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Subtypes of eosinophilic asthma with discrete gene pathway phenotypes

Perotin-Collard, Jeanne-Marie (author)
Schofield, James Pr (author)
Nicholas, Ben (author)
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Strazzeri, Fabio (author)
Brandsma, Joost (author)
Bansal, Aruna T. (author)
Yang, Xian (author)
Guo, Yi-Ke (author)
Rowe, Anthony (author)
Corfield, Julie (author)
Wilson, Susan J. (author)
Ward, Jonathan (author)
Lutter, Rene (author)
Shaw, Dominick E. (author)
Bakke, Per S. (author)
Caruso, Massimo (author)
Dahlen, Sven -Erik (author)
Fowler, Stephen J. (author)
Horvath, Ildiko (author)
Howarth, Peter (author)
Krug, Norbert (author)
Montuschi, Paolo (author)
Sanak, Marek (author)
Sandström, Thomas, 1957- (author)
Umeå universitet,Lungmedicin
Sun, Kai (author)
Pandis, Ioannis (author)
Riley, John (author)
Auffray, Charles (author)
De Meulder, Bertrand (author)
Lefaudeux, Diane (author)
Sousa, Ana R. (author)
Sterk, Peter J. (author)
Adcock, Ian M. (author)
Chung, Kian Fan (author)
Skipp, Paul J. (author)
Djukanovic, Ratko (author)
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 (creator_code:org_t)
European Respiratory Society Journals, 2019
2019
English.
In: European Respiratory Journal. - : European Respiratory Society Journals. - 0903-1936 .- 1399-3003. ; 54
  • Journal article (other academic/artistic)
Abstract Subject headings
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  • Background: Blood eosinophil counts ≥0.3x109/L are used to define Type-2, eosinophilic asthma. However, differential responses to T2 biologics of patients with eosinophilic asthma suggests that this may be a heterogeneous phenotype with subsets driven by different molecular mechanisms.Methods: Blood transcriptomic data, acquired from 99 severe asthmatics from the U-BIOPRED study (62% female, mean age 54 yr, 41% on oral steroids), were clustered by topological data analysis and cluster boundaries defined by the MORSE method. Gene pathway signatures were identified by Ingenuity Pathway Analysis.Results: Analysis revealed 3 clusters with different modulated gene pathways, i.e. molecular phenotypes. Subtype 1 had high IFN-γ, low IL5, low IL13 and low IL17 gene expression, with reduced glucocorticoid-induced gene expression. Subtype 2 had low IFNγ, high IL5, high IL13 and low IL17 gene expression. Subtype 3 had low IFNγ, high IL5, high IL13 and high IL17 gene expression. Pathway analysis suggested a strong steroid response in Subtypes 2 and 3. Clinically, the three clusters were not different in respect of age, gender, prevalence of atopy, blood or sputum eosinophil counts. Subtype 3 was characterized by high neutrophil counts in blood and bronchial epithelium, frequent sinus disease and asthma exacerbations, OCS treatment, low allergic sensitisation and low exhaled NO. Subtype 1 was characterized by high exhaled NO and more frequent IgE therapy.Conclusion: This study suggests that eosinophilic severe asthma (≥0.3x109/L) can be stratified further into 3 subtypes with distinct gene expression profiles that could be developed as molecular diagnostic biomarkers to guide treatment and thereby improve patient outcomes.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Lungmedicin och allergi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Respiratory Medicine and Allergy (hsv//eng)

Keyword

Asthma
Adults
Genomics

Publication and Content Type

vet (subject category)
art (subject category)

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