (2.07 vs. 1.95 µM, p = 0.03) and nitrate (43.3 vs. 33.1 µM, p < 0.001) concentrations, as well as higher urinary DMA (57.9 vs. 40.7 µM/mM creatinine, p < 0.001) and nitrate (159 vs. 115 µM/mM creatinine, p = 0.001) excretion rates in the CF patients compared to healthy controls. CF patients with pancreatic sufficiency showed plasma concentrations of the biomarkers comparable to those of healthy controls. Malnourished CF patients had lower Arg/ADMA ratios (p = 0.02), indicating a higher NO synthesis capacity in sufficiently nourished CF patients. We conclude that NO production, protein-arginine dimethylation, and ADMA metabolism is increased in pediatric CF patients. Pancreas and liver function influence Arg/NO metabolism. Good nutritional status is associated with higher NO synthesis capacity and lower protein-arginine dimethylation.
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Affiliation(s)
- Folke Brinkmann
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
| | - Beatrice Hanusch
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
- Correspondence: ; Tel.: +49-234-5092615
| | - Manfred Ballmann
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
- Paediatric Clinic, University Medicine Rostock, 18057 Rostock, Germany
| | - Sebene Mayorandan
- Department of Paediatrics, Hannover Medical School, 30623 Hannover, Germany; (S.M.); (K.C.-J.); (N.D.)
- Department of Paediatrics, University Clinic Münster, 48149 Münster, Germany
| | - Alexander Bollenbach
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, 30623 Hannover, Germany; (A.B.); (D.T.)
| | - Kristine Chobanyan-Jürgens
- Department of Paediatrics, Hannover Medical School, 30623 Hannover, Germany; (S.M.); (K.C.-J.); (N.D.)
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Department of General Pediatrics, Neuropediatrics, Metabolism, Gastroenterology, Nephrology, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Pediatric Clinical-Pharmacological Trial Center (paedKliPS), Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Kathrin Jansen
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
| | - Anjona Schmidt-Choudhury
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
| | - Nico Derichs
- Department of Paediatrics, Hannover Medical School, 30623 Hannover, Germany; (S.M.); (K.C.-J.); (N.D.)
- KinderPneumologieDerichs, Pediatric Pneumology and Allergology, CFTR & Pulmonary Research Center, 30173 Hannover, Germany
| | - Dimitrios Tsikas
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, 30623 Hannover, Germany; (A.B.); (D.T.)
| | - Thomas Lücke
- University Children’s Hospital, Ruhr University, 44791 Bochum, Germany; (F.B.); (M.B.); (K.J.); (A.S.-C.); (T.L.)
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7
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Friedrich N, Pietzner M, Engelmann B, Homuth G, Führer D, Brabant G, Wallaschofski H, Völker U. Screening for New Markers to Assess Thyroid Hormone Action by OMICs
Analysis of Human Samples. Exp Clin Endocrinol Diabetes 2020; 128:479-487. [DOI: 10.1055/a-1144-2636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
ABSTRACTDetermination of the levels of thyroid-stimulating hormone (TSH) and free
thyroid hormones (fTHs) is crucial for assessing thyroid function. However,
as a result of inter-individual genetic variability and different
environmental factors individual set points exist for TSH and fTHs and
display considerable variation. Furthermore, under specific
pathophysiological conditions like central hypothyroidism, TSH secreting
pituitary tumors, or thyroid hormone resistance the established markers TSH
and fTH fail to reliably predict thyroid function and adequate supply of TH
to peripheral organs. Even in case of overt hyper- and hypothyroidism
circulating fTH concentrations do not correlate with clinical symptoms.
Therefore, there is a clear need for novel, more specific biomarkers to
diagnose and monitor thyroid function. OMICs screening approaches allow
parallel profiling of hundreds to thousands of molecules and thus
comprehensive monitoring of molecular alterations in tissues and body fluids
that might be associated with changes in thyroid function. These techniques
thus constitute promising tools for the identification of urgently needed
novel biomarkers. This mini review summarizes the findings of OMICs studies
in thyroid research with a particular focus on population-based and patient
studies as well as interventional approaches investigating the effects of
thyroid hormone administration.
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Affiliation(s)
- Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University
Medicine Greifswald, Greifswald, Germany
| | - Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University
Medicine Greifswald, Greifswald, Germany
| | - Beatrice Engelmann
- Interfaculty Institute for Genetics and Functional Genomics, University
Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University
Medicine Greifswald, Greifswald, Germany
| | - Dagmar Führer
- Departments of Endocrinology, Diabetes and Metabolism, University
Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Georg Brabant
- Internal Medicine I, University of Lübeck, Lübeck,
Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University
Medicine Greifswald, Greifswald, Germany
- Praxis für Endokrinologie, Erfurt, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University
Medicine Greifswald, Greifswald, Germany
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Urinary Dimethylamine (DMA) and Its Precursor Asymmetric Dimethylarginine (ADMA) in Clinical Medicine, in the Context of Nitric Oxide (NO) and Beyond. J Clin Med 2020; 9:jcm9061843. [PMID: 32545708 PMCID: PMC7356952 DOI: 10.3390/jcm9061843] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/08/2020] [Accepted: 06/09/2020] [Indexed: 02/08/2023] Open
Abstract
Asymmetric protein-arginine dimethylation is a major post-translational modification (PTM) catalyzed by protein-arginine methyltransferase (PRMT). Regular proteolysis releases asymmetric dimethylarginine (ADMA). Of the daily produced ADMA, about 10% are excreted unchanged in the urine. The remaining 90% are hydrolyzed by dimethylarginine dimethylaminohydrolase (DDAH) to L-citrulline and dimethylamine (DMA), which is readily excreted in the urine. The PRMT/DDAH pathway is almost the exclusive origin of urinary ADMA and the major source of urinary DMA. Dietary fish and seafood represent additional abundant sources of urinary DMA. The present article provides an overview of urinary ADMA and DMA reported thus far in epidemiological, clinical and pharmacological studies, in connection with the L-arginine/nitric oxide (NO) pathway and beyond, in neonates, children and adolescents, young and elderly subjects, males and females. Discussed diseases mainly include those relating to the renal and cardiovascular systems such as peripheral arterial occlusive disease, coronary artery disease, chronic kidney disease, rheumatoid arthritis, Becker muscular disease, Duchenne muscular disease (DMD), attention deficit hyperactivity disorder (ADHD), and type I diabetes. Under standardized conditions involving the abstinence of DMA-rich fresh and canned fish and seafood, urinary DMA and ADMA are useful as measures of whole-body asymmetric arginine-dimethylation in health and disease. The creatinine-corrected excretion rates of DMA range from 10 to 80 µmol/mmol in adults and up to 400 µmol/mmol in children and adolescents. The creatinine-corrected excretion rates of ADMA are on average 10 times lower. In general, diseases are associated with higher urinary DMA and ADMA excretion rates, and pharmacological treatment, such as with steroids and creatine (in DMD), decreases their excretion rates, which may be accompanied by a decreased urinary excretion of nitrate, the major metabolite of NO. In healthy subjects and in rheumatoid arthritis patients, the urinary excretion rate of DMA correlates positively with the excretion rate of dihydroxyphenylglycol (DHPG), the major urinary catecholamines metabolite, suggesting a potential interplay in the PRMT/DDAH/NO pathway.
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An Ethnic Comparison of Arginine Dimethylation and Cardiometabolic Factors in Healthy Black and White Youth: The ASOS and African-PREDICT Studies. J Clin Med 2020; 9:jcm9030844. [PMID: 32244968 PMCID: PMC7141317 DOI: 10.3390/jcm9030844] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/12/2020] [Accepted: 03/18/2020] [Indexed: 12/20/2022] Open
Abstract
Proteinic arginine dimethylation (PADiMe) is a major post-translational modification. Proteolysis of asymmetric and symmetric PADiMe products releases asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA), respectively, two endogenous atherogenic substances. SDMA, ADMA, and its major metabolite dimethylamine (DMA) are eliminated by the kidney. The urinary concentrations of DMA+ADMA, SDMA, and DMA+ADMA+SDMA are useful measures of the whole-body asymmetric and symmetric PADiMe, respectively. Urinary (DMA+ADMA)/SDMA is an index of the asymmetric to symmetric PADiMe balance. In two bi-ethnic studies, the ASOS (39 black boys, 41 white boys) and the African-PREDICT (292 black young men, 281 white young men) studies, we investigated whether ethnicity is a major determinant of PADiMe, and whether PADiMe is associated with blood pressure and ethnicity-dependent growth and inflammatory factors, including HDL. DMA, ADMA, and SDMA were measured in spot urine samples by gas chromatography-mass spectrometry, and their excretion was corrected for creatinine excretion. In black boys, creatinine-corrected DMA, DMA+ADMA, and DMA+ADMA+SDMA concentrations were lower by 11.7%, 9.5%, and 7.6% (all p < 0.05), respectively, compared to the white boys, and 3.4%, 2.0%, and 1.8% lower (all p < 0.05), respectively, in black compared to white men. (DMA+ADMA)/SDMA did not differ between black boys and black men, but was higher in white boys compared to white men. ADMA did not differ between black and white boys, or between black and white men. Creatinine-corrected SDMA excretion was lower in black boys compared to white boys (by 8%) and to white men (by 3.1%). None of the PADiMe indices were associated with blood pressure in either study. IGF-binding protein 3 correlated inversely with all PADiMe indices in the black men only. Our study showed that asymmetric proteinic arginine dimethylation is higher in white boys than in black boys, and that this difference disappears in adulthood. ADMA metabolism and SDMA excretion were lower in the black subjects compared to the white subjects, suggesting ethnicity-dependent hepatic and renal elimination of ADMA and SDMA in the childhood. The results of our study may have clinical relevance beyond atherosclerosis, such as in growth and inflammation, which have not been sufficiently addressed thus far.
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10
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Wu Q, Zhao Y, Zhang X, Yang X. A faster and simpler UPLC-MS/MS method for the simultaneous determination of trimethylamine N-oxide, trimethylamine and dimethylamine in different types of biological samples. Food Funct 2020; 10:6484-6491. [PMID: 31532423 DOI: 10.1039/c9fo00954j] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Gut microbiota-dependent metabolites trimethylamine N-oxide (TMAO), trimethylamine (TMA) and dimethylamine (DMA) from dietary methylamines have recently gained much attention due to their high association with chronic kidney disease risk. Hence a simpler and faster performance liquid chromatography-tandem mass spectrometry method was developed and validated. The quantitative analysis was achieved within 6 min by using Agilent 6460C UPLC-MS/MS with 10% methyl alcohol isocratic elution and was more simple, convenient and rapid than that of previously reported methods. Furthermore, method verification results showed that the method correlation coefficient was 0.99978293, 0.99997514 and 0.98784721, and the detection limit was 0.121, 8.063 and 0.797 μg L-1, and the precision of the retention time and peak area of analytes was less than 0.331 and 3.280, respectively. The method was applied to simultaneously determine TMAO, TMA and DMA in the urine and serum from mice treated with normal, high l-carnitine, or high choline diet. Quantitative recoveries of TMAO, TMA and DMA were in the range of 94.2%-101.0%, and the RSD values were lower than 5.17%. The proposed UPLC-MS/MS-based assay should be of value for further evaluating TMAO as a risk marker and for examining the effect of dietary factors on TMAO metabolism.
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Affiliation(s)
- Qiu Wu
- Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, and Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710119, China.
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11
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Neyer P, Bernasconi L, Fuchs JA, Allenspach MD, Steuer C. Derivatization-free determination of short-chain volatile amines in human plasma and urine by headspace gas chromatography-mass spectrometry. J Clin Lab Anal 2019; 34:e23062. [PMID: 31595561 PMCID: PMC7031570 DOI: 10.1002/jcla.23062] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 09/17/2019] [Accepted: 09/21/2019] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Short-chain volatile amines (SCVA) are an interesting compound class playing crucial roles in physiological and toxicological human settings. Dimethylamine (DMA), trimethylamine (TMA), diethylamine (DEA), and triethylamine (TEA) were investigated in detail. METHODS Headspace gas chromatography coupled to mass spectrometry (HS-GC-MS) was used for the simultaneous qualitative and quantitative determination of four SCVA in different human body fluids. Four hundred microliters of Li-heparin plasma and urine were analyzed after liberation of volatile amines under heated conditions in an aqueous alkaline and saline environment. Target analytes were separated on a volatile amine column and detected on a Thermo DSQ II mass spectrometer scheduled in single ion monitoring mode. RESULTS Chromatographic separation of selected SCVA was done within 7.5 minutes. The method was developed and validated with respect to accuracy, precision, recovery and stability. Accuracy and precision criteria were below 12% for all target analytes at low and high levels. The selected extraction procedure provided recoveries of more than 92% from both matrices for TMA, DEA and TEA. The recovery of DMA from Li-heparin plasma was lower but still in the acceptable range (>75%). The newly validated method was successfully applied to plasma and urine samples from healthy volunteers. Detected concentrations of endogenous metabolites DMA and TMA are comparable to already known reference ranges. CONCLUSION Herein, we describe the successful development and validation of a reliable and broadly applicable HS-GC-MS procedure for the simultaneous and quantitative determination of SCVA in human plasma and urine without relying on derivatization chemistry.
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Affiliation(s)
- Peter Neyer
- Institute of Laboratory Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Luca Bernasconi
- Institute of Laboratory Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Jens A Fuchs
- Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland
| | | | - Christian Steuer
- Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland
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12
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Chan MM, Yang X, Wang H, Saaoud F, Sun Y, Fong D. The Microbial Metabolite Trimethylamine N-Oxide Links Vascular Dysfunctions and the Autoimmune Disease Rheumatoid Arthritis. Nutrients 2019; 11:E1821. [PMID: 31394758 PMCID: PMC6723051 DOI: 10.3390/nu11081821] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/21/2019] [Accepted: 08/05/2019] [Indexed: 12/13/2022] Open
Abstract
Diet and microbiota each have a direct impact on many chronic, inflammatory, and metabolic diseases. As the field develops, a new perspective is emerging. The effects of diet may depend on the microbiota composition of the intestine. A diet that is rich in choline, red meat, dairy, or egg may promote the growth, or change the composition, of microbial species. The microbiota, in turn, may produce metabolites that increase the risk of cardiovascular disease. This article reviews our current understanding of the effects of the molecule trimethylamine-N-oxide (TMAO) obtained from food or produced by the microbiota. We review the mechanisms of actions of TMAO, and studies that associate it with cardiovascular and chronic kidney diseases. We introduce a novel concept: TMAO is one among a group of selective uremic toxins that may rise to high levels in the circulation or accumulate in various organs. Based on this information, we evaluate how TMAO may harm, by exacerbating inflammation, or may protect, by attenuating amyloid formation, in autoimmune diseases such as rheumatoid arthritis.
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Affiliation(s)
- Marion M Chan
- Department of Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA.
| | - Xiaofeng Yang
- Center for Inflammation, Translational and Clinical Lung Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
| | - Hong Wang
- Department of Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
- Center for Metabolic Disease Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
| | - Fatma Saaoud
- Center for Metabolic Disease Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
| | - Yu Sun
- Center for Metabolic Disease Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
| | - Dunne Fong
- Department of Cell Biology and Neuroscience, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
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Bollenbach A, Huneau JF, Mariotti F, Tsikas D. Asymmetric and Symmetric Protein Arginine Dimethylation: Concept and Postprandial Effects of High-Fat Protein Meals in Healthy Overweight Men. Nutrients 2019; 11:nu11071463. [PMID: 31252632 PMCID: PMC6683311 DOI: 10.3390/nu11071463] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 06/17/2019] [Accepted: 06/24/2019] [Indexed: 02/07/2023] Open
Abstract
Asymmetric and symmetric dimethylarginine (ADMA and SDMA, respectively) are risk factors for the cardiovascular and renal systems. There is a paucity of data in humans regarding variations of protein L-arginine (Arg) methylation leading to ADMA and SDMA. In this study, we introduced and used Arg dimethylation indices based on the creatinine-corrected urinary excretion of SDMA and ADMA, and its major metabolite dimethylamine (DMA). The main objective of the present study was to assess whether, and to which extent, a high-fat protein meal (HFM), a classical allostatic load eliciting various adverse effects, may contribute to Arg dimethylation in proteins in humans. Reliable gas chromatography-mass spectrometry methods were used to measure the concentration of ADMA, DMA, SDMA, and creatinine in spot urine samples collected before (0 h), and after (2, 4, 6 h) three HFM sessions in 10 healthy overweight individuals. At baseline, urinary ADMA, DMA, and SDMA excretion correlated positively with circulating TNF-α and IL-6. Arg dimethylation indices did not change postprandially. Our study shows that three HFMs do not contribute to Arg dimethylation in proteins. The proposed indices should be useful to determine extent and status of the whole-body Arg dimethylation in proteins in humans under various conditions.
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Affiliation(s)
- Alexander Bollenbach
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, 30623 Hannover, Germany
| | | | - François Mariotti
- UMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France
| | - Dimitrios Tsikas
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, 30623 Hannover, Germany.
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14
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Pugliese G, Trefz P, Brock B, Schubert JK, Miekisch W. Extending PTR based breath analysis to real-time monitoring of reactive volatile organic compounds. Analyst 2019; 144:7359-7367. [DOI: 10.1039/c9an01478k] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Direct time resolved mass spectrometric monitoring of reactive exhaled nitrogen- and sulfur-containing volatile organic compounds (VOCs) related to metabolic processes, diseases and bacterial activity.
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Affiliation(s)
- Giovanni Pugliese
- Department of Anaesthesiology and Intensive Care
- Rostock University Medical Center
- 18057 Rostock
- Germany
| | - Phillip Trefz
- Department of Anaesthesiology and Intensive Care
- Rostock University Medical Center
- 18057 Rostock
- Germany
| | - Beate Brock
- Department of Anaesthesiology and Intensive Care
- Rostock University Medical Center
- 18057 Rostock
- Germany
| | - Jochen K. Schubert
- Department of Anaesthesiology and Intensive Care
- Rostock University Medical Center
- 18057 Rostock
- Germany
| | - Wolfram Miekisch
- Department of Anaesthesiology and Intensive Care
- Rostock University Medical Center
- 18057 Rostock
- Germany
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15
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Bollenbach A, Tsikas D. Pharmacological activation of dimethylarginine dimethylaminohydrolase (DDAH) activity by inorganic nitrate and DDAH inhibition by N G-hydroxy-L-arginine, N ω,N ω-dimethyl-L-citrulline and N ω,N ω-dimethyl-N δ-hydroxy-L-citrulline: results and overview. Amino Acids 2018; 51:483-494. [PMID: 30536052 DOI: 10.1007/s00726-018-2684-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 11/27/2018] [Indexed: 01/08/2023]
Abstract
Asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) are endogenous inhibitors of nitric oxide (NO) synthase. SDMA is excreted in the urine without major metabolization. About 10% of daily produced ADMA are excreted unchanged in the urine. The major elimination route of ADMA (about 90%) involves its hydrolysis to dimethylamine (DMA) and L-citrulline by dimethylarginine dimethylaminohydrolase (DDAH) and excretion of DMA in the urine. High circulating and low excretory concentrations of ADMA are considered risk factors. Experimentally, DDAH activity can be inhibited by SH-specific agents such as inorganic and organic mercury compounds, and by S-nitrosothiols which block the SH group of a particular cysteine moiety of DDAH that is essential for its hydrolytic activity. Alternatively, DDAH activity can be inhibited by organic compounds that compete with the substrate ADMA for DDAH. Arginine analogs that contain substituents on guanidine nitrogen atom(s) (NG) represent a class of DDAH inhibitors. In the present study, we investigated the effects of physiological and natural amino acid derivatives of L-arginine and L-citrulline as well as of nitrate and nitrite, the major circulating and excretory metabolites of NO and NO donating drugs. Here, we report for the first time that the physiological NG-hydroxy-L-arginine, an isolable intermediate in NO synthesis, inhibits recombinant DDAH-1 activity (IC50 ≈ 100 µM). Two plant L-citrulline derivatives, i.e., Nω,Nω-dimethyl-L-citrulline and Nω,Nω-dimethyl-Nδ-hydroxy-L-citrulline (connatin), were found to inhibit almost completely hepatic DDAH activity in vitro in rat homogenate at a concentration of 100 µM each. At pharmacological concentrations (i.e., 1 mM), inorganic nitrate, but not inorganic nitrite, was found to increase rat liver DDAH activity. In urine of 18 patients with Becker's muscular dystrophy, nitrate was found to correlate closely with DMA (Spearman, r = 0.73, p = 0.002). In summary, NG-hydroxy-L-arginine, Nω,Nω-dimethyl-L-citrulline and Nω,Nω-dimethyl-Nδ-hydroxy-L-citrulline are novel inhibitors of DDAH activity. This article provides an overview of amino acid-based DDAH inhibitors and discusses potential underlying inhibition mechanisms.
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Affiliation(s)
- Alexander Bollenbach
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Dimitrios Tsikas
- Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany.
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Noorbakhsh H, Yavarmanesh M, Mortazavi SA, Adibi P, Moazzami AA. Metabolomics analysis revealed metabolic changes in patients with diarrhea-predominant irritable bowel syndrome and metabolic responses to a synbiotic yogurt intervention. Eur J Nutr 2018; 58:3109-3119. [PMID: 30392136 DOI: 10.1007/s00394-018-1855-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 10/29/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE Irritable bowel syndrome is a gastrointestinal disorder which can influence human metabolism. It has been demonstrated that probiotics are beneficial in controlling IBS. Thus, the main objective of the present study was to determine metabolic changes in response to diarrhea predominant irritable bowel syndrome (IBS-D) and to investigate the metabolic effects of a synbiotic intervention on serum, urine, and stool samples from IBS-D patients and healthy controls using proton nuclear magnetic resonance (1HNMR). METHODS A 1HNMR-based metabolomics study was conducted on urine and serum metabolites from 16 healthy and eight IBS-D participants at baseline and after 4 weeks of a synbiotic yogurt intervention. RESULTS At the baseline, serum acetoacetate, myo-inositol, and sarcosine concentrations were higher and threonine and methionine concentrations were lower in the IBS-D cohort than the control group. Moreover, Indoxyl-sulfate concentration of urine was lower and dimethylamine and taurine were higher in the IBS-D group. After intervention, serum concentration of ketone bodies decreased, choline, phenylalanine, and branched-chain amino acids increased in IBS-D group. Metabolomics analysis indicated a shift in one-carbon metabolism. Thus, the level of serum homocysteine was determined and found to be higher in the IBS-D cohort at baseline, and then decreased after the intervention. CONCLUSION IBS causes a shift in one-carbon metabolism and these changes can be reversed by a synbiotic intervention. An increase in the number of fecal Lactobacilli and an improvement in the health status of IBS-D patients were also observed in response to intervention.
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Affiliation(s)
- Hamid Noorbakhsh
- Department of Food Science and Technology, Collage of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Masoud Yavarmanesh
- Department of Food Science and Technology, Collage of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
| | - Seyed Ali Mortazavi
- Department of Food Science and Technology, Collage of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Peyman Adibi
- Integrative Functional Gastroenterology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali A Moazzami
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
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17
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Almanza-Aguilera E, Urpi-Sarda M, Llorach R, Vázquez-Fresno R, Garcia-Aloy M, Carmona F, Sanchez A, Madrid-Gambin F, Estruch R, Corella D, Andres-Lacueva C. Microbial metabolites are associated with a high adherence to a Mediterranean dietary pattern using a 1H-NMR-based untargeted metabolomics approach. J Nutr Biochem 2017; 48:36-43. [PMID: 28692847 DOI: 10.1016/j.jnutbio.2017.06.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 05/09/2017] [Accepted: 06/01/2017] [Indexed: 11/18/2022]
Abstract
The study of biomarkers of dietary patterns including the Mediterranean diet (MedDiet) is scarce and could improve the assessment of these patterns. Moreover, it could provide a better understanding of health benefits of dietary patterns in nutritional epidemiology. We aimed to determine a robust and accurate biomarker associated with a high adherence to a MedDiet pattern that included dietary assessment and its biological effect. In this cross-sectional study, we included 56 and 63 individuals with high (H-MDA) and low (L-MDA) MedDiet adherence categories, respectively, all from the Prevención con Dieta Mediterránea trial. A 1H-NMR-based untargeted metabolomics approach was applied to urine samples. Multivariate statistical analyses were conducted to determine the metabolite differences between groups. A stepwise logistic regression and receiver operating characteristic curves were used to build and evaluate the prediction model for H-MDA. Thirty-four metabolites were identified as discriminant between H-MDA and L-MDA. The fingerprint associated with H-MDA included higher excretion of proline betaine and phenylacetylglutamine, among others, and decreased amounts of metabolites related to glucose metabolism. Three microbial metabolites - phenylacetylglutamine, p-cresol and 4-hydroxyphenylacetate - were included in the prediction model of H-MDA (95% specificity, 95% sensitivity and 97% area under the curve). The model composed of microbial metabolites was the biomarker that defined high adherence to a Mediterranean dietary pattern. The overall metabolite profiling identified reflects the metabolic modulation produced by H-MDA. The proposed biomarker may be a better tool for assessing and aiding nutritional epidemiology in future associations between H-MDA and the prevention or amelioration of chronic diseases.
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Affiliation(s)
- Enrique Almanza-Aguilera
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain.
| | - Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Rosa Vázquez-Fresno
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Francesc Carmona
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Alex Sanchez
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain; Statistics and Bioinformatics Unit. Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Francisco Madrid-Gambin
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid 28028, Spain; Department of Internal Medicine, Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid 28028, Spain; Department of Preventive Medicine, University of Valencia, Valencia 46010, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain.
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18
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Friedrich N, Pietzner M, Cannet C, Thuesen BH, Hansen T, Wallaschofski H, Grarup N, Skaaby T, Budde K, Pedersen O, Nauck M, Linneberg A. Urinary metabolomics reveals glycemic and coffee associated signatures of thyroid function in two population-based cohorts. PLoS One 2017; 12:e0173078. [PMID: 28253303 PMCID: PMC5333857 DOI: 10.1371/journal.pone.0173078] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 02/14/2017] [Indexed: 12/28/2022] Open
Abstract
Background Triiodothyronine (T3) and thyroxine (T4) as the main secretion products of the thyroid affect nearly every human tissue and are involved in a broad range of processes ranging from energy expenditure and lipid metabolism to glucose homeostasis. Metabolomics studies outside the focus of clinical manifest thyroid diseases are rare. The aim of the present investigation was to analyze the cross-sectional and longitudinal associations of urinary metabolites with serum free T4 (FT4) and thyroid-stimulating hormone (TSH). Methods Urine Metabolites of participants of the population-based studies Inter99 (n = 5620) and Health2006/Health2008 (n = 3788) were analyzed by 1H-NMR spectroscopy. Linear or mixed linear models were used to detect associations between urine metabolites and thyroid function. Results Cross-sectional analyses revealed positive relations of alanine, trigonelline and lactic acid with FT4 and negative relations of dimethylamine, glucose, glycine and lactic acid with log(TSH). In longitudinal analyses, lower levels of alanine, dimethylamine, glycine, lactic acid and N,N-dimethylglycine were linked to a higher decline in FT4 levels over time, whereas higher trigonelline levels were related to a higher FT4 decline. Moreover, the risk of hypothyroidism was higher in subjects with high baseline trigonelline or low lactic acid, alanine or glycine values. Conclusion The detected associations mainly emphasize the important role of thyroid hormones in glucose homeostasis. In addition, the predictive character of these metabolites might argue for a potential feedback of the metabolic state on thyroid function. Besides known metabolic consequences of TH, the link to the urine excretion of trigonelline, a marker of coffee consumption, represents a novel finding of this study and given the ubiquitous consumption of coffee requires further research.
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Affiliation(s)
- Nele Friedrich
- Research Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- * E-mail:
| | - Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Betina H. Thuesen
- Research Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark
| | - Torben Hansen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- Private Practice Endocrinology, Erfurt, Germany
| | - Niels Grarup
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Tea Skaaby
- Research Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Oluf Pedersen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Allan Linneberg
- Research Centre for Prevention and Health, The Capital Region of Denmark, Glostrup, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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19
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Cho CE, Caudill MA. Trimethylamine-N-Oxide: Friend, Foe, or Simply Caught in the Cross-Fire? Trends Endocrinol Metab 2017; 28:121-130. [PMID: 27825547 DOI: 10.1016/j.tem.2016.10.005] [Citation(s) in RCA: 128] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Revised: 10/05/2016] [Accepted: 10/12/2016] [Indexed: 12/15/2022]
Abstract
Trimethylamine-N-oxide (TMAO), a gut-derived metabolite, has recently emerged as a candidate risk factor for cardiovascular disease and other adverse health outcomes. However, the relation between TMAO and chronic disease can be confounded by several factors, including kidney function, the gut microbiome, and flavin-containing monooxygenase 3 (FMO3) genotype. Thus, whether TMAO is a causative agent in human disease development and progression, or simply a marker of an underlying pathology, remains inconclusive. Importantly, dietary sources of TMAO have beneficial health effects and provide nutrients that have critical roles in many biological functions. Pre-emptive dietary strategies to restrict TMAO-generating nutrients as a means to improve human health warrant careful consideration and may not be justified at this time.
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Affiliation(s)
- Clara E Cho
- Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT 84322, USA
| | - Marie A Caudill
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA.
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20
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Trimethylamine-N-oxide (TMAO) response to animal source foods varies among healthy young men and is influenced by their gut microbiota composition: A randomized controlled trial. Mol Nutr Food Res 2016; 61. [DOI: 10.1002/mnfr.201600324] [Citation(s) in RCA: 208] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 05/30/2016] [Accepted: 06/26/2016] [Indexed: 11/07/2022]
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21
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Zhong Z, Li G, Zhong X, Luo Z, Zhu B. Ultrasound-assisted low-density solvent dispersive liquid–liquid extraction for the determination of alkanolamines and alkylamines in cosmetics with ion chromatography. Talanta 2013; 115:518-25. [DOI: 10.1016/j.talanta.2013.04.045] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 04/12/2013] [Accepted: 04/21/2013] [Indexed: 12/01/2022]
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22
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Neal CM, Hunter AM, Brennan L, O'Sullivan A, Hamilton DL, DeVito G, Galloway SDR. Six weeks of a polarized training-intensity distribution leads to greater physiological and performance adaptations than a threshold model in trained cyclists. J Appl Physiol (1985) 2013; 114:461-71. [DOI: 10.1152/japplphysiol.00652.2012] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
This study was undertaken to investigate physiological adaptation with two endurance-training periods differing in intensity distribution. In a randomized crossover fashion, separated by 4 wk of detraining, 12 male cyclists completed two 6-wk training periods: 1) a polarized model [6.4 (±1.4 SD) h/wk; 80%, 0%, and 20% of training time in low-, moderate-, and high-intensity zones, respectively]; and 2) a threshold model [7.5 (±2.0 SD) h/wk; 57%, 43%, and 0% training-intensity distribution]. Before and after each training period, following 2 days of diet and exercise control, fasted skeletal muscle biopsies were obtained for mitochondrial enzyme activity and monocarboxylate transporter (MCT) 1 and 4 expression, and morning first-void urine samples were collected for NMR spectroscopy-based metabolomics analysis. Endurance performance (40-km time trial), incremental exercise, peak power output (PPO), and high-intensity exercise capacity (95% maximal work rate to exhaustion) were also assessed. Endurance performance, PPOs, lactate threshold (LT), MCT4, and high-intensity exercise capacity all increased over both training periods. Improvements were greater following polarized rather than threshold for PPO [mean (±SE) change of 8 (±2)% vs. 3 (±1)%, P < 0.05], LT [9 (±3)% vs. 2 (±4)%, P < 0.05], and high-intensity exercise capacity [85 (±14)% vs. 37 (±14)%, P < 0.05]. No changes in mitochondrial enzyme activities or MCT1 were observed following training. A significant multilevel, partial least squares-discriminant analysis model was obtained for the threshold model but not the polarized model in the metabolomics analysis. A polarized training distribution results in greater systemic adaptation over 6 wk in already well-trained cyclists. Markers of muscle metabolic adaptation are largely unchanged, but metabolomics markers suggest different cellular metabolic stress that requires further investigation.
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Affiliation(s)
- Craig M. Neal
- Health and Exercise Sciences Research Group, School of Sport, University of Stirling, Stirling, Scotland, United Kingdom
| | - Angus M. Hunter
- Health and Exercise Sciences Research Group, School of Sport, University of Stirling, Stirling, Scotland, United Kingdom
| | - Lorraine Brennan
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland; and
| | - Aifric O'Sullivan
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland; and
| | - D. Lee Hamilton
- Health and Exercise Sciences Research Group, School of Sport, University of Stirling, Stirling, Scotland, United Kingdom
| | - Giuseppe DeVito
- Institute for Sport and Health, University College Dublin, Dublin, Ireland
| | - Stuart D. R. Galloway
- Health and Exercise Sciences Research Group, School of Sport, University of Stirling, Stirling, Scotland, United Kingdom
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23
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Zhong Z, Li G, Zhu B, Luo Z. RAPID DISTILLATION COUPLED WITH ION CHROMATOGRAPHY FOR THE DETERMINATION OF SIX ALKYLAMINES IN COSMETICS. J LIQ CHROMATOGR R T 2012. [DOI: 10.1080/10826076.2011.621773] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Zhixiong Zhong
- a Hygiene Laboratory , Center for Disease Control and Prevention of Guangdong Province , Guangzhou , P. R. China
| | - Gongke Li
- b School of Chemistry and Chemical Engineering, Sun Yat-Sen University , Guangzhou , P. R. China
| | - Binghui Zhu
- a Hygiene Laboratory , Center for Disease Control and Prevention of Guangdong Province , Guangzhou , P. R. China
| | - Zhibin Luo
- a Hygiene Laboratory , Center for Disease Control and Prevention of Guangdong Province , Guangzhou , P. R. China
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24
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Merrifield CA, Lewis M, Claus SP, Beckonert OP, Dumas ME, Duncker S, Kochhar S, Rezzi S, Lindon JC, Bailey M, Holmes E, Nicholson JK. A metabolic system-wide characterisation of the pig: a model for human physiology. MOLECULAR BIOSYSTEMS 2011; 7:2577-88. [PMID: 21761043 DOI: 10.1039/c1mb05023k] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The pig is a single-stomached omnivorous mammal and is an important model of human disease and nutrition. As such, it is necessary to establish a metabolic framework from which pathology-based variation can be compared. Here, a combination of one and two-dimensional (1)H and (13)C nuclear magnetic resonance spectroscopy (NMR) and high-resolution magic angle spinning (HR-MAS) NMR was used to provide a systems overview of porcine metabolism via characterisation of the urine, serum, liver and kidney metabolomes. The metabolites observed in each of these biological compartments were found to be qualitatively comparable to the metabolic signature of the same biological matrices in humans and rodents. The data were modelled using a combination of principal components analysis and Venn diagram mapping. Urine represented the most metabolically distinct biological compartment studied, with a relatively greater number of NMR detectable metabolites present, many of which are implicated in gut-microbial co-metabolic processes. The major inter-species differences observed were in the phase II conjugation of extra-genomic metabolites; the pig was observed to conjugate p-cresol, a gut microbial metabolite of tyrosine, with glucuronide rather than sulfate as seen in man. These observations are important to note when considering the translatability of experimental data derived from porcine models.
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Affiliation(s)
- Claire A Merrifield
- Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London, UKSW7 2AZ
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Blackwell S, O'Reilly DSJ, Reid D, Talwar D. Plasma dimethylarginines during the acute inflammatory response. Eur J Clin Invest 2011; 41:635-41. [PMID: 21175611 DOI: 10.1111/j.1365-2362.2010.02451.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Asymmetric dimethylarginine (ADMA) concentrations are increased in critically ill patients and may play a role in multiple organ failure. However, plasma ADMA concentrations during the development of the inflammatory response have not been documented. We measured plasma ADMA, as well as urinary excretion of its major metabolite dimethylamine, and nitrate as a marker of nitric oxide synthase (NOS) activity, in a cohort of patients undergoing elective knee arthroplasty that is known to provoke a significant inflammatory response. METHODS Thirty-eight patients were recruited. Fasting venous blood samples were obtained pre-operatively and at 12h and daily until the fifth post-operative day. ADMA and symmetric dimethylarginine (SDMA) were measured by high-performance liquid chromatography (HPLC). Urinary dimethylamine and nitrate were measured pre-operatively and on each of the post-operative mornings using HPLC and expressed as a ratio to creatinine. RESULTS Plasma ADMA fell by a median of 31% during the post-operative period, reaching a nadir on day 2, and recovering to baseline by the end of the study. SDMA showed no significant changes. No increase in urinary dimethylamine excretion was noted until day 5 post-op, whereupon it doubled. Urinary nitrate showed a small, but nonsignificant decrease on day 2, suggesting no major activation of NOS activity. CONCLUSIONS Plasma ADMA concentration decreases rapidly and transiently during the first 48h of acute inflammation. This appears not be caused by increased catabolism and may reflect increased cellular partitioning. This may serve to regulate NOS activity and prevent harmful increases in inducible NOS in situations where it is not appropriate.
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Affiliation(s)
- Scott Blackwell
- Department of Clinical Biochemistry, Royal Infirmary, Glasgow, UK
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Wzorek B, Mochalski P, Sliwka I, Amann A. Application of GC-MS with a SPME and thermal desorption technique for determination of dimethylamine and trimethylamine in gaseous samples for medical diagnostic purposes. J Breath Res 2010; 4:026002. [PMID: 21383470 DOI: 10.1088/1752-7155/4/2/026002] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Biogenic amines are interesting compounds which may be of use for medical diagnosis or therapeutic monitoring. The present paper deals with the problems that occur with concentration determination of dimethylamine (DMA) and trimethylamine (TMA). These occur in the breath of people suffering from renal disease. The measurement of amines present in trace concentrations requires the application of suitable analytical methods during sampling, storage and preconcentration. This is particularly so due to their polar and basic properties. In this paper, the application of solid phase microextraction (SPME) and thermal desorption (TD) with subsequent measurement by GC-MS for the determination of amines is discussed. For DMA, preconcentration by SPME did not give satisfactory results. TMA may be analysed using SPME preconcentration with an LOD of 1.5 ppb. Thermal desorption with Tenax as the adsorbing material allows reliable concentration determination for TMA (LOD = 0.5 ppb) and DMA (LOD = 4.6 ppb). DMA cannot be stored reliably in Tedlar bags and longer storage on Tenax (with subsequent TD) does not give good repeatability of results. For TMA, storage can be done on Tenax or in bags, the best results for the latter being achieved with Flex Foil bags.
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Affiliation(s)
- Beata Wzorek
- Institute of Nuclear Physics PAN, Radzikowskiego 152, PL-31342 Kraków, Poland.
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