摘要
目的探讨转录因子叉头框蛋白O1(FOXO1)在多囊卵巢综合征(PCOS)患者卵巢颗粒细胞中的表达及意义。方法采用逆转录实时定量PCR(qRT-PCR)检测67例PCOS患者(PCOS组)与63例对照患者(对照组)卵巢颗粒细胞中FOXO1的表达,并分析其临床意义。结果PCOS组的体质量指数(BMI)、胰岛素抵抗指数(HOMA-IR)、黄体生成素(LH)、睾酮(T)、抗苗勒氏管激素(AMH)、卵巢基础卵泡数(AFC)明显高于对照组(P均<0. 05),但PCOS组的卵泡刺激素(FSH)低于对照组(P <0. 05)。与对照患者相比,FOXO1在PCOS患者卵巢颗粒细胞中的表达下降(P <0. 05)。采用二元Logistic回归分析发现,FOXO1、AFC、HOMA-IR是影响PCOS的危险因素(P <0. 05)。结论 FOXO1在PCOS患者卵巢颗粒细胞低表达,可能在PCOS的发生发展中发挥重要作用。
Objective To explore the expression and significance of Forkhead box protein O1(FOXO1)in ovarian granulosa cells of patients suffering from polycystic ovary syndrome(PCOS).Methods A total of 130 patients,including 67 PCOS patients and 63 controls,were enrolled.The expression of FOXO1 in ovarian granulosa cells was examined by realtime quantitative reverse transcription PCR(qRT-PCR),and the clinical significance was analyzed.Results PCOS patients had significantly higher body mass index(BMI),homeostasis model assessment-insulin resistance(HOMA-IR),luteotropic hormone(LH),testosterone(T),anti-Mullerian hormone(AMH),average follicle count(AFC)levels(all P<0.05),but lower FSH level(P<0.05)than controls.Compared with controls,the expression of FOXO1 was much lower in granulosa cells of PCOS patients(P<0.05).Binary Logistic regression analysis revealed that FOXO1,AFC and HOMA-IR were risk factors influencing the occurrence of PCOS(P<0.05).Conclusion The lower expression of FOXO1 in the granulosa cells of PCOS patients may play an important role in the occurrence and development of PCOS.
作者
贺婷婷
刘昕
刘洪彬
赵世刚
张秀清
刘庆庆
游力
石玉华
HE Tingting;LIU Xin;LIU Hongbin;ZHAO Shigang;ZHANG Xiuqing;LIU Qingqing;YOU Li;SHI Yuhua(Center for Reproductive Medicine,Shandong University,National Research Center for Assisted Reproductive Technology and Reproductive Genetics,The Key Laboratory of Reproductive Endocrinology(Shandong University),Ministry of Education,Shandong Provincial Clinical Medicine Research Center for Reproductive Health,Jinan 250001,Shandong,China)
出处
《山东大学学报(医学版)》
CAS
北大核心
2019年第2期75-79,共5页
Journal of Shandong University:Health Sciences
基金
国家重点研发计划(2017YFC1001004)
国家自然科学基金(81471428)
泰山学者工程专项经费(ts201712103)