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

基于 PreDicta 芯片的鼻病毒诱发喘息高分辨率诊断

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作者: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 van Hage, Gunilla Hedlin, Nikolaos G Papadopoulos, R

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.

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