Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
124 participants
INTERVENTIONAL
2007-12-31
2016-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
BASIC_SCIENCE
DOUBLE
Study Groups
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carbohydrate load
Food challenge - Carbohydrate load
Carbohydrate load
Carbohydrate
Carbohydrate + Protein
Food challenge - carbohydrate + protein
Carbohydrate + Protein
Light Tuna Packed in water.
Carbohydrate + Fat
Food challenge - carbohydrate + fat
Carbohydrate + Fat
Butter
Fiber
Food challenge - carbohydrate + fiber
Fiber
Unrefined Carbohydrate
Interventions
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Carbohydrate + Protein
Light Tuna Packed in water.
Carbohydrate + Fat
Butter
Fiber
Unrefined Carbohydrate
Carbohydrate load
Carbohydrate
Eligibility Criteria
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Inclusion Criteria
* For Phase 2 (Studies 2, 3, 4, and 5) a total of 80 volunteers will be included, 20 volunteers per study. Phase 2 studies will be conducted in adult men and women (50 - 85 y) free of known chronic disease and with a BMI of 25 to 35 kg/m2.
* For Phase 3 (Study 6) a total of 20 volunteers will be included in the study. Phase 3 study will be conducted in adult men and women (50-85 y) free of known chronic disease and with a BMI of 25 to 35 kg/m2.
Exclusion Criteria
* Renal disease, as defined by a history of chronic kidney disease or by glomerular filtration rate of \< 60 ml.min/1.73 m2 calculated from screening blood tests.
* Liver disease, as defined by a history of chronic hepatitis B or C, cholestatic or cirrhotic liver disease, nonalcoholic fatty liver disease, elevations of serum glutamate pyruvate transaminase (SGPT) or serum glutamate oxaloacetate transaminase (SGOT) greater than 1.5 times the upper limit of normal at screening, bilirubin greater than 2 mg/dL (in the absence of benign causes of elevated bilirubin such as Gilbert's syndrome) at screening, or albumin below the lower limit of normal.
* Untreated hypertension, defined as systolic blood pressure (SBP) \> 140 mm and diastolic blood pressure (DBP) \> 90 mm.
* Irritable bowel syndrome.
* Malabsorptive disorder and inflammatory bowel disease.
* Disorders of esophageal and gastrointestinal motility, and previous esophageal or gastric resection.
* History of chronic pancreatitis, or history of acute pancreatitis within the last year.
* Hypothyroidism or hyperthyroidism, as defined as screening thyroid-stimulating hormone (TSH) outside of normal ranges.
* Anemia, as defined by screening hematocrit of 34% for women and 38% for men.
* Smoking within the past 6 months.
* Diabetes.
* Fasting glucose ≥ 125 mg/dL.
* Pregnancy.
* Breastfeeding.
* History of polycystic ovary syndrome
* History of autoimmune or other connective tissue disorders associated with chronic inflammation, such as rheumatoid arthritis.
* Alcohol consumption \> 7 drinks/week.
* Use of medications or supplements known to affect glucose metabolism.
* Use of medications or supplements known to affect lipid metabolism.
* Established cardiovascular disease (myocardial infarction, stroke, heart failure, coronary artery. bypass graft, stenosis \> 50%, peripheral arterial disease).
* Unwillingness to adhere to study protocol.
* Weight gain or loss of more than 15 lbs within 6 months prior to enrollment.
18 Years
85 Years
ALL
Yes
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
Tufts University
OTHER
Responsible Party
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Principal Investigators
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Alice H Lichtenstein, D.Sc.
Role: PRINCIPAL_INVESTIGATOR
JM USDA Human Nutrition Research Center on Aging at Tufts University
Locations
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Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
Boston, Massachusetts, United States
Countries
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References
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Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001 May 16;285(19):2486-97. doi: 10.1001/jama.285.19.2486. No abstract available.
Jenkins DJ, Wolever TM, Taylor RH, Barker H, Fielden H, Baldwin JM, Bowling AC, Newman HC, Jenkins AL, Goff DV. Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr. 1981 Mar;34(3):362-6. doi: 10.1093/ajcn/34.3.362.
Salmeron J, Manson JE, Stampfer MJ, Colditz GA, Wing AL, Willett WC. Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA. 1997 Feb 12;277(6):472-7. doi: 10.1001/jama.1997.03540300040031.
Salmeron J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, Jenkins DJ, Stampfer MJ, Wing AL, Willett WC. Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care. 1997 Apr;20(4):545-50. doi: 10.2337/diacare.20.4.545.
Amano Y, Kawakubo K, Lee JS, Tang AC, Sugiyama M, Mori K. Correlation between dietary glycemic index and cardiovascular disease risk factors among Japanese women. Eur J Clin Nutr. 2004 Nov;58(11):1472-8. doi: 10.1038/sj.ejcn.1601992.
Schulze MB, Liu S, Rimm EB, Manson JE, Willett WC, Hu FB. Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr. 2004 Aug;80(2):348-56. doi: 10.1093/ajcn/80.2.348.
Wolever TM, Csima A, Jenkins DJ, Wong GS, Josse RG. The glycemic index: variation between subjects and predictive difference. J Am Coll Nutr. 1989 Jun;8(3):235-47. doi: 10.1080/07315724.1989.10720298.
Wolever TM, Jenkins DJ, Josse RG, Wong GS, Lee R. The glycemic index: similarity of values derived in insulin-dependent and non-insulin-dependent diabetic patients. J Am Coll Nutr. 1987 Aug;6(4):295-305. doi: 10.1080/07315724.1987.10720191.
Jenkins DJ, Wolever TM, Wong GS, Kenshole A, Josse RG, Thompson LU, Lam KY. Glycemic responses to foods: possible differences between insulin-dependent and noninsulin-dependent diabetics. Am J Clin Nutr. 1984 Nov;40(5):971-81. doi: 10.1093/ajcn/40.5.971.
Foster-Powell K, Holt SH, Brand-Miller JC. International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr. 2002 Jul;76(1):5-56. doi: 10.1093/ajcn/76.1.5.
Wolever TM, Vorster HH, Bjorck I, Brand-Miller J, Brighenti F, Mann JI, Ramdath DD, Granfeldt Y, Holt S, Perry TL, Venter C, Xiaomei Wu. Determination of the glycaemic index of foods: interlaboratory study. Eur J Clin Nutr. 2003 Mar;57(3):475-82. doi: 10.1038/sj.ejcn.1601551.
Wolever TM, Jenkins DJ. The use of the glycemic index in predicting the blood glucose response to mixed meals. Am J Clin Nutr. 1986 Jan;43(1):167-72. doi: 10.1093/ajcn/43.1.167.
Vega-Lopez S, Ausman LM, Griffith JL, Lichtenstein AH. Interindividual variability and intra-individual reproducibility of glycemic index values for commercial white bread. Diabetes Care. 2007 Jun;30(6):1412-7. doi: 10.2337/dc06-1598. Epub 2007 Mar 23.
Meng H, Matthan NR, Ausman LM, Lichtenstein AH. Effect of prior meal macronutrient composition on postprandial glycemic responses and glycemic index and glycemic load value determinations. Am J Clin Nutr. 2017 Nov;106(5):1246-1256. doi: 10.3945/ajcn.117.162727. Epub 2017 Sep 13.
Meng H, Matthan NR, Ausman LM, Lichtenstein AH. Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations. Am J Clin Nutr. 2017 Apr;105(4):842-853. doi: 10.3945/ajcn.116.144162. Epub 2017 Feb 15.
Matthan NR, Ausman LM, Meng H, Tighiouart H, Lichtenstein AH. Estimating the reliability of glycemic index values and potential sources of methodological and biological variability. Am J Clin Nutr. 2016 Oct;104(4):1004-1013. doi: 10.3945/ajcn.116.137208. Epub 2016 Sep 7.
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