Proteomic signatures for identification of impaired glucose tolerance

[1]  A. Hingorani,et al.  Synergistic insights into human health from aptamer- and antibody-based proteomic profiling , 2021, Nature Communications.

[2]  E. Gamazon,et al.  Mapping the proteo-genomic convergence of human diseases , 2021, Science.

[3]  P. Bennett,et al.  Efficacy of lifestyle intervention in adults with impaired glucose tolerance with and without impaired fasting plasma glucose: A post hoc analysis of Da Qing Diabetes Prevention Outcome Study , 2021, Diabetes, obesity & metabolism.

[4]  G. Bergström,et al.  Next generation plasma proteome profiling to monitor health and disease , 2021, Nature Communications.

[5]  L. Groop,et al.  Novel biomarkers for glycaemic deterioration in type 2 diabetes: an IMI RHAPSODY study , 2021, medRxiv.

[6]  N. Wareham,et al.  Plasma metabolites to profile pathways in noncommunicable disease multimorbidity , 2021, Nature Medicine.

[7]  P. Bennett,et al.  Associations of progression to diabetes and regression to normal glucose tolerance with development of cardiovascular and microvascular disease among people with impaired glucose tolerance: a secondary analysis of the 30 year Da Qing Diabetes Prevention Outcome Study , 2021, Diabetologia.

[8]  J. Shaw,et al.  Benefit of lifestyle-based T2DM prevention is influenced by prediabetes phenotype , 2020, Nature Reviews Endocrinology.

[9]  S. Saydah,et al.  Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016. , 2019, JAMA.

[10]  Stephen A. Williams,et al.  Plasma protein patterns as comprehensive indicators of health , 2019, Nature Medicine.

[11]  M. Woodward,et al.  Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of incident diabetes , 2019, BMJ Open Diabetes Research & Care.

[12]  N. Wareham,et al.  Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study) , 2019, International Journal of Behavioral Nutrition and Physical Activity.

[13]  M. Stumvoll,et al.  Circulating oxytocin is genetically determined and associated with obesity and impaired glucose tolerance. , 2019, The Journal of clinical endocrinology and metabolism.

[14]  J. Shaw,et al.  Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition. , 2019, Diabetes research and clinical practice.

[15]  Tingting Zhou,et al.  CILP-2 is a novel secreted protein and associated with insulin resistance , 2019, Journal of molecular cell biology.

[16]  P. Bennett,et al.  Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30-year results of the Da Qing Diabetes Prevention Outcome Study. , 2019, The lancet. Diabetes & endocrinology.

[17]  Eddy J. Bautista,et al.  Longitudinal multi-omics of host–microbe dynamics in prediabetes , 2019, Nature.

[18]  G. Weinstock,et al.  A Longitudinal Big Data Approach for Precision Health , 2019, Nature Medicine.

[19]  J. Perry,et al.  Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors , 2018, JAMA.

[20]  Y. Takwoingi,et al.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. , 2018, The Cochrane database of systematic reviews.

[21]  Anthony J. Payne,et al.  Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps , 2018, Nature Genetics.

[22]  L. Groop,et al.  Lessons learned from the 1‐hour post‐load glucose level during OGTT: Current screening recommendations for dysglycaemia should be revised , 2018, Diabetes/metabolism research and reviews.

[23]  J. Valabhji,et al.  Progress of the Healthier You: NHS Diabetes Prevention Programme: referrals, uptake and participant characteristics , 2017, Diabetic medicine : a journal of the British Diabetic Association.

[24]  S. Poppitt,et al.  Prevalence of Pre-Diabetes across Ethnicities: A Review of Impaired Fasting Glucose (IFG) and Impaired Glucose Tolerance (IGT) for Classification of Dysglycaemia , 2017, Nutrients.

[25]  Jianping Ding,et al.  Cbln1 and Cbln4 Are Structurally Similar but Differ in GluD2 Binding Interactions. , 2017, Cell reports.

[26]  R. Couture,et al.  Kininase 1 As a Preclinical Therapeutic Target for Kinin B1 Receptor in Insulin Resistance , 2017, Front. Pharmacol..

[27]  C. Cobelli,et al.  Oxytocin Improves β-Cell Responsivity and Glucose Tolerance in Healthy Men , 2016, Diabetes.

[28]  M. Blüher,et al.  Novel Function of Serine Protease HTRA1 in Inhibiting Adipogenic Differentiation of Human Mesenchymal Stem Cells via MAP Kinase‐Mediated MMP Upregulation , 2016, Stem cells.

[29]  Eric E. Schadt,et al.  variancePartition: interpreting drivers of variation in complex gene expression studies , 2016, BMC Bioinformatics.

[30]  Tom R. Gaunt,et al.  Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel , 2015, Nature Communications.

[31]  A. Liem,et al.  Glucose-dependent leukocyte activation in patients with type 2 diabetes mellitus, familial combined hyperlipidemia and healthy controls. , 2015, Metabolism: clinical and experimental.

[32]  Larry Gold,et al.  Nucleic Acid Ligands With Protein-like Side Chains: Modified Aptamers and Their Use as Diagnostic and Therapeutic Agents , 2014, Molecular therapy. Nucleic acids.

[33]  F. Reinholt,et al.  The Skeletal Phenotype of Chondroadherin Deficient Mice , 2013, PloS one.

[34]  Nicola Torelli,et al.  ROSE: a Package for Binary Imbalanced Learning , 2014, R J..

[35]  W. März,et al.  Isolated post-challenge hyperglycaemia predicts increased cardiovascular mortality. , 2012, Atherosclerosis.

[36]  Tanya M. Teslovich,et al.  Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways , 2012, Nature Genetics.

[37]  Harold I Feldman,et al.  Estimating glomerular filtration rate from serum creatinine and cystatin C. , 2012, The New England journal of medicine.

[38]  N Slimani,et al.  Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study , 2011, Diabetologia.

[39]  Yurii S. Aulchenko,et al.  PredictABEL: an R package for the assessment of risk prediction models , 2011, European Journal of Epidemiology.

[40]  Federica Madia,et al.  Growth Hormone Receptor Deficiency Is Associated with a Major Reduction in Pro-Aging Signaling, Cancer, and Diabetes in Humans , 2011, Science Translational Medicine.

[41]  S. Shoelson,et al.  Type 2 diabetes as an inflammatory disease , 2011, Nature Reviews Immunology.

[42]  Xavier Robin,et al.  pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.

[43]  S. Keinänen-Kiukaanniemi,et al.  Postchallenge Glucose, A1C, and Fasting Glucose as Predictors of Type 2 Diabetes and Cardiovascular Disease , 2010, Diabetes Care.

[44]  Tracy R. Keeney,et al.  Aptamer-based multiplexed proteomic technology for biomarker discovery , 2010, PloS one.

[45]  W. Rathmann,et al.  Prevalence of undiagnosed diabetes and impaired glucose regulation in 35–59‐year‐old individuals in Southern Germany: the KORA F4 Study , 2010, Diabetic medicine : a journal of the British Diabetic Association.

[46]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[47]  E. Ford,et al.  Prevalence of Diabetes and High Risk for Diabetes Using A1C Criteria in the U.S. Population in 1988–2006 , 2010, Diabetes Care.

[48]  J. Shaw,et al.  International Expert Committee Report on the Role of the A1C Assay in the Diagnosis of Diabetes , 2009, Diabetes Care.

[49]  W. Herman,et al.  Complications of dysglycemia and medical costs associated with nondiabetic hyperglycemia. , 2008, The American journal of managed care.

[50]  Max Kuhn,et al.  Building Predictive Models in R Using the caret Package , 2008 .

[51]  S. Taylor-Robinson,et al.  Non-invasive means of measuring hepatic fat content. , 2008, World journal of gastroenterology.

[52]  Nicholas J Wareham,et al.  A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a prospective cohort study. , 2008, Family practice.

[53]  Cynthia Balion,et al.  Annual incidence and relative risk of diabetes in people with various categories of dysglycemia: a systematic overview and meta-analysis of prospective studies. , 2007, Diabetes research and clinical practice.

[54]  Christine T. N. Pham,et al.  Neutrophil serine proteases: specific regulators of inflammation , 2006, Nature Reviews Immunology.

[55]  O. WIEDOW,et al.  Neutrophil serine proteases: potential key regulators of cell signalling during inflammation , 2005, Journal of internal medicine.

[56]  Michael Marmot,et al.  Cohort Profile: the Whitehall II study. , 2005, International journal of epidemiology.

[57]  Y. Jang,et al.  Standards of Medical Care in Diabetes-2010 by the American Diabetes Association: Prevention and Management of Cardiovascular Disease , 2010 .

[58]  G. Kreitzer,et al.  An Annexin 2 Phosphorylation Switch Mediates p11-dependent Translocation of Annexin 2 to the Cell Surface* , 2004, Journal of Biological Chemistry.

[59]  S. Fowler,et al.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. , 2002 .

[60]  B. Balkau The DECODE study. Diabetes epidemiology: collaborative analysis of diagnostic criteria in Europe. , 2000, Diabetes & metabolism.

[61]  J. Shaw,et al.  Isolated post-challenge hyperglycaemia confirmed as a risk factor for mortality , 1999, Diabetologia.

[62]  N. Day,et al.  EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. , 1999, British journal of cancer.

[63]  B. Månsson,et al.  Chondroadherin expression changes in skeletal development. , 1998, The Biochemical journal.