Tilmicosin, an antibiotic widely used in animal husbandry to prevent and treat bacterial infections, raises concerns due to its residual accumulation, which impacts both animal health and food safety. In this study, we conducted a comprehensive analysis of tilmicosin clearance patterns in different tissues, assessed physiological impacts through blood biochemistry, and investigated changes in gut microbial composition with 16S rRNA sequencing of the tilmicosin-treated Silkie chickens. Initially, we observed rapid peaks in tilmicosin residues in all tissues within 1 day after treatment, but complete metabolism took longer, extending beyond 9 days. Moreover, tilmicosin treatment significantly decreased serum levels of total bile acid, blood urea nitrogen, and uric acid, while increasing the levels of direct bilirubin, total bilirubin, and glutathione peroxidase at day 3, followed by a decrease from day 5 onwards. The effects of tilmicosin use on microbial composition and diversity lasted for an extended period, with the relative abundance of Proteobacteria remaining significantly different between the control and tilmicosin-treated groups at 120 days. Additionally, correlation analysis revealed a strong positive correlation between Mucispirillum_schaedleri and tilmicosin residue in all tissues, while Parabbacteroide_distasonis, Faecalibacterium_prausnitzii, and others exhibited negative correlations with tilmicosin residue. Overall, our study indicates a significant correlation between intestinal microbes and antibiotic residues, providing a theoretical basis for guiding the withdrawal period after antibiotic use.
Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry.
Immune thrombocytopenic purpura (ITP) is an autoimmune disorder, and recent research suggests that gut microbiota and inflammatory cytokines may play a significant role in its pathogenesis. However, the specific effects of these factors on ITP and their relationships remain unclear. We conducted a two-step, two-sample Mendelian randomization study using an inverse variance-weighted approach to investigate the causal role of the gut microbiota in ITP and the mediating effect of inflammatory cytokines on their association. The results showed that among the 473 gut microbiota species, 11 were positively associated and 12 were negatively associated with the risk of ITP. Among the 91 screened inflammatory cytokines, five (CXCL10, CXCL5, IL-12RA, TRAIL, and VEGF-A) were found to have a causal relationship with ITP. Mediation analysis revealed that the gut microbiota UBA1066 promoted the occurrence of ITP through CXCL10 mediation, with a mediation effect of 0.118932 (95% CI: 0.049471-0.188393) accounting for 9.95% of the total effect. Gut microbiota Treponema promoted ITP through VEGF-A mediation, with a mediation effect of 0.045873 (95% CI: 0.01456-0.07718) accounting for 4.28% of the total effect. Gut microbiota Haloplasma promoted the occurrence of ITP via CXCL5. The mediating effect of CXCL5 was 0.038409 (95% CI = 0.00107718-0.07575082), with a mediating ratio of 16.79%. This study revealed a causal relationship between gut microbiota composition and ITP risk, highlighting three inflammatory cytokines as potential causal mediators of this relationship. These findings provide potential targets and biomarkers for the prevention and treatment of ITP with significant clinical implications.
In recent years a lot of work have been focused on nutrition requirement for meat-purpose and Angora rabbits and remarkable achievement has been got. In recent year some feeding standards for meat rabbit have been presented and played important role in meat and Angora rabbit production. However, systematic approaches to nutrition requirement for fur purpose rabbit is rather limited. At this situation though standards for meat and Angora rabbit are taken as reference in fur-purpose rabbit production, it is far to meet the quality and efficiency goals. In present experiment, 72 Rex rabbits at the age of 100 day were applied to study energy and crude protein requirements for growth. Four groups were designed as: Group 1 high-energy high-protein diet (DE 11.17MJ/Kg, CP 18.44%); Group 2 high-energy medium-protein diet (DE 10.98MJ/Kg, CP 16.29%); Group 3 low-energy high-protein diet (DE 10.53MJ/Kg, CP 19.29%); and Group 4 low-energy medium-protein diet (DE 10.26MJ/Kg, CP 16.05%). The results of growth and coat hair quality measurements at 47 days suggested that: 1) When diet with digestible energy of around 11MJ/Kg was used, it was good to improve growth rate and feed efficiency, and yield of carcass. In the range, the diet with DE 11.17 MJ/Kg and CP 19.29% got the best growth rate and feed efficiency. 2) When the diet with digestible energy of around 10.4MJ/Kg and crude protein between 16.05% -19.29% was applied, it was good to coat hair quality. Therefore, on purpose to get fine quality fur from Rex rabbit, it better to use feed with 10.4MJ DE/Kg.
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