Atopic respiratory diseases and IgE sensitization are associated with leukocyte subset concentrations in 14,440 blood donors
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- 10.1016/j.cca.2021.06.015
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Background and aims: Allergic rhinitis (AR), allergic conjunctivitis (AC), and asthma are characterized by activation of the immune system. The aim of this study was to explore the long-term association between AR, AC, asthma, and specific immunoglobulin E (IgE) and blood platelet and leukocyte differential counts. Material and methods: In the Danish Blood Donor Study, 14,440 participants from Central Denmark Region had platelet and leukocyte differential counts available and completed a questionnaire regarding AR, AC, and asthma. Of these participants, 8485 were tested for IgE to inhalation allergens. Results: The prevalence of AR, AC, asthma, and IgE sensitization was 19%, 15%, 9%, and 29%, respectively. AR, AC, asthma, wheeze, and IgE sensitization was associated with increased blood eosinophil concentration even in IgE sensitized participants who did not report any allergy or asthma. The strongest associations were observed for participants with current disease. We found no differences in eosinophil concentration between months without symptoms and months with symptoms of AR and asthma. Conclusion: AR, AC, asthma, wheezing, and IgE sensitization to inhalation allergens are associated with increased eosinophil concentration. This may reflect a persistent inflammation even in periods without symptomatic disease.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Clinica Chimica Acta |
| Vol/bind | 520 |
| Sider (fra-til) | 139-146 |
| Antal sider | 8 |
| ISSN | 0009-8981 |
| DOI | |
| Status | Udgivet - 2021 |
Bibliografisk note
Funding Information:
The work was supported by The Danish Council for Independent Research - Medical Sciences [grant number: 09-069412], The Danish Administrative Regions ( http://www.regioner.dk ), The Danish Bio- and Genome Bank ( http://www.regioner.dk/rbgben ), Bloddonorernes Forskningsfond [grant number: FF4, 2016-02], The A.P. Møller Foundation for the Advancement of Medical Science [grant number: 17-L-0496 ], Aarhus University [number 12073 ], The Danish Medical Association Research Foundation [grant number: 2016-1840/111], and Kong Christian den Tiendes Fond [grant number: 93/2016]. BERTHA - the Danish Big Data Centre for Environment and Health was funded by the Novo Nordisk Foundation Challenge Programme [grant NNF17OC0027864 ]. None of the funders had any influence on study design, data collection and analysis, decision to publish, or preparation of this manuscript.
Funding Information:
We thank the Danish blood donors for their participation and the staff at the Danish blood centers for collection of blood samples and questionnaire data as well as Bjarne Kristensen and Pia Schytte Hansen from Thermo Fisher Scientific for performing the Phadiatop analysis. A part of the Phadiatop analyses was kindly donated by Thermo Fisher Scientific. This study was supported by BERTHA - the Danish Big Data Centre for Environment and Health.
Funding Information:
We thank the Danish blood donors for their participation and the staff at the Danish blood centers for collection of blood samples and questionnaire data as well as Bjarne Kristensen and Pia Schytte Hansen from Thermo Fisher Scientific for performing the Phadiatop analysis. A part of the Phadiatop analyses was kindly donated by Thermo Fisher Scientific. This study was supported by BERTHA - the Danish Big Data Centre for Environment and Health. The work was supported by The Danish Council for Independent Research - Medical Sciences [grant number: 09-069412], The Danish Administrative Regions (http://www.regioner.dk), The Danish Bio- and Genome Bank (http://www.regioner.dk/rbgben), Bloddonorernes Forskningsfond [grant number: FF4, 2016-02], The A.P. M?ller Foundation for the Advancement of Medical Science [grant number: 17-L-0496], Aarhus University [number 12073], The Danish Medical Association Research Foundation [grant number: 2016-1840/111], and Kong Christian den Tiendes Fond [grant number: 93/2016]. BERTHA - the Danish Big Data Centre for Environment and Health was funded by the Novo Nordisk Foundation Challenge Programme [grant NNF17OC0027864]. None of the funders had any influence on study design, data collection and analysis, decision to publish, or preparation of this manuscript.
Publisher Copyright:
© 2021
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