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 van Hage; Gunilla Hedlin; Nikolaos G Papadopoulos; Rudolf Valenta

doi:10.1038/s41467-018-04591-0

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 van Hage, Gunilla Hedlin, Nikolaos G Papadopoulos, Rudolf Valenta

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	2382
Journal	Nature Communications
Volume	9
Issue number	1
Early online date	18 Jun 2018
DOIs	https://doi.org/10.1038/s41467-018-04591-0 https://doi.org/10.1038/s41467-018-04591-0
Publication status	Published - 18 Jun 2018

Keywords

Asthma/immunology
Child, Preschool
Female
Humans
Infant
Male
Picornaviridae Infections/diagnosis
Protein Array Analysis/instrumentation
Respiratory Sounds
Rhinovirus/classification
Serologic Tests/instrumentation
Viral Proteins/immunology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Cite this

Niespodziana, K., Stenberg-Hammar, K., Megremis, S., Cabauatan, C. R., Napora-Wijata, K., Vacal, P. C., Gallerano, D., Lupinek, C., Ebner, D., Schlederer, T., Harwanegg, C., Söderhäll, C., van Hage, M., Hedlin, G., Papadopoulos, N. G., & Valenta, R. (2018). PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze. Nature Communications, 9(1), 2382. https://doi.org/10.1038/s41467-018-04591-0, https://doi.org/10.1038/s41467-018-04591-0

@article{1be6e4fa340c4ab9a8dcd2b9d99c314d,

title = "PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze",

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.",

keywords = "Asthma/immunology, Child, Preschool, Female, Humans, Infant, Male, Picornaviridae Infections/diagnosis, Protein Array Analysis/instrumentation, Respiratory Sounds, Rhinovirus/classification, Serologic Tests/instrumentation, Viral Proteins/immunology",

author = "Katarzyna Niespodziana and Katarina Stenberg-Hammar and Spyridon Megremis and Cabauatan, {Clarissa R} and Kamila Napora-Wijata and Vacal, {Phyllis C} and Daniela Gallerano and Christian Lupinek and Daniel Ebner and Thomas Schlederer and Christian Harwanegg and Cilla S{\"o}derh{\"a}ll and {van Hage}, Marianne and Gunilla Hedlin and Papadopoulos, {Nikolaos G} and Rudolf Valenta",

year = "2018",

month = jun,

day = "18",

doi = "10.1038/s41467-018-04591-0",

language = "English",

volume = "9",

pages = "2382",

journal = "Nature Communications",

issn = "2041-1723",

publisher = "Nature Research",

number = "1",

}

Niespodziana, K, Stenberg-Hammar, K, Megremis, S, Cabauatan, CR, Napora-Wijata, K, Vacal, PC, Gallerano, D, Lupinek, C, Ebner, D, Schlederer, T, Harwanegg, C, Söderhäll, C, van Hage, M, Hedlin, G, Papadopoulos, NG & Valenta, R 2018, 'PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze', Nature Communications, vol. 9, no. 1, pp. 2382. https://doi.org/10.1038/s41467-018-04591-0, https://doi.org/10.1038/s41467-018-04591-0

TY - JOUR

T1 - PreDicta chip-based high resolution diagnosis of rhinovirus-induced wheeze

AU - Niespodziana, Katarzyna

AU - Stenberg-Hammar, Katarina

AU - Megremis, Spyridon

AU - Cabauatan, Clarissa R

AU - Napora-Wijata, Kamila

AU - Vacal, Phyllis C

AU - Gallerano, Daniela

AU - Lupinek, Christian

AU - Ebner, Daniel

AU - Schlederer, Thomas

AU - Harwanegg, Christian

AU - Söderhäll, Cilla

AU - van Hage, Marianne

AU - Hedlin, Gunilla

AU - Papadopoulos, Nikolaos G

AU - Valenta, Rudolf

PY - 2018/6/18

Y1 - 2018/6/18

N2 - 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.

AB - 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.

KW - Asthma/immunology

KW - Child, Preschool

KW - Female

KW - Humans

KW - Infant

KW - Male

KW - Picornaviridae Infections/diagnosis

KW - Protein Array Analysis/instrumentation

KW - Respiratory Sounds

KW - Rhinovirus/classification

KW - Serologic Tests/instrumentation

KW - Viral Proteins/immunology

U2 - 10.1038/s41467-018-04591-0

DO - 10.1038/s41467-018-04591-0

M3 - Article

C2 - 29915220

SN - 2041-1723

VL - 9

SP - 2382

JO - Nature Communications

JF - Nature Communications

IS - 1

ER -

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

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this