Study Stopped
The study was not initiated due to COVID-19 restrictions during the original study start date. After the restrictions were lifted, the study was redesigned and entered as a different study.
Effect of a Dietary Intervention on Intracellular Lipid Levels, Insulin Sensitivity, and Glycemic Control in Type 2 Diabetes
Physicians Committee for Responsible Medicine, A Randomized, Crossover Trial of the Effect of a Dietary Intervention on Intracellular Lipid, Insulin Sensitivity, and Glycemic Control in Type 2 Diabetes
1 other identifier
interventional
N/A
1 country
1
Brief Summary
The purpose of this study is to compare the effects of a low-fat, plant-based dietary intervention and a portion-controlled dietary intervention (compliant with current American Diabetes Association (ADA) guidelines) on changes in intramyocellular and hepatocellular lipid content in adults with type 2 diabetes. Changes in insulin sensitivity and glycemic control will also be assessed in this study. The study duration is 44 weeks.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Jul 2025
Shorter than P25 for not_applicable diabetes-mellitus-type-2
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
September 6, 2019
CompletedFirst Posted
Study publicly available on registry
September 13, 2019
CompletedStudy Start
First participant enrolled
July 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2026
June 27, 2025
June 1, 2025
1 year
September 6, 2019
June 24, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Intramyocellular lipid content
Proton magnetic resonance (MR) spectroscopy at 4T (Bruker) will be implemented to quantify intramyocellular lipid concentrations.
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Hepatocellular lipid content
Proton magnetic resonance (MR) spectroscopy at 4T (Bruker) will be implemented to quantify intramyocellular lipid concentrations.
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Insulin sensitivity
Insulin resistance will be assessed by the Homeostatic Model Assessment (HOMA) PREDIM indexes
Change from baseline to 22 weeks and change from 22 weeks to 44 weeks
Concentration of glucose
Concentration of glucose will be assessed during a standard meal test (Boost Plus, Nestle, Vevey, Switzerland; 720 kcal, 34% of energy from fat, 16% protein, 50% carbohydrate). Plasma concentrations of glucose will be measured at 0, 30, 60, 120, and 180 min.
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Concentration of C-peptide
Concentration of C-peptide be assessed during a standard meal test (Boost Plus, Nestle, Vevey, Switzerland; 720 kcal, 34% of energy from fat, 16% protein, 50% carbohydrate). Concentration of C-peptide will be measured at 0, 30, 60, 120, and 180 min.
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Rate of glycemic control
Rate of glycemic control will be assessed through HbA1C.
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Secondary Outcomes (6)
Resting energy expenditure
Change from baseline to 22 weeks and change from 22 weeks to 44 weeks
Postprandial metabolism
Change from Baseline to 22 weeks and change from 22 weeks to 44 weeks
Body Composition
Change from baseline to 22 weeks and change from 22 weeks to 44 weeks
Gut microbiome composition
Change from baseline to 22 weeks and change from 22 weeks to 44 weeks
Concentration of plasma lipids
Change from baseline to 22 weeks and change from 22 weeks to 44 weeks
- +1 more secondary outcomes
Other Outcomes (2)
Advanced Glycation Endproducts (AGEs)
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Endothelial function
1.) Change from week 0 to week 22; 2.) Change from week 22 to week 44
Study Arms (2)
Low-fat, vegan diet
ACTIVE COMPARATORFor a 22-week period, participants will be asked to follow a low-fat vegan diet which consists of whole grains, vegetables, legumes, and fruits, with no restriction on energy intake. Animal products and added oils will be excluded. In choosing grain products and starchy vegetables (e.g., bread, potatoes), participants will be encouraged to select those retaining their natural fiber and having a glycemic index \<70, using tables standardized to a value of 100 for glucose.
Portion-controlled diet
ACTIVE COMPARATORFor a 22-week period, participants will be asked to follow a portion-controlled diet which will include individualized diet plans that reduce daily energy intake by 500 kcal for overweight participants, and keep carbohydrate intake reasonably stable over time. It will derive 50% of total energy from carbohydrates, 20% from protein, and less than 30% from fat (≤7% saturated fat), with less than 200 mg/day of cholesterol/day.
Interventions
Low-fat, plant-based diet and a portion-controlled diet
Eligibility Criteria
You may qualify if:
- Men and women with type 2 diabetes treated by diet and/or oral hypoglycemic agents other that sulfonylureas
- Age ≥18 years
- Body mass index 26-40 kg/m2
- Medications (antidiabetic, antihypertensive, and lipid-lowering) have been stable for the past 3 months
- HbA1c between 6-10.5% (42-88 mmol/mol)
You may not qualify if:
- Diabetes mellitus, type 1 and/or treatment with insulin or sulfonylureas
- Metal implants, such as a cardiac pacemaker or an aneurysm clip
- History of any endocrine condition that would affect body weight, such as thyroid disease, pituitary abnormality, or Cushing's syndrome
- Smoking during the past six months
- Alcohol consumption of more than 2 drinks per day or the equivalent, episodic increased drinking (e.g., more than 2 drinks per day on weekends), or a history of alcohol abuse or dependency followed by any current use
- Use of recreational drugs in the past 6 months
- Use within the preceding six months of medications that affect appetite or body weight, such as estrogens or other hormones, thyroid medications, systemic steroids, antidepressants (tricyclics, MAOIs, SSRIs), antipsychotics, lithium, anticonvulsants, appetite suppressants or other weight-loss drugs, herbs for weight loss or mood, St. John's wort, ephedra, beta blockers
- Pregnancy or intention to become pregnant during the study period
- Unstable medical or psychiatric illness
- Evidence of an eating disorder
- Likely to be disruptive in group sessions
- Already following a low-fat, vegan diet
- Lack of English fluency
- Inability to maintain current medication regimen
- Inability or unwillingness to participate in all components of the study
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Physicians Committee for Responsible Medicinelead
- Yale Universitycollaborator
Study Sites (1)
Physicians Committee for Responsible Medicine
Washington D.C., District of Columbia, 20016, United States
Related Publications (20)
Ferrannini E, Gastaldelli A, Miyazaki Y, Matsuda M, Pettiti M, Natali A, Mari A, DeFronzo RA. Predominant role of reduced beta-cell sensitivity to glucose over insulin resistance in impaired glucose tolerance. Diabetologia. 2003 Sep;46(9):1211-9. doi: 10.1007/s00125-003-1169-6. Epub 2003 Jul 23.
PMID: 12879253BACKGROUNDKrssak M, Falk Petersen K, Dresner A, DiPietro L, Vogel SM, Rothman DL, Roden M, Shulman GI. Intramyocellular lipid concentrations are correlated with insulin sensitivity in humans: a 1H NMR spectroscopy study. Diabetologia. 1999 Jan;42(1):113-6. doi: 10.1007/s001250051123.
PMID: 10027589BACKGROUNDPerseghin G, Scifo P, De Cobelli F, Pagliato E, Battezzati A, Arcelloni C, Vanzulli A, Testolin G, Pozza G, Del Maschio A, Luzi L. Intramyocellular triglyceride content is a determinant of in vivo insulin resistance in humans: a 1H-13C nuclear magnetic resonance spectroscopy assessment in offspring of type 2 diabetic parents. Diabetes. 1999 Aug;48(8):1600-6. doi: 10.2337/diabetes.48.8.1600.
PMID: 10426379BACKGROUNDShulman GI. Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease. N Engl J Med. 2014 Sep 18;371(12):1131-41. doi: 10.1056/NEJMra1011035. No abstract available.
PMID: 25229917BACKGROUNDGoodpaster BH, Theriault R, Watkins SC, Kelley DE. Intramuscular lipid content is increased in obesity and decreased by weight loss. Metabolism. 2000 Apr;49(4):467-72. doi: 10.1016/s0026-0495(00)80010-4.
PMID: 10778870BACKGROUNDSinha R, Dufour S, Petersen KF, LeBon V, Enoksson S, Ma YZ, Savoye M, Rothman DL, Shulman GI, Caprio S. Assessment of skeletal muscle triglyceride content by (1)H nuclear magnetic resonance spectroscopy in lean and obese adolescents: relationships to insulin sensitivity, total body fat, and central adiposity. Diabetes. 2002 Apr;51(4):1022-7. doi: 10.2337/diabetes.51.4.1022.
PMID: 11916921BACKGROUNDThamer C, Machann J, Bachmann O, Haap M, Dahl D, Wietek B, Tschritter O, Niess A, Brechtel K, Fritsche A, Claussen C, Jacob S, Schick F, Haring HU, Stumvoll M. Intramyocellular lipids: anthropometric determinants and relationships with maximal aerobic capacity and insulin sensitivity. J Clin Endocrinol Metab. 2003 Apr;88(4):1785-91. doi: 10.1210/jc.2002-021674.
PMID: 12679474BACKGROUNDMachado MV, Ferreira DM, Castro RE, Silvestre AR, Evangelista T, Coutinho J, Carepa F, Costa A, Rodrigues CM, Cortez-Pinto H. Liver and muscle in morbid obesity: the interplay of fatty liver and insulin resistance. PLoS One. 2012;7(2):e31738. doi: 10.1371/journal.pone.0031738. Epub 2012 Feb 16.
PMID: 22359625BACKGROUNDLarson-Meyer DE, Newcomer BR, Ravussin E, Volaufova J, Bennett B, Chalew S, Cefalu WT, Sothern M. Intrahepatic and intramyocellular lipids are determinants of insulin resistance in prepubertal children. Diabetologia. 2011 Apr;54(4):869-75. doi: 10.1007/s00125-010-2022-3. Epub 2010 Dec 23.
PMID: 21181394BACKGROUNDWang C, Liu F, Yuan Y, Wu J, Wang H, Zhang L, Hu P, Li Z, Li Q, Ye J. Metformin suppresses lipid accumulation in skeletal muscle by promoting fatty acid oxidation. Clin Lab. 2014;60(6):887-96. doi: 10.7754/clin.lab.2013.130531.
PMID: 25016691BACKGROUNDSanchez-Munoz V, Salas-Romero R, Del Villar-Morales A, Martinez-Coria E, Pegueros-Perez A, Franco-Sanchez JG. [Decrease of liver fat content by aerobic exercise or metformin therapy in overweight or obese women]. Rev Invest Clin. 2013 Jul-Aug;65(4):307-17. Spanish.
PMID: 24304731BACKGROUNDBajaj M, Baig R, Suraamornkul S, Hardies LJ, Coletta DK, Cline GW, Monroy A, Koul S, Sriwijitkamol A, Musi N, Shulman GI, DeFronzo RA. Effects of pioglitazone on intramyocellular fat metabolism in patients with type 2 diabetes mellitus. J Clin Endocrinol Metab. 2010 Apr;95(4):1916-23. doi: 10.1210/jc.2009-0911. Epub 2010 Feb 15.
PMID: 20157197BACKGROUNDPhielix E, Brehm A, Bernroider E, Krssak M, Anderwald CH, Krebs M, Schmid AI, Nowotny P, Roden M. Effects of pioglitazone versus glimepiride exposure on hepatocellular fat content in type 2 diabetes. Diabetes Obes Metab. 2013 Oct;15(10):915-22. doi: 10.1111/dom.12112. Epub 2013 May 1.
PMID: 23574533BACKGROUNDMarchesini G, Petta S, Dalle Grave R. Diet, weight loss, and liver health in nonalcoholic fatty liver disease: Pathophysiology, evidence, and practice. Hepatology. 2016 Jun;63(6):2032-43. doi: 10.1002/hep.28392. Epub 2016 Jan 22.
PMID: 26663351BACKGROUNDGreco AV, Mingrone G, Giancaterini A, Manco M, Morroni M, Cinti S, Granzotto M, Vettor R, Camastra S, Ferrannini E. Insulin resistance in morbid obesity: reversal with intramyocellular fat depletion. Diabetes. 2002 Jan;51(1):144-51. doi: 10.2337/diabetes.51.1.144.
PMID: 11756334BACKGROUNDFabris R, Mingrone G, Milan G, Manco M, Granzotto M, Dalla Pozza A, Scarda A, Serra R, Greco AV, Federspil G, Vettor R. Further lowering of muscle lipid oxidative capacity in obese subjects after biliopancreatic diversion. J Clin Endocrinol Metab. 2004 Apr;89(4):1753-9. doi: 10.1210/jc.2003-031343.
PMID: 15070941BACKGROUNDJohansson L, Roos M, Kullberg J, Weis J, Ahlstrom H, Sundbom M, Eden Engstrom B, Karlsson FA. Lipid mobilization following Roux-en-Y gastric bypass examined by magnetic resonance imaging and spectroscopy. Obes Surg. 2008 Oct;18(10):1297-304. doi: 10.1007/s11695-008-9484-0. Epub 2008 Apr 8.
PMID: 18392897BACKGROUNDBachmann OP, Dahl DB, Brechtel K, Machann J, Haap M, Maier T, Loviscach M, Stumvoll M, Claussen CD, Schick F, Haring HU, Jacob S. Effects of intravenous and dietary lipid challenge on intramyocellular lipid content and the relation with insulin sensitivity in humans. Diabetes. 2001 Nov;50(11):2579-84. doi: 10.2337/diabetes.50.11.2579.
PMID: 11679437BACKGROUNDSparks LM, Xie H, Koza RA, Mynatt R, Hulver MW, Bray GA, Smith SR. A high-fat diet coordinately downregulates genes required for mitochondrial oxidative phosphorylation in skeletal muscle. Diabetes. 2005 Jul;54(7):1926-33. doi: 10.2337/diabetes.54.7.1926.
PMID: 15983191BACKGROUNDPetersen KF, Dufour S, Morino K, Yoo PS, Cline GW, Shulman GI. Reversal of muscle insulin resistance by weight reduction in young, lean, insulin-resistant offspring of parents with type 2 diabetes. Proc Natl Acad Sci U S A. 2012 May 22;109(21):8236-40. doi: 10.1073/pnas.1205675109. Epub 2012 Apr 30.
PMID: 22547801BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hana Kahleova, MD, PhD
Physicians Committee for Responsible Medicine
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 6, 2019
First Posted
September 13, 2019
Study Start
July 1, 2025
Primary Completion (Estimated)
July 1, 2026
Study Completion (Estimated)
July 1, 2026
Last Updated
June 27, 2025
Record last verified: 2025-06
Data Sharing
- IPD Sharing
- Will not share
Upon request individual participant data will be available to other researchers.