@article{3026034,
    title = "PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze",
    author = "Niespodziana, K. and Stenberg-Hammar, K. and Megremis, S. and Cabauatan, C.R. and Napora-Wijata, K. and Vacal, P.C. and Gallerano, D. and Lupinek, C. and Ebner, D. and Schlederer, T. and Harwanegg, C. and Söderhäll, C. and Van Hage, M. and Hedlin, G. and Papadopoulos, N.G. and Valenta, R.",
    journal = "Nature Communications",
    year = "2018",
    volume = "9",
    number = "1",
    publisher = "Nature Publishing Group",
    issn = "2041-1723",
    doi = "10.1038/s41467-018-04591-0",
    keywords = "peptide;  unclassified drug;  viral protein;  virus peptide;  viral protein 1, rhinovirus, asthma;  chronic obstructive pulmonary disease;  disease treatment;  induced response;  peptide;  protein;  resolution;  symptom;  viral disease, adolescent;  adult;  Article;  blood sampling;  child;  female;  human;  Human rhinovirus A;  Human rhinovirus C;  major clinical study;  male;  microarray analysis;  nonhuman;  Rhinovirus;  Rhinovirus infection;  virus strain;  wheezing;  abnormal respiratory sound;  asthma;  classification;  clinical trial;  devices;  immunology;  infant;  isolation and purification;  picornavirus infection;  preschool child;  procedures;  protein microarray;  serology;  virology, Rhinovirus, Asthma;  Child, Preschool;  Female;  Humans;  Infant;  Male;  Picornaviridae Infections;  Protein Array Analysis;  Respiratory Sounds;  Rhinovirus;  Serologic Tests;  Viral Proteins",
    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. © 2018 The Author(s)."
}