View : 47 Download: 0

Predictive capacity of a non-radioisotopic local lymph node assay using flow cytometry, LLNA: BrdU-FCM: Comparison of a cutoff approach and inferential statistics

Title
Predictive capacity of a non-radioisotopic local lymph node assay using flow cytometry, LLNA: BrdU-FCM: Comparison of a cutoff approach and inferential statistics
Authors
Kim, Da-eunYang, HyeriJang, Won-HeeJung, Kyoung-MiPark, MiyoungChoi, Jin KyuJung, Mi-SookJeon, Eun-YoungHeo, YongYeo, Kyung-WookJo, Ji-HoonPark, Jung EunSohn, Soo JungKim, Tae SungAhn, Il YoungJeong, Tae-CheonLim, Kyung-MinBae, SeungJin
Ewha Authors
배승진임경민
SCOPUS Author ID
배승진scopus; 임경민scopus
Issue Date
2016
Journal Title
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS
ISSN
1056-8719JCR Link1873-488XJCR Link
Citation
vol. 78, pp. 76 - 84
Keywords
Local lymph node assayLLNA: BrdU-FCMPrediction modelSkin sensitizationPredictive capacityDescriptive and inferential statistics
Publisher
ELSEVIER SCIENCE INC
Indexed
SCIE; SCOPUS WOS scopus
Abstract
In order for a novel test method to be applied for regulatory purposes, its reliability and relevance, i.e., reproducibility and predictive capacity, must be demonstrated. Here, we examine the predictive capacity of a novel non-radioisotopic local lymph node assay, LLNA: BrdU-FCM (5-bromo-2'-deoxyuridine-flow cytometry), with a cutoff approach and inferential statistics as a prediction model. 22 reference substances in OECD TG429 were tested with a concurrent positive control, hexylcinnamaldehyde 25%(PC), and the stimulation index (SI) representing the fold increase in lymph node cells over the vehicle control was obtained. The optimal cutoff SI (2.7 <= cutoff <3.5), with respect to predictive capacity, was obtained by a receiver operating characteristic curve, which produced 90.9% accuracy for the 22 substances. To address the inter-test variability in responsiveness, SI values standardized with PC were employed to obtain the optimal percentage cutoff (42.6 <= cutoff <57.3% of PC), which produced 86.4% accuracy. A test substance may be diagnosed as a sensitizer if a statistically significant increase in SI is elicited. The parametric one-sided t-test and non-parametric Wilcoxon rank-sum test produced 77.3% accuracy. Similarly, a test substance could be defined as a sensitizer if the SI means of the vehicle control, and of the low, middle, and high concentrations were statistically significantly different, which was tested using ANOVA or Kruskal-Wallis, with post hoc analysis, Dunnett, or DSCF (Dwass-Steel-Critchlow-Fligner), respectively, depending on the equal variance test, producing 81.8% accuracy. The absolute SI-based cutoff approach produced the best predictive capacity, however the discordant decisions between prediction models need to be examined further. (C) 2015 Elsevier Inc. All rights reserved.
DOI
10.1016/j.vascn.2015.12.001
Appears in Collections:
약학대학 > 약학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE