Bioavailability Evaluation of Perchlorate in Different Foods In Vivo: Comparison with In Vitro Assays and Implications for Human Health Risk Assessment

2021 ◽  
Author(s):  
Xin Liu ◽  
Hu Zhang ◽  
Yimei Tian ◽  
Min Fang ◽  
Lin Xu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Human Health Risk Assessment ◽  
In Vitro Assays

In Vitro to In Vivo Extrapolation (IVIVE) for human health risk assessment

2013 ◽  
Vol 221 ◽  
pp. S14
Author(s):  
R. Conolly ◽  
T. McMullin ◽  
R.N. Hines ◽  
L.P. Sheets ◽  
S.M. Cohen
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Human Health Risk Assessment ◽  
In Vivo Extrapolation

In vivo and in vitro methods for evaluating soil arsenic bioavailability: relevant to human health risk assessment

2018 ◽  
Vol 21 (2) ◽  
pp. 83-114 ◽  
Author(s):  
Karen D Bradham ◽  
Gary L Diamond ◽  
Michele Burgess ◽  
Albert Juhasz ◽  
Julie M Klotzbach ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Human Health Risk Assessment ◽  
In Vitro Methods ◽  
Soil Arsenic

scholarly journals The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization

2019 ◽  
Author(s):  
Roman Mezencev ◽  
Scott Auerbach
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Microarray Data ◽  
Human Health Risk ◽  
Considerable Effect ◽  
Human Health Risk Assessment ◽  
Normalization Methods

AbstractWhole-genome expression data generated by microarray studies have shown promise for quantitative human health risk assessment. While numerous approaches have been developed to determine benchmark doses (BMDs) from probeset-level dose responses, sensitivity of the results to methods used for normalization of the data has not yet been systematically investigated. Normalization of microarray data converts raw hybridization signals to expression estimates that are expected to be proportional to the amounts of transcripts in the profiled specimens. Different approaches to normalization have been shown to greatly influence the results of some downstream analyses, including biological interpretation. In this study we evaluate the influence of microarray normalization methods on the transcriptomic BMDs. We demonstrate using in vivo data that the use of alternative pipelines for normalization of Affymetrix microarray data can have a considerable impact on the number of detected differentially expressed genes and pathways (processes) determined to be treatment responsive, which may lead to alternative interpretations of the data. In addition, we found that normalization can have a considerable effect (as much as ∼30-fold in this study) on estimation of the minimum biological potency (transcriptomic point of departure). We argue for consideration of alternative normalization methods and their data-informed selection to most effectively interpret microarray data for use in human health risk assessment.

Fate and disposition of functionalized nanomaterial in vivo: implication in human health risk assessment

2021 ◽  
pp. 165-196
Author(s):  
Manisha Bhateria ◽  
C. Yahavi ◽  
Anushka Pandey ◽  
Shiv Singh ◽  
Sheelendra Pratap Singh
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Human Health Risk Assessment

Human health risk assessment: application of the NORISC-HRA and ROME models at two test sites

2006 ◽  
Vol 14 (2) ◽  
pp. 559-570 ◽  
Author(s):  
F. Quercia ◽  
A. Vecchio ◽  
M. Falconi ◽  
L. Togni ◽  
E. Wcislo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Human Health Risk Assessment
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