Dose-dependent joint resistance action of antibacterial mixtures in their hormetic effects on bacterial resistance based on concentration addition model

Shen, Hongyan; Yang, Mingru; Wang, Jing; Zou, Xiaoming; Tong, Danqing; Zhang, Yulian; Tang, Liang; Sun, Haoyu; Yang, Lei

doi:10.1016/j.scitotenv.2022.160574

Cited by 4 publications

(1 citation statement)

References 62 publications

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“…Interactions among components in a chemical mixture can result in intricate alterations in the apparent characteristics of individual compounds, leading to additive, synergistic, or antagonistic effects . The discharge of multiple antibiotics, commonly used to treat bacterial infections, into the environment poses a potential threat to both human health and environmental safety. − The study showed that zebrafish larvae exposed to 100 μg/L of sulfamonomethoxine, cefotaxime sodium, tetracycline, enrofloxacin, and their mixtures were significantly inhibited in body length and some larvae were deformed . Four veterinary antibiotics (VA) and 10 preferred VA were detected in the urine of 586 schoolchildren, and significant associations were found between VA and the 10 preferred VA and the phenomena of overweight and obesity in schoolchildren .…”

Section: Introductionmentioning

confidence: 99%

Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model

Xu,

Liu,

et al. 2024

Environ. Health

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Antibiotics may be exposed in a mixed state in natural environments. The toxicity of antibiotic mixtures exhibits time-dependent characteristics, and data on the time-dependent toxicity of antibiotic mixtures is also relatively lacking. In this study, the toxicities of 45 binary mixtures composed of five antibiotics were investigated against Vibrio qinghaiensis sp.-Q67 (Q67) at multiple exposure times (4, 6, 8, 10, and 12 h). Quantitative structure−activity relationship (QSAR) models were developed for predicting the time-dependent toxicities of 45 binary mixtures. The results showed that the best QSAR models presented coefficient of determination (R 2 ) of (0.818−0.913) and explained variance in prediction leave-one-out (Q 2 LOO ) of (0.781−0.894) and predictive ability (Q 2 F1 , Q 2 F2 , Q 2 F3 > 0.682, concordance correlation coefficient > 0.859). The R 2 values of QSAR models outperformed the R 2 (0.628−0.810) of the conventional concentration addition models and the R 2 (0.654−0.792) of the independent action models. Furthermore, the QSAR models showed higher R 2 and Q 2 LOO values at 4 h compared to other exposure times. Specifically, the model at the 30% effective concentration (EC 30 ) had R 2 of 0.902 and Q 2 LOO of 0.883, while the model at the 50% effective concentration (EC 50 ) had R 2 of 0.913 and Q 2 LOO of 0.894. The CATS2D_04_DP descriptor was found to be the most dominant and negatively correlated factor influencing the toxicity of mixed antibiotics against Q67 in the nine QSAR models developed over five exposure times. The reduction in the number of DP pharmacophore point pairs with a topological distance of 4 in the represented molecules is the primary cause for the rise in the time-dependent toxicity of the antibiotics against Q67.

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Section: Introductionmentioning

confidence: 99%

Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model

Xu,

Liu,

et al. 2024

Environ. Health

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Recent design strategies for boosting chemodynamic therapy of bacterial infections

Zhang,

Guo,

Liu

et al. 2023

Exploration

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The emergence of drug‐resistant bacteria poses a significant threat to people's lives and health as bacterial infections continue to persist. Currently, antibiotic therapy remains the primary approach for tackling bacterial infections. However, the escalating rates of drug resistance coupled with the lag in the development of novel drugs have led to diminishing effectiveness of conventional treatments. Therefore, the development of nonantibiotic‐dependent therapeutic strategies has become imperative to impede the rise of bacterial resistance. The emergence of chemodynamic therapy (CDT) has opened up a new possibility due to the CDT can convert H2O2 into •OH via Fenton/Fenton‐like reaction for drug‐resistant bacterial treatment. However, the efficacy of CDT is limited by a variety of practical factors. To overcome this limitation, the sterilization efficiency of CDT can be enhanced by introducing the therapeutics with inherent antimicrobial capability. In addition, researchers have explored CDT‐based combined therapies to augment its antimicrobial effects and mitigate its potential toxic side effects toward normal tissues. This review examines the research progress of CDT in the antimicrobial field, explores various strategies to enhance CDT efficacy and presents the synergistic effects of CDT in combination with other modalities. And last, the current challenges faced by CDT and the future research directions are discussed.

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Size- and surface charge-dependent hormetic effects of microplastics on bacterial resistance and their interactive effects with quinolone antibiotic

Shen,

Yang,

Yin

et al. 2023

Science of The Total Environment

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Dose-dependent joint resistance action of antibacterial mixtures in their hormetic effects on bacterial resistance based on concentration addition model

Cited by 4 publications

References 62 publications

Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model

Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model

Recent design strategies for boosting chemodynamic therapy of bacterial infections

Size- and surface charge-dependent hormetic effects of microplastics on bacterial resistance and their interactive effects with quinolone antibiotic

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