Pharmacogenetics of Metformin Action in PCOS
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT00703508|
Recruitment Status : Completed
First Posted : June 23, 2008
Results First Posted : April 25, 2017
Last Update Posted : June 14, 2017
- The polycystic ovary syndrome is the major cause of infertility in the United States. Metformin has been shown to increase frequency of ovulations in PCOS, and is used in clinical practice to treat infertility, but some women with PCOS do not respond to metformin treatment.
- Knowing that a specific gene predicts the effect of metformin on ovulation would facilitate more efficient and effective treatment of infertility in PCOS.
|Condition or disease||Intervention/treatment||Phase|
|Polycystic Ovary Syndrome||Drug: Metformin 500 mg tablet||Not Applicable|
The polycystic ovary syndrome (PCOS) affects approximately 6-10% of women of childbearing age, i.e., 3.5-5.5 million women in the United States. PCOS is the most common endocrine disturbance of young women and the major cause (75%) of anovulatory infertility in the United States. We hypothesize that women with the polycystic ovary syndrome (PCOS) who have the G/G genotype of single nucleotide polymorphism (SNP)_ rs8111699 in STK11 will exhibit a significantly greater response to metformin, in terms of ovulation, compared with women with either the C/G or C/C genotype. Specifically, we anticipate the frequency of ovulation (defined by number of ovulations/9 months/subject) to be at least 2-fold higher in women with the G/G STK11 genotype compared with women with either the C/G or C/C genotype.
To test this hypothesis, we will obtain DNA for STK11 genotyping in 36 women with PCOS who are treated with metformin and carefully monitored for ovulation for 9 months. STK11 genotype status will be determined, and the ovulation rates in the G/G, G/C and C/C genotype groups will be compared with one another. Our goal is to identify the genes that predict or modify response to commonly prescribed medications that will allow physicians to better choose among existing therapies and individualize treatment. While metformin has been shown to increase ovulatory frequency in PCOS and is widely used in clinical practice to treat infertility, a substantial number of women either do not respond or are slow to respond to metformin treatment.
Knowing that a specific STK11 genotype predicts the effect of metformin on ovulation would facilitate more efficient and effective treatment of infertility in PCOS.
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||55 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||Pharmacogenetics of Metformin Action in PCOS|
|Study Start Date :||July 2008|
|Actual Primary Completion Date :||September 2013|
|Actual Study Completion Date :||March 2014|
Metformin tablet, 500 mg/tablet, 2 tablets every twelve hours, 9 months duration
Drug: Metformin 500 mg tablet
Metformin 500 mg tablets; two tablets every 12 hours for 9 months
Other Name: Glucophage
- Number of Responders/Non-responders for Each STK11 rs8111699 Genotype (C/G, C/C, G/G) [ Time Frame: 9 months ]Responders were defined as those that had a doubling of baseline ovulation rate estimated by self-report of menstrual history.
- Ovulation Rate Over Study Duration for STK11 Genotypes CC, CG and GG [ Time Frame: 9 months ]Ovulations were determined by measurement of daily urine pregnanediol-3-glucuronide or weekly progesterone levels over 6-9 months of study duration for each participant. The ovulation rate was calculated as the number of confirmed ovulation events per months of study participation.
- Determine in Which Genotype(s) Frequency of Ovulation Correlates With Improvement in Reduction in Total Testosterone and Insulin Sensitivity as Measured by the Matsuda Index. [ Time Frame: 9 months ]Bivariate fit (RSquare with P values) of ovulation rate post treatment by change in total testosterone and Matsuda Index for each of the 3 genotypes (G/G, C/G, C/C)
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00703508
|United States, Virginia|
|University Of Virginia General Clinical Research Center|
|Charlottesville, Virginia, United States, 22908|
|Virginia Commonwealth University|
|Richmond, Virginia, United States, 23298|
|Principal Investigator:||John E. Nestler, M.D.||Virginia Commonwealth University|