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Koch J, Classen S, Gerth D, Dallmann N, Strauss T, Vaugeois M, Galic N. Modeling temperature-dependent life-cycle toxicity of thiamethoxam in Chironomus riparius using a DEB-TKTD model. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 277:116355. [PMID: 38669871 DOI: 10.1016/j.ecoenv.2024.116355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/22/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
The neonicotinoid insecticide thiamethoxam (TMX) is widely used to protect crops against insect pests. Despite some desirable properties such as its low toxicity to birds and mammals, concerns have been raised about its toxicity to non-target arthropods, including freshwater insects like chironomids. Whereas multiple studies have investigated chronic effects of neonicotinoids in chironomid larvae at standardized laboratory conditions, a better understanding of their chronic toxicity under variable temperatures and exposure is needed for coherent extrapolation from the laboratory to the field. Here, we developed a quantitative mechanistic effect model for Chironomus riparius, to simulate the species' life history under dynamic temperatures and exposure concentrations of TMX. Laboratory experiments at four different temperatures (12, 15, 20, 23 °C) and TMX concentrations between 4 and 51 µg/L were used to calibrate the model. Observed concentration-dependent effects of TMX in C. riparius included slower growth, later emergence, and higher mortality rates with increasing concentrations. Furthermore, besides a typical accelerating effect on the organisms' growth and development, higher temperatures further increased the effects associated with TMX. With some data-informed modeling decisions, most prominently the inclusion of a size dependence that makes larger animals more sensitive to TMX, the model was parametrized to convincingly reproduce the data. Experiments at both a constant (20 °C) and a dynamically increasing temperature (15-23 °C) with pulsed exposure were used to validate the model. Finally, the model was used to simulate realistic exposure conditions using two reference exposure scenarios measured in Missouri and Nebraska, utilizing a moving time window (MTW) and either a constant temperature (20 °C) or the measured temperature profiles belonging to each respective scenario. Minimum exposure multiplication factors leading to a 10% effect (EP10) in the survival at pupation, i.e., the most sensitive endpoint found in this study, were 25.67 and 21.87 for the Missouri scenario and 38.58 and 44.64 for the Nebraska scenario, when using the respective temperature assumptions. While the results illustrate that the use of real temperature scenarios does not systematically modify the EPx in the same direction (making it either more or less conservative when used as a risk indicator), the advantage of this approach is that it increases the realism and thus reduces the uncertainty associated with the model predictions.
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Affiliation(s)
- Josef Koch
- gaiac Research Institute, Aachen, Germany.
| | | | | | | | | | | | - Nika Galic
- Syngenta Crop Protection AG, Basel, Switzerland
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2
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Höllring K, Vurnek D, Gehrer S, Dudziak D, Hubert M, Smith AS. Morphology as indicator of adaptive changes of model tissues in osmotically and chemically changing environments. BIOMATERIALS ADVANCES 2023; 154:213635. [PMID: 37804683 DOI: 10.1016/j.bioadv.2023.213635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 08/23/2023] [Accepted: 09/19/2023] [Indexed: 10/09/2023]
Abstract
We investigate the formation and maintenance of the homeostatic state in the case of 2D epithelial tissues following an induction of hyperosmotic conditions, using media enriched with 80 to 320 mOsm of mannitol, NaCl, and urea. We characterise the changes in the tissue immediately after the osmotic shock, and follow it until the new homeostatic state is formed. We characterise changes in cooperative motility and proliferation pressure in the tissue upon treatment with the help of a theoretical model based on the delayed Fisher-Kolmogorov formalism, where the delay in density evolution is induced by the the finite time of the cell division. Finally we explore the adaptation of the homeostatic tissue to highly elevated osmotic conditions by evaluating the morphology and topology of cells after 20 days in incubation. We find that hyperosmotic environments together with changes in the extracellular matrix induce different mechanical states in viable tissues, where only some remain functional. The perspective is a relation between tissue topology and function, which could be explored beyond the scope of this manuscript. Experimental investigation of morphological effect of change of osmotic conditions on long-term tissue morphology and topology Effect of osmotic changes on transient tissue growth behaviour Analysis of recovery process of tissues post-osmotic-shock Toxicity limits of osmolytes in mid- to long-term tissue evolution Tissue adaptation to physiological changes in environment Long-term tissue stabilisation under altered osmotic conditions.
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Affiliation(s)
- Kevin Höllring
- PULS Group, Institute for Theoretical Physics, FAU Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany
| | - Damir Vurnek
- PULS Group, Institute for Theoretical Physics, FAU Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany; Laboratory of Dendritic Cell Biology, Department of Dermatology, FAU Erlangen-Nürnberg, University Hospital Erlangen, Erlangen 91052, Germany
| | - Simone Gehrer
- PULS Group, Institute for Theoretical Physics, FAU Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany
| | - Diana Dudziak
- Laboratory of Dendritic Cell Biology, Department of Dermatology, FAU Erlangen-Nürnberg, University Hospital Erlangen, Erlangen 91052, Germany
| | - Maxime Hubert
- PULS Group, Institute for Theoretical Physics, FAU Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany; Group of Computational Life Sciences, Department of Physical Chemistry, Ruer Bošković Institute, Bijenička 54, Zagreb 10000, Croatia
| | - Ana-Sunčana Smith
- PULS Group, Institute for Theoretical Physics, FAU Erlangen-Nürnberg, Cauerstraße 3, 91058 Erlangen, Germany; Group of Computational Life Sciences, Department of Physical Chemistry, Ruer Bošković Institute, Bijenička 54, Zagreb 10000, Croatia.
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Stevenson LM, Muller EB, Nacci D, Clark BW, Whitehead A, Nisbet RM. Connecting Suborganismal Data to Bioenergetic Processes: Killifish Embryos Exposed to a Dioxin-Like Compound. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:2040-2053. [PMID: 37232404 DOI: 10.1002/etc.5680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/23/2023] [Accepted: 05/24/2023] [Indexed: 05/27/2023]
Abstract
A core challenge for ecological risk assessment is to integrate molecular responses into a chain of causality to organismal or population-level outcomes. Bioenergetic theory may be a useful approach for integrating suborganismal responses to predict organismal responses that influence population dynamics. We describe a novel application of dynamic energy budget (DEB) theory in the context of a toxicity framework (adverse outcome pathways [AOPs]) to make quantitative predictions of chemical exposures to individuals, starting from suborganismal data. We use early-life stage exposure of Fundulus heteroclitus to dioxin-like chemicals (DLCs) and connect AOP key events to DEB processes through "damage" that is produced at a rate proportional to the internal toxicant concentration. We use transcriptomic data of fish embryos exposed to DLCs to translate molecular indicators of damage into changes in DEB parameters (damage increases somatic maintenance costs) and DEB models to predict sublethal and lethal effects on young fish. By changing a small subset of model parameters, we predict the evolved tolerance to DLCs in some wild F. heteroclitus populations, a data set not used in model parameterization. The differences in model parameters point to reduced sensitivity and altered damage repair dynamics as contributing to this evolved resistance. Our methodology has potential extrapolation to untested chemicals of ecological concern. Environ Toxicol Chem 2023;42:2040-2053. © 2023 Oak Ridge National Laboratory and The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Louise M Stevenson
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
- Department of Biological Sciences, Bowling Green State University, Bowling Green, Ohio, USA
| | - Erik B Muller
- Marine Science Institute, University of California, Santa Barbara, California, USA
- Institut für Biologische Analytik und Consulting IBACON, Rossdorf, Germany
| | - Diane Nacci
- Atlantic Coastal Environmental Sciences Division, Office of Research and Development, Center for Environmental Measurement and Modeling, US Environmental Protection Agency, Narragansett, Rhode Island
| | - Bryan W Clark
- Atlantic Coastal Environmental Sciences Division, Office of Research and Development, Center for Environmental Measurement and Modeling, US Environmental Protection Agency, Narragansett, Rhode Island
| | - Andrew Whitehead
- Department of Environmental Toxicology, University of California Davis, Davis, California, USA
| | - Roger M Nisbet
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
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Tan Y, Miao L, Xiao J, Cheang WS. 3,3′,4,5′-Tetramethoxy-trans-stilbene Improves Insulin Resistance by Activating the IRS/PI3K/Akt Pathway and Inhibiting Oxidative Stress. Curr Issues Mol Biol 2022; 44:2175-2185. [PMID: 35678676 PMCID: PMC9164067 DOI: 10.3390/cimb44050147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/08/2022] [Accepted: 05/10/2022] [Indexed: 11/29/2022] Open
Abstract
The potential anti-diabetic effect of resveratrol derivative, 3,3′,4,5′-tetramethoxy-trans-stilbene (3,3′,4,5′-TMS) and its underlying mechanism in high glucose (HG) and dexamethasone (DXMS)-stimulated insulin-resistant HepG2 cells (IR-HepG2) were investigated. 3,3′,4,5′-TMS did not reduce the cell viability of IR-HepG2 cells at the concentrations of 0.5–10 µM. 3,3′,4,5′-TMS increased the potential of glucose consumption and glycogen synthesis in a concentration-dependent manner in IR-HepG2 cells. 3,3′,4,5′-TMS ameliorated insulin resistance by enhancing the phosphorylation of glycogen synthase kinase 3 beta (GSK3β), inhibiting phosphorylation of insulin receptor substrate-1 (IRS-1), and activating phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) pathway in IR-HepG2 cells. Furthermore, 3,3′,4,5′-TMS significantly suppressed levels of reactive oxygen species (ROS) with up-regulation of nuclear factor erythroid 2-related factor 2 (Nrf2) expression. To conclude, the beneficial effect of 3,3′,4,5′-TMS against insulin resistance to increase glucose consumption and glycogen synthesis was mediated through activation of IRS/PI3K/Akt signaling pathways in the IR-HepG2 cells, accomplished with anti-oxidative activity through up-regulation of Nrf2.
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Affiliation(s)
- Yi Tan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
| | - Lingchao Miao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
| | - Jianbo Xiao
- Department of Analytical Chemistry and Food Science, Faculty of Food Science and Technology, University of Vigo, 36310 Vigo, Spain
- Correspondence: (J.X.); (W.S.C.); Tel.: +853-8822-4914 (W.S.C.)
| | - Wai San Cheang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
- Correspondence: (J.X.); (W.S.C.); Tel.: +853-8822-4914 (W.S.C.)
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Affiliation(s)
- Raymond B Huey
- Department of Biology, University of Washington, Seattle, WA, USA.
| | - Michael R Kearney
- School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia
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Vignardi CP, Muller EB, Tran K, Couture JL, Means JC, Murray JLS, Ortiz C, Keller AA, Smith Sanchez N, Lenihan HS. Conventional and nano-copper pesticides are equally toxic to the estuarine amphipod Leptocheirus plumulosus. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2020; 224:105481. [PMID: 32380301 DOI: 10.1016/j.aquatox.2020.105481] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 03/03/2020] [Accepted: 03/24/2020] [Indexed: 06/11/2023]
Abstract
Modern nano-engineered pesticides have great promise for agriculture due to their extended, low dose release profiles that are intended to increase effectiveness but reduce environmental harm. Whether nanopesticides, including copper (Cu) formulations, cause reduced levels of toxicity to non-target aquatic organisms is unclear but important to assess. Predicting how aquatic species respond to incidental exposure to Cu-based nanopesticides is challenging because of the expected very low concentrations in the environment, and the two forms of exposure that may occur, namely to Cu ions and Cu nanoparticles. We conducted Cu speciation, tissue uptake, and 7-day toxicity laboratory experiments to test how a model estuarine organism, the amphipod Leptocheirus plumulosus, responded to two popular Cu-based nanopesticides, CuPRO and Kocide, and conventional CuCl2. Exposure concentrations ranged from 0 to 2.5 ppm, which were similar to those found in estuarine water located downstream of agricultural fields. Cu dissolution rates were much slower for the nanopesticides than the ionic formula, and Cu body burden in amphipods increased approximately linearly with the nominal exposure concentration. Amphipod survival declined in a normal dose-response manner with no difference among Cu formulations. Growth and movement rates after 7 days revealed no difference among exposure levels when analyzed with conventional statistical methods. By contrast, analysis of respiration rates, inferred from biomass measurements, with a bioenergetic toxicodynamic model indicated potential for population-level effects of exposure to very low-levels of the two nanopesticides, as well as the control contaminant CuCl2. Our results indicate that toxicity assessment of environmental trace pollutant concentrations may go undetected with traditional ecotoxicological tests. We present a process integrating toxicity test results and toxicodynamic modeling that can improve our capacity to detect and predict environmental impacts of very low levels of nanomaterials released into the environment.
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Affiliation(s)
- Caroline P Vignardi
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States; CAPES Foundation, Ministry of Education of Brazil, 70040-020, Brasília, DF, Brazil
| | - Erik B Muller
- Marine Science Institute, University of California, Santa Barbara, CA, 93106, USA; Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kelly Tran
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States
| | - Jessica L Couture
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States
| | - Jay C Means
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States; Earth Research Institute, University of California, Santa Barbara, CA, 93106, USA
| | - Jill L S Murray
- City of Santa Barbara - Creeks Division, Santa Barbara, CA, 93102, USA
| | - Cruz Ortiz
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States
| | - Arturo A Keller
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States
| | - Nicolas Smith Sanchez
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States
| | - Hunter S Lenihan
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106, United States.
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7
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Murphy CA, Nisbet RM, Antczak P, Garcia-Reyero N, Gergs A, Lika K, Mathews T, Muller EB, Nacci D, Peace A, Remien CH, Schultz IR, Stevenson LM, Watanabe KH. Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2018; 14:615-624. [PMID: 29870141 PMCID: PMC6643959 DOI: 10.1002/ieam.4063] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 02/27/2018] [Accepted: 05/31/2018] [Indexed: 05/19/2023]
Abstract
A working group at the National Institute for Mathematical and Biological Synthesis (NIMBioS) explored the feasibility of integrating 2 complementary approaches relevant to ecological risk assessment. Adverse outcome pathway (AOP) models provide "bottom-up" mechanisms to predict specific toxicological effects that could affect an individual's ability to grow, reproduce, and/or survive from a molecular initiating event. Dynamic energy budget (DEB) models offer a "top-down" approach that reverse engineers stressor effects on growth, reproduction, and/or survival into modular characterizations related to the acquisition and processing of energy resources. Thus, AOP models quantify linkages between measurable molecular, cellular, or organ-level events, but they do not offer an explicit route to integratively characterize stressor effects at higher levels of organization. While DEB models provide the inherent basis to link effects on individuals to those at the population and ecosystem levels, their use of abstract variables obscures mechanistic connections to suborganismal biology. To take advantage of both approaches, we developed a conceptual model to link DEB and AOP models by interpreting AOP key events as measures of damage-inducing processes affecting DEB variables and rates. We report on the type and structure of data that are generated for AOP models that may also be useful for DEB models. We also report on case studies under development that merge information collected for AOPs with DEB models and highlight some of the challenges. Finally, we discuss how the linkage of these 2 approaches can improve ecological risk assessment, with possibilities for progress in predicting population responses to toxicant exposures within realistic environments. Integr Environ Assess Manag 2018;14:615-624. © 2018 SETAC.
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Affiliation(s)
- Cheryl A Murphy
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA
| | - Roger M Nisbet
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
| | - Philipp Antczak
- Institute for Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Natàlia Garcia-Reyero
- Environmental Laboratory, US Army Engineer Research & Development Center, Vicksburg, Mississippi
| | - Andre Gergs
- gaiac-Research Institute for Ecosystem Analysis and Assessment, Aachen, Germany
| | - Konstadia Lika
- Department of Biology, University of Crete, Voutes University Campus, Heraklion, Greece
| | - Teresa Mathews
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Erik B Muller
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Diane Nacci
- US Environmental Protection Agency, Office of Research and Development, Narragansett, Rhode Island
| | - Angela Peace
- Department of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, USA
| | | | - Irvin R Schultz
- Marine Sciences Lab, Pacific NW National Laboratory, Sequim, Washington, USA
- Present address: Lynker Technologies, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | - Louise M Stevenson
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USA
| | - Karen H Watanabe
- School of Mathematical and Natural Sciences, Arizona State University, Glendale, Arizona, USA
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Klanjšček T, Muller EB, Holden PA, Nisbet RM. Host-Symbiont Interaction Model Explains Non-monotonic Response of Soybean Growth and Seed Production to Nano-CeO 2 Exposure. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:4944-4950. [PMID: 28333444 DOI: 10.1021/acs.est.6b06618] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Recent nanotoxicity studies have demonstrated non-monotonic dose-response mechanisms for planted soybean that have a symbiotic relationship with bacteroids in their root nodules: reduction of growth and seed production was greater for low, as compared to high, exposures. To investigate mechanistic underpinnings of the observed patterns, we formulated an energy budget model coupled to a toxicokinetic module describing bioaccumulation, and two toxicodynamic modules describing toxic effects on host plant and symbionts. By fitting data on plants exposed to engineered CeO2 nanoparticles to the newly formulated model, we show that the non-monotonic patterns can be explained as the interaction of two, individually monotonic, dose-response processes: one for the plant and the other for the symbiont. We further validate the newly formulated model by showing that, without the need for additional parameters, the model successfully predicts changes in dinitrogen fixation potential as a function of exposure (dinitrogen fixation potential data not used in model fitting). The symbiont buffers overall toxicity only when, in the absence of exposure to a toxicant, it has a parasitic interaction with the host plant. If the interaction is mutualistic or commensal, there is no buffering and only monotonic toxic responses are possible. Because the model is based on general biological principles, we expect it to be applicable to other similar symbiotic systems, especially other nodule-forming legumes.
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Affiliation(s)
- Tin Klanjšček
- Ruđer Bošković Institute , Bijenička cesta 54, Post Office Box 180, 10000 Zagreb, Croatia
| | | | - Patricia A Holden
- Bren School of Environmental Science and Management, University of California, Santa Barbara , Santa Barbara, California 93106-5131, United States
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