Dietary Protein Sources and Atherogenic Dyslipidemia
Saturated Fat and Protein Effects on Atherogenic Dyslipidemia
1 other identifier
interventional
113
1 country
1
Brief Summary
There is growing epidemiological evidence that consumption of red meat is associated with greater incidence of Cardiovascular Disease (CVD) than either white meat or non-meat foods. Research from our group has shown that a high saturated fat (SF) diet with a moderate red meat content selectively increases intermediate density lipoproteins (IDL) and larger low density lipoproteins (LDLs), which are more weakly associated with CVD risk than smaller LDLs. In contrast, the investigators have found that with a similar intake of SF, high beef consumption results in a preferential increase in small and medium LDL particles that are strongly related to CVD. To date, no studies have directly compared the lipoprotein effects of red meat with that of other food sources of protein in the context of both high and low saturated fat intake. The overall objective of this project is to test the hypothesis that the effects of SF on lipoprotein markers of CVD risk are influenced by sources of dietary protein. The investigators hypothesize that adverse effects of SF on plasma levels of LDL-cholesterol (C), apolipoprotein B (apo B), and atherogenic LDL particles are greater in a diet with a high content of red meat than in diets in which the major proteins are from white meat (poultry) or non-meat sources. The investigators propose a clinical trial in which 180 healthy men and women will be randomized to high SF or low SF diet groups, and within each group, consume diets with equivalent amounts of protein from red meat, white meat, and non-meat sources for 4 wks each in random order. Specifically, the investigators will test whether: (1) With high SF, the red meat diet, compared to the other protein sources, will result in higher levels of LDL-C, apoB, small and medium LDL, and total/high density lipoprotein (HDL)C; (2) With low SF, dietary protein source will not be related to any of these measurements; (3) With both the white meat and non-meat protein diets, increased LDL-C with high vs. low SF will be due primarily to increases in large LDL, whereas with red meat the additional increase in small and medium LDL will result in greater increases in plasma apoB and total LDL particle number. Aim 4 will test hypotheses that increases in small and medium LDL with high SF plus red meat are related to increased activity of hepatic lipase, a key determinant of small LDL production, and that increases in large LDL induced by high SF are related to suppression of LDL receptors. The investigators will also assess the effects of protein source and saturated fat content on markers of insulin resistance, inflammation and endothelial function.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2012
Longer than P75 for not_applicable
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
First Submitted
Initial submission to the registry
August 31, 2011
CompletedFirst Posted
Study publicly available on registry
September 2, 2011
CompletedStudy Start
First participant enrolled
January 1, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2017
CompletedNovember 24, 2020
November 1, 2020
4.8 years
August 31, 2011
November 20, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Change from baseline in LDL-Cholesterol
6 weeks, 12 weeks, 18 weeks
Change from baseline in ApoB
6 weeks, 12 weeks, 18 weeks
Change from baseline in Small + Medium Sized LDL
6 weeks, 12 weeks, 18 weeks
Change from baseline in Total Cholesterol/HDL Cholesterol ratio
6 weeks, 12 weeks, 18 weeks
Secondary Outcomes (12)
Change from baseline in HDL-Cholesterol
6 weeks, 12 weeks, 18 weeks
Change from baseline in non-HDLC
6 weeks, 12 weeks, 18 weeks
Change from baseline in apoAI
6 weeks, 12 weeks, 18 weeks
Change from baseline in apoAII
6 weeks, 12 weeks, 18 weeks
Change from baseline in HDL2 Cholesterol
6 weeks, 12 weeks, 18 weeks
- +7 more secondary outcomes
Study Arms (6)
High Saturated Fat Red Meat Diet
EXPERIMENTALHigh Saturated Fat White Meat Diet
EXPERIMENTALHigh Saturated Fat Non-Meat Diet
EXPERIMENTALLow Saturated Fat Red Meat Diet
EXPERIMENTALLow Saturated Fat White Meat Diet
EXPERIMENTALLow Saturated Fat Non-Meat Diet
EXPERIMENTALInterventions
4 weeks of a high saturated fat red meat diet (38% carbohydrate; 25% protein (12% kcal from red meat protein); 37% fat (15% kcal from saturated fat))
4 weeks of a high saturated fat non-meat diet (38% carbohydrate; 25% protein (16% kcal from non-meat protein); 37% fat (15% kcal from saturated fat))
4 weeks of a high saturated fat white meat diet (38% carbohydrate; 25% protein (12% kcal from white meat protein); 37% fat (15% kcal from saturated fat))
4 weeks of a low saturated fat red meat diet (38% carbohydrate; 25% protein (12% kcal from red meat protein); 37% fat (7% kcal from saturated fat))
4 weeks of a low saturated fat white meat diet (38% carbohydrate; 25% protein (12% kcal from white meat protein); 37% fat (7% kcal from saturated fat))
4 weeks of a low saturated fat non-meat diet (38% carbohydrate; 25% protein (16% kcal from non-meat protein); 37% fat (7% kcal from saturated fat))
Eligibility Criteria
You may qualify if:
- years old
- Non-smoking
- Agrees to abstain from alcohol and dietary supplements during the study
- Willing to consume all study foods as instructed
You may not qualify if:
- History of heart disease, cerebrovascular disease, peripheral vascular disease, bleeding disorder, liver or renal disease, lung disease, diabetes, Human immunodeficiency virus (HIV), or cancer (other than skin cancer) in the last 5 years
- Body mass index (BMI) \> 35 kg/m2 or \< 20 kg/m2
- Not weight stable
- Abnormal thyroid stimulating hormone
- Blood pressure \> 150/90
- Fasting blood sugar \>126 mg/dl
- Fasting triglyceride levels \>500 mg/dl
- Total- and LDL cholesterol \>95th percentile for age and sex
- Pregnant or breastfeeding
- Taking hormones or drugs known to affect lipid metabolism
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cholesterol Research Center, Children's Hospital Research Institute
Berkeley, California, 94705, United States
Related Publications (2)
Ferrell M, Bazeley P, Wang Z, Levison BS, Li XS, Jia X, Krauss RM, Knight R, Lusis AJ, Garcia-Garcia JC, Hazen SL, Tang WHW. Fecal Microbiome Composition Does Not Predict Diet-Induced TMAO Production in Healthy Adults. J Am Heart Assoc. 2021 Nov 2;10(21):e021934. doi: 10.1161/JAHA.121.021934. Epub 2021 Oct 29.
PMID: 34713713DERIVEDBergeron N, Chiu S, Williams PT, M King S, Krauss RM. Effects of red meat, white meat, and nonmeat protein sources on atherogenic lipoprotein measures in the context of low compared with high saturated fat intake: a randomized controlled trial. Am J Clin Nutr. 2019 Jul 1;110(1):24-33. doi: 10.1093/ajcn/nqz035.
PMID: 31161217DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ronald M Krauss, MD
UCSF Benioff Children's Hospital Oakland
- PRINCIPAL INVESTIGATOR
Nathalie Bergeron, PhD
Children's Hospital Oakland Research Institiute
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 31, 2011
First Posted
September 2, 2011
Study Start
January 1, 2012
Primary Completion
November 1, 2016
Study Completion
May 1, 2017
Last Updated
November 24, 2020
Record last verified: 2020-11