- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03906201
Effect of Phytoecdysterone Administration in Subjects With Prediabetes
Effect of Phytoecdysterone Administration on Cytotoxicity, Genotoxicity and Metabolic Control in Subjects With Prediabetes
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Subjects with a diagnosis of prediabetes are included according to the criteria of the American Diabetes Association in its version 2019, between 30 and 60 years old residents of the city of Guadalajara, Jalisco, Mexico who come to clinical nutrition consultation in the University Hospital Fray Antonio Alcalde from the city of Guadalajara, Jalisco, Mexico.
The study design is a randomized, randomized clinical trial with a control group in two groups: an intervention group with ecdysterone 300mg every 24 hours for 12 weeks (approximately 90 days) and an approved placebo control group (magnesia stearate) ) at 300mg every 24 hours for 12 weeks (approximately 90 days).
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: ANA FLETES
- Phone Number: 011521-3310585200
- Email: anna.fletes@gmail.com
Study Locations
-
-
Jalisco
-
Guadalajara, Jalisco, Mexico, 44340
- Recruiting
- Ana Fletes
-
Contact:
- ANA FLETES
- Phone Number: 34097/34098 3310585200
- Email: anna.fletes@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- - Fasting Plasma Glucose between 100 mg/dL (5.6 mmol/L) to 125 mg/dL (6.9 mmol/L)
- - Oral Glucose Tolerance Test 140 mg/dL (7.8 mmol/L) to 199 mg/dL (11.0 mmol/L)
- - A1C 5.7-6.4% (39-47 mmol/mol).
- - Body Mass Index >25 kg/m2 or >23 kg/m2
- Adults who have one or more of the following risk factors:
- First-degree relative with diabetes
- High-risk race/ethnicity
- History of CVD
- - Blood Pressure <140/90 mmHg without therapy for hypertension
- - HDL cholesterol level <0.35 mg/dL (0.90 mmol/L) and/or a triglyceride level >0.250 mg/dL (2.82 mmol/L)
Exclusion Criteria:
1.- Pregnant women or lactic period 2- Patients with some other chronic degenerative disease like diabetes mellitus 2 with pharmacologic treatment.
3.- Hypertension 4.- Cancer, 5.- Hyperthyroidism 6.- Hypothyroidism 7.- Immunologic disease 8.- Kidney disease 9.- Hepatic disease 10.- Cardiovascular disease 11- Abaqus activity 12.-Alcoholic activity.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Control Group
Subjects diagnosed with prediabetes according to the criteria of the American Diabetes Association, version 2019 with placebo treatment
|
no pharmacologic effect
Other Names:
|
Experimental: Ecdysterone Group
Subjects diagnosed with prediabetes according to the criteria of the American Diabetes Association, version 2019 whit ecdysterone treatment
|
Food supplement of plant origin with pronounced biological activity and potentially hypoglycaemic
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Changes in the number of micronuclei after 90 days
Time Frame: 90 days
|
The number of micronuclei will be evaluated at baseline and day 90 with Schmidt technique by giemsa/wright and the entered values reflect the number of micronuceli at day 90
|
90 days
|
Changes in fasting glucose levels after 90 days of intervention with betaecdysterone and placebo
Time Frame: 90 days
|
The fasting glucose levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques and the entered values reflect the fasting glucose level at day 90
|
90 days
|
Changes in glycosylated hemoglobin (A1C) after 90 days of intervention with betaecdysterone and placebo
Time Frame: 90 days
|
Glycosylated hemoglobin will be evaluated at baseline and day 90 by high pressure liquid chromatography (HPLC) and the entered values reflect the glycosylated hemoglobin at day 90
|
90 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Body Weight
Time Frame: 90 days
|
The body weight will be measured at baseline, day 30, day 60 and day 90 with a bioimpedance balance and the entered values reflect the body weight at 90 days
|
90 days
|
Body Mass Index
Time Frame: 90 days
|
Body Mass Index will be calculated at baseline, day 30, day 60 and day 90 with the Quetelet index formula and the entered values reflect the body mass index at day 90
|
90 days
|
Waist Circumference
Time Frame: 90 days
|
Waist circumference will be evaluated at baseline and at day 90 with a flexible tape
|
90 days
|
Total Cholesterol
Time Frame: 90 days
|
Total cholesterol levels will be evaluated at baseline and day 90 by enzymatic/colorimetric techniques and the entered values reflect the total cholesterol level at day 90
|
90 days
|
Triglycerides levels
Time Frame: 90 days
|
Triglycerides levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques and the entered values reflect the triglycerides level at day 90
|
90 days
|
High Density Lipoprotein (c-HDL) levels
Time Frame: 90 days
|
c-HDL levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques and the entered values reflect the c-HDL level at day 90
|
90 days
|
Low Density Lipoproteins (c-LDL) levels
Time Frame: 90 days
|
c-LDL levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques and the entered values reflect the c-LDL level at day 90
|
90 days
|
Creatinine levels
Time Frame: 90 days
|
Creatinine levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques
|
90 days
|
Alanine aminotransferase (ALT) levels
Time Frame: 90 days
|
ALT levels will be evaluated at baseline and day 90 with enzymatic/colorimetric techniques
|
90 days
|
Aspartate aminotransferase (AST) levels
Time Frame: 90 days
|
AST levels will be evaluated at baseline and day 90 enzymatic/colorimetric techniques
|
90 days
|
Blood pressure
Time Frame: 90 days
|
Blood pressure will be measured at baseline and day 90 with a digital sphygmomanometer and the entered values reflect the blood pressure at day 90
|
90 days
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: ANA FLETES, University of Guadalajara
Publications and helpful links
General Publications
- Andreassi MG, Barale R, Iozzo P, Picano E. The association of micronucleus frequency with obesity, diabetes and cardiovascular disease. Mutagenesis. 2011 Jan;26(1):77-83. doi: 10.1093/mutage/geq077.
- Berti C, Riso P, Monti LD, Porrini M. In vitro starch digestibility and in vivo glucose response of gluten-free foods and their gluten counterparts. Eur J Nutr. 2004 Aug;43(4):198-204. doi: 10.1007/s00394-004-0459-1. Epub 2004 Jan 6.
- Graf BL, Poulev A, Kuhn P, Grace MH, Lila MA, Raskin I. Quinoa seeds leach phytoecdysteroids and other compounds with anti-diabetic properties. Food Chem. 2014 Nov 15;163:178-85. doi: 10.1016/j.foodchem.2014.04.088. Epub 2014 May 4.
- Karaman A, Aydin H, Geckinli B, Cetinkaya A, Karaman S. DNA damage is increased in lymphocytes of patients with metabolic syndrome. Mutat Res Genet Toxicol Environ Mutagen. 2015 Apr;782:30-5. doi: 10.1016/j.mrgentox.2015.03.009. Epub 2015 Mar 13.
- Leon-Munoz LM, Guallar-Castillon P, Lopez Garcia E, Banegas JR, Gutierrez-Fisac JL, Rodriguez-Artalejo F. Relationship of BMI, waist circumference, and weight change with use of health services by older adults. Obes Res. 2005 Aug;13(8):1398-404. doi: 10.1038/oby.2005.169.
- Penarrieta JM, Alvarado JA, Akesson B, Bergenstahl B. Total antioxidant capacity and content of flavonoids and other phenolic compounds in canihua (Chenopodium pallidicaule): an Andean pseudocereal. Mol Nutr Food Res. 2008 Jun;52(6):708-17. doi: 10.1002/mnfr.200700189.
- Rajesha J, Murthy KN, Kumar MK, Madhusudhan B, Ravishankar GA. Antioxidant potentials of flaxseed by in vivo model. J Agric Food Chem. 2006 May 31;54(11):3794-9. doi: 10.1021/jf053048a.
- Ranilla LG, Apostolidis E, Genovese MI, Lajolo FM, Shetty K. Evaluation of indigenous grains from the Peruvian Andean region for antidiabetes and antihypertension potential using in vitro methods. J Med Food. 2009 Aug;12(4):704-13. doi: 10.1089/jmf.2008.0122.
- Stewart LK, Soileau JL, Ribnicky D, Wang ZQ, Raskin I, Poulev A, Majewski M, Cefalu WT, Gettys TW. Quercetin transiently increases energy expenditure but persistently decreases circulating markers of inflammation in C57BL/6J mice fed a high-fat diet. Metabolism. 2008 Jul;57(7 Suppl 1):S39-46. doi: 10.1016/j.metabol.2008.03.003.
- Voss S, Hesse A, Zimmermann DJ, Sauerbruch T, von Unruh GE. Intestinal oxalate absorption is higher in idiopathic calcium oxalate stone formers than in healthy controls: measurements with the [(13)C2]oxalate absorption test. J Urol. 2006 May;175(5):1711-5. doi: 10.1016/S0022-5347(05)01001-3.
- Hou Y, Aboukhatwa MA, Lei DL, Manaye K, Khan I, Luo Y. Anti-depressant natural flavonols modulate BDNF and beta amyloid in neurons and hippocampus of double TgAD mice. Neuropharmacology. 2010 May;58(6):911-20. doi: 10.1016/j.neuropharm.2009.11.002. Epub 2009 Nov 14.
- Álvarez-Gasca Ma, Hernández-Pozo MR, Jiménez-Martínez M, Durán-Díaz A. Estilo de vida y presencia de síndrome metabólico en estudiantes universitarios. Diferencias por sexo. Rev de psicología. 2014; 32(1):121-138
- •Aparicio MR, Estrada LA, Fernández C, Hernández RM, Ruiz M, Ramos D, et al. Manual de antropometría. Instituto nacional de ciencias médicas y nutrición salvador zubirán: 2014 citar en:http://www.facmed.unam.mx/deptos/salud/censenanza/spi/unidad2/antropometria_manualinnsz.pdf
- FAO, 2013. Food and agriculture organization of the united nations rome. Http://www.fao.org/docrep/018/i3300e/i3300e00.pdf
- FAO. Food and agriculture organization of the united nations 2011. La quinua: cultivo milenario para contribuir a la seguridad alimentaria mundial. Http://www.fao.org/docrep/017/aq287s/aq287s.pdf
- Figuerola F, Muñoz O, Estévez AM. La linaza como fuente de compuestos bioactivos para la elaboración de alimentos. Agro sur. 2008; 36(2): 49-58. Doi:10.4206/agrosur.2008.v36n2-01
- Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando-Hernández S, Franco A, Cuevas-Nasu l, et al. Encuesta nacional de salud y nutrición 2012. Resultados nacionales. Cuernavaca, méxico: instituto nacional de salud pública (mx), 2012
- Harishankar MK, Logeshwaran S, Sujeevan S, Aruljothi KN, Dannie MA, Devi A. Genotoxicity evaluation of metformin and glimepiride by micronucleus assay in exfoliated urothelial cells of type 2 diabetes mellitus patients. Food Chem Toxicol. 2015 Sep;83:146-50. doi: 10.1016/j.fct.2015.06.013. Epub 2015 Jun 24.
- Lizarzaburu-Robles JC. Síndrome metabólico: metabolicsyndrome: concept and practical application. An facmed. 2013;74(4):315-320.
- Kaufer-Horwitz M, Toussaint G. Indicadores antropométricos para evaluar sobrepeso y obesidad en pediatría. Bol. Med. Hosp. Infant. Mex; 2008;65(6): 502-518.
- Moreno-Altamirano l, García-García JJ, Soto-Estrada G, Capraro S, Limón-Cruz D. Epidemiología y determinantes sociales asociados a la obesidad y la diabetes tipo 2 en méxico. Revmedhosp gen méx. 2014; 77(3):86-95.
- Morris D, Vaisey-Genserb. Availability and labeling of flaxseedfood, products and supplements. In: thompson, l. U.; cunnane s. C. Flaxseed in human nutrition. 2003. 2nd edn., champaign, illinois. Aocs press. Pp. 404-422.
- Murakami A, Ashida H, Terao J. Multitargeted cancer prevention by quercetin. Cancer Lett. 2008 Oct 8;269(2):315-25. doi: 10.1016/j.canlet.2008.03.046. Epub 2008 May 7.
- Ojeda-Lavin A. Proyecciones de la población 2010-2050. Consejo nacional de población méxico. 2014.http://www.conapo.gob.mx/es/conapo/proyecciones.
- Omsa. Datos y cifras. 10 datos sobre la obesidad. 2015. Disponible en: http://www.who.int/features/factfiles/obesity/facts/es/index1.html
- Cuevas ZO, Sangronis E. [Characterization of flaxseed (Linum usitatissimum L.) grown in Venezuela]. Arch Latinoam Nutr. 2012 Jun;62(2):192-200. Spanish.
- Ramcharitar A, Badrie N, Mattfeldtbeman M, Matsuo H, Ridley C. Consumeracceptability of muffinswithflaxseed (linumusitatissimum). J. Foodsci 2005;70: 504-507.
- Repo-Carrasco-Valencia R, Hellströmb JK, Juha-Matti P, Mattila PH. Flavonoids and other phenolic compounds in andean indigenous grains: quinoa (chenopodium quinoa), kañiwa (chenopodium pallidicaule) and kiwicha (amaranthus caudatus). Food chemistry. 2010; 120(1):128-133.
- Shahidi F, Kim SK. Quality management of marine nutraceuticals. In: ho c-t, zheng qy, editors. Quality management of nutraceuticals. Acs symposium series 803. Washington, d.c.: american chemical society. 2002.p. 76-87.
- Spedding G, Ratty A, Middleton E Jr. Inhibition of reverse transcriptases by flavonoids. Antiviral Res. 1989 Sep;12(2):99-110. doi: 10.1016/0166-3542(89)90073-9.
- Torres-Bugarín O, Ramos-Ibarra ML. Utilidad de la prueba de micronúcleos y anormalidades nucleares en células exfoliadas de mucosa oral en la evaluación de daño genotóxico y citotóxico. Int. J. Morphol. 2013. 31(2):650-657.
- Torres-Bugarín O, Zavala-cerna MG, Macriz-Romero N, Flores-García A, Ramos-Ibarra ML. Procedimientos básicos de la prueba de micronúcleos y anormalidades nucleares en células exfoliadas de mucosa oral. El residente. 2013; (8):4-11.
- Zimmet P, M M Alberti KG, Serrano Rios M. [A new international diabetes federation worldwide definition of the metabolic syndrome: the rationale and the results]. Rev Esp Cardiol. 2005 Dec;58(12):1371-6. No abstract available. Erratum In: Rev Esp Cardiol. 2006 Feb;59(2):185. Spanish.
- Zong G, Demark-Wahnefried W, Wu H, Lin X. Effects of flaxseed supplementation on erythrocyte fatty acids and multiple cardiometabolic biomarkers among Chinese with risk factors of metabolic syndrome. Eur J Nutr. 2013 Aug;52(5):1547-51. doi: 10.1007/s00394-012-0461-y. Epub 2012 Nov 23.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 125/18
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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