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.
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.
View Article and Find Full Text PDFFor 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.
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