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An alternative biomarker-based approach for the prediction of proteins known to sensitize the respiratory tract

Zeller, Kathrin S. LU ; Johansson, Henrik LU ; Lund, Trine Østergaard; Kristensen, Nanna N.; Roggen, Erwin L. and Lindstedt, Malin LU (2018) In Toxicology in Vitro 46. p.155-162
Abstract

Many natural and industrial proteins are known to have properties that can result in type I hypersensitivity, however, to date, no validated test system exists that can predict the sensitizing potential of these allergens. Thus, the objective of this study was to develop a protocol based on the myeloid cell-based Genomic Allergen Rapid Detection (GARD) assay that can be used to assess and predict the capacity of protein allergens known to induce sensitization in the respiratory tract. Cellular responses induced by eight selected proteins were assessed using transcriptional profiling, flow cytometry and multiplex cytokine analysis. 391 potential biomarkers were identified as a predictive signature and a series of cross-validations... (More)

Many natural and industrial proteins are known to have properties that can result in type I hypersensitivity, however, to date, no validated test system exists that can predict the sensitizing potential of these allergens. Thus, the objective of this study was to develop a protocol based on the myeloid cell-based Genomic Allergen Rapid Detection (GARD) assay that can be used to assess and predict the capacity of protein allergens known to induce sensitization in the respiratory tract. Cellular responses induced by eight selected proteins were assessed using transcriptional profiling, flow cytometry and multiplex cytokine analysis. 391 potential biomarkers were identified as a predictive signature and a series of cross-validations supported the validity of the model. These results together with biological pathway analysis of the transcriptomic data indicate that the investigated cell system is able to capture relevant events linked to type I hypersensitization.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biomarker, Cell-based assay, Dendritic cells, Protein allergens, Respiratory sensitization
in
Toxicology in Vitro
volume
46
pages
8 pages
publisher
Elsevier
external identifiers
  • scopus:85030994885
ISSN
0887-2333
DOI
10.1016/j.tiv.2017.09.029
language
English
LU publication?
yes
id
20728cf3-fe8b-4a16-b774-3b886cdb2eb6
date added to LUP
2017-10-25 13:15:32
date last changed
2018-01-07 12:23:33
@article{20728cf3-fe8b-4a16-b774-3b886cdb2eb6,
  abstract     = {<p>Many natural and industrial proteins are known to have properties that can result in type I hypersensitivity, however, to date, no validated test system exists that can predict the sensitizing potential of these allergens. Thus, the objective of this study was to develop a protocol based on the myeloid cell-based Genomic Allergen Rapid Detection (GARD) assay that can be used to assess and predict the capacity of protein allergens known to induce sensitization in the respiratory tract. Cellular responses induced by eight selected proteins were assessed using transcriptional profiling, flow cytometry and multiplex cytokine analysis. 391 potential biomarkers were identified as a predictive signature and a series of cross-validations supported the validity of the model. These results together with biological pathway analysis of the transcriptomic data indicate that the investigated cell system is able to capture relevant events linked to type I hypersensitization.</p>},
  author       = {Zeller, Kathrin S. and Johansson, Henrik and Lund, Trine Østergaard and Kristensen, Nanna N. and Roggen, Erwin L. and Lindstedt, Malin},
  issn         = {0887-2333},
  keyword      = {Biomarker,Cell-based assay,Dendritic cells,Protein allergens,Respiratory sensitization},
  language     = {eng},
  month        = {02},
  pages        = {155--162},
  publisher    = {Elsevier},
  series       = {Toxicology in Vitro},
  title        = {An alternative biomarker-based approach for the prediction of proteins known to sensitize the respiratory tract},
  url          = {http://dx.doi.org/10.1016/j.tiv.2017.09.029},
  volume       = {46},
  year         = {2018},
}