Literature DB >> 20576636

Cytokine and hormonal profile in serum samples of patients undergoing controlled ovarian stimulation: interleukin-1beta predicts ongoing pregnancy.

T C S Bonetti1, R Salomao, M Brunialti, D P A F Braga, E Borges, I D C G Silva.   

Abstract

BACKGROUND: Changes in the endometrium are not regulated exclusively by ovarian hormones; the immune system has also been implicated in normal endometrial function, similar to processes taking place during inflammatory and reparative path. Many cytokines are crucially important for reproductive processes, and the role of cytokines in the female reproductive system function has been broadly investigated during controlled ovarian stimulation (COS) for IVF attempts. The aim of this study was to evaluate the levels of serum cytokines and hormones, and the clinical outcomes of women who underwent COS and ICSI procedures.
METHODS: The study prospectively included 96 patients (aged 22-43 years, unexplained or male infertility, n = 61; female infertility factors, n = 35) who underwent ICSI cycles. Serum levels of interleukin (IL-8, IL-6, IL-1beta, IL-10, IL-12), tumour necrosis factor and leukaemia-inhibitory factor (LIF) and the hormones FSH, estradiol, progesterone, anti-Mullerian hormone and Inhibin-B were measured on the day of oocyte retrieval.
RESULTS: The ongoing pregnancy rate was 25.3%. The presence of serum IL-1beta positively affected the implantation rate (P = 0.004) and increased the chance of becoming pregnant by 15 fold. Furthermore, the percentage of patients with detectable serum IL-1beta levels who conceived (62.5%) was higher than those who failed to conceive (37.5%; P = 0.019). The LIF was undetectable in all serum samples, and no other factors influenced the clinical outcomes of patients undergoing ICSI cycles.
CONCLUSIONS: Our findings revealed that detectable serum levels of IL-1beta on the day of oocyte retrieval in patients undergoing COS and ICSI are predictive of successful implantation and ongoing pregnancy.

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Year:  2010        PMID: 20576636     DOI: 10.1093/humrep/deq171

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  7 in total

1.  Association of IL-1β, IL-1Ra and FABP1 gene polymorphisms with the metabolic features of polycystic ovary syndrome.

Authors:  Nadia Rashid; Aruna Nigam; Pikee Saxena; S K Jain; Saima Wajid
Journal:  Inflamm Res       Date:  2017-04-12       Impact factor: 4.575

2.  Pregnancy-induced gingivitis and OMICS in dentistry: in silico modeling and in vivo prospective validation of estradiol-modulated inflammatory biomarkers.

Authors:  Mervi Gürsoy; Fares Zeidán-Chuliá; Eija Könönen; José C F Moreira; Joonas Liukkonen; Timo Sorsa; Ulvi K Gürsoy
Journal:  OMICS       Date:  2014-07-01

3.  Neddylation Inhibition Causes Impaired Mouse Embryo Quality and Blastocyst Hatching Failure Through Elevated Oxidative Stress and Reduced IL-1β.

Authors:  Guangping Yang; Jianhua Chen; Yanni He; Hui Luo; Hongxia Yuan; Liangliang Chen; Lingli Huang; Fei Mao; Saifei Hu; Yun Qian; Congxiu Miao; Ruizhi Feng
Journal:  Front Immunol       Date:  2022-07-04       Impact factor: 8.786

4.  Using bioinformatics and metabolomics to identify altered granulosa cells in patients with diminished ovarian reserve.

Authors:  Ruifen He; Zhongying Zhao; Yongxiu Yang; Xiaolei Liang
Journal:  PeerJ       Date:  2020-08-28       Impact factor: 2.984

5.  Pregnancy outcomes in women with repeated implantation failures after intracytoplasmic morphologically selected sperm injection (IMSI).

Authors:  João Batista A Oliveira; Mario Cavagna; Claudia G Petersen; Ana L Mauri; Fabiana C Massaro; Liliane F I Silva; Ricardo L R Baruffi; Jose G Franco
Journal:  Reprod Biol Endocrinol       Date:  2011-07-22       Impact factor: 5.211

6.  Effects of acupuncture on Th1, th2 cytokines in rats of implantation failure.

Authors:  Juan Gui; Fan Xiong; Jing Li; Guangying Huang
Journal:  Evid Based Complement Alternat Med       Date:  2012-01-23       Impact factor: 2.629

Review 7.  Potential genetic polymorphisms predicting polycystic ovary syndrome.

Authors:  Yao Chen; Shu-Ying Fang
Journal:  Endocr Connect       Date:  2018-04-05       Impact factor: 3.335

  7 in total

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