Literature DB >> 10773362

A quantitative method for assessing the sensitizing potency of low molecular weight chemicals using a local lymph node assay: employment of a regression method that includes determination of the uncertainty margins.

F M van Och1, W Slob, W H de Jong, R J Vandebriel, H van Loveren.   

Abstract

Risk assessment of sensitizing chemicals requires, besides hazard identification, the assessment of potency. To examine the sensitizing capacity of low molecular weight chemicals, a murine local lymph node assay (LLNA) was used. The sensitizing capacity of known allergens was quantified by dose-response modeling. At a stimulatory index (SI) of 3, the corresponding estimated concentration was calculated (EC(3)), together with a confidence interval to take account of the quality of the particular data set. We tested ten allergens (ethyl-p-aminobenzoate (benzocaine), diethylamine (DEA), 2,4-dinitrochlorobenzene (DNCB), 2-mercaptobenzothiazole (MBT), 4-ethoxymethylene 2-phenyl oxazol-5-one (oxazolone), phthalic anhydride (PA), toluene diisocyanate (TDI), trimellitic anhydride (TMA), tetramethylthiuramdisulfide (TMTD) and zincdimethyldithiocarbamate (ZDMC)). Oxazolone showed the strongest sensitizing potency followed in this order by DNCB, TDI, TMA, PA, TMTD, ZDMC, MBT, benzocaine and DEA. The approach performed in this study is a way to accurately assess the potency of sensitizing chemicals and thus a possibility for classification.

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Year:  2000        PMID: 10773362     DOI: 10.1016/s0300-483x(00)00165-7

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  6 in total

1.  Prediction of skin sensitization potency using machine learning approaches.

Authors:  Qingda Zang; Michael Paris; David M Lehmann; Shannon Bell; Nicole Kleinstreuer; David Allen; Joanna Matheson; Abigail Jacobs; Warren Casey; Judy Strickland
Journal:  J Appl Toxicol       Date:  2017-01-10       Impact factor: 3.446

2.  Integrated decision strategies for skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Nicole Kleinstreuer; Michael Paris; David M Lehmann; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Anna Lowit; David Allen; Warren Casey
Journal:  J Appl Toxicol       Date:  2016-02-06       Impact factor: 3.446

3.  Synthesis, biodegradability, and biocompatibility of lysine diisocyanate-glucose polymers.

Authors:  Jian-Ying Zhang; Eric J Beckman; Jing Hu; Guo-Guang Yang; Sudha Agarwal; Jeffrey O Hollinger
Journal:  Tissue Eng       Date:  2002-10

4.  Rapid and simple kinetics screening assay for electrophilic dermal sensitizers using nitrobenzenethiol.

Authors:  Itai Chipinda; Risikat O Ajibola; Moshood K Morakinyo; Tinashe B Ruwona; Reuben H Simoyi; Paul D Siegel
Journal:  Chem Res Toxicol       Date:  2010-05-17       Impact factor: 3.739

5.  CD8 T cells regulate allergic contact dermatitis by modulating CCR2-dependent TNF/iNOS-expressing Ly6C+ CD11b+ monocytic cells.

Authors:  Shu Zhen Chong; Kar Wai Tan; Fiona H S Wong; Yen Leong Chua; Yafang Tang; Lai Guan Ng; Veronique Angeli; David M Kemeny
Journal:  J Invest Dermatol       Date:  2013-09-23       Impact factor: 8.551

6.  Multivariate models for prediction of human skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Michael Paris; David M Lehmann; David Allen; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Warren Casey; Nicole Kleinstreuer
Journal:  J Appl Toxicol       Date:  2016-08-02       Impact factor: 3.446

  6 in total

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