- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01334684
Gene Expression Profiles and Metformin Efficacy in Type 2 Diabetes
White Blood Cells Gene Expression Profiles as a Tool for Predicting Metformin Efficacy in Patients With Type 2 Diabetes Mellitus
Study Overview
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Salvatore De Cosmo, MD
- Phone Number: +39088241067
- Email: s.decosmo@operapadrepio.it
Study Contact Backup
- Name: Ornella Ludovico, MD
- Phone Number: +390882410625
- Email: o.ludovico@operapadrepio.it
Study Locations
-
-
Foggia
-
San Giovanni Rotondo, Foggia, Italy, 71013
- Casa Sollievo Della Sofferenza IRCCS
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Type 2 diabetes (duration of diabetes of at least 2 years)
- age 40-70 yrs
- HbA1c > 6.4 < 9.0
Exclusion Criteria:
- insulin therapy
- contraindications to metformin use
Study Plan
How is the study designed?
Design Details
- Primary Purpose: TREATMENT
- Allocation: NA
- Interventional Model: SINGLE_GROUP
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
OTHER: Metformin
At study entry, all oral hypoglycemic agents will be discontinued for 5 days and then metformin (2,550 mg/daily) will be given for 3 months. Fasting plasma glucose will be measured at baseline and 3 months after metformin treatment. Patients will be stratified according to the median value of metformin efficacy as indicated by fasting glucose change after metformin treatment (i.e. baseline fasting glucose minus 3-month fasting glucose). So, two subgroups of patients will be obtained, defined as relatively "high responders" (individual fasting glucose change > median value) or relatively "low responders" (individual fasting glucose change < median value) to metformin monotherapy. |
Metformin, pills, 850 mg three times a day for three months
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Fasting glucose change after metformin treatment in respect to mRNA and miRNA expression profiles in white blood cells
Time Frame: Baseline and after three months of metfomin therapy
|
Changes in fasting glucose levels will be used to evaluate if metformin monotherapy efficacy in type 2 diabetic patients is predicted by mRNA and/or miRNA expression profiles. Please note that metformin major effect is to decrease hepatic glucose output and, therefore, to lower fasting plasma glucose which is, in fact, the clinical outcome used in this study. Finally, because of a very short wash-out period (i.e. 5 days) we will not be able to use HbA1c which will be inevitably conditioned by previous oral hypoglicemic therapy. |
Baseline and after three months of metfomin therapy
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Change in fasting insulin levels after metformin treatment in respect to mRNA and miRNA expression profiles in white blood cells
Time Frame: Baseline and after three months of metfomin therapy
|
Baseline and after three months of metfomin therapy
|
Collaborators and Investigators
Collaborators
Investigators
- Study Chair: Salvatore De Cosmo, MD, Casa Sollievo Della Sofferenza IRCCS
Publications and helpful links
General Publications
- Nathan DM, Buse JB, Davidson MB, Ferrannini E, Holman RR, Sherwin R, Zinman B; American Diabetes Association; European Association for Study of Diabetes. Medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2009 Jan;32(1):193-203. doi: 10.2337/dc08-9025. Epub 2008 Oct 22.
- Iwao-Koizumi K, Matoba R, Ueno N, Kim SJ, Ando A, Miyoshi Y, Maeda E, Noguchi S, Kato K. Prediction of docetaxel response in human breast cancer by gene expression profiling. J Clin Oncol. 2005 Jan 20;23(3):422-31. doi: 10.1200/JCO.2005.09.078.
- Bertucci F, Finetti P, Rougemont J, Charafe-Jauffret E, Nasser V, Loriod B, Camerlo J, Tagett R, Tarpin C, Houvenaeghel G, Nguyen C, Maraninchi D, Jacquemier J, Houlgatte R, Birnbaum D, Viens P. Gene expression profiling for molecular characterization of inflammatory breast cancer and prediction of response to chemotherapy. Cancer Res. 2004 Dec 1;64(23):8558-65. doi: 10.1158/0008-5472.CAN-04-2696.
- Ayers M, Symmans WF, Stec J, Damokosh AI, Clark E, Hess K, Lecocke M, Metivier J, Booser D, Ibrahim N, Valero V, Royce M, Arun B, Whitman G, Ross J, Sneige N, Hortobagyi GN, Pusztai L. Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer. J Clin Oncol. 2004 Jun 15;22(12):2284-93. doi: 10.1200/JCO.2004.05.166. Epub 2004 May 10.
- Xia L, Zhang D, Du R, Pan Y, Zhao L, Sun S, Hong L, Liu J, Fan D. miR-15b and miR-16 modulate multidrug resistance by targeting BCL2 in human gastric cancer cells. Int J Cancer. 2008 Jul 15;123(2):372-379. doi: 10.1002/ijc.23501.
- Blower PE, Chung JH, Verducci JS, Lin S, Park JK, Dai Z, Liu CG, Schmittgen TD, Reinhold WC, Croce CM, Weinstein JN, Sadee W. MicroRNAs modulate the chemosensitivity of tumor cells. Mol Cancer Ther. 2008 Jan;7(1):1-9. doi: 10.1158/1535-7163.MCT-07-0573. Epub 2008 Jan 9.
- Sarasin-Filipowicz M, Krol J, Markiewicz I, Heim MH, Filipowicz W. Decreased levels of microRNA miR-122 in individuals with hepatitis C responding poorly to interferon therapy. Nat Med. 2009 Jan;15(1):31-3. doi: 10.1038/nm.1902. Epub 2009 Jan 4.
- Wingrove JA, Daniels SE, Sehnert AJ, Tingley W, Elashoff MR, Rosenberg S, Buellesfeld L, Grube E, Newby LK, Ginsburg GS, Kraus WE. Correlation of peripheral-blood gene expression with the extent of coronary artery stenosis. Circ Cardiovasc Genet. 2008 Oct;1(1):31-8. doi: 10.1161/CIRCGENETICS.108.782730.
- Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ; PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators. Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Ann Intern Med. 2010 Oct 5;153(7):425-34. doi: 10.7326/0003-4819-153-7-201010050-00005.
- Yakeu G, Butcher L, Isa S, Webb R, Roberts AW, Thomas AW, Backx K, James PE, Morris K. Low-intensity exercise enhances expression of markers of alternative activation in circulating leukocytes: roles of PPARgamma and Th2 cytokines. Atherosclerosis. 2010 Oct;212(2):668-73. doi: 10.1016/j.atherosclerosis.2010.07.002. Epub 2010 Jul 16.
- Camargo A, Ruano J, Fernandez JM, Parnell LD, Jimenez A, Santos-Gonzalez M, Marin C, Perez-Martinez P, Uceda M, Lopez-Miranda J, Perez-Jimenez F. Gene expression changes in mononuclear cells in patients with metabolic syndrome after acute intake of phenol-rich virgin olive oil. BMC Genomics. 2010 Apr 20;11:253. doi: 10.1186/1471-2164-11-253.
Study record dates
Study Major Dates
Study Start
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
Study Record Updates
Last Update Posted (ESTIMATE)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- GExpProMet
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