Key Component Analysis of the Time Toxicity Interaction of Five Antibiotics to Q67

• Published in: Toxics (Basel) 2024-07, Vol.12 (7), p.521
• Main Authors: Liang, Luyi, Qin, Litang, Liu, Yongan, Mo, Lingyun, Dai, Junfeng, Wang, Dunqiu
• Format: Article
• Language: English
• Subjects: Agricultural production; Analysis; Antibiotics; Chloramphenicol; Chloromycetin; Chlortetracycline; combination index; Combinatorial analysis; Confidence intervals; Contaminants; dose reduction index; Enrofloxacin; Erythromycin; interactions; Methotrexate; Mixtures; Pollutants; Software; Tetracycline; Tetracyclines; Time dependence; time-dependent toxicity; Toxicity
• ISSN: 2305-6304; 2305-6304
• DOI: 10.3390/toxics12070521

Antibiotics are considered as persistent emerging contaminants. The phenomenon of mixed exposure to the environment is a common occurrence causing serious harm to human health and the environment. Therefore, we employed enrofloxacin (ENR), chlortetracycline (CTC), methotrexate (TMP), chloramphenicol (CMP), and erythromycin (ETM) in this study. Nine treatments were designed using the uniform design concentration ratio (UDCR) method to systematically determine the toxicity of individual contaminants and their mixtures on sp.-Q67 through the time-dependent microplate toxicity assay. The combinatorial index (CI) method and the dose reduction index (DRI) were used to analyze the toxic interactions of the mixtures and the magnitude of the contribution of each component to the toxic interactions. The results showed that the toxicities of ENR, CTC, TMR, CMP, and ETM and their mixtures were time-dependent, with toxic effects being enhanced except when exposure time was prolonged. The types of toxic interactions in the ENR-CTC-TMR-CMP-ETM mixtures were found to be correlated with the proportion of each component's concentration, where the proportion of the components exerted the most significant influence. Through DRI extrapolation, it was determined that the primary components of the mixture exhibited a pronounced dependency on time. Specifically, at the 4 h mark, TMP emerged as the predominant component, gradually giving way to ENR as time advanced. Upon analyzing the frequency of mixture interactions under specified effects, the additive effect appeared most frequently (66.6%), while the antagonist effect appeared the least frequently (15.9%) among the nine rays.