Toxicologic, transcriptomic, and metabolomic insights into the effect of a mixture of 26 veterinary antimicrobials on rat liver.

To evaluate the maximum possible hazard of veterinary antimicrobial mixtures at doses accessible to humans, Sprague-Dawley male rats were orally dosed with a mixture of 26 commonly used veterinary antimicrobials for 90 consecutive days. The daily dosage of each component was 100 times (G1), 10 times (G2) and, 1 time (G3) of acceptable daily intake (ADI) in China. Hematology analysis and biochemical analysis found significant changes of several parameters, suggesting liver damage. Histopathological examination further indicated that mixtures of veterinary drugs at three levels caused obvious hepatotoxicity, and the severity of damage increased with dosage. LC-MS-based metabolomics analysis was carried out to detect metabolite changes in liver tissue. In G1, G2, and G3, 208, 165, and 195 differential accumulated metabolites (DAMs) compared with the Ctrl group were filtered, respectively. Similarly, RNA-seq helped us to filter a total of 183, 118, and 38 differentially expressed genes (DEGs) in G1, G2, and G3 compared with the Ctrl group, respectively. By integrating with the transcriptomic and metabolomic data, we revealed that mineral absorption, ascorbate and aldarate metabolism may be the major pathways affected by the veterinary antimicrobial mixtures in our study. This study provided useful data for the risk assessment of multiple chemicals.

Toxicological and transcriptomic-based analysis of monensin and sulfamethazine co-exposure on male SD rats.

Antibiotic residue has become an emerging environmental contaminant, while the toxicological effects and underlying mechanisms caused by the co-exposure to multiple veterinary antibiotics were rarely studied. In this study, male Sprague Dawley rats were exposed to monensin (M) (1, 2, 10 mg/(kg·body weight (BW)) combined with sulfamethazine (S) (60, 120, 600 mg/(kg·BW)) or single drugs for 28 consecutive days. The body weight, hematological and blood biochemical parameters, organ coefficients, and histopathology were analyzed to discover their combined toxicity effect. Transcriptomic analysis was used to reveal the possible mechanisms of their joint toxicity. Compared with the control group, the weight gain rate was significantly reduced in the H-M+S and H-S, and alkaline phosphatase in H-M+S was significantly increased. Furthermore, relative liver and kidneys weight was significantly increased, and the liver of H-M+S showed more severe lesions in histopathological analysis. For H-M+S, H-M and H-S, transcriptomic results showed that 344, 246, and 99 genes were differentially expressed, respectively. The Gene Ontology terms mainly differ in sterol biosynthetic process and steroid hydroxylase activity. The Kyoto Encyclopedia of Genes and Genome pathways showed abnormal retinol metabolism, metabolism of xenobiotics by cytochrome P450, and drug metabolism-cytochrome 450; the common 30 genes were screened from the network of protein-protein interaction. The results showed that mixed contamination of M and S produces hepatotoxicity by interfering with linoleic acid metabolism, retinol metabolism and CYP450 enzyme-dominated drug metabolism. Further analysis showed that Cyp1a2, Cyp2c61, Ugt1a3, and Ugt1a5 might be the key genes. These findings could provide more evidence for investigating the toxic effects and metabolism of mixed antibiotics contamination in mammals.

Comparative Study on Synergistic Toxicity of Enrofloxacin Combined with Three Antibiotics on Proliferation of THLE-2 Cell.

Little attention has been paid to the problem of the combined toxicity of accumulated antibiotics on humans from food and clinical treatments. Therefore, we used human hepatocytes to study the joint toxicity of four common antibiotics. The cytotoxicity of enrofloxacin (ENR), combined with ciprofloxacin (CFX), florfenicol (FFC), or sulfadimidine (SMD) on THLE-2 cells was determined by CCK-8 assays; then their joint toxicity was evaluated using CalcuSyn 2.0. Dose-effect curves and median-effect plots established on large amounts of data and CI values were calculated to judge the nature of the combination's interaction. ED50, ED75, and ED90 were predicted to elucidate the changing trend of the concentration on the toxicity of each drug pair. The ENR-CFX and ENR-FFC pairs exhibited synergistic toxicity only at special concentration rates, while ENR and SMD synergistically induced cytotoxicity at almost all the concentration rates studied. The mixed ratio was a significant factor for synergistic toxicity and should be evaluated in all combined effect studies. These results suggested that the combined toxicity of these four drugs should be taken into account in their risk assessment.

Toxicologic effect and transcriptome analysis for short-term orally dosed enrofloxacin combined with two veterinary antimicrobials on rat liver.

Presently, toxicological assessment of multiple veterinary antimicrobials has not been performed on mammals. In this study, we assessed the short-term toxicity of enrofloxacin (E) combined with colistin (C) and quinocetone (Q). Young male rats were orally dosed drug mixtures and single drugs in 14 consecutive days, each at the dose of 20, 80, and 400 mg/(kg·BW) for environmental toxicologic study. The results showed that at the high dose treatment, the combination of E + C+Q significantly decreased body intake, lymphocytes count on rats; significantly increased the values of Alanine aminotransferase (ALT), Glutamic oxaloacetic transaminase (AST) and, cholinesterase (CHE); it also got the severest histopathological changes, where sinusoidal congestion and a large number of black particles in sinusoids were observed. This means E + C+Q in the high dose groups was able to cause significant damage to the liver. Other combinations or doses did not induce significant liver damage. Transcriptome analysis was then performed on rats in high dose group for further research. For E + C and E + Q, an amount of 375 and 480 differently expressed genes were filtered out, revealing their possible underlying effect on genomes. For E + C+Q, a weighted gene co-expression network analysis was performed and 96 hub genes were identified to reveal the specific effect induced by this combination. This study indicates that joint toxicity should be taken into consideration when involving the risk assessment of these antimicrobials.