scholarly journals Application of in silico and in vitro methods in the development of adverse outcome pathway constructs in wildlife

2014 ◽  
Vol 369 (1656) ◽  
pp. 20130584 ◽  
Author(s):  
Judith C. Madden ◽  
Vera Rogiers ◽  
Mathieu Vinken

There is a long history of using both in silico and in vitro methods to predict adverse effects in humans and environmental species where toxicity data are lacking. Currently, there is a great deal of interest in applying these methods to the development of so-called ‘adverse outcome pathway’ (AOP) constructs. The AOP approach provides a framework for organizing information at the chemical and biological level, allowing evidence from both in silico and in vitro studies to be rationally combined to fill gaps in knowledge concerning toxicological events. Fundamental to this new paradigm is a greater understanding of the mechanisms of toxicity and, in particular, where these mechanisms may be conserved across taxa, such as between model animals and related wild species. This presents an opportunity to make predictions across diverse species, where empirical data are unlikely to become available as is the case for most species of wildlife.

2020 ◽  
Vol 14 ◽  
pp. 100123 ◽  
Author(s):  
Florentina Troger ◽  
Johannes Delp ◽  
Melina Funke ◽  
Wanda van der Stel ◽  
Claire Colas ◽  
...  

2020 ◽  
Vol 140 ◽  
pp. 111303 ◽  
Author(s):  
Francesca Metruccio ◽  
Luca Palazzolo ◽  
Francesca Di Renzo ◽  
Maria Battistoni ◽  
Elena Menegola ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 180
Author(s):  
Maud Weiss ◽  
Jiahui Fan ◽  
Mickaël Claudel ◽  
Luc Lebeau ◽  
Françoise Pons ◽  
...  

With the growth of nanotechnologies, concerns raised regarding the potential adverse effects of nanoparticles (NPs), especially on the respiratory tract. Adverse outcome pathways (AOP) have become recently the subject of intensive studies in order to get a better understanding of the mechanisms of NP toxicity, and hence hopefully predict the health risks associated with NP exposure. Herein, we propose a putative AOP for the lung toxicity of NPs using emerging nanomaterials called carbon dots (CDs), and in vivo and in vitro experimental approaches. We first investigated the effect of a single administration of CDs on mouse airways. We showed that CDs induce an acute lung inflammation and identified airway macrophages as target cells of CDs. Then, we studied the cellular responses induced by CDs in an in vitro model of macrophages. We observed that CDs are internalized by these cells (molecular initial event) and induce a series of key events, including loss of lysosomal integrity and mitochondrial disruption (organelle responses), as well as oxidative stress, inflammasome activation, inflammatory cytokine upregulation and macrophage death (cellular responses). All these effects triggering lung inflammation as tissular response may lead to acute lung injury.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Luigi Margiotta-Casaluci ◽  
Stewart F. Owen ◽  
Belinda Huerta ◽  
Sara Rodríguez-Mozaz ◽  
Subramanian Kugathas ◽  
...  

Abstract The Adverse Outcome Pathway (AOP) framework represents a valuable conceptual tool to systematically integrate existing toxicological knowledge from a mechanistic perspective to facilitate predictions of chemical-induced effects across species. However, its application for decision-making requires the transition from qualitative to quantitative AOP (qAOP). Here we used a fish model and the synthetic glucocorticoid beclomethasone dipropionate (BDP) to investigate the role of chemical-specific properties, pharmacokinetics, and internal exposure dynamics in the development of qAOPs. We generated a qAOP network based on drug plasma concentrations and focused on immunodepression, skin androgenisation, disruption of gluconeogenesis and reproductive performance. We showed that internal exposure dynamics and chemical-specific properties influence the development of qAOPs and their predictive power. Comparing the effects of two different glucocorticoids, we highlight how relatively similar in vitro hazard-based indicators can lead to different in vivo risk. This discrepancy can be predicted by their different uptake potential, pharmacokinetic (PK) and pharmacodynamic (PD) profiles. We recommend that the development phase of qAOPs should include the application of species-specific uptake and physiologically-based PK/PD models. This integration will significantly enhance the predictive power, enabling a more accurate assessment of the risk and the reliable transferability of qAOPs across chemicals.


Physiology ◽  
2006 ◽  
Vol 21 (4) ◽  
pp. 289-296 ◽  
Author(s):  
Sriram M. Ajay ◽  
Upinder S. Bhalla

Synaptic plasticity provides a record of neuronal activity and is a likely basis for memory. The early apparent simplicity of the process of synaptic plasticity has been lost in a flood of experimental data that now implicates some 200 signaling molecules in cellular memory. It is now clear that these signaling networks perform surprisingly sophisticated cellular decisions that weigh factors such as input patterns, location of stimulus, history of activity, and context. Computer models have followed experiments into this maze of molecular detail, often matching closely with their experimental counterparts, but perhaps losing simplicity in the process. Here, we suggest that the merger of models and experiment have begun to restore the earlier simplicity by outlining a few key functional roles for signaling networks in synaptic plasticity. In this review, we discuss the current state of understanding of synaptic plasticity in terms of models and experiments.


2021 ◽  
Vol 350 ◽  
pp. S51
Author(s):  
K. Koch ◽  
M. Elgamal ◽  
S. Masjosthusmann ◽  
I. Lauria ◽  
R Hartmann ◽  
...  

2021 ◽  
pp. 105300
Author(s):  
Jâmeson Ferreira da Silva ◽  
Dione Silva Corrêa ◽  
Érico Leite Campos ◽  
Giovana Zamprônio Leite ◽  
João Denis Medeiros de Oliveira ◽  
...  

2015 ◽  
Vol 8 (3) ◽  
pp. 95-105 ◽  
Author(s):  
Sivakumar Prasanth Kumar ◽  
Vilas R. Parmar ◽  
Yogesh T. Jasrai ◽  
Himanshu A. Pandya

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