Resveratrol in Postmenopausal Women With High Body Mass Index
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ClinicalTrials.gov Identifier: NCT01370889 |
Recruitment Status
:
Completed
First Posted
: June 10, 2011
Last Update Posted
: October 9, 2014
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Condition or disease | Intervention/treatment | Phase |
---|---|---|
Healthy, no Evidence of Disease | Drug: resveratrol Other: laboratory biomarker analysis | Phase 1 |
PRIMARY OBJECTIVES:
I. To determine the effect of pharmacological doses of resveratrol on serum estradiol levels in post-menopausal women with high body mass index (BMI).
SECONDARY OBJECTIVES:
I. Assess the effect of resveratrol on serum estrone, testosterone, and sex hormone-binding globulin (SHBP).
II. Assess the effect of resveratrol on serum levels of insulin and C-peptide. III. Assess the effect of resveratrol on adipocytokine expression and secretion as measured by serum leptin and adiponectin.
IV. Assess the effect of resveratrol on inflammatory cytokines as measured by serum C-reactive protein (CRP).
V. Assess the effect of resveratrol on oxidative stress as measured by urinary 8-isoprostaglandin F2 alpha (8-iso-PGF2 alpha) and 8-hydroxydeoxyguanosine (8OHdG).
VI. Assess the safety of resveratrol intervention as measured by reported adverse events, complete blood count with differential (CBC/diff), comprehensive metabolic panel (CMP), and lipid profile.
VII. Assess the relationship between systemic study agent exposure and biomarker modulation.
OUTLINE:
Patients receive resveratrol orally (PO) once daily (QD) for 12 weeks.
After completion of study therapy, patients are followed up for 2 weeks
Study Type : | Interventional (Clinical Trial) |
Actual Enrollment : | 46 participants |
Intervention Model: | Single Group Assignment |
Masking: | None (Open Label) |
Primary Purpose: | Basic Science |
Official Title: | Pilot Study of Resveratrol in Postmenopausal Women With High Body Mass Index |
Study Start Date : | June 2011 |
Actual Primary Completion Date : | July 2012 |
Actual Study Completion Date : | July 2012 |

Arm | Intervention/treatment |
---|---|
Experimental: Basic Science (resveratrol)
Patients receive resveratrol PO QD for 12 weeks.
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Drug: resveratrol
Given PO
Other: laboratory biomarker analysis
Correlative studies
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- Change in serum estradiol levels in postmenopausal women with high BMI [ Time Frame: From baseline to 12 weeks (post-intervention) ]A two-sided paired t-test will be performed to determine whether the change is significant at a significance level of 5%. If the data distribution indicates non-normality or skewedness in violation of the assumptions of the t-test, non-parametric tests will be used. Linear regression techniques will be used to adjust for potential confounders, e.g. age and BMI.
- Change in serum estrone [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum testosterone [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum sex hormone-binding globulin (SHBG) [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum levels of insulin [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum levels of C-peptide [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum leptin [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in serum adiponectin [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in inflammatory markers, measured by serum C-reactive protein [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in urinary 8-iso-PGF2alpha [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Change in urinary 8OHdG [ Time Frame: From baseline to 12 weeks (post-intervention) ]Similar statistical analysis procedures as described for the primary endpoint will be performed to evaluate the changes of each of the endpoints at a significance level of 5%. Analysis will not be corrected for multiple comparisons but results will be interpreted cautiously. If the data distribution indicates non-normality or skewness, non-parametric tests will be used.
- Incidence of reported adverse events [ Time Frame: Up to 12 weeks ]Descriptive statistics of the type and frequency of all adverse events will be generated, including 95% confidence intervals.
- Incidence of changes in CBC/diff, blood chemistry, and lipids [ Time Frame: Up to 12 weeks ]
- Study agent/metabolite levels [ Time Frame: Up to 12 weeks ]The Spearman correlation coefficient will be calculated to evaluate the correlation between biomarker changes and study agent/metabolite levels. Linear regression techniques will be used to adjust for potential confounders, e.g. age and BMI.

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Ages Eligible for Study: | 35 Years and older (Adult, Senior) |
Sexes Eligible for Study: | Female |
Accepts Healthy Volunteers: | Yes |
Inclusion Criteria:
- Healthy postmenopausal women with a body mass index (BMI) of 25 kg/m^2 or greater
- Eastern Cooperative Oncology Group (ECOG) performance status 0 or 1; Karnofsky 70% or above
- Leukocytes >= 3,000/uL
- Absolute neutrophil count (ANC) >= 1,500/uL
- Platelets >= 100,000/uL
- Total bilirubin =< 2.0 mg/dL
- Aspartate aminotransferase (AST)/alanine aminotransferase (ALT) =< 1.5 times upper limit of normal (ULN)
- Creatinine =< 1.0 times ULN
- Ability and willingness to limit resveratrol-containing foods to no more than one serving each per day for about 14 weeks
- Negative mammogram or negative workup of mammographic findings within prior 12 months prior to enrollment for women >= 50 years of age
- Ability to understand and the willingness to sign a written informed consent document
Exclusion Criteria:
- Have had invasive cancer(s) within the past 5 years except non-melanoma skin cancer
- Within 3 months of or concurrent usage of any other investigational agents
- History of allergic reactions attributed to resveratrol
- Unwilling or unable to refrain from taking herbal medicines and dietary supplements
- Uncontrolled intercurrent illness including, but not limited to, ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, cardiac arrhythmia, or psychiatric illness/social situations that would limit compliance with study requirements
- Within 3 months of or concurrent estrogen or progesterone replacement therapy, oral contraceptives, androgens, luteinizing hormone-releasing hormone analogs, prolactin inhibitors, or antiandrogens; vaginal estrogen is acceptable.
Within 3 months of or concurrent usage of tamoxifen, raloxifene, other selective estrogen-receptor modulators, or aromatase inhibitors
- Regular usage (more than 2 times a week) of estrogenic supplements or herbal remedies (e.g., Remifemin, black cohosh, red clover, dong quai, soy isoflavones, dehydroepiandrosterone [DHEA], flaxseed, diindolylmethane [DIM], genistein, and daidzein) within the past 3 months or concurrently; dietary consumption of phytoestrogens/isoflavones (such as soy, tofu, millet, barley, natto, tempeh, miso, soy milk, soy sauce) is acceptable as these sources are not concentrated
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Concurrent use of anti-diabetic drugs such as:
- Insulin
- Sulfonylureas (e.g., glipizide, glyburide, or glimepiride)
- Meglitinides (e.g., repaglinide or nateglinide)
- Biguanides (e.g., metformin)
- Thiazolidinediones (e.g., rosiglitazone or pioglitazone)
- Alpha-glucosidase inhibitors (e.g., acarbose or miglitol)
- Dipeptidyl peptidase-4 (DPP-4) inhibitors (e.g., sitagliptin)
- Concurrent use of warfarin or phenytoin

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01370889
United States, Arizona | |
Arizona Cancer Center - Tucson | |
Tucson, Arizona, United States, 85724-5024 | |
University of Arizona Health Sciences Center | |
Tucson, Arizona, United States, 85724 |
Principal Investigator: | Hsiao-Hui (Sherry) Chow | University of Arizona Health Sciences Center |
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: | National Cancer Institute (NCI) |
ClinicalTrials.gov Identifier: | NCT01370889 History of Changes |
Obsolete Identifiers: | NCT02022332 |
Other Study ID Numbers: |
NCI-2011-02593 NCI-2011-02593 ( Registry Identifier: CTRP (Clinical Trial Reporting Program) ) CDR0000701405 10-0653-04 ( Other Identifier: University of Arizona Health Sciences Center ) UAZ08-12-01 ( Other Identifier: DCP ) P30CA023074 ( U.S. NIH Grant/Contract ) N01CN35158 ( U.S. NIH Grant/Contract ) |
First Posted: | June 10, 2011 Key Record Dates |
Last Update Posted: | October 9, 2014 |
Last Verified: | April 2014 |
Additional relevant MeSH terms:
Resveratrol Anti-Inflammatory Agents, Non-Steroidal Analgesics, Non-Narcotic Analgesics Sensory System Agents Peripheral Nervous System Agents Physiological Effects of Drugs Anti-Inflammatory Agents Antirheumatic Agents |
Antineoplastic Agents, Phytogenic Antineoplastic Agents Antioxidants Molecular Mechanisms of Pharmacological Action Protective Agents Enzyme Inhibitors Platelet Aggregation Inhibitors Antimutagenic Agents Anticarcinogenic Agents |