| Literature DB >> 31687927 |
Anirban Sinha1,2,3, René Lutter1,2, Binbin Xu4, Tamara Dekker2, Barbara Dierdorp2, Peter J Sterk1, Urs Frey3, Edgar Delgado Eckert3.
Abstract
Asthma is a dynamic disease, in which lung mechanical and inflammatory processes interact in a complex manner, often resulting in exaggerated physiological, in particular, inflammatory responses to exogenous triggers. We hypothesize that this may be explained by respiratory disease-related systems instability and loss of adaptability to changing environmental conditions, manifested in highly fluctuating biomarkers and symptoms. Using time series of inflammatory (eosinophils, neutrophils, FeNO), clinical and lung function biomarkers (PEF, FVC,FEV1), we estimated this loss of adaptive capacity (AC) during an experimental rhinovirus infection in 24 healthy and asthmatic human volunteers. Loss of AC was estimated by comparing similarities between pre- and post-challenge time series. Unlike healthy participants, the asthmatic's post-viral-challenge state resembled more other rhinovirus-infected asthmatics than their own pre-viral-challenge state (hypergeometric-test: p=0.029). This reveals loss of AC and supports the concept that in asthma, biological processes underlying inflammatory and physiological responses are unstable, contributing to loss of control.Entities:
Keywords: adaptive capacity; asthma; biomarker fluctuation; homeokinesis; human; human biology; medicine; rhinovirus
Mesh:
Year: 2019 PMID: 31687927 PMCID: PMC6877087 DOI: 10.7554/eLife.47969
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140