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PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze
Rhinovirus (RV) infections are major triggers of acute exacerbations of severe respiratory diseases such as pre-school wheeze, asthma and chronic obstructive pulmonary disease (COPD). The occurrence of numerous RV types is a major challenge for the identification of the culprit virus types and for t...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006174/ https://www.ncbi.nlm.nih.gov/pubmed/29915220 http://dx.doi.org/10.1038/s41467-018-04591-0 |
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author | Niespodziana, Katarzyna Stenberg-Hammar, Katarina Megremis, Spyridon Cabauatan, Clarissa R. Napora-Wijata, Kamila Vacal, Phyllis C. Gallerano, Daniela Lupinek, Christian Ebner, Daniel Schlederer, Thomas Harwanegg, Christian Söderhäll, Cilla van Hage, Marianne Hedlin, Gunilla Papadopoulos, Nikolaos G. Valenta, Rudolf |
author_facet | Niespodziana, Katarzyna Stenberg-Hammar, Katarina Megremis, Spyridon Cabauatan, Clarissa R. Napora-Wijata, Kamila Vacal, Phyllis C. Gallerano, Daniela Lupinek, Christian Ebner, Daniel Schlederer, Thomas Harwanegg, Christian Söderhäll, Cilla van Hage, Marianne Hedlin, Gunilla Papadopoulos, Nikolaos G. Valenta, Rudolf |
author_sort | Niespodziana, Katarzyna |
collection | PubMed |
description | Rhinovirus (RV) infections are major triggers of acute exacerbations of severe respiratory diseases such as pre-school wheeze, asthma and chronic obstructive pulmonary disease (COPD). The occurrence of numerous RV types is a major challenge for the identification of the culprit virus types and for the improvement of virus type-specific treatment strategies. Here, we develop a chip containing 130 different micro-arrayed RV proteins and peptides and demonstrate in a cohort of 120 pre-school children, most of whom had been hospitalized due to acute wheeze, that it is possible to determine the culprit RV species with a minute blood sample by serology. Importantly, we identify RV-A and RV-C species as giving rise to most severe respiratory symptoms. Thus, we have generated a chip for the serological identification of RV-induced respiratory illness which should be useful for the rational development of preventive and therapeutic strategies targeting the most important RV types. |
format | Online Article Text |
id | pubmed-6006174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60061742018-06-20 PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze Niespodziana, Katarzyna Stenberg-Hammar, Katarina Megremis, Spyridon Cabauatan, Clarissa R. Napora-Wijata, Kamila Vacal, Phyllis C. Gallerano, Daniela Lupinek, Christian Ebner, Daniel Schlederer, Thomas Harwanegg, Christian Söderhäll, Cilla van Hage, Marianne Hedlin, Gunilla Papadopoulos, Nikolaos G. Valenta, Rudolf Nat Commun Article Rhinovirus (RV) infections are major triggers of acute exacerbations of severe respiratory diseases such as pre-school wheeze, asthma and chronic obstructive pulmonary disease (COPD). The occurrence of numerous RV types is a major challenge for the identification of the culprit virus types and for the improvement of virus type-specific treatment strategies. Here, we develop a chip containing 130 different micro-arrayed RV proteins and peptides and demonstrate in a cohort of 120 pre-school children, most of whom had been hospitalized due to acute wheeze, that it is possible to determine the culprit RV species with a minute blood sample by serology. Importantly, we identify RV-A and RV-C species as giving rise to most severe respiratory symptoms. Thus, we have generated a chip for the serological identification of RV-induced respiratory illness which should be useful for the rational development of preventive and therapeutic strategies targeting the most important RV types. Nature Publishing Group UK 2018-06-18 /pmc/articles/PMC6006174/ /pubmed/29915220 http://dx.doi.org/10.1038/s41467-018-04591-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Niespodziana, Katarzyna Stenberg-Hammar, Katarina Megremis, Spyridon Cabauatan, Clarissa R. Napora-Wijata, Kamila Vacal, Phyllis C. Gallerano, Daniela Lupinek, Christian Ebner, Daniel Schlederer, Thomas Harwanegg, Christian Söderhäll, Cilla van Hage, Marianne Hedlin, Gunilla Papadopoulos, Nikolaos G. Valenta, Rudolf PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title | PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title_full | PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title_fullStr | PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title_full_unstemmed | PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title_short | PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
title_sort | predicta chip-based high resolution diagnosis of rhinovirus-induced wheeze |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006174/ https://www.ncbi.nlm.nih.gov/pubmed/29915220 http://dx.doi.org/10.1038/s41467-018-04591-0 |
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