In vitro Models for Chemical Toxicity: Review of their Applications and Prospects

Rim, Kyung-Taek

doi:10.1007/s13530-019-0402-8

Cited by 22 publications

(11 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, this exposure mode allows studying the impact of a real atmospheric concentration of a gaseous compound and not a dose diluted in culture medium, which could lead to the inactivation of the solubilized compounds (Dwivedi, Upadhyay, Johanson, Ernstgård, & Palmberg, 2018). In vitro methods also prove to be suitable for assessing the impact of repeated exposures on cell response (Rim, 2019). However, there is no consensus yet on the protocols for applying these recent methods.…”

Section: Discussionmentioning

confidence: 99%

Toxicological responses of BEAS‐2B cells to repeated exposures to benzene, toluene, m‐xylene, and mesitylene using air–liquid interface method

Meausoone

Landkocz

Cazier

et al. 2020

J of Applied Toxicology

View full text Add to dashboard Cite

In order to reduce exposure to toxic chemicals, the European REACH regulation (1907/2006) recommends substituting toxic molecules with compounds that are less harmful to human health and the environment. Toluene is one of the most frequently used solvents in industries despite its toxicity. The objective of this study is to better understand and compare the toxicity of toluene and its homologues in a bronchial cell model. Thus, human bronchial BEAS‐2B cells were exposed to steams of toluene, m‐xylene, mesitylene (1,3,5‐trimethylbenzene), and benzene (20 and 100 ppm). Exposure was carried out using an air–liquid interface (ALI) system (Vitrocell) during 1 h/day for 1, 3, or 5 days. Cytotoxicity, xenobiotic metabolism enzyme gene expression, and inflammatory response were evaluated following cell exposures. BEAS‐2B cell exposure to toluene and its homologues revealed the involvement of major (CYP2E1) and minor metabolic pathways (CYP1A1). A late induction of genes (EPHX1, DHDH, ALDH2, and ALDH3B1) was measured from Day 3 and can be linked to the formation of metabolites. An increase in the secretion level of inflammatory markers (TNF‐α, IL‐6, IL‐8, MCP‐1, and GM‐CSF) was also observed. In parallel, regulation between inflammatory mediators and the expression of transmembrane glycoprotein mucin MUC1 was also studied. This in vitro approach with ALI system points out the relevance of conducting repeated exposures to detect potential late effects. The difference recorded after cell exposure to toluene and its homologues highlights the importance of substitution principle.

show abstract

Section: Discussionmentioning

confidence: 99%

Toxicological responses of BEAS‐2B cells to repeated exposures to benzene, toluene, m‐xylene, and mesitylene using air–liquid interface method

Meausoone

Landkocz

Cazier

et al. 2020

J of Applied Toxicology

View full text Add to dashboard Cite

show abstract

“…In the last decade or so, many companies have developed their own internal genotoxicity models built using chemical structure and bacterial mutagenicity data, but the analysis uses internal in-house compounds in the training model, and trains by combining in-house and public data [36]. The genotoxic impurities play a critical role in carcinogenesis, and impurities that affect pharmaceutical, safety, efficacy, and drug quality are attracting increasing interest in regulatory agencies and related industries [37]. Toxicity is defined as a series of events resulting from exposure to, and the distribution and metabolism of chemicals, and ultimately, interactions with other macromolecules in the cell, that is, interactions with DNA or proteins with various toxicity endpoints [38].…”

Section: Prediction Of the Mutagenicity Of Chemicalsmentioning

confidence: 99%

In silico prediction of toxicity and its applications for chemicals at work

Rim

2020

Toxicol. Environ. Health Sci.

Self Cite

View full text Add to dashboard Cite

Objective and methods This study reviewed the concept of in silico prediction of chemical toxicity for prevention of occupational cancer and future prospects in workers' health. In this review, a new approach to determine the credibility of in silico predictions with raw data is explored, and the method of determining the confidence level of evaluation based on the credibility of data is discussed. I searched various papers and books related to the in silico prediction of chemical toxicity and carcinogenicity. The intention was to utilize the most recent reports after 2015 regarding in silico prediction. Results and conclusion The application of in silico methods is increasing with the prediction of toxic risks to human and the environment. The various toxic effects of industrial chemicals have triggered the recognition of the importance of using a combination of in silico models in the risk assessments. In silico occupational exposure models, industrial accidents, and occupational cancers are effectively managed and chemicals evaluated. It is important to identify and manage hazardous substances proactively through the rigorous evaluation of chemicals.

show abstract

“…In many cases, it has been reported that cells from one organ are used to represent the same particular cell type, but in a different organ. [43] A prime example of this is the human umbilical endothelial cell (HUVEC). These are relatively inexpensive, are easy to culture, and can be used for multiple passages with little to no mutation shift.…”

Section: (3 Of 6)mentioning

confidence: 99%

An Alternative Perspective towards Reducing the Risk of Engineered Nanomaterials to Human Health

Clift

Jenkins

Doak

2020

Small

View full text Add to dashboard Cite

show abstract

In vitro Models for Chemical Toxicity: Review of their Applications and Prospects

Cited by 22 publications

References 57 publications

Toxicological responses of BEAS‐2B cells to repeated exposures to benzene, toluene, m‐xylene, and mesitylene using air–liquid interface method

Toxicological responses of BEAS‐2B cells to repeated exposures to benzene, toluene, m‐xylene, and mesitylene using air–liquid interface method

In silico prediction of toxicity and its applications for chemicals at work

An Alternative Perspective towards Reducing the Risk of Engineered Nanomaterials to Human Health

Contact Info

Product

Resources

About