Does cadmium affect the toxicokinetics of permethrin in Chironomus dilutus at sublethal level? Evidence of enzymatic activity and gene expression

Chen, Xin; Li, Huizhen; Zhang, Junjie; Ding, Yuping; You, Jing

doi:10.1016/j.envpol.2016.08.051

Cited by 22 publications

(7 citation statements)

References 48 publications

(63 reference statements)

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“…Such practices avoid the need to account for growth effect and minimize the potential interference of unconsumed food particles to reduce chemical bioavailability (i.e., lowering freely dissolved fraction) to the organism. Furthermore, short exposure/uptake time (<10 h) in many midge studies (Leversee et al 1982; Muir et al 1982; Lydy et al 2000; Chen et al 2016) also makes k G irrelevant because weight gain/loss is slow to manifest.…”

Section: Resultsmentioning

confidence: 99%

“…The use of midge in bioconcentration characterization is especially appealing. Because of its very small body size (i.e., microgram range), both the uptake and the depuration periods can be very short, such as a few days (Simkiss et al 2001; Harwood et al 2009; Agbo et al 2013) or even a few hours (Gerould et al 1983; Chen et al 2016). Study of the internal distribution and dynamics (Yohannes et al 2017; Hou et al 2019) of contaminants between different organs and tissues can also be neglected in the midge for the same reason, thus simplifying the interpretation of kinetics.…”

Section: Introductionmentioning

confidence: 99%

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A Reduced Model for Bioconcentration and Biotransformation of Neutral Organic Compounds in Midge

Kuo

Chen

2020

Enviro Toxic and Chemistry

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A bioconcentration factor (BCF) database and a toxicokinetic model considering only biota-water partitioning and biotransformation were constructed for neutral organic chemicals in midge. The database contained quality-reviewed BCF and toxicokinetic data with variability constrained to within 0.5 to 1 log unit. Diverse conditions in exposure duration, flow setup , substrate presence, temperature, and taxonomic classification did not translate into substantial variability in BCF, uptake rate constant (k 1), or depuration rate constant (k T), and no systematic bias was observed in BCFs derived in unlabeled versus radiolabeled studies. Substance-specific biotransformation rate constants k M were derived by difference between the calculated biota-water partitioning coefficient (K BW) and experimental BCF for developing a midge biotransformation model. Experimental midge BCF was modeled as BCF = K BW /(1 + k M/ k 2) with log k M (k M in h-1) =-0.37 log K OW-0.06T (in K) + 18.87 (root mean square error [RMSE] = 0.60), log k 1 (k 1 in L kg wet.wt-1 h-1) =-0.0747 W (body weight in mg wet.wt) + 2.35 (RMSE = 0.48). The K BW value was estimated using midge biochemical composition and established polyparameter linear free energy relationships, and the diffusive elimination rate constant (k 2) was computed as k 2 = k 1 /K BW. The BCF model predicted >85% of BCFs that associated with neutral organic compounds (log K OW = 1.46-7.75) to within 1 log-unit error margin and had comparable accuracy similar to amphipod or fish models. A number of outliers and critical limitations of the k M model were identified and examined, and they largely reflected the inherent limitation of difference-derived k M , the lack of chemical diversity, and inadequate temperature variation in existing data. Future modeling efforts can benefit from more BCF and toxicokinetic observations of BCF on structurally diverse chemicals for model training, validation, and diagnosis.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Reduced Model for Bioconcentration and Biotransformation of Neutral Organic Compounds in Midge

Kuo

Chen

2020

Enviro Toxic and Chemistry

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“…organic load and temperature) (Gnatyshyna et al, 2012;Lavarías et al, 2017;Madeira et al, 2016). However, some researchers have proposed a bell-shaped dose-response relationship, in which an increasing stress first induces an increase in activity (overcompensating for ROS production), but at higher stressor concentrations, the enzyme can be depleted due to severe damage (Amiard et al, 2006;Chen et al, 2016aChen et al, , 2016bDagnino et al, 2007;Oliveira et al, 2012;Sadauskas-Henrique et al, 2017). If we assume a bell-shaped dose-response, we can conclude that in the present study, the copper concentration used was low enough to generate a stimulatory response without causing severe damage.…”

Section: Discussionmentioning

confidence: 99%

Assessment of metal exposure (uranium and copper) by the response of a set of integrated biomarkers in a stream shredder

Tagliaferro

Gonçalves

Bergman

et al. 2018

Ecological Indicators

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“…dilutus, thereby, enhancing the biotransformation of cypermethrin to less toxic metabolites [112][113]. On the other hand, the toxic contribution from other pesticides which co-occur with pyrethroids in sediment should also be considered [32], and a simple concentration addition model was considered as a conservative estimation of toxicity for pesticide mixtures [114][115][116].…”

Section: Extrapolating From Sediment Toxicity To Ecological Riskmentioning

confidence: 99%

Global occurrence of pyrethroid insecticides in sediment and the associated toxicological effects on benthic invertebrates: An overview

Cheng

Wei

et al. 2017

Journal of Hazardous Materials

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247

108

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Pyrethroids are the third most applied group of insecticides worldwide and are extensively used in agricultural and non-agricultural applications. Pyrethroids exhibit low toxicity to mammals, but have extremely high toxicity to fish and non-target invertebrates. Their high hydrophobicity, along with pseudo-persistence due to continuous input, indicates that pyrethroids will accumulate in sediment, pose long-term exposure concerns to benthic invertebrates and ultimately cause significant risk to benthic communities and aquatic ecosystems. The current review synthesizes the reported sediment concentrations of pyrethroids and associated toxicity to benthic invertebrates on a global scale. Geographically, the most studied area was North America, followed by Asia, Europe, Australia and Africa. Pyrethroids were frequently detected in both agricultural and urban sediments, and bifenthrin and cypermethrin were identified as the main contributors to toxicity in benthic invertebrates. Simulated hazard quotients (HQ) for sediment-associated pyrethroids to benthic organisms ranged from 10.5±31.1 (bifenthrin) to 41.7±204 (cypermethrin), suggesting significant risk. The current study has provided evidence that pyrethroids are not only commonly detected in the aquatic environment, but also can cause toxic effects to benthic invertebrates, and calls for better development of accurate sediment quality criteria and effective ecological risk assessment methods for this emerging class of insecticides.

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Does cadmium affect the toxicokinetics of permethrin in Chironomus dilutus at sublethal level? Evidence of enzymatic activity and gene expression

Cited by 22 publications

References 48 publications

A Reduced Model for Bioconcentration and Biotransformation of Neutral Organic Compounds in Midge

A Reduced Model for Bioconcentration and Biotransformation of Neutral Organic Compounds in Midge

Assessment of metal exposure (uranium and copper) by the response of a set of integrated biomarkers in a stream shredder

Global occurrence of pyrethroid insecticides in sediment and the associated toxicological effects on benthic invertebrates: An overview

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