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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03421301
Other study ID # 1165
Secondary ID
Status Completed
Phase N/A
First received January 17, 2018
Last updated January 29, 2018
Start date August 7, 2014
Est. completion date December 28, 2016

Study information

Verified date January 2018
Source Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Aim: To study the effect of a dietary intervention with functional foods on gut microbiota in subjects with type 2 diabetes Materials and methods: Patients with type 2 diabetes were enrolled in a double-blind, parallel-arm, placebo-control study were randomized to receive a dietary portfolio (DP) or placebo (P) treatment for 3 mo. The primary endpoint was the effect of a dietary portfolio based on functional foods on gut microbiota. Secondary endpoints were biochemical parameters, branched chain amino acids, TMAO


Description:

This study was a single-center, randomized, controlled, double-blind, parallel versus placebo that consisted of six visits. The first visit was a screening evaluation to determine whether subjects meet the inclusion criteria. The selected subjects were invited to a second visit that consisted of a medical history, 2-h oral glucose tolerance test (OGTT), collection of stool samples for DNA isolation and collection of 5 ml blood sample. The participants received the first stage dietary strategy for 15 days. In the third visit and second stage of dietary treatment, subjects were randomized to received the dietary portfolio (DP) or placebo (P) treatment accompanied of the reduced energy diet for 1 mo. In the fourth and fifth visits, with a 1 mo interval, dietary assessment and compliance to the DP or P was evaluated. During each follow-up visit, a 24-h dietary recall was collected, a physical activity questionnaire was filled out and anthropometric and clinical parameters were assessed. In the sixth visit, a 2-h oral glucose tolerance test (OGTT) was performed, and a stool sample for DNA isolation and 5 ml blood were collected.

Dietary Intervention In the first stage, the participants consumed a reduced-energy diet tailored to provide a 500-kcal/d deficit as recommended by NIH (8) the with respect to their habitual diet for 15 days. The diet plan consisted in 45-55% carbohydrates, 15-20% protein, 25-35% fat, <7% saturated fat, 200 mg/d cholesterol, 20-35g fiber, 2000-3000 mg/d sodium based on total energy. In the second stage the participants continued to consume the reduced energy diet with the addition of a combination of functional foods (dietary portfolio; DP). The DP provided 200 kcal that were subtracted from the diet. The DP consisted of a mixture of 14g of dehydrated nopal, 4g of chia seed, 30g of soy protein, 4g of inulin,) and 1g of flavoring. The placebo (P) consisted of 28 g of calcium caseinate, 15g of maltodextrin and 1g of flavoring. The kcal, appearance and flavor were similar in DP and P. The DP and P was given in a package in dehydrated form ready to be dissolved in water. The DP was divided into two packages, the first package contained 17.3 g of DP or P given in the breakfast and dissolved in 250 ml and the second package was given at the dinner time (15:00-16:00 h) and contained 34.7g of P and DP dissolved in 300 mL of water.

Dietary compliance Dietary compliance was assessed with a 24-h dietary recall and 3-d food record (food log), during each visit that were analyzed by Food Processor Nutrition Analysis Software. The compliance of the consumption of the DP or P was evaluated with the number of empty packages returned at the following visit. Physical activity was assessed using the International physical activity questionnaire (IPAQ).


Recruitment information / eligibility

Status Completed
Enrollment 81
Est. completion date December 28, 2016
Est. primary completion date September 28, 2016
Accepts healthy volunteers No
Gender All
Age group 30 Years to 60 Years
Eligibility Inclusion Criteria:

- clinical diagnosis of type 2 diabetes

- Male or female.

- Adults between 30 and 60 years old.

- BMI of 25 to 39.9 kg / m².

- Pharmacological treatment with metformin, a combination of metformin and glibenclamide.

- Evolution of the type 2 diabetes of 4 ± 3 years.

- Patients who knew how to read and write.

- Signature of informed consent.

Exclusion Criteria:

- Diseases that produce secondary obesity.

- Cardiovascular event.

- Weight loss> 3 kg in the last 3 months after the evaluation of the criteria.

- Catabolic diseases such as cancer and acquired immunodeficiency syndrome.

- Gravidity status.

- Positive smoking.

- Treatment with antihypertensive drugs

- Treatment with other hypoglycemic agents that were not metformin

- Treatment with statins, fibrates or other drugs to control dyslipidemia, 6 months before the start of the protocol.

- Any drug or medication that activates intestinal motility

- Use of laxatives or antispasmodics 4 weeks before the study

- Treatment with antibiotics 6 months before the study

- Use of steroids, chemotherapy, immunosuppressant or radiotherapy.

- Uncontrolled type 2 diabetes, ( HbA1c concentration = 9.9%)

- Fasting glucose = 220 mg / dL

- Fasting cholesterol = 240 mg / dL

- Fasting triglycerides = 350 mg / dL

- Serum creatinine in women> 1.2 mg / dL in men> 1.3 mg / d

Study Design


Intervention

Dietary Supplement:
dietary portfolio
The dietary intervention was a combination of functional foods (dehydrated nopal, chia seed, soy protein and inulin) that was provided in dehydrated form in packages of 17.3 g dissolved in 250 ml water for breakfast and 34.7 g in 300 ml water for dinner.

Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran University of Connecticut

References & Publications (25)

Achamrah N, Déchelotte P, Coëffier M. Glutamine and the regulation of intestinal permeability: from bench to bedside. Curr Opin Clin Nutr Metab Care. 2017 Jan;20(1):86-91. — View Citation

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Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health. Obes Res. 1998 Sep;6 Suppl 2:51S-209S. Review. Erratum in: Obes Res 1998 Nov;6(6):464. — View Citation

Evans JL, Goldfine ID, Maddux BA, Grodsky GM. Are oxidative stress-activated signaling pathways mediators of insulin resistance and beta-cell dysfunction? Diabetes. 2003 Jan;52(1):1-8. Review. — View Citation

Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, Prifti E, Vieira-Silva S, Gudmundsdottir V, Pedersen HK, Arumugam M, Kristiansen K, Voigt AY, Vestergaard H, Hercog R, Costea PI, Kultima JR, Li J, Jørgensen T, Levenez F, Dore J; — View Citation

Gomes AC, Bueno AA, de Souza RG, Mota JF. Gut microbiota, probiotics and diabetes. Nutr J. 2014 Jun 17;13:60. doi: 10.1186/1475-2891-13-60. Review. — View Citation

Gomes JMG, Costa JA, Alfenas RCG. Metabolic endotoxemia and diabetes mellitus: A systematic review. Metabolism. 2017 Mar;68:133-144. doi: 10.1016/j.metabol.2016.12.009. Epub 2016 Dec 18. Review. — View Citation

Griffin JL, Wang X, Stanley E. Does our gut microbiome predict cardiovascular risk? A review of the evidence from metabolomics. Circ Cardiovasc Genet. 2015 Feb;8(1):187-91. doi: 10.1161/CIRCGENETICS.114.000219. Review. — View Citation

Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, Peters AL, Tsapas A, Wender R, Matthews DR; American Diabetes Association (ADA); European Association for the Study of Diabetes (EASD). Management of hyperglycemia in type 2 diabetes: — View Citation

Jardine M. Nutrition Considerations for Microbiota Health in Diabetes. Diabetes Spectr. 2016 Nov;29(4):238-244. — View Citation

Koeth RA, Wang Z, Levison BS, Buffa JA, Org E, Sheehy BT, Britt EB, Fu X, Wu Y, Li L, Smith JD, DiDonato JA, Chen J, Li H, Wu GD, Lewis JD, Warrier M, Brown JM, Krauss RM, Tang WH, Bushman FD, Lusis AJ, Hazen SL. Intestinal microbiota metabolism of L-carn — View Citation

Leite AZ, Rodrigues NC, Gonzaga MI, Paiolo JCC, de Souza CA, Stefanutto NAV, Omori WP, Pinheiro DG, Brisotti JL, Matheucci Junior E, Mariano VS, de Oliveira GLV. Detection of Increased Plasma Interleukin-6 Levels and Prevalence of Prevotella copri and Bac — View Citation

López-Romero P, Pichardo-Ontiveros E, Avila-Nava A, Vázquez-Manjarrez N, Tovar AR, Pedraza-Chaverri J, Torres N. The effect of nopal (Opuntia ficus indica) on postprandial blood glucose, incretins, and antioxidant activity in Mexican patients with type 2 — View Citation

Mahendran Y, Cederberg H, Vangipurapu J, Kangas AJ, Soininen P, Kuusisto J, Uusitupa M, Ala-Korpela M, Laakso M. Glycerol and fatty acids in serum predict the development of hyperglycemia and type 2 diabetes in Finnish men. Diabetes Care. 2013 Nov;36(11): — View Citation

Pedersen HK, Gudmundsdottir V, Nielsen HB, Hyotylainen T, Nielsen T, Jensen BA, Forslund K, Hildebrand F, Prifti E, Falony G, Le Chatelier E, Levenez F, Doré J, Mattila I, Plichta DR, Pöhö P, Hellgren LI, Arumugam M, Sunagawa S, Vieira-Silva S, Jørgensen — View Citation

Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, Liang S, Zhang W, Guan Y, Shen D, Peng Y, Zhang D, Jie Z, Wu W, Qin Y, Xue W, Li J, Han L, Lu D, Wu P, Dai Y, Sun X, Li Z, Tang A, Zhong S, Li X, Chen W, Xu R, Wang M, Feng Q, Gong M, Yu J, Zhang Y, Zhang M, Hanse — View Citation

Sánchez-Tapia M, Aguilar-López M, Pérez-Cruz C, Pichardo-Ontiveros E, Wang M, Donovan SM, Tovar AR, Torres N. Nopal (Opuntia ficus indica) protects from metabolic endotoxemia by modifying gut microbiota in obese rats fed high fat/sucrose diet. Sci Rep. 20 — View Citation

Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011 Jun 24;12(6):R60. doi: 10.1186/gb-2011-12-6-r60. — View Citation

Serralde-Zúñiga AE, Guevara-Cruz M, Tovar AR, Herrera-Hernández MF, Noriega LG, Granados O, Torres N. Omental adipose tissue gene expression, gene variants, branched-chain amino acids, and their relationship with metabolic syndrome and insulin resistance — View Citation

Timper K, Grisouard J, Sauter NS, Herzog-Radimerski T, Dembinski K, Peterli R, Frey DM, Zulewski H, Keller U, Müller B, Christ-Crain M. Glucose-dependent insulinotropic polypeptide induces cytokine expression, lipolysis, and insulin resistance in human ad — View Citation

van der Hulst RR, van Kreel BK, von Meyenfeldt MF, Brummer RJ, Arends JW, Deutz NE, Soeters PB. Glutamine and the preservation of gut integrity. Lancet. 1993 May 29;341(8857):1363-5. — View Citation

Wexler HM. Bacteroides: the good, the bad, and the nitty-gritty. Clin Microbiol Rev. 2007 Oct;20(4):593-621. Review. — View Citation

Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011 Dec;94(3):311-21. doi: 10.1016/j.diabres.2011.10.029. Epub 2011 Nov 12. — View Citation

Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004 May;27(5):1047-53. — View Citation

Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB Sr. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med. 2007 May 28;167(10):1068-74. — View Citation

* Note: There are 25 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary intestinal microbiota Measurement of intestinal microbiota by sequencing using the Illumina platform Change from baseline gut microbiota at three months after the dietary intervention
Secondary Glucose metabolism profile serum glucose (mg/dl) Change from baseline serum glucose at three months after dietary intervention
Secondary Glucose metabolism profile serum insulin (µUI/ml) Change from baseline serum insulin at three months after dietary intervention
Secondary Glucose metabolism profile plasma glycated hemoglobin (HbA1c) (%) Change from baseline plasma HbA1c at three months after dietary intervention
Secondary Lipid metabolism profile serum triglycerides (mg/dl) Change from baseline serum triglycerides at three months after dietary intervention
Secondary Lipid metabolism profile serum total cholesterol (mg/dl) Change from baseline serum total cholesterol at three months after dietary intervention
Secondary Lipid metabolism profile serum LDL cholesterol (mg/dl) Change from baseline serum LDL cholesterol at three months after dietary intervention
Secondary Lipid metabolism profile serum HDL cholesterol (mg/dl) Change from baseline serum HDL cholesterol at three months after dietary intervention
Secondary Lipid metabolism profile plasma free fatty acids (FFA) (mmol/L) Change from baseline plasma free fatty acids at three months after dietary intervention
Secondary metabolomic profile plasma betaine (µmol/L) Change from baseline plasma betaine at three months after dietary intervention
Secondary metabolomic profile plasma choline (µmol/L) Change from baseline plasma choline at three months after dietary intervention
Secondary metabolomic profile plasma trimethylamine oxide (TMAO) (µmol/L) Change from baseline plasma TMAO at three months after dietary intervention
Secondary metabolomic profile plasma branched chain amino acids (BCAA) (µmol/L) Change from baseline plasma BCAA at three months after dietary intervention
Secondary inflammatory profile plasma lipopolysaccharide (LPS) (ng/ml) Change from baseline plasma LPS at three months after dietary intervention
Secondary inflammatory profile serum C reactive protein (CRP) (mg/dl) Change from baseline serum CRP at three months after dietary intervention
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