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Nat Commun. 2018 Jun 18;9(1):2382. doi: 10.1038/s41467-018-04591-0.

PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze.

Author information

1
Division of Immunopathology, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, A-1090, Vienna, Austria.
2
Astrid Lindgren Children's Hospital, Karolinska University Hospital, SE-171 76, Stockholm, Sweden.
3
Department of Women's and Children's Health, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
4
Division of Infection, Immunity & Respiratory Medicine, University of Manchester, Manchester, M13 9NT, UK.
5
Phadia Austria GmbH, Part of Thermo Fisher Scientific ImmunoDiagnostics, A-1220, Vienna, Austria.
6
Immunology and Allergy Unit, Department of Medicine Solna, Karolinska Institutet and University Hospital, SE-171 77, Stockholm, Sweden.
7
Division of Infection, Immunity & Respiratory Medicine, University of Manchester, Manchester, M13 9NT, UK. ngpallergy@gmail.com.
8
Allergy Department, 2nd Pediatric Clinic, University of Athens, 106 79, Athens, Greece. ngpallergy@gmail.com.
9
Division of Immunopathology, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, A-1090, Vienna, Austria. rudolf.valenta@meduniwien.ac.at.

Abstract

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.

PMID:
29915220
PMCID:
PMC6006174
DOI:
10.1038/s41467-018-04591-0
[Indexed for MEDLINE]
Free PMC Article

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