- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06545721
Weight Cycling on Hyperandrogenemia and Insulin Resistance in Polycystic Ovary Syndrome (WHIP)
The Effect and Mechanism Of Weight Cycling on Hyperandrogenemia And Insulin Resistance in Polycystic Ovary Syndrome
This study prospectively includes PCOS patients with normal weight and overweight/obesity, closely follows up and intensively manages them, and observes the level and distribution of weight reduction achieved by patients after lifestyle intervention (high-protein diet for weight loss). Additionally, it aims to provide reference for setting weight loss targets for future PCOS patients by comparing the differences in clinical improvement among patients achieving different degrees of weight reduction (<2% [equivalent to no weight loss], 2-5%, 5-10%, ≥10%) at different time points (3 months, 6 months) following dietary intervention. Furthermore, this study will compare the differences in reproductive and metabolic marker improvements between baseline PCOS patients experiencing weight rebound, those who successfully lost weight, and those who experienced weight rebound. This will help explore the impact of weight cycling on PCOS-related manifestations. Finally, at a genetic level, the study will analyze potential mechanisms underlying different outcome indicators by comparing differences in metagenomics, transcriptomics, and metabolomics among patient groups.
Ancillary/Nested Sub-study (12-week Precision Nutrition Trial):
Within the WHIP cohort, we will conduct a nested, prospective interventional sub-study to evaluate the efficacy of an insulin-resistance-phenotype-guided precision dietary prescription versus a standard guideline-based energy-restricted diet. Eligible participants are women with PCOS and insulin resistance enrolled in the cohort. The sub-study lasts 12 weeks with assessments at baseline and week 12. Primary endpoints include change in HOMA-IR and change in the core11 metabolic risk composite. Secondary endpoints include changes in gonadotropins (FSH, LH), sex steroid hormones (e.g., estradiol, progesterone), and patient-reported symptom scores.
Study Overview
Status
Conditions
Detailed Description
This study is a single-center, prospective cohort study that enrolled PCOS patients after screening. The patients were categorized into two groups based on their BMI: a normal weight group (18.5 kg/m2 ≤ BMI < 24 kg/m2) with a sample size of 45 and an overweight/obese group (BMI ≥ 24 kg/m2) with a sample size of 380, totaling 425 cases.
For the normal weight PCOS patients, interventions included control of total energy intake, adjustment of dietary structure, exercise, and behavioral intervention to prevent weight gain over a follow-up period of three months. If weight gain occurred during the follow-up period, these patients were transferred to the overweight/obese group for intensified intervention.
The overweight/obese PCOS patients received intensive intervention in accordance with high-protein diet adaptation criteria. This involved high-protein diets combined with exercise and behavioral intervention for weight reduction. After three months of follow-up, if they achieved their weight-loss goal, they transitioned to a low-energy diet and exercise intervention program to maintain their weight. If the goal was not met after three months, they continued with the high-protein weight-loss program.
The study compared differences in improvement in indicators such as insulin resistance (IR), blood androgen levels, inflammatory factors among different degrees of weight loss (<2%, 2% ≤weight loss <5%, 5%≤weight loss<10%, ≥10%), analyzing potential mechanisms.
For individuals experiencing weight cycling, differences in IR levels before and after rebounding from body mass were compared alongside changes in androgen levels and other metabolic indicators. This aimed to explore the impact of body mass cycling on clinical indicators while analyzing potential causes.
Ancillary/Nested Sub-study (12-week Precision Nutrition Trial):
A subset of cohort participants meeting criteria for PCOS with insulin resistance will enter a 12-week dietary intervention sub-study. Participants will be allocated in a 1:1 ratio to: (1) a phenotype-guided precision dietary prescription tailored to the individual's insulin-resistance metabolic subtype; or (2) a standard low-energy diet based on current Chinese clinical guidelines for overweight/obesity medical nutrition therapy. Both groups receive standardized lifestyle counseling and follow-up. Study visits occur at baseline and week 12. This nested sub-study is designed to test whether subtype-matched dietary prescriptions yield greater improvements in insulin resistance and metabolic risk than a uniform guideline diet, while remaining integrated within the parent WHIP cohort.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Wei Chen, PhD
- Phone Number: 13911006820
- Email: txchenwei@sina.com
Study Contact Backup
- Name: Menglu Zhang, PhD
- Phone Number: 13051336015
- Email: 499527281@qq.com
Study Locations
-
-
Beijing Municipality
-
Beijing, Beijing Municipality, China, 100730
- Recruiting
- Peking Union Medical College Hospital
-
Contact:
- Wei Chen, PhD
- Phone Number: 13911006820
- Email: txchenwei@sina.com
-
Contact:
- Menglu Zhang, PhD
- Phone Number: 13051336015
- Email: 499527281@qq.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Women aged 18-45 years in the reproductive period;
- Women who have previously met the Rotterdam diagnostic criteria (at least 2 of the following 3 criteria have been confirmed, and have been diagnosed with PCOS): 1) Oligomenorrhea and/or anovulation; 2) clinical and/or biochemical evidence of hyperandrogenism; 3) ultrasound showing the presence of unilateral or bilateral polycystic ovaries;
- Inclusion of 50 women in the normal weight group: 18.5 kg/m² ≤ BMI < 24 kg/m²; Inclusion of 400 women in the overweight/obese group: BMI ≥ 24 kg/m²;
- Voluntarily participate in the intervention and sign an informed consent form.
Exclusion Criteria:
- Currently pregnant or lactating, or have had a recent (within 6 months) plan for pregnancy;
- Currently using known prescription weight loss medications (such as GLP-1RA, orlistat, topiramate, etc.);
- History of weight loss surgery;
- History of severe cardiovascular or cerebrovascular diseases; severe liver or kidney dysfunction (ALT > 3 times the upper limit of normal, or creatinine > 1.5 times the upper limit of normal); chronic or active gastrointestinal inflammatory diseases; severe systemic diseases; active malignant tumors;
- Secondary obesity: including hypothalamic or pituitary obesity, obesity secondary to glucocorticoid use, hypogonadism-induced obesity, etc.;
- Known history of serious endocrine system diseases;
- Poor compliance with planned dietary interventions (psychiatric disorders such as binge eating disorder, anorexia nervosa, severe anxiety/depression);
- Unable to follow up on time or deemed non-cooperative by the investigator.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Normal weight group
18.5 kg/m2 ≤ BMI < 24 kg/m2
|
Adjusting to a healthy diet involves consuming low GI and low-fat foods, avoiding sugary drinks, increasing dietary fiber intake, reducing saturated fat while increasing omega-3 unsaturated fat intake, and limiting trans fat consumption.
A weight loss program includes a high-protein diet, exercise, and behavioral intervention with daily total energy needs calculated based on ideal body weight (kg) x 15-20 kcal/kg/d; developing a daily meal plan with regular protein supplementation; limiting salt intake to ≤5 g/d; ensuring adequate water consumption at 2-3L/d; aiming for a dietary fiber intake of 25-30g/d; recommending micronutrient supplementation as needed; maintaining daily aerobic exercise (40 minutes at 70-80% HRmax) along with resistance training (20 minutes); establishing an early bedtime before 11pm and an early wake-up time.
|
|
Experimental: Obese/Overweight Group
BMI ≥24 kg/m²
|
Adjusting to a healthy diet involves consuming low GI and low-fat foods, avoiding sugary drinks, increasing dietary fiber intake, reducing saturated fat while increasing omega-3 unsaturated fat intake, and limiting trans fat consumption.
A weight loss program includes a high-protein diet, exercise, and behavioral intervention with daily total energy needs calculated based on ideal body weight (kg) x 15-20 kcal/kg/d; developing a daily meal plan with regular protein supplementation; limiting salt intake to ≤5 g/d; ensuring adequate water consumption at 2-3L/d; aiming for a dietary fiber intake of 25-30g/d; recommending micronutrient supplementation as needed; maintaining daily aerobic exercise (40 minutes at 70-80% HRmax) along with resistance training (20 minutes); establishing an early bedtime before 11pm and an early wake-up time.
|
|
Experimental: Precision dietary prescription (nested substudy)
Within the WHIP cohort, participants with PCOS and insulin resistance who enroll in the ancillary 12-week pragmatic intervention will receive a precision dietary prescription tailored to their baseline insulin-resistance metabolic subphenotype.
The prescription includes an individualized daily energy deficit according to the Chinese guideline for medical nutrition therapy in overweight/obesity, personalized macronutrient distribution, and food-based meal plans.
Participants receive dietitian counseling at baseline and scheduled follow-ups throughout the 12-week period, in addition to standard lifestyle advice provided in the parent cohort.
|
A 12-week precision diet program individualized to baseline insulin-resistance metabolic subphenotype, including personalized macronutrient targets, food-based meal plans, and dietitian-led counseling with regular follow-ups.
|
|
Active Comparator: Standard guideline-based low-energy diet (nested substudy control)
Within the WHIP cohort, participants with PCOS and insulin resistance who enroll in the ancillary 12-week pragmatic intervention will receive a uniform low-energy diet based on standard guideline recommendations.
The daily energy deficit is set according to the Chinese guideline for medical nutrition therapy in overweight/obesity, without tailoring to metabolic subphenotype.
Contact frequency and follow-up intensity are comparable to the precision-diet arm, and standard lifestyle advice is provided throughout the 12-week period.
|
A 12-week standardized low-energy diet based on national guideline recommendations for overweight/obesity, with the same counseling frequency as the precision-diet arm but without metabolic tailoring.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight loss rate
Time Frame: 6 month
|
Percentage of weight loss: (Weight after reduction - Baseline weight before reduction) / Baseline weight before reduction (%)
|
6 month
|
|
Levels of insulin resistance
Time Frame: 6 month
|
Measuring the level of insulin resistance in patients after the intervention.
|
6 month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Fasting insulin level(FINS)
Time Frame: 6 month
|
Measure the fasting insulin levels of patients after the intervention.
|
6 month
|
|
Fasting blood sugar(FBG)
Time Frame: 6 month
|
Measure the fasting blood glucose level of the patient after the intervention.
|
6 month
|
|
Blood levels of androgen hormones (total testosterone, free testosterone index)
Time Frame: 6 month
|
Measure the blood testosterone levels of the patients after the intervention.
|
6 month
|
|
Blood lipid levels (LDL-C, HDL-C, total cholesterol)
Time Frame: 6 month
|
Measure lipid levels in patients after the intervention.
|
6 month
|
|
Levels of inflammatory factors (CRP, IL-6, TAC, GSH)
Time Frame: 6 month
|
Detect the level of inflammatory factors in patients after intervention.
|
6 month
|
|
BMI
Time Frame: 6 month
|
Measuring the BMI of patients after the intervention.
|
6 month
|
|
Waist
Time Frame: 6 month
|
Measure the waist of the patients after the intervention.
|
6 month
|
|
waist-to-hip ratio
Time Frame: 6 month
|
Measure the waist-to-hip ratio of the patients after the intervention.
|
6 month
|
|
Body fat percentage and distribution
Time Frame: 6 month
|
Measure the Body Fat Content and Proportion in Patients after Intervention
|
6 month
|
|
Weight rebound rate
Time Frame: 6 month
|
Determine the rate of weight rebound in patients after intervention.
Weight rebound is defined as a rebound in weight (≥5kg or 5% above baseline weight) after weight loss.
|
6 month
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in insulin resistance (HOMA-IR)
Time Frame: 12 weeks
|
Change from baseline to week 12 in HOMA-IR among participants enrolled in the ancillary precision-diet substudy.
|
12 weeks
|
|
Change in core metabolic risk profile
Time Frame: 12 weeks
|
Change from baseline to week 12 in the composite Z-score of the 11 predefined metabolic indicators (BMI, waist, FINS, FPG, TG, HDL, LDL, ALT, SBP, UA, SHBG) in the ancillary substudy.
|
12 weeks
|
Collaborators and Investigators
Investigators
- Principal Investigator: Wei Chen, PhD, Peking Union Medical College Hospital
Publications and helpful links
General Publications
- Azziz R, Carmina E, Chen Z, Dunaif A, Laven JS, Legro RS, Lizneva D, Natterson-Horowtiz B, Teede HJ, Yildiz BO. Polycystic ovary syndrome. Nat Rev Dis Primers. 2016 Aug 11;2:16057. doi: 10.1038/nrdp.2016.57.
- Rotterdam ESHRE/ASRM-Sponsored PCOS consensus workshop group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod. 2004 Jan;19(1):41-7. doi: 10.1093/humrep/deh098.
- Teede HJ, Joham AE, Paul E, Moran LJ, Loxton D, Jolley D, Lombard C. Longitudinal weight gain in women identified with polycystic ovary syndrome: results of an observational study in young women. Obesity (Silver Spring). 2013 Aug;21(8):1526-32. doi: 10.1002/oby.20213. Epub 2013 Jul 2.
- Thomson RL, Buckley JD, Noakes M, Clifton PM, Norman RJ, Brinkworth GD. The effect of a hypocaloric diet with and without exercise training on body composition, cardiometabolic risk profile, and reproductive function in overweight and obese women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2008 Sep;93(9):3373-80. doi: 10.1210/jc.2008-0751. Epub 2008 Jun 26.
- Lizneva D, Suturina L, Walker W, Brakta S, Gavrilova-Jordan L, Azziz R. Criteria, prevalence, and phenotypes of polycystic ovary syndrome. Fertil Steril. 2016 Jul;106(1):6-15. doi: 10.1016/j.fertnstert.2016.05.003. Epub 2016 May 24.
- Kroeger CM, Hoddy KK, Varady KA. Impact of weight regain on metabolic disease risk: a review of human trials. J Obes. 2014;2014:614519. doi: 10.1155/2014/614519. Epub 2014 Aug 14.
- Mehrabani HH, Salehpour S, Amiri Z, Farahani SJ, Meyer BJ, Tahbaz F. Beneficial effects of a high-protein, low-glycemic-load hypocaloric diet in overweight and obese women with polycystic ovary syndrome: a randomized controlled intervention study. J Am Coll Nutr. 2012 Apr;31(2):117-25. doi: 10.1080/07315724.2012.10720017.
- Lim SS, Davies MJ, Norman RJ, Moran LJ. Overweight, obesity and central obesity in women with polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update. 2012 Nov-Dec;18(6):618-37. doi: 10.1093/humupd/dms030. Epub 2012 Jul 4.
- Goss AM, Chandler-Laney PC, Ovalle F, Goree LL, Azziz R, Desmond RA, Wright Bates G, Gower BA. Effects of a eucaloric reduced-carbohydrate diet on body composition and fat distribution in women with PCOS. Metabolism. 2014 Oct;63(10):1257-64. doi: 10.1016/j.metabol.2014.07.007. Epub 2014 Jul 18.
- Randeva HS, Tan BK, Weickert MO, Lois K, Nestler JE, Sattar N, Lehnert H. Cardiometabolic aspects of the polycystic ovary syndrome. Endocr Rev. 2012 Oct;33(5):812-41. doi: 10.1210/er.2012-1003. Epub 2012 Jul 24.
- Moran LJ, Misso ML, Wild RA, Norman RJ. Impaired glucose tolerance, type 2 diabetes and metabolic syndrome in polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update. 2010 Jul-Aug;16(4):347-63. doi: 10.1093/humupd/dmq001. Epub 2010 Feb 16.
- Barry JA, Kuczmierczyk AR, Hardiman PJ. Anxiety and depression in polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod. 2011 Sep;26(9):2442-51. doi: 10.1093/humrep/der197. Epub 2011 Jul 1.
- Cowan S, Lim S, Alycia C, Pirotta S, Thomson R, Gibson-Helm M, Blackmore R, Naderpoor N, Bennett C, Ee C, Rao V, Mousa A, Alesi S, Moran L. Lifestyle management in polycystic ovary syndrome - beyond diet and physical activity. BMC Endocr Disord. 2023 Jan 16;23(1):14. doi: 10.1186/s12902-022-01208-y.
- Stepto NK, Cassar S, Joham AE, Hutchison SK, Harrison CL, Goldstein RF, Teede HJ. Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic-hyperinsulaemic clamp. Hum Reprod. 2013 Mar;28(3):777-84. doi: 10.1093/humrep/des463. Epub 2013 Jan 12.
- Kazemi M, Hadi A, Pierson RA, Lujan ME, Zello GA, Chilibeck PD. Effects of Dietary Glycemic Index and Glycemic Load on Cardiometabolic and Reproductive Profiles in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Adv Nutr. 2021 Feb 1;12(1):161-178. doi: 10.1093/advances/nmaa092.
- Lim SS, Hutchison SK, Van Ryswyk E, Norman RJ, Teede HJ, Moran LJ. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst Rev. 2019 Mar 28;3(3):CD007506. doi: 10.1002/14651858.CD007506.pub4.
- Gokee-LaRose J, Gorin AA, Raynor HA, Laska MN, Jeffery RW, Levy RL, Wing RR. Are standard behavioral weight loss programs effective for young adults? Int J Obes (Lond). 2009 Dec;33(12):1374-80. doi: 10.1038/ijo.2009.185.
- Robinson S, Chan SP, Spacey S, Anyaoku V, Johnston DG, Franks S. Postprandial thermogenesis is reduced in polycystic ovary syndrome and is associated with increased insulin resistance. Clin Endocrinol (Oxf). 1992 Jun;36(6):537-43. doi: 10.1111/j.1365-2265.1992.tb02262.x.
- Moran LJ, Noakes M, Clifton PM, Wittert GA, Tomlinson L, Galletly C, Luscombe ND, Norman RJ. Ghrelin and measures of satiety are altered in polycystic ovary syndrome but not differentially affected by diet composition. J Clin Endocrinol Metab. 2004 Jul;89(7):3337-44. doi: 10.1210/jc.2003-031583.
- Saarni SE, Rissanen A, Sarna S, Koskenvuo M, Kaprio J. Weight cycling of athletes and subsequent weight gain in middleage. Int J Obes (Lond). 2006 Nov;30(11):1639-44. doi: 10.1038/sj.ijo.0803325. Epub 2006 Mar 28.
- Li W, Chen W. Weight cycling based on altered immune microenvironment as a result of metaflammation. Nutr Metab (Lond). 2023 Feb 22;20(1):13. doi: 10.1186/s12986-023-00731-6.
- Matsuo T, Kato Y, Murotake Y, Kim MK, Unno H, Tanaka K. An increase in high-density lipoprotein cholesterol after weight loss intervention is associated with long-term maintenance of reduced visceral abdominal fat. Int J Obes (Lond). 2010 Dec;34(12):1742-51. doi: 10.1038/ijo.2010.95. Epub 2010 Jun 1.
- El Ghoch M, Calugi S, Dalle Grave R. Weight cycling in adults with severe obesity: A longitudinal study. Nutr Diet. 2018 Jul;75(3):256-262. doi: 10.1111/1747-0080.12387. Epub 2017 Nov 8.
- Makhija N, Tayade S, Toshniwal S, Tilva H. Clinico-Metabolic Profile in Lean Versus Obese Polycystic Ovarian Syndrome Women. Cureus. 2023 Apr 19;15(4):e37809. doi: 10.7759/cureus.37809. eCollection 2023 Apr.
- Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC Med. 2010 Jun 30;8:41. doi: 10.1186/1741-7015-8-41.
- Pirotta S, Barillaro M, Brennan L, Grassi A, Jeanes YM, Joham AE, Kulkarni J, Couch LM, Lim SS, Moran LJ. Disordered Eating Behaviours and Eating Disorders in Women in Australia with and without Polycystic Ovary Syndrome: A Cross-Sectional Study. J Clin Med. 2019 Oct 14;8(10):1682. doi: 10.3390/jcm8101682.
- Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, Piltonen T, Norman RJ; International PCOS Network. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018 Sep 1;33(9):1602-1618. doi: 10.1093/humrep/dey256.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Endocrine System Diseases
- Neoplasms
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Metabolic Diseases
- Body Weight
- Body Weight Changes
- Genital Diseases, Female
- Glucose Metabolism Disorders
- Ovarian Diseases
- Adnexal Diseases
- Gonadal Disorders
- Hyperinsulinism
- Ovarian Cysts
- Cysts
- Weight Loss
- Weight Gain
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Weight Cycling
- Polycystic Ovary Syndrome
- Insulin Resistance
- Motor Activity
- Movement
- Musculoskeletal Physiological Phenomena
- Musculoskeletal and Neural Physiological Phenomena
- Psychotherapy
- Behavioral Disciplines and Activities
- Exercise
- Behavior Therapy
Other Study ID Numbers
- K5204
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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