The Effects of Consuming Palm Oil With Different Macronutrient Intakes on Blood Lipids
The Effects of Palm Oil Consumed Under Different Macronutrient Distributions on Circulating Lipoprotein and Fatty Acid Profiles
1 other identifier
interventional
24
1 country
1
Brief Summary
The purpose of this study is to determine the effects of palm oil when consumed as either part of a low carbohydrate diet or a high carbohydrate diet on blood lipids, cardiovascular health and inflammation. The study will help us better understand how the quality of saturated fat and the quantity of carbohydrate interact to impact blood lipids and cardiovascular health.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable cardiovascular-diseases
Started Nov 2016
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 17, 2016
CompletedFirst Posted
Study publicly available on registry
October 3, 2016
CompletedStudy Start
First participant enrolled
November 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2018
CompletedAugust 23, 2018
August 1, 2018
1.3 years
June 17, 2016
August 21, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Change in High-Density Lipoprotein (HDL) Particle Size between Canola Oil and Palm Oil Diet Phases (Part of the Lipoprotein Distribution)
The change in HDL particle size and the number of each size particle between Canola Oil and Palm Oil diets will be assessed by Nuclear Magnetic Resonance (NMR) spectroscopy
Assessed during the 3rd week of the canola oil and palm oil diet
Change in HDL Particle Size between Canola Oil and Butter Diet Phases (Part of the Lipoprotein Distribution)
The change in HDL particle size and the number of each size particle between Canola Oil and Butter diets will be assessed by Nuclear Magnetic Resonance (NMR) spectroscopy
Assessed during the 3rd week of the canola oil and butter diets
Change in Low-Density Lipoprotein (LDL) Particle Size between Canola Oil and Palm Oil Diet Phases (Part of the Lipoprotein Distribution)
The change in LDL particle size and the number of each size particle between Canola Oil and Palm Oil diets will be assessed by NMR spectroscopy
Assessed during the 3rd week of the canola oil and palm oil diets
Change in LDL Particle Size between Canola Oil and Butter Diet Phases (Part of the Lipoprotein Distribution)
The change in LDL particle size and the number of each size particle between Canola Oil and Palm Oil diets will be assessed by NMR spectroscopy
Assessed during the 3rd week of the canola oil and butter diets
Change in Very Low-Density Lipoprotein (VLDL) Particle Size between Canola Oil and Palm Oil Diet Phases (Part of the Lipoprotein Distribution)
The change in VLDL particle size and the number of each size particle between Canola Oil and Palm Oil diets will be assessed by NMR spectroscopy
Assessed during the 3rd week of the canola oil and palm oil diets
Change in VLDL Particle Size between Canola Oil and Butter Diet Phases (Part of the Lipoprotein Distribution)
The change in VLDL particle size and the number of each size particle between Canola and Butter diets will be assessed by NMR spectroscopy
Assessed during the 3rd week of the canola oil and butter diets
Secondary Outcomes (16)
Change in Insulin Sensitivity between the Canola Oil and Palm Oil Diet Phases
Assessed during the 3rd week of the canola oil and palm oil diets
Change in Insulin Sensitivity between the Canola Oil and Butter Diet Phases
Assessed during the 3rd week of the canola oil and butter diets
Change in Body Weight between the Canola Oil and Palm Oil Diet Phases
Assessed during the 3rd week of the canola oil and palm oil diets
Change in Body Weight between the Canola Oil and Butter Diet Phases
Assessed during the 3rd week of the canola oil and butter diets
Change in Body Composition (Percent of Lean Mass, Fat Mass and Bone Mass according to the 3-compartment Model) between the Canola Oil and Palm Oil Diet Phases
Assessed during the 3rd week of the canola oil and palm oil diets
- +11 more secondary outcomes
Other Outcomes (16)
Change in C-Reactive Protein between the Canola Oil and Palm Oil Diet Phases (Part of an Inflammatory Panel)
Assessed during the 3rd week of the canola oil and palm oil diets
Change in C-Reactive Protein between the Canola Oil and Butter Diet Phases (Part of an Inflammatory Panel)
Assessed during the 3rd week of the canola oil and butter diets
Change in Interleukin (IL)-1beta Protein between the Canola Oil and Palm Oil Diet Phases (Part of an Inflammatory Panel)
Assessed during the 3rd week of the canola oil and palm oil diets
- +13 more other outcomes
Study Arms (2)
Low Carbohydrate Diet
EXPERIMENTALHalf of the participants will be randomly assigned to this diet arm. The macronutrient composition of the diet will be (PRO (protein):CHO (carbohydrate):FAT, 18:8:74). There are three diet phases within this arm that use different fats as the primary cooking oil either canola oil, palm oil or butter. Each diet phase lasts for 3 weeks. At the end of each diet phase the testing battery completed at baseline will be repeated followed by a 2 week washout where subjects revert back to their usual diets. Canola oil is the low saturated fat control diet and is administered first. Participants then randomly begin either the palm oil or canola oil diet phases.
High Carbohydrate Diet
ACTIVE COMPARATORHalf of the participants will be randomly assigned to this diet arm. The macronutrient composition of the diet will be (PRO:CHO:FAT, 18:60:22). There are three diet phases within this arm that use different fats as the primary cooking oil either canola oil, palm oil or butter. Each diet phase lasts for 3 weeks. At the end of each diet phase the testing battery completed at baseline will be repeated followed by a 2 week washout where subjects revert back to their usual diets. Canola oil is the low saturated fat control diet and is administered first. Participants then randomly begin either the palm oil or canola oil diet phases.
Interventions
Subjects will be provided with all their meals prepared in our metabolic kitchen in order to control their diets. The major cooking oil used in food preparation will be canola oil. The meals will be tailored to the caloric needs of each individual in order to maintain their body weight.
Subjects will be provided with all their meals prepared in our metabolic kitchen in order to control their diets. The major cooking oil used in food preparation will be palm oil. The meals will be tailored to the caloric needs of each individual in order to maintain their body weight.
Subjects will be provided with all their meals prepared in our metabolic kitchen in order to control their diets. The major cooking oils used in food preparation will be butter. The meals will be tailored to the caloric needs of each individual in order to maintain their body weight.
Eligibility Criteria
You may qualify if:
- normocholesterolemic
You may not qualify if:
- hypercholesterolemia
- diabetes
- liver disease
- kidney disease
- other metabolic or endocrine dysfunction
- diagnosis of cancer within the previous 5 years
- hypertension
- current use of cholesterol reducing medications
- current use of diabetic medications
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Ohio State Universitylead
- Malaysia Palm Oil Boardcollaborator
Study Sites (1)
Physical Activity and Education Services (PAES) Building
Columbus, Ohio, 43210, United States
Related Publications (26)
Clarke R, Frost C, Collins R, Appleby P, Peto R. Dietary lipids and blood cholesterol: quantitative meta-analysis of metabolic ward studies. BMJ. 1997 Jan 11;314(7074):112-7. doi: 10.1136/bmj.314.7074.112.
PMID: 9006469BACKGROUNDde Lorgeril M, Salen P, Martin JL, Monjaud I, Delaye J, Mamelle N. Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation. 1999 Feb 16;99(6):779-85. doi: 10.1161/01.cir.99.6.779.
PMID: 9989963BACKGROUNDHoward BV, Van Horn L, Hsia J, Manson JE, Stefanick ML, Wassertheil-Smoller S, Kuller LH, LaCroix AZ, Langer RD, Lasser NL, Lewis CE, Limacher MC, Margolis KL, Mysiw WJ, Ockene JK, Parker LM, Perri MG, Phillips L, Prentice RL, Robbins J, Rossouw JE, Sarto GE, Schatz IJ, Snetselaar LG, Stevens VJ, Tinker LF, Trevisan M, Vitolins MZ, Anderson GL, Assaf AR, Bassford T, Beresford SA, Black HR, Brunner RL, Brzyski RG, Caan B, Chlebowski RT, Gass M, Granek I, Greenland P, Hays J, Heber D, Heiss G, Hendrix SL, Hubbell FA, Johnson KC, Kotchen JM. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. JAMA. 2006 Feb 8;295(6):655-66. doi: 10.1001/jama.295.6.655.
PMID: 16467234BACKGROUNDKrauss RM. Lipoprotein subfractions and cardiovascular disease risk. Curr Opin Lipidol. 2010 Aug;21(4):305-11. doi: 10.1097/MOL.0b013e32833b7756.
PMID: 20531184BACKGROUNDCromwell WC, Otvos JD, Keyes MJ, Pencina MJ, Sullivan L, Vasan RS, Wilson PW, D'Agostino RB. LDL Particle Number and Risk of Future Cardiovascular Disease in the Framingham Offspring Study - Implications for LDL Management. J Clin Lipidol. 2007 Dec;1(6):583-92. doi: 10.1016/j.jacl.2007.10.001.
PMID: 19657464BACKGROUNDWarensjo E, Riserus U, Vessby B. Fatty acid composition of serum lipids predicts the development of the metabolic syndrome in men. Diabetologia. 2005 Oct;48(10):1999-2005. doi: 10.1007/s00125-005-1897-x. Epub 2005 Aug 13.
PMID: 16132958BACKGROUNDZong G, Zhu J, Sun L, Ye X, Lu L, Jin Q, Zheng H, Yu Z, Zhu Z, Li H, Sun Q, Lin X. Associations of erythrocyte fatty acids in the de novo lipogenesis pathway with risk of metabolic syndrome in a cohort study of middle-aged and older Chinese. Am J Clin Nutr. 2013 Aug;98(2):319-26. doi: 10.3945/ajcn.113.061218. Epub 2013 Jun 26.
PMID: 23803879BACKGROUNDHodge AM, English DR, O'Dea K, Sinclair AJ, Makrides M, Gibson RA, Giles GG. Plasma phospholipid and dietary fatty acids as predictors of type 2 diabetes: interpreting the role of linoleic acid. Am J Clin Nutr. 2007 Jul;86(1):189-97. doi: 10.1093/ajcn/86.1.189.
PMID: 17616780BACKGROUNDWang L, Folsom AR, Zheng ZJ, Pankow JS, Eckfeldt JH; ARIC Study Investigators. Plasma fatty acid composition and incidence of diabetes in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Clin Nutr. 2003 Jul;78(1):91-8. doi: 10.1093/ajcn/78.1.91.
PMID: 12816776BACKGROUNDKroger J, Zietemann V, Enzenbach C, Weikert C, Jansen EH, Doring F, Joost HG, Boeing H, Schulze MB. Erythrocyte membrane phospholipid fatty acids, desaturase activity, and dietary fatty acids in relation to risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Am J Clin Nutr. 2011 Jan;93(1):127-42. doi: 10.3945/ajcn.110.005447. Epub 2010 Oct 27.
PMID: 20980488BACKGROUNDPatel PS, Sharp SJ, Jansen E, Luben RN, Khaw KT, Wareham NJ, Forouhi NG. Fatty acids measured in plasma and erythrocyte-membrane phospholipids and derived by food-frequency questionnaire and the risk of new-onset type 2 diabetes: a pilot study in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohort. Am J Clin Nutr. 2010 Nov;92(5):1214-22. doi: 10.3945/ajcn.2010.29182. Epub 2010 Sep 22.
PMID: 20861175BACKGROUNDVessby B, Aro A, Skarfors E, Berglund L, Salminen I, Lithell H. The risk to develop NIDDM is related to the fatty acid composition of the serum cholesterol esters. Diabetes. 1994 Nov;43(11):1353-7. doi: 10.2337/diab.43.11.1353.
PMID: 7926311BACKGROUNDMahendran Y, Agren J, Uusitupa M, Cederberg H, Vangipurapu J, Stancakova A, Schwab U, Kuusisto J, Laakso M. Association of erythrocyte membrane fatty acids with changes in glycemia and risk of type 2 diabetes. Am J Clin Nutr. 2014 Jan;99(1):79-85. doi: 10.3945/ajcn.113.069740. Epub 2013 Oct 23.
PMID: 24153340BACKGROUNDMiettinen TA, Naukkarinen V, Huttunen JK, Mattila S, Kumlin T. Fatty-acid composition of serum lipids predicts myocardial infarction. Br Med J (Clin Res Ed). 1982 Oct 9;285(6347):993-6. doi: 10.1136/bmj.285.6347.993.
PMID: 6812744BACKGROUNDSimon JA, Hodgkins ML, Browner WS, Neuhaus JM, Bernert JT Jr, Hulley SB. Serum fatty acids and the risk of coronary heart disease. Am J Epidemiol. 1995 Sep 1;142(5):469-76. doi: 10.1093/oxfordjournals.aje.a117662.
PMID: 7677125BACKGROUNDWang L, Folsom AR, Eckfeldt JH. Plasma fatty acid composition and incidence of coronary heart disease in middle aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. Nutr Metab Cardiovasc Dis. 2003 Oct;13(5):256-66. doi: 10.1016/s0939-4753(03)80029-7.
PMID: 14717057BACKGROUNDYamagishi K, Nettleton JA, Folsom AR; ARIC Study Investigators. Plasma fatty acid composition and incident heart failure in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. Am Heart J. 2008 Nov;156(5):965-74. doi: 10.1016/j.ahj.2008.06.017. Epub 2008 Aug 29.
PMID: 19061714BACKGROUNDChowdhury R, Warnakula S, Kunutsor S, Crowe F, Ward HA, Johnson L, Franco OH, Butterworth AS, Forouhi NG, Thompson SG, Khaw KT, Mozaffarian D, Danesh J, Di Angelantonio E. Association of dietary, circulating, and supplement fatty acids with coronary risk: a systematic review and meta-analysis. Ann Intern Med. 2014 Mar 18;160(6):398-406. doi: 10.7326/M13-1788.
PMID: 24723079BACKGROUNDChavarro JE, Kenfield SA, Stampfer MJ, Loda M, Campos H, Sesso HD, Ma J. Blood levels of saturated and monounsaturated fatty acids as markers of de novo lipogenesis and risk of prostate cancer. Am J Epidemiol. 2013 Oct 15;178(8):1246-55. doi: 10.1093/aje/kwt136. Epub 2013 Aug 28.
PMID: 23989197BACKGROUNDForsythe CE, Phinney SD, Fernandez ML, Quann EE, Wood RJ, Bibus DM, Kraemer WJ, Feinman RD, Volek JS. Comparison of low fat and low carbohydrate diets on circulating fatty acid composition and markers of inflammation. Lipids. 2008 Jan;43(1):65-77. doi: 10.1007/s11745-007-3132-7. Epub 2007 Nov 29.
PMID: 18046594BACKGROUNDForsythe CE, Phinney SD, Feinman RD, Volk BM, Freidenreich D, Quann E, Ballard K, Puglisi MJ, Maresh CM, Kraemer WJ, Bibus DM, Fernandez ML, Volek JS. Limited effect of dietary saturated fat on plasma saturated fat in the context of a low carbohydrate diet. Lipids. 2010 Oct;45(10):947-62. doi: 10.1007/s11745-010-3467-3. Epub 2010 Sep 7.
PMID: 20820932BACKGROUNDVolek JS, Phinney SD, Forsythe CE, Quann EE, Wood RJ, Puglisi MJ, Kraemer WJ, Bibus DM, Fernandez ML, Feinman RD. Carbohydrate restriction has a more favorable impact on the metabolic syndrome than a low fat diet. Lipids. 2009 Apr;44(4):297-309. doi: 10.1007/s11745-008-3274-2. Epub 2008 Dec 12.
PMID: 19082851BACKGROUNDVolk BM, Kunces LJ, Freidenreich DJ, Kupchak BR, Saenz C, Artistizabal JC, Fernandez ML, Bruno RS, Maresh CM, Kraemer WJ, Phinney SD, Volek JS. Effects of step-wise increases in dietary carbohydrate on circulating saturated Fatty acids and palmitoleic Acid in adults with metabolic syndrome. PLoS One. 2014 Nov 21;9(11):e113605. doi: 10.1371/journal.pone.0113605. eCollection 2014.
PMID: 25415333BACKGROUNDFriedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972 Jun;18(6):499-502. No abstract available.
PMID: 4337382BACKGROUNDMatthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985 Jul;28(7):412-9. doi: 10.1007/BF00280883.
PMID: 3899825BACKGROUNDOtvos JD, Jeyarajah EJ, Bennett DW, Krauss RM. Development of a proton nuclear magnetic resonance spectroscopic method for determining plasma lipoprotein concentrations and subspecies distributions from a single, rapid measurement. Clin Chem. 1992 Sep;38(9):1632-8.
PMID: 1326420BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jeff S Volek, Ph.D.
Ohio State University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
June 17, 2016
First Posted
October 3, 2016
Study Start
November 1, 2016
Primary Completion
March 1, 2018
Study Completion
March 1, 2018
Last Updated
August 23, 2018
Record last verified: 2018-08
Data Sharing
- IPD Sharing
- Will not share
There is no plan to share data with other scientists but participants will be provided with their own individual data when the study is complete.