Research Article
BibTex RIS Cite

Cardiovascular and Metabolic Risk Profiles Across Different Phenotypes of Polycystic Ovary Syndrome

Year 2025, Volume: 15 Issue: 6, 307 - 314, 30.11.2025
https://doi.org/10.16899/jcm.1794476

Abstract

Aim: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder affecting 5–10% of women of reproductive age and is increasingly recognized as a female-specific cardiometabolic condition. Although metabolic risk factors such as insulin resistance, dyslipidemia, and hypertension are well established in PCOS, their distribution across distinct phenotypes remains controversial.
Material and Methods: In this retrospective study, 240 women diagnosed with PCOS based on the 2003 Rotterdam criteria and 116 healthy controls aged 18–42 years were evaluated. Patients with PCOS were categorized into four phenotypes: (i) hyperandrogenism + oligo/anovulation + polycystic ovaries (HA+OA+PCO), (ii) hyperandrogenism + oligo/anovulation (HA+OA), (iii) hyperandrogenism + polycystic ovaries (HA+PCO), and (iv) polycystic ovaries + oligo/anovulation (PCO+OA). Anthropometric measurements, hormonal profiles, lipid panels, glucose-insulin parameters, and HOMA-IR indices were compared between groups.
Results: Compared with controls, women with PCOS had significantly higher triglycerides, fasting insulin, HOMA-IR, total testosterone, DHEAS, and LH/FSH ratio, while HDL cholesterol was lower (all p<0.05). Waist-to-hip ratio was elevated in the PCOS group despite similar BMI. Mean systolic BP was comparable, whereas diastolic BP was slightly lower in PCOS; both SBP and DBP varied significantly across phenotypes. Lipid and hormone profiles did not differ among subgroups. Although glucose and overall HbA1c were similar between PCOS and controls, HbA1c was significantly higher in the PCO+OA subgroup compared with HA+OA.
Conclusion: PCOS is associated with adverse cardiometabolic risk factors independent of phenotype. These findings underscore the need for early cardiometabolic screening in all women with PCOS, while larger multicenter studies are warranted to delineate subtle inter-phenotypic variations.

Ethical Statement

This retrospective study was conducted at the Department of Obstetrics and Gynecology, Namık Kemal University Faculty of Medicine, between January 2010 and October 2013.

References

  • 1- Deswal R, Narwal V, Dang A, Pundir CS. The prevalence of polycystic ovary syndrome: a brief systematic review. J Hum Reprod Sci. 2020;13(4):261-71.
  • 2- Melson E, Davitadze M, Malhotra K, Mousa A, Teede H, Kempegowda P, et al. A systematic review of models of care for polycystic ovary syndrome highlights the gap in the literature, especially in developing countries. Front Endocrinol (Lausanne). 2023;14:1217468.
  • 3- Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018;33(9):1602-18.
  • 4- Carmina E, Nasrallah MP, Guastella E, Lobo RA. Characterization of metabolic changes in the phenotypes of women with polycystic ovary syndrome in a large Mediterranean population from Sicily. Clin Endocrinol (Oxf). 2019;91(4):553-60.
  • 5- Baptiste CG, Battista MC, Trottier A, Baillargeon JP. Insulin and hyperandrogenism in women with polycystic ovary syndrome. J Steroid Biochem Mol Biol. 2010;122(1-3):42-52.
  • 6- Luque-Ramírez M, Escobar-Morreale HF. Polycystic ovary syndrome as a paradigm for prehypertension, prediabetes, and preobesity. Curr Hypertens Rep. 2014;16(12):500.
  • 7- Moran L, Teede H. Metabolic features of the reproductive phenotypes of polycystic ovary syndrome. Hum Reprod Update. 2009;15(4):477-88.
  • 8- Shroff R, Syrop CH, Davis W, Van Voorhis BJ, Dokras A. Risk of metabolic complications in the new PCOS phenotypes based on the Rotterdam criteria. Fertil Steril. 2007;88(5):1389-95.
  • 9- Guastella E, Longo RA, Carmina E. Clinical and endocrine characteristics of the main polycystic ovary syndrome phenotypes. Fertil Steril. 2010;94(6):2197-201.
  • 10- Wiltgen D, Spritzer PM. Variation in metabolic and cardiovascular risk in women with different polycystic ovary syndrome phenotypes. Fertil Steril. 2010;94(6):2493-6.
  • 11- Matthews D.R. et al. (1985). Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 28(7): 412–419.
  • 12- Radikova Z. et al. (2006). Insulin sensitivity indices: a proposal of cut-off points for simple identification of insulin-resistant subjects. Exp Clin Endocrinol Diabetes, 114(5): 249–256.
  • 13- Barrea L, Frias-Toral E, Verde L, Ceriani F, Cucalón G, Garcia-Velasquez E, et al. PCOS and nutritional approaches: differences between lean and obese phenotype. Metab Open. 2021;12:100123.
  • 14- Tosi F, Di Sarra D, Kaufman JM, Bonin C, Moretta R, Bonora E, et al. Total body fat and central fat mass independently predict insulin resistance but not hyperandrogenemia in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2015;100(2):661-9.
  • 15- Jurczewska J, Ostrowska J, Chełchowska M, Panczyk M, Rudnicka E, Kucharski M, et al. Abdominal obesity in women with polycystic ovary syndrome and its relationship with diet, physical activity and insulin resistance: a pilot study. Nutrients. 2023;15(16):3652.
  • 16- Dadachanji R, Patil A, Joshi B, Mukherjee S. Elucidating the impact of obesity on hormonal and metabolic perturbations in polycystic ovary syndrome phenotypes in Indian women. PLoS One. 2021;16(2):e0246862.
  • 17- Akkus C, Oner O, Kilic AO, Duran C. Visceral adiposity index (VAI) levels and metabolic risk across phenotypes of polycystic ovary syndrome (PCOS). Medicina. 2025;61(9):1673.
  • 18- Kim JJ, Choi YM. Dyslipidemia in women with polycystic ovary syndrome. Obstet Gynecol Sci. 2013;56(3):137-42.
  • 19- Wild RA, Rizzo M, Clifton S, Carmina E. Lipid levels in polycystic ovary syndrome: systematic review and meta-analysis. Fertil Steril. 2011;95(3):1073-9.
  • 20- Spritzer PM, Ramos RB, Marchesan LB, de Oliveira M, Carmina E. Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis. Diabetol Metab Syndr. 2021;13(1):18.
  • 21- Legro RS, Kunselman AR, Dunaif A. Prevalence and predictors of dyslipidemia in women with polycystic ovary syndrome. Am J Med. 2001;111(8):607-13.
  • 22- Anagnostis P, Tarlatzis BC, Kauffman RP. Polycystic ovarian syndrome (PCOS): long-term metabolic consequences. Metabolism. 2018;86:33-43.
  • 23- Chen MJ, Yang WS, Yang JH, Chen CL, Ho HN, Yang YS. Relationship between androgen levels and blood pressure in young women with polycystic ovary syndrome. Hypertension. 2007;49(6):1442-7.
  • 24- Tuorila K, Ollila MM, Hurskainen E, Tapanainen J, Franks S, Piltonen T, et al. Association of hyperandrogenaemia with hypertension and cardiovascular events in pre-menopausal women: a prospective population-based cohort study. Eur J Endocrinol. 2024;191(4):433-43.
  • 25- Amiri M, Ramezani Tehrani F, Behboudi-Gandevani S, Bidhendi-Yarandi R, Carmina E. Risk of hypertension in women with polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression. Reprod Biol Endocrinol. 2020;18(1):23.
  • 26- Geraci G, Riccio C, Oliva F, Gabrielli D, Colivicchi F, Grimaldi M, et al. Women with PCOS have heightened risk of cardiometabolic and cardiovascular diseases. Statement from Expert Group On Inositol in basic and clinical research and PCOS (EGOI-PCOS) and Italian Association of Hospital Cardiologist (ANMCO). Front Cardiovasc Med. 2025;12:1520490.
  • 27- Azziz R, Sanchez LA, Knochenhauer ES, Moran C, Lazenby J, Stephens KC, et al. Androgen excess in women: experience with over 1000 consecutive patients. J Clin Endocrinol Metab. 2004;89(2):453-62.
  • 28- Livadas S, Pappas C, Karachalios A, Marinakis E, Tolia N, Drakou M, et al. Prevalence and impact of hyperandrogenemia in 1,218 women with polycystic ovary syndrome. Endocrine. 2014;47(2):631-8.
  • 29- Rosenfield RL, Ehrmann DA. The pathogenesis of polycystic ovary syndrome (PCOS): the hypothesis of PCOS as functional ovarian hyperandrogenism revisited. Endocr Rev. 2016;37(5):467-520.
  • 30- Su P, Chen C, Sun Y. Physiopathology of polycystic ovary syndrome in endocrinology, metabolism and inflammation. J Ovarian Res. 2025;18(1):34.
  • 31- Taylor AE, McCourt B, Martin KA, Anderson EJ, Adams JM, Schoenfeld D, et al. Determinants of abnormal gonadotropin secretion in clinically defined women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1997;82(7):2248-56.
  • 32- Pratama G, Wiweko B, Asmarinah, Widyahening IS, Andraini T, Bayuaji H, et al. Mechanism of elevated LH/FSH ratio in lean PCOS revisited: a path analysis. Sci Rep. 2024;14(1):8229.
  • 33- Mansour A, Noori M, Hakemi MS, Haghgooyan Z, Mohajeri-Tehrani MR, Mirahmad M, et al. Hyperandrogenism and anthropometric parameters in women with polycystic ovary syndrome. BMC Endocr Disord. 2024;24(1):201.
  • 34- Carmina E, Longo RA. Increased prevalence of elevated DHEAS in PCOS women with non-classic (B or C) phenotypes: a retrospective analysis in patients aged 20 to 29 years. Cells. 2022;11(20):3255.
  • 35- Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev. 1997;18(6):774-800.
  • 36- Diamanti-Kandarakis E, Dunaif A. Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr Rev. 2012;33(6):981-1030.
  • 37- Amisi CA. Markers of insulin resistance in polycystic ovary syndrome women: an update. World J Diabetes. 2022;13(3):129-38.
  • 38- Zhao H, Zhang J, Cheng X, Nie X, He B. Insulin resistance in polycystic ovary syndrome across various tissues: an updated review of pathogenesis, evaluation, and treatment. J Ovarian Res. 2023;16(1):9.
  • 39- Wen X, Wang L, Bai E. Metabolic characteristics of different phenotypes in reproductive-aged women with polycystic ovary syndrome. Front Endocrinol (Lausanne). 2024;15:1370578.

Polikistik Over Sendromu Fenotipleri Arasında Kardiyovasküler ve Metabolik Risk Profillerinin Karşılaştırılması

Year 2025, Volume: 15 Issue: 6, 307 - 314, 30.11.2025
https://doi.org/10.16899/jcm.1794476

Abstract

Amaç: Polikistik over sendromu (PCOS), üreme çağındaki kadınların %5–10’unu etkileyen heterojen bir endokrin bozukluktur ve giderek kadınlara özgü bir kardiyometabolik durum olarak tanınmaktadır. İnsülin direnci, dislipidemi ve hipertansiyon gibi metabolik risk faktörleri PCOS’ta iyi tanımlanmış olsa da, bunların farklı fenotipler arasındaki dağılımı tartışmalıdır.
Gereç ve Yöntem: Bu retrospektif çalışmada, 2003 Rotterdam kriterlerine göre PCOS tanısı almış 240 kadın ve 18–42 yaş aralığında 116 sağlıklı kontrol değerlendirildi. PCOS’lu hastalar dört fenotipe ayrıldı: (i) hiperandrojenizm + oligo/anovulasyon + polikistik overler (HA+OA+PCO), (ii) hiperandrojenizm + oligo/anovulasyon (HA+OA), (iii) hiperandrojenizm + polikistik overler (HA+PCO), (iv) polikistik overler + oligo/anovulasyon (PCO+OA). Gruplar arasında antropometrik ölçümler, hormonal profiller, lipid panelleri, glukoz-insülin parametreleri ve HOMA-IR indeksleri karşılaştırıldı.
Bulgular: Kontrollerle karşılaştırıldığında, PCOS’lu kadınlarda trigliserid, açlık insülini, HOMA-IR, total testosteron, DHEAS ve LH/FSH oranı anlamlı derecede yüksek; HDL kolesterol ise daha düşüktü (tümü p<0,05). VKİ benzer olmasına rağmen bel/kalça oranı PCOS grubunda daha yüksekti. Ortalama sistolik kan basıncı benzerken, diyastolik kan basıncı PCOS’ta biraz daha düşüktü; hem SBP hem de DBP fenotipler arasında anlamlı farklılık gösterdi. Lipid ve hormon profilleri alt gruplar arasında farklılık göstermedi. Glukoz ve HbA1c genel olarak PCOS ve kontroller arasında benzer olsa da, HbA1c PCO+OA alt grubunda HA+OA’ya göre anlamlı derecede yüksekti.
Sonuç: PCOS, fenotipten bağımsız olarak olumsuz kardiyometabolik risk faktörleri ile ilişkilidir. Bu bulgular, tüm PCOS’lu kadınlarda erken kardiyometabolik taramanın önemini vurgulamaktadır. İnter-fenotipik ince farklılıkları ortaya koymak için daha geniş çok merkezli çalışmalara ihtiyaç vardır.

Ethical Statement

This retrospective study was conducted at the Department of Obstetrics and Gynecology, Namık Kemal University Faculty of Medicine, between January 2010 and October 2013.

References

  • 1- Deswal R, Narwal V, Dang A, Pundir CS. The prevalence of polycystic ovary syndrome: a brief systematic review. J Hum Reprod Sci. 2020;13(4):261-71.
  • 2- Melson E, Davitadze M, Malhotra K, Mousa A, Teede H, Kempegowda P, et al. A systematic review of models of care for polycystic ovary syndrome highlights the gap in the literature, especially in developing countries. Front Endocrinol (Lausanne). 2023;14:1217468.
  • 3- Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018;33(9):1602-18.
  • 4- Carmina E, Nasrallah MP, Guastella E, Lobo RA. Characterization of metabolic changes in the phenotypes of women with polycystic ovary syndrome in a large Mediterranean population from Sicily. Clin Endocrinol (Oxf). 2019;91(4):553-60.
  • 5- Baptiste CG, Battista MC, Trottier A, Baillargeon JP. Insulin and hyperandrogenism in women with polycystic ovary syndrome. J Steroid Biochem Mol Biol. 2010;122(1-3):42-52.
  • 6- Luque-Ramírez M, Escobar-Morreale HF. Polycystic ovary syndrome as a paradigm for prehypertension, prediabetes, and preobesity. Curr Hypertens Rep. 2014;16(12):500.
  • 7- Moran L, Teede H. Metabolic features of the reproductive phenotypes of polycystic ovary syndrome. Hum Reprod Update. 2009;15(4):477-88.
  • 8- Shroff R, Syrop CH, Davis W, Van Voorhis BJ, Dokras A. Risk of metabolic complications in the new PCOS phenotypes based on the Rotterdam criteria. Fertil Steril. 2007;88(5):1389-95.
  • 9- Guastella E, Longo RA, Carmina E. Clinical and endocrine characteristics of the main polycystic ovary syndrome phenotypes. Fertil Steril. 2010;94(6):2197-201.
  • 10- Wiltgen D, Spritzer PM. Variation in metabolic and cardiovascular risk in women with different polycystic ovary syndrome phenotypes. Fertil Steril. 2010;94(6):2493-6.
  • 11- Matthews D.R. et al. (1985). Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 28(7): 412–419.
  • 12- Radikova Z. et al. (2006). Insulin sensitivity indices: a proposal of cut-off points for simple identification of insulin-resistant subjects. Exp Clin Endocrinol Diabetes, 114(5): 249–256.
  • 13- Barrea L, Frias-Toral E, Verde L, Ceriani F, Cucalón G, Garcia-Velasquez E, et al. PCOS and nutritional approaches: differences between lean and obese phenotype. Metab Open. 2021;12:100123.
  • 14- Tosi F, Di Sarra D, Kaufman JM, Bonin C, Moretta R, Bonora E, et al. Total body fat and central fat mass independently predict insulin resistance but not hyperandrogenemia in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2015;100(2):661-9.
  • 15- Jurczewska J, Ostrowska J, Chełchowska M, Panczyk M, Rudnicka E, Kucharski M, et al. Abdominal obesity in women with polycystic ovary syndrome and its relationship with diet, physical activity and insulin resistance: a pilot study. Nutrients. 2023;15(16):3652.
  • 16- Dadachanji R, Patil A, Joshi B, Mukherjee S. Elucidating the impact of obesity on hormonal and metabolic perturbations in polycystic ovary syndrome phenotypes in Indian women. PLoS One. 2021;16(2):e0246862.
  • 17- Akkus C, Oner O, Kilic AO, Duran C. Visceral adiposity index (VAI) levels and metabolic risk across phenotypes of polycystic ovary syndrome (PCOS). Medicina. 2025;61(9):1673.
  • 18- Kim JJ, Choi YM. Dyslipidemia in women with polycystic ovary syndrome. Obstet Gynecol Sci. 2013;56(3):137-42.
  • 19- Wild RA, Rizzo M, Clifton S, Carmina E. Lipid levels in polycystic ovary syndrome: systematic review and meta-analysis. Fertil Steril. 2011;95(3):1073-9.
  • 20- Spritzer PM, Ramos RB, Marchesan LB, de Oliveira M, Carmina E. Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis. Diabetol Metab Syndr. 2021;13(1):18.
  • 21- Legro RS, Kunselman AR, Dunaif A. Prevalence and predictors of dyslipidemia in women with polycystic ovary syndrome. Am J Med. 2001;111(8):607-13.
  • 22- Anagnostis P, Tarlatzis BC, Kauffman RP. Polycystic ovarian syndrome (PCOS): long-term metabolic consequences. Metabolism. 2018;86:33-43.
  • 23- Chen MJ, Yang WS, Yang JH, Chen CL, Ho HN, Yang YS. Relationship between androgen levels and blood pressure in young women with polycystic ovary syndrome. Hypertension. 2007;49(6):1442-7.
  • 24- Tuorila K, Ollila MM, Hurskainen E, Tapanainen J, Franks S, Piltonen T, et al. Association of hyperandrogenaemia with hypertension and cardiovascular events in pre-menopausal women: a prospective population-based cohort study. Eur J Endocrinol. 2024;191(4):433-43.
  • 25- Amiri M, Ramezani Tehrani F, Behboudi-Gandevani S, Bidhendi-Yarandi R, Carmina E. Risk of hypertension in women with polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression. Reprod Biol Endocrinol. 2020;18(1):23.
  • 26- Geraci G, Riccio C, Oliva F, Gabrielli D, Colivicchi F, Grimaldi M, et al. Women with PCOS have heightened risk of cardiometabolic and cardiovascular diseases. Statement from Expert Group On Inositol in basic and clinical research and PCOS (EGOI-PCOS) and Italian Association of Hospital Cardiologist (ANMCO). Front Cardiovasc Med. 2025;12:1520490.
  • 27- Azziz R, Sanchez LA, Knochenhauer ES, Moran C, Lazenby J, Stephens KC, et al. Androgen excess in women: experience with over 1000 consecutive patients. J Clin Endocrinol Metab. 2004;89(2):453-62.
  • 28- Livadas S, Pappas C, Karachalios A, Marinakis E, Tolia N, Drakou M, et al. Prevalence and impact of hyperandrogenemia in 1,218 women with polycystic ovary syndrome. Endocrine. 2014;47(2):631-8.
  • 29- Rosenfield RL, Ehrmann DA. The pathogenesis of polycystic ovary syndrome (PCOS): the hypothesis of PCOS as functional ovarian hyperandrogenism revisited. Endocr Rev. 2016;37(5):467-520.
  • 30- Su P, Chen C, Sun Y. Physiopathology of polycystic ovary syndrome in endocrinology, metabolism and inflammation. J Ovarian Res. 2025;18(1):34.
  • 31- Taylor AE, McCourt B, Martin KA, Anderson EJ, Adams JM, Schoenfeld D, et al. Determinants of abnormal gonadotropin secretion in clinically defined women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1997;82(7):2248-56.
  • 32- Pratama G, Wiweko B, Asmarinah, Widyahening IS, Andraini T, Bayuaji H, et al. Mechanism of elevated LH/FSH ratio in lean PCOS revisited: a path analysis. Sci Rep. 2024;14(1):8229.
  • 33- Mansour A, Noori M, Hakemi MS, Haghgooyan Z, Mohajeri-Tehrani MR, Mirahmad M, et al. Hyperandrogenism and anthropometric parameters in women with polycystic ovary syndrome. BMC Endocr Disord. 2024;24(1):201.
  • 34- Carmina E, Longo RA. Increased prevalence of elevated DHEAS in PCOS women with non-classic (B or C) phenotypes: a retrospective analysis in patients aged 20 to 29 years. Cells. 2022;11(20):3255.
  • 35- Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev. 1997;18(6):774-800.
  • 36- Diamanti-Kandarakis E, Dunaif A. Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr Rev. 2012;33(6):981-1030.
  • 37- Amisi CA. Markers of insulin resistance in polycystic ovary syndrome women: an update. World J Diabetes. 2022;13(3):129-38.
  • 38- Zhao H, Zhang J, Cheng X, Nie X, He B. Insulin resistance in polycystic ovary syndrome across various tissues: an updated review of pathogenesis, evaluation, and treatment. J Ovarian Res. 2023;16(1):9.
  • 39- Wen X, Wang L, Bai E. Metabolic characteristics of different phenotypes in reproductive-aged women with polycystic ovary syndrome. Front Endocrinol (Lausanne). 2024;15:1370578.
There are 39 citations in total.

Details

Primary Language English
Subjects Clinical Sciences (Other)
Journal Section Research Article
Authors

Erson Aksu 0000-0002-3629-6654

Abdulaziz Gül This is me 0000-0002-7097-3719

Early Pub Date November 29, 2025
Publication Date November 30, 2025
Submission Date October 2, 2025
Acceptance Date November 23, 2025
Published in Issue Year 2025 Volume: 15 Issue: 6

Cite

AMA Aksu E, Gül A. Cardiovascular and Metabolic Risk Profiles Across Different Phenotypes of Polycystic Ovary Syndrome. J Contemp Med. November 2025;15(6):307-314. doi:10.16899/jcm.1794476