Polycystic ovary syndrome (PCOS) is known as a common gynecologic and endocrinology disease with multiple short and long-term consequences. It is one of the most common causes for hyperandrogenism and anovulation, increases the risk for metabolic syndrome, type 2 diabetes and cardiovascular disease. Its etiology remains unclear. PCOS is thought to be the result of the interaction between predisposing genetic variants with environmental factors and strongly depends on ethnicity. Proteomics allows the study of several hundreds or thousands of proteins in order to reveal physiological state of a tissue or an organ at the molecular level and to identify disease-specific biomarkers. Its use on PCOS patients will permit us to identify molecules that are involved in the PCOS pathology so we can develop specific diagnostic and management approaches.

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Article Synopsis
  • Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by various factors, and this study utilizes a noninvasive imaging technique called shear wave elastography (SWE) to assess ovarian stiffness in patients with PCOS.
  • The research found that individuals with PCOS had significantly higher numbers of follicles, ovarian volume, and increased SWE measurements compared to healthy controls, identifying these factors as independent risk indicators for PCOS.
  • Additionally, a rat model showed that increased ovarian stiffness was linked to fibrosis and changes in gene expression related to the ovarian structure, suggesting a biological connection between stiffness and the prevalence of PCOS.
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Generation of a human induced pluripotent stem cell line NTUHi006-A from a polycystic ovarian syndrome patient.

Stem Cell Res

December 2024

Department of Obstetrics and Gynecology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan; Livia Shangyu Wan Chair Professor of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan Research Center for Cell Therapy and Regeneration Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address:

Polycystic ovary syndrome (PCOS) is a common endocrine disorder related to multifactors and genetic polymorphisms. Here, we derived an induced pluripotent stem cell (hiPSC) line NTUHi006-A from a phenotype A (full-blown) PCOS patients with clinical hyperandrogenism, chronic anovulation, and polycystic ovarian morphology on ultrasonography. NTUHi006-A showed stemness, pluripotency and stem cell-like morphology.

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Polycystic ovary syndrome (PCOS), a major cause of female infertility, affects 4%-20% of reproductive-age women. Metabolic and hormonal alterations are key features of PCOS, potentially raising the risk of endometrial (EC) and ovarian (OVCA) cancers. This systematic review aims to summarise the proposed molecular mechanisms involved in the association between PCOS and EC or OVCA.

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Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome.

Proteome Sci

December 2024

The addresses of the institutions: Reproductive Medicine Center, Lanzhou University Second Hospital, No.82, Cuiying Road, Chengguan District, Lanzhou City, Gansu Province, China.

Objective: The study aimed to explore the role of metabolism-related proteins and their correlation with clinical data in predicting the prognosis of polycystic ovary syndrome (PCOS).

Methods: This research involves a secondary analysis of proteomic data derived from endometrial samples collected from our study group, which includes 33 PCOS patients and 7 control subjects. A comprehensive identification and analysis of 4425 proteins were conducted to screened differentially expressed proteins (DEPs).

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Polycystic ovary syndrome (PCOS) is a complex multifactorial endocrinopathy affecting reproductive aged women globally, whose presentation is strongly influenced by genetic makeup, ethnic, and geographic diversity leaving these affected women substantially predisposed to reproductive and metabolic perturbations. Sophisticated techniques spanning genomics, proteomics, epigenomics, and transcriptomics have been harnessed to comprehensively understand the enigmatic pathophysiology of PCOS, however, conclusive markers for PCOS are still lacking today. Metabolomics represents a paradigm shift in biotechnological advances enabling the simultaneous identification and quantification of metabolites and the use of this approach has added yet another dimension to help unravel the strong metabolic component of PCOS.

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