Polycystic Ovarian Syndrome (PCOS): Does the Challenge End at Conception?

Mirza, Fadi G.; Tahlak, Muna A.; Rjeili, Rachelle Bou; Hazari, Komal; Ennab, Farah; Hodgman, Charlie; Khamis, Amar Hassan; Atiomo, William

doi:10.3390/ijerph192214914

Cited by 18 publications

(15 citation statements)

References 81 publications

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“…Due to a poor understanding of the mechanisms involved, there are limited options in the specific etiological treatment for infertility, however, once pregnancy is achieved, PCOS predisposes to the development of gestational diabetes, spontaneous abortion, hypertension in pregnancy, preeclampsia, pregnancy preterm which increases the risk of neonatal death, complications shared in women with MetS in the fertile stage 17 .…”

Section: Pcosmentioning

confidence: 99%

Relationship between Polycystic Ovary Syndrome and Metabolic Syndrome

Cerón

2023

TJOR

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Polycystic ovary syndrome (PCOS) is a heterogeneous, complex, and widely misunderstood endocrine disorder that affects intermediate metabolism, the cardiovascular and reproductive systems, and has social and psychological consequences. The prevalence and incidence of PCOS is high among women with Metabolic Syndrome (MetS). In Mexico, the hyperandrogenic subtype is the most prevalent of the characterized subtypes and is characterized by hyperandrogenism, insulin resistance, and ovulatory dysfunction. Central obesity plays a role in the development of the hyperandrogenic subtype as adipositopathy can cause a syndrome of insulin resistance and androgen excess, both of which contribute to cardiovascular comorbidities. These two syndromes share similar pathophysiological mechanisms, suggesting that PCOS could be a complication of MetS or vice versa. The purpose of this article is to explore the relationship between MetS and PCOS, with a focus on pathogenesis, infertility, microbiota, comorbidities, and treatment.

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Section: Pcosmentioning

confidence: 99%

Relationship between Polycystic Ovary Syndrome and Metabolic Syndrome

Cerón

2023

TJOR

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“…HA has a composite origin, attributed mainly to the ovaries, with a substantial contribution from the adrenals and a minor contribution from adipose tissue [ 10 ]. It is now widely recognized that insulin resistance, manifesting above all in obese or overweight women but often also in lean women with PCOS, is one of the keys to this complex syndrome [ 11 , 12 ]. Increased levels of insulin through insulin resistance determines HA by acting synergically with luteinizing hormone (LH) on ovarian steroidogenic enzymes.…”

Section: Introductionmentioning

confidence: 99%

Serum Expression of miR-23a-3p and miR-424-5p Indicate Specific Polycystic Ovary Syndrome Phenotypes: A Pilot Study

Trummer,

Hoeller,

Reintar

et al. 2024

IJMS

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MicroRNAs (miRNAs) are single-stranded, non-coding RNAs that regulate mRNA expression on a post-transcriptional level. Observational studies suggest an association of serum miRNAs and polycystic ovary syndrome (PCOS), a common heterogeneous endocrinopathy characterized by hyperandrogenism (HA), oligo- or amenorrhea (OM) and polycystic ovaries. It is not known whether these miRNA profiles also differ between PCOS phenotypes. In this pilot study, we compared serum expression profiles between the four PCOS phenotypes (A–D) and analyzed them both in PCOS (all phenotypes) and in phenotypes with HA by quantitative-real-time PCR (qRT-PCR). The serum expression of miR-23a-3p was upregulated in phenotype B (n = 10) and discriminated it from phenotypes A (n = 11), C (n = 11) and D (n = 11, AUC = 0.837; 95%CI, 0.706–0.968; p = 0.006). The expression of miR-424-5p was downregulated in phenotype C (n = 11) and discriminated it from phenotypes A, B and D (AUC = 0.801; 95%CI, 0.591–1.000; p = 0.007). MiR-93-5p expression was downregulated in women with PCOS (all phenotypes, n = 42) compared to controls (n = 8; p = 0.042). Phenotypes with HA (A, B, C; n = 32) did not show differences in the analyzed expression pattern. Our data provide new insights into phenotype-specific miRNA alterations in the serum of women with PCOS. Understanding the differential hormonal and miRNA profiles across PCOS phenotypes is important to improve the pathophysiological understanding of PCOS heterogeneity.

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“…It is characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology, leading to various reproductive, metabolic, and psychological issues [ 2 ]. Additionally, PCOS is linked to a higher risk of type 2 diabetes, cardiovascular disease, endometrial cancer, infertility, and pregnancy complications [ 3 ]. Research is needed to identify predictors of these risks in women with PCOS to reduce the associated morbidity and mortality.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis

Atiomo,

Rizwan,

Bajwa

et al. 2024

IJERPH

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Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting women of reproductive age. It increases the risk of type 2 diabetes, cardiovascular disease, endometrial cancer, infertility, gestational diabetes, preeclampsia, and preterm birth. Accurately identifying predictors of these health risks is crucial. Electronic health records (EHRs) offer an affordable approach, however, the validity and reliability of EHRs for PCOS diagnosis are unclear. A scoping review of the literature on the prevalence and reliability of the diagnosis of PCOS using EHRs was performed. An analysis of the feasibility of obtaining diagnostic variables from a PCOS patient database was also carried out. Eight studies met the criteria. The prevalence of PCOS ranged from 0.27% to 5.8%. Reliability varied, with one study reporting a sensitivity of 50% and a specificity of 29%. Another study found a 74.4% agreement between international classification of disease (ICD) codes and clinical criteria. The database analysis found only 13.7%, 8%, and 7.5% of women had all the necessary variables for an objective diagnosis of PCOS using the Rotterdam, National Institutes of Health (NIH), and Androgen Excess and PCOS Society (AEPCOS) criteria, respectively. Using EHRs results in an underestimation of PCOS prevalence compared to other diagnostic criteria, and many women identified may not meet the complete diagnostic criteria. These findings have implications for future research studies on PCOS prevalence and related health risks.

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Polycystic Ovarian Syndrome (PCOS): Does the Challenge End at Conception?

Cited by 18 publications

References 81 publications

Relationship between Polycystic Ovary Syndrome and Metabolic Syndrome

Relationship between Polycystic Ovary Syndrome and Metabolic Syndrome

Serum Expression of miR-23a-3p and miR-424-5p Indicate Specific Polycystic Ovary Syndrome Phenotypes: A Pilot Study

Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis

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