Back

Effects of Probiotics, Glucose Oxidase and its Combination on Immune Function, Antioxidant Status, Serum Biochemical Incides and Toxin Residue in Sheep when Challenged with Aflatoxin B1

Zhang, Y.; Lu, H.; Erdene-Khas, ; Zhang, C.; Wang, H.

2023-12-26 zoology
10.1101/2023.12.25.573291 bioRxiv
Show abstract

The objective of this study was to investigate the ability of a mixed mycotoxins detoxification agent (probiotics, Glucose oxidase (GOD) and its combination) to alleviate the toxicity of aflatoxin B1 (AFB1) by assessing growth performance, serum toxin residue, immune function, antioxidant status and serum biochemical indices of sheep. Twenty 8-month-old Mongolian sheep were randomly assigned to 1-5 diet treatment groups: 1) the control (CON) group: basal diet; 2) the AFB1 (A) group: CON + 0.2 mg/kg AFB1; 3) the AFB1 and probiotics (AP) group: A + 0.5% probiotics; 4) the AFB1 and GOD (AG) group: A + 0.5% GOD; 5) the AFB1, probiotics, and GOD (APG) group: A + 0.5% probiotics + 0.5% GOD. Results showed that treatment A adversely affected the health and performance of sheep. However, the treatments AP, AG, or APG exerted a positive effect on health, performance and other indications. In conclusion, probiotics, GOD, and its combination induced injury of Mongolian sheep by alleviating the negative effects of AFB1 on the production performance, immune indexes, antioxidant indexes, and serum biochemical indexes and effectively reducing serum toxin residue. Key ContributionThe study investigated the effects of probiotics, Glucose oxidase and its combination on serum detoxification of AFB1 by assessing growth performance, serum toxin residue, immune function, antioxidant status and blood biochemical indices of sheep. AFB1 - contaminated diets supplemented with probiotics and GOD were effective in improving growth performance, immunity, antioxidant function, liver function, and decreasing serum AFB1 residue of sheep.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.