When one size does not fit all: Reconsidering PCOS etiology, diagnosis, clinical subgroups, and subgroup-specific treatments

V. Unfer , E. Kandaraki , L. Pkhaladze , S. Roseff , M.H. Vazquez-Levin , A.S. Laganà , C. Shiao-Yng , M.I.M. Yap-Garcia , N.D.E. Greene , C.O. Soulage , A. Bevilacqua , S. Benvenga , D. Barbaro , B. Pintaudi , A. Wdowiak , C. Aragona , Z. Kamenov , M. Appetecchia , G. Porcaro , I. Hernandez Marin , J. Nestler
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Abstract

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects a large proportion of women. Due to its heterogeneity, the best diagnostic strategy has been a matter of contention. Since 1990 scientific societies in the field of human reproduction have tried to define the pivotal criteria for the diagnosis of PCOS. The consensus Rotterdam diagnostic criteria included the presence of hyperandrogenism, oligo/anovulation, and polycystic ovarian morphology (PCOM), and have now been updated to evidence based diagnostic criteria in the 2018 and 2023 International Guideline diagnostic criteria endorsed by 39 societies internationally. Within the Rotterdam Criteria, at least two out of three of the above-mentioned features are required to be present to diagnose PCOS, resulting in four phenotypes being identified: phenotype A, characterized by the presence of all the features, phenotype B, exhibiting hyperandrogenism and oligo-anovulation, phenotype C, presenting as hyperandrogenism and PCOM and finally the phenotype D that is characterized by oligo-anovulation and PCOM, lacking the hyperandrogenic component. However, it is the hypothesis of the EGOI group that the Rotterdam phenotypes A, B, and C have a different underlying causality to phenotype D. Recent studies have highlighted the strong correlation between insulin resistance and hyperandrogenism, and the pivotal role of these factors in driving ovarian alterations, such as oligo-anovulation and follicular functional cyst formation. This new understanding of PCOS pathogenesis has led the authors to hypothesis that phenotypes A, B, and C are endocrine-metabolic syndromes with a metabolic clinical onset. Conversely, the absence of hyperandrogenism and metabolic disturbances in phenotype D suggests a different origin of this condition, and point towards novel pathophysiological mechanisms; however, these are still not fully understood. Further questions have been raised regarding the suitability of the “phenotypes” described by the Rotterdam Criteria by the publication by recent GWAS studies, which demonstrated that these phenotypes should be considered clinical subtypes as they are not reflected in the genetic picture. Hence, by capturing the heterogeneity of this complex disorder, current diagnostic criteria may benefit from a reassessment and the evaluation of additional parameters such as insulin resistance and endometrial thickness, with the purpose of not only improving their diagnostic accuracy but also of assigning an appropriate and personalized treatment. In this framework, the present overview aims to analyze the diagnostic criteria currently recognized by the scientific community and assess the suitability of their application in clinical practice in light of the newly emerging evidence.

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不能一刀切:重新考虑多囊卵巢综合症的病因、诊断、临床亚组和针对亚组的治疗方法
多囊卵巢综合征(PCOS)是一种复杂的内分泌疾病,影响着很大一部分女性。由于多囊卵巢综合症的异质性,最佳诊断策略一直是个争论不休的问题。自 1990 年以来,人类生殖领域的科学协会一直在努力界定 PCOS 诊断的关键标准。鹿特丹共识诊断标准包括高雄激素、少排卵/无排卵和多囊卵巢形态(PCOM)的存在,目前已更新为由国际 39 个学会认可的 2018 年和 2023 年国际指南诊断标准中的循证诊断标准。在《鹿特丹标准》中,诊断多囊卵巢综合征需要具备上述三个特征中的至少两个,从而确定了四种表型:表型 A,特征是存在所有特征;表型 B,表现为高雄激素和少排卵;表型 C,表现为高雄激素和 PCOM;最后是表型 D,特征是少排卵和 PCOM,缺乏高雄激素成分。然而,EGOI 小组假设鹿特丹表型 A、B 和 C 与表型 D 具有不同的潜在因果关系。最近的研究强调了胰岛素抵抗和高雄激素之间的密切联系,以及这些因素在驱动卵巢改变(如少排卵和卵泡功能性囊肿形成)中的关键作用。对多囊卵巢综合征发病机制的这一新认识促使作者提出了表型 A、B 和 C 是内分泌代谢综合征的假设,其临床发病与代谢有关。相反,表型 D 中没有高雄激素和代谢紊乱,这表明该病症的起源不同,并指向新的病理生理机制;然而,这些机制仍未完全明了。最近发表的 GWAS 研究表明,这些表型应被视为临床亚型,因为它们没有反映在遗传图谱中。因此,通过捕捉这种复杂疾病的异质性,对胰岛素抵抗和子宫内膜厚度等其他参数进行重新评估和评价,不仅可以提高诊断的准确性,还可以为患者提供适当的个性化治疗,从而使目前的诊断标准受益。在此框架下,本综述旨在分析科学界目前认可的诊断标准,并根据新出现的证据评估这些标准在临床实践中的适用性。
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来源期刊
Endocrine and Metabolic Science
Endocrine and Metabolic Science Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.80
自引率
0.00%
发文量
4
审稿时长
84 days
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