Literature DB >> 27410253

E-cigarettes and the need and opportunities for alternatives to animal testing.

Thomas Hartung1,2.   

Abstract

E-cigarettes have become within only one decade an important commodity, changing the market of the most mass-killing commercial product. While a few years ago estimates suggested that in the course of the 21st century one billion people would die prematurely from tobacco consumption, e-cigarettes continuously gaining popularity promise 10-30fold lower health effects, possibly strongly changing this equation. However, they still are not a harmless life-style drug. Acceptability simply depends on whether we compare their use to smoking or to not-smoking. In the absence of long-term follow-up health data of users, additional uncertainty comes from the lack of safety data, though this uncertainty likely only is whether they represent 3 or 10% of the risk of their combustible counterpart. This means that there is little doubt that they represent a prime opportunity for smokers to switch, but also that their use by non-smokers should be avoided where possible. The real safety concerns, however, are that e-cigarettes expose their users to many compounds, contaminants and especially flavors (more than 7,000 according to recent counts), which have mostly not been tested, especially not for long-term inhalation exposure. Neither the precautionary traditional animal testing nor post-marketing surveillance will offer us data of sufficient quality or sufficiently fast to support product development and regulatory decisions. Thus, alternative methods lend themselves to fill this gap, making this new product category a possible engine for new method development and its implementation and validation.

Entities:  

Keywords:  alternative methods; electronic cigarettes; non-animal methods; safety testing; tobacco

Mesh:

Substances:

Year:  2016        PMID: 27410253     DOI: 10.14573/altex.1606291

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  4 in total

1.  Use of a rapid human primary cell-based disease screening model, to compare next generation products to combustible cigarettes.

Authors:  Liam Simms; Elizabeth Mason; Ellen L Berg; Fan Yu; Kathryn Rudd; Lukasz Czekala; Edgar Trelles Sticken; Oleg Brinster; Roman Wieczorek; Matthew Stevenson; Tanvir Walele
Journal:  Curr Res Toxicol       Date:  2021-08-17

2.  Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.

Authors:  Thomas Luechtefeld; Dan Marsh; Craig Rowlands; Thomas Hartung
Journal:  Toxicol Sci       Date:  2018-09-01       Impact factor: 4.849

3.  Systems toxicology assessment of a representative e-liquid formulation using human primary bronchial epithelial cells.

Authors:  Diego Marescotti; Carole Mathis; Vincenzo Belcastro; Patrice Leroy; Stefano Acali; Florian Martin; Rémi Dulize; David Bornand; Dariusz Peric; Emmanuel Guedj; Laura Ortega Torres; Matteo Biasioli; Matthieu Fuhrimann; Estela Fernandes; Felix Frauendorfer; Ignacio Gonzalez Suarez; Davide Sciuscio; Nikolai V Ivanov; Manuel C Peitsch; Julia Hoeng
Journal:  Toxicol Rep       Date:  2019-11-25

4.  Effect of sub-chronic exposure to cigarette smoke, electronic cigarette and waterpipe on human lung epithelial barrier function.

Authors:  Baishakhi Ghosh; Hermes Reyes-Caballero; Sevcan Gül Akgün-Ölmez; Kristine Nishida; Lakshmana Chandrala; Lena Smirnova; Shyam Biswal; Venkataramana K Sidhaye
Journal:  BMC Pulm Med       Date:  2020-08-12       Impact factor: 3.317

  4 in total

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