An integrated pathway based on in vitro data for the human hazard assessment of nanomaterials.
暂无分享,去创建一个
Daina Romeo | Peter Wick | Beatrice Salieri | Roland Hischier | Bernd Nowack | R. Hischier | P. Wick | Beatrice Salieri | B. Nowack | Daina Romeo
[1] E. Fröhlich,et al. Toxicological Assessment of Inhaled Nanoparticles: Role of in Vivo, ex Vivo, in Vitro, and in Silico Studies , 2014, International journal of molecular sciences.
[2] Igor Linkov,et al. From "Weight of Evidence" to Quantitative Data Integration using Multicriteria Decision Analysis and Bayesian Methods , 2015, ALTEX.
[3] S. Sahu,et al. Nanotechnology: History and future. , 2015, Human & experimental toxicology.
[4] Craig A. Poland,et al. Nanotoxicity: challenging the myth of nano-specific toxicity. , 2013, Current opinion in biotechnology.
[5] Kostas Kostarelos,et al. Physiologically based pharmacokinetic modeling of nanoparticles. , 2010, ACS nano.
[6] W. MacNee,et al. The pro-inflammatory effects of low-toxicity low-solubility particles, nanoparticles and fine particles, on epithelial cells in vitro: the role of surface area , 2007, Occupational and Environmental Medicine.
[7] Pratim Biswas,et al. Assessing the relevance of in vitro studies in nanotoxicology by examining correlations between in vitro and in vivo data. , 2012, Toxicology.
[8] Richard Cubberley,et al. Applying the skin sensitisation adverse outcome pathway (AOP) to quantitative risk assessment. , 2014, Toxicology in vitro : an international journal published in association with BIBRA.
[9] Frédéric J. Baud. Pharmacokinetic-pharmacodynamic relationships. How are they useful in human toxicology? , 1998, Toxicology letters.
[10] O. Jolliet,et al. A PBPK model to elucidate processes governing distribution and excretion of polyacrylamide nanoparticles , 2007 .
[11] Jochem Louisse,et al. Use of Physiologically Based Kinetic Modeling-Based Reverse Dosimetry to Predict in Vivo Toxicity from in Vitro Data. , 2017, Chemical research in toxicology.
[12] M. DeVito,et al. Dose-response relationships in mice following subchronic exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin: CYP1A1, CYP1A2, estrogen receptor, and protein tyrosine phosphorylation. , 1994, Toxicology and applied pharmacology.
[13] M. Roberts,et al. Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles. , 2016, Nano letters.
[14] L. Lamon,et al. Physiologically based mathematical models of nanomaterials for regulatory toxicology: A review , 2019, Computational toxicology.
[15] Andrew Povey. Molecular Assessment of Exposure, Effect, and Effect Modification , 2008 .
[16] Joel G Pounds,et al. ISDD: A computational model of particle sedimentation, diffusion and target cell dosimetry for in vitro toxicity studies , 2010, Particle and Fibre Toxicology.
[17] W. D. de Jong,et al. The kinetics of the tissue distribution of silver nanoparticles of different sizes. , 2010, Biomaterials.
[18] Paul Jennings,et al. Application of three approaches for quantitative AOP development to renal toxicity , 2019, Computational Toxicology.
[19] Jerzy Leszczynski,et al. Nanomaterials – the Next Great Challenge for Qsar Modelers , 2009, Recent Advances in QSAR Studies.
[20] F. J. Miller,et al. Modeling particle deposition in the pig respiratory tract , 2016 .
[21] Shraddha S. Nigavekar,et al. Physiologically Based Pharmacokinetic Model for Composite Nanodevices: Effect of Charge and Size on In Vivo Disposition , 2012, Pharmaceutical Research.
[22] David B Warheit,et al. How meaningful are the results of nanotoxicity studies in the absence of adequate material characterization? , 2008, Toxicological sciences : an official journal of the Society of Toxicology.
[23] W. Hofmann,et al. Particle Deposition in a Multiple-Path Model of the Human Lung , 2001 .
[24] Olivier Jolliet,et al. Using a PBPK model to study the influence of different characteristics of nanoparticles on their biodistribution , 2013 .
[25] Saber M Hussain,et al. Characterization of nanomaterial dispersion in solution prior to in vitro exposure using dynamic light scattering technique. , 2008, Toxicological sciences : an official journal of the Society of Toxicology.
[26] J. Bailar,et al. Toxicity Testing in the 21st Century: A Vision and a Strategy , 2010, Journal of toxicology and environmental health. Part B, Critical reviews.
[27] Chun Wei Yap,et al. Quantitative Nanostructure–Activity Relationship modelling of nanoparticles , 2012 .
[28] R. Weissleder,et al. Modeling biological activities of nanoparticles. , 2012, Nano letters.
[29] Jae-Seong Lee,et al. Significance of adverse outcome pathways in biomarker-based environmental risk assessment in aquatic organisms. , 2015, Journal of environmental sciences.
[30] Philip Demokritou,et al. An integrated approach for the in vitro dosimetry of engineered nanomaterials , 2014, Particle and Fibre Toxicology.
[31] Chemical scoring by a rapid screening of hazard (RASH) method. , 1988, Risk analysis : an official publication of the Society for Risk Analysis.
[32] Olivier Jolliet,et al. Physiologically based pharmacokinetic modeling of polyethylene glycol-coated polyacrylamide nanoparticles in rats , 2014, Nanotoxicology.
[33] Hamidreza Ghandehari,et al. Nanoparticle Uptake: The Phagocyte Problem. , 2015, Nano today.
[34] Chu-Chih Chen,et al. Exposure estimation using repeated blood concentration measurements , 2010 .
[35] A. Tropsha,et al. Quantitative nanostructure-activity relationship modeling. , 2010, ACS nano.
[36] Ki-Tae Ha,et al. A comprehensive in vitro and in vivo study of ZnO nanoparticles toxicity. , 2013, Journal of materials chemistry. B.
[37] R. Weissleder,et al. Cell-specific targeting of nanoparticles by multivalent attachment of small molecules , 2005, Nature Biotechnology.
[38] Mark A. J. Huijbregts,et al. USEtox—the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment , 2008 .
[39] Cyrille Krul,et al. Toxicology in the 21st century--working our way towards a visionary reality. , 2011, Toxicology in vitro : an international journal published in association with BIBRA.
[40] 日本食品衛生協会,et al. 食品中の残留農薬における毒性評価の原則 = Principles for the toxicological assessment of pesticide residues in food , 1998 .
[41] T Burgdorf,et al. Workshop on the validation and regulatory acceptance of innovative 3R approaches in regulatory toxicology - Evolution versus revolution. , 2019, Toxicology in vitro : an international journal published in association with BIBRA.
[42] Jo Anne Shatkin,et al. A systematic process for identifying key events for advancing the development of nanomaterial relevant adverse outcome pathways , 2019, NanoImpact.
[43] Wim H de Jong,et al. The status of in vitro toxicity studies in the risk assessment of nanomaterials. , 2009, Nanomedicine.
[44] Andrea Torsello,et al. Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review , 2019, NanoImpact.
[45] J. Reineke,et al. Mathematical modelling of nanoparticle biodistribution: extrapolation among intravenous, oral and pulmonary administration routes , 2011 .
[46] Andrew Williams,et al. Nano-risk Science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes , 2015, Particle and Fibre Toxicology.
[47] S. Lai,et al. Evading immune cell uptake and clearance requires PEG grafting at densities substantially exceeding the minimum for brush conformation. , 2014, Molecular pharmaceutics.
[48] Olivier Jolliet,et al. In vivo biodistribution and physiologically based pharmacokinetic modeling of inhaled fresh and aged cerium oxide nanoparticles in rats , 2016, Particle and Fibre Toxicology.
[49] H. Buist,et al. Derivation of health effect factors for nanoparticles to be used in LCIA , 2017 .
[50] K Rowland-Yeo,et al. Basic Concepts in Physiologically Based Pharmacokinetic Modeling in Drug Discovery and Development , 2013, CPT: pharmacometrics & systems pharmacology.
[51] Morteza Mahmoudi,et al. Biological Identity of Nanoparticles In Vivo: Clinical Implications of the Protein Corona. , 2017, Trends in biotechnology.
[52] Greg Tegart,et al. Nanotechnology: the technology for the twenty‐first century , 2004 .
[53] Manuela Semmler-Behnke,et al. Air-blood barrier translocation of tracheally instilled gold nanoparticles inversely depends on particle size. , 2014, ACS nano.
[54] R M Putzrath,et al. Estimating relative potency for receptor-mediated toxicity: reevaluating the toxicity equivalence factor (TEF) model. , 1997, Regulatory toxicology and pharmacology : RTP.
[55] Jerzy Leszczynski,et al. Advancing risk assessment of engineered nanomaterials: application of computational approaches. , 2012, Advanced drug delivery reviews.
[56] Roberto Tagliaferri,et al. INSIdE NANO: a systems biology framework to contextualize the mechanism-of-action of engineered nanomaterials , 2019, Scientific Reports.
[57] Igor Linkov,et al. Weight-of-evidence evaluation in environmental assessment: review of qualitative and quantitative approaches. , 2009, The Science of the total environment.
[58] P. Ramarao,et al. Accumulated polymer degradation products as effector molecules in cytotoxicity of polymeric nanoparticles. , 2013, Toxicological sciences : an official journal of the Society of Toxicology.
[59] Antonio Marcomini,et al. Grouping and Read-Across Approaches for Risk Assessment of Nanomaterials , 2015, International journal of environmental research and public health.
[60] Myrtill Simkó,et al. The changing face of nanomaterials: Risk assessment challenges along the value chain , 2017, Regulatory toxicology and pharmacology : RTP.
[61] Lisa M. Sweeney,et al. Advances in Inhalation Dosimetry Models and Methods for Occupational Risk Assessment and Exposure Limit Derivation , 2015, Journal of occupational and environmental hygiene.
[62] Yogesh Chandra Sharma,et al. Critical Review on the Toxicity of Some Widely Used Engineered Nanoparticles , 2015 .
[63] Thomas Hartung,et al. A Toxicology for the 21st Century—Mapping the Road Ahead , 2009, Toxicological sciences : an official journal of the Society of Toxicology.
[64] P. Biswas,et al. Concept of Assessing Nanoparticle Hazards Considering Nanoparticle Dosemetric and Chemical/Biological Response Metrics , 2010, Journal of toxicology and environmental health. Part A.
[65] Melvin E Andersen,et al. Toxicity testing in the 21st century: bringing the vision to life. , 2009, Toxicological sciences : an official journal of the Society of Toxicology.
[66] Kathleen A Fitzgerald,et al. Life in 3D is never flat: 3D models to optimise drug delivery. , 2015, Journal of controlled release : official journal of the Controlled Release Society.
[67] G. Johanson,et al. Physiologically based pharmacokinetic modeling of nanoceria systemic distribution in rats suggests dose- and route-dependent biokinetics , 2018, International journal of nanomedicine.
[68] Jim E Riviere,et al. A physiologically based pharmacokinetic model for polyethylene glycol-coated gold nanoparticles of different sizes in adult mice , 2015, Nanotoxicology.
[69] Philip Demokritou,et al. Preparation, characterization, and in vitro dosimetry of dispersed, engineered nanomaterials , 2017, Nature Protocols.
[70] Jean-François Hochepied,et al. Towards an alternative to nano-QSAR for nanoparticle toxicity ranking in case of small datasets , 2019, Journal of Nanoparticle Research.
[71] Weida Tong,et al. Assessing QSAR Limitations - A Regulatory Perspective , 2005 .
[72] P. Wick,et al. Advanced human in vitro models to assess metal oxide nanoparticle-cell interactions , 2014, MRS Bulletin.
[73] David B Warheit,et al. Assessing toxicity of fine and nanoparticles: comparing in vitro measurements to in vivo pulmonary toxicity profiles. , 2007, Toxicological sciences : an official journal of the Society of Toxicology.
[74] Jerzy Leszczynski,et al. Toward comprehension of multiple human cells uptake of engineered nano metal oxides: quantitative inter cell line uptake specificity (QICLUS) modeling , 2018, Nanotoxicology.
[75] P. Wick,et al. An advanced human in vitro co-culture model for translocation studies across the placental barrier , 2018, Scientific Reports.
[76] G. Oberdörster,et al. Nanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles , 2005, Environmental health perspectives.
[77] R. Hischier,et al. Relative potency factor approach enables the use of in vitro information for estimation of human effect factors for nanoparticle toxicity in life-cycle impact assessment , 2020, Nanotoxicology.
[78] G. Rebitzera,et al. Life cycle assessment Part 1 : Framework , goal and scope definition , inventory analysis , and applications , 2004 .
[79] David M. Brown,et al. Proinflammogenic Effects of Low-Toxicity and Metal Nanoparticles In Vivo and In Vitro: Highlighting the Role of Particle Surface Area and Surface Reactivity , 2007, Inhalation toxicology.
[80] Natalie von Goetz,et al. Translocation of gold nanoparticles across the lung epithelial tissue barrier: Combining in vitro and in silico methods to substitute in vivo experiments , 2015, Particle and Fibre Toxicology.
[81] S. Klaine,et al. Paradigms to assess the environmental impact of manufactured nanomaterials , 2012, Environmental toxicology and chemistry.
[82] Olivier Jolliet,et al. Toward a general physiologically-based pharmacokinetic model for intravenously injected nanoparticles , 2016, International journal of nanomedicine.
[83] Jeffry D. Schroeter,et al. Improvements and additions to the Multiple Path Particle Dosimetry model , 2016 .
[84] Jeremy M. Gernand,et al. Approaches to Develop Alternative Testing Strategies to Inform Human Health Risk Assessment of Nanomaterials , 2016, Risk analysis : an official publication of the Society for Risk Analysis.
[85] John D. Walker,et al. Quantitative structure–activity relationships (QSARs) in toxicology: a historical perspective , 2003 .
[86] Marcelle C. McManus,et al. Use of LCA as a development tool within early research: challenges and issues across different sectors , 2013, The International Journal of Life Cycle Assessment.
[87] Javad Sovizi,et al. Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles , 2018, Medical Imaging.
[88] B. Asgharian,et al. A multiple-path model of particle deposition in the rat lung. , 1995, Fundamental and applied toxicology : official journal of the Society of Toxicology.
[89] Melvin E Andersen,et al. Adverse Outcome Pathways can drive non-animal approaches for safety assessment , 2015, Journal of applied toxicology : JAT.
[90] Jelena Srebric,et al. Advanced computational modeling for in vitro nanomaterial dosimetry , 2015, Particle and Fibre Toxicology.
[91] Qasim Chaudhry,et al. Aligning nanotoxicology with the 3Rs: What is needed to realise the short, medium and long-term opportunities? , 2017, Regulatory toxicology and pharmacology : RTP.
[92] J. Giesy,et al. Relative potencies of individual polycyclic aromatic hydrocarbons to induce dioxinlike and estrogenic responses in three cell lines , 2002, Environmental toxicology.
[93] S. Okabe,et al. In vitro toxicity of silver nanoparticles at noncytotoxic doses to HepG2 human hepatoma cells. , 2009, Environmental science & technology.
[94] Edward J. Perkins,et al. Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology. , 2017, Environmental science & technology.
[95] I. Yu,et al. Estimation of human equivalent exposure from rat inhalation toxicity study of silver nanoparticles using multi-path particle dosimetry model , 2012 .
[96] Ming-Hsien Tsai,et al. Computational and ultrastructural toxicology of a nanoparticle, Quantum Dot 705, in mice. , 2008, Environmental science & technology.
[97] Bernd Nowack,et al. Life cycle assessment of manufactured nanomaterials: Where are we? , 2018 .
[98] Sharon Munn,et al. Adverse outcome pathway (AOP) development I: strategies and principles. , 2014, Toxicological sciences : an official journal of the Society of Toxicology.
[99] Kristen K. Comfort,et al. Less is more: long-term in vitro exposure to low levels of silver nanoparticles provides new insights for nanomaterial evaluation. , 2014, ACS nano.
[100] Bengt Fadeel,et al. Advanced tools for the safety assessment of nanomaterials , 2018, Nature Nanotechnology.
[101] Konrad Hungerbühler,et al. A physiologically based pharmacokinetic model for ionic silver and silver nanoparticles , 2013, International journal of nanomedicine.
[102] Comparative iron oxide nanoparticle cellular dosimetry and response in mice by the inhalation and liquid cell culture exposure routes , 2014, Particle and Fibre Toxicology.
[103] Antonio Marcomini,et al. Frameworks and tools for risk assessment of manufactured nanomaterials. , 2016, Environment international.
[104] Phil Sayre,et al. In vitro approaches to assess the hazard of nanomaterials , 2017 .
[105] Edward J. Perkins,et al. The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment , 2017, Toxicological sciences : an official journal of the Society of Toxicology.
[106] Hsinchun Chen,et al. Trends in nanotechnology patents. , 2008, Nature nanotechnology.
[107] J. Hengstler,et al. The REACH concept and its impact on toxicological sciences. , 2006, Toxicology.
[108] L. Sweeney,et al. Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats. , 2015, Regulatory toxicology and pharmacology : RTP.
[109] Joel M. Cohen,et al. A critical review of in vitro dosimetry for engineered nanomaterials. , 2015, Nanomedicine.
[110] Jim E Riviere,et al. A computational framework for interspecies pharmacokinetics, exposure and toxicity assessment of gold nanoparticles. , 2016, Nanomedicine.
[111] John P. Giesy,et al. Derivation and application of relative potency estimates based on in vitro bioassay results , 2000 .
[112] M. Diociaiuti,et al. In vitro effects on macrophages induced by noncytotoxic doses of silica particles possibly relevant to ambient exposure. , 2004, Environmental research.
[113] Manuel C. Peitsch,et al. Systems Toxicology: From Basic Research to Risk Assessment , 2014, Chemical research in toxicology.
[114] N. Monteiro-Riviere,et al. Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling , 2018, Nanotoxicology.
[115] Vicki Stone,et al. Efficacy of Simple Short-Term in Vitro Assays for Predicting the Potential of Metal Oxide Nanoparticles to Cause Pulmonary Inflammation , 2008, Environmental health perspectives.
[116] Leanne M. Gilbertson,et al. Research highlights: applications of life-cycle assessment as a tool for characterizing environmental impacts of engineered nanomaterials , 2017 .
[117] K. Hungerbuhler,et al. Using physiologically based pharmacokinetic (PBPK) modeling for dietary risk assessment of titanium dioxide (TiO2) nanoparticles , 2015, Nanotoxicology.
[118] F. J. Miller,et al. Development of a rhesus monkey lung geometry model and application to particle deposition in comparison to humans , 2012, Inhalation toxicology.
[119] Thomas Hartung,et al. Lessons Learned from Alternative Methods and their Validation for a New Toxicology in the 21st Century , 2010, Journal of toxicology and environmental health. Part B, Critical reviews.
[120] Vladimir B Bajic,et al. In silico toxicology: computational methods for the prediction of chemical toxicity , 2016, Wiley interdisciplinary reviews. Computational molecular science.
[121] Gregory Morose,et al. The 5 principles of “Design for Safer Nanotechnology” , 2010 .
[122] Bas J Blaauboer,et al. Quantitative in vitro to in vivo extrapolation (QIVIVE): An essential element for in vitro-based risk assessment. , 2015, Toxicology.
[123] Abderrahim Nemmar,et al. Development of a physiologically based kinetic model for 99m-Technetium-labelled carbon nanoparticles inhaled by humans , 2009, Inhalation toxicology.
[124] Iris Eisenberger,et al. Making Nanomaterials Safer by Design? , 2017 .
[125] H Derendorf,et al. Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling. , 1997, International journal of clinical pharmacology and therapeutics.
[126] Sharon Munn,et al. The Adverse Outcome Pathway approach in nanotoxicology , 2017 .
[127] A Worth,et al. Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques , 2018, Particle and Fibre Toxicology.
[128] Masoud Jamei,et al. Recent Advances in Development and Application of Physiologically-Based Pharmacokinetic (PBPK) Models: a Transition from Academic Curiosity to Regulatory Acceptance , 2016, Current Pharmacology Reports.
[129] Bernd Nowack,et al. Analysis of the occupational, consumer and environmental exposure to engineered nanomaterials used in 10 technology sectors , 2012, Nanotoxicology.
[130] Mohammad Hossein Fatemi,et al. Modeling the cellular uptake of magnetofluorescent nanoparticles in pancreatic cancer cells : a quantitative structure activity relationship study , 2012 .
[131] Anna Forsby,et al. Integration of in vitro neurotoxicity data with biokinetic modelling for the estimation of in vivo neurotoxicity , 2007, Human & experimental toxicology.
[132] Chung-Min Liao,et al. Physiologically based pharmacokinetic modeling of zinc oxide nanoparticles and zinc nitrate in mice , 2015, International journal of nanomedicine.
[133] Mathieu Vinken,et al. Omics-based input and output in the development and use of adverse outcome pathways , 2019, Current Opinion in Toxicology.
[134] S. Orchard,et al. Omics technologies, data and bioinformatics principles. , 2011, Methods in molecular biology.