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Raihanah C, Sukrasno S, Kurniati NF. Activity of isoflavone in managing polycystic ovary syndrome symptoms (Review). Biomed Rep 2024; 20:80. [PMID: 38590945 PMCID: PMC10999901 DOI: 10.3892/br.2024.1768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 01/17/2024] [Indexed: 04/10/2024] Open
Abstract
Polycystic ovary syndrome (PCOS), a hormonal and metabolic disorder manifested in women of reproductive age, is still being treated using drugs with side effects. As an alternative to these drugs, isoflavone, also identified as phytoestrogen, has anti-PCOS activity. Isoflavone can help relieve PCOS symptoms by lowering the level of testosterone, which causes hyperandrogenism, thereby normalizing the menstrual cycle and restoring normal ovarian morphology. Furthermore, isoflavone influences the improvement of the metabolic profile, which changes because of PCOS, as well as the reduction of inflammatory markers and oxidative stress. However, both significant and non-significant results have been generated on the activity of isoflavones in PCOS. The present review aims to discuss the existing literature on the effect of isoflavone on PCOS symptoms based on in vivo and clinical trial studies.
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Affiliation(s)
- Cut Raihanah
- Department of Pharmaceutical Biology, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - Sukrasno Sukrasno
- Department of Pharmaceutical Biology, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - Neng Fisheri Kurniati
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia
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Afrine S, Haque JA, Morshed MS, Banu H, Hossain A, Hasanat MA. Ovarian volume is more closely related to the different manifestations of polycystic ovary syndrome than follicle number per ovary. Clin Exp Reprod Med 2023; 50:200-205. [PMID: 37643834 PMCID: PMC10477412 DOI: 10.5653/cerm.2023.05897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/15/2023] [Accepted: 05/02/2023] [Indexed: 08/31/2023] Open
Abstract
OBJECTIVE Polycystic ovary (PCO), a diagnostic component of polycystic ovary syndrome (PCOS), requires either an ovarian volume (OV) criterion or a follicle number per ovary (FNPO) criterion. This study investigated the association of OV and FNPO criteria with various manifestations of PCOS. METHODS This cross-sectional study was conducted at a university hospital among 100 patients newly diagnosed with PCOS (according to the revised Rotterdam criteria). Fasting blood samples were collected to measure glucose, total testosterone (TT), luteinizing hormone (LH), follicle-stimulating hormone (FSH), lipid, insulin, and hemoglobin A1c levels. An oral glucose tolerance test was performed. Transabdominal or transvaginal ultrasound of the ovaries was done, depending on patients' marital status. All investigations were conducted in the follicular phase of the menstrual cycle. OV >10 mL and/or FNPO ≥12 indicated PCO. A homeostasis model assessment of insulin resistance (IR) value ≥2.6 indicated IR, and metabolic syndrome (MS) was defined according to the international harmonization criteria. RESULTS Seventy-six participants fulfilled the OV criterion, 70 fulfilled the FNPO criterion, and 89 overall had PCO. Both maximum OV and mean OV had a significant correlation with TT levels (r=0.239, p=0.017 and r=0.280, p=0.005, respectively) and the LH/FSH ratio (r=0.212, p=0.034 and r=0.200, p=0.047, respectively). Mean OV also had a significant correlation with fasting insulin levels (r=0.210, p=0.036). Multivariate binary logistic regression analysis showed that IR (odds ratio [OR], 9.429; 95% confidence interval [CI], 1.701 to 52.271; p=0.010) and MS (OR, 7.952; 95% CI, 1.821 to 34.731; p=0.006) had significant predictive associations with OV alone, even after adjustment for age and body mass index. CONCLUSION OV may be more closely related to the androgenic and metabolic characteristics of PCOS than FNPO.
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Affiliation(s)
- Shazia Afrine
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Jasmine Ara Haque
- Ultrasound Division, National Institute of Nuclear Medicine and Allied Sciences, Dhaka, Bangladesh
| | - Md Shahed Morshed
- Department of Emergency, Kurmitola General Hospital, Dhaka, Bangladesh
| | - Hurjahan Banu
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Ahmed Hossain
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Muhammad Abul Hasanat
- Department of Endocrinology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
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Vanden Brink H, Jarrett BY, Pereira N, Spandorfer SD, Hoeger KM, Lujan ME. Diagnostic Performance of Ovarian Morphology on Ultrasonography across Anovulatory Conditions-Impact of Body Mass Index. Diagnostics (Basel) 2023; 13:diagnostics13030374. [PMID: 36766481 PMCID: PMC9914229 DOI: 10.3390/diagnostics13030374] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/09/2023] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
The study objectives were to determine whether ovarian morphology can distinguish between women with regular menstrual cycles, normo-androgenic anovulation (NA-Anov), and PCOS and whether body mass index (BMI)-specific thresholds improved diagnostic potential. Women with PCOS (biochemical and/or clinical hyperandrogenism and irregular cycles; N = 66), NA-Anov (irregular cycles without clinical and/or biochemical hyperandrogenism; N = 64), or regular cycles (controls; cycles every 21-35 days in the absence of clinical or biochemical hyperandrogenism; N = 51) were evaluated. Participants underwent a reproductive history, physical exam, transvaginal ultrasound, and a fasting blood sample. Linear regression analyses were used to assess the impact of BMI on ovarian morphology across groups. The diagnostic performance of ovarian morphology for anovulatory conditions, and by BMI (lean: <25 kg/m2; overweight: ≥25 kg/m2), was tested using Receiver Operating Characteristic (ROC) curves. Follicle number per ovary (FNPO) and ovarian volume (OV), but not follicle number per cross-section (FNPS), increased across controls, NA-Anov, and PCOS. Overall, FNPO had the best diagnostic performance for PCOS versus controls (AUCROC = 0.815) and NA-Anov and controls (AUCROC = 0.704), and OV to differentiate between PCOS and NA-Anov (AUCROC = 0.698). In lean women, FNPO best differentiated between PCOS and controls (AUCROC = 0.843) and PCOS versus NA-Anov (AUCROC = 0.710). FNPS better distinguished between NA-Anov and controls (AUCROC = 0.687), although diagnostic performance was lower than when thresholds were generated using all participants. In women with overweight and obesity, OV persisted as the best diagnostic feature across all analyses (PCOS versus control, AUCROC = 0.885; PCOS versus NA-Anov, AUCROC = 0.673; NA-Anov versus controls, AUCROC = 0.754). Ovarian morphology holds diagnostic potential to distinguish between NA-Anov and PCOS, with marginal differences in diagnostic potential when participants were stratified by BMI suggesting that follicle number may provide better diagnostic performance in lean women and ovarian size in those with overweight.
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Affiliation(s)
- Heidi Vanden Brink
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
- Department of Nutrition, Texas A&M University, College Station, TX 77840, USA
| | | | - Nigel Pereira
- Center for Reproductive Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Steven D. Spandorfer
- Center for Reproductive Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Kathy M. Hoeger
- Department of Obstetrics and Gynecology, University of Rochester, Rochester, NY 14620, USA
| | - Marla E. Lujan
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
- Correspondence:
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The Implication of Mechanistic Approaches and the Role of the Microbiome in Polycystic Ovary Syndrome (PCOS): A Review. Metabolites 2023; 13:metabo13010129. [PMID: 36677054 PMCID: PMC9863528 DOI: 10.3390/metabo13010129] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
As a complex endocrine and metabolic condition, polycystic ovarian syndrome (PCOS) affects women's reproductive health. These common symptoms include hirsutism, hyperandrogenism, ovulatory dysfunction, irregular menstruation, and infertility. No one knows what causes it or how to stop it yet. Alterations in gut microbiota composition and disruptions in secondary bile acid production appear to play a causative role in developing PCOS. PCOS pathophysiology and phenotypes are tightly related to both enteric and vaginal bacteria. Patients with PCOS exhibit changed microbiome compositions and decreased microbial diversity. Intestinal microorganisms also alter PCOS patient phenotypes by upregulating or downregulating hormone release, gut-brain mediators, and metabolite synthesis. The human body's gut microbiota, also known as the "second genome," can interact with the environment to improve metabolic and immunological function. Inflammation is connected to PCOS and may be caused by dysbiosis in the gut microbiome. This review sheds light on the recently discovered connections between gut microbiota and insulin resistance (IR) and the potential mechanisms of PCOS. This study also describes metabolomic studies to obtain a clear view of PCOS and ways to tackle it.
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Mansour A, Hashemi Taheri AP, Moradi B, Mohajeri-Tehrani MR, Qorbani M, Ghorbani Pashakolaee S, Sanginabadi M, Sajjadi-Jazi SM. Ovarian volume, not follicle count, is independently associated with androgens in patients with polycystic ovary syndrome. BMC Endocr Disord 2022; 22:298. [PMID: 36456925 PMCID: PMC9714143 DOI: 10.1186/s12902-022-01224-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is diagnosed based on chronic anovulation, androgen excess (clinical and/or biochemical), and polycystic ovaries in ultrasound. The aim of the present study was to evaluate which parameters in the transvaginal ultrasound (TVUS) of ovaries could be better associated with concurrent hormonal imbalance in the women with PCOS. METHODS Using a cross-sectional design, this study focused on 61 subjects (18-40 years) with PCOS. Patients were recruited at three academic hospitals during the 2017-2019 period. PCOS was defined according to the Rotterdam criteria. The association of ovarian morphology with hormonal and metabolic feature was investigated using linear regression models, adjusted for a set of possible confounding variables including age, mensuration status and body mass index (BMI). RESULTS The mean volume of both ovaries was positively associated with the total testosterone level (β = 0.025, P value < 0.001), free androgen index (β = 0.041, P value < 0.001) and luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (β = 0.032, P value = 0.004), even after adjustments made for age, mensuration status and BMI (fully-adjusted model). In contrast, in the fully-adjusted model, antral follicle count (AFC), follicle number per ovary (FNPO), ovarian area, stromal area, and ratio of stromal area to ovarian area (S/A) were not associated with androgen levels and LH/FSH ratio. In addition, after full adjustments, ovarian volume, AFC, FNPO, ovarian area, stromal area and S/A were not associated with insulin resistance, which was estimated by the homeostasis model assessment of insulin resistance (HOMA-IR). CONCLUSION Increased ovarian volume is, thus, highly predictive of hyperandrogenemia and high LH/FSH ratio in PCOS patients.
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Affiliation(s)
- Asieh Mansour
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Behnaz Moradi
- Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Mohajeri-Tehrani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Milad Sanginabadi
- Radiology department, Shariati hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sayed Mahmoud Sajjadi-Jazi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Handelsman RG, Wertheimer S, VanHise K, Buttle RA, Clark EL, Wang ET, Azziz R, Pisarska MD, Chan JL. Ovarian volume as an independent marker for metabolic dysfunction in women with suspected androgen excess. F S Rep 2022; 3:366-371. [PMID: 36568921 PMCID: PMC9783138 DOI: 10.1016/j.xfre.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 12/27/2022] Open
Abstract
Objective To determine whether ovarian volume (OV) alone is an independent marker for metabolic dysfunction in women with suspected androgen excess. Design Retrospective cohort study. Setting Tertiary academic reproductive endocrinology clinic. Patients Women aged ≥21 years recruited/referred for symptoms related to androgen excess. Interventions Transvaginal ovarian ultrasound, physical and medical evaluation, 2-hour 75-g oral glucose tolerance test (oGTT), and blood sampling. Main Outcome Measures Prevalence of hyperandrogenism and metabolic dysfunction. Results This study included 666 women, of whom 412 (61.9%) and 254 had OVs of >10 and ≤10 mL, respectively. An OV of >10 mL was associated with a higher prevalence of hirsutism (65.1% vs. 51.5%) than an OV of ≤10 mL. Polycystic ovary syndrome by the National Institutes of Health 1990 criteria was found in 67.3% and 51.4% of women with OVs of >10 and ≤10 mL, respectively. Metabolic parameters, including body mass index, waist circumference, and 1-hour insulin levels during the oGTT (odds ratio, 1.98; 95% confidence interval, 1.18-3.31), were significantly higher in women with an OV of >10 mL than in those with an OV of ≤10 mL. An OV of ≤10 mL had a 76.3% negative predictive value for hyperinsulinemia at 1 hour. Conclusions In women with suspected androgen excess, an OV of >10 mL in at least 1 ovary is not associated with metabolic syndrome but is associated with younger age; an increased body mass index and waist circumference; a higher prevalence of hirsutism, oligoovulation, and polycystic ovary syndrome; and a higher 60-minute insulin level during the oGTT. Overall, an increased OV appears to be a good marker for hyperinsulinemia and hyperandrogenism in women suspected of having an androgen excess disorder.
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Affiliation(s)
| | | | | | - Rae A. Buttle
- Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Erica T. Wang
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Ricardo Azziz
- University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Jessica L. Chan
- Cedars-Sinai Medical Center, Los Angeles, California
- Reprint requests: Jessica L. Chan, M.D., M.S.C.E., Cedars-Sinai Medical Center, 8635 W. 3rd Street Suite 160W, Los Angeles, California 90048.
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Li L, Yu J, Zhou Z. Mean platelet volume and polycystic ovary syndrome: a systematic review and meta-analysis. J Int Med Res 2022; 50:3000605211067316. [PMID: 34986678 PMCID: PMC8753249 DOI: 10.1177/03000605211067316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE This meta-analysis evaluated the association between the mean platelet volume (MPV) and polycystic ovary syndrome (PCOS). METHODS A systematic literature search using PubMed, EMBASE, and Web of Science databases until June 2021 was conducted. Pooled standardized mean differences (SMD) and 95% confidence intervals (CI) were determined using a random effects model. RESULTS Ten studies involving 866 women with PCOS and 548 age- and body mass index-matched women without PCOS were included. The MPV was significantly increased in women with PCOS compared with non-PCOS women (SMD = 0.43, 95% CI = 0.13-0.72). Subgroup analyses showed that this trend was consistent in cross-sectional studies (SMD = 0.44, 95% CI = 0.03-0.86) and in Turkish women (SMD = 0.46, 95% CI = 0.13-0.79). Meta-regression analysis revealed a marginally positive correlation between the MPV and the homoeostasis model assessment of insulin resistance in women with PCOS. The sensitivity analysis showed that the effect estimate was robust and stable, and publication bias was not evidenced in the pooled analysis. CONCLUSIONS This meta-analysis revealed that women with PCOS have a significantly increased MPV than women without PCOS, which is probably associated with insulin resistance.INPLASY registration number: INPLASY2021100021.
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Affiliation(s)
- Li Li
- Department of Clinical Laboratory, Binhai County People’s Hospital, Binhai, Jiangsu, P. R. China
| | - Jianxiu Yu
- Department of Clinical Laboratory, Binhai County People’s Hospital, Binhai, Jiangsu, P. R. China
| | - Zhongwei Zhou
- Department of Clinical Laboratory, Yancheng Third People’s Hospital (The Affiliated Yancheng Hospital of Southeast University Medical College, The Sixth Affiliated Hospital of Nantong University, The Yancheng School of Clinical Medicine of Nanjing Medical University) Yancheng, Jiangsu, P. R. China
- Zhongwei Zhou, Department of Clinical Laboratory, Yancheng Third People’s Hospital, No. 75 Juchang Road, Tinghu, Yancheng, Jiangsu 224001, P. R. China.
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Topaloglu O, Evren B, Uzun M, Yologlu S, Guldogan E, Sahin I. Is there a Relationship between Serum IGF-1 and Thyroid Nodule, Thyroid or Ovarian Volume in Polycystic Ovarian Syndrome? ACTA ENDOCRINOLOGICA-BUCHAREST 2021; 17:138-146. [PMID: 34539923 DOI: 10.4183/aeb.2021.138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Context Studies investigating the association between serum IGF-1, and thyroid nodule, ovarian or thyroid volume in polycystic ovarian syndrome (PCOS) are limited. Objective We aimed to analyze the association between serum IGF-1 level, and ovarian or thyroid volume, or thyroid nodule in PCOS. Design The study was performed between June 2017 and August 2019 as prospective design. Subjects and Methods Adult females with new-onset PCOS were included. The patients having comorbid illness, or using medication were excluded. Basic tests, thyroid and ovarian sonography were performed. The patients were grouped according to thyroid nodule(absent/present) and ovarian volume (<10mL/≥10mL). We planned to find a positive association between IGF-1, and thyroid nodule, thyroid or ovarian volume in PCOS. Results Of total 118 patients, 11(9%) had thyroid nodule. The patients with thyroid nodule had a higher ovarian volume (p=0.006). No correlation was found between GH or IGF-1, and thyroid or ovarian volume. IGF-1 was not a predictor for thyroid nodule or higher ovarian volume. Thyroid nodule was a significant predictor for higher ovarian volume. Conclusion Our study is the first to analyze the association between IGF-1 and thyroid nodule in PCOS. We found that thyroid nodule was associated with thyroid and ovarian volume, but IGF-1 was not associated with thyroid nodule, thyroid or ovarian volume.
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Affiliation(s)
- O Topaloglu
- Kocaeli Derince Training and Research Hospital - Endocrinology, Kocaeli, Inonu University School of Medicine
| | | | - M Uzun
- University of Health Sciences, Izmir Suat Seren Chest Diseases and Surgery Training and Research Hospital - Intensive Care Unit, Izmir, Turkey
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Le NSV, Le MT, Nguyen ND, Tran NQT, Nguyen QHV, Cao TN. A Cross-Sectional Study on Potential Ovarian Volume and Related Factors in Women with Polycystic Ovary Syndrome from Infertile Couples. Int J Womens Health 2021; 13:793-801. [PMID: 34512036 PMCID: PMC8412837 DOI: 10.2147/ijwh.s329082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/15/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose This study was designed to explore the value of ovarian volume (OV) measured by transvaginal ultrasound and its relationship with anthropometry and serum hormonal levels in a polycystic ovary syndrome (PCOS) population. Patients and Methods A total of 119 women with PCOS from infertile couples were recruited in this cross-sectional study. On days 2-4 of the menstrual cycle, transvaginal ultrasound examinations were performed, and hormonal profiles were measured. PCOS diagnosis was based on the Rotterdam 2003 criteria and classified into four phenotype groups. The PCOS group (study group) and the non-PCOS group (control group) were compared. Results The mean age of the participants was 32.66±4.10 years compared to 33.99±4.78 years in 273 cases (69.6%) without PCOS. The mean OV was statistically larger in the PCOS group than in the non-PCOS group (7.65±3.23 mL vs 6.08±3.67 mL, p < 0.001) and positively correlated with serum anti-Mullerian (AMH) and luteinizing hormone (LH) levels (r=0.30; p < 0.001 and r=0.23; p < 0.001, respectively), and weakly and inversely correlated with age (-0.182, p < 0.001). The area under the receiver operating characteristic (ROC) curve of OV in the diagnosis of PCOS was 0.613 (0.557-0.670, 95% CI). Conclusion The enlarged OV is remarkable in women with PCOS and is related to AMH and LH concentrations. Although the diagnostic potential of PCOS is substantially low, OV alone may contribute to predicting the severity of PCOS and better performance for the diagnosis of PCOS phenotypes.
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Affiliation(s)
- Nguyen Sa Viet Le
- Department of Assisted Reproduction, Hue Central Hospital, Hue, Vietnam.,Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Minh Tam Le
- Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.,Center for Reproductive Endocrinology and Infertility, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Nguyen Dac Nguyen
- Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.,Center for Reproductive Endocrinology and Infertility, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Nhu Quynh Thi Tran
- Center for Reproductive Endocrinology and Infertility, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Quoc Huy Vu Nguyen
- Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - Thanh Ngoc Cao
- Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.,Center for Reproductive Endocrinology and Infertility, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
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Does body mass index have an effect on the prevalence of various symptoms of polycystic ovary syndrome and their associated risk factors? ANTHROPOLOGICAL REVIEW 2021. [DOI: 10.2478/anre-2021-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Abstract
The present cross-sectional study is an attempt to understand the effect of body mass index (BMI) on the prevalence of various symptoms of polycystic ovary syndrome (PCOS) and to evaluate its associated risk factors.
A total of 250 PCOS women diagnosed by Rotterdam Criteria (2003), age ranging from 18–45 years, attending OPD of Gynaecology and Obstetrics of PGIMER, Chandigarh, India were enrolled in the study. All the participants were divided in three groups according to their body mass index (BMI).
The polycystic ovaries (83.2%) were the most frequently occurring symptoms of PCOS followed by hirsutism (74.4%), oligomenorrhea (60%), seborrhea (45.2%) and acne (40%). Category wise frequency distribution showed higher prevalence of symptoms among women in overweight/obese category, which were further supported by correspondence analysis. Results of multivariate analysis revealed that marital status, type of diet, socio-economic status and physical activity level were potential risk factors contributing to severe manifestations of PCOS symptoms.
Obesity denoted as an important risk factor can exaggerate many symptoms of PCOS and also be a causative factor for menstrual disturbance.
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Abdel Khalek Abdel Razek A, Abou Elatta H. Differentiation Between Phenotypes of Polycystic Ovarian Syndrome With Sonography. JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY 2021. [DOI: 10.1177/8756479321996676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives: To differentiate between the classic (A/B) from the nonclassic (C/D) phenotypes of the polycystic ovarian syndrome (PCOS) with sonography. Materials & Methods: Retrospective analysis was performed upon 72 female patients with PCOS. All patients underwent transvaginal sonography. The patients were classified into classic and nonclassic phenotypes of PCOS. Image analysis was performed for the ovarian volume, follicle counts, follicle size, and endometrial plate thickness. Results: There were significant differences in the ovarian volume ( P = .001), follicle counts ( P = .001), follicle size ( P = .001), and endometrial plate thickness ( P = .001) between classic and nonclassic phenotypes of PCOS. The threshold value for ovarian volume, follicle count, follicle size, and endometrial plate thickness used to differentiate classic from nonclassic phenotypes were 12.5, 10.5, 5.25, and 5.75, respectively, with an area under the curve of 0.79, 0.82, 0.83, 0.77 and an accuracy of 75%, 73.6%, 79.2%, and 68.1%, respectively. The serum testosterone level and the body mass index were significantly higher in patients with classic than nonclassic phenotypes of PCOS ( P = .001, .04), respectively. Conclusion: Sonography findings can differentiate classic from nonclassic phenotypes of PCOS.
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Affiliation(s)
| | - Heba Abou Elatta
- Department of Diagnostic Radiology, Student Hospital, Mansoura Faculty of Medicine, Mansoura, Egypt
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12
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Zeber-Lubecka N, Hennig EE. Genetic Susceptibility to Joint Occurrence of Polycystic Ovary Syndrome and Hashimoto's Thyroiditis: How Far Is Our Understanding? Front Immunol 2021; 12:606620. [PMID: 33746952 PMCID: PMC7968419 DOI: 10.3389/fimmu.2021.606620] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 01/07/2021] [Indexed: 12/15/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) and Hashimoto’s thyroiditis (HT) are endocrine disorders that commonly occur among young women. A higher prevalence of HT in women with PCOS, relative to healthy individuals, is observed consistently. Combined occurrence of both diseases is associated with a higher risk of severe metabolic and reproductive complications. Genetic factors strongly impact the pathogenesis of both PCOS and HT and several susceptibility loci associated with a higher risk of both disorders have been identified. Furthermore, some candidate gene polymorphisms are thought to be functionally relevant; however, few genetic variants are proposed to be causally associated with the incidence of both disorders together.
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Affiliation(s)
- Natalia Zeber-Lubecka
- Department of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland
| | - Ewa E Hennig
- Department of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland.,Department of Genetics, Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
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A comparison of two- and three-dimensional ultrasonographic methods for evaluation of ovarian follicle counts and classification of polycystic ovarian morphology. Fertil Steril 2021; 115:761-770. [PMID: 33618897 DOI: 10.1016/j.fertnstert.2020.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/02/2020] [Accepted: 09/04/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To determine the level of agreement across assessments of follicle number per ovary (FNPO) and classifying of polycystic ovarian morphology (PCOM; FNPO ≥25) with the use of various real-time (RT) and off-line two-dimensional (2D) and three-dimensional (3D) ultrasonographic methods. DESIGN Method comparison study. SETTING University-based clinical research unit. PATIENT(S) Sixteen women with and without PCOM. INTERVENTION Thirty-two ovaries were analyzed with the use of eight ultrasonographic methods: 2D-Grid (reference method), 2D-RT, 2D-RT with Grid, multiplanar view (MPV), MPV-RT, tomographic ultrasound imaging (TUI), TUI-RT, and semiautomated volume calculation (SonoAVC). MAIN OUTCOME MEASURE(S) FNPO, PCOM status, and time to obtain FNPO. Clinical feasibility, defined as the time taken to obtain FNPO, also was evaluated. RESULT(S) 2D-RT overestimated FNPO versus 2D-Grid (3 ± 9 follicles) owing to overcounting in non-PCOM ovaries (6 ± 6 follicles). However, systematic bias was not detected when a grid overlay was incorporated (2D-RT with Grid). SonoAVC underestimated FNPO (-3 ± 5 follicles), particularly in PCOM ovaries (-4.1 ± 5.0 follicles). No bias in FNPO was detected between MPV, TUI, or TUI-RT versus 2D-Grid. 2D-RT significantly misclassified ovaries as PCOM. All methods except MPV took less time to complete FNPO assessments compared with 2D-Grid. CONCLUSION(S) Variability in FNPO across ultrasonographic methods limits their interchangeable use, particularly when a precise metric is needed. 2D-RT may be problematic owing to its propensity to misclassify PCOM. 2D-RT with Grid and MPV-RT could represent clinically feasible alternatives to obtain FNPO and classify PCOM. Efforts to reduce variation in FNPO will clarify the relevance of PCOM in women's health.
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Vanden Brink H, Pea J, Lujan ME. Ultrasonographic features of ovarian morphology capture nutritional and metabolic influences on the reproductive axis: implications for biomarker development in ovulatory disorders. Curr Opin Biotechnol 2020; 70:42-47. [PMID: 33248350 DOI: 10.1016/j.copbio.2020.10.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/18/2020] [Accepted: 10/19/2020] [Indexed: 12/25/2022]
Abstract
Ultrasonographic imaging of ovarian morphology is used widely to inform reproductive health status in women. Metabolic disturbances induced by a negative energy balance (e.g. undernutrition) or positive energy balance (e.g. overnutrition, obesity) are known to drive or exacerbate reproductive dysfunction. Whether the utility of ultrasonographic metrics of ovarian morphology could be extended as biomarkers that detect and monitor the integration of metabolic and reproductive dysfunction is an emerging research area, and recent evidence is discussed. We note that unique variations in ovarian morphology emerge across the adiposity spectrum and highlight the potential for reproductive and metabolic 'tipping points' upon which such morphological variations may be detected on ultrasonography.
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Affiliation(s)
| | - Jeffrey Pea
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Marla E Lujan
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
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Sipahi M, Tokgöz VY, Keskin Ö, Atasever M, Menteşe A, Demir S. Is ovarian volume a good predictor to determine metabolic syndrome development in polycystic ovary patients. J OBSTET GYNAECOL 2019; 39:372-376. [DOI: 10.1080/01443615.2018.1522530] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Mehmet Sipahi
- Department of Obstetrics and Gynecology, Faculty of Medicine, Giresun University, Giresun, Turkey
| | - Vehbi Yavuz Tokgöz
- Department of Obstetrics and Gynecology, Faculty of Medicine, Giresun University, Giresun, Turkey
| | - Özlem Keskin
- Department of Cardiovascular Surgery, Faculty of Medicine, Giresun University, Giresun, Turkey
| | - Melahat Atasever
- Department of Obstetrics and Gynecology, Faculty of Medicine, Giresun University, Giresun, Turkey
| | - Ahmet Menteşe
- Department of Medical Biochemistry, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Selim Demir
- Department of Medical Biochemistry, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
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Armeni E, Tsitoura A, Aravantinos L, Vakas P, Augoulea A, Rizos D, Antoniou A, Alexandrou A, Deligeoroglou E, Lambrinoudaki I. Ovarian volume is associated with adiposity measures and bone mineral density in postmenopausal women. JOURNAL OF MUSCULOSKELETAL & NEURONAL INTERACTIONS 2018; 18:501-508. [PMID: 30511954 PMCID: PMC6313034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION The present study aimed to assess the association between ovarian volume and demographic and anthropometric parameters, as well as sex hormones and bone mineral density (BMD) in postmenopausal women. METHODS 161 healthy postmenopausal women participated in this cross-sectional study. Fasting venous blood samples were obtained for biochemical/hormonal assessment. Anthropometric parameters included body mass index (BMI) and waist-to-hip ratio (WHR). Ultrasonography was used to estimate the average ovarian volume for each participant. BMD was measured in the femoral neck (FN) and the lumbar spine (LS) using DXA. RESULTS Mean ovarian volume increased linearly with increasing quartiles of BMI (Q1:0.985±0.25, Q2: 1.11±0.29, Q3: 1.07±0.28, Q4: 1.19±0.38, p-value for linear trend 0.013). Ovarian volume correlated positively with BMI (r=0.128, p-value=0.038), FN BMD (r=0.233, p-value=0.003), FN T-score (r=0.223, p-value=0.004) and FN Z-score (r=0.171, p-value=0.027). Multivariate analysis showed that ovarian volume was predicted by WHR (b-coefficient=0.157, p-value=0.047) and SHBG (b-coefficient= -0.160, p-value=0.042), independently of age and BMI. Finally, FN BMD was predicted by ovarian volume, independently of age, menopausal age and BMI. CONCLUSION Ovarian volume was positively and independently associated with adiposity indexes and femoral BMD in postmenopausal women. Lower SHBG levels were associated with higher ovarian volume. Insulin resistance may mediate these results. The significance of these findings should be assessed in larger prospective studies.
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Affiliation(s)
- Eleni Armeni
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Tsitoura
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Leon Aravantinos
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Vakas
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Areti Augoulea
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Demetrios Rizos
- Hormonal Laboratory, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Aris Antoniou
- Department of Radiology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Andreas Alexandrou
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Efthymios Deligeoroglou
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Irene Lambrinoudaki
- 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece,Corresponding author: Associate Professor Irene Lambrinoudaki, 27 Themistokleous street, Dionysos, GR-14578, Athens, Greece E-mail:
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