Identification of common differential genes in three animal models of diabetic nephropathy
10.16571/j.cnki.1008-8199.2020.02.002
- VernacularTitle: 3种糖尿病肾病动物模型的共同差异基因筛选
- Author:
Hai-lan HE
1
;
Le-kai LIU
1
;
Hao-jun ZHANG
2
;
Rui-lian LIU
1
;
Bao-jia LI
1
;
Zhi-guo LI
1
Author Information
1. School of Public Health, North China University of Science and Technology, Tangshan 063210, Hebei, China
2. Institute of Clinical Medicine, ChinaJapan Friendship Hospital, Beijing 100029, China
- Publication Type:Journal Article
- Keywords:
diabetic nephropathy;
bioinformatics;
differentially expressedgenes
- From:
Journal of Medical Postgraduates
2020;33(2):117-121
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveAnimal model is an important means to study the pathogenesis and drug therapy of diabetic nephropathy. In this paper, the techniques of bioinformatics were used to analyze the common susceptibility genes and pathways in the kidneys of three diabetic nephropathy animal models of BKS db/db, BKS eNOS-/db/db and DBA-STZ3, so as to discover new and important genes and pathways, thus providing new ideas for the study of the pathogenesis of diabetic nephropathy.MethodsThe GSE33744 dataset was downloaded from the GEO database, and the differential genes of three animal models of diabetic nephropathy were analyzed by Limma package in R language. The genes differentially expressed in all models were obtained by intersection, and were then analyzed by GO, KEGG and PPI networks and screened for key genes and pathways.Results144 genes were differentially expressed in three animal models of diabetic nephropathy. GO analysis showed that these genes were enriched in the cell membrane and extracellular regions; in biological processes such as innate immune response, oxidation-reduction process and immune system process; and in molecular functions such as oxidoreductase activity, carbohydrate binding and heme binding. KEGG analysis indicated that the differential genes were enriched in signaling pathways such as PPAR signaling pathway, arachidonic acid metabolism, butyric acid metabolism and circadian rhythm. PPI network analysis suggested that Cd68, Ccl6, Fcer1g, Tyrobp, Clec4n, Lyz2, Ms4a6d, Ly86, Ctss, Cfp and Mpeg1 may be the key genes in the development of diabetic nephropathy.ConclusionSome genes and signaling pathways are altered in multiple kidneys of the diabetic animal models, suggesting that these genes and pathways play an important role in the pathogenesis of diabetic nephropathy.
