期刊论文详细信息
REPRODUCTIVE BIOMEDICINE ONLINE 卷:43
The follicular fluid adipocytokine milieu could serve as a prediction tool for fertility treatment outcomes
Article
Wyse, Brandon A.1  Weizman, Noga Fuchs1  Defer, Miranda1  Montbriand, Janice2  Szaraz, Peter1  Librach, Clifford1,3,4,5 
[1] CReATe Fertil Ctr, Toronto, ON, Canada
[2] Sunnybrook Hlth Sci Ctr, Dept Anaesthesia, Toronto, ON, Canada
[3] Univ Toronto, Dept Obstet & Gynaecol, Toronto, ON, Canada
[4] Univ Toronto, Dept Physiol, Toronto, ON, Canada
[5] Univ Toronto, Inst Med Sci, Toronto, ON, Canada
关键词: Adipocytokines;    ART outcomes;    Assisted reproductive technology;    Body mass index;    Obesity;    Proinflammatory cytokines;   
DOI  :  10.1016/j.rbmo.2021.07.001
来源: Elsevier
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【 摘 要 】

Research question: Can the adipocytokine milieu of the follicular niche improve the ability to predict treatment outcomes in infertile patients? Design: Follicular fluid samples from overweight patients were analysed and compared with samples from matched normal-weight patients. Concentrations of adiponectin, chemerin, C-reactive protein, interleukin-6 (IL-6), IL-10, IL-18, insulin, leptin, prolactin, resistin, tumour necrosis factor alpha (TNF-alpha) and bone morphogenetic protein-15 (BMP-15) were assessed by multiple magnetic bead immunoassay (MMBI) and enzyme-linked immunosorbent assay and correlated with fertility treatment outcomes. Results: Analysis of samples from 22 overweight and 22 normal-weight patients demonstrated that TNF-alpha can predict oocyte maturation rate. When stratified by body mass index (BMI), IL-10 emerges as a better predictor of oocyte maturation in normal-weight patients. Prolactin was a negative predictor for fertilization rate in the full cohort, and this prediction power was lost upon stratification. No adipocytokines were predictive of blastulation rate, and only age remained predictive. BMP-15 was a strong predictor of high-quality blastulation in the full cohort, more so in the normal-weight population. Conclusions: The adipocytokine milieu of the follicular fluid provides a snapshot of the growing oocyte's environment and can help predict fertility treatment outcomes, fine-tuning understanding of the dysregulation caused by increasing BMI. Inflammatory cytokines can predict oocyte maturation; prolactin, oocyte competence; and BMP-15, high-quality blastulation. Further analysis of these findings with a larger sample size and assessing individual oocytes will help shed more light on the clinical significance of these findings.

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