51
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Pharmacometabolomics analysis of plasma to phenotype clopidogrel high on treatment platelets reactivity in coronary artery disease patients. Eur J Pharm Sci 2018. [PMID: 29526765 DOI: 10.1016/j.ejps.2018.03.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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52
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Wudick MM, Michard E, Oliveira Nunes C, Feijó JA. Comparing Plant and Animal Glutamate Receptors: Common Traits but Different Fates? JOURNAL OF EXPERIMENTAL BOTANY 2018; 69:4976335. [PMID: 29684179 DOI: 10.1093/jxb/ery153] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Indexed: 06/08/2023]
Abstract
Animal ionotropic glutamate receptors (iGluRs) are ligand-gated channels whose evolution is intimately linked to the one of the nervous system, where the agonist glutamate and co-agonists glycine/D-serine act as neuro-transmitters or -modulators. While iGluRs are specialized in neuronal communication, plant glutamate receptor-like (GLR) homologues have evolved many plant-specific physiological functions, such as sperm signaling in moss, pollen tube growth, root meristem proliferation, innate immune and wound responses. GLRs have been associated with Ca2+ signaling by directly channeling its extracellular influx into the cytosol. Nevertheless, very limited information on functional properties of GLRs is available, and we mostly rely on structure/function data obtained for animal iGluRs to interpret experimental results obtained for plant GLRs. Yet, a deeper characterization and better understanding of plant GLRs is progressively unveiling original and different mode of functions when compared to their mammalian counterparts. Here, we review the function of plant GLRs comparing their predicted structure and physiological roles to the well-documented ones of iGluRs. We conclude that interpreting GLR function based on comparison to their animal counterparts calls for caution, especially when presuming physiological roles and mode of action for plant GLRs from comparison to iGluRs in peripheral, non-neuronal tissues.
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Affiliation(s)
- Michael M Wudick
- University of Maryland Dept. of Cell Biology and Molecular Genetics, MD, U.S.A
| | - Erwan Michard
- University of Maryland Dept. of Cell Biology and Molecular Genetics, MD, U.S.A
| | | | - José A Feijó
- University of Maryland Dept. of Cell Biology and Molecular Genetics, MD, U.S.A
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Torinsson Naluai Å, Saadat Vafa L, Gudjonsdottir AH, Arnell H, Browaldh L, Nilsson S, Agardh D. Altered peripheral amino acid profile indicate a systemic impact of active celiac disease and a possible role of amino acids in disease pathogenesis. PLoS One 2018. [PMID: 29538446 PMCID: PMC5851604 DOI: 10.1371/journal.pone.0193764] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND We have previously performed a Genome Wide Association and linkage study that indicated a new disease triggering mechanism involving amino acid metabolism and nutrient sensing signaling pathways. OBJECTIVE The aim of this study was to investigate if plasma amino acid levels differed among children with celiac disease compared with disease controls. MATERIALS AND METHODS Fasting plasma samples from 141 children with celiac disease and 129 non-celiac disease controls, were analyzed for amino acid levels by liquid chromatography-tandem mass spectrometry (LC/MS). A general linear model using age and experimental effects as covariates was used to compare amino acid levels between children with a diagnosis of celiac disease and controls. RESULTS Seven out of twenty-three analyzed amino acids were elevated in children with celiac disease compared with controls (tryptophan, taurine, glutamic acid, proline, ornithine, alanine and methionine). The significance of the individual amino acids do not survive multiple correction, however, multivariate analyses of the amino acid profile showed significantly altered amino acid levels in children with celiac disease overall and after correction for age, sex and experimental effects (p = 8.4 × 10-8). CONCLUSION These findings support the idea that amino acids could influence systemic inflammation and play a possible role in disease pathogenesis.
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Affiliation(s)
- Åsa Torinsson Naluai
- Institute of Biomedicine, Department of Microbiology & Immunology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- * E-mail:
| | - Ladan Saadat Vafa
- Institute of Biomedicine, Department of Microbiology & Immunology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Audur H. Gudjonsdottir
- Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Henrik Arnell
- Department of Pediatric Gastroenterology, Hepatology and Nutrition, Karolinska University Hospital and Division of Pediatrics, CLINTEC, Karolinska Institute, Stockholm, Sweden
| | - Lars Browaldh
- Department of Clinical Science and Education, Karolinska Institute, Sodersjukhuset, Stockholm, Sweden
| | - Staffan Nilsson
- Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Daniel Agardh
- Diabetes & Celiac Disease Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
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Palmnäs MSA, Kopciuk KA, Shaykhutdinov RA, Robson PJ, Mignault D, Rabasa-Lhoret R, Vogel HJ, Csizmadi I. Serum Metabolomics of Activity Energy Expenditure and its Relation to Metabolic Syndrome and Obesity. Sci Rep 2018; 8:3308. [PMID: 29459697 PMCID: PMC5818610 DOI: 10.1038/s41598-018-21585-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 02/01/2018] [Indexed: 12/19/2022] Open
Abstract
Modifiable lifestyle factors, including exercise and activity energy expenditure (AEE), may attenuate the unfavorable health effects of obesity, such as risk factors of metabolic syndrome (MetS). However, the underlying mechanisms are not clear. In this study we sought to investigate whether the metabolite profiles of MetS and adiposity assessed by body mass index (BMI) and central obesity are inversely correlated with AEE and physical activity. We studied 35 men and 47 women, aged 30-60 years, using doubly labeled water to derive AEE and the Sedentary Time and Activity Reporting Questionnaire (STAR-Q) to determine the time spent in moderate and vigorous physical activity. Proton nuclear magnetic resonance spectroscopy was used for serum metabolomics analysis. Serine and glycine were found in lower concentrations in participants with more MetS risk factors and greater adiposity. However, serine and glycine concentrations were higher with increasing activity measures. Metabolic pathway analysis and recent literature suggests that the lower serine and glycine concentrations in the overweight/obese state could be a consequence of serine entering de novo sphingolipid synthesis. Taken together, higher levels of AEE and physical activity may play a crucial part in improving metabolic health in men and women with and without MetS risk factors.
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Affiliation(s)
- Marie S A Palmnäs
- University of Calgary, Department of Biochemistry and Molecular Biology, Calgary, T2N 1N4, Canada
- University of Calgary, Department of Biological Sciences, Calgary, T2N 1N4, Canada
| | - Karen A Kopciuk
- University of Calgary, Department of Oncology, Calgary, T2N 1N4, Canada
- University of Calgary, Department of Mathematics and Statistics, Calgary, T2N 1N4, Canada
| | | | - Paula J Robson
- C-MORE, CancerControl Alberta, Alberta Health Services, Calgary, T5J 3H1, Canada
| | - Diane Mignault
- Institut de Recherches Cliniques de Montréal, Montréal, H2W 1R7, Canada
- Université de Montréal, Département de Nutrition, Montréal, H3T 1J4, Canada
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montréal, H2W 1R7, Canada
- Université de Montréal, Département de Nutrition, Montréal, H3T 1J4, Canada
| | - Hans J Vogel
- University of Calgary, Department of Biochemistry and Molecular Biology, Calgary, T2N 1N4, Canada.
- University of Calgary, Department of Biological Sciences, Calgary, T2N 1N4, Canada.
| | - Ilona Csizmadi
- University of Calgary, Department of Oncology, Calgary, T2N 1N4, Canada.
- University of Calgary, Community Health Sciences, Calgary, T2N 1N4, Canada.
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55
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Rhee SY, Jung ES, Park HM, Jeong SJ, Kim K, Chon S, Yu SY, Woo JT, Lee CH. Plasma glutamine and glutamic acid are potential biomarkers for predicting diabetic retinopathy. Metabolomics 2018; 14:89. [PMID: 29950956 PMCID: PMC6013531 DOI: 10.1007/s11306-018-1383-3] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 06/06/2018] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Diabetic patients with a long disease duration usually accompanied complication such as diabetic retinopathy, but in some patients had no complication. OBJECTIVES We analyzed differences in plasma metabolites according to the presence or absence of diabetic retinopathy (DR) in type 2 diabetic (T2D) patients with disease duration ≥ 15 years. METHODS A cohort of 183 T2D patients was established. Their biospecimens and clinical information were collected in accordance with the guidelines of the National Biobank of Korea, and the Korean Diabetes Association. DR phenotypes of the subjects were verified by ophthalmologic specialists. Plasma metabolites were analyzed using gas chromatography time-of-flight mass spectrometry and ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. And these results were analyzed using multivariate statistics. RESULTS For metabolomic study, propensity score matched case and control subjects were chosen. Mean age of the subjects was 66.4 years and mean T2D duration was 22.2 years. Metabolomic identification revealed various carbohydrates, amino acids, and organic compounds that distinguished between age- and sex-matched non-diabetic controls and T2D subjects. Among these, glutamine and glutamic acid were suggested as the most distinctive metabolites for the presence of DR. Receiver operating characteristics curves showed an excellent diagnostic value of combined (AUC = 0.739) and the ratio (AUC = 0.742) of glutamine and glutamic acid for DR. And these results were consistent in validation analyses. CONCLUSION Our results imply that plasma glutamine, glutamic acid, and their ratio may be valuable as novel biomarkers for anticipating DR in T2D subjects.
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Affiliation(s)
- Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Eun Sung Jung
- Department of Systems Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea
| | - Hye Min Park
- Department of Systems Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea
| | - Su Jin Jeong
- Statistics Support Department, Kyung Hee University Medical Center Medical Science Research Institute, Seoul, Republic of Korea
| | - Kiyoung Kim
- Department of Ophthalmology, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Seung-Young Yu
- Department of Ophthalmology, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Jeong-Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
| | - Choong Hwan Lee
- Department of Systems Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea.
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56
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Gar C, Rottenkolber M, Prehn C, Adamski J, Seissler J, Lechner A. Serum and plasma amino acids as markers of prediabetes, insulin resistance, and incident diabetes. Crit Rev Clin Lab Sci 2017; 55:21-32. [PMID: 29239245 DOI: 10.1080/10408363.2017.1414143] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Presently, routine screening misses many cases of prediabetes and early type 2 diabetes (T2D). Therefore, better biomarkers are needed for a simple and early detection of abnormalities of glucose metabolism and prediction of future T2D. Possible candidates for this include plasma or serum amino acids because glucose and amino acid metabolism are closely connected. This review presents the available evidence of this connectivity and discusses its clinical implications. First, we examine the underlying physiological, pre-analytical, and analytical issues. Then, we summarize results of human studies that evaluate amino acid levels as markers for insulin resistance, prediabetes, and future incident T2D. Finally, we illustrate the interconnection of amino acid levels and metabolic syndrome with our own data from a deeply phenotyped human cohort. We also discuss how amino acids may contribute to the pathophysiology of T2D. We conclude that elevated branched-chain amino acids and reduced glycine are currently the most robust and consistent amino acid markers for prediabetes, insulin resistance, and future T2D. Yet, we are cautious regarding the clinical potential even of these parameters because their discriminatory power is insufficient and their levels depend not only on glycemia, but also on other components of the metabolic syndrome. The identification of more precise intermediates of amino acid metabolism or combinations with other biomarkers will, therefore, be necessary to obtain in order to develop laboratory tests that can improve T2D screening.
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Affiliation(s)
- C Gar
- a Diabetes Research Group , Medizinische Klinik und Poliklinik IV, Klinikum der Universität München , Munich , Germany.,b Clinical Cooperation Group Type 2 Diabetes , Helmholtz Zentrum München , Neuherberg , Germany.,c Deutsches Zentrum für Diabetesforschung (DZD) , Neuherberg , Germany
| | - M Rottenkolber
- a Diabetes Research Group , Medizinische Klinik und Poliklinik IV, Klinikum der Universität München , Munich , Germany.,b Clinical Cooperation Group Type 2 Diabetes , Helmholtz Zentrum München , Neuherberg , Germany.,c Deutsches Zentrum für Diabetesforschung (DZD) , Neuherberg , Germany
| | - C Prehn
- d Institute of Experimental Genetics, Genome Analysis Center , Helmholtz Zentrum München, German Research Center for Environmental Health , Neuherberg , Germany
| | - J Adamski
- c Deutsches Zentrum für Diabetesforschung (DZD) , Neuherberg , Germany.,d Institute of Experimental Genetics, Genome Analysis Center , Helmholtz Zentrum München, German Research Center for Environmental Health , Neuherberg , Germany.,e Lehrstuhl fu¨r Experimentelle Genetik , Technische Universität München , Freising , Germany
| | - J Seissler
- a Diabetes Research Group , Medizinische Klinik und Poliklinik IV, Klinikum der Universität München , Munich , Germany.,b Clinical Cooperation Group Type 2 Diabetes , Helmholtz Zentrum München , Neuherberg , Germany.,c Deutsches Zentrum für Diabetesforschung (DZD) , Neuherberg , Germany
| | - A Lechner
- a Diabetes Research Group , Medizinische Klinik und Poliklinik IV, Klinikum der Universität München , Munich , Germany.,b Clinical Cooperation Group Type 2 Diabetes , Helmholtz Zentrum München , Neuherberg , Germany.,c Deutsches Zentrum für Diabetesforschung (DZD) , Neuherberg , Germany
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57
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Savolainen O, Lind MV, Bergström G, Fagerberg B, Sandberg AS, Ross A. Biomarkers of food intake and nutrient status are associated with glucose tolerance status and development of type 2 diabetes in older Swedish women. Am J Clin Nutr 2017; 106:1302-1310. [PMID: 28903960 DOI: 10.3945/ajcn.117.152850] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 08/18/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Diet is frequently associated with both the development and prevention of type 2 diabetes (T2D), but there is a lack of objective tools for assessing the relation between diet and T2D. Biomarkers of dietary intake are unconfounded by recall and reporting bias, and using multiple dietary biomarkers could help strengthen the link between a healthy diet and the prevention of T2D.Objective: The objective of this study was to explore how diet is related to glucose tolerance status (GTS) and to future development of T2D irrespective of common T2D and cardiovascular disease risk factors by using multiple dietary biomarkers.Design: Dietary biomarkers were measured in plasma from 64-y-old Swedish women with different GTS [normal glucose tolerance (NGT; n = 190), impaired glucose tolerance (IGT; n = 209), and diabetes (n = 230)]. The same subjects were followed up after 5 y to determine changes in glucose tolerance (n = 167 for NGT, n = 174 for IGT, and n = 159 for diabetes). ANCOVA and logistic regression were used to explore baseline data for associations between dietary biomarkers, GTS, and new T2D cases at follow-up (n = 69).Results: Of the 10 dietary biomarkers analyzed, β-alanine (beef) (P-raw < 0.001), alkylresorcinols C17 and C19 (whole-grain wheat and rye) (P-raw = 0.003 and 0.011), eicosapentaenoic acid (fish) (P-raw = 0.041), 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (CMPF) (fish) (P-raw = 0.002), linoleic acid (P-raw < 0.001), oleic acid (P-raw = 0.003), and α-tocopherol (margarine and vegetable oil) (P-raw < 0.001) were associated with GTS, and CMPF (fish) (OR: 0.72; 95% CI: 0.56, 0.93; P-raw = 0.013) and α-tocopherol (OR: 0.71; 95% CI: 0.51, 0.98; P-raw = 0.041) were inversely associated with future T2D development.Conclusions: Several circulating dietary biomarkers were strongly associated with GTS after correction for known T2D risk factors, underlining the role of diet in the development and prevention of T2D. To our knowledge, this study is the first to use multiple dietary biomarkers to investigate the link between diet and disease risk.
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Affiliation(s)
- Otto Savolainen
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Mads Vendelbo Lind
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.,Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark; and
| | - Göran Bergström
- Wallenberg Laboratory for Cardiovascular Research at the Center for Cardiovascular and Metabolic Research, Institute of Medicine, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
| | - Björn Fagerberg
- Wallenberg Laboratory for Cardiovascular Research at the Center for Cardiovascular and Metabolic Research, Institute of Medicine, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
| | - Ann-Sofie Sandberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Alastair Ross
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden;
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58
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Okekunle AP, Li Y, Liu L, Du S, Wu X, Chen Y, Li Y, Qi J, Sun C, Feng R. Abnormal circulating amino acid profiles in multiple metabolic disorders. Diabetes Res Clin Pract 2017; 132:45-58. [PMID: 28783532 DOI: 10.1016/j.diabres.2017.07.023] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 06/02/2017] [Accepted: 07/13/2017] [Indexed: 01/15/2023]
Abstract
AIM To evaluate circulating amino acids (AA) profiles in obesity, type 2 diabetes (T2D) and metabolic syndrome (MetS). METHODS Serum AA were profiled among 200; healthy, obese, T2D and MetS subjects matched by sex, age and BMI using ultra-high performance liquid chromatography tandem quadruple mass spectrometry (UPLC-TQ-MS). A meta-analysis, including 47 case-control studies (including the current study) on serum AA in obesity, T2D and MetS searched through October 2016 was conducted to explore the AA differences in obesity, T2D and MetS. RESULTS In comparison with healthy controls, 14 AA (10 increased and 4 decreased) were significantly altered (P<0.05) in all non-healthy subjects. Also, mean differences of valine (obese: 34.13 [27.70, 40.56]µmol/L, P<0.001, T2D: 19.49 [3.31, 35.68]µmol/L, P<0.05, MetS: 29.18 [16.04, 42.33]µmol/L, P<0.001), glutamic acid (obese: 18.62 [11.64, 25.61]µmol/L, P<0.001, T2D: 19.94 [0.28, 39.61]µmol/L, P<0.05, MetS: 12.45 [3.98, 20.91]µmol/L, P<0.001), proline (obese: 16.72 [6.20, 27.24]µmol/L, P<0.001, T2D: 20.72 [15.82, 25.61]µmol/L, P<0.001, MetS: 29.95 [25.18, 34.71]µmol/L, P<0.001) and isoleucine (obese: 11.39 [8.54, 14.24]µmol/L, P<0.001, T2D: 7.37 [1.52, 13.22]µmol/L, P<0.05, MetS: 10.40 [4.90, 15.89]µmol/L, P<0.001) were significantly higher compared to healthy controls. Similarly, mean differences of glycine (obese: -30.99 [-39.69, -22.29]µmol/L, P<0.001, T2D: -30.37 [-41.80, -18.94]µmol/L, P<0.001 and MetS: -35.24 [-39.28, -31.21]µmol/L, P<0.001) were significantly lower compared to healthy controls. CONCLUSION In both the case-control study and meta-analysis, obesity was related to the most circulating AA changes, followed by MetS and T2D. Valine, isoleucine, glutamic acid and proline increased, while Glycine decreased in all metabolic disorders.
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Shanshan Du
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Xiaoyan Wu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Yang Chen
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Yanchuan Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Jiayue Qi
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China.
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China.
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59
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Song Y, Xu C, Kuroki H, Liao Y, Tsunoda M. Recent trends in analytical methods for the determination of amino acids in biological samples. J Pharm Biomed Anal 2017; 147:35-49. [PMID: 28927726 DOI: 10.1016/j.jpba.2017.08.050] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 08/25/2017] [Accepted: 08/26/2017] [Indexed: 12/13/2022]
Abstract
Amino acids are widely distributed in biological fluids and involved in many biological processes, such as the synthesis of proteins, fatty acids, and ketone bodies. The altered levels of amino acids in biological fluids have been found to be closely related to several diseases, such as type 2 diabetes, kidney disease, liver disease, and cancer. Therefore, the development of analytical methods to measure amino acid concentrations in biological samples can contribute to research on the physiological actions of amino acids and the prediction, diagnosis and understanding of diseases. This review describes the analytical methods reported in 2012-2016 that utilized liquid chromatography and capillary electrophoresis coupled with ultraviolet, fluorescence, mass spectrometry, and electrochemical detection. Additionally, the relationship between amino acid concentrations and several diseases is also summarized.
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Affiliation(s)
- Yanting Song
- Key Laboratory of Tropic Biological Resources, Minister of Education, Department of Pharmaceutical Sciences, College of Marine Science, Hainan University, Haikou 570228, China
| | - Chang Xu
- Key Laboratory of Tropic Biological Resources, Minister of Education, Department of Pharmaceutical Sciences, College of Marine Science, Hainan University, Haikou 570228, China
| | - Hiroshi Kuroki
- Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo 1130033, Japan
| | - Yiyi Liao
- Key Laboratory of Tropic Biological Resources, Minister of Education, Department of Pharmaceutical Sciences, College of Marine Science, Hainan University, Haikou 570228, China
| | - Makoto Tsunoda
- Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo 1130033, Japan.
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60
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Tam ZY, Ng SP, Tan LQ, Lin CH, Rothenbacher D, Klenk J, Boehm BO. Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus. Sci Rep 2017; 7:4392. [PMID: 28663594 PMCID: PMC5491522 DOI: 10.1038/s41598-017-01735-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 03/30/2017] [Indexed: 12/31/2022] Open
Abstract
Regulation of blood glucose requires precise coordination between different endocrine systems and multiple organs. Type 2 diabetes mellitus (T2D) arises from a dysregulated response to elevated glucose levels in the circulation. Globally, the prevalence of T2D has increased dramatically in all age groups. T2D in older adults is associated with higher mortality and reduced functional status, leading to higher rate of institutionalization. Despite the potential healthcare challenges associated with the presence of T2D in the elderly, the pathogenesis and phenotype of late-onset T2D is not well studied. Here we applied untargeted metabolite profiling of urine samples from people with and without late-onset T2D using ultra-performance liquid-chromatography mass-spectrometry (UPLC-MS) to identify urinary biomarkers for late-onset T2D in the elderly. Statistical modeling of measurements and thorough validation of structural assignment using liquid chromatography tandem mass-spectrometry (LC-MS/MS) have led to the identification of metabolite biomarkers associated with late-onset T2D. Lower levels of phenylalanine, acetylhistidine, and cyclic adenosine monophosphate (cAMP) were found in urine samples of T2D subjects validated with commercial standards. Elevated levels of 5′-methylthioadenosine (MTA), which previously has only been implicated in animal model of diabetes, was found in urine of older people with T2D.
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Affiliation(s)
- Zhi Yang Tam
- Singapore Phenome Center, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore
| | - Sean Pin Ng
- Singapore Phenome Center, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore
| | - Ling Qiao Tan
- Singapore Phenome Center, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore
| | - Chih-Hsien Lin
- Singapore Phenome Center, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore
| | - Dietrich Rothenbacher
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstrasse 22, 89081, Ulm, Germany
| | - Jochen Klenk
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstrasse 22, 89081, Ulm, Germany.,Department of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstrasse 110, 70376, Stuttgart, Germany
| | - Bernhard Otto Boehm
- Singapore Phenome Center, Experimental Medicine Building, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore. .,Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore. .,Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, UK. .,Department of Internal Medicine I, Ulm University Medical Centre, Ulm University, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
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Geidenstam N, Al-Majdoub M, Ekman M, Spégel P, Ridderstråle M. Metabolite profiling of obese individuals before and after a one year weight loss program. Int J Obes (Lond) 2017; 41:1369-1378. [PMID: 28529327 DOI: 10.1038/ijo.2017.124] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 04/19/2017] [Accepted: 05/03/2017] [Indexed: 11/09/2022]
Abstract
OBJECTIVE We and others have previously characterized changes in circulating metabolite levels following diet-induced weight loss. Our aim was to investigate whether baseline metabolite levels and weight-loss-induced changes in these are predictive of or associated with changes in body mass index (BMI) and metabolic risk traits. METHODS Serum metabolites were analyzed with gas and liquid chromatography/mass spectrometry in 91 obese individuals at baseline and after participating in a 1 year non-surgical weight loss program.ResultsA total of 137 metabolites were identified and semi-quantified at baseline (BMI 42.7±5.8, mean±s.d.) and at follow-up (BMI 36.3±6.6). Weight-loss-induced modification was observed for levels of 57 metabolites in individuals with ⩾10% weight loss. Lower baseline levels of xylitol was predictive of a greater decrease in BMI (β=0.06, P<0.01) and ⩾10% weight loss (odds ratio (OR)=0.2, confidence interval (CI)=0.07-0.7, P=0.01). Decreases in levels of isoleucine, leucine, valine and tyrosine were associated with decrease in BMI (β>0.1, P<0.05) and ⩾10% weight loss (isoleucine: OR=0.08, CI=0.01-0.3, leucine: OR=0.1, CI=0.01-0.6, valine: OR=0.1, CI=0.02-0.5, tyrosine: OR=0.1, CI=0.03-0.6, P<0.02). CONCLUSIONS Diet-induced weight loss leads to mainly reduced levels of metabolites that are elevated in obese insulin resistant individuals. We identified multiple new associations with metabolic risk factors and validated several previous findings related to weight loss-mediated metabolite changes. Levels of specific metabolites, such as xylitol, may be predictive of the response to non-surgical weight loss already at baseline.
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Affiliation(s)
- N Geidenstam
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - M Al-Majdoub
- Department of Clinical Sciences Malmö, Unit of Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - M Ekman
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - P Spégel
- Department of Clinical Sciences Malmö, Unit of Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden.,Department of Chemistry, Centre for Analysis and Synthesis, Lund University, Lund, Sweden
| | - M Ridderstråle
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden.,Steno Diabetes Center A/S, Gentofte, Denmark.,Novo Nordisk A/S, Søborg, Denmark
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Du S, Sun S, Liu L, Zhang Q, Guo F, Li C, Feng R, Sun C. Effects of Histidine Supplementation on Global Serum and Urine 1H NMR-based Metabolomics and Serum Amino Acid Profiles in Obese Women from a Randomized Controlled Study. J Proteome Res 2017; 16:2221-2230. [DOI: 10.1021/acs.jproteome.7b00030] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Shanshan Du
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Shuhong Sun
- Department
of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, Harbin 150001, Heilongjiang Province, China
| | - Liyan Liu
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Qiao Zhang
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Fuchuan Guo
- Department
of Nutrition and Food Safety, School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, University
Town, Fuzhou 350122, Fujian Province, China
| | - Chunlong Li
- Department
of General Surgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Rennan Feng
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Changhao Sun
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
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63
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An excessive increase in glutamate contributes to glucose-toxicity in β-cells via activation of pancreatic NMDA receptors in rodent diabetes. Sci Rep 2017; 7:44120. [PMID: 28303894 PMCID: PMC5356012 DOI: 10.1038/srep44120] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 02/06/2017] [Indexed: 01/21/2023] Open
Abstract
In the nervous system, excessive activation of NMDA receptors causes neuronal injury. Although activation of NMDARs has been proposed to contribute to the progress of diabetes, little is known about the effect of excessive long-term activation of NMDARs on β-cells, especially under the challenge of hyperglycemia. Here we thoroughly investigated whether endogenous glutamate aggravated β-cell dysfunction under chronic exposure to high-glucose via activation of NMDARs. The glutamate level was increased in plasma of diabetic mice or patients and in the supernatant of β-cell lines after treatment with high-glucose for 72 h. Decomposing the released glutamate improved GSIS of β-cells under chronic high-glucose exposure. Long-term treatment of β-cells with NMDA inhibited cell viability and decreased GSIS. These effects were eliminated by GluN1 knockout. The NMDAR antagonist MK-801 or GluN1 knockout prevented high-glucose-induced dysfunction in β-cells. MK-801 also decreased the expression of pro-inflammatory cytokines, and inhibited I-κB degradation, ROS generation and NLRP3 inflammasome expression in β-cells exposed to high-glucose. Furthermore, another NMDAR antagonist, Memantine, improved β-cells function in diabetic mice. Taken together, these findings indicate that an increase of glutamate may contribute to the development of diabetes through excessive activation of NMDARs in β-cells, accelerating β-cells dysfunction and apoptosis induced by hyperglycemia.
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64
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Green TN, Hamilton JR, Morel-Kopp MC, Zheng Z, Chen TYT, Hearn JI, Sun PP, Flanagan JU, Young D, Barber PA, During MJ, Ward CM, Kalev-Zylinska ML. Inhibition of NMDA receptor function with an anti-GluN1-S2 antibody impairs human platelet function and thrombosis. Platelets 2017; 28:799-811. [PMID: 28277064 DOI: 10.1080/09537104.2017.1280149] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
GluN1 is a mandatory component of N-methyl-D-aspartate receptors (NMDARs) best known for their roles in the brain, but with increasing evidence for relevance in peripheral tissues, including platelets. Certain anti-GluN1 antibodies reduce brain infarcts in rodent models of ischaemic stroke. There is also evidence that human anti-GluN1 autoantibodies reduce neuronal damage in stroke patients, but the underlying mechanism is unclear. This study investigated whether anti-GluN1-mediated neuroprotection involves inhibition of platelet function. Four commercial anti-GluN1 antibodies were screened for their abilities to inhibit human platelet aggregation. Haematological parameters were examined in rats vaccinated with GluN1. Platelet effects of a mouse monoclonal antibody targeting the glycine-binding region of GluN1 (GluN1-S2) were tested in assays of platelet activation, aggregation and thrombus formation. The epitope of anti-GluN1-S2 was mapped and the mechanism of antibody action modelled using crystal structures of GluN1. Our work found that rats vaccinated with GluN1 had a mildly prolonged bleeding time and carried antibodies targeting mostly GluN1-S2. The monoclonal anti-GluN1-S2 antibody (from BD Biosciences) inhibited activation and aggregation of human platelets in the presence of adrenaline, adenosine diphosphate, collagen, thrombin and a protease-activated receptor 1-activating peptide. When human blood was flowed over collagen-coated surfaces, anti-GluN1-S2 impaired thrombus growth and stability. The epitope of anti-GluN1-S2 was mapped to α-helix H located within the glycine-binding clamshell of GluN1, where the antibody binding was computationally predicted to impair opening of the NMDAR channel. Our results indicate that anti-GluN1-S2 inhibits function of human platelets, including dense granule release and thrombus growth. Findings add to the evidence that platelet NMDARs regulate thrombus formation and suggest a novel mechanism by which anti-GluN1 autoantibodies limit stroke-induced neuronal damage.
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Affiliation(s)
- Taryn N Green
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand
| | - Justin R Hamilton
- b Australian Centre for Blood Diseases, Monash University , Melbourne , Australia
| | - Marie-Christine Morel-Kopp
- c Department of Haematology and Transfusion Medicine , Royal North Shore Hospital , Sydney , Australia.,d Northern Blood Research Centre, Kolling Institute, University of Sydney , Sydney , Australia
| | - Zhaohua Zheng
- b Australian Centre for Blood Diseases, Monash University , Melbourne , Australia
| | - Ting-Yu T Chen
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand.,e Department of Pharmacology and Clinical Pharmacology , University of Auckland , Auckland , New Zealand
| | - James I Hearn
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand
| | - Peng P Sun
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand
| | - Jack U Flanagan
- f Auckland Cancer Society Research Centre, University of Auckland , Auckland , New Zealand.,g Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland , Auckland , New Zealand
| | - Deborah Young
- e Department of Pharmacology and Clinical Pharmacology , University of Auckland , Auckland , New Zealand
| | - P Alan Barber
- h Department of Neurology , Auckland City Hospital , Auckland , New Zealand.,i Centre for Brain Research , University of Auckland , Auckland , New Zealand
| | - Matthew J During
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand.,j Departments of Molecular Virology, Immunology and Medical Genetics , Neuroscience and Neurological Surgery, Ohio State University , Columbus , OH , USA
| | - Christopher M Ward
- c Department of Haematology and Transfusion Medicine , Royal North Shore Hospital , Sydney , Australia.,d Northern Blood Research Centre, Kolling Institute, University of Sydney , Sydney , Australia
| | - Maggie L Kalev-Zylinska
- a Department of Molecular Medicine and Pathology , University of Auckland , Auckland , New Zealand.,k LabPlus Haematology , Auckland City Hospital , Auckland , New Zealand
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Geidenstam N, Magnusson M, Danielsson APH, Gerszten RE, Wang TJ, Reinius LE, Mulder H, Melander O, Ridderstråle M. Amino Acid Signatures to Evaluate the Beneficial Effects of Weight Loss. Int J Endocrinol 2017; 2017:6490473. [PMID: 28484491 PMCID: PMC5412138 DOI: 10.1155/2017/6490473] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 02/10/2017] [Accepted: 02/27/2017] [Indexed: 11/17/2022] Open
Abstract
Aims. We investigated the relationship between circulating amino acid levels and obesity; to what extent weight loss followed by weight maintenance can correct amino acid abnormalities; and whether amino acids are related to weight loss. Methods. Amino acids associated with waist circumference (WC) and BMI were studied in 804 participants from the Malmö Diet and Cancer Cardiovascular Cohort (MDC-CC). Changes in amino acid levels were analyzed after weight loss and weight maintenance in 12 obese subjects and evaluated in a replication cohort (n = 83). Results. Out of the eight identified BMI-associated amino acids from the MDC-CC, alanine, isoleucine, tyrosine, phenylalanine, and glutamate decreased after weight loss, while asparagine increased after weight maintenance. These changes were validated in the replication cohort. Scores that were constructed based on obesity-associated amino acids and known risk factors decreased in the ≥10% weight loss group with an associated change in BMI (R2 = 0.16-0.22, p < 0.002), whereas the scores increased in the <10% weight loss group (p < 0.0004). Conclusions. Weight loss followed by weight maintenance leads to differential changes in amino acid levels associated with obesity. Treatment modifiable scores based on epidemiological and interventional data may be used to evaluate the potential metabolic benefit of weight loss.
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Affiliation(s)
- Nina Geidenstam
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- *Nina Geidenstam:
| | - Martin Magnusson
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Anders P. H. Danielsson
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - Robert E. Gerszten
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas J. Wang
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lovisa E. Reinius
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institute, Stockholm, Sweden
| | - Hindrik Mulder
- Department of Clinical Sciences Malmö, Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
- Center of Emergency Medicine, Skåne University Hospital, Malmö, Sweden
| | - Martin Ridderstråle
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- Steno Diabetes Center A/S, Gentofte, Denmark
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Qiu G, Zheng Y, Wang H, Sun J, Ma H, Xiao Y, Li Y, Yuan Y, Yang H, Li X, Min X, Zhang C, Xu C, Jiang Y, Zhang X, He M, Yang M, Hu Z, Tang H, Shen H, Hu FB, Pan A, Wu T. Plasma metabolomics identified novel metabolites associated with risk of type 2 diabetes in two prospective cohorts of Chinese adults. Int J Epidemiol 2016; 45:1507-1516. [PMID: 27694567 DOI: 10.1093/ije/dyw221] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/12/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Metabolomics studies in Caucasians have identified a number of novel metabolites in association with the risk of type 2 diabetes (T2D). However, few prospective metabolomic studies are available in Chinese populations. In the present study, we sought to identify novel metabolites consistently associated with incident T2D in two independent cohorts of Chinese adults. METHODS We performed targeted metabolomics (52 metabolites) of fasting plasma samples by liquid chromatography-mass spectrometry in two prospective case-control studies nested within the Dongfeng-Tongji (DFTJ) cohort and Jiangsu Non-communicable Disease (JSNCD) cohort. After following for 4.61 ± 0.15 and 7.57 ± 1.13 years, respectively, 1039 and 520 eligible participants developed incident T2D in these two cohorts, and controls were 1:1 matched with cases by age (± 5 years) and sex. Multivariate conditional logistic regression models were constructed to identify metabolites associated with future T2D risk in both cohorts. RESULTS We identified four metabolites consistently associated with an increased risk of developing T2D in the two cohorts, including alanine, phenylalanine, tyrosine and palmitoylcarnitine. In the meta-analysis of two cohorts, the odds ratios (95% confidence intervals, CIs) comparing extreme quartiles were 1.79 (1.32-2.42) for alanine, 1.91 (1.41-2.60) for phenylalanine, 1.85 (1.37-2.48) for tyrosine and 1.63 (1.21-2.20) for palmitoylcarnitine (all Ptrend ≤ 0.01). CONCLUSIONS We confirmed the association of alanine, phenylalanine and tyrosine with future T2D risk and further identified palmitoylcarnitine as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults. Our findings might provide new aetiological insight into the development of T2D.
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Affiliation(s)
- Gaokun Qiu
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zheng
- Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hao Wang
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Sun
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yang Xiao
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Yizhun Li
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yuan
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiulou Li
- Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Xinwen Min
- Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Ce Zhang
- Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Chengwei Xu
- Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Yue Jiang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Ming Yang
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China and.,CAS Key Laboratory of Magnetic Resonance in Biological Systems, University of Chinese Academy of Sciences, Wuhan, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Frank B Hu
- Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - An Pan
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China,
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China,
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D'mello SAN, Joseph WR, Green TN, Leung EY, During MJ, Finlay GJ, Baguley BC, Kalev-Zylinska ML. Selected GRIN2A mutations in melanoma cause oncogenic effects that can be modulated by extracellular glutamate. Cell Calcium 2016; 60:384-395. [PMID: 27659111 DOI: 10.1016/j.ceca.2016.09.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 08/29/2016] [Accepted: 09/13/2016] [Indexed: 02/09/2023]
Abstract
GRIN2A mutations are frequent in melanoma tumours but their role in disease is not well understood. GRIN2A encodes a modulatory subunit of the N-methyl-d-aspartate receptor (NMDAR). We hypothesized that certain GRIN2A mutations increase NMDAR function and support melanoma growth through oncogenic effects. This hypothesis was tested using 19 low-passage melanoma cell lines, four of which carried novel missense mutations in GRIN2A that we previously reported. We examined NMDAR expression, function of a calcium ion (Ca2+) channel and its contribution to cell growth using pharmacological modulators; findings were correlated with the presence or absence of GRIN2A mutations. We found that NMDAR expression was low in all melanoma cell lines, independent of GRIN2A mutations. In keeping with this, NMDAR-mediated Ca2+ influx and its contribution to cell proliferation were weak in most cell lines. However, certain GRIN2A mutations and culture media with lower glutamate levels enhanced NMDAR effects on cell growth and invasion. The main finding was that G762E was associated with higher glutamate-mediated Ca2+ influx and stronger NMDAR contribution to cell proliferation, compared with wild-type GRIN2A and other GRIN2A mutations. The pro-invasive phenotype of mutated cell lines was increased in culture medium containing less glutamate, implying environmental modulation of mutation effects. In conclusion, NMDAR ion channel function is low in cultured melanoma cells but supports cell proliferation and invasion. Selected GRIN2A mutations, such as G762E, are associated with oncogenic consequences that can be modulated by extracellular glutamate. Primary cultures may be better suited to determine the role of the NMDAR in melanoma in vivo.
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Affiliation(s)
- Stacey Ann N D'mello
- Department of Molecular Medicine and Pathology, University of Auckland, Private Bag 92019, Auckland, New Zealand; Auckland Cancer Society Research Centre, University of Auckland, Auckland, Private Bag 92019, Auckland, New Zealand
| | - Wayne R Joseph
- Auckland Cancer Society Research Centre, University of Auckland, Auckland, Private Bag 92019, Auckland, New Zealand
| | - Taryn N Green
- Department of Molecular Medicine and Pathology, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Euphemia Y Leung
- Auckland Cancer Society Research Centre, University of Auckland, Auckland, Private Bag 92019, Auckland, New Zealand
| | - Matthew J During
- Cancer Genetics and Neuroscience Program, Department of Molecular Virology, Immunology and Medical Genetics, The Ohio State University, Columbus, OH 43210, United States
| | - Graeme J Finlay
- Department of Molecular Medicine and Pathology, University of Auckland, Private Bag 92019, Auckland, New Zealand; Auckland Cancer Society Research Centre, University of Auckland, Auckland, Private Bag 92019, Auckland, New Zealand
| | - Bruce C Baguley
- Auckland Cancer Society Research Centre, University of Auckland, Auckland, Private Bag 92019, Auckland, New Zealand
| | - Maggie L Kalev-Zylinska
- Department of Molecular Medicine and Pathology, University of Auckland, Private Bag 92019, Auckland, New Zealand; LabPlus Haematology, Auckland City Hospital, Private Bag 92024, Auckland, New Zealand.
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68
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Physiological Roles of Non-Neuronal NMDA Receptors. Trends Pharmacol Sci 2016; 37:750-767. [DOI: 10.1016/j.tips.2016.05.012] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 05/23/2016] [Accepted: 05/27/2016] [Indexed: 12/14/2022]
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69
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de Oliveira FA, Shahin MH, Gong Y, McDonough CW, Beitelshees AL, Gums JG, Chapman AB, Boerwinkle E, Turner ST, Frye RF, Fiehn O, Kaddurah-Daouk R, Johnson JA, Cooper-DeHoff RM. Novel plasma biomarker of atenolol-induced hyperglycemia identified through a metabolomics-genomics integrative approach. Metabolomics 2016; 12:129. [PMID: 28217400 PMCID: PMC5310671 DOI: 10.1007/s11306-016-1076-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
INTRODUCTION While atenolol is an effective antihypertensive agent, its use is also associated with adverse events including hyperglycemia and incident diabetes that may offset the benefits of blood pressure lowering. By combining metabolomic and genomic data acquired from hypertensive individuals treated with atenolol, it may be possible to better understand the pathways that most impact the development of an adverse glycemic state. OBJECTIVE To identify biomarkers that can help predict susceptibility to blood glucose excursions during exposure to atenolol. METHODS Plasma samples acquired from 234 Caucasian participants treated with atenolol in the Pharmacogenomic Evaluation of Antihypertensive Responses trial were analyzed by gas chromatography Time-Of-Flight Mass Spectroscopy. Metabolomics and genomics data were integrated by first correlating participant's metabolomic profiles to change in glucose after treatment with atenolol, and then incorporating genotype information from genes involved in metabolite pathways associated with glucose response. RESULTS Our findings indicate that the baseline level of β-alanine was associated with glucose change after treatment with atenolol (Q = 0.007, β = 2.97 mg/dL). Analysis of genomic data revealed that carriers of the G allele for SNP rs2669429 in gene DPYS, which codes for dihydropyrimidinase, an enzyme involved in β-alanine formation, had significantly higher glucose levels after treatment with atenolol when compared with non-carriers (Q = 0.05, β = 2.76 mg/dL). This finding was replicated in participants who received atenolol as an add-on therapy (P = 0.04, β = 1.86 mg/dL). CONCLUSION These results suggest that β-alanine and rs2669429 may be predictors of atenolol-induced hyperglycemia in Caucasian individuals and further investigation is warranted.
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Affiliation(s)
- Felipe A de Oliveira
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | - Mohamed H Shahin
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | | | - John G Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA; Department of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Eric Boerwinkle
- Human Genetics Center and Institute for Molecular Medicine, University of Texas Health Science Center, Houston, TX, USA
| | | | - Reginald F Frye
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | - Oliver Fiehn
- Genome Center, University of California at Davis, Davis, CA, USA; Biochemistry Department, King Abdullah University, Jeddah, Saudi Arabia
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA
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Klepacki J, Klawitter J, Klawitter J, Karimpour-Fard A, Thurman J, Ingle G, Patel D, Christians U. Amino acids in a targeted versus a non-targeted metabolomics LC-MS/MS assay. Are the results consistent? Clin Biochem 2016; 49:955-61. [PMID: 27288551 DOI: 10.1016/j.clinbiochem.2016.06.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 06/03/2016] [Accepted: 06/04/2016] [Indexed: 01/18/2023]
Abstract
BACKGROUND The results of plasma amino acid patterns in samples from kidney transplant patients with good and impaired renal function using a targeted LC-MS/MS amino acid assay and a non-targeted metabolomics assay were compared. METHODS EDTA plasma samples were prospectively collected at baseline, 1, 2, 4 and 6months post-transplant (n=116 patients, n=398 samples). Each sample was analyzed using both a commercial amino acid LC-MS/MS assay and a non-targeted metabolomics assay also based on MS/MS ion transitions. The results of both assays were independently statistically analyzed to identify amino acids associated with estimated glomerular filtration rates using correlation and partial least squares-discriminant analysis. RESULTS Although there was overlap between the results of the targeted and non-targeted metabolomics assays (tryptophan, 1-methyl histidine), there were also substantial inconsistencies, with the non-targeted assay resulting in more "hits" than the targeted assay. Without further verification of the hits detected by the non-targeted discovery assay, this would have led to different interpretation of the results. There were also false negative results when the non-targeted assay was used (hydroxy proline). Several of said discrepancies could be explained by loss of sensitivity during analytical runs for selected amino acids (serine and threonine), retention time shifts, signals above the range of linear detector response and integration of peaks not separated from background and interferences (aspartate) when the non-targeted metabolomics assay was used. CONCLUSIONS Whenever assessment of a specific pathway such as amino acids is the focus of interest, a targeted seems preferable to a non-targeted metabolomics assay.
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Affiliation(s)
- Jacek Klepacki
- iC42 Clinical Research and Development, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
| | - Jost Klawitter
- iC42 Clinical Research and Development, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jelena Klawitter
- iC42 Clinical Research and Development, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Anis Karimpour-Fard
- Center for Computational Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Joshua Thurman
- Division of Nephrology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Gordon Ingle
- Novartis Pharmaceuticals, East Hanover, NJ, United States
| | - Dharmesh Patel
- Novartis Pharmaceuticals, East Hanover, NJ, United States
| | - Uwe Christians
- iC42 Clinical Research and Development, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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71
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Knebel B, Strassburger K, Szendroedi J, Kotzka J, Scheer M, Nowotny B, Müssig K, Lehr S, Pacini G, Finner H, Klüppelholz B, Giani G, Al-Hasani H, Roden M. Specific Metabolic Profiles and Their Relationship to Insulin Resistance in Recent-Onset Type 1 and Type 2 Diabetes. J Clin Endocrinol Metab 2016; 101:2130-40. [PMID: 26829444 DOI: 10.1210/jc.2015-4133] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
CONTEXT Insulin resistance reflects the inadequate insulin-mediated use of metabolites and predicts type 2 diabetes (T2D) but is also frequently seen in long-standing type 1 diabetes (T1D) and represents a major cardiovascular risk factor. OBJECTIVE We hypothesized that plasma metabolome profiles allow the identification of unique and common early biomarkers of insulin resistance in both diabetes types. DESIGN, SETTING, AND PATIENTS Two hundred ninety-five plasma metabolites were analyzed by mass spectrometry from patients of the prospective observational German Diabetes Study with T2D (n = 244) or T1D (n = 127) and known diabetes duration of less than 1 year and glucose-tolerant persons (CON; n = 129). Abundance of metabolites was tested for association with insulin sensitivity as assessed by hyperinsulinemic-euglycemic clamps and related metabolic phenotypes. MAIN OUTCOMES MEASURES Sixty-two metabolites with phenotype-specific patterns were identified using age, sex, and body mass index as covariates. RESULTS Compared with CON, the metabolome of T2D and T1D showed similar alterations in various phosphatidylcholine species and amino acids. Only T2D exhibited differences in free fatty acids compared with CON. Pairwise comparison of metabolites revealed alterations of 28 and 49 metabolites in T1D and T2D, respectively, when compared with CON. Eleven metabolites allowed differentiation between both diabetes types and alanine, α-amino-adipic acid, isoleucin, and stearic acid showed an inverse association with insulin sensitivity in both T2D and T1D combined. CONCLUSION Metabolome analyses from recent-onset T2D and T1D patients enables identification of defined diabetes type-specific differences and detection of biomarkers of insulin sensitivity. These analyses may help to identify novel clinical subphenotypes diabetes.
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Affiliation(s)
- Birgit Knebel
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Klaus Strassburger
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Julia Szendroedi
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Jorg Kotzka
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Marsel Scheer
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Bettina Nowotny
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Karsten Müssig
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Stefan Lehr
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Giovanni Pacini
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Helmut Finner
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Birgit Klüppelholz
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Guido Giani
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Hadi Al-Hasani
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
| | - Michael Roden
- Institute for Clinical Biochemistry and Pathobiochemistry (B.Kn., J.K., S.L., H.-A.H.), Institute for Biometrics and Epidemiology (K.S., M.S., H.F., B.Kl., G.G.), Institute for Clinical Diabetology (J.S., B.N., K.M., M.R.), German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, and Department of Endocrinology and Diabetology (J.S., B.N., K.M., M.R.), Medical Faculty, Heinrich Heine University 40225 Duesseldorf, Germany; German Center for Diabetes Research (B.Kn., K.S., J.S., J.K., M.S., B.N., K.M., S.L., H.F., B.Kl., G.G., H.-A.H., M.R.), 85764 Muenchen-Neuherberg, Germany; and Metabolic Unit (G.P.), Institute of Neuroscience, Research Program on Aging of the Italian Research Council, 35127 Padua, Italy
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Guasch-Ferré M, Hruby A, Toledo E, Clish CB, Martínez-González MA, Salas-Salvadó J, Hu FB. Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis. Diabetes Care 2016; 39:833-46. [PMID: 27208380 PMCID: PMC4839172 DOI: 10.2337/dc15-2251] [Citation(s) in RCA: 587] [Impact Index Per Article: 73.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 02/06/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To conduct a systematic review of cross-sectional and prospective human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on prediabetes and type 2 diabetes. RESEARCH DESIGN AND METHODS We searched MEDLINE and EMBASE databases through August 2015. We conducted a qualitative review of cross-sectional and prospective studies. Additionally, meta-analyses of metabolite markers, with data estimates from at least three prospective studies, and type 2 diabetes risk were conducted, and multivariable-adjusted relative risks of type 2 diabetes were calculated per study-specific SD difference in a given metabolite. RESULTS We identified 27 cross-sectional and 19 prospective publications reporting associations of metabolites and prediabetes and/or type 2 diabetes. Carbohydrate (glucose and fructose), lipid (phospholipids, sphingomyelins, and triglycerides), and amino acid (branched-chain amino acids, aromatic amino acids, glycine, and glutamine) metabolites were higher in individuals with type 2 diabetes compared with control subjects. Prospective studies provided evidence that blood concentrations of several metabolites, including hexoses, branched-chain amino acids, aromatic amino acids, phospholipids, and triglycerides, were associated with the incidence of prediabetes and type 2 diabetes. We meta-analyzed results from eight prospective studies that reported risk estimates for metabolites and type 2 diabetes, including 8,000 individuals of whom 1,940 had type 2 diabetes. We found 36% higher risk of type 2 diabetes per study-specific SD difference for isoleucine (pooled relative risk 1.36 [1.24-1.48]; I(2) = 9.5%), 36% for leucine (1.36 [1.17-1.58]; I(2) = 37.4%), 35% for valine (1.35 [1.19-1.53]; I(2) = 45.8%), 36% for tyrosine (1.36 [1.19-1.55]; I(2) = 51.6%), and 26% for phenylalanine (1.26 [1.10-1.44]; I(2) = 56%). Glycine and glutamine were inversely associated with type 2 diabetes risk (0.89 [0.81-0.96] and 0.85 [0.82-0.89], respectively; both I(2) = 0.0%). CONCLUSIONS In studies using high-throughput metabolomics, several blood amino acids appear to be consistently associated with the risk of developing type 2 diabetes.
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Affiliation(s)
- Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA Human Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Institute for Health Research, Rovira i Virgili University, Reus, Spain CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Adela Hruby
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain Department of Preventive Medicine and Public Health, University of Navarra, Health Research Institute of Navarra, Pamplona, Spain
| | | | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain Department of Preventive Medicine and Public Health, University of Navarra, Health Research Institute of Navarra, Pamplona, Spain
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Institute for Health Research, Rovira i Virgili University, Reus, Spain CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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Geidenstam N, Danielsson APH, Spégel P, Ridderstråle M. Changes in glucose-elicited blood metabolite responses following weight loss and long term weight maintenance in obese individuals with impaired glucose tolerance. Diabetes Res Clin Pract 2016; 113:187-97. [PMID: 26809903 DOI: 10.1016/j.diabres.2015.12.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 11/18/2015] [Accepted: 12/24/2015] [Indexed: 01/05/2023]
Abstract
AIMS Weight loss improves insulin sensitivity and glucose tolerance in obese subjects with impaired glucose tolerance (IGT), but the long term dynamic effects on blood metabolites other than glucose during an oral glucose tolerance test (OGTT), are largely unknown. Here, we studied changes in OGTT-elicited metabolite patterns in obese subjects during a diet-induced weight loss study. METHODS Blood samples from 14 obese individuals with IGT were collected at 0, 30 and 120 min during a standard 75 g OGTT at baseline (BMI 44 ± 2 kg/m(2)), after weight loss (BMI 36 ± 2 kg/m(2)) and after weight maintenance (BMI 35 ± 2 kg/m(2)). Serum metabolite levels were analyzed by gas chromatography/mass spectrometry and compared to a lean glucose tolerant group. RESULTS Changes in the OGTT-elicited metabolite patterns occurred differentially during weight loss and weight maintenance. Enhanced suppression of aromatic amino acids were associated with decreased insulinogenic index observed after weight loss (tyrosine: r=0.72, p=0.013; phenylalanine: r=0.63, p=0.039). The OGTT-elicited suppression and/or lack of increase in levels of glutamate, glutamine, isoleucine, leucine, and the fatty acids laurate, oleate and palmitate, improved towards the lean profile after weight maintenance, paralleling an improvement in glucose tolerance. The greater heterogeneity in the response before and after weight loss in the obese, compared to lean subjects, was markedly reduced after weight maintenance. CONCLUSIONS Diet-induced weight loss followed by weight maintenance results in changes in metabolite profiles associated with either hepatic insulin sensitivity or peripheral glucose tolerance. Our results highlight the importance of evaluating the effects of weight loss and weight maintenance separately.
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Affiliation(s)
- Nina Geidenstam
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Sweden.
| | - Anders P H Danielsson
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Sweden
| | - Peter Spégel
- Department of Clinical Sciences Malmö, Unit of Molecular Metabolism, Lund University Diabetes Center, Lund University, Sweden
| | - Martin Ridderstråle
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Sweden; Steno Diabetes Center A/S, Gentofte, Denmark
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Wu W, Xie J, Zhang H. Dietary fibers influence the intestinal SCFAs and plasma metabolites profiling in growing pigs. Food Funct 2016; 7:4644-4654. [DOI: 10.1039/c6fo01406b] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Dietary fibers (DFs), widely used as food additives to replace fat, can benefit metabolic disorders.
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Affiliation(s)
- W. Wu
- State Key Laboratory of Animal Nutrition
- Institute of Animal Sciences
- Chinese Academy of Agricultural Sciences
- Beijing
- PR China
| | - J. Xie
- State Key Laboratory of Animal Nutrition
- Institute of Animal Sciences
- Chinese Academy of Agricultural Sciences
- Beijing
- PR China
| | - H. Zhang
- State Key Laboratory of Animal Nutrition
- Institute of Animal Sciences
- Chinese Academy of Agricultural Sciences
- Beijing
- PR China
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Ding Y, Svingen GFT, Pedersen ER, Gregory JF, Ueland PM, Tell GS, Nygård OK. Plasma Glycine and Risk of Acute Myocardial Infarction in Patients With Suspected Stable Angina Pectoris. J Am Heart Assoc 2015; 5:JAHA.115.002621. [PMID: 26722126 PMCID: PMC4859380 DOI: 10.1161/jaha.115.002621] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Background Glycine is an amino acid involved in antioxidative reactions, purine synthesis, and collagen formation. Several studies demonstrate inverse associations of glycine with obesity, hypertension, and diabetes mellitus. Recently, glycine‐dependent reactions have also been linked to lipid metabolism and cholesterol transport. However, little evidence is available on the association between glycine and coronary heart disease. Therefore, we assessed the association between plasma glycine and acute myocardial infarction (AMI). Methods and Results A total of 4109 participants undergoing coronary angiography for suspected stable angina pectoris were studied. Cox regression was used to estimate the association between plasma glycine and AMI, obtained via linkage to the CVDNOR project. During a median follow‐up of 7.4 years, 616 patients (15.0%) experienced an AMI. Plasma glycine was higher in women than in men and was associated with a more favorable baseline lipid profile and lower prevalence of obesity, hypertension, and diabetes mellitus (all P<0.001). After multivariate adjustment for traditional coronary heart disease risk factors, plasma glycine was inversely associated with risk of AMI (hazard ratio per SD: 0.89; 95% CI, 0.82–0.98; P=0.017). The inverse association was generally stronger in those with apolipoprotein B, low‐density lipoprotein cholesterol, or apolipoprotein A‐1 above the median (all Pinteraction≤0.037). Conclusions Plasma glycine was inversely associated with risk of AMI in patients with suspected stable angina pectoris. The associations were stronger in patients with apolipoprotein B, low‐density lipoprotein cholesterol, or apolipoprotein A‐1 levels above the median. These results motivate further studies to elucidate the relationship between glycine and lipid metabolism, in particular in relation to cholesterol transport and atherosclerosis. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00354081.
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Affiliation(s)
- Yunpeng Ding
- Department of Clinical Science, University of Bergen, Norway (Y.D., G.T.S., E.R.P., P.M.U., O.K.N.)
| | - Gard F T Svingen
- Department of Clinical Science, University of Bergen, Norway (Y.D., G.T.S., E.R.P., P.M.U., O.K.N.)
| | - Eva R Pedersen
- Department of Clinical Science, University of Bergen, Norway (Y.D., G.T.S., E.R.P., P.M.U., O.K.N.)
| | - Jesse F Gregory
- Food Science and Human Nutrition Department, University of Florida, Gainesville, FL (J.F.G.)
| | - Per M Ueland
- Department of Clinical Science, University of Bergen, Norway (Y.D., G.T.S., E.R.P., P.M.U., O.K.N.) Bevital AS, Bergen, Norway (P.M.U.)
| | - Grethe S Tell
- Department of Global Public Health and Primary Care, University of Bergen, Norway (G.S.T.) Norwegian Institute of Public Health, Bergen, Norway (G.S.T.)
| | - Ottar K Nygård
- Department of Clinical Science, University of Bergen, Norway (Y.D., G.T.S., E.R.P., P.M.U., O.K.N.) Department of Heart Disease, Haukeland University Hospital, Bergen, Norway (O.K.N.) KG Jebsen Center for Diabetes Research, Haukeland University Hospital, Bergen, Norway (O.K.N.)
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76
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Sun L, Jiao H, Gao B, Yuanzi Q, Zhang H, Wang Y, Ou N, Yan Z, Zhou H. Hydrophilic interaction liquid chromatography coupled with tandem mass spectrometry method for the simultaneous determination of l-valine, l-leucine, l-isoleucine, l-phenylalanine, and l-tyrosine in human serum. J Sep Sci 2015; 38:3876-3883. [PMID: 26377247 DOI: 10.1002/jssc.201500512] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 09/06/2015] [Accepted: 09/06/2015] [Indexed: 11/11/2022]
Abstract
l-Valine, l-leucine, l-isoleucine, l-phenylalanine, and l-tyrosine are important proposed biomarkers for the early detection and diagnosis of type 2 diabetes. A simple and selective hydrophilic interaction chromatography with tandem mass spectrometry method was developed for the simultaneous determination of these amino acids in human serum, using stable isotope-labeled amino acids as internal standards. Chromatographic separation was carried out on a Syncronis HILIC column (150 mm × 2.1 mm, 5 μm) with the column temperature of 35°C and a mobile phase consisted of acetonitrile/120 mM ammonium acetate (89:11, v/v), and the run time was 11.0 min. The mass spectrometric analysis was performed using a QTRAP 5500 mass spectrometer coupled with an electrospray ionization source in positive ion mode. As these five amino acids are endogenous compounds in serum, we used the corresponding stable isotope-labeled amino acids to evaluate the matrix effect and recovery in serum. The matrix effect was 98.7-107.3%, and the recovery was 92.7-102.3%. Calibration curves spiked unlabeled amino acids in water were linear over the range of 0.200-100 μg/mL. The accuracy, inter-, and intraday precision were below 10.2%. Analytes were stable during the study. This assay method has been validated and applied to the early diagnosis research of type 2 diabetes.
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Affiliation(s)
- Luning Sun
- Research Division of Clinical Pharmacology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Huiwen Jiao
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing, China
| | - Beibei Gao
- Department of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Qingyun Yuanzi
- Research Division of Clinical Pharmacology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Hongwen Zhang
- Research Division of Clinical Pharmacology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Yongqing Wang
- Research Division of Clinical Pharmacology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Ning Ou
- Research Division of Clinical Pharmacology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Zhengyu Yan
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing, China
| | - Hongwen Zhou
- Department of Endocrinology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China
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77
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Capel F, Chabrier G, Pitois E, Rigaudière JP, Le Plenier S, Durand C, Jouve C, de Bandt JP, Cynober L, Moinard C, Morio B. Combining citrulline with atorvastatin preserves glucose homeostasis in a murine model of diet-induced obesity. Br J Pharmacol 2015; 172:4996-5008. [PMID: 26228176 DOI: 10.1111/bph.13269] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Revised: 05/26/2015] [Accepted: 07/25/2015] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND AND PURPOSE NO is a crucial regulator of energy and lipid metabolism, whose homeostasis is compromised during obesity. Combination of citrulline and atorvastatin potentiated NO production in vitro. Here we have assessed the effects of this combination in mice with diet-induced obesity (DIO). EXPERIMENTAL APPROACH C57BL/6J male mice were given a standard diet (control) or a high fat-high sucrose diet (DIO) for 8 weeks. DIO mice were then treated with DIO alone, DIO with citrulline, DIO with atorvastatin or DIO with citrulline and atorvastatin (DIOcit-stat) for 3 weeks. Thereafter, body composition, glucose tolerance, insulin sensitivity and liver fat metabolism were measured. KEY RESULTS DIOcit-stat mice showed lower body weight, fat mass and epididymal fat depots compared with other DIO groups. Unlike other DIO groups, glucose tolerance and insulin sensitivity of DIOcit-stat, along with blood glucose and insulin concentrations in response to feeding, were restored to control values. Refeeding-induced changes in liver lipogenic activity were also reduced in DIOcit-stat mice compared with those of DIO animals. This was associated with decreased gene expression of the transcription factor SREBP-1, liver X receptor α, ChREBP and of target lipogenic enzymes in the liver of DIOcit-stat mice compared with those of other DIO groups. CONCLUSIONS AND IMPLICATIONS The citrulline-atorvastatin combination prevented fat mass accumulation and maintained glucose homeostasis in DIO mice. Furthermore, it potentiated inhibition of hepatic de novo lipogenesis activity. This combination has potential for preservation of glucose homeostasis in patients receiving statin therapy.
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Affiliation(s)
- Frédéric Capel
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France
| | - Gwladys Chabrier
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France
| | - Elodie Pitois
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France
| | - Jean-Paul Rigaudière
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France
| | - Servane Le Plenier
- Laboratory of Nutrition Biology EA 4466, Paris-Descartes University, Paris, France
| | - Christine Durand
- INRA, UMR 1397, CarMeN Laboratory, Lyon 1 University, INSERM U1060, INSA of Lyon, Rockefeller and Charles Merieux Lyon-Sud Medical Universities, Lyon, France
| | - Chrystèle Jouve
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France
| | - Jean-Pascal de Bandt
- Laboratory of Nutrition Biology EA 4466, Paris-Descartes University, Paris, France.,Department of Clinical Chemistry, Cochin and Hotel-Dieu Hospitals, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Luc Cynober
- Laboratory of Nutrition Biology EA 4466, Paris-Descartes University, Paris, France.,Department of Clinical Chemistry, Cochin and Hotel-Dieu Hospitals, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Christophe Moinard
- Laboratory of Nutrition Biology EA 4466, Paris-Descartes University, Paris, France
| | - Béatrice Morio
- INRA, UMR 1019, UNH, CRNH Auvergne and Clermont University, Auvergne University, Human Nutrition Unit, Clermont-Ferrand, France.,INRA, UMR 1397, CarMeN Laboratory, Lyon 1 University, INSERM U1060, INSA of Lyon, Rockefeller and Charles Merieux Lyon-Sud Medical Universities, Lyon, France
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78
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Yousri NA, Mook-Kanamori DO, Selim MMED, Takiddin AH, Al-Homsi H, Al-Mahmoud KAS, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K. A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control. Diabetologia 2015; 58:1855-67. [PMID: 26049400 PMCID: PMC4499109 DOI: 10.1007/s00125-015-3636-2] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 04/20/2015] [Indexed: 12/21/2022]
Abstract
AIMS/HYPOTHESIS Metabolomics has opened new avenues for studying metabolic alterations in type 2 diabetes. While many urine and blood metabolites have been associated individually with diabetes, a complete systems view analysis of metabolic dysregulations across multiple biofluids and over varying timescales of glycaemic control is still lacking. METHODS Here we report a broad metabolomics study in a clinical setting, covering 2,178 metabolite measures in saliva, blood plasma and urine from 188 individuals with diabetes and 181 controls of Arab and Asian descent. Using multivariate linear regression we identified metabolites associated with diabetes and markers of acute, short-term and long-term glycaemic control. RESULTS Ninety-four metabolite associations with diabetes were identified at a Bonferroni level of significance (p < 2.3 × 10(-5)), 16 of which have never been reported. Sixty-five of these diabetes-associated metabolites were associated with at least one marker of glycaemic control in the diabetes group. Using Gaussian graphical modelling, we constructed a metabolic network that links diabetes-associated metabolites from three biofluids across three different timescales of glycaemic control. CONCLUSIONS/INTERPRETATION Our study reveals a complex network of biochemical dysregulation involving metabolites from different pathways of diabetes pathology, and provides a reference framework for future diabetes studies with metabolic endpoints.
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Affiliation(s)
- Noha A. Yousri
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
- Department of Computer and Systems Engineering, Alexandria University, Alexandria, Egypt
| | - Dennis O. Mook-Kanamori
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
- Department of Endocrinology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | | | - Hala Al-Homsi
- Dermatology Department, Hamad Medical Corporation, Doha, Qatar
| | | | | | - Jan Krumsiek
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Kieu Thinh Do
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ulrich Neumaier
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjonneke J. Mook-Kanamori
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
| | - Jillian Rowe
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
| | - Omar M. Chidiac
- Clinical Research Core, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, Doha, Qatar
| | - Cindy McKeon
- Clinical Research Core, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, Doha, Qatar
| | - Wadha A. Al Muftah
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
| | - Sara Abdul Kader
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environment Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation – Education City, PO Box 24144, Doha, Qatar
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79
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Banerji J. Asparaginase treatment side-effects may be due to genes with homopolymeric Asn codons (Review-Hypothesis). Int J Mol Med 2015; 36:607-26. [PMID: 26178806 PMCID: PMC4533780 DOI: 10.3892/ijmm.2015.2285] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 07/15/2015] [Indexed: 12/14/2022] Open
Abstract
The present treatment of childhood T-cell leukemias involves the systemic administration of prokary-otic L-asparaginase (ASNase), which depletes plasma Asparagine (Asn) and inhibits protein synthesis. The mechanism of therapeutic action of ASNase is poorly understood, as are the etiologies of the side-effects incurred by treatment. Protein expression from genes bearing Asn homopolymeric coding regions (N-hCR) may be particularly susceptible to Asn level fluctuation. In mammals, N-hCR are rare, short and conserved. In humans, misfunctions of genes encoding N-hCR are associated with a cluster of disorders that mimic ASNase therapy side-effects which include impaired glycemic control, dislipidemia, pancreatitis, compromised vascular integrity, and neurological dysfunction. This paper proposes that dysregulation of Asn homeostasis, potentially even by ASNase produced by the microbiome, may contribute to several clinically important syndromes by altering expression of N-hCR bearing genes. By altering amino acid abundance and modulating ribosome translocation rates at codon repeats, the microbiomic environment may contribute to genome decoding and to shaping the proteome. We suggest that impaired translation at poly Asn codons elevates diabetes risk and severity.
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Affiliation(s)
- Julian Banerji
- Center for Computational and Integrative Biology, MGH, Simches Research Center, Boston, MA 02114, USA
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80
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Liu L, Feng R, Guo F, Li Y, Jiao J, Sun C. Targeted metabolomic analysis reveals the association between the postprandial change in palmitic acid, branched-chain amino acids and insulin resistance in young obese subjects. Diabetes Res Clin Pract 2015; 108:84-93. [PMID: 25700627 DOI: 10.1016/j.diabres.2015.01.014] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 01/09/2015] [Accepted: 01/13/2015] [Indexed: 01/13/2023]
Abstract
Obesity is the result of a positive energy balance and often leads to difficulties in maintaining normal postprandial metabolism. The changes in postprandial metabolites after an oral glucose tolerance test (OGTT) in young obese Chinese men are unclear. In this work, the aim is to investigate the complex metabolic alterations in obesity provoked by an OGTT using targeted metabolomics. We used gas chromatography-mass spectrometry and ultra high performance liquid chromatography-triple quadrupole mass spectrometry to analyze serum fatty acids, amino acids and biogenic amines profiles from 15 control and 15 obese subjects at 0, 30, 60, 90 and 120 min during an OGTT. Metabolite profiles from 30 obese subjects as independent samples were detected in order to validate the change of metabolites. There were the decreased levels of fatty acid, amino acids and biogenic amines after OGTT in obesity. At 120 min, percent change of 20 metabolites in obesity has statistical significance when comparing with the controls. The obese parameters was positively associated with changes in arginine and histidine (P<0.05) and the postprandial change in palmitic acid (PA), branched-chain amino acids (BCAAs) and phenylalanine between 1 and 120 min were positively associated with fasting insulin and HOMA-IR (all P<0.05) in the obese group. The postprandial metabolite of PA and BCAAs may play important role in the development and onset of insulin resistance in obesity. Our findings offer new insights in the complex physiological regulation of the metabolism during an OGTT in obesity.
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Affiliation(s)
- Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Fuchuan Guo
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Jundong Jiao
- The Second Affiliated Hospital of Harbin Medical University, Harbin, PR China.
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China.
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81
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Dryer SE. Glutamate receptors in the kidney. Nephrol Dial Transplant 2015; 30:1630-8. [PMID: 25829324 DOI: 10.1093/ndt/gfv028] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 01/08/2015] [Indexed: 01/28/2023] Open
Abstract
l-Glutamate (l-Glu) plays an essential role in the central nervous system (CNS) as an excitatory neurotransmitter, and exerts its effects by acting on a large number of ionotropic and metabotropic receptors. These receptors are also expressed in several peripheral tissues, including the kidney. This review summarizes the general properties of ionotropic and metabotropic l-Glu receptors, focusing on N-methyl-d-aspartate (NMDA) and Group 1 metabotropic glutamate receptors (mGluRs). NMDA receptors are expressed in the renal cortex and medulla, and appear to play a role in the regulation of renal blood flow, glomerular filtration, proximal tubule reabsorption and urine concentration within medullary collecting ducts. Sustained activation of NMDA receptors induces Ca(2+) influx and oxidative stress, which can lead to glomerulosclerosis, for example in hyperhomocysteinemia. Group 1 mGluRs are expressed in podocytes and probably in other cell types. Mice in which these receptors are knocked out gradually develop albuminuria and glomerulosclerosis. Several endogenous agonists of l-Glu receptors, which include sulfur-containing amino acids derived from l-homocysteine, and quinolinic acid (QA), as well as the co-agonists glycine and d-serine, are present in the circulation at concentrations capable of robustly activating ionotropic and metabotropic l-Glu receptors. These endogenous agonists may also be secreted from renal parenchymal cells, or from cells that have migrated into the kidney, by exocytosis or by transporters such as system x(-)(c), or by transporters involved in ammonia secretion. l-Glu receptors may be useful targets for drug therapy, and many selective orally-active compounds exist for investigation of these receptors as potential drug targets for various kidney diseases.
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Affiliation(s)
- Stuart E Dryer
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA Division of Nephrology, Baylor College of Medicine, Houston, TX, USA
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82
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Okame R, Nakahara K, Murakami N. Plasma amino acid profiles at various reproductive stages in female rats. J Vet Med Sci 2015; 77:815-21. [PMID: 25787929 PMCID: PMC4527503 DOI: 10.1292/jvms.15-0095] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
We measured the plasma levels of amino acids at various reproductive stages in female
rats, including the estrous cycle, pregnancy and lactation, and compared the resulting
amino acid profiles using two- or three-dimensional figures. These figures revealed that
the amino acid profiles of pregnant and lactating dams differed considerably from those
during the estrous cycle or in male rats. The plasma levels of individual amino acids were
almost the same between proestrus, estrus, metestrus and diestrus, and their profiles did
not differ significantly. However, the amino acid profiles changed during pregnancy and
lactation in dams. The plasma Ser level decreased significantly in mid and late pregnancy,
whereas Tyr, Gly and His decreased significantly in the late and end stages of pregnancy,
and Trp and Lys significantly decreased and increased at the end of pregnancy,
respectively. Much larger changes in amino acid profiles were observed during lactation,
when the levels of many amino acids increased significantly, and none showed a significant
decrease. Plasma Pro, Ser and Gly levels increased continuously from day 1 until day 15 of
lactation, whereas Asn and Met increased significantly from days 1 and 5 respectively
until the end of lactation. These results suggest that the profiles of plasma amino acids
show characteristic changes according to reproductive stage and that it may be necessary
to consider such differences when performing amino acid-based diagnosis.
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Affiliation(s)
- Rieko Okame
- Department of Veterinary Physiology, Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan
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Metabolomics for Biomarkers of Type 2 Diabetes Mellitus: Advances and Nutritional Intervention Trends. CURRENT CARDIOVASCULAR RISK REPORTS 2015. [DOI: 10.1007/s12170-015-0440-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Geidenstam N, Spégel P, Mulder H, Filipsson K, Ridderstråle M, Danielsson APH. Metabolite profile deviations in an oral glucose tolerance test-a comparison between lean and obese individuals. Obesity (Silver Spring) 2014; 22:2388-95. [PMID: 25132155 DOI: 10.1002/oby.20868] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 07/25/2014] [Indexed: 12/11/2022]
Abstract
OBJECTIVE While impaired glucose tolerance diagnosed by the oral glucose tolerance test (OGTT) is a common trait in obese individuals, less is known about changes in levels of other metabolites. The aim was to reveal the complex alterations in metabolite levels provoked by an OGTT and its perturbation in obese individuals. METHODS Gas chromatography/mass spectrometry was used to profile metabolite levels in serum from 14 obese participants (body mass index [BMI] of 43.6 ± 1.5 kg m(-2) [mean ± SEM]) at 0, 30, and 120 min during a standard 2-h 75 g OGTT. Metabolite profiles from six lean individuals (BMI of 22.4 ± 2.4 kg m(-2) ), collected from a previous study, were included for comparison. RESULTS In the obese group, 59 metabolite profiles were determined. Among these, 16 deviated from profiles in the lean group. Deviating metabolites were categorized into three groups. Delayed reduction in levels of five fatty acids. Increased levels at 30 min of five amino acids, including isoleucine and leucine. A blunted increase at 30 min of six metabolites. CONCLUSIONS Metabolomics analysis revealed distinct differences in alterations of metabolite levels during an OGTT in obese and lean subjects. To this end, our data suggests a disrupted regulation of ketogenesis, lipolysis and proteolysis in obese individuals.
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Affiliation(s)
- Nina Geidenstam
- Department of Clinical Sciences, Malmö, Clinical Obesity, Lund University Diabetes Centre, Lund University, Sweden
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