Metabolomics Biomarkers for Fatty Acid Intake and Biomarker-Calibrated Fatty Acid Associations with Chronic Disease Risk in Postmenopausal Women1.

[1]  J. Brüning,et al.  Contribution of specific ceramides to obesity-associated metabolic diseases , 2022, Cellular and Molecular Life Sciences.

[2]  R. Prentice,et al.  Biomarker-based Methods and Study Designs to Calibrate Dietary Intake for Assessing Diet-Disease Associations. , 2021, The Journal of nutrition.

[3]  J. Danesh,et al.  Dietary Fatty Acids, Macronutrient Substitutions, Food Sources and Incidence of Coronary Heart Disease: Findings From the EPIC‐CVD Case‐Cohort Study Across Nine European Countries , 2021, Journal of the American Heart Association.

[4]  R. Prentice,et al.  Evaluation of potential metabolomic-based biomarkers of protein, carbohydrate and fat intakes using a controlled feeding study , 2021, European Journal of Nutrition.

[5]  Jennifer G. Robinson,et al.  Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies , 2021, Nature Communications.

[6]  J. Manson,et al.  Biomarker-Calibrated Macronutrient Intake and Chronic Disease Risk among Postmenopausal Women. , 2021, The Journal of nutrition.

[7]  G. Lawrence Perspective: The Saturated Fat-Unsaturated Oil Dilemma: Relations of Dietary Fatty Acids and Serum Cholesterol, Atherosclerosis, Inflammation, Cancer, and All-Cause Mortality. , 2021, Advances in nutrition.

[8]  S. Summers,et al.  Ceramides in Metabolism: Key Lipotoxic Players. , 2020, Annual review of physiology.

[9]  S. Kersten,et al.  Transcriptomic signature of fasting in human adipose tissue. , 2020, Physiological genomics.

[10]  F. Song,et al.  Omega-3, omega-6 and total dietary polyunsaturated fat on cancer incidence: systematic review and meta-analysis of randomised trials , 2020, British Journal of Cancer.

[11]  D. Mozaffarian,et al.  Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality. , 2019, Circulation.

[12]  D. Mozaffarian,et al.  Omega-6 fatty acid biomarkers and incident type 2 diabetes: pooled analysis of individual-level data for 39 740 adults from 20 prospective cohort studies. , 2017, The lancet. Diabetes & endocrinology.

[13]  D. Schoeller,et al.  Dietary biomarker evaluation in a controlled feeding study in women from the Women's Health Initiative cohort. , 2017, The American journal of clinical nutrition.

[14]  Joseph Beyene,et al.  Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies , 2015, BMJ : British Medical Journal.

[15]  L. Hooper,et al.  Reduction in saturated fat intake for cardiovascular disease. , 2015, The Cochrane database of systematic reviews.

[16]  B. Fielding Tracing the fate of dietary fatty acids: metabolic studies of postprandial lipaemia in human subjects , 2011, Proceedings of the Nutrition Society.

[17]  F. Hu,et al.  Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. , 2010, The American journal of clinical nutrition.

[18]  D. Mozaffarian,et al.  Effects on Coronary Heart Disease of Increasing Polyunsaturated Fat in Place of Saturated Fat: A Systematic Review and Meta-Analysis of Randomized Controlled Trials , 2010, PLoS medicine.

[19]  Jennifer G. Robinson,et al.  Validity of diabetes self-reports in the Women's Health Initiative: comparison with medication inventories and fasting glucose measurements , 2008, Clinical trials.

[20]  Pamela A Shaw,et al.  Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. , 2008, American journal of epidemiology.

[21]  J. Manson,et al.  A prospective study of inflammatory cytokines and diabetes mellitus in a multiethnic cohort of postmenopausal women. , 2007, Archives of internal medicine.

[22]  J. Manson,et al.  Insulin Sensitivity and Insulin Secretion Determined by Homeostasis Model Assessment and Risk of Diabetes in a Multiethnic Cohort of Women , 2007, Diabetes Care.

[23]  Raymond J. Carroll,et al.  Measurement error in nonlinear models: a modern perspective , 2006 .

[24]  J. Manson,et al.  Dietary fat intake and risk of coronary heart disease in women: 20 years of follow-up of the nurses' health study. , 2005, American journal of epidemiology.

[25]  C. Kooperberg,et al.  Outcomes ascertainment and adjudication methods in the Women's Health Initiative. , 2003, Annals of epidemiology.

[26]  S. Bingham,et al.  Urine nitrogen as a biomarker for the validation of dietary protein intake. , 2003, The Journal of nutrition.

[27]  K. Frayn,et al.  Adipose tissue as a buffer for daily lipid flux , 2002, Diabetologia.

[28]  A. Kristal,et al.  Measurement characteristics of the Women's Health Initiative food frequency questionnaire. , 1999, Annals of epidemiology.

[29]  G A Colditz,et al.  Dietary fat intake and the risk of coronary heart disease in women. , 1997, The New England journal of medicine.

[30]  R. Prentice,et al.  Regression calibration in failure time regression. , 1997, Biometrics.

[31]  R. Prentice Covariate measurement errors and parameter estimation in a failure time regression model , 1982 .

[32]  OUP accepted manuscript , 2022, The Journal of Nutrition.

[33]  W. J. Howard Low-Fat Dietary Pattern and Risk of Cardiovascular Disease: The Women's Health Initiative Randomized Controlled Dietary Modification Trial , 2007 .

[34]  D A Schoeller,et al.  Reliability of the doubly labeled water method for the measurement of total daily energy expenditure in free-living subjects. , 1996, The Journal of nutrition.

[35]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[36]  D. Schoeller,et al.  American Journal of Epidemiology Practice of Epidemiology Evaluation and Comparison of Food Records, Recalls, and Frequencies for Energy and Protein Assessment by Using Recovery Biomarkers , 2022 .