The polycystic ovary syndrome per se is not associated with increased chronic inflammation

Möhlig, Matthias; Spranger, Joachim; Osterhoff, Martin; Ristow, Michael; Pfeiffer, Andreas F. H.; Schill, T.; Schlösser, H. W.; Brabant, Georg; Schöfl, Christof

doi:10.1530/eje.0.1500525

Cited by 158 publications

(153 citation statements)

References 37 publications

(24 reference statements)

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“…After careful reading the abstracts and titles, 26 potential articles were included . Eight publications were excluded for insufficient or uncorrelated data according to our inclusion criteria [9,11,10,14,13,23,24,30]. Finally, 18 articles met the inclusion criteria and were selected [8,7,27,12,28,18,15,17,20,19,22,21,25,26,29,31,16].…”

Section: Search Resultsmentioning

confidence: 99%

Associations between TNF-α and interleukin gene polymorphisms with polycystic ovary syndrome risk: a systematic review and meta-analysis

Yang

2015

J Assist Reprod Genet

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Background The associations between TNF-α and Interleukin gene polymorphisms and polycystic ovary syndrome (PCOS) risk have been studied in numerous epidemiological studies, but the results remain controversial. To investigate whether these polymorphisms facilitate susceptibility to PCOS, we conducted a comprehensive systematic review and meta-analysis. Methods PubMed, Embase, Web of Science, Medline, CNKI, and Google Scholar were searched to obtain the genetic association studies according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Odds ratios (OR) with corresponding 95 % confidence intervals (CI) were used to assess the strengths of the associations. Funnel plots and Egger's tests were performed to test for possible publication bias. All statistical analyses were performed using Review No associations were found with the other genetic models. Conclusion The results of the meta-analysis suggest positive associations between the TNF-α -1031 T> C and IL-6 -174G>C polymorphisms and the risk of PCOS. No associations are found between PCOS risk and the TNF-α -308G>A, TNF-α -805C>T, IL-1A -889C>T, IL-1B -511C>T, IL-1B + 3953C>T, IL-10 -819C>T, IL-10 -1082 A>G, IL-18 -607C> A, and IL-18 -137G>C polymorphisms. However, due to the heterogeneity and low quality of the studies related to PCOS polymorphisms in the meta-analysis, the results should be interpreted with caution. Future multi-ethnicity studies of homogeneous populations of PCOS patients with larger sample sizes and well-matched controls are needed.

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Section: Search Resultsmentioning

confidence: 99%

Associations between TNF-α and interleukin gene polymorphisms with polycystic ovary syndrome risk: a systematic review and meta-analysis

Yang

2015

J Assist Reprod Genet

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“…Insulin was quantified by an ELISA (Mercodia, Uppsala, Sweden). All further biochemical and endocrine parameters were measured as described previously (26,29).…”

Section: Assaysmentioning

confidence: 99%

Androgen receptor CAG repeat length polymorphism modifies the impact of testosterone on insulin sensitivity in men

Möhlig

Arafat²,

Osterhoff³

et al. 2011

European Journal of Endocrinology

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Objective: Low circulating testosterone concentrations have been associated with insulin resistance (IR). Androgen action is mediated by the androgen receptor (AR) whose activity is modulated by a polymorphic CAG repeat sequence within exon 1. An interaction between testosterone and CAG repeat length (CAG length) with respect to IR has been described in women. Objective: We investigated such a putative interaction between testosterone and the CAG length with respect to IR in men with normal glucose tolerance. Design: Cross-sectional study. Methods: In 113 non-diabetic men calculated free testosterone, the CAG length, and a multiplicative interaction term were investigated by multiple linear regression analysis for an association with IR, as indicated by homeostasis model assessment (HOMA %S). Results: In a multivariate regression analysis adjusted for age and body mass index, free testosterone, CAG length, and a multiplicative interaction term were significantly associated with IR (PZ0.001, PZ0.001, PZ0.01 respectively). The model explained 36.6% of the variation of IR and predicted that in carriers with a CAG length of 23, changes in testosterone would only minimally affect IR. For CAG lengths longer than 23, however, an increase in testosterone would improve IR, namely the longer the CAG length, the greater the effect. In contrast, in the case of CAG lengths shorter than 23, the effect of increasing testosterone would be the opposite. Conclusions: In men, testosterone and the AR CAG repeat length polymorphism interacted with respect to IR. The interpretation of the association between testosterone and IR seems to require consideration of the AR CAG repeat polymorphism.

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“…The patients were included after written informed consent was obtained. The cohort has been published in part previously (24)(25)(26). The diagnosis of PCOS was based on (i) the presence of chronic ovulatory dysfunction, i.e.…”

Section: Subjectsmentioning

confidence: 99%

Predictors of abnormal glucose metabolism in women with polycystic ovary syndrome

Möhlig¹,

Spranger²,

Ristow³

et al. 2006

eur j endocrinol

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Objective: Polycystic ovary syndrome (PCOS) is a risk factor for type 2 diabetes mellitus and screening for abnormal glucose metabolism has been recommended by an oral glucose tolerance test (OGTT). This procedure is time-consuming and inconvenient, limiting its general use. Therefore, an easy method is wanted to separate PCOS women with normal from those with potentially abnormal glucose metabolism. Design: Simple parameters obtained from 101 consecutive PCOS patients were assessed by receiver operating curve analysis for their ability to predict abnormal glucose metabolism. Results: Comparing discriminating parameters at defined sensitivities revealed that, assessed by homeostasis model assessment (HOMA), insulin resistance (HOMA%S) had the highest specificitiy. At a cut-off point of 73.1%, HOMA%S had a sensitivity of 95.5% and a specificity of 51.9%. Applying this cut-off separated 59 women who had a high probability of abnormal glucose metabolism from 42 women who were at low risk (less than 2.5%). Fasting insulin was the second-best parameter and had a similar specificity. A screening strategy which applies HOMA%S or fasting insulin could almost halve the number of OGTTs by directing them to those PCOS women most likely to be suffering from abnormal glucose metabolism. The negative predictive value of this strategy was 97%. The strategy was tested and confirmed in a second and independent cohort of 264 PCOS women. Conclusions: HOMA%S, or to a lesser extent fasting insulin, appears to allow for stratified metabolic screening of PCOS women with OGTT.European Journal of Endocrinology 154 295-301

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The polycystic ovary syndrome per se is not associated with increased chronic inflammation

Cited by 158 publications

References 37 publications

Associations between TNF-α and interleukin gene polymorphisms with polycystic ovary syndrome risk: a systematic review and meta-analysis

Associations between TNF-α and interleukin gene polymorphisms with polycystic ovary syndrome risk: a systematic review and meta-analysis

Androgen receptor CAG repeat length polymorphism modifies the impact of testosterone on insulin sensitivity in men

Predictors of abnormal glucose metabolism in women with polycystic ovary syndrome

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