Correlation between IL-1β, IL-1Ra gene polymorphism and occurrence of polycystic ovary syndrome infertility

Xia, Yu; Yao, Li; Zhang, Zhan‐Xin

doi:10.1016/s1995-7645(13)60030-9

Cited by 21 publications

(16 citation statements)

References 16 publications

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“…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]. The study selection process is shown in Fig.…”

Section: Search Resultsmentioning

confidence: 99%

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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%

“…For IL-1A -889C>T (rs1800587), 310 cases and 279 controls from 2 studies [25,20] were analyzed. For IL-1B -511C>T (rs16944), we looked at 482 cases and 421 controls from 4 studies [25,8,18,16]. For the IL-1B +3953C>T polymorphism (rs1143634) in exon 5, 223 cases and 188 controls from 2 studies were included [18,25].…”

Section: Study Characteristicsmentioning

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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“…In the present study, we hypothesized that increasing systemic levels of IL‐1Ra may affect insulin secretion by β‐cells and also reflect increased subclinical inflammatory activity associated with impaired glucose metabolism in women with PCOS. Moreover, the impact of body mass index (BMI) on systemic IL‐1Ra levels was also investigated, as there have been conflicting results as regards its role …”

Section: Introductionmentioning

confidence: 99%

IL‐1 receptor antagonist levels are associated with glucose tolerance in polycystic ovary syndrome

Luotola

Piltonen

Puurunen

et al. 2016

Clinical Endocrinology

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“…Recently, cytokines have emerged as key contributors to human reproductive activities, and participate in the modulation of ovarian functions [14]. Xia et al found that IL-1β was increased in serum, and positively correlated with the incidence of PCOS [15]. Gallinelli et al reported that IL-12 was decreased in the follicular fluid of PCOS patients compared to controls, and the increased IL-13 was associated with the occurrence and development of PCOS [16].…”

Section: Introductionmentioning

confidence: 99%

Novel Serum Biomarkers Detected by Protein Array in Polycystic Ovary Syndrome with Low Progesterone Level

Zheng

Zhou

Cui

et al. 2018

Cell Physiol Biochem

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Background/Aims: Polycystic ovary syndrome (PCOS), characterized by female infertility and metabolic abnormalities, is one of the most common endocrine disorders. The etiology of PCOS remains unknown. The comprehensive analysis of protein alterations in PCOS patients is meaningful for identifying diagnostic biomarkers of PCOS. Here, we explored the clinical value of serum proteins as novel biomarkers to detect PCOS with low progesterone level. Methods: A total of 43 patients with PCOS and 30 healthy women were enrolled. Protein array was used to detect the variations of serum proteins between PCOS patients and healthy women. The level of five serum proteins was further confirmed by ELISA and western blot. The human ovarian granulosa cells (KGN) was cultured to examine the underlying mechanism of PCOS. CCK8 assay and western blot were carried out to evaluate the alterations in proliferative ability, TUNEL assay and DAPI staining to detect the apoptosis of KGN cells. Results: Among the 507 proteins, we identified 76 differentially expressed serum proteins (≧1.5 fold), with 40 elevated and 36 decreased proteins. Moreover, 47 proteins were newly reported in PCOS. The alterations in the five significantly decreased proteins (EREG, inhibin βA, IDE, PDGF-D and KNG1) were further confirmed by ELISA and western blot. The level of these proteins were directly associated with the low progesterone, and the expression could be upregulated by progesterone. EREG and inhibin βA also promoted the proliferation and inhibited the apoptosis of ovarian granulosa cells. Conclusion: The study highlights that serum proteins are differentially expressed in PCOS patients and healthy women, and EREG and inhibin βA levels are upregulated by progesterone, which are correlated with ovarian functions. The study suggests that EREG and inhibin βA may be applied as novel potential biomarkers for PCOS with low progesterone level.

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Correlation between IL-1β, IL-1Ra gene polymorphism and occurrence of polycystic ovary syndrome infertility

Abstract: T allele of the 511 site of IL-1β gene and V allele of the second introne of IL-1Ra gene might be the genetic basis of the rising of IL-1β, IL-1Ra and US-CRP levels in blood serum of PCOS patients, and are associated with the infertility occurrence of PCOS patients.

Cited by 21 publications

References 16 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

IL‐1 receptor antagonist levels are associated with glucose tolerance in polycystic ovary syndrome

Novel Serum Biomarkers Detected by Protein Array in Polycystic Ovary Syndrome with Low Progesterone Level

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