Systematic review of cell adhesion molecules and estrogen receptor expression in the endometrium of patients with polycystic ovary syndrome

PurposeControversial results existed in amounts of studies investigating the authentic association of estrogen receptor genes (ESR1 and ESR2) polymorphisms with the occurrence and progression of polycystic ovary syndrome (PCOS). The inconsistency might result from different loci, sample sizes, and ethnicities. To find the potential correlations between ESR1/ESR2 polymorphisms and PCOS risk, we conducted the first systematic review and meta-analysis to comprehensively summarize current studies in a large combined population.MethodsEligible studies were retrieved from PubMed, MEDLINE, EMBASE, Cochrane Library, CBM, CNKI, WANFANG, and VIP up to February 28, 2021. The quality of studies was assessed using the Newcastle–Ottawa Scale (NOS) scoring system. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated to synthesize data in five genetic models. Subgroup analyses were conducted by ethnicity. Heterogeneity and publication bias were also assessed. The protocol was registered in PROSPERO under the number CRD42021239200.ResultsA total of 8 studies involving 1,522 PCOS patients and 4,198 controls were included. No evidence demonstrated the association of ESR1 rs2234693 (OR=1.07 95%CI 0.98–1.18), ESR1 rs9340799 (OR=0.99 95%CI 0.69–1.43), or ESR2 rs4986938 (OR=1.06 95%CI 0.81–1.38) polymorphisms and PCOS risk in five genetic models. According to stratified subgroup analyses, ethnicity was considered the major source of heterogeneity. No publication bias was found in eligible studies.ConclusionThe present meta-analysis found no significant associations between the variants of ESR1 rs2234693, ESR1 rs9340799, ESR2 rs4936938, and individual PCOS susceptibility, even if ethnicity was taken into account.Systematic Review RegistrationThe protocol was registered in PROSPERO (available from https://www.crd.york.ac.uk/PROSPERO) with the ID number CRD42021239200.

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Faculty Opinions recommendation of Inositol supplementation in women with polycystic ovary syndrome undergoing intracytoplasmic sperm injection: a systematic review and meta-analysis of randomized controlled trials.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.734283508.793559362 ◽

2019 ◽

Author(s):

Fernando Reis

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Randomized Controlled Trials ◽

Intracytoplasmic Sperm Injection ◽

Polycystic Ovary ◽

Meta Analysis ◽

Controlled Trials ◽

Ovary Syndrome ◽

Randomized Controlled

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Associations Between Serum Magnesium Concentrations and Polycystic Ovary Syndrome Status: a Systematic Review and Meta-analysis

Biological Trace Element Research ◽

10.1007/s12011-020-02275-9 ◽

2020 ◽

Author(s):

Maedeh Babapour ◽

Hamed Mohammadi ◽

Maryam Kazemi ◽

Amir Hadi ◽

Mahsa Rezazadegan ◽

...

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Meta Analysis ◽

Serum Magnesium ◽

Ovary Syndrome

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Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽

10.1002/jgh3.12512 ◽

2021 ◽

Vol 5 (4) ◽

pp. 434-445

Author(s):

Mohamed Shengir ◽

Tianyan Chen ◽

Elena Guadagno ◽

Agnihotram V Ramanakumar ◽

Peter Ghali ◽

...

Keyword(s):

Systematic Review ◽

Liver Disease ◽

Polycystic Ovary Syndrome ◽

Fatty Liver Disease ◽

Polycystic Ovary ◽

Meta Analysis ◽

Premenopausal Women ◽

Ovary Syndrome ◽

Alcoholic Fatty Liver ◽

Alcoholic Fatty Liver Disease

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Role of pomegranate extract in restoring endometrial androgen receptor expression, proliferation, and pinopodes in a rat model of polycystic ovary syndrome

Morphologie ◽

10.1016/j.morpho.2021.04.004 ◽

2021 ◽

Author(s):

M.A.A. Ibrahim ◽

M.T. Sadek ◽

H.E.M. Sharaf Eldin

Keyword(s):

Androgen Receptor ◽

Polycystic Ovary Syndrome ◽

Rat Model ◽

Polycystic Ovary ◽

Receptor Expression ◽

Androgen Receptor Expression ◽

Ovary Syndrome

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Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

Hormone and Metabolic Research ◽

10.1055/a-0806-8281 ◽

2019 ◽

Vol 51 (01) ◽

pp. 22-34 ◽

Cited By ~ 6

Author(s):

Mina Amiri ◽

Fahimeh Tehrani ◽

Razieh Bidhendi-Yarandi ◽

Samira Behboudi-Gandevani ◽

Fereidoun Azizi ◽

...

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Biochemical Markers ◽

Polycystic Ovary ◽

Meta Analysis ◽

Metabolic Parameters ◽

High Density Lipoproteins ◽

Total Testosterone ◽

Ovary Syndrome ◽

Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

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