Gene Expression Profiles and Metformin Efficacy in Type 2 Diabetes
NCT ID: NCT01334684
Last Updated: 2011-04-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
100 participants
INTERVENTIONAL
2011-05-31
2013-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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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
Metformin, pills, 850 mg three times a day for three months
Interventions
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Metformin
Metformin, pills, 850 mg three times a day for three months
Eligibility Criteria
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Inclusion Criteria
* age 40-70 yrs
* HbA1c \> 6.4 \< 9.0
Exclusion Criteria
* contraindications to metformin use
40 Years
70 Years
ALL
No
Sponsors
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University Hospital, Catania
OTHER
Casa Sollievo della Sofferenza IRCCS
OTHER
Responsible Party
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Casa Sollievo della Sofferenza IRCCS
Principal Investigators
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Salvatore De Cosmo, MD
Role: STUDY_CHAIR
Casa Sollievo della Sofferenza IRCCS
Locations
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Casa Sollievo Della Sofferenza IRCCS
San Giovanni Rotondo, Foggia, Italy
Countries
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Central Contacts
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References
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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.
Other Identifiers
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GExpProMet
Identifier Type: -
Identifier Source: org_study_id
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