Polycystic Ovary Syndrome (PCOS)NCT01927471
Nutritional and Metabolic Correlates of Ovarian Morphology in Women With Polycystic Ovary Syndrome
An observational study of Polycystic Ovary Syndrome (PCOS) and Menstrual Irregularity, run by Cornell University at 3 sites in United States.
Trial summary
The investigators would like to determine how aspects of metabolism and age influence ovarian function. The purpose of the study is to understand how nutrition and metabolism relate to follicle development in women with regular cycles, irregular cycles, or polycystic ovary syndrome (PCOS). Read more about this study
- Who is it for?
- Ages 18 to 48 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Polycystic Ovary Syndrome (PCOS), Menstrual Irregularity
- How many people
- 129 participants
- Where
- 3 sitesUnited States
- Study dates
- Sep 2011to Jul 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 48 years
- Women only
- Healthy volunteers accepted
- Adult
Study population: Women must be able to transport to Cornell University and University of Rochester. Eligible participants are between 18-48 years with a BMI of 18 kg/m2 or higher. Women are screened and enrolled following consent based on their response to our advertisements. Enrollment is restricted to the geographical area.
Who may be able to join
- Between 18 and 48 years
- BMI ≥ 18 kg/m2
- Either:
- Regular menstrual cycles (21-35 days);
- Irregular menstrual cycles (>36 days); or
- Previous diagnosis of PCOS from a primary care provider
- If 21 years of age or older, must have had a healthy pelvic exam w/in the past 2 years
Who cannot join
- Current use of medication(s) known or suspected to interfere with reproductive function (eg. oral contraceptives) or insulin sensitivity
- Pregnant or breastfeeding
- Not otherwise healthy
- Significant weight changes within the last three months
Trial locations and contacts
3 sites in 1 country.
United States3 sites
Human Metabolic Research Unit, Cornell University
Ithaca, New York, 14853
Strong Fertility Center
Rochester, New York, 14623
CRC at University of Rochester Medical Center
Rochester, New York, 14642
About this study
The investigators would like to determine how aspects of metabolism and age influence ovarian function. The purpose of the study is to understand how nutrition and metabolism relate to follicle development in women with regular cycles, irregular cycles, or polycystic ovary syndrome (PCOS). We also plan to identify lifestyle factors associated with PCOS and understand how diet and activity levels impact features of PCOS.
Read the detailed description
In the ovaries, eggs rest in fluid filled sacs called follicles. When follicles grow they form small fluid-filled cysts that can be easily seen when we use ultrasound to view the ovaries. In women with regular menstrual cycles, groups of follicles grow and regress 2 to 3 times during their cycle (usually over a 28- day period). Several of these follicles grow to a stage where they begin to develop the potential to ovulate - but in general only one follicle is chosen to ovulate. Thus, at any given time during the menstrual cycle, numerous fluid-filled follicles can be visualized in a woman's ovaries at various stages of development using transvaginal ultrasonography. In women with absent or infrequent menstrual cycles, very little is known about the growth patterns of their follicles and how factors such as metabolic hormones, might play a role in the failure to ovulate. Being underweight or overweight increases your chances of having irregular or absent menstrual cycles and a history of abnormal reproductive function compounds your risks for chronic diseases such as infertility, diabetes, hypertension, atherosclerosis and certain cancers. This is particularly the case for women with PCOS that have menstrual cycles that appear to worsen or improve depending on their body weight and metabolic status. Polycystic ovary syndrome (PCOS) is an endocrine disorder that affects 6-12% of reproductive-aged women within the general population. The hallmark features of PCOS are menstrual irregularity, increased levels of androgens, and polycystic ovaries. The current diagnostic criteria require 2 out of 3 of these features to be present for the diagnosis, therefore a number of phenotypes of PCOS exist. However, the metabolic and reproductive differences across the phenotypic spectrum of PCOS are not well understood. Women with PCOS characteristically have polycystic ovaries, where up to 10 times more follicles are present in the ovary at any given time. Further, the follicle-size populations and overall distribution throughout the ovary varies in women - follicles may be situated around the periphery of the ovary or may be distributed throughout the ovary. Presumably these small follicles are arrested in development - but emerging data from the Lujan laboratory suggest that this is not the case. Rather, follicles continue to grow in a dynamic pattern during these prolonged periods of anovulation. By comparing follicle populations, reproductive hormones and markers of metabolism in women with regular cycles, women with irregular cycles, and women with a history of PCOS, the researchers plan to identify what factors might explain why fertility potential and long-term health are compromised in some women but not in others. By including women at both early and late stages of their reproductive potential, the researchers will also be able to assess what influence age has on these factors. The ultimate goal of this research is to understand how nutrition and metabolism regulate follicle development in women so we can better develop lifestyle and drug therapies to help women preserve their fertility and long-term health. Since obesity has recently become the leading cause of infertility in North America, these studies are especially important.
Current research has failed to thoroughly examine the relationships between dietary intake, energy expenditure and PCOS. The purpose of this proposed study is to identify lifestyle factors associated with PCOS. Through dietary intake and energy expenditure data, the researchers plan to examine potential lifestyle differences between PCOS and healthy women, as well as between BMI classifications within women with PCOS. The Research Team will also be able to evaluate the diet quality according to the USDA Dietary Guidelines for Americans of all women included in the study. The Research Team is also interested in the relationships between biological markers and lifestyle endpoints in women with and without PCOS. Previous literature has shown there are biological marker differences between those with and without PCOS. By examining these relationships, researchers may further understand whether PCOS status is associated with lifestyle parameters.
To accomplish these objectives, the investigators plan to recruit 120 women with regular menstrual cycles and 240 women with irregular menstrual cycles, with or without PCOS (sub-grouped into 120 women with irregular menstrual cycles and 120 women with a history of PCOS). Their goal is to recruit an equal number of women in each group such that they are matched for age (18 - 48 years old) and body mass index (BMI; Normal weight = 18 - 24.9 kg/m2; Overweight = 25 - 29.9 kg/m2; Obese ≥ 30kg/m2). Women will be included in the PCOS sub-group if they have a confirmed PCOS diagnosis from their primary care provider. Ultrasound scans of the ovaries will be assessed for the total number, size, and distribution of follicles using both two- and three-dimensional imaging techniques. Participants will have blood samples collected determine serum concentrations of luteinizing hormone (LH), follicle stimulating hormone (FSH), estradiol, progesterone, anti-müllerian hormone (AMH), and inhibin B. The following metabolic parameters will be assessed: (1) 75-gram oral glucose tolerance test to characterize glucose and insulin dynamics at 0, 30, 60, 90, and 120 minutes post-glucose ingestion; (2) dual X-ray absorptiometry (DXA) scan to quantify body fat and lean muscle distribution; (3) vitals and anthropometry assessment to measure waist and hip circumference, height, weight, blood pressure, and heart rate, and (4) fasting blood tests to detect serum concentrations of androgens (i.e., total testosterone, androstenedione, free androgen index) and serum markers of metabolic syndrome (i.e., lipids and hemoglobin A1C). Participants will complete a food frequency questionnaire, a semi-structured dietary interview, and physical activity questionnaire. A researcher may also provide participants with an accelerometer to wear for a week. Participants may also elect to participate in an optional subcutaneous fat biopsy.
- Keywords
- Menstrual cycles, Ultrasound, Ovary, Polycystic Ovary Syndrome (PCOS), Physical activity, Diet
- Medical subject headings
- Polycystic Ovary Syndrome, Menstruation Disturbances, Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Regular menstrual cycles | Adult women will be assigned to this category if they report a history of regular menstrual cycles. We will aim to recruit 120 women in this category. | |
| Irregular menstrual cycles, no PCOS | Adult women will be assigned to this category if they report a history of irregular menstrual cycles, without a pre-existing diagnosis of PCOS. We will aim to recruit 120 women in this category. | |
| Irregular menstrual cycles, with PCOS | Adult women will be assigned to this category if they report a history of irregular menstrual cycles with a pre-existing diagnosis of PCOS by a physician. We will aim to recruit 120 women in this category. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Follicle number per ovary
The number and size of all follicles in each ovary will be assess by ultrasonography for each participant with regular menstrual cycles, irregular menstrual cycles and PCOS.
Measured: 1 day
Insulin sensitivity
Insulin sensitivity will be determined by administration of an oral glucose tolerance test and compared across groups.
Measured: 1 day
Secondary outcomes (14)
Ovarian Volume
The size of each ovary will be determined by ultrasonography for each participant and compared across groups.
Measured: 1 day
Anti-Müllerian hormone
Circulating AMH levels in the serum will be determined for each participant and compared across groups.
Measured: 1 day
LH-FSH ratio
The ratio of circulating LH to FSH concentrations in the serum will be determined for each participant and compared across groups.
Measured: 1 day
Androgen concentrations
Total testosterone, androstenedione and free androgen index concentrations in serum will be determined and compared across groups.
Measured: 1 day
Menstrual Cycle Length
Average menstrual cycle length as determined by self-reported history will be determined and compared across groups.
Measured: 1 day
Hirsutism
Degree of hirsutism as judged by the Ferriman-Gallwey scale will be determined and compared across groups.
Measured: 1 day
Serum markers of metabolic syndrome
Lipids, glucose and HbA1C concentrations will be determined and compared across groups.
Measured: 1 day
Blood Pressure
Blood pressure will be determined and compared across groups.
Measured: 1 day
Body mass index
The ratio of weight to height will be determined and compared across groups.
Measured: 1 day
Waist-to-hip ratio
The ratio of waist circumference to hip circumference will be determined and compared across groups.
Measured: 1 day
Body fat distribution
Percentage and distribution of fat and lean mass as assessed using DXA technology will be compared across groups.
Measured: 1 day
Differences in diet composition between women with and without PCOS
A food frequency questionnaire will be administered to assess diet composition for the last three months
Measured: 1 week
Differences in energy expenditure between women with and without PCOS
Participants will be asked to wear a small accelerometer device to assess physical activity
Measured: 1 week
Subcutaneous fat biopsy (optional)
Subcutaneous fat biopsies will be conducted to assess differences in fat cell populations (major site of reproductive hormone synthesis) between groups
Measured: 1 day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Aug 2013 (estimated)
- Study startSep 2011
- Primary completionJul 2019
- Study completionJul 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Polycystic Ovary Syndrome (PCOS)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Cross-sectional
- Enrolment
- 129 participants (actual)
Sponsor and investigators
- Lead sponsor
- Cornell University
- Sponsor type
- University, hospital or other
- Collaborators
- University of Rochester
- Responsible party
- Sponsor
- Investigators
- Marla E. Lujan, PhD, Principal investigator, Cornell University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01927471
- Sponsor's protocol ID
- IRB #: 1108002383
- Status last verified
- Feb 2024
- First submitted
- 20 Aug 2013
- Last updated
- 9 Feb 2024
- Results posted
- No
- Data monitoring committee
- No
Publications
Evans AT, Rehani E, Smith B, Hong MD, Lewin Z, Hiroshige K, Spandorfer SD, Hajirasouliha I, Lujan ME, Hoeger KM. Diagnosis of Polycystic Ovary Syndrome With Predictive Modeling of Select Clinical Features. O G Open. 2026 Mar 19;3(2):e161. doi: 10.1097/og9.0000000000000161. eCollection 2026 Apr.
PubMed 41868592
Study at a glance
From the registry record, last updated by the sponsor on 9 Feb 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Nutritional and Metabolic Correlates of Ovarian Morphology in Women With Polycystic Ovary Syndrome
- ClinicalTrials.gov ID
- NCT01927471
- Acronym / sponsor ID
- IRB #: 1108002383
- Keywords
- Menstrual cycles, Ultrasound, Ovary, Polycystic Ovary Syndrome (PCOS), Physical activity, Diet
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 129 participants (actual)
- Lead sponsor
- Cornell UniversityUniversity, hospital or other
- Collaborators
- University of Rochester
- Study start
- Sep 2011
- Primary completion
- Jul 2019 (actual)
- Study completion
- Jul 2019 (actual)
- First posted
- 22 Aug 2013 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The investigators would like to determine how aspects of metabolism and age influence ovarian function. The purpose of the study is to understand how nutrition and metabolism relate to follicle development in women with regular cycles, irregular cycles, or polycystic ovary syndrome (PCOS). We also plan to identify lifestyle factors associated with PCOS and understand how diet and activity levels impact features of PCOS.
Detailed description
In the ovaries, eggs rest in fluid filled sacs called follicles. When follicles grow they form small fluid-filled cysts that can be easily seen when we use ultrasound to view the ovaries. In women with regular menstrual cycles, groups of follicles grow and regress 2 to 3 times during their cycle (usually over a 28- day period). Several of these follicles grow to a stage where they begin to develop the potential to ovulate - but in general only one follicle is chosen to ovulate. Thus, at any given time during the menstrual cycle, numerous fluid-filled follicles can be visualized in a woman's ovaries at various stages of development using transvaginal ultrasonography. In women with absent or infrequent menstrual cycles, very little is known about the growth patterns of their follicles and how factors such as metabolic hormones, might play a role in the failure to ovulate. Being underweight or overweight increases your chances of having irregular or absent menstrual cycles and a history of abnormal reproductive function compounds your risks for chronic diseases such as infertility, diabetes, hypertension, atherosclerosis and certain cancers. This is particularly the case for women with PCOS that have menstrual cycles that appear to worsen or improve depending on their body weight and metabolic status. Polycystic ovary syndrome (PCOS) is an endocrine disorder that affects 6-12% of reproductive-aged women within the general population. The hallmark features of PCOS are menstrual irregularity, increased levels of androgens, and polycystic ovaries. The current diagnostic criteria require 2 out of 3 of these features to be present for the diagnosis, therefore a number of phenotypes of PCOS exist. However, the metabolic and reproductive differences across the phenotypic spectrum of PCOS are not well understood. Women with PCOS characteristically have polycystic ovaries, where up to 10 times more follicles are present in the ovary at any given time. Further, the follicle-size populations and overall distribution throughout the ovary varies in women - follicles may be situated around the periphery of the ovary or may be distributed throughout the ovary. Presumably these small follicles are arrested in development - but emerging data from the Lujan laboratory suggest that this is not the case. Rather, follicles continue to grow in a dynamic pattern during these prolonged periods of anovulation. By comparing follicle populations, reproductive hormones and markers of metabolism in women with regular cycles, women with irregular cycles, and women with a history of PCOS, the researchers plan to identify what factors might explain why fertility potential and long-term health are compromised in some women but not in others. By including women at both early and late stages of their reproductive potential, the researchers will also be able to assess what influence age has on these factors. The ultimate goal of this research is to understand how nutrition and metabolism regulate follicle development in women so we can better develop lifestyle and drug therapies to help women preserve their fertility and long-term health. Since obesity has recently become the leading cause of infertility in North America, these studies are especially important.
Current research has failed to thoroughly examine the relationships between dietary intake, energy expenditure and PCOS. The purpose of this proposed study is to identify lifestyle factors associated with PCOS. Through dietary intake and energy expenditure data, the researchers plan to examine potential lifestyle differences between PCOS and healthy women, as well as between BMI classifications within women with PCOS. The Research Team will also be able to evaluate the diet quality according to the USDA Dietary Guidelines for Americans of all women included in the study. The Research Team is also interested in the relationships between biological markers and lifestyle endpoints in women with and without PCOS. Previous literature has shown there are biological marker differences between those with and without PCOS. By examining these relationships, researchers may further understand whether PCOS status is associated with lifestyle parameters.
To accomplish these objectives, the investigators plan to recruit 120 women with regular menstrual cycles and 240 women with irregular menstrual cycles, with or without PCOS (sub-grouped into 120 women with irregular menstrual cycles and 120 women with a history of PCOS). Their goal is to recruit an equal number of women in each group such that they are matched for age (18 - 48 years old) and body mass index (BMI; Normal weight = 18 - 24.9 kg/m2; Overweight = 25 - 29.9 kg/m2; Obese ≥ 30kg/m2). Women will be included in the PCOS sub-group if they have a confirmed PCOS diagnosis from their primary care provider. Ultrasound scans of the ovaries will be assessed for the total number, size, and distribution of follicles using both two- and three-dimensional imaging techniques. Participants will have blood samples collected determine serum concentrations of luteinizing hormone (LH), follicle stimulating hormone (FSH), estradiol, progesterone, anti-müllerian hormone (AMH), and inhibin B. The following metabolic parameters will be assessed: (1) 75-gram oral glucose tolerance test to characterize glucose and insulin dynamics at 0, 30, 60, 90, and 120 minutes post-glucose ingestion; (2) dual X-ray absorptiometry (DXA) scan to quantify body fat and lean muscle distribution; (3) vitals and anthropometry assessment to measure waist and hip circumference, height, weight, blood pressure, and heart rate, and (4) fasting blood tests to detect serum concentrations of androgens (i.e., total testosterone, androstenedione, free androgen index) and serum markers of metabolic syndrome (i.e., lipids and hemoglobin A1C). Participants will complete a food frequency questionnaire, a semi-structured dietary interview, and physical activity questionnaire. A researcher may also provide participants with an accelerometer to wear for a week. Participants may also elect to participate in an optional subcutaneous fat biopsy.
Study design
- Observational model
- Case-control
- Time perspective
- Cross-sectional
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Regular menstrual cycles | – | –Adult women will be assigned to this category if they report a history of regular menstrual cycles. We will aim to recruit 120 women in this category. |
| Irregular menstrual cycles, no PCOS | – | –Adult women will be assigned to this category if they report a history of irregular menstrual cycles, without a pre-existing diagnosis of PCOS. We will aim to recruit 120 women in this category. |
| Irregular menstrual cycles, with PCOS | – | –Adult women will be assigned to this category if they report a history of irregular menstrual cycles with a pre-existing diagnosis of PCOS by a physician. We will aim to recruit 120 women in this category. |
Who may qualify
- Ages
- 18 to 48 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- Women must be able to transport to Cornell University and University of Rochester. Eligible participants are between 18-48 years with a BMI of 18 kg/m2 or higher. Women are screened and enrolled following consent based on their response to our advertisements. Enrollment is restricted to the geographical area.
Key inclusion criteria (7 listed)
- Between 18 and 48 years
- BMI ≥ 18 kg/m2
- Regular menstrual cycles (21-35 days);
- Irregular menstrual cycles (>36 days); or
- Previous diagnosis of PCOS from a primary care provider
Key exclusion criteria (4 listed)
- Current use of medication(s) known or suspected to interfere with reproductive function (eg. oral contraceptives) or insulin sensitivity
- Pregnant or breastfeeding
- Not otherwise healthy
- Significant weight changes within the last three months
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Follicle number per ovary
Time frame: 1 day
The number and size of all follicles in each ovary will be assess by ultrasonography for each participant with regular menstrual cycles, irregular menstrual cycles and PCOS.
Insulin sensitivity
Time frame: 1 day
Insulin sensitivity will be determined by administration of an oral glucose tolerance test and compared across groups.
14 secondary outcomes
Ovarian Volume
Time frame: 1 day
Anti-Müllerian hormone
Time frame: 1 day
LH-FSH ratio
Time frame: 1 day
Androgen concentrations
Time frame: 1 day
Menstrual Cycle Length
Time frame: 1 day
Hirsutism
Time frame: 1 day
Serum markers of metabolic syndrome
Time frame: 1 day
Blood Pressure
Time frame: 1 day
Body mass index
Time frame: 1 day
Waist-to-hip ratio
Time frame: 1 day
Body fat distribution
Time frame: 1 day
Differences in diet composition between women with and without PCOS
Time frame: 1 week
Differences in energy expenditure between women with and without PCOS
Time frame: 1 week
Subcutaneous fat biopsy (optional)
Time frame: 1 day
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Feb 2024.
- Derived from this study: PubMed 41868592Evans AT, Rehani E, Smith B, Hong MD, Lewin Z, Hiroshige K, Spandorfer SD, Hajirasouliha I, Lujan ME, Hoeger KM. Diagnosis of Polycystic Ovary Syndrome With Predictive Modeling of Select Clinical Features. O G Open. 2026 Mar 19;3(2):e161. doi: 10.1097/og9.0000000000000161. eCollection 2026 Apr.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Marla E. Lujan, PhD principal investigator
Cornell University
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Polycystic Ovary Syndrome (PCOS) and Menstrual Irregularity, run by Cornell University at 3 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 9 Feb 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Follicle number per ovary (time frame: 1 day). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT01927471, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Feb 2024.