Objective To establish a spontaneous abortion rat model for a syndrome in traditional chinese medicine, kidney deficiency, and observe the changes of physiological indicators and related cytokine expression in the model. Methods 40 female and 20 male rats were used in this study. The female and male rats were mated (mating ratio 2:1). The day of vaginal smear with a large number of sperm was considered as the first day of pregnancy. The rats were randomly divided into control group and model group. The model group received 450 mg/kg hydroxyurea every day. Mifepristone was given on the eighth day in a dose of 3.75 mg/kg. The diet amount, the diameter index of kidney, ovary and embryos were analyzed. The mRNA expression of Th1/Th2 cytokine was detected by RT-PCR, and the expression of co-stimulating factors CD80, CD86, CD28, CTLA-4 were determined by flow cytometry.Results Comparing the model group with control group on the eighth day, there were significant differences between the model and control groups in quantity of food and water intake, and weight increase (P<0.05), and also in the embryonic diameter index, average of abortion rate, Th1/Th2 type cytokines, co-stimulating factor CD80, CD86, CD28, and CTLA-4 (P<0.05). Conclusion A rat model of spontaneous abortion due to kidney deficiency can be successfully established with hydroxyurea and mifepristone. The high expression of Th1 (TNF-α, IFN-γ) may cause abortion and be harmful to pregnancy. Th2 type (IL-4, IL-10) may facilitate pregnancy. The expression co-stimulating factor CD80, CD86, CD28, CTLA-4 may be relevant to the spontaneous abortion.

Breeding and quality control of SPF nude mice involves many links and works .The quality and quantity of animals are directly affected by breeding management and quality control .A standardized breeding system of SPF BALB/c nude mice were gradually established at the center after 2007.This paper introduces specific practices and experience in facilities, stock, breeding management , and quality control of SPF BALB/c nude mice, in order to provide the reference for related breeding and study in SPF BALB/c nude mice.

Objective This study aims to investigate the role of genes related to fatty acid metabolism in periodon-titis through machine learning and bioinformatics methods.Methods Periodontitis datasets GSE10334 and GSE-16134 were downloaded from the GEO database,and the fatty acid metabolism-related gene sets were obtained from the GeneCards database.Differentially expressed fatty acid metabolism-related genes(DEFAMRGs)in periodontitis were screened using the"limma"R package.Functional enrichment and pathway analyses were conducted.Recursive Feature Elimination,Least Absolute Shrinkage and Selection Operator,and Boruta algorithm were used to determine hub DEFAMRGs and construct diagnostic models with internal and external validation.Subtypes of periodontitis relat-ed to hub DEFAMRGs were constructed using consis-tency clustering analysis.CIBERSORT was used to ana-lyze immune cell infiltration in gingival tissues and ex-plore the correlation between hub DEFAMRGs and im-mune cells.Results A total of 113 periodontitis DE-FAMRGs were screened out as a result.The enrichment analysis results indicate that DEFAMRGs are mainly associat-ed with immune inflammatory responses and immune cell chemotaxis.Finally,8 hub DEFAMRGs(BTG2,CXCL12,FABP4,CLDN10,PPBP,RGS1,LGALSL,and RIF1)were identified and a diagnostic model(AUC=0.967)was con-structed,based on which periodontitis was divided into two subtypes.In addition,there is a significant correlation be-tween hub DEFAMRGs and different immune cell populations,with mast cells and dendritic cells showing higher cor-relation.Conclusion This study provides new insights and ideas for the occurrence and development mechanism of periodontitis and proposes a diagnostic model based on hub DEFAMRGs to provide new directions for diagnosis and treatment.