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Biomedicines
Special Issues
Polycystic Ovary Syndrome (PCOS): Genetic, Hormonal and Metabolic Aspects
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Special Issue "Polycystic Ovary Syndrome (PCOS): Genetic, Hormonal and Metabolic Aspects"

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Endocrinology and Metabolism Research".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 1138

Special Issue Editors

Prof. Dr. Edmund Chada Baracat
E-Mail Website
Guest Editor
1. Gynecology Discipline, Obstetrics and Gynecology Department, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
2. Gynecology Division, Hospital das Clinicas, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
Interests: gynecological endocrinology; PCOS; infertility; menopause
Prof. Dr. Jose Maria Soares Junior

E-Mail Website
Guest Editor
Gynecology Discipline, Obstetrics and Gynecology Department, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
Interests: gynecological endocrinology; PCOS; infertility; menopause
Prof. Dr. Gustavo A. R. Maciel
E-Mail Website
Guest Editor
Gynecology Discipline, Obstetrics and Gynecology Department, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
Interests: gynecological endocrinology; PCOS; infertility; menopause

Special Issue Information

Dear Colleagues,

Polycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting reproductive and metabolic health in women. This Special Issue of Biomedicines focuses on the genetic and metabolic aspects of PCOS, providing insight into the underlying mechanisms and potential treatment options for this common disorder.

The Issue will include several articles covering a range of topics related to PCOS, including genetic factors, hormonal aspects, insulin resistance and metabolic dysfunction, as well as perspectives related to intervention in these cases. In addition, it will provide a comprehensive overview of the genetic, hormonal and metabolic aspects of PCOS and highlight potential avenues for future research and treatment options.

Prof. Dr. Edmund Chada Baracat
Prof. Dr. Jose Maria Soares Junior
Prof. Dr. Gustavo A. R. Maciel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PCOS
  • genetic factors
  • hormonal aspects
  • insulin resistance
  • metabolic dysfunction
  • new therapies

Published Papers (2 papers)

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Research

19 pages, 1573 KiB  
Article
Influence of Phenotypes on the Metabolic Syndrome of Women with Polycystic Ovary Syndrome over a Six-Year Follow-Up in Brazil
by
Jose Maria Soares-Jr.
,
Sylvia Asaka Yamashita Hayashida
,
Jose Antonio Miguel Marcondes
,
Gustavo Arantes Rosa Maciel
,
Cristiano Roberto Grimaldi Barcellos
,
Giovana De Nardo Maffazioli
,
Karla Krislaine Alves Costa Monteiro
,
Jose Antonio Orellana Turri
,
Ricardo Azziz
and
Edmund Chada Baracat
Biomedicines 2023, 11(12), 3262; https://doi.org/10.3390/biomedicines11123262 (registering DOI) - 09 Dec 2023
Abstract
Background: We followed polycystic ovary syndrome (PCOS) women with metabolic syndrome (MS) over a six-year treatment period and evaluated the influence of PCOS phenotypes on MS and on the risk for type 2 diabetes mellitus (T2DM). Methods: This was an observational study of [...] Read more.
Background: We followed polycystic ovary syndrome (PCOS) women with metabolic syndrome (MS) over a six-year treatment period and evaluated the influence of PCOS phenotypes on MS and on the risk for type 2 diabetes mellitus (T2DM). Methods: This was an observational study of 457 PCOS women, whose demographic, clinical, hormonal, and metabolic data underwent analysis. The PCOS women were divided into four groups per NIH recommendations. Results: After a follow-up of a mean of six years (1–20 years), 310 patients were selected to assess the development of T2DM and MS. The clinical and biochemical parameters, along with the Rotterdam phenotypes, were evaluated. Data were analyzed using Student’s t- and the Pearson chi-square tests for data variation and group proportions, respectively. Additionally, multivariate analysis was applied to evaluate the effect of PCOS phenotypes on the risk for MS and T2DM. Patients of the four PCOS phenotypes did not differ in age, body mass index, total testosterone, insulin resistance, and dyslipidemia, but phenotype A patients showed the highest risk for T2DM. A decrease in androgen levels was not followed by an improved metabolic profile; instead, there was a significant increase in the number of T2DM cases. Conclusion: Phenotype A women are at the highest risk for type 2 diabetes mellitus. Full article
(This article belongs to the Special Issue Polycystic Ovary Syndrome (PCOS): Genetic, Hormonal and Metabolic Aspects)
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13 pages, 527 KiB  
Article
Influence of hsCRP Parameter on the Occurrence of Metabolic Syndrome in Patients with Polycystic Ovary Syndrome
by
Katarzyna Lejman-Larysz
,
Dominika Pietrzyk
,
Adrianna Ćwiertnia
,
Mateusz Kozłowski
,
Sebastian Kwiatkowski
,
Iwona Szydłowska
,
Jolanta Nawrocka-Rutkowska
,
Jacek Brodowski
,
Elżbieta Sowińska-Przepiera
,
Aneta Cymbaluk-Płoska
and
Agnieszka Brodowska
Biomedicines 2023, 11(7), 1953; https://doi.org/10.3390/biomedicines11071953 - 10 Jul 2023
Viewed by 829
Abstract
PCOS (polycystic ovary syndrome) is a common endocrine disorder that affects 8–13% of women of reproductive age. Increased body weight and insulin resistance may be associated with chronic inflammation, which increases the risk of cardiovascular complications. CRP (C-reactive protein) tests may be use [...] Read more.
PCOS (polycystic ovary syndrome) is a common endocrine disorder that affects 8–13% of women of reproductive age. Increased body weight and insulin resistance may be associated with chronic inflammation, which increases the risk of cardiovascular complications. CRP (C-reactive protein) tests may be use to assess persistent inflammation. Elevated CRP levels may be associated with insulin resistance and type 2 diabetes. Determination of hsCRP, highly sensitive C-reactive protein, can be used to assess cardiovascular risk in women with PCOS. In this study, 120 women between the ages of 18 and 42 were divided into two groups: patients with polycystic ovary syndrome (n = 80) and regular menstruating women in whom PCOS was excluded (n = 40). Lipid and carbohydrate metabolism parameters and hsCRP levels were assessed, followed by receiver operating characteristic (ROC) analysis for hsCRP, where metabolic syndrome was the dependent variable. For hsCRP, the cutoff point was 1.44 (mg/dL). Sensitivity for the cutoff point was 0.913 and specificity was 0.691. The area under the curve (AUC) was 0.851 (p < 0.000). The closer the AUC value is to unity, the better the predictive ability of the studied variable. There was also a statistically significant correlation between hsCRP levels and the presence of metabolic syndrome. Full article
(This article belongs to the Special Issue Polycystic Ovary Syndrome (PCOS): Genetic, Hormonal and Metabolic Aspects)
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