Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran.
Sci Rep. 2021 Sep 10;11(1):18050. doi: 10.1038/s41598-021-97319-y.
In dairy cattle, endometritis is a severe infectious disease that occurs following parturition. It is clear that genetic factors are involved in the etiology of endometritis, however, the molecular pathogenesis of endometritis is not entirely understood. In this study, a system biology approach was used to better understand the molecular mechanisms underlying the development of endometritis. Forty transcriptomic datasets comprising of 20 RNA-Seq (GSE66825) and 20 miRNA-Seq (GSE66826) were obtained from the GEO database. Next, the co-expressed modules were constructed based on RNA-Seq (Rb-modules) and miRNA-Seq (mb-modules) data, separately, using a weighted gene co-expression network analysis (WGCNA) approach. Preservation analysis was used to find the non-preserved Rb-modules in endometritis samples. Afterward, the non-preserved Rb-modules were assigned to the mb-modules to construct the integrated regulatory networks. Just highly connected genes (hubs) in the networks were considered and functional enrichment analysis was used to identify the biological pathways associated with the development of the disease. Furthermore, additional bioinformatic analysis including protein-protein interactions network and miRNA target prediction were applied to enhance the reliability of the results. Thirty-five Rb-modules and 10 mb-modules were identified and 19 and 10 modules were non-preserved, respectively, which were enriched in biological pathways related to endometritis like inflammation and ciliogenesis. Two non-preserved Rb-modules were significantly assigned to three mb-modules and three and two important sub-networks in the Rb-modules were identified, respectively, including important mRNAs, lncRNAs and miRNAs genes like IRAK1, CASP3, CCDC40, CCDC39, ZMYND10, FOXJ1, TLR4, IL10, STAT3, FN1, AKT1, CD68, ENSBTAG00000049936, ENSBTAG00000050527, ENSBTAG00000051242, ENSBTAG00000049287, bta-miR-449, bta-miR-484, bta-miR-149, bta-miR-30b and bta-miR-423. The potential roles of these genes have been previously demonstrated in endometritis or related pathways, which reinforced putative functions of the suggested integrated regulatory networks in the endometritis pathogenesis. These findings may help further elucidate the underlying mechanisms of bovine endometritis.
在奶牛中,子宫内膜炎是一种产后发生的严重传染病。显然,遗传因素与子宫内膜炎的病因有关,但子宫内膜炎的分子发病机制尚不完全清楚。在这项研究中,采用系统生物学方法来更好地了解子宫内膜炎发展的分子机制。从 GEO 数据库中获得了 40 个转录组数据集,包括 20 个 RNA-Seq(GSE66825)和 20 个 miRNA-Seq(GSE66826)。接下来,分别使用加权基因共表达网络分析(WGCNA)方法,基于 RNA-Seq(Rb 模块)和 miRNA-Seq(mb 模块)数据构建共表达模块。采用保存分析来寻找子宫内膜炎样本中未保存的 Rb 模块。然后,将未保存的 Rb 模块分配给 mb 模块以构建整合调控网络。仅考虑网络中的高连接基因(枢纽),并进行功能富集分析以确定与疾病发展相关的生物学途径。此外,还应用了其他生物信息学分析,包括蛋白质-蛋白质相互作用网络和 miRNA 靶预测,以提高结果的可靠性。鉴定出 35 个 Rb 模块和 10 个 mb 模块,分别有 19 个和 10 个模块未保存,它们富集在与子宫内膜炎相关的生物学途径中,如炎症和纤毛发生。两个未保存的 Rb 模块被显著分配到三个 mb 模块,并且在 Rb 模块中鉴定出三个和两个重要的子网,分别包括 IRAK1、CASP3、CCDC40、CCDC39、ZMYND10、FOXJ1、TLR4、IL10、STAT3、FN1、AKT1、CD68、ENSBTAG00000049936、ENSBTAG00000050527、ENSBTAG00000051242、ENSBTAG00000049287、bta-miR-449、bta-miR-484、bta-miR-149、bta-miR-30b 和 bta-miR-423。这些基因在子宫内膜炎或相关途径中的潜在作用先前已经得到证实,这增强了所提出的整合调控网络在子宫内膜炎发病机制中的推定功能。这些发现可能有助于进一步阐明牛子宫内膜炎的潜在机制。