Toxicological risk assessment and multi-system health impacts from exposure /
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Academic Press,
2021.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover
- Toxicological Risk Assessment and Multi-System Health Impacts From Exposure
- Copyright Page
- Contents
- List of contributors
- About the editor
- Preface
- Endorsements
- 1 Modern tools and concepts in toxicology testing
- 1 Mixture toxicity evaluation in modern toxicology
- 1.1 Introduction
- 1.2 Real-life exposure scenarios
- 1.3 Current framework regarding mixture evaluation
- 1.4 A new methodology for studying toxicity under real-life exposure scenarios
- 1.5 Key examples of studies supporting the new proposed methodology
- 1.6 Challenges and further steps
- 1.7 Conclusions
- References
- 2 Alternative methods to animal experimentation and their role in modern toxicology
- 2.1 Introduction
- 2.2 Need for validated alternative methods
- 2.3 International organizations and validation centers: their role in implementating alternative methods into modern toxicology
- 2.4 Alternative methods development and implementation in the 21st century
- 2.4.1 Integrated approaches to testing and assessment
- 2.4.2 Emerging disruptive technologies in the 21st century
- 2.4.2.1 Dynamic human-on-a-chip systems
- 2.4.2.2 3D Bioprinting
- 2.4.2.3 Innovative computational methods
- 2.4.3 Application of NAMS and mechanistic data for risk assessment under the real-life risk simulation approach
- 2.5 Strengthening international harmonization and cooperation on the validation and implementation of alternative methods
- 2.6 Conclusion
- References
- 3 The exposome-a new paradigm for non-animal toxicology and integrated risk assessment
- 3.1 Introduction
- 3.2 Advancing the toxicological paradigm through exposome
- 3.2.1 Main concept
- 3.2.2 Steps toward the implementation of the exposome paradigm in toxicology
- 3.2.3 Main implications toward modern and pathway-based risk assessment.
- 3.3 Key advances proposed by the exposome paradigm in toxicology
- References
- 4 In silico toxicology, a robust approach for decision-making in the context of next-generation risk assessment
- 4.1 Introduction
- 4.2 Relevance and applicability domain of in silico methods
- 4.3 In silico computational methods for predictive toxicology of chemicals
- 4.3.1 Structurally based models
- 4.3.1.1 Structural alerts
- 4.3.1.2 Quantitative structure activity relationships modeling
- 4.3.1.3 Rule-based modeling methods
- 4.3.1.4 Chemical category approaches
- 4.3.1.5 Virtual screening
- 4.3.1.5.1 Molecular docking
- 4.3.1.5.2 Molecular dynamics
- 4.3.1.5.3 Pharmacophore-based virtual screening
- 4.3.2 Biologically based models
- 4.3.2.1 Dose- and time-response models
- 4.3.2.2 Physiologically based kinetic/dynamic modeling
- 4.3.2.3 Biologically based dose-response models
- 4.3.2.4 Quantitative adverse outcome pathways
- 4.3.3 Read-across
- 4.4 Application of in silico methods in regulatory science
- 4.4.1 Use of in silico approaches for risk assessment
- 4.4.2 Integration of in silico with other new approach methodologies for a mechanistic understanding of chemical-perturbed ...
- 4.4.3 In silico prediction of reference points
- 4.4.4 Risk assessment of chemical mixtures
- 4.5 Conclusions and future directions
- References
- 5 Safety science in the 21st century-a scientific revolution in its making
- 5.1 Introduction: Thomas S. Kuhn's view on scientific revolutions
- 5.2 Anomaly and the emergence of scientific discoveries
- 5.3 Crisis and the emergence of scientific theories
- 5.4 Response to crisis
- 5.5 Nature and necessity of scientific revolutions and revolutions as changes of world view
- 5.6 Summary and conclusions
- Acknowledgment
- References
- 6 Chemobrain
- 6.1 Introduction.
- 6.2 Cognitive, structural, and functional disruption caused by chemotherapy
- 6.3 Mechanisms associated with chemobrain
- 6.3.1 Oxidative stress
- 6.3.2 Inflammation
- 6.3.3 Death cellular mechanisms and cellular sensitivity mechanisms
- 6.3.4 Neurotransmition and other mechanisms
- 6.3.5 Genetic polymorphisms
- 6.4 Conclusions and future perspectives
- Acknowledgments
- References
- 2 Methods and toxicity models in toxicology
- 7 "Predictive in silico toxicology." An update on modern approaches and a critical analysis of its strong and weak points
- 7.1 Introduction
- 7.2 Key concepts
- 7.3 Qualitative toxicology predictions
- 7.4 Quantitative toxicology predictions
- 7.5 Structural alerts and rule-based models
- 7.6 Read-across approaches
- 7.7 Quantitative structure-activity relationships models
- 7.8 Molecular docking
- 7.9 Conclusions
- References
- 8 Analytical strategies to study the gut microbiome in toxicology
- 8.1 Introduction
- 8.2 Three generations of deoxyribonucleic acid sequencing technologies
- 8.3 Sequencing of polymerase chain reaction-amplified marker genes
- 8.4 Whole-metagenome sequencing
- 8.5 Bioinformatics: from raw reads to biological insights
- 8.6 Multiomics approaches to get closer to the phenotype
- 8.7 Can glyphosate inhibit aromatic amino acid synthesis in gut microorganisms as it does in plants?
- 8.8 Standardizing gut microbiome evaluation in guidelines for the testing of chemical toxicity
- 8.9 Concluding remarks
- References
- 9 Behavioral endpoints in adult and developmental neurotoxicity: the case of organophosphate pesticides
- 9.1 Developmental exposure to chemicals and brain function
- 9.1.1 Regulations
- 9.2 Toxics and the developing brain
- 9.2.1 Individual differences: sex and genetic vulnerability
- 9.2.2 Epigenetics and fetal programming.
- 9.3 Neurodevelopmental exposures and behavioral assessment
- 9.4 Organophosphate pesticides and behavior
- 9.4.1 Humans
- 9.4.2 Animal models
- 9.5 Conclusion
- References
- 10 Nuclear factor erythroid 2-related factor 2-mediated antioxidant response as an indicator of oxidative stress
- 10.1 Introduction
- 10.2 NRF2 activation and oxidative stress
- 10.2.1 Overview on NRF2
- 10.2.2 Oxidative stress and oxidative damage
- 10.2.3 Relationship between oxidative stress and NRF2 activation
- 10.3 Application of NRF2-ARE reporter systems in drug discovery and risk assessment
- 10.3.1 NRF2-ARE as a therapeutic target
- 10.3.2 NRF2-ARE pathway in risk assessment
- 10.3.3 NRF2-ARE reporter systems
- 10.4 How should we interpret the data on NRF2 activation and suppression?
- 10.4.1 Is the antioxidant response a meaningful indicator of oxidative stress?
- 10.4.2 General recommendations on biomarker selection for oxidative stress characterization
- 10.5 Conclusions and perspectives
- Acknowledgments
- References
- 11 The potential of complex in vitro models in pharmaceutical toxicology
- 11.1 Issues with the use of in vitro cell culture systems in pharmaceutical toxicology
- 11.1.1 The issue of pharmacological attrition: toxicity and efficacy
- 11.1.2 The need to improve on 2D in vitro models
- 11.2 Description of microphysiological systems, a complex in vitro model subtype
- 11.2.1 What are microphysiological systems?
- 11.2.2 Past to present: the evolution of MPS technology
- 11.2.3 What are the main applications of MPS?
- 11.3 Potential for replacement of 2D in vitro and animal models (3Rs)
- 11.3.1 Implementation of MPS in pharmacological research
- 11.4 Regulatory aspects of the use of CIVMs
- 11.4.1 Are MPS ready for implementation and regulatory use?
- References
- 3 New insights in risk assessment.
- 12 Health-based exposure limits and toxicology in the pharmaceutical industry
- 12.1 Introduction: cross-contamination control and history of health-based exposure limits
- 12.2 Health-based exposure limits
- 12.3 PDE derivation methodologies
- 12.4 Industrial challenges
- 12.5 Conclusion
- References
- 13 The hormetic dose response: implications for risk assessment
- 13.1 Oxidative stress in the living organisms: the background
- 13.2 A summary of the main dose-response models
- 13.3 Hormesis: a historical overview
- 13.4 Hormesis: occurrence, frequency, and quantitative features
- 13.5 Hormesis implications in toxicological testing and risk assessment
- Acknowledgments
- References
- 14 Endocrine disruption and human health risk assessment in the light of real-life risk simulation
- 14.1 Introduction
- 14.2 EDCs and the RLRS concept
- 14.2.1 RLRS concept
- 14.2.2 Mixtures
- 14.2.3 Long-term exposure
- 14.2.4 Low doses
- 14.2.5 Nonmonotonic dose-response
- 14.2.6 Implications on testing
- 14.3 Key points of risk assessment of EDs
- 14.3.1 Threshold or nonthreshold?
- 14.3.2 Adversity
- 14.3.3 Mode of action and causality
- 14.4 Conclusion
- Acknowledgment
- References
- 15 Toxicity data as the basis for acute and short-term emergency exposure guidance
- 15.1 Introduction: emergency exposures as risk-risk trade-off situations
- 15.2 General principles of risk assessment
- 15.2.1 Risk
- 15.2.2 Dose-response relationships
- 15.2.3 Exposure durations
- 15.2.4 Extrapolating the point of departure
- 15.3 Risk and chemical exposures
- 15.3.1 Risk and safety are relative terms
- 15.3.2 Exposures from chemical emergencies
- 15.3.3 Protecting health during chemical emergencies
- 15.4 Toxicity data and interpretation
- 15.4.1 Effect severity
- 15.4.2 Experimental exposure duration.