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van Loon S, Vicente VB, van Gestel CAM. Long-Term Effects of Imidacloprid, Thiacloprid, and Clothianidin on the Growth and Development of Eisenia andrei. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:1686-1695. [PMID: 35611556 PMCID: PMC9323485 DOI: 10.1002/etc.5345] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/28/2022] [Accepted: 04/07/2022] [Indexed: 05/14/2023]
Abstract
Recently, the high toxicity of neonicotinoids to the survival and reproduction of adult earthworms has become apparent in standard 56-day toxicity tests. The persistence of some neonicotinoids and/or their repeated application may lead to long-term exposure, possibly also affecting other parts of the life cycle of earthworms. The present study aimed at providing insight into the sublethal effects of imidacloprid, thiacloprid, and clothianidin on juvenile Eisenia andrei exposed for 16 weeks in Lufa 2.2 soil. Significant effects on growth and maturation were observed for all compounds. Exposure to 0.125 mg imidacloprid/kg dry soil and 0.03125 and 0.0625 mg thiacloprid/kg dry soil significantly affected the growth of the earthworms, while significant maturation effects were observed at 0.03125 mg/kg dry soil for imidacloprid and thiacloprid and 0.25 mg clothianidin/kg dry soil. The 16-week no-observed-effect concentrations (NOECs) found in the present study were lower than previously reported NOECs for effects on earthworm reproduction. Predicted environmental concentrations after a single application exceeded the observed NOECs for effects on earthworm maturation in the case of imidacloprid and thiacloprid and for effects on earthworm growth in the case of thiacloprid and clothianidin. Environ Toxicol Chem 2022;41:1686-1695. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Sam van Loon
- Faculty of Science, Amsterdam Institute for Life and Environment (A‐LIFE)Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Victor B. Vicente
- Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA‐CSIC)SalamancaSpain
| | - Cornelis A. M. van Gestel
- Faculty of Science, Amsterdam Institute for Life and Environment (A‐LIFE)Vrije Universiteit AmsterdamAmsterdamThe Netherlands
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Abstract
Replant disease is a soil (micro-) biome-based, harmfully-disturbed physiological and morphological reaction of plants to replanting similar cultures on the same sites by demonstrating growth retardation and leading to economic losses especially in Rosaceae plant production. Commonly, replant disease is overcome by soil fumigation with toxic chemicals. With chemical soil fumigation being restricted in many countries, other strategies are needed. Biofumigation, which is characterized by the incorporation of Brassicaceae plant materials into soil, is a promising method. We review the potential of biofumigation in the fight against replant disease. Biofumigation using optimized Brassicaceae seed meal compositions in combination with replant disease tolerant plant genotypes shows promising results, but the efficacy is still soil and site-dependent. Therefore, future studies should address the optimal timing as well as amount and type of incorporated plant material and environmental conditions during incubation in dependence of the soil physical and chemical characteristics.
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Morales-Prieto N, Ruiz-Laguna J, Sheehan D, Abril N. Transcriptome signatures of p,p´-DDE-induced liver damage in Mus spretus mice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 238:150-167. [PMID: 29554563 DOI: 10.1016/j.envpol.2018.03.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/19/2018] [Accepted: 03/04/2018] [Indexed: 06/08/2023]
Abstract
The use of DDT (1,1,1-trichloro-2,2-bis(p-chlorophenyl) ethane) in some countries, although regulated, is contributing to an increased worldwide risk of exposure to this organochlorine pesticide or its derivative p,p'-DDE [1,1-dichloro-2,2-bis(p-chlorophenyl) ethylene]. Many studies have associated p,p'-DDE exposure to type 2 diabetes, obesity and alterations of the reproductive system, but their molecular mechanisms of toxicity remain poorly understood. We have addressed this issue by using commercial microarrays based on probes for the entire Mus musculus genome to determine the hepatic transcriptional signatures of p,p'-DDE in the phylogenetically close mouse species Mus spretus. High-stringency hybridization conditions and analysis assured reliable results, which were also verified, in part, by qRT-PCR, immunoblotting and/or enzymatic activity. Our data linked 198 deregulated genes to mitochondrial dysfunction and perturbations of central signaling pathways (kinases, lipids, and retinoic acid) leading to enhanced lipogenesis and aerobic glycolysis, inflammation, cell proliferation and testosterone catabolism and excretion. Alterations of transcript levels of genes encoding enzymes involved in testosterone catabolism and excretion would explain the relationships established between p,p´-DDE exposure and reproductive disorders, obesity and diabetes. Further studies will help to fully understand the molecular basis of p,p´-DDE molecular toxicity in liver and reproductive organs, to identify effective exposure biomarkers and perhaps to design efficient p,p'-DDE exposure counteractive strategies.
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Affiliation(s)
- Noelia Morales-Prieto
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, E-14071, Córdoba, Spain
| | - Julia Ruiz-Laguna
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, E-14071, Córdoba, Spain
| | - David Sheehan
- College of Arts and Science, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Nieves Abril
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, E-14071, Córdoba, Spain.
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Hristozov D, Gottardo S, Semenzin E, Oomen A, Bos P, Peijnenburg W, van Tongeren M, Nowack B, Hunt N, Brunelli A, Scott-Fordsmand JJ, Tran L, Marcomini A. Frameworks and tools for risk assessment of manufactured nanomaterials. ENVIRONMENT INTERNATIONAL 2016; 95:36-53. [PMID: 27523267 DOI: 10.1016/j.envint.2016.07.016] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Revised: 07/20/2016] [Accepted: 07/28/2016] [Indexed: 06/06/2023]
Abstract
Commercialization of nanotechnologies entails a regulatory requirement for understanding their environmental, health and safety (EHS) risks. Today we face challenges to assess these risks, which emerge from uncertainties around the interactions of manufactured nanomaterials (MNs) with humans and the environment. In order to reduce these uncertainties, it is necessary to generate sound scientific data on hazard and exposure by means of relevant frameworks and tools. The development of such approaches to facilitate the risk assessment (RA) of MNs has become a dynamic area of research. The aim of this paper was to review and critically analyse these approaches against a set of relevant criteria. The analysis concluded that none of the reviewed frameworks were able to fulfill all evaluation criteria. Many of the existing modelling tools are designed to provide screening-level assessments rather than to support regulatory RA and risk management. Nevertheless, there is a tendency towards developing more quantitative, higher-tier models, capable of incorporating uncertainty into their analyses. There is also a trend towards developing validated experimental protocols for material identification and hazard testing, reproducible across laboratories. These tools could enable a shift from a costly case-by-case RA of MNs towards a targeted, flexible and efficient process, based on grouping and read-across strategies and compliant with the 3R (Replacement, Reduction, Refinement) principles. In order to facilitate this process, it is important to transform the current efforts on developing databases and computational models into creating an integrated data and tools infrastructure to support the risk assessment and management of MNs.
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Affiliation(s)
- Danail Hristozov
- Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, c/o PST Vega di Venezia - Via della Libertà 12, 30175 Marghera (VE), Italy.
| | - Stefania Gottardo
- European Commission's Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Italy.
| | - Elena Semenzin
- Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, c/o PST Vega di Venezia - Via della Libertà 12, 30175 Marghera (VE), Italy.
| | - Agnes Oomen
- National Institute of Public Health & the Environment (RIVM), P.O. Box 1, 3720, BA, Bilthoven, The Netherlands.
| | - Peter Bos
- National Institute of Public Health & the Environment (RIVM), P.O. Box 1, 3720, BA, Bilthoven, The Netherlands.
| | - Willie Peijnenburg
- National Institute of Public Health & the Environment (RIVM), P.O. Box 1, 3720, BA, Bilthoven, The Netherlands.
| | - Martie van Tongeren
- Centre for Human Exposure Science, Institute of Occupational Medicine, Research Avenue, North, Riccarton, Edinburgh, EH14 4AP, Scotland.
| | - Bernd Nowack
- EMPA-Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, CH-9014 St. Gallen, Switzerland.
| | - Neil Hunt
- The REACH Centre, Lancaster Environment Centre, Lancaster University, Lancaster, Lancashire, LA1 4YQ, United Kingdom.
| | - Andrea Brunelli
- Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, c/o PST Vega di Venezia - Via della Libertà 12, 30175 Marghera (VE), Italy.
| | - Janeck J Scott-Fordsmand
- Department of Bioscience-Terrestrial Ecology, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark.
| | - Lang Tran
- Centre for Human Exposure Science, Institute of Occupational Medicine, Research Avenue, North, Riccarton, Edinburgh, EH14 4AP, Scotland.
| | - Antonio Marcomini
- Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, c/o PST Vega di Venezia - Via della Libertà 12, 30175 Marghera (VE), Italy.
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Gong P, Nan X, Barker ND, Boyd RE, Chen Y, Wilkins DE, Johnson DR, Suedel BC, Perkins EJ. Predicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds. BMC Genomics 2016; 17:205. [PMID: 26956490 PMCID: PMC4784335 DOI: 10.1186/s12864-016-2541-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 02/25/2016] [Indexed: 11/10/2022] Open
Abstract
Background Chemical bioavailability is an important dose metric in environmental risk assessment. Although many approaches have been used to evaluate bioavailability, not a single approach is free from limitations. Previously, we developed a new genomics-based approach that integrated microarray technology and regression modeling for predicting bioavailability (tissue residue) of explosives compounds in exposed earthworms. In the present study, we further compared 18 different regression models and performed variable selection simultaneously with parameter estimation. Results This refined approach was applied to both previously collected and newly acquired earthworm microarray gene expression datasets for three explosive compounds. Our results demonstrate that a prediction accuracy of R2 = 0.71–0.82 was achievable at a relatively low model complexity with as few as 3–10 predictor genes per model. These results are much more encouraging than our previous ones. Conclusion This study has demonstrated that our approach is promising for bioavailability measurement, which warrants further studies of mixed contamination scenarios in field settings Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2541-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ping Gong
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA.
| | - Xiaofei Nan
- Department of Computer and Information Science, University of Mississippi, Oxford, Mississippi, 38677, USA. .,Present Address: School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, 450001, China.
| | | | - Robert E Boyd
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA.
| | - Yixin Chen
- Department of Computer and Information Science, University of Mississippi, Oxford, Mississippi, 38677, USA.
| | - Dawn E Wilkins
- Department of Computer and Information Science, University of Mississippi, Oxford, Mississippi, 38677, USA.
| | | | - Burton C Suedel
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA.
| | - Edward J Perkins
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA.
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