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Trial details imported from ClinicalTrials.gov

For full trial details, please see the original record at https://clinicaltrials.gov/study/NCT05230342




Registration number
NCT05230342
Ethics application status
Date submitted
7/01/2022
Date registered
8/02/2022
Date last updated
1/10/2024

Titles & IDs
Public title
Personalized Nutrition Based on the Glycemic Response: Effect of Diet and Intestinal Microbiota
Scientific title
Personalized Nutrition Based on the Glycemic Response: Effect of Diet and Intestinal
Secondary ID [1] 0 0
3312
Universal Trial Number (UTN)
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Obesity 0 0
Pre Diabetes 0 0
Condition category
Condition code
Metabolic and Endocrine 0 0 0 0
Metabolic disorders

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Treatment: Other - A package containing a mix of functional foods
Other interventions - Placebo ingredient group

Experimental: Nutritional strategy based on functional foods - Participants will be provided with a nutritional strategy based on functional foods to use over the 2 week trial. These will be nopal, chía seeds, inulin, soy protein and genistein.

Placebo comparator: Placebo Ingredient Group - The placebo group will receive a comparable set of food items that contain an equivalent number of calories per portion but without the added functional ingredients


Treatment: Other: A package containing a mix of functional foods
Participants will be provided with a nutritional strategy based on functional foods to use over the 2 week trial. These will be nopal, chía seeds, inulin, soy protein and genistein.

Other interventions: Placebo ingredient group
The control group will receive a comparable set of food items that contain an equivalent number of calories per portion but without the added functional ingredients
Intervention code [1] 0 0
Treatment: Other
Intervention code [2] 0 0
Other interventions
Comparator / control treatment
Control group

Outcomes
Primary outcome [1] 0 0
Area under the curve of postprandial glucose response
Timepoint [1] 0 0
2 weeks
Primary outcome [2] 0 0
Evaluation of the total daily interstitial glucose over 140 mg/dl
Timepoint [2] 0 0
2 weeks
Secondary outcome [1] 0 0
16s ribosomal gene analysis
Timepoint [1] 0 0
2 weeks

Eligibility
Key inclusion criteria
* Male and female.
* Adults between 18 and 60 years of age.
* BMI = 30 and = 50 kg/m2.
* Basal blood glucose 100 - 125 mg/dl
* The signing of the informed consent.
Minimum age
18 Years
Maximum age
60 Years
Sex
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
* Patients with any type of diabetes.
* Patients with high blood pressure.
* Patients with acquired diseases secondarily producing obesity and diabetes.
* Patients who have suffered a cardiovascular event.
* Patients with gastrointestinal diseases.
* Weight loss > 3 kg in the last 3 months.
* Catabolic diseases such as cancer and acquired immunodeficiency syndrome.
* Pregnancy status.
* Positive smoking.
* Drug treatment:

* Antihypertensive drugs or treatment (thiacycline, loop or potassium-sparing diuretics, angiotensin-converting enzyme inhibitor, angiotensin II receptor blockers, alpha blockers, calcium antagonists, beta blockers).
* Treatment with hypoglycemic agents (sulfonylureas, methylalanines , biguanides, incretins) or insulin and antidiabetic drugs.
* Treatment with statins, fibrates or other drugs to control dyslipidemia.
* Use of antibiotics in the three months prior to the study.
* Use of steroid drugs, chemotherapy, immunosuppressants, or radiation therapy.
* Anorexigenic or that accelerate weight loss such as orlistat.
* Supplements with any of the functional foods used in the study.
* Probiotic, prebiotic or symbiotic supplements.

Study design
Purpose of the study
Treatment
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Masking / blinding
Blinded (masking used)
Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s

Intervention assignment
Parallel
Other design features
Phase
Not applicable
Type of endpoint/s
Statistical methods / analysis

Recruitment
Recruitment status
Active, not recruiting
Data analysis
Reason for early stopping/withdrawal
Other reasons
Date of first participant enrolment
Anticipated
Actual
2/08/2022
Date of last participant enrolment
Anticipated
Actual
Date of last data collection
Anticipated
30/05/2025
Actual
Sample size
Target
Accrual to date
Final
100
Recruitment in Australia
Recruitment state(s)
Recruitment outside Australia
Country [1] 0 0
Mexico
State/province [1] 0 0
Mexico City

Funding & Sponsors
Primary sponsor type
Other
Name
Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
Address
Country

Ethics approval
Ethics application status

Summary
Brief summary
This study will investigate whether changes in the intestinal microbiota generated through a nutritional strategy based on functional foods, modifies postprandial glycemic responses in subjects with prediabetes and obesity, which in turn will generate a personalized dietary intervention through a prediction of postprandial blood glucose levels.
Trial website
https://clinicaltrials.gov/study/NCT05230342
Trial related presentations / publications
Zhu J, Xing G, Shen T, Xu G, Peng Y, Rao J, Shi R. Postprandial Glucose Levels Are Better Associated with the Risk Factors for Diabetes Compared to Fasting Glucose and Glycosylated Hemoglobin (HbA1c) Levels in Elderly Prediabetics: Beneficial Effects of Polyherbal Supplements-A Randomized, Double-Blind, Placebo Controlled Trial. Evid Based Complement Alternat Med. 2019 Apr 15;2019:7923732. doi: 10.1155/2019/7923732. eCollection 2019.
Blaak EE, Antoine JM, Benton D, Bjorck I, Bozzetto L, Brouns F, Diamant M, Dye L, Hulshof T, Holst JJ, Lamport DJ, Laville M, Lawton CL, Meheust A, Nilson A, Normand S, Rivellese AA, Theis S, Torekov SS, Vinoy S. Impact of postprandial glycaemia on health and prevention of disease. Obes Rev. 2012 Oct;13(10):923-84. doi: 10.1111/j.1467-789X.2012.01011.x. Epub 2012 Jul 11.
Ceriello A. Impaired glucose tolerance and cardiovascular disease: the possible role of post-prandial hyperglycemia. Am Heart J. 2004 May;147(5):803-7. doi: 10.1016/j.ahj.2003.11.020.
Gallwitz B. Implications of postprandial glucose and weight control in people with type 2 diabetes: understanding and implementing the International Diabetes Federation guidelines. Diabetes Care. 2009 Nov;32 Suppl 2(Suppl 2):S322-5. doi: 10.2337/dc09-S331. No abstract available.
Eleazu CO. The concept of low glycemic index and glycemic load foods as panacea for type 2 diabetes mellitus; prospects, challenges and solutions. Afr Health Sci. 2016 Jun;16(2):468-79. doi: 10.4314/ahs.v16i2.15.
Vrolix R, Mensink RP. Variability of the glycemic response to single food products in healthy subjects. Contemp Clin Trials. 2010 Jan;31(1):5-11. doi: 10.1016/j.cct.2009.08.001. Epub 2009 Sep 6.
Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.
Mendes-Soares H, Raveh-Sadka T, Azulay S, Ben-Shlomo Y, Cohen Y, Ofek T, Stevens J, Bachrach D, Kashyap P, Segal L, Nelson H. Model of personalized postprandial glycemic response to food developed for an Israeli cohort predicts responses in Midwestern American individuals. Am J Clin Nutr. 2019 Jul 1;110(1):63-75. doi: 10.1093/ajcn/nqz028. Erratum In: Am J Clin Nutr. 2019 Sep 1;110(3):783. doi: 10.1093/ajcn/nqz142.
Christensen L, Roager HM, Astrup A, Hjorth MF. Microbial enterotypes in personalized nutrition and obesity management. Am J Clin Nutr. 2018 Oct 1;108(4):645-651. doi: 10.1093/ajcn/nqy175.
Sanchez-Tapia M, Tovar AR, Torres N. Diet as Regulator of Gut Microbiota and its Role in Health and Disease. Arch Med Res. 2019 Jul;50(5):259-268. doi: 10.1016/j.arcmed.2019.09.004. Epub 2019 Oct 5.
Kolodziejczyk AA, Zheng D, Elinav E. Diet-microbiota interactions and personalized nutrition. Nat Rev Microbiol. 2019 Dec;17(12):742-753. doi: 10.1038/s41579-019-0256-8. Epub 2019 Sep 20.
Guevara-Cruz M, Flores-Lopez AG, Aguilar-Lopez M, Sanchez-Tapia M, Medina-Vera I, Diaz D, Tovar AR, Torres N. Improvement of Lipoprotein Profile and Metabolic Endotoxemia by a Lifestyle Intervention That Modifies the Gut Microbiota in Subjects With Metabolic Syndrome. J Am Heart Assoc. 2019 Sep 3;8(17):e012401. doi: 10.1161/JAHA.119.012401. Epub 2019 Aug 27.
Public notes
This record is viewable in the ANZCTR as it had previously listed Australia and/or New Zealand as a recruitment site, however these sites have since been removed

Contacts
Principal investigator
Name 0 0
Armando R Tovar, PhD
Address 0 0
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for public queries
Name 0 0
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for scientific queries



Summary Results

For IPD and results data, please see https://clinicaltrials.gov/study/NCT05230342