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Cationic antimicrobial peptides are being developed as a promising class of antimicrobial sub-stances. The introduction of a new antibiotic component requires a comprehensive study of its properties so that it can be relied upon to continue laboratory procedures and clinical trials on laboratory animals or human volunteers. Antimicrobial activity of buforin I was evaluated against 15 of the most important pathogenic bacterial and fungal strains. This was followed by assessing anti-biofilm activity, time-dependent inhibitory, thermal stability, plas-ma stability, hemolysis, and cytotoxic activities. The range of obtained MICs was between 4 and 16 μg/mL. The most resistant and most sensitive microbial strains were S. salivarius and C. perfringens, respectively. Buforin I not only inhibited biofilm formation, but also showed a high biofilm radiation activity. Buforin I was stable in human plasma and also at different temperatures including 40, 60, and 80 °C. Although no significant anti-cancer properties were observed for buforin I, the lack of cytotoxicity as well as the lack of hemolytic activity confirm its safety. The high therapeutic index indicated that buforin I has a considerable pharmaceutical potential and can be a reasonable candidate to replace antibiotics or administered in combination with antibiotics to increase the effectiveness as well as reduce the dose of antibiotics.

Human T-cell lymphotropic virus (HTLV-1) and bovine leukemia virus (BLV) are oncogenic deltaretroviruses, which are the cause of adult T cell leukemia/lymphoma (ATLL) and enzootic bovine leukosis (EBL), respectively. In this study, to evaluate the virus-host interactions in the manifestation of the associated malignancy, four pooled RNA samples of each host (three RNAs in each sample) were applied to RNA-seq. Differential expression analyses were conducted separately between ATLL and EBL groups, in comparison with the healthy group, to identify functional Gene Ontology (GO) terms and hub genes, using DAVID database and MCODE plugin in Cytoscape software, respectively. A broad range of effective genes, involved in the ATLL and EBL, was up- and downregulated. In the virus side, in both malignancy, Tax was expressed very low, but the HTLV-1-HBZ and BVL-As2 transcripts were highly expressed. Some upregulated hub genes, IL2, TOP2A, MKI67, TP73, MYC, and downregulated FOS gene family (FOS, FOSB, and FOSL2), are similarly activated in both human and bovine hosts, in related cell cycle and growth factors. Taken together, it seems that in preventing the infections and cell transformations, Tax must be targeted as a viral factor, and shared peptide in virological and immunological synapses as host factors. Therefore, in the malignant stages, HBZ and As2 transcripts along with growth factors, particularly IL-2R-γ and T-bet or TOP2A, and MKI67 should be targeted in both hosts. Additional studies at the protein level are necessary to elucidate the more useful targets for the therapy of these life-threatening diseases.

Mastitis is one of the costliest diseases in dairy farms caused by infection of different microorganisms such as Escherichia coli, Streptococcus uberis and Staphylococcus aureus. Promoters are significantly involved in regulating gene expression and shedding light on the mechanisms of transcriptional regulation in physiological and immunological processes of the infections. Exploiting regulatory elements such as transcription factor binding sites (TFBSs modules) on the promoter region could reveal co-regulated genes, which allow screating regulatory models and executing a cross-sectional analysis on several databases. In this study, the promoter regions of 11 genes associated with contagious mastitis including CCL4, CXCL8, STAT3, IKBKB, MAPK14, NFKBIA, NFKB1, TNF, IL18, IL6, and HCK were investigated to predict the activating regulatory modules on promoters and to discover the key related transcription factors. By exploring the promoter regions, 228 genes were discovered comprising the same transcription factors modules. Out of 228 genes, 36 were validated using five microarray datasets. The promoter research of these genes revealed that as many as 7 down-regulated and 12 up-regulated genes are predictable in the network. The genes whose functions were associated with the initial gene list (11 genes), were identified by DAVID queries with TFBSs models implying that the approach provides a clear image of the underlying regulatory mechanism of gene expression profile and offers a novel approach in designing gene networks in cattle.