Neck circumference is independently associated with metabolic syndrome in women with polycystic ovary syndrome

Liu, Chang; Ding, Lin; Yang, Haisong; Chen, Zimiao

doi:10.1507/endocrj.ej21-0761

Cited by 7 publications

(14 citation statements)

References 35 publications

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“…Metabolic abnormalities such as hyperinsulinemia, insulin resistance, dyslipidemia, and obesity are often present in PCOS women ( Liu et al, 2022 ). Recent studies have used the measurement of the waist-to-hip ratio of PCOS patients as a simple, cheap, non-invasive, available method to establish the amount of visceral obesity.…”

Section: Discussionmentioning

confidence: 99%

“…Recent studies have used the measurement of the waist-to-hip ratio of PCOS patients as a simple, cheap, non-invasive, available method to establish the amount of visceral obesity. Measuring the neck and arm circumference in PCOS patients as an anthropometric parameter representing the upper body’s subcutaneous adipose tissue can also be an innovative tool for screening abdominal obesity distribution, which reflects abdominal obesity and metabolic disorders ( Liu et al, 2022 ; Yang et al, 2021 ). The results of the present study also show that patients with excessive adiposity (AO) have more upper-body obesity (around the neck and arms), which worsens hyperandrogenism.…”

Section: Discussionmentioning

confidence: 99%

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Abdominal Obesity May Play a Significant Role in Exacerbation of Inflammation in Polycystic Ovary Syndrome Patients

Shirvanizadeh,

Eidi,

Hafezi

et al. 2023

JBRA

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Objective Polycystic ovary syndrome (PCOS) is an endocrine disorder that seems to be pro-inflammatory at many levels, abdominal obesity (AO) is a prevalent pro-inflammatory phenotype in PCOS patients, and it seems to contribute to the initiation or worsening of inflammation in PCOS patients. In this study, we investigated the role of the AO phenotype in the occurrence of other obesity indicators (neck and arm) and augmentation of inflammation in the follicular fluid (FF) of PCOS patients. Methods 40 patients under the age of 35 were divided into four groups: PCOS with AO, PCOS without AO, non-PCOS with AO, and non-PCOS without AO. The FF samples were collected from each patient. Clinical and anthropometric characteristics of the participants, as well as tumor necrosis factor-α (TNF-α) concentration in the FF samples, were quantitatively assessed using enzyme-linked immunosorbent assays. The number of retrieved cumulus-oocyte complexes (COC) and their quality were scored. Results The PCOS + AO + group had significantly increased neck circumference, compared to the other groups ( p <0.001). The concentration of TNF-α was significantly higher in the PCOS+AO+ group than in the other groups ( p <0.001). There were no significant differences in the number of retrieved COC per patient and the quality of oocytes between the groups ( p >0.05). Conclusions Given the significant role of inflammation in the development of PCOS, managing AO in PCOS patients may aid in reducing inflammation and could potentially help in the design of customized treatment approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Abdominal Obesity May Play a Significant Role in Exacerbation of Inflammation in Polycystic Ovary Syndrome Patients

Shirvanizadeh,

Eidi,

Hafezi

et al. 2023

JBRA

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“…Where the data were reported in quartiles and/or in the form of median and range, conversion was done for suitable use in meta-analysis [16,17]. In case of any inadequate data while combining the quartiles, the quartile with missing data was not included [9]. A quality score evaluation for studies was carried out according to Newcastle-Ottawa Scale (NOS) for observational studies [18].…”

Section: Data Extraction and Quality Assessmentmentioning

confidence: 99%

“…Though the associations of BMI in PCOS are well documented [4], the evidence on the association of NC in PCOS is limited with conflicting results [5][6][7][8][9][10][11][12][13]. Therefore, to obtain more precise and valid information on the association of NC in PCOS, this systematic review and meta-analysis were conducted on studies involving reproductively aged adolescent and adult women (population) with PCOS (exposure) and non-PCOS controls (comparator) evaluating the NC values (outcome).…”

Section: Introductionmentioning

confidence: 99%

Neck Circumference in Polycystic Ovary Syndrome: A Systematic Review and Bootstrapped Meta-Analysis with GRADE Approach

Lisa,

Varikasuvu,

Kumar

et al. 2024

Gynecol Obstet Invest

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Introduction: Our aim was to perform a systematic review and meta-analysis for the association of neck circumference (NC) in polycystic ovary syndrome (PCOS) patients as compared to non-PCOS controls. Methods: Primarily the PubMed/MEDLINE database and others such as SCOPUS, Google Scholar, Cochrane Library, were searched up to November 15, 2023 for observational studies comparing NC in PCOS versus non-PCOS women. The mean and SD values of NC and other covariates in PCOS and control groups were extracted by two independent reviewers, and the quality and risk of bias assessment was done using Newcastle-Ottawa Scale. The meta-analysis employed combined standardized mean differences (SMD) with 95% confidence intervals (CI) to compare NC between PCOS patients and controls. The heterogeneity and validity were addressed by subgroup, meta-regression, and sensitivity analyses. We conducted a Bootstrapped meta-analysis using 1,000 and 10,000 simulations to test the accuracy of the obtained results. The certainty of evidence was assessed by the GRADE approach. Results: Our meta-analysis included 9 observational studies. The PCOS patients showed significantly higher NC values than the non-PCOS controls (SMD: 0.66, 95% CI: 0.41–0.91, p < 0.0001). In the bootstrap meta-analysis, the accuracy of the observed findings was proved (SMD = 0.66, 95% CI = 0.42–0.91) for the NC outcome. No publication bias was detected in the funnel plot analysis using Begg’s and Egger’s tests. The 95% prediction interval of 0.036–1.28 suggests that the true outcomes of the studies are generally in the same direction as the estimated average outcome. The sensitivity analysis provided the robustness of the outcome, and no single study was overly influential on the pooled estimate. Conclusion: This meta-analysis provides accurate evidence for significantly higher NC values in PCOS as compared to non-PCOS controls. There is no sufficient evidence on the diagnostic accuracy measures for NC in PCOS. Hence, further research on its diagnostic utility in PCOS is needed.

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“…In the context of PCOS, elevated insulin levels stemming from IR can further complicate metabolic issues, such as obesity and type 2 diabetes, and aggravate PCOS symptoms by promoting increased androgen production. Additionally, IR is associated with an elevated risk of cardiovascular diseases and metabolic syndrome among PCOS patients, underlining its significance in the broader spectrum of metabolic dysfunction [10,11].…”

Section: Introductionmentioning

confidence: 99%

CAPN2 correlates with insulin resistance states in PCOS as evidenced by multi-dataset analysis

Luo,

Dong,

Zheng

et al. 2024

J Ovarian Res

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Objective IR emerges as a feature in the pathophysiology of PCOS, precipitating ovulatory anomalies and endometrial dysfunctions that contribute to the infertility challenges characteristic of this condition. Despite its clinical significance, a consensus on the precise mechanisms by which IR exacerbates PCOS is still lacking. This study aims to harness bioinformatics tools to unearth key IR-associated genes in PCOS patients, providing a platform for future therapeutic research and potential intervention strategies. Methods We retrieved 4 datasets detailing PCOS from the GEO, and sourced IRGs from the MSigDB. We applied WGCNA to identify gene modules linked to insulin resistance, utilizing IR scores as a phenotypic marker. Gene refinement was executed through the LASSO, SVM, and Boruta feature selection algorithms. qPCR was carried out on selected samples to confirm findings. We predicted both miRNA and lncRNA targets using the ENCORI database, which facilitated the construction of a ceRNA network. Lastly, a drug-target network was derived from the CTD. Results Thirteen genes related to insulin resistance in PCOS were identified via WGCNA analysis. LASSO, SVM, and Boruta algorithms further isolated CAPN2 as a notably upregulated gene, corroborated by biological verification. The ceRNA network involving lncRNA XIST and hsa-miR-433-3p indicated a possible regulatory link with CAPN2, supported by ENCORI database. Drug prediction analysis uncovered seven pharmacological agents, most being significant regulators of the endocrine system, as potential candidates for addressing insulin resistance in PCOS. Conclusions This study highlights the pivotal role of CAPN2 in insulin resistance within the context of PCOS, emphasizing its importance as both a critical biomarker and a potential therapeutic target. By identifying CAPN2, our research contributes to the expanding evidence surrounding the CAPN family, particularly CAPN10, in insulin resistance studies beyond PCOS. This work enriches our understanding of the mechanisms underlying insulin resistance, offering insights that bridge gaps in the current scientific landscape.

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Neck circumference is independently associated with metabolic syndrome in women with polycystic ovary syndrome

Cited by 7 publications

References 35 publications

Abdominal Obesity May Play a Significant Role in Exacerbation of Inflammation in Polycystic Ovary Syndrome Patients

Abdominal Obesity May Play a Significant Role in Exacerbation of Inflammation in Polycystic Ovary Syndrome Patients

Neck Circumference in Polycystic Ovary Syndrome: A Systematic Review and Bootstrapped Meta-Analysis with GRADE Approach

CAPN2 correlates with insulin resistance states in PCOS as evidenced by multi-dataset analysis

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