Carbohydrates and Related Biomarkers
CARB
A Feeding Study to Examine the Effect of Glycemic Load and Obesity on Cancer Biomarkers
3 other identifiers
interventional
89
1 country
1
Brief Summary
This study is designed to investigate associations of low- and high-glycemic load diets with biomarkers of hyperglycemia, hyperinsulinemia and inflammation, potential biomarkers for cancer risk.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable healthy
Started Jun 2006
Longer than P75 for not_applicable healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2006
CompletedFirst Submitted
Initial submission to the registry
February 14, 2008
CompletedFirst Posted
Study publicly available on registry
February 25, 2008
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2009
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2010
CompletedJanuary 5, 2012
January 1, 2012
3.1 years
February 14, 2008
January 4, 2012
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The primary endpoints of the study will be a set of inter-related biomarkers for hyperglycemia, hyperinsulinemia and inflammation, potential biomarkers for cancer risk.
two 4-week feeding periods (56 days total)
Secondary Outcomes (1)
Questionnaires will generate data on how these diets may influence mood or depression, sleep habits, and measures of appetite and satiety.
two 4-week feeding periods (56 days)
Study Arms (2)
1
OTHERNormal weight
2
OTHEROverweight
Interventions
Eligibility Criteria
You may qualify if:
- Healthy males and female subjects
- Between the ages of 18 to 45
- BMI between 18.5 kg/m2 to 24. 9 kg/m2 (normal weight) and between 28.0 kg/m2 to 39.9 kg/m2 (overweight)
- Willingness to refrain from alcohol during the study
- Able to come to the FHCRC in Seattle every weekday night for dinner
You may not qualify if:
- Younger than 18 years of age or older than 45 years of age.
- Do not fit into one of the study weight groups (normal weight and overweight): BMI \< 18.5 kg/m2 or \> 40.0 kg/m2, and between 25.0 kg/m2and 27.9 kg/m2
- Have diseases that are treated by diet and/or medications including but not limited to diabetes, kidney disease, heart disease
- Taking prescription medications every day (this includes women taking birth-control pills, shots, patch or IUD with hormones)
- Diagnosed with or treated for cancer within the previous five years (except those with a diagnosis and/or treatment of non-melanomatous skin cancer are eligible)
- Currently pregnant or breastfeeding or planning a pregnancy in the next 3 months.
- Using any tobacco products on a daily basis (cigarettes, pipes, cigars, chewing tobacco).
- Using recreational drugs
- Drinking the following amount of alcohol almost every day: 2 or more cans/bottles of beer OR 2 or more glasses of wine OR 3 or more ounces of hard liquor.
- Inability (e.g., food allergy or intolerances) or unwillingness to consume the foods that are part of the feeding study diet.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fred Hutchinson Cancer Centerlead
- National Cancer Institute (NCI)collaborator
Study Sites (1)
Fred Hutchinson Cancer Research Center
Seattle, Washington, 98109, United States
Related Publications (9)
Hullar MA, Kahsai O, Curtis KR, Navarro SL, Zhang Y, Randolph TW, Levy L, Shojaie A, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study. Am J Clin Nutr. 2025 Sep;122(3):780-792. doi: 10.1016/j.ajcnut.2025.06.026. Epub 2025 Jul 5.
PMID: 40619005DERIVEDDibay Moghadam S, Navarro SL, Shojaie A, Randolph TW, Bettcher LF, Le CB, Hullar MA, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Plasma lipidomic profiles after a low and high glycemic load dietary pattern in a randomized controlled crossover feeding study. Metabolomics. 2020 Nov 20;16(12):121. doi: 10.1007/s11306-020-01746-3.
PMID: 33219392DERIVEDNavarro SL, Tarkhan A, Shojaie A, Randolph TW, Gu H, Djukovic D, Osterbauer KJ, Hullar MA, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Plasma metabolomics profiles suggest beneficial effects of a low-glycemic load dietary pattern on inflammation and energy metabolism. Am J Clin Nutr. 2019 Oct 1;110(4):984-992. doi: 10.1093/ajcn/nqz169.
PMID: 31432072DERIVEDGinos BNR, Navarro SL, Schwarz Y, Gu H, Wang D, Randolph TW, Shojaie A, Hullar MAJ, Lampe PD, Kratz M, Neuhouser ML, Raftery D, Lampe JW. Circulating bile acids in healthy adults respond differently to a dietary pattern characterized by whole grains, legumes and fruits and vegetables compared to a diet high in refined grains and added sugars: A randomized, controlled, crossover feeding study. Metabolism. 2018 Jun;83:197-204. doi: 10.1016/j.metabol.2018.02.006. Epub 2018 Feb 17.
PMID: 29458053DERIVEDBreymeyer KL, Lampe JW, McGregor BA, Neuhouser ML. Subjective mood and energy levels of healthy weight and overweight/obese healthy adults on high-and low-glycemic load experimental diets. Appetite. 2016 Dec 1;107:253-259. doi: 10.1016/j.appet.2016.08.008. Epub 2016 Aug 6.
PMID: 27507131DERIVEDBarton S, Navarro SL, Buas MF, Schwarz Y, Gu H, Djukovic D, Raftery D, Kratz M, Neuhouser ML, Lampe JW. Targeted plasma metabolome response to variations in dietary glycemic load in a randomized, controlled, crossover feeding trial in healthy adults. Food Funct. 2015 Sep;6(9):2949-56. doi: 10.1039/c5fo00287g.
PMID: 26165375DERIVEDRunchey SS, Pollak MN, Valsta LM, Coronado GD, Schwarz Y, Breymeyer KL, Wang C, Wang CY, Lampe JW, Neuhouser ML. Glycemic load effect on fasting and post-prandial serum glucose, insulin, IGF-1 and IGFBP-3 in a randomized, controlled feeding study. Eur J Clin Nutr. 2012 Oct;66(10):1146-52. doi: 10.1038/ejcn.2012.107. Epub 2012 Aug 15.
PMID: 22892437DERIVEDChang KT, Lampe JW, Schwarz Y, Breymeyer KL, Noar KA, Song X, Neuhouser ML. Low glycemic load experimental diet more satiating than high glycemic load diet. Nutr Cancer. 2012;64(5):666-73. doi: 10.1080/01635581.2012.676143. Epub 2012 May 7.
PMID: 22564018DERIVEDNeuhouser ML, Schwarz Y, Wang C, Breymeyer K, Coronado G, Wang CY, Noar K, Song X, Lampe JW. A low-glycemic load diet reduces serum C-reactive protein and modestly increases adiponectin in overweight and obese adults. J Nutr. 2012 Feb;142(2):369-74. doi: 10.3945/jn.111.149807. Epub 2011 Dec 21.
PMID: 22190020DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marian Neuhouser, RD, PhD
Fred Hutchinson Cancer Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
Study Record Dates
First Submitted
February 14, 2008
First Posted
February 25, 2008
Study Start
June 1, 2006
Primary Completion
July 1, 2009
Study Completion
July 1, 2010
Last Updated
January 5, 2012
Record last verified: 2012-01