Proteomic signatures for identification of impaired glucose tolerance
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Matthew J. Westacott | N. Wareham | C. Langenberg | M. Kivimaki | E. Wheeler | N. Kerrison | D. Drolet | R. Ostroff | M. Pietzner | E. Oerton | J. Lindbohm | Steve A Williams | J. Carrasco-Zanini | Missy Simpson | M. Westacott | Stephen A Williams | Joni V. Lindbohm | Maik Pietzner
[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.