Candidate Drugs Screening for Behcet's Disease Based on Bioinformatics Analysis and Mouse Experiments.

Background: Behcet's disease (BD) is a chronic immune disease that involves multiple systems. As the pathogenesis of BD is not clear, and new treatments are needed, we used bioinformatics to identify potential drugs and validated them in mouse models. Methods: Behcet's disease-related target genes and proteins were screened in the PubMed and UVEOGENE databases. The biological functions and pathways of the target genes were analyzed in detail by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was constructed by the STRING database, and hub genes were identified by the Cytoscape plug-in CytoHubba. Gene-drug interactions were identified from the DGIdb database. Experimental autoimmune uveitis (EAU) mice were used as an animal model for drug validation. Results: A total of 249 target genes and proteins with significant differences in BD were screened, and the results of functional enrichment analysis suggested that these genes and proteins were more located on the cell membrane, involved in regulating the production of cytokines and affecting the activity of cytokines. They mainly regulated "Cytokine- Cytokine receptor interaction", "Inflammatory bowel disease (IBD)" and "IL-17 signaling Pathway". In addition, 10 hub genes were obtained through PPI network construction and CytoHubba analysis, among which the top 3 hub genes were closely related to BD. The DGIdb analysis enriched seven drugs acting together on the top 3 hub genes, four of which were confirmed for the treatment of BD or its complications. There is no evidence in the research to support the results in omeprazole, rabeprazole, and celastrol. However, animal experiments showed that rabeprazole and celastrol reduced anterior chamber inflammation and retinal inflammation in EAU mice. Conclusions: The functional analysis of genes and proteins related to BD, identification of hub genes, and validation of potential drugs provide new insights into the disease mechanism and potential for the treatment of BD.

Determination of uterine bacterial community in postpartum dairy cows with metritis based on 16S rDNA sequencing.

Metritis is a frequently occurring diseases in postpartum cows and is one of the important reasons for the infertility of dairy cows, accounting for 20-30% of dairy cow diseases and has serious implications for the dairy industry. It has been reported in the literature that the bacterial balance of genital tracts is directly related to the maintenance of physiological function and the development of various diseases of the reproductive system. By analyzing the changes in abundance and diversity of bacteria in the cow uterus from 1 to 35 days postpartum, the objective was to reveal the mechanism of metritis in cows and provide the basis for diagnosis, treatment and prevention of metritis in postpartum dairy cows. Uterine contents were taken from six cows (three healthy and three with metritis) on 1, 7, 14, 21 and 35 days after parturition. DNA genomes extracted from the samples were primed with 515F5'-GTGCCAGCMGCCGCGG-3' and 907R5'-CCGTCAATTCMTTRAGTTT-3' for PCR amplification of the V4+V5 regions of the 16S rDNA genes and construction of a gene library. The sequence of the bacterial structure of the cow uterine contents was analyzed using 16S rDNA high-throughput sequencing technology. A total of 30 samples were tested by PCR, and 29 samples qualified. The results of cluster analysis showed that except for one sample, the number of OTUs in the healthy cows was above 200, while in the cows with metritis, except for three samples, OTUs were below 200. The Chao1 and Shannon indices showed that the abundance of bacteria in the cow uterus was lower than that of healthy cows. Analysis of the relative abundance of bacteria in the cow uterus showed that there were six phyla present, including Bacteroidetes, Firmicutes, Fusobacteria, Proteobacteria, Actinobacteria and Tenericutes. There were 10 dominant genera in healthy cows, including Bacteroides, Clostridium sensu stricto 1, Escherichia-Shigella, Fusobacterium, Halomonas, Helcococcus, Porphyromonas, Prevotella 6, Rikenellaceae RC9 gut group and Streptococcus. There were nine dominant genera in cows with metritis, including Bacteroides, Caviibacter, Clostridium sensu stricto 1, Falsiporphyromonas, Fusobacterium, Halomonas, Helcococcus, Porphyromonas and Prevotella 7. Phylogenetic tree analysis showed that uterine contents from 29 samples could be separated into two clusters. Eleven samples from the cows with metritis were clustered with one sample from the healthy group, and 13 samples from the healthy cows were clustered together with four samples from the metritis group. Principal co-ordinate analysis showed that the points representing healthy cows and those representing the metritis group were concentrated in two distinct regions, which shows that there were significant differences in the structure evolution between healthy cows and cows with metritis. The above results indicate that bacterial diversity declines with time postpartum in healthy cows and is lower in cows with metritis, with characteristic changes in the relative abundances, including increases in Bacteroidetes and Fusobacteria, decreases in Firmicutes and Proteobacteria, increases in Porphyromonas, Bacteroides and Fusobacterium, and a decrease in Clostridium sensu stricto 1.

Characterization of the cervical bacterial community in dairy cows with metritis and during different physiological phases.

For the development of disease prevention and intervention strategies, a better understanding of the dynamics and interactions within cervical bacterial communities in both healthy cows and cows with metritis is required. Understanding the complexity and ecology of microorganisms in the vagina of dairy cows with metritis and during different physiological phases is critical for developing strategies to balance microorganism content. To gain deeper insight into fluctuations within the cervical microbiota, swab samples were collected from 40 Holstein dairy cows, and16S rDNA amplicon sequencing was used to analyze cervical bacterial diversity. Meanwhile, vaginal bacterial composition was analyzed during different physiological phases, including the formative (CF), gestational (CG), and postpartum (CP) stages, and in cows with metritis (CM). The results revealed a complex profile with extensive differences in the cervical bacterial composition. A total of 678,043clean 16S rDNA V4-V6 reads were gained, and 1877 Operational Taxonomic Units (OTUs) were observed after calculation. At both the phylum and genus levels, the top 10 bacteria by percentage were the same when comparing the CF, CG, and CP groups of cows, with some variation in abundance. At the phylum level, the cervical microbial community in the CF, CG, and CP groups included mainly Firmicutes, which accounted for 39.3%, 48.3%, and 49.6% of the total microbial composition of each group, respectively. However, the cervical bacterial community in the CM group consisted of mostly Bacteroidetes, which accounted for 72.6% of the total microbial composition. The second major bacterial community in the CF and CG groups of cows was Proteobacteria, which accounted for 28.3%and 30.1% of the total microbial compositions of these groups, respectively, while the second major bacterial community in the CP group was Bacteroidetes (23.5%). However, in the CM group, the second major bacterial community was Fusobacteria, which accounted for18.0% of the total microbial composition. At the genus level, the cervical bacterial community in the CM group of cows was dominated by Porphyromonas(44.4%) and Fusobacterium(12.1%), while Porphyromonas accounted for only 1.3%, 1.1%, and 1.4% of the total microbial compositions of the CF, CG, and CP groups, respectively. Likewise, Fusobacterium accounted for 2.3%, 0.7%, and 4.7% of the total microbial compositions of the CF, CG, and CP groups, respectively. The results demonstrate that cervical bacterial diversity decreases in cows with metritis and that the predominant bacterial genera are Porphyromonas and Fusobacterium. Cervical bacterial diversity was rich in all observed physiological phases, and the predominant bacterial phylum was Firmicutes. Pregnancy had little effect on the cervical bacterial community; however, there were increases in the abundances of pathogenic species in postpartum cows. Cervical bacterial diversity decreased in cows with metritis, however, due to the highly dynamic and complex course of metritis, the relationship between cervical bacterial diversity and metritis requires further investigation.