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1.
Artículo en Inglés | MEDLINE | ID: mdl-38888252

RESUMEN

CONTEXT: Previous studies have shown that the prevalence of polycystic ovary syndrome (PCOS) may vary according to race/ethnicity, although few studies have assessed women of different ethnicities who live in similar geographic and socio-economic conditions. OBJECTIVE: To determine the prevalence of PCOS in an unselected multiethnic population of premenopausal women. DESIGN: A multicenter prospective cross-sectional study. SETTINGS: The main regional employers of Irkutsk Region and the Buryat Republic, Russia. PARTICIPANTS: During 2016-19, 1398 premenopausal women underwent a history and physical exam, pelvic ultrasound, and testing during a mandatory annual employment-related health assessment. MAIN OUTCOME MEASURES: PCOS prevalence, overall and by ethnicity in a large medically unbiased population, including Caucasian (White), Mongolic or Asian (Buryat), and mixed ethnicity individuals, living in similar geographic and socio-economic conditions for centuries. RESULTS: PCOS was diagnosed in 165/1134 (14.5%) women who had a complete evaluation for PCOS. Based on the probabilities for PCOS by clinical presentation observed in the cohort of women who had a complete evaluation we also estimated the weight-adjusted prevalence of PCOS in 264 women with an incomplete evaluation: 46.2 or 17.5%. Consequently, the total prevalence of PCOS in the population was 15.1%, higher among Caucasians and women of Mixed ethnicity compared to Asians (16.0% and 21.8% vs. 10.8%, pz <0.05). CONCLUSIONS: We observed a 15.1% prevalence of PCOS in our medically unbiased population of premenopausal women. In this population of Siberian premenopausal women of Caucasian, Asian and Mixed ethnicity living in similar geographic and socio-economic conditions, the prevalence was higher in Caucasian or Mixed than Asian women. These data highlight the need to assess carefully ethnic-dependent differences in the frequency and clinical manifestation of PCOS.

2.
Life (Basel) ; 13(1)2022 Dec 20.
Artículo en Inglés | MEDLINE | ID: mdl-36675956

RESUMEN

Abnormalities in gut microbiota diversity are considered important mechanisms in metabolic disorders in polycystic ovarian syndrome (PCOS). However, the data on the association of these disorders with the PCOS phenotype remain controversial. The objectives of this study were to estimate the alpha diversity of the gut microbiota of healthy women and PCOS patients depending on phenotype. The study participants (184 premenopausal women: 63 with PCOS, 121 without PCOS) were recruited during the annual employment assessment in the Irkutsk Region and the Buryat Republic (Russia) in 2016-2019. For PCOS diagnosis, we used the Rotterdam (2003) criteria and definitions of PCOS phenotypes. Five indexes of alpha diversity (ASV, Shannon, Simpson, Chao, and ACE) were estimated for the gut microbiota in all participants using amplicon metasequencing. As a result, two out of five alpha diversity indexes showed a statistical difference between the non-PCOS and PCOS groups. We did not find a significant difference in the alpha diversity of gut microbiota in the subgroups of women with hyperandrogenic PCOS phenotypes vs non-androgenic phenotype D and the group of women with the presence of only one of the PCOS criteria. Nevertheless, "classic" PCOS phenotypes demonstrated the most significant decrease in alpha diversity compared with healthy women without any signs of PCOS.

3.
Diagnostics (Basel) ; 13(1)2022 Dec 22.
Artículo en Inglés | MEDLINE | ID: mdl-36611327

RESUMEN

Androgen assessment is a key element for diagnosing polycystic ovary syndrome (PCOS), and defining a "normal" level of circulating androgens is critical for epidemiological studies. We determined the upper normal limits (UNLs) for androgens in a population-based group of premenopausal "healthy control" women, overall and by ethnicity (Caucasian and Asian), in the cross-sectional Eastern Siberia PCOS Epidemiology and Phenotype (ESPEP) Study (ClinicalTrials.gov ID: NCT05194384) conducted in 2016-2019. Overall, we identified a "healthy control" group consisting of 143 healthy premenopausal women without menstrual dysfunction, hirsutism, polycystic ovaries, or medical disorders. We analyzed serum total testosterone (TT) by using liquid chromatography with tandem mass spectrometry (LC-MS/MS), and DHEAS, sex-hormone-binding globulin (SHBG), TSH, prolactin, and 17-hydroxyprogesterone (17OHP) were assessed with an enzyme-linked immunosorbent assay (ELISA). The UNLs for the entire population for the TT, free androgen index (FAI), and DHEAS were determined as the 98th percentiles in healthy controls as follows: 67.3 (95% confidence interval (CI): 48.1, 76.5) ng/dl, 5.4 (3.5, 14.0), and 355 (289, 371) µg/dl, respectively. The study results demonstrated that the UNLs for TT and FAI varied by ethnicity, whereas the DHEAS UNLs were comparable in the ethnicities studied.

4.
Data Brief ; 32: 106137, 2020 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-32939371

RESUMEN

For the metagenomic characterization of potential taxonomic and functional diversity of microorganisms associated with polycystic ovary syndrome (PCOS) in women, we surveyed five women with PCOS and collected samples of feces, saliva, and serum. After quality processing, we have obtained from 915,594 to 3,880,379 reads; these 16,693 sequences had ribosomal RNA genes, 2,091,990 sequences contained predicted proteins with known functions, and 3,750,261 sequences had predicted proteins with unknown functions. Host DNA accounted for ca. 0.03% and less in datasets of fecal samples, from 1.41 to 24.94% in saliva samples; the remaining sequences were attributed to archaeal, bacterial, or viral DNA. In serum, from 38.18 to 75.77% were characterized as fragments of the human genome, but the remaining sequences were unidentified. Among microbes, a total of one archaeal and eight bacterial phyla were revealed. Viral DNA was detected in several fecal and one saliva sample and was classified as C2likevirus, Flavivirus, and Streptococcus bacteriophage. The metagenome sequence data were deposited at NCBI SRA as BioProject No. PRJNA625611.

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