Personalized Nutrition by Prediction of Glycemic Responses
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E. Segal | D. Zeevi | Tal Korem | N. Zmora | D. Israeli | Daphna Rothschild | A. Weinberger | Orly Ben-Yacov | Dar Lador | T. Avnit-Sagi | M. Lotan-Pompan | J. Suez | J. A. Mahdi | Elad Matot | Gal Malka | Noa Kosower | Michal Rein | G. Zilberman-Schapira | L. Dohnalová | M. Pevsner-Fischer | Rony Bikovsky | Z. Halpern | E. Elinav | Gili Zilberman-Schapira | Jemal Ali Mahdi | Jotham Suez | T. Korem
[1] H. Himsworth. Dietetic factors influencing the glucose tolerance and the activity of insulin , 1934, The Journal of physiology.
[2] L. H. Newburgh,et al. THE GLYCEMIC RESPONSE TO ISOGLUCOGENIC QUANTITIES OF PROTEIN AND CARBOHYDRATE. , 1936, The Journal of clinical investigation.
[3] T. Wolever,et al. Glycemic index of foods: a physiological basis for carbohydrate exchange. , 1981, The American journal of clinical nutrition.
[4] T. Wolever,et al. The use of the glycemic index in predicting the blood glucose response to mixed meals. , 1986, The American journal of clinical nutrition.
[5] N. Read,et al. The effect of incorporating fat into different components of a meal on gastric emptying and postprandial blood glucose and insulin responses , 1989, British Journal of Nutrition.
[6] J. Pessin,et al. Glycemic improvement in diabetic db/db mice by overexpression of the human insulin-regulatable glucose transporter (GLUT4). , 1995, The Journal of clinical investigation.
[7] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[8] G. Riccardi,et al. Dietary treatment of the metabolic syndrome — the optimal diet , 2000, British Journal of Nutrition.
[9] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[10] M. Sandkvist. Type II Secretion and Pathogenesis , 2001, Infection and Immunity.
[11] Kaye Foster-Powell,et al. International table of glycemic index and glycemic load values: 2002. , 2002, The American journal of clinical nutrition.
[12] Robert M. Anderson,et al. Prevention or delay of type 2 diabetes. , 2004, Diabetes care.
[13] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[14] Robert M. Anderson,et al. 5. Prevention or Delay of Type 2 Diabetes , 2016, Diabetes Care.
[15] E. Mardis,et al. An obesity-associated gut microbiome with increased capacity for energy harvest , 2006, Nature.
[16] N. Hayashi,et al. Oral Glucose Tolerance Test Predicts Prognosis of Patients with Liver Cirrhosis , 2006, The American Journal of Gastroenterology.
[17] H. Flint,et al. Reduced Dietary Intake of Carbohydrates by Obese Subjects Results in Decreased Concentrations of Butyrate and Butyrate-Producing Bacteria in Feces , 2006, Applied and Environmental Microbiology.
[18] J. Leahy. Impaired Fasting Glucose and Impaired Glucose Tolerance: Implications for care , 2008 .
[19] Kaye Foster-Powell,et al. International Tables of Glycemic Index and Glycemic Load Values: 2008 , 2008, Diabetes Care.
[20] A. Sood,et al. Glucose as a prognostic factor in ovarian carcinoma , 2009, Cancer.
[21] B. Gallwitz,et al. Implications of Postprandial Glucose and Weight Control in People With Type 2 Diabetes , 2009, Diabetes Care.
[22] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[23] A. Martí,et al. Interplay Between Weight Loss and Gut Microbiota Composition in Overweight Adolescents , 2009, Obesity.
[24] B. Roe,et al. A core gut microbiome in obese and lean twins , 2008, Nature.
[25] William A. Walters,et al. QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.
[26] R. Mensink,et al. Variability of the glycemic response to single food products in healthy subjects. , 2010, Contemporary Clinical Trials.
[27] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[28] Jennie,et al. Improving the Estimation ofMealtime Insulin Dose in AdultsWith Type 1 Diabetes The Normal Insulin Demand for Dose Adjustment ( NIDDA ) study , 2011 .
[29] Jacques Schrenzel,et al. Responses of Gut Microbiota and Glucose and Lipid Metabolism to Prebiotics in Genetic Obese and Diet-Induced Leptin-Resistant Mice , 2011, Diabetes.
[30] F. Bushman,et al. Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes , 2011, Science.
[31] M. Trovati,et al. Postprandial Blood Glucose Predicts Cardiovascular Events and All-Cause Mortality in Type 2 Diabetes in a 14-Year Follow-Up , 2011, Diabetes Care.
[32] B. Venn,et al. Calculating meal glycemic index by using measured and published food values compared with directly measured meal glycemic index. , 2011, The American journal of clinical nutrition.
[33] J. Holst,et al. Impact of postprandial glycaemia on health and prevention of disease , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[34] Katherine H. Huang,et al. Structure, Function and Diversity of the Healthy Human Microbiome , 2012, Nature.
[35] J. Shaw,et al. Breaking Up Prolonged Sitting Reduces Postprandial Glucose and Insulin Responses , 2012, Diabetes Care.
[36] Roderic Guigó,et al. The GEM mapper: fast, accurate and versatile alignment by filtration , 2012, Nature Methods.
[37] S. Grundy. Pre-diabetes, metabolic syndrome, and cardiovascular risk. , 2012, Journal of the American College of Cardiology.
[38] Qiang Feng,et al. A metagenome-wide association study of gut microbiota in type 2 diabetes , 2012, Nature.
[39] A. Lichtenstein,et al. Effect of Diets Differing in Glycemic Index and Glycemic Load on Cardiovascular Risk Factors: Review of Randomized Controlled-Feeding Trials , 2013, Nutrients.
[40] D. Greenwood,et al. Glycemic Index, Glycemic Load, Carbohydrates, and Type 2 Diabetes , 2013, Diabetes Care.
[41] Fredrik H. Karlsson,et al. Gut metagenome in European women with normal, impaired and diabetic glucose control , 2013, Nature.
[42] Zhuye Jie,et al. Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance , 2013, PloS one.
[43] Robert C. Edgar,et al. UPARSE: highly accurate OTU sequences from microbial amplicon reads , 2013, Nature Methods.
[44] I. Martínez,et al. Gut microbiome composition is linked to whole grain-induced immunological improvements , 2012, The ISME Journal.
[45] J. Clemente,et al. Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice , 2013, Science.
[46] L. Schwingshackl,et al. Long-term effects of low glycemic index/load vs. high glycemic index/load diets on parameters of obesity and obesity-associated risks: a systematic review and meta-analysis. , 2013, Nutrition, metabolism, and cardiovascular diseases : NMCD.
[47] P. Bork,et al. Richness of human gut microbiome correlates with metabolic markers , 2013, Nature.
[48] Jens Roat Kultima,et al. Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes , 2014, Nature Biotechnology.
[49] Jens Roat Kultima,et al. An integrated catalog of reference genes in the human gut microbiome , 2014, Nature Biotechnology.
[50] Ronald Brazg,et al. Accuracy and acceptability of the 6-day Enlite continuous subcutaneous glucose sensor. , 2014, Diabetes technology & therapeutics.
[51] 4. Foundations of Care: Education, Nutrition, Physical Activity, Smoking Cessation, Psychosocial Care, and Immunization , 2014, Diabetes Care.
[52] Artificial sweeteners induce glucose intolerance by altering the gut microbiota , 2014, Nature.
[53] Liping Zhao,et al. A gut microbiota-targeted dietary intervention for amelioration of chronic inflammation underlying metabolic syndrome , 2013, FEMS microbiology ecology.
[54] Lawrence A. David,et al. Diet rapidly and reproducibly alters the human gut microbiome , 2013, Nature.
[55] 5. Prevention or Delay of Type 2 Diabetes , 2014, Diabetes Care.
[56] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[57] P. François,et al. Microbiome of prebiotic-treated mice reveals novel targets involved in host response during obesity , 2014, The ISME Journal.
[58] Fengtang Yang,et al. Obesity, starch digestion and amylase: association between copy number variants at human salivary (AMY1) and pancreatic (AMY2) amylase genes , 2015, Human molecular genetics.
[59] Nidhi Bansal,et al. Prediabetes diagnosis and treatment: A review. , 2015, World journal of diabetes.
[60] Duy Tin Truong,et al. MetaPhlAn2 for enhanced metagenomic taxonomic profiling , 2015, Nature Methods.
[61] Eran Segal,et al. Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples , 2015, Science.