NCT05072587

Brief Summary

African Americans (AAs) have a higher risk of developing type 2 diabetes than the general population. AAs are also more likely to eat foods that contain cholesterol oxides/oxysterols. Dietary oxysterols can harm the cells that produce insulin and decrease insulin production. This pilot study seeks to determine if removing dietary oxysterols with a plant-based diet will improve insulin production and decrease the risk of type 2 diabetes among AAs.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
12

participants targeted

Target at below P25 for not_applicable type-2-diabetes

Timeline
Completed

Started Jul 2021

Typical duration for not_applicable type-2-diabetes

Geographic Reach
1 country

1 active site

Status
completed

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

July 1, 2021

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

September 24, 2021

Completed
17 days until next milestone

First Posted

Study publicly available on registry

October 11, 2021

Completed
2.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

April 17, 2026

Status Verified

April 1, 2026

Enrollment Period

2.5 years

First QC Date

September 24, 2021

Last Update Submit

April 14, 2026

Conditions

Keywords

Beta-cell dysfunction oxysterols African Americans

Outcome Measures

Primary Outcomes (3)

  • The Homeostasis Model Assessment of β-cell function (HOMA-B) Index

    The HOMA-B index will be calculated using the HOMA2 Calculator with fasting C-peptide and fasting blood glucose levels. This study will compare the effect of the standard American Diabetes Association (ADA) diet that contains oxysterols and a plant-based ADA diet that does not contain oxysterols on the HOMA-B index of African Americans (AAs) with prediabetes and early diabetes.

    8 Weeks

  • Glycated Hemoglobin (HbA1c)

    HbA1c is a measure of glycemic control. This study will compare the effect of the standard ADA diet that contains oxysterols and a plant-based ADA diet without oxysterols on the HbA1c of AAs with HbA1c levels between 5.7% and 7.0%.

    8 weeks C-peptide levels are elevated in renal failure It is produced in equim C

  • Serum 7-Ketocholesterol (7-KC)

    7-KC is one of the most abundant oxysterols in food and serum. This study will compare the effect of a standard ADA diet with oxysterols and a plant-based ADA diet without oxysterols on serum 7-KC levels. 7-KC will be measured by tandem liquid chromatography /mass spectrometry at the Emory Lipidomics lab.

    8 weeks

Secondary Outcomes (23)

  • The Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Index

    8 Weeks

  • Fasting Insulin

    8 weeks

  • Fasting C-Peptide

    8 weeks

  • Fasting Blood Glucose

    8 weeks

  • Total cholesterol (TC)

    8 weeks

  • +18 more secondary outcomes

Study Arms (2)

Group A - Standard ADA dietary guidelines (SADA)

ACTIVE COMPARATOR

Participants in this group will be given prepared meals based on standard ADA dietary guidelines for 8 weeks.

Behavioral: Standard ADA Diet (SADA)

Group B - Plant Based ADA diet with no oxysterols (PB-ADAØ).

EXPERIMENTAL

Participants in this group will be given prepared meals based on ADA guidelines but with no dietary cholesterol oxides/oxysterols - Plant-based ADA diet

Behavioral: Plant-based diet with no oxysterols

Interventions

This group will be given prepared plant-based meals that exclude all cholesterol oxides/oxysterols, adhere to the ADA guidelines, and meet specified daily calorie levels based on age and sex. Macronutrient levels for the diet will fall within the Acceptable Macronutrient Distribution Range for fat (20-35%), protein (10-35%), and carbohydrate (45-65%). The goal is weight maintenance, but weight loss may occur. A 1-5% weight loss will be acceptable and not deemed a potential confounder. Participants will be screened for food allergies and intolerances prior to receiving their research diets. All meals will include culturally familiar foods to enhance adherence. The dietary intervention will be conducted over an 8-week period. Meals will be packaged labeled and distributed to participants once per week. Participants will consume their meals at home.

Also known as: Cholesterol Oxide-free plant-based diet
Group B - Plant Based ADA diet with no oxysterols (PB-ADAØ).

This group will be given prepared meals that adhere to the ADA guidelines and meet specified daily calorie levels based on age and sex. Macronutrient levels for the diet will fall within the Acceptable Macronutrient Distribution Range for fat (20-35%), protein (10-35%), and carbohydrate (45-65%). The goal is weight maintenance, but weight loss may occur. A 1-5% weight loss will be acceptable and not deemed a potential confounder. Participants will be screened for food allergies and intolerances prior to receiving their research diets. All meals will include culturally familiar foods to enhance adherence. The dietary intervention will be conducted over an 8-week period. Meals will be packaged labeled and distributed to participants once per week. Participants will consume their meals at home.

Also known as: ADA Diet
Group A - Standard ADA dietary guidelines (SADA)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • HbA1c: 5.7% - 7.0%: This HbA1c range reflects mild to moderate β-cell dysfunction.
  • Self-identified AA: This group has higher rates of T2D than the general population.
  • Adults over18 years old: This age group is at higher risk of T2D.
  • Ability to read, understand and communicate effectively in English: All information about the study and instructions for the study protocol will be in English.
  • Committed to eating the allocated study diet for 12 weeks: This is important to ensure that the study protocol is followed, and the data collected from participants is meaningful/valid.
  • On stable medication dosages for the three months prior to recruitment: This is to avoid bias or confounding with new medications or dosages changes.
  • Able to safely store a week's supply of prepared meals: Participants will receive packages of prepared food that has to stored and last them for the following week.
  • Mentally competent and able to follow the study protocol and provide informed consent
  • Currently eating the Standard American diet: The baseline diet of the participants will be assessed and correlated their baseline serum 7-KC levels and HOMA2 Index of β-cell function.

You may not qualify if:

  • Be pregnant or lactating: Fetuses and breast-feeding infants are a protected vulnerable group. The risk of involving them in research must outweigh the benefits, Hormonal levels and other factors in pregnant and lactating woman may confound study results.
  • Be taking statin medications or any other cholesterol lowering drugs or supplements: These medications may artificially lower serum cholesterol and oxysterol levels.
  • Be currently on a vegan, vegetarian, or any type of plant-based diet for the 3 months prior to recruitment: Participants currently on these diets may not see significant changes on the dietary interventions of the study protocol.
  • Be a current smoker: Smoking is a risk factor for oxidative stress - this could be an effect modifier or a confounding faction for this study.
  • Be on medications or supplements to lower blood glucose or treat diabetes: This will be an effect modifier or confounding factor. We will not know the effect of the dietary intervention if the participants are also on medications for diabetes.
  • Be status post blood transfusion in the previous 3 months: This will interfere with the test for HbA1c levels. This is one of our primary outcomes:
  • Have a hemoglobin or any other blood disorder: This will interfere with the test for HBA1c which measures glycation of hemoglobin in red blood cells.:
  • Be taking biotin supplements: This interferes with the test for fasting C-Peptide.
  • Be on dialysis or have any stage of renal failure: Dialysis patients need special diets and more intense monitoring than is planned for the participants in this study.
  • Have food allergies: Participants will be screened for food allergies. This is to prevent food sensitivities or adverse reactions to the prepared meals in the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Morehouse School of Medicine

Atlanta, Georgia, 30310, United States

Location

Related Publications (46)

  • Diabetes and African Americans, CDC 2016. Summary Health Statistics: National Health Interview Survey: 2014. US Department of Health and Human Services, Office of Minority Health website. http://www.cdc.gov/nchs/nhis/shs/tables.htm

    BACKGROUND
  • Benoit SR, Hora I, Albright AL, Gregg EW. New directions in incidence and prevalence of diagnosed diabetes in the USA. BMJ Open Diabetes Res Care. 2019 May 28;7(1):e000657. doi: 10.1136/bmjdrc-2019-000657. eCollection 2019.

    PMID: 31245008BACKGROUND
  • Staimez LR, Rhee MK, Deng Y, Safo SE, Butler SM, Legvold BT, Jackson SL, Ford CN, Wilson PWF, Long Q, Phillips LS. Retinopathy develops at similar glucose levels but higher HbA1c levels in people with black African ancestry compared to white European ancestry: evidence for the need to individualize HbA1c interpretation. Diabet Med. 2020 Jun;37(6):1049-1057. doi: 10.1111/dme.14289. Epub 2020 Apr 25.

    PMID: 32125000BACKGROUND
  • Chen C, Cohrs CM, Stertmann J, Bozsak R, Speier S. Human beta cell mass and function in diabetes: Recent advances in knowledge and technologies to understand disease pathogenesis. Mol Metab. 2017 Jul 8;6(9):943-957. doi: 10.1016/j.molmet.2017.06.019. eCollection 2017 Sep.

    PMID: 28951820BACKGROUND
  • Boughton CK, Munro N, Whyte M. Targeting beta-cell preservation in the management of type 2 diabetes. British Journal of Diabetes and Vascular Disease. Published online 2017. doi:10.15277/bjd.2017.148

    BACKGROUND
  • Butler AE, Janson J, Bonner-Weir S, Ritzel R, Rizza RA, Butler PC. Beta-cell deficit and increased beta-cell apoptosis in humans with type 2 diabetes. Diabetes. 2003 Jan;52(1):102-10. doi: 10.2337/diabetes.52.1.102.

    PMID: 12502499BACKGROUND
  • Saisho Y. Importance of Beta Cell Function for the Treatment of Type 2 Diabetes. J Clin Med. 2014 Aug 14;3(3):923-43. doi: 10.3390/jcm3030923.

    PMID: 26237486BACKGROUND
  • Saisho Y. An emerging new concept for the management of type 2 diabetes with a paradigm shift from the glucose-centric to beta cell-centric concept of diabetes - an Asian perspective. Expert Opin Pharmacother. 2020 Sep;21(13):1565-1578. doi: 10.1080/14656566.2020.1776262. Epub 2020 Jun 10.

    PMID: 32521177BACKGROUND
  • RISE Consortium. Lack of Durable Improvements in beta-Cell Function Following Withdrawal of Pharmacological Interventions in Adults With Impaired Glucose Tolerance or Recently Diagnosed Type 2 Diabetes. Diabetes Care. 2019 Sep;42(9):1742-1751. doi: 10.2337/dc19-0556. Epub 2019 Jun 9.

    PMID: 31178434BACKGROUND
  • Standl E. The importance of beta-cell management in type 2 diabetes. Int J Clin Pract Suppl. 2007 Jun;(153):10-9. doi: 10.1111/j.1742-1241.2007.01360.x.

    PMID: 17594389BACKGROUND
  • Kahleova H, Tura A, Hill M, Holubkov R, Barnard ND. A Plant-Based Dietary Intervention Improves Beta-Cell Function and Insulin Resistance in Overweight Adults: A 16-Week Randomized Clinical Trial. Nutrients. 2018 Feb 9;10(2):189. doi: 10.3390/nu10020189.

    PMID: 29425120BACKGROUND
  • Zhyzhneuskaya SV, Al-Mrabeh A, Peters C, Barnes A, Aribisala B, Hollingsworth KG, McConnachie A, Sattar N, Lean MEJ, Taylor R. Time Course of Normalization of Functional beta-Cell Capacity in the Diabetes Remission Clinical Trial After Weight Loss in Type 2 Diabetes. Diabetes Care. 2020 Apr;43(4):813-820. doi: 10.2337/dc19-0371. Epub 2020 Feb 14.

    PMID: 32060017BACKGROUND
  • Lean MEJ, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, Peters C, Zhyzhneuskaya S, Al-Mrabeh A, Hollingsworth KG, Rodrigues AM, Rehackova L, Adamson AJ, Sniehotta FF, Mathers JC, Ross HM, McIlvenna Y, Welsh P, Kean S, Ford I, McConnachie A, Messow CM, Sattar N, Taylor R. Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol. 2019 May;7(5):344-355. doi: 10.1016/S2213-8587(19)30068-3. Epub 2019 Mar 6.

    PMID: 30852132BACKGROUND
  • Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393-403. doi: 10.1056/NEJMoa012512.

    PMID: 11832527BACKGROUND
  • Davis BC, Jamshed H, Peterson CM, Sabate J, Harris RD, Koratkar R, Spence JW, Kelly JH Jr. An Intensive Lifestyle Intervention to Treat Type 2 Diabetes in the Republic of the Marshall Islands: Protocol for a Randomized Controlled Trial. Front Nutr. 2019 Jun 5;6:79. doi: 10.3389/fnut.2019.00079. eCollection 2019.

    PMID: 31231656BACKGROUND
  • Glechner A, Keuchel L, Affengruber L, Titscher V, Sommer I, Matyas N, Wagner G, Kien C, Klerings I, Gartlehner G. Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis. Prim Care Diabetes. 2018 Oct;12(5):393-408. doi: 10.1016/j.pcd.2018.07.003. Epub 2018 Aug 1.

    PMID: 30076075BACKGROUND
  • Tonstad S, Stewart K, Oda K, Batech M, Herring RP, Fraser GE. Vegetarian diets and incidence of diabetes in the Adventist Health Study-2. Nutr Metab Cardiovasc Dis. 2013 Apr;23(4):292-9. doi: 10.1016/j.numecd.2011.07.004. Epub 2011 Oct 7.

    PMID: 21983060BACKGROUND
  • Abderrahmani A, Niederhauser G, Favre D, Abdelli S, Ferdaoussi M, Yang JY, Regazzi R, Widmann C, Waeber G. Human high-density lipoprotein particles prevent activation of the JNK pathway induced by human oxidised low-density lipoprotein particles in pancreatic beta cells. Diabetologia. 2007 Jun;50(6):1304-14. doi: 10.1007/s00125-007-0642-z. Epub 2007 Apr 17.

    PMID: 17437081BACKGROUND
  • Plaisance V, Brajkovic S, Tenenbaum M, Favre D, Ezanno H, Bonnefond A, Bonner C, Gmyr V, Kerr-Conte J, Gauthier BR, Widmann C, Waeber G, Pattou F, Froguel P, Abderrahmani A. Endoplasmic Reticulum Stress Links Oxidative Stress to Impaired Pancreatic Beta-Cell Function Caused by Human Oxidized LDL. PLoS One. 2016 Sep 16;11(9):e0163046. doi: 10.1371/journal.pone.0163046. eCollection 2016.

    PMID: 27636901BACKGROUND
  • Lee DH. Lipoproteins and beta-Cell Functions: From Basic to Clinical Data. Diabetes Metab J. 2014 Aug;38(4):274-7. doi: 10.4093/dmj.2014.38.4.274. No abstract available.

    PMID: 25215273BACKGROUND
  • Nakhjavani M, Khalilzadeh O, Khajeali L, Esteghamati A, Morteza A, Jamali A, Dadkhahipour S. Serum oxidized-LDL is associated with diabetes duration independent of maintaining optimized levels of LDL-cholesterol. Lipids. 2010 Apr;45(4):321-7. doi: 10.1007/s11745-010-3401-8. Epub 2010 Mar 12.

    PMID: 20224977BACKGROUND
  • Wang J, Wang H. Oxidative Stress in Pancreatic Beta Cell Regeneration. Oxid Med Cell Longev. 2017;2017:1930261. doi: 10.1155/2017/1930261. Epub 2017 Aug 3.

    PMID: 28845211BACKGROUND
  • Samadi A, Gurlek A, Sendur SN, Karahan S, Akbiyik F, Lay I. Oxysterol species: reliable markers of oxidative stress in diabetes mellitus. J Endocrinol Invest. 2019 Jan;42(1):7-17. doi: 10.1007/s40618-018-0873-5. Epub 2018 Mar 21.

    PMID: 29564756BACKGROUND
  • Ferderbar S, Pereira EC, Apolinario E, Bertolami MC, Faludi A, Monte O, Calliari LE, Sales JE, Gagliardi AR, Xavier HT, Abdalla DS. Cholesterol oxides as biomarkers of oxidative stress in type 1 and type 2 diabetes mellitus. Diabetes Metab Res Rev. 2007 Jan;23(1):35-42. doi: 10.1002/dmrr.645.

    PMID: 16634125BACKGROUND
  • Maldonado-Pereira L, Schweiss M, Barnaba C, Medina-Meza IG. The role of cholesterol oxidation products in food toxicity. Food Chem Toxicol. 2018 Aug;118:908-939. doi: 10.1016/j.fct.2018.05.059. Epub 2018 Jun 27.

    PMID: 29940280BACKGROUND
  • J. V. Vicente S, Sampaio G, Ferrari C, Torres E. Oxidation of Cholesterol in Foods and Its Importance for Human Health. Vol 28.; 2012. doi:10.1080/87559129.2011.594972

    BACKGROUND
  • Lyons MA, Samman S, Gatto L, Brown AJ. Rapid hepatic metabolism of 7-ketocholesterol in vivo: implications for dietary oxysterols. J Lipid Res. 1999 Oct;40(10):1846-57.

    PMID: 10508204BACKGROUND
  • Staprans I, Pan XM, Rapp JH, Feingold KR. The role of dietary oxidized cholesterol and oxidized fatty acids in the development of atherosclerosis. Mol Nutr Food Res. 2005 Nov;49(11):1075-82. doi: 10.1002/mnfr.200500063.

    PMID: 16270280BACKGROUND
  • Morel DW, Lin CY. Cellular biochemistry of oxysterols derived from the diet or oxidation in vivo. Journal of Nutritional Biochemistry. Published online 1996. doi:10.1016/0955-2863(96)00101-5

    BACKGROUND
  • Linseisen J, Wolfram G. Absorption of cholesterol oxidation products from ordinary foodstuff in humans. Ann Nutr Metab. 1998;42(4):221-30. doi: 10.1159/000012737.

    PMID: 9745108BACKGROUND
  • Zmyslowski A, Szterk A. Oxysterols as a biomarker in diseases. Clin Chim Acta. 2019 Apr;491:103-113. doi: 10.1016/j.cca.2019.01.022. Epub 2019 Jan 24.

    PMID: 30685361BACKGROUND
  • Endo K, Oyama T, Saiki A, Ban N, Ohira M, Koide N, Murano T, Watanabe H, Nishii M, Miura M, Sekine K, Miyashita Y, Shirai K. Determination of serum 7-ketocholesterol concentrations and their relationships with coronary multiple risks in diabetes mellitus. Diabetes Res Clin Pract. 2008 Apr;80(1):63-8. doi: 10.1016/j.diabres.2007.10.023. Epub 2008 Jan 22.

    PMID: 18207277BACKGROUND
  • Indaram M, Ma W, Zhao L, Fariss RN, Rodriguez IR, Wong WT. 7-Ketocholesterol increases retinal microglial migration, activation, and angiogenicity: a potential pathogenic mechanism underlying age-related macular degeneration. Sci Rep. 2015 Mar 16;5:9144. doi: 10.1038/srep09144.

    PMID: 25775051BACKGROUND
  • Fu D, Wu M, Zhang J, Du M, Yang S, Hammad SM, Wilson K, Chen J, Lyons TJ. Mechanisms of modified LDL-induced pericyte loss and retinal injury in diabetic retinopathy. Diabetologia. 2012 Nov;55(11):3128-40. doi: 10.1007/s00125-012-2692-0. Epub 2012 Aug 31.

    PMID: 22935961BACKGROUND
  • Weigel TK, Kulas JA, Ferris HA. Oxidized cholesterol species as signaling molecules in the brain: diabetes and Alzheimer's disease. Neuronal Signal. 2019 Dec;3(4):NS20190068. doi: 10.1042/NS20190068. Epub 2019 Nov 28.

    PMID: 32269839BACKGROUND
  • Odegaard AO, Jacobs DR Jr, Sanchez OA, Goff DC Jr, Reiner AP, Gross MD. Oxidative stress, inflammation, endothelial dysfunction and incidence of type 2 diabetes. Cardiovasc Diabetol. 2016 Mar 24;15:51. doi: 10.1186/s12933-016-0369-6.

    PMID: 27013319BACKGROUND
  • Cnop M, Hannaert JC, Grupping AY, Pipeleers DG. Low density lipoprotein can cause death of islet beta-cells by its cellular uptake and oxidative modification. Endocrinology. 2002 Sep;143(9):3449-53. doi: 10.1210/en.2002-220273.

    PMID: 12193557BACKGROUND
  • Anderson A, Campo A, Fulton E, Corwin A, Jerome WG 3rd, O'Connor MS. 7-Ketocholesterol in disease and aging. Redox Biol. 2020 Jan;29:101380. doi: 10.1016/j.redox.2019.101380. Epub 2019 Nov 14.

    PMID: 31926618BACKGROUND
  • Murakami H, Tamasawa N, Matsui J, Yasujima M, Suda T. Plasma oxysterols and tocopherol in patients with diabetes mellitus and hyperlipidemia. Lipids. 2000 Mar;35(3):333-8. doi: 10.1007/s11745-000-0530-1.

    PMID: 10783011BACKGROUND
  • Rodriguez-Estrada MT, Garcia-Llatas G, Lagarda MJ. 7-Ketocholesterol as marker of cholesterol oxidation in model and food systems: when and how. Biochem Biophys Res Commun. 2014 Apr 11;446(3):792-7. doi: 10.1016/j.bbrc.2014.02.098. Epub 2014 Feb 28.

    PMID: 24589732BACKGROUND
  • Birlouez-Aragon I, Saavedra G, Tessier FJ, Galinier A, Ait-Ameur L, Lacoste F, Niamba CN, Alt N, Somoza V, Lecerf JM. A diet based on high-heat-treated foods promotes risk factors for diabetes mellitus and cardiovascular diseases. Am J Clin Nutr. 2010 May;91(5):1220-6. doi: 10.3945/ajcn.2009.28737. Epub 2010 Mar 24.

    PMID: 20335546BACKGROUND
  • Economic Research Service. Commodity consumption by population characteristics. United States Department of Agriculture. Published 2012. http://www.ers.usda.gov/data-products/commodity-consumption-by-population-characteristics.aspx

    BACKGROUND
  • Kahleova H, Fleeman R, Hlozkova A, Holubkov R, Barnard ND. A plant-based diet in overweight individuals in a 16-week randomized clinical trial: metabolic benefits of plant protein. Nutr Diabetes. 2018 Nov 2;8(1):58. doi: 10.1038/s41387-018-0067-4.

    PMID: 30405108BACKGROUND
  • Report NDS. National Diabetes Statistics Report, 2020. National Diabetes Statistics Report. Published online 2020.

    BACKGROUND
  • Lin J, Thompson TJ, Cheng YJ, Zhuo X, Zhang P, Gregg E, Rolka DB. Projection of the future diabetes burden in the United States through 2060. Popul Health Metr. 2018 Jun 15;16(1):9. doi: 10.1186/s12963-018-0166-4.

    PMID: 29903012BACKGROUND
  • Mehta SP, Jarvis A, Standifer D, Warnimont C. International physical activity questionnaire. Critical Reviews in Physical and Rehabilitation Medicine. Published online 2018. doi:10.1615/CritRevPhysRehabilMed.2018026180

    BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus, Type 2

Interventions

Diet, Plant-Based

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Intervention Hierarchy (Ancestors)

Diet TherapyNutrition TherapyTherapeuticsDietNutritional Physiological PhenomenaDiet, Food, and NutritionPhysiological Phenomena

Study Officials

  • Jennifer Rooke, MD, MPH

    Morehouse School of Medicine

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
CROSSOVER
Model Details: This pilot study is a randomized clinical trial with a counterbalanced, cross-over design. Participants will be randomized to receive isocaloric diets comprised of either a Standard ADA diet (SADA) or a plant-based ADA diet that contains no oxysterols (PB-ADAØ) for the first 8-week dietary intervention period. Participants will resume self-selected diets for an 8-week washout period and then receive the alternate diet treatment for another 8-week dietary intervention period. The order of dietary periods will be counterbalanced so that half of the participants receive the SADA first while the other half receive the PB-ADAØ first. The dietary 7-KC content of both diets will be estimated from oxysterol food composition databases. Sample meals from both groups will be analyzed to determine the 7-KC food content and the accuracy of the estimates.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

September 24, 2021

First Posted

October 11, 2021

Study Start

July 1, 2021

Primary Completion

December 31, 2023

Study Completion

December 31, 2023

Last Updated

April 17, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

No individual participant data will be shared.

Locations