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卵泡液脂肪细胞因子微环境可以作为预测生育治疗结果的工具。

The follicular fluid adipocytokine milieu could serve as a prediction tool for fertility treatment outcomes.

机构信息

CReATe Fertility Centre, Toronto Ontario, Canada.

CReATe Fertility Centre, Toronto Ontario, Canada.

出版信息

Reprod Biomed Online. 2021 Oct;43(4):738-746. doi: 10.1016/j.rbmo.2021.07.001. Epub 2021 Jul 15.

Abstract

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-α) 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-α 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.

摘要

研究问题

卵泡微环境中的脂肪细胞因子能否提高预测不孕患者治疗结局的能力?

设计

分析超重患者的卵泡液样本,并与匹配的正常体重患者的样本进行比较。采用多磁珠免疫分析(MMBI)和酶联免疫吸附试验检测脂联素、趋化素、C 反应蛋白、白细胞介素-6(IL-6)、白细胞介素-10(IL-10)、白细胞介素-18(IL-18)、胰岛素、瘦素、催乳素、抵抗素、肿瘤坏死因子-α(TNF-α)和骨形态发生蛋白-15(BMP-15)的浓度,并将其与生育治疗结局相关联。

结果

对 22 名超重和 22 名正常体重患者的样本进行分析表明,TNF-α可预测卵母细胞成熟率。按体重指数(BMI)分层时,IL-10 成为正常体重患者卵母细胞成熟的更好预测因子。催乳素是整个队列受精率的负预测因子,而分层后这种预测能力丧失。没有脂肪细胞因子可预测囊胚形成率,只有年龄仍然具有预测性。BMP-15 是整个队列高评分囊胚形成的强预测因子,在正常体重人群中更为明显。

结论

卵泡液中的脂肪细胞因子提供了正在生长的卵母细胞环境的快照,可以帮助预测生育治疗结局,更精细地了解 BMI 增加引起的失调。炎性细胞因子可预测卵母细胞成熟;催乳素,卵母细胞功能;BMP-15,高质量囊胚形成。进一步用更大的样本量分析这些发现,并评估单个卵母细胞,将有助于更深入地了解这些发现的临床意义。

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