Literature DB >> 1451456

The value of the local lymph node assay in quantitative structure-activity investigations.

D A Basketter1, D W Roberts, M Cronin, E W Scholes.   

Abstract

The development of quantitative correlations between the physicochemical properties of a compound and its ability to act as a skin sensitizer is complicated by the number of variables associated with the current sensitization test data, combined with the absence of a truly objective end point. Recently, however, a novel approach to the assessment of skin sensitization potential, the local lymph node assay (LLNA), has been described, which determines the skin sensitization by measuring lymphocyte proliferation in lymph nodes draining the site of chemical exposure. The assay offers several advantages over traditional methods in the context of quantitative structure-activity relationship studies. In the present work, a range of bromoalkanes has been employed which demonstrate the robustness and reproducibility of the LLNA. Sensitizing activity increased with chain length up to a maximum at C15/C16, whereafter the response declined. The data were modelled against hydrophobicity, expressed as Clog P and (ClogP)2 to fit the biphasic nature of the results. The results demonstrate the utility of LLNA data for interpretation in the context of quantitative structure-activity relationships, the limited number of variables, inter-test reproducibility and quantitative end point, lending themselves to mathematical interpretations.

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Year:  1992        PMID: 1451456     DOI: 10.1111/j.1600-0536.1992.tb05241.x

Source DB:  PubMed          Journal:  Contact Dermatitis        ISSN: 0105-1873            Impact factor:   6.600


  5 in total

1.  4D-fingerprint categorical QSAR models for skin sensitization based on the classification of local lymph node assay measures.

Authors:  Yi Li; Yufeng J Tseng; Dahua Pan; Jianzhong Liu; Petra S Kern; G Frank Gerberick; Anton J Hopfinger
Journal:  Chem Res Toxicol       Date:  2007-01       Impact factor: 3.739

2.  Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds.

Authors:  Vinicius M Alves; Eugene Muratov; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Toxicol Appl Pharmacol       Date:  2015-01-03       Impact factor: 4.219

3.  Nonlinear quantitative structure-property relationship modeling of skin permeation coefficient.

Authors:  Brian J Neely; Sundararajan V Madihally; Robert L Robinson; Khaled A M Gasem
Journal:  J Pharm Sci       Date:  2009-11       Impact factor: 3.534

4.  A local lymph-node assay validation study of a structure-activity relationship model for contact allergens.

Authors:  J J Hostýnek; A I Lauerma; P S Magee; E Bloom; H I Maibach
Journal:  Arch Dermatol Res       Date:  1995       Impact factor: 3.017

Review 5.  Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.

Authors:  Mark T D Cronin; Joanna S Jaworska; John D Walker; Michael H I Comber; Christopher D Watts; Andrew P Worth
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

  5 in total

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