Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review
暂无分享,去创建一个
[1] J. Ferrières,et al. Metabolomics reveals plausible interactive effects between dairy product consumption and metabolic syndrome in humans. , 2020, Clinical nutrition.
[2] E. Randell,et al. Unfavorable Associations Between Serum Trimethylamine N-Oxide and L-Carnitine Levels With Components of Metabolic Syndrome in the Newfoundland Population , 2019, Front. Endocrinol..
[3] I. Jialal,et al. Exploratory metabolomics of nascent metabolic syndrome. , 2019, Journal of diabetes and its complications.
[4] T. Lundstedt,et al. Metabolomic and lipidomic assessment of the metabolic syndrome in Dutch middle-aged individuals reveals novel biological signatures separating health and disease , 2019, Metabolomics.
[5] J. Shaw,et al. High-Throughput Plasma Lipidomics: Detailed Mapping of the Associations with Cardiometabolic Risk Factors. , 2019, Cell chemical biology.
[6] G. Muscogiuri,et al. Trimethylamine-N-oxide (TMAO) as Novel Potential Biomarker of Early Predictors of Metabolic Syndrome , 2018, Nutrients.
[7] Dermot F. Reilly,et al. Relation of plasma ceramides to visceral adiposity, insulin resistance and the development of type 2 diabetes mellitus: the Dallas Heart Study , 2018, Diabetologia.
[8] B. Adams-Huet,et al. Exploratory lipidomics in patients with nascent Metabolic Syndrome. , 2018, Journal of diabetes and its complications.
[9] O. Melander,et al. Altered Asparagine and Glutamate Homeostasis Precede Coronary Artery Disease and Type 2 Diabetes , 2018, The Journal of clinical endocrinology and metabolism.
[10] S. Weisnagel,et al. Increased body fat mass explains the positive association between circulating estradiol and insulin resistance in postmenopausal women. , 2018, American journal of physiology. Endocrinology and metabolism.
[11] M. Saklayen. The Global Epidemic of the Metabolic Syndrome , 2018, Current Hypertension Reports.
[12] Tommi Suvitaival,et al. Lipidome as a predictive tool in progression to type 2 diabetes in Finnish men. , 2018, Metabolism: clinical and experimental.
[13] J. Griffin,et al. Metabolomics applied to diabetes-lessons from human population studies. , 2017, The international journal of biochemistry & cell biology.
[14] D. Panagiotakos,et al. Amino acid profile and metabolic syndrome in a male Mediterranean population: A cross-sectional study. , 2017, Nutrition, metabolism, and cardiovascular diseases : NMCD.
[15] N. Sheehan,et al. A Mendelian Randomization Study of Metabolite Profiles, Fasting Glucose, and Type 2 Diabetes , 2017, Diabetes.
[16] T. Hankemeier,et al. Metabolomics based markers predict type 2 diabetes in a 14-year follow-up study , 2017, Metabolomics.
[17] J. Stinear,et al. Prevalence of metabolic syndrome and metabolic syndrome components in young adults: A pooled analysis , 2017, Preventive medicine reports.
[18] Tero Aittokallio,et al. Early metabolic markers identify potential targets for the prevention of type 2 diabetes , 2017, Diabetologia.
[19] Blandine Comte,et al. Systems Metabolomics for Prediction of Metabolic Syndrome. , 2017, Journal of proteome research.
[20] J. Suez,et al. Personalized microbiome‐based approaches to metabolic syndrome management and prevention , 2017, Journal of diabetes.
[21] R. Jayawardena,et al. Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review , 2017, BMC Public Health.
[22] J. Blangero,et al. Lipidomics in the Study of Hypertension in Metabolic Syndrome , 2017, Current Hypertension Reports.
[23] Jean Tichet,et al. Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling , 2016, Molecular metabolism.
[24] Amedeo Napoli,et al. Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data , 2016, Front. Mol. Biosci..
[25] M. Patti,et al. What Have Metabolomics Approaches Taught Us About Type 2 Diabetes? , 2016, Current Diabetes Reports.
[26] K. Kawecka-Jaszcz,et al. Association of free testosterone and sex hormone binding globulin with metabolic syndrome and subclinical atherosclerosis but not blood pressure in hypertensive perimenopausal women , 2016, Archives of medical science : AMS.
[27] E. Seely,et al. The association between phthalates and metabolic syndrome: the National Health and Nutrition Examination Survey 2001–2010 , 2016, Environmental Health.
[28] Emma L. Schymanski,et al. Mass spectral databases for LC/MS- and GC/MS-based metabolomics: state of the field and future prospects , 2016 .
[29] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[30] Christoph Steinbeck,et al. MetaboLights: An Open‐Access Database Repository for Metabolomics Data , 2016, Current protocols in bioinformatics.
[31] Johann A. Gagnon-Bartsch,et al. Skeletal muscle and plasma lipidomic signatures of insulin resistance and overweight/obesity in humans , 2016, Obesity.
[32] Ming-Huei Chen,et al. Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes , 2016, PloS one.
[33] Oliver Fiehn,et al. Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics. , 2016, Analytical chemistry.
[34] Eoin Fahy,et al. Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools , 2015, Nucleic Acids Res..
[35] F. Tinahones,et al. Metabolomic insights into the intricate gut microbial–host interaction in the development of obesity and type 2 diabetes , 2015, Front. Microbiol..
[36] B. Balkau,et al. The kynurenine pathway is activated in human obesity and shifted toward kynurenine monooxygenase activation , 2015, Obesity.
[37] Dave L Dixon,et al. The CardioMetabolic Health Alliance: Working Toward a New Care Model for the Metabolic Syndrome. , 2015, Journal of the American College of Cardiology.
[38] H. Guillou,et al. Effect of obesity and metabolic syndrome on plasma oxysterols and fatty acids in human , 2015, Steroids.
[39] Eun-Kyoung Kim,et al. A Metabolomic Approach to Understanding the Metabolic Link between Obesity and Diabetes , 2015, Molecules and cells.
[40] Arnald Alonso,et al. Analytical Methods in Untargeted Metabolomics: State of the Art in 2015 , 2015, Front. Bioeng. Biotechnol..
[41] Alla Karnovsky,et al. Metabolomics and Diabetes: Analytical and Computational Approaches , 2015, Diabetes.
[42] M. Rutter,et al. Associations between sex steroids and the development of metabolic syndrome: a longitudinal study in European men. , 2015, The Journal of clinical endocrinology and metabolism.
[43] J. Kuk,et al. Trajectories of Metabolic Syndrome Development in Young Adults , 2014, PloS one.
[44] Albert Koulman,et al. Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study , 2014, The lancet. Diabetes & endocrinology.
[45] Philippe Bardou,et al. jvenn: an interactive Venn diagram viewer , 2014, BMC Bioinformatics.
[46] John C Lindon,et al. The emergent role of metabolic phenotyping in dynamic patient stratification , 2014, Expert opinion on drug metabolism & toxicology.
[47] I. Duarte,et al. NMR metabolomics of human blood and urine in disease research. , 2014, Journal of pharmaceutical and biomedical analysis.
[48] U. Kujala,et al. Serum metabolic profiles in overweight and obese women with and without metabolic syndrome , 2014, Diabetology & Metabolic Syndrome.
[49] Jaspinder Kaur. A Comprehensive Review on Metabolic Syndrome , 2014, Cardiology research and practice.
[50] Hui Sun,et al. Metabolomics in diabetes. , 2014, Clinica chimica acta; international journal of clinical chemistry.
[51] Jennifer R. Harris,et al. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies , 2014, BMC Endocrine Disorders.
[52] J. Nicholson,et al. Metabolic phenotyping and systems biology approaches to understanding metabolic syndrome and fatty liver disease. , 2014, Gastroenterology.
[53] Age K. Smilde,et al. Reflections on univariate and multivariate analysis of metabolomics data , 2013, Metabolomics.
[54] Rawi Ramautar,et al. Human metabolomics: strategies to understand biology. , 2013, Current opinion in chemical biology.
[55] Adam Kowalczyk,et al. Plasma Lipid Profiling Shows Similar Associations with Prediabetes and Type 2 Diabetes , 2013, PloS one.
[56] R. Lehmann. Diabetes subphenotypes and metabolomics: the key to discovering laboratory markers for personalized medicine? , 2013, Clinical chemistry.
[57] Hiram Beltrán-Sánchez,et al. Prevalence and trends of metabolic syndrome in the adult U.S. population, 1999-2010. , 2013, Journal of the American College of Cardiology.
[58] V. González-Covarrubias. Lipidomics in longevity and healthy aging , 2013, Biogerontology.
[59] P. Schmitt‐Kopplin,et al. Liquid chromatography-mass spectrometry in metabolomics research: mass analyzers in ultra high pressure liquid chromatography coupling. , 2013, Journal of chromatography. A.
[60] T. Pischon,et al. The potential use of biomarkers in the prevention of Type 2 diabetes , 2013, Expert review of endocrinology & metabolism.
[61] Juan Antonio Vizcaíno,et al. Shorthand notation for lipid structures derived from mass spectrometry , 2013, Journal of Lipid Research.
[62] L. Almasy,et al. Variability in Associations of Phosphatidylcholine Molecular Species with Metabolic Syndrome in Mexican–American Families , 2013, Lipids.
[63] Christian Gieger,et al. Novel biomarkers for pre-diabetes identified by metabolomics , 2012, Molecular systems biology.
[64] D. Noto,et al. Evaluation of nitric oxide metabolites in a group of subjects with metabolic syndrome. , 2012, Diabetes & metabolic syndrome.
[65] Susan Cheng,et al. Metabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans , 2012, Circulation.
[66] C. Newgard. Interplay between lipids and branched-chain amino acids in development of insulin resistance. , 2012, Cell metabolism.
[67] L. Lind,et al. Circulating Levels of Phthalate Metabolites Are Associated With Prevalent Diabetes in the Elderly , 2012, Diabetes Care.
[68] S. Grundy. Pre-diabetes, metabolic syndrome, and cardiovascular risk. , 2012, Journal of the American College of Cardiology.
[69] Joachim Thiery,et al. LC-MS-based metabolomics in the clinical laboratory. , 2012, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[70] S. Adams. Emerging perspectives on essential amino acid metabolism in obesity and the insulin-resistant state. , 2011, Advances in nutrition.
[71] Lawrence Joseph,et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. , 2010, Journal of the American College of Cardiology.
[72] Brett R. Wenner,et al. Metabolomics Applied to Diabetes Research , 2009, Diabetes.
[73] S. Grundy,et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International As , 2009, Circulation.
[74] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement , 2009, BMJ : British Medical Journal.
[75] R Bethene Ervin,et al. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. , 2009, National health statistics reports.
[76] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2009, Journal of clinical epidemiology.
[77] Nigel W. Hardy,et al. A roadmap for the establishment of standard data exchange structures for metabolomics , 2007, Metabolomics.
[78] Nigel W. Hardy,et al. Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.
[79] C. Day. Metabolic syndrome, or What you will: definitions and epidemiology , 2007, Diabetes & vascular disease research.
[80] David W. Russell,et al. LMSD: LIPID MAPS structure database , 2006, Nucleic Acids Res..
[81] Douglas B. Kell,et al. Statistical strategies for avoiding false discoveries in metabolomics and related experiments , 2007, Metabolomics.
[82] E. Ford,et al. Definition of the Metabolic Syndrome: What's New and What Predicts Risk? , 2006, Metabolic syndrome and related disorders.
[83] J. Shaw,et al. Metabolic syndrome—a new world‐wide definition. A Consensus Statement from the International Diabetes Federation , 2006, Diabetic medicine : a journal of the British Diabetic Association.
[84] R. D'Agostino,et al. Metabolic Syndrome as a Precursor of Cardiovascular Disease and Type 2 Diabetes Mellitus , 2005, Circulation.
[85] C. Bouchard,et al. Contribution of age and declining androgen levels to features of the metabolic syndrome in men. , 2005, Metabolism: clinical and experimental.
[86] D. Mannino,et al. Prospective association between lung function and the incidence of diabetes: findings from the National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. , 2004, Diabetes care.
[87] S. Haffner,et al. Does the metabolic syndrome improve identification of individuals at risk of type 2 diabetes and/or cardiovascular disease? , 2004, Diabetes care.
[88] W. Dietz,et al. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. , 2002, JAMA.
[89] J. Lindon,et al. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. , 1999, Xenobiotica; the fate of foreign compounds in biological systems.