Pharmacogenetics of Metformin Action in PCOS

Virginia Commonwealth University55 enrolled

Overview

1. 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. 2. Knowing that a specific gene predicts the effect of metformin on ovulation would facilitate more efficient and effective treatment of infertility in PCOS.

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

Allocation

Purpose

TREATMENT

Masking

NONE

Enrollment

Conditions

Polycystic Ovary Syndrome

Interventions

Metformin 500 mg tabletDRUG

Metformin 500 mg tablets; two tablets every 12 hours for 9 months

Eligibility

Sex: FEMALEMin age: 18 YearsMax age: 45 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Premenopausal women between 18-45 years of age and BMI less than 42 * Diagnosed with PCOS as defined by the Rotterdam criteria, which is a combination of any two of the following three criteria: 1) chronic oligo- or amenorrhea (\<8 menstrual periods annually); 2) biochemical or clinical androgen excess; and 3) polycystic ovaries on ultrasonography -Normal thyroid function tests and serum prolactin; and exclusion of 21 alpha hydroxylase deficiency by a fasting 17 alpha hydroxyprogesterone less than 200 ng/dl -In acceptable health on the basis of interview, medical history, physical examination, and laboratory tests (CBC, SMA20,urinanalysis) -Able to provide signed, witnessed informed consent -Able to comply with study requirements Exclusion Criteria: -Diabetes mellitus by fasting glucose or OGTT, or clinically significant pulmonary, cardiac,renal,hepatic,neurologic,psychiatric,infectious,neoplastic and malignant disease (other than non-melanoma skin cancer) -Current use of oral contraceptives; use of fertility drugs within 6 months of study -Current or recent use (within 3 months prior to study entry) of metformin -Documented or suspected recent (within one year)history of drug abuse or alcoholism -Ingestion of any investigational drug within two months prior to study onset.

Locations (2)

University Of Virginia General Clinical Research Center

Charlottesville, Virginia, United States

Virginia Commonwealth University

Richmond, Virginia, United States

Outcomes

Primary Outcomes

Number of Responders/Non-responders for Each STK11 rs8111699 Genotype (C/G, C/C, G/G)

Responders were defined as those that had a doubling of baseline ovulation rate estimated by self-report of menstrual history.

Time frame: 9 months

Ovulation Rate Over Study Duration for STK11 Genotypes CC, CG and GG

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.

Time frame: 9 months

Secondary Outcomes

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.

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)

Time frame: 9 months

Data from ClinicalTrials.gov

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