ObesityNCT05230342
Personalized Nutrition Based on the Glycemic Response: Effect of Diet and Intestinal Microbiota
A study testing A package containing a mix of functional foods in people with Obesity and Pre Diabetes, run by Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran at 2 sites in Mexico.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 to 60 years
- Conditions the study is for
- Obesity, Pre Diabetes
- What is being tested?
- A package containing a mix of functional foods
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 100 participants
- Where
- 2 sitesMexico
- Study dates
- 2 Aug 2022to 30 Aug 2025
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 60 years
- All sexes
- No healthy volunteers
- Adult
Who may be able to join
- 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.
Who cannot join
- 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.
Show all 18Show fewer
- 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.
Trial locations and contacts
2 sites in 1 country.
Mexico2 sites
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán
Mexico City, Mexico City, 14080
Armando Roberto Tovar Palacio
Mexico City, 14080
About this study
Official title: Personalized Nutrition Based on the Glycemic Response: Effect of Diet and Intestinal
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.
Read the detailed description
The increase in postprandial blood glucose constitutes a global epidemic and an important risk factor for the development of prediabetes and type 2 diabetes (T2D). Prediabetes is characterized by alterations in blood glucose concentrations and is considered an important risk factor for the development of T2D, considering that 70% of subjects with prediabetes will eventually develop the disease. Therefore, maintaining normal blood glucose concentrations is considered a critical point to prevent and control the development of T2D, mainly through lifestyle changes. In addition, the elevated postprandial glycemic responses (PPGRs) are an independent risk factor for the development of T2D and are associated with the presence of obesity.
Dietary intake is a central determinant of blood glucose concentrations therefore to maintain these concentrations within normal values, it is important to make adequate decisions regarding food, to induce a normal PPGRs. There are several methods to control the PPGRs such as the carbohydrate count which depends on the phenotypic characteristics of the patient. Other methods aimed at estimating the PPGRs like the glycemic index, which quantifies the PPGR derived from the consumption of a single type of food already tested, having limited applicability in the evaluation of the PPGR in real life where food is a set of different types and amounts of food, which are consumed at different times of the day under different conditions of sleep, physical activity and other activities of daily life that alter glucose concentrations.
Studies have shown inter and intrapersonal differences in PPGRs after consuming the same amount of the same food. Factors that can affect interpersonal differences in PPGRs include genetics, lifestyle, and insulin sensitivity. Another factor that may be involved is the gut microbiota.
The objective of this study is to evaluate whether the 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 may generate a personalized dietary intervention through a prediction of postprandial blood glucose levels by an algorithm based-diet. This nutritional strategy consists of providing a set of functional foods such as nopal, chia, soy, inulin and the isoflavone genistein, since there is evidence that these foods lower blood glucose concentrations and modify the intestinal microbiota. A clinical trial will be conducted with 100 adults with prediabetes and obesity who meet the inclusion criteria. These patients will be divided into two groups of 50 each and their glucose will be continuously monitored with a continuous glucose monitor which will be taking glucose concentrations every 15 min. The patients will have one of two treatments; placebo or nutritional strategy with functional foods. They will be determined before and after monitoring: anthropometric and biochemical parameters, food consumption, physical activity, lifestyle, metabolites in urine as well as determination of the composition of the intestinal microbiota.
- Conditions
- Obesity, Pre Diabetes
- Being tested
- A package containing a mix of functional foods, Placebo ingredient group
- Keywords
- Postprandial Blood Glucose, Functional Food
- Medical subject headings
- Obesity, Glucose Intolerance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
A package containing a mix of functional foodsDietary supplement
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 ingredient groupOther
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
| Study group | Role | What they receive |
|---|---|---|
| Nutritional strategy based on functional foods | Experimental | 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. Receives: Dietary Supplement: A package containing a mix of functional foods |
| Placebo Ingredient Group | Placebo comparator | 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 Receives: Other: Placebo ingredient group |
What is being measured
The primary outcome is the main question the study is designed to answer.
Area under the curve of postprandial glucose response
Compare the effect between a nutritional strategy based on functional foods and the placebo group on postprandial glycemic response in subjects with obesity
Measured: 2 weeks
Evaluation of the total daily interstitial glucose over 140 mg/dl
Total daily interstitial glucose levels will be evaluated by using Continuous glucose monitoring (CGM).
Measured: 2 weeks
Secondary outcomes (1)
16s ribosomal gene analysis
Determine if changes in the composition of intestinal microbiota after the consumption of a nutritional strategy based on functional foods modify the postprandial glycemic response in subjects with obesity.
Measured: 2 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Feb 2022
- Study start2 Aug 2022
- Primary completion31 May 2025 (estimated)
- Study completion30 Aug 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- The groups will receive the treatment simultaneously
- Masking
- Double blind
- Who is masked
- Participant, Care provider
- Enrolment
- 100 participants (actual)
Sponsor and investigators
- Lead sponsor
- Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Armando Tovar, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
- Investigators
- Armando R Tovar, PhD, Principal investigator, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05230342
- Sponsor's protocol ID
- 3312
- Status last verified
- Apr 2025
- First submitted
- 7 Jan 2022
- Last updated
- 24 Apr 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
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.
PubMed 31118970Blaak 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.
PubMed 22780564Ceriello 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.
PubMed 15131534Gallwitz 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.
PubMed 19875573Eleazu 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.
PubMed 27605962Vrolix 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.
PubMed 19737630Zeevi 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.
PubMed 26590418Mendes-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.
PubMed 31095300Christensen 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.
PubMed 30239555Sanchez-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.
PubMed 31593850Kolodziejczyk 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.
PubMed 31541197Guevara-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.
PubMed 31451009
Study at a glance
From the registry record, last updated by the sponsor on 24 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Personalized Nutrition Based on the Glycemic Response: Effect of Diet and Intestinal
- ClinicalTrials.gov ID
- NCT05230342
- Acronym / sponsor ID
- 3312
- Conditions
- Obesity, Pre Diabetes
- Keywords
- Postprandial Blood Glucose, Functional Food
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 100 participants (actual)
- Lead sponsor
- Instituto Nacional de Ciencias Medicas y Nutricion Salvador ZubiranUniversity, hospital or other
- Study start
- 2 Aug 2022 (actual)
- Primary completion
- 31 May 2025 (estimated)
- Study completion
- 30 Aug 2025 (estimated)
- First posted
- 8 Feb 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
The increase in postprandial blood glucose constitutes a global epidemic and an important risk factor for the development of prediabetes and type 2 diabetes (T2D). Prediabetes is characterized by alterations in blood glucose concentrations and is considered an important risk factor for the development of T2D, considering that 70% of subjects with prediabetes will eventually develop the disease. Therefore, maintaining normal blood glucose concentrations is considered a critical point to prevent and control the development of T2D, mainly through lifestyle changes. In addition, the elevated postprandial glycemic responses (PPGRs) are an independent risk factor for the development of T2D and are associated with the presence of obesity.
Dietary intake is a central determinant of blood glucose concentrations therefore to maintain these concentrations within normal values, it is important to make adequate decisions regarding food, to induce a normal PPGRs. There are several methods to control the PPGRs such as the carbohydrate count which depends on the phenotypic characteristics of the patient. Other methods aimed at estimating the PPGRs like the glycemic index, which quantifies the PPGR derived from the consumption of a single type of food already tested, having limited applicability in the evaluation of the PPGR in real life where food is a set of different types and amounts of food, which are consumed at different times of the day under different conditions of sleep, physical activity and other activities of daily life that alter glucose concentrations.
Studies have shown inter and intrapersonal differences in PPGRs after consuming the same amount of the same food. Factors that can affect interpersonal differences in PPGRs include genetics, lifestyle, and insulin sensitivity. Another factor that may be involved is the gut microbiota.
The objective of this study is to evaluate whether the 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 may generate a personalized dietary intervention through a prediction of postprandial blood glucose levels by an algorithm based-diet. This nutritional strategy consists of providing a set of functional foods such as nopal, chia, soy, inulin and the isoflavone genistein, since there is evidence that these foods lower blood glucose concentrations and modify the intestinal microbiota. A clinical trial will be conducted with 100 adults with prediabetes and obesity who meet the inclusion criteria. These patients will be divided into two groups of 50 each and their glucose will be continuously monitored with a continuous glucose monitor which will be taking glucose concentrations every 15 min. The patients will have one of two treatments; placebo or nutritional strategy with functional foods. They will be determined before and after monitoring: anthropometric and biochemical parameters, food consumption, physical activity, lifestyle, metabolites in urine as well as determination of the composition of the intestinal microbiota.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, care provider)
- Number of arms
- 2
- Model description
- The groups will receive the treatment simultaneously
| Arm | Type | Receives |
|---|---|---|
| Nutritional strategy based on functional foods | Experimental | Dietary Supplement: A package containing a mix of functional foodsParticipants 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 Ingredient Group | Placebo comparator | Other: Placebo ingredient groupThe 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 |
Who may qualify
- Ages
- 18 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (18 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| A package containing a mix of functional foodsParticipants 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. | Dietary supplement | Nutritional strategy based on functional foods |
| Placebo ingredient groupThe 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 | Other | Placebo Ingredient Group |
Primary outcome
Area under the curve of postprandial glucose response
Time frame: 2 weeks
Compare the effect between a nutritional strategy based on functional foods and the placebo group on postprandial glycemic response in subjects with obesity
Evaluation of the total daily interstitial glucose over 140 mg/dl
Time frame: 2 weeks
Total daily interstitial glucose levels will be evaluated by using Continuous glucose monitoring (CGM).
1 secondary outcome
16s ribosomal gene analysis
Time frame: 2 weeks
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Apr 2025.
- Results publication: PubMed 31118970Zhu 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.
- Results publication: PubMed 22780564Blaak 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.
- Results publication: PubMed 15131534Ceriello 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.
- Results publication: PubMed 19875573Gallwitz 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.
- Results publication: PubMed 27605962Eleazu 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.
- Results publication: PubMed 19737630Vrolix 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.
- Results publication: PubMed 26590418Zeevi 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.
- Results publication: PubMed 31095300Mendes-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.
- Results publication: PubMed 30239555Christensen 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.
- Results publication: PubMed 31593850Sanchez-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.
- Results publication: PubMed 31541197Kolodziejczyk 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.
- Results publication: PubMed 31451009Guevara-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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Armando R Tovar, PhD principal investigator
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing A package containing a mix of functional foods in people with Obesity and Pre Diabetes, run by Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran at 2 sites in Mexico.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 18 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 24 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Mexico. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Area under the curve of postprandial glucose response (time frame: 2 weeks). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05230342, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Apr 2025.