Type 2 Diabetes Mellitus Clinical Trial
Official title:
A Dietary Intervention With Functional Foods Reduce Metabolic Endotoxemia and Attenuates Biochemical Abnormalities in Subjects With Type 2 Diabetes by Modifying the Gut Microbiota.
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 |
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
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 |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran | University of Connecticut |
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
Boden G, Shulman GI. Free fatty acids in obesity and type 2 diabetes: defining their role in the development of insulin resistance and beta-cell dysfunction. Eur J Clin Invest. 2002 Jun;32 Suppl 3:14-23. Review. — View Citation
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 all — Click here to view all references
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 |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT02771093 -
An Exploratory Study of the Effects of Trelagliptin and Alogliptin on Glucose Variability in Patients With Type 2 Diabetes Mellitus
|
Phase 4 | |
Completed |
NCT02545842 -
Assessment Study of Three Different Fasting Plasma Glucose Targets in Chinese Patients With Type 2 Diabetes Mellitus (BEYOND III/FPG GOAL)
|
Phase 4 | |
Recruiting |
NCT03436212 -
Real-Life Home Glucose Monitoring Over 14 Days in T2D Patients With Intensified Therapy Using Insulin Pump.
|
N/A | |
Completed |
NCT03244800 -
A Study to Investigate Different Doses of 0382 in Overweight and Obese Subjects With Type 2 Diabetes Mellitus.
|
Phase 2 | |
Completed |
NCT03960424 -
Diabetes Management Program for Hispanic/Latino
|
N/A | |
Withdrawn |
NCT02769091 -
A Study in Adult Patients With Nonalcoholic Steatohepatitis Who Also Have Type 2 Diabetes
|
Phase 2 | |
Recruiting |
NCT06065540 -
A Research Study to See How Well CagriSema Compared to Semaglutide, Cagrilintide and Placebo Lowers Blood Sugar and Body Weight in People With Type 2 Diabetes Treated With Metformin With or Without an SGLT2 Inhibitor
|
Phase 3 | |
Recruiting |
NCT05008276 -
Puberty, Diabetes, and the Kidneys, When Eustress Becomes Distress (PANTHER Study)
|
||
Completed |
NCT04091373 -
A Study Investigating the Pharmacokinetics of a Single Dose Administration of Cotadutide
|
Phase 1 | |
Completed |
NCT03296800 -
Study to Evaluate Effects of Probenecid, Rifampin and Verapamil on Bexagliflozin in Healthy Subjects
|
Phase 1 | |
Recruiting |
NCT06212778 -
Relationship Between Nutritional Status, Hand Grip Strength, and Fatigue in Hospitalized Older Adults With Type 2 Diabetes Mellitus.
|
||
Completed |
NCT05979519 -
Fresh Carts for Mom's to Improve Food Security and Glucose Management
|
N/A | |
Recruiting |
NCT05579314 -
XW014 in Healthy Subjects and Patients With Type 2 Diabetes Mellitus (T2DM)
|
Phase 1 | |
Completed |
NCT03859934 -
Metabolic Effects of Melatonin Treatment
|
Phase 1 | |
Terminated |
NCT03684642 -
Efficacy and Safety of Efpeglenatide Versus Dulaglutide in Patients With Type 2 Diabetes Mellitus Inadequately Controlled With Metformin
|
Phase 3 | |
Completed |
NCT03248401 -
Effect of Cilostazol on Carotid Atherosclerosis Estimated by 3D Ultrasound in Patients With Type 2 Diabetes
|
Phase 4 | |
Completed |
NCT03644134 -
A Personalized Intervention to Manage Physiological Stress and Improve Sleep Patterns
|
N/A | |
Completed |
NCT05295160 -
Fasting-Associated Immune-metabolic Remission of Diabetes
|
N/A | |
Completed |
NCT02836873 -
Safety and Efficacy of Bexagliflozin in Type 2 Diabetes Mellitus Patients With Moderate Renal Impairment
|
Phase 3 | |
Completed |
NCT02252224 -
Forxiga (Dapagliflozin) Regulatory Postmarketing Surveillance
|