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

Katarzyna Niespodziana, Katarina Stenberg-Hammar, Spyridon Megremis, Clarissa R. Cabauatan, Kamila Napora-Wijata, Phyllis C. Vacal, Daniela Gallerano, Christian Lupinek, Daniel Ebner, Thomas Schlederer, Christian Harwanegg, Cilla Söderhäll, Marianne Hage, Gunilla Hedlin, Nikolaos G. Papadopoulos () and Rudolf Valenta ()
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Katarzyna Niespodziana: Medical University of Vienna
Katarina Stenberg-Hammar: Karolinska University Hospital
Spyridon Megremis: University of Manchester
Clarissa R. Cabauatan: Medical University of Vienna
Kamila Napora-Wijata: Medical University of Vienna
Phyllis C. Vacal: Medical University of Vienna
Daniela Gallerano: Medical University of Vienna
Christian Lupinek: Medical University of Vienna
Daniel Ebner: Phadia Austria GmbH, Part of Thermo Fisher Scientific ImmunoDiagnostics
Thomas Schlederer: Phadia Austria GmbH, Part of Thermo Fisher Scientific ImmunoDiagnostics
Christian Harwanegg: Phadia Austria GmbH, Part of Thermo Fisher Scientific ImmunoDiagnostics
Cilla Söderhäll: Karolinska Institutet
Marianne Hage: Karolinska Institutet and University Hospital
Gunilla Hedlin: Karolinska University Hospital
Nikolaos G. Papadopoulos: University of Manchester
Rudolf Valenta: Medical University of Vienna

Nature Communications, 2018, vol. 9, issue 1, 1-11

Abstract: 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.

Date: 2018
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DOI: 10.1038/s41467-018-04591-0

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