Print Email Facebook Twitter Integrated analysis of toxicity data of two pharmaceutical immunosuppressants and two environmental pollutants with immunomodulating properties to improve the understanding of side effects: A toxicopathologist׳s view Title Integrated analysis of toxicity data of two pharmaceutical immunosuppressants and two environmental pollutants with immunomodulating properties to improve the understanding of side effects: A toxicopathologist׳s view Author Kuper, C.F. Vogels, J. Kemmerling, J. Fehlert, E. Rühl‐Fehlert, C. Vohr, H.W. Krul, C. Publication year 2015 Abstract Data in a toxicity test are evaluated generally per parameter. Information on the response per animal in addition to per parameter can improve the evaluation of the results. The results from the six studies in rats, described in the paper by Kemmerling, J., Fehlert, E., Rühl-Fehlert, C., Kuper, C.F., Stropp, G., Vogels, J., Krul, C., Vohr, H.-W., 2015. The transferability from rat subacute 4-week oral toxicity study to translational research exemplified by two pharmaceutical immunosuppressants and two environmental pollutants with immunomodulating properties (In this issue), have been subjected to principal component analysis (PCA) and principal component discriminant analysis (PC-DA). The two pharmaceuticals azathioprine (AZA) and cyclosporine A (CSA) and the two environmental pollutants hexachlorobenzene (HCB) and benzo(a)pyrene (BaP) all modulate the immune system, albeit that their mode of immunomodulation is quite diverse. PCA illustrated the similarities between the two independent studies with AZA (AZA1 and AZA2) and CSA (CSA1 and CSA2). The PC-DA on data of the AZA2 study did not increase substantially the information on dose levels. In general, the no-effect levels were lower upon single parameter analysis than indicated by the distances between the dose groups in the PCA. This was mostly due to the expert judgment in the single parameter evaluation, which took into account outstanding pathology in only one or two animals. The PCA plots did not reveal sex-related differences in sensitivity, but the key pathology for males and females differed. The observed variability in some of the control groups was largely a peripheral blood effect. Most importantly, PCA analysis identified several animals outside the 95% confidence limit indicating high-responders; also low-to-non-responders were identified. The key pathology enhanced the understanding of the response of the animals to the four model compounds. Subject LifeRAPID - Risk Analysis for Products in DevelopmentELSS - Earth, Life and Social SciencesFood and NutritionNutritionHealthy LivingPrincipal component analysisDiscriminant analysisOutliersHigh respondersNonresponders To reference this document use: http://resolver.tudelft.nl/uuid:e594527e-7f5a-45e8-8355-317b3acae2e3 DOI https://doi.org/10.1016/j.ejphar.2015.03.045 TNO identifier 525822 Source European Journal of Pharmacology, 759, 343-355 Article number 69848 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.