Estimation of pesticide mixture interaction in Nile tilapia (<i>Oreochromis niloticus</i>) using survival analysis

Kanu, Kingsley Chukwuemeka; Amaeze, NH; Otitoloju, Adebayo A.

doi:10.2989/16085914.2021.1989572

Cited by 7 publications

(5 citation statements)

References 40 publications

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“…Some of the predictions by the MDR values do not agree with the results of an earlier study that used the relative toxic unit (RTU), synergistic ratio, and survival analysis to evaluate the interaction of the same pesticide mixture in O. niloticus [9] . Atrazine-mancozeb, atrazine-lambda-cyhalothrin, and mancozeb-chlorpyrifos which were synergistic in O. niloticus going by the (RTU), synergistic ratio, and survival analysis is not in agreement with the MDRs of both HM and CA model which indicates the toxicity of the mixtures were additive.…”

Section: Discussioncontrasting

confidence: 71%

“…Interaction affects the median lethal time of the mixture (a key variable for the hyperbolic model). A previous study showed that synergism decreases time-to-death and lethal concentration, while antagonism increases time-to-death and lethal concentration [9] . The interaction may be toxicokinetic (TK) or toxicodynamic (TD).…”

Section: Discussionmentioning

confidence: 93%

“…The primary data is the median lethal times (LT 50 s) of single pesticides, atrazine, mancozeb, chlorpyrifos, and lambda-cyhalothrin, obtained from a 96-hour acute toxicity study. Some of this data was published in an earlier study [9] . The LT 50 data and the corresponding concentration were fitted to a regression model to get the regression coefficients a and b so that the LT 50 of concentrations beyond those tested experimentally could be obtained.…”

Section: Methodsmentioning

confidence: 90%

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Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models

Kanu¹

2023

MethodsX

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Section: Discussioncontrasting

confidence: 71%

Section: Discussionmentioning

confidence: 93%

Section: Methodsmentioning

confidence: 90%

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Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models

Kanu¹

2023

MethodsX

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“…The classic graphical method used to study chemical interaction is the isobologram (Huang et al, 2019). However, a survival graph can show the interaction between components of a mixture (Kanu et al, 2021b). Chemical interaction could enhance the toxicity of a mixture more than the single chemical and thus decrease the survival probability of organisms exposed to the mixture.…”

Section: Discussionmentioning

confidence: 99%

Survival analysis of African catfish and Nile tilapia briefly exposed to complex pesticide mixtures

Kanu

Otitoloju

Amaeze

2022

JoBAZ

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Background Pulse exposures are the consequences of the intermittent release of pollutants in the environment. Brief exposure of aquatic organisms to high concentrations of pesticides simultaneously occurs, particularly in small watercourses during high flows. The effects of pulse exposure often include effects occurring during and after the exposure. Despite this, routine toxicity tests procedures often ignore brief exposure scenarios and the role of time in toxicity. We conducted a pulse toxicity test by briefly exposing African catfish and Nile tilapia fingerlings to pesticide mixtures of atrazine, mancozeb, chlorpyrifos, and lambda-cyhalothrin. The study aimed to estimate pesticide mixture interaction in pulse-exposed fish and elucidate the influence of species differences on the response of fish to the pesticide mixture. Results Despite the similarity in fingerlings weight, African catfish had a significantly higher survival probability than Nile tilapia after exposure to atrazine-mancozeb mixture. However, the survival probability of African catfish and Nile tilapia fingerlings were similar after exposure to atrazine-chlorpyrifos, atrazine-lambda cyhalothrin, mancozeb-chlorpyrifos, mancozeb-lambda cyhalothrin, chlorpyrifos-lambda cyhalothrin, and quaternary mixture (p > 0.05). The survival probability of exposed fingerlings was significantly lower for continuous than pulse exposure to the mixtures (p < 0.01). Nevertheless, the survival probability of 60 min of pulse exposure to 13.49 mg/L mancozeb-lambda cyhalothrin was similar to continuous exposure for 96 h. Atrazine-mancozeb, atrazine-chlorpyrifos, atrazine-lambda cyhalothrin, mancozeb-chlorpyrifos, mancozeb-lambda cyhalothrin, and the quaternary pesticide mixture were antagonists in African catfish but not in Nile tilapia. At the same time, chlorpyrifos-lambda-cyhalothrin was antagonistic in Nile tilapia but not African catfish. Conclusions Pesticide mixture interaction was antagonist but specie-dependent. Innate intrinsic and extrinsic deterministic factors and, to a limited extent, stochastic processes may have influenced the survival probability of African catfish, and Nile tilapia pulsed exposed to complex pesticide mixtures. Pulse toxicity assessment using survival analysis is relevant in ecotoxicology as it enables the study of factors that can influence pulse toxicity.

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“…Understanding the overall risk of pesticide mixtures is a formidable challenge owing to the numerous pesticide combinations, different exposure pathways, and interactions between compounds . One key question pertains to the additivity and synergistic effects of diverse pesticide mixes, , particularly regarding agriculture runoff affecting important aquaculture species (e.g., ref ). In our study, where certain specific end point pathways such as PPARγ and xenobiotic metabolism can be represented by multiple in silico models, it is extremely challenging to isolate or associate the pesticide(s) responsible for eliciting end point signals.…”

Section: Discussionmentioning

confidence: 99%

Riverine Pesticides in an Agricultural Catchment in Northern Thailand: With Focus on Atrazine and Metabolites

Lee,

Ziegler,

et al. 2024

ACS EST Water

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This study investigates the longitudinal and temporal trends of atrazine, a persistent herbicide, in the Mae Sa catchment in northern Thailand. Concentrations of atrazine determined from targeted analysis were elevated during the wet season, and great variability was observed in relation to individual storm runoff hydrographs. When compared to regulatory limits, the observed atrazine concentrations in Mae Sa were generally below environmental thresholds of concern. However, greater risk may occur in other tributary systems feeding the Ping River, where some concentrations exceeding 2000 ng/L were observed, although they were not sustained for extended periods of time. Additionally, nontargeted screening identified 16 other agrochemicals with known potential environmental risks or associated toxicity. Despite the minor risk posed by atrazine alone, the research highlights the intricate interplay of agricultural practices, diverse pesticide application, and hydroclimatic factors in influencing pesticide dynamics. In the broader context, this study underscores the challenge of estimating risks arising from pesticide mixtures while using a combination of targeted analysis, nontargeted screening, in silico prediction models, and in vitro bioassays. Collectively, we find evidence of the presence of more than 100 pesticides in the catchment since dedicated work began there more than a decade ago.

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Estimation of pesticide mixture interaction in Nile tilapia (Oreochromis niloticus) using survival analysis

Cited by 7 publications

References 40 publications

Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models

Prediction of the toxic effects of (agro) chemical mixtures on organisms using simple time-based models

Survival analysis of African catfish and Nile tilapia briefly exposed to complex pesticide mixtures

Riverine Pesticides in an Agricultural Catchment in Northern Thailand: With Focus on Atrazine and Metabolites

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