解剖学报 ›› 2021, Vol. 52 ›› Issue (4): 499-505.doi: 10.16098/j.issn.0529-1356.2021.04.001

• 神经生物学 •    下一篇

侧脑室注射促性腺激素抑制激素/RF酰胺相关肽-3对卵巢摘除术后补充雌激素大鼠子宫腔液影响的蛋白质组学分析

赵雪莹1 司丽娜2 魏萌2 乔跃兵2 杨松鹤2* 程露阳1*
  

  1. 1.承德医学院免疫学教研室; 2.人体解剖学与组织学胚胎学教研室,河北 承德 067000
  • 收稿日期:2020-09-15 修回日期:2020-11-23 出版日期:2021-08-06 发布日期:2021-08-06
  • 通讯作者: 杨松鹤;程露阳 E-mail:78878722@qq.com
  • 基金资助:
    国家自然科学基金项目;河北省自然科学基金资助项目;河北省科学技术研究与发展计划项目;河北省高等学校科学研究项目;河北省高校重点学科

Proteomic analysis of uterine luminal fluid in ovariectomized estrogen primed rats with lateral cerebral ventricle injection of gonadotropin-inhibitory hormone/RF amide-related peptide-3

ZHAO Xue-ying1 SI Li-na2 WEI Meng2 QIAO Yue-bing2 YANG Song-he2* CHENG Lu-yang1*   

  1. 1.Department of Immunology; 2.Department of  Anatomy, Histology and Embryology, Chengde Medical University, Hebei Chengde 067000, China
  • Received:2020-09-15 Revised:2020-11-23 Online:2021-08-06 Published:2021-08-06
  • Contact: YANG Song-he;CHENG Lu-yang E-mail:78878722@qq.com

摘要:

目的 运用生物信息学方法分析侧脑室注射促性腺激素抑制激素(GnIH)/RF酰胺相关肽-3(RFRP-3)对卵巢摘除术补充雌激素 (OEP) 大鼠子宫腔液蛋白的影响,探索GnIH/RFRP-3影响子宫的分子机制。   方法  本研究通过液相色谱-串联质谱(LC-MS/MS)技术结合生物信息学分析侧脑室微量注射GnIH对OEP模型大鼠(n=30)子宫腔液蛋白的影响。比较侧脑室注射GnIH/RFRP-3实验组(n=15,给予2 g/L RFRP-3,16 μl/kg)与生理盐水对照组(n=15,给予生理盐水16 μl/kg)6 h后子宫腔液的蛋白质组分,利用UniProt数据库筛选差异蛋白并对所得差异蛋白进行基因本体论(GO)富集分析和京都基因与基因百科全书(KEGG)通路分析。从STRING 数据库获得蛋白相互作用数据,利用Cytoscape 3.7.1软件构建蛋白相互作用网络(PPI)并筛选中心节点蛋白。  结果  应用LC-MS/MS技术所得质谱数据利用UniProt数据库进行搜索鉴定,筛选出差异蛋白419个,其中279个上调,138个下调;GO功能富集分析显示,差异蛋白主要富集于对有机物质的反应,对内源性刺激的反应,对含氧化合物的反应等生物过程;KEGG通路分析显示,差异蛋白在糖酵解、碳代谢、肌动蛋白骨架调节、甲状腺激素合成等代谢途径富集(P<0.05);分析蛋白相互作用网络获得5个中心节点蛋白:白蛋白(Alb)、α-烯醇化酶1(Eno1)、过氧化物酶6(Prdx6)、组织型基质金属蛋白酶抑制剂1(Timp1)、Ras相关C3肉毒素底物1 (Rac1)。   结论  本实验结果提示,GnIH可能通过下丘脑-垂体生殖轴调节子宫腔液蛋白的分泌,并可能通过上调Alb、Eno1和Prdx6,下调Timp1和Rac1,调节子宫生理及病理过程。

关键词: 促性腺激素释放激素, 子宫腔液, 卵巢摘除术, 补充雌激素, 生物信息学, 大鼠

Abstract:

Objective To explore the roles and effects of gonadotropin inhibitory hormone gonadotropin-inhibitory hormone (GnIH)/RF amide-related peptide-3 (RFRP-3) on the uterus through the hypothalamic-pituitary reproductive axis.    Methods  Ovariectomized estrogen primed (OEP) rats model was divided into GnIH injection group and normal saline injection group with 15 rats in each group, 2 g/L GnIH (16 μl/kg) and normal saline (16 μl/kg) were injected into the lateral ventricle of rats in the 2 groups respectively. 6 hours after injection, the uterine fluid of rats was obtained. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to separate the differential proteins in uterine fluid and UniProt was used to identify. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed, and the proteinprotein interaction (PPI) network of the differentially expressed proteins was constructed using Cytoscape 3.7.1 software. Hub proteins were detected from PPI network.    Results  The result  showed that the differentially expressed proteins separating by LC-MS/MS were 419 identified by UniProt. Among them, 279 were up-regulated and 138 were down-regulated. GO analysis showed that the differentially expressed proteins were mainly involved in response to organic substance, response to oxygen-containing compound, response to endogenous stimulus, response to stress. The top five enriched pathways obtained in the KEGG pathway analysis (P<0.05) were carbon metabolism, gap junction, long-term depression, regulation of actin cytoskeleton, biosynthesis of amino acids. Five hub proteins involved albumin(Alb),alpha-enolase 1(Eno1), peroxiredoxin-6 (Prdx6), tissue inhibitor of matrix metalloproteinases-1(Timp1), Ras-related C3 botulinum toxin substrate 1 (Rac1) were obtained by analyzing PPI network.    Conclusion  The result  of this study indicate that GnIH may regulate the secretion of uterine cavity fluid protein through hypothalamic-pituitary reproductive axis. And regulate the physiological and pathological process of uterus by up-regulating Alb, Eno1, Prdx6 and down-regulating Timp1 and Rac1. 

Key words: Gonadotropin-inhibitory hormone, Uterine fluid, Ovariectomy, Primed estrogen, Bioinformatics, Rat

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