Literature DB >> 30578390

"T2-high" in severe asthma related to blood eosinophil, exhaled nitric oxide and serum periostin.

Stelios Pavlidis1,2, Kentaro Takahashi1,3, Francois Ng Kee Kwong1, Jiaxing Xie1, Uruj Hoda1, Kai Sun2, Vahid Elyasigomari2, Paul Agapow2, Matthew Loza4, Fred Baribaud4, Pascal Chanez5, Steve J Fowler6, Dominic E Shaw7, Louise J Fleming1, Peter H Howarth8, Ana R Sousa9, Julie Corfield10,11, Charles Auffray12, Bertrand De Meulder12, Richard Knowles13, Peter J Sterk14, Yike Guo2, Ian M Adcock1,2, Ratko Djukanovic8, Kian Fan Chung1,2.   

Abstract

Type-2 (T2) immune responses in airway epithelial cells (AECs) classifies mild-moderate asthma into a T2-high phenotype. We examined whether currently available clinical biomarkers can predict AEC-defined T2-high phenotype within the U-BIOPRED cohort.The transcriptomic profile of AECs obtained from brushings of 103 patients with asthma and 44 healthy controls was obtained and gene set variation analysis used to determine the relative expression score of T2 asthma using a signature from interleukin (IL)-13-exposed AECs.37% of asthmatics (45% nonsmoking severe asthma, n=49; 33% of smoking or ex-smoking severe asthma, n=18; and 28% mild-moderate asthma, n=36) were T2-high using AEC gene expression. They were more symptomatic with higher exhaled nitric oxide fraction (F eNO) and blood and sputum eosinophils, but not serum IgE or periostin. Sputum eosinophilia correlated best with the T2-high signature. F eNO (≥30 ppb) and blood eosinophils (≥300 cells·µL-1) gave a moderate prediction of T2-high asthma. Sputum IL-4, IL-5 and IL-13 protein levels did not correlate with gene expression.T2-high severe asthma can be predicted to some extent from raised levels of F eNO, blood and sputum eosinophil counts, but serum IgE or serum periostin were poor predictors. Better bedside biomarkers are needed to detect T2-high.
Copyright ©ERS 2019.

Entities:  

Year:  2019        PMID: 30578390     DOI: 10.1183/13993003.00938-2018

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  28 in total

1.  Exploring the Utility of Noninvasive Type 2 Inflammatory Markers for Prediction of Severe Asthma Exacerbations in Children and Adolescents.

Authors:  Samar P Shah; Jocelyn Grunwell; Jennifer Shih; Susan Stephenson; Anne M Fitzpatrick
Journal:  J Allergy Clin Immunol Pract       Date:  2019-05-14

2.  Single-cell profiling identifies mechanisms of inflammatory heterogeneity in chronic rhinosinusitis.

Authors:  Weiqing Wang; Yi Xu; Lun Wang; Zhenzhen Zhu; Surita Aodeng; Hui Chen; Menghua Cai; Zhihao Huang; Jinbo Han; Lei Wang; Yuxi Lin; Yu Hu; Liangrui Zhou; Xiaowei Wang; Yang Zha; Weihong Jiang; Zhiqiang Gao; Wei He; Wei Lv; Jianmin Zhang
Journal:  Nat Immunol       Date:  2022-09-22       Impact factor: 31.250

3.  Role of FEF25-75 in managing children with newly-diagnosed asthma in clinical practice.

Authors:  Giorgio Ciprandi; Maria Angela Tosca; Irene Schiavetti; Roberta Olcese; Michele Miraglia Del Giudice
Journal:  Acta Biomed       Date:  2022-08-31

4.  Can serum periostin predict bronchopulmonary dysplasia in premature infants?

Authors:  Hayato Go; Junya Ono; Hitoshi Ohto; Kenneth E Nollet; Kenichi Sato; Yohei Kume; Hajime Maeda; Mina Chishiki; Kentaro Haneda; Hirotaka Ichikawa; Nozomi Kashiwabara; Yuji Kanai; Kei Ogasawara; Maki Sato; Koichi Hashimoto; Satoshi Nunomura; Kenji Izuhara; Mitsuaki Hosoya
Journal:  Pediatr Res       Date:  2021-12-27       Impact factor: 3.953

5.  Treatable Mechanisms in Asthma.

Authors:  Mario Cazzola; Josuel Ora; Francesco Cavalli; Paola Rogliani; Maria Gabriella Matera
Journal:  Mol Diagn Ther       Date:  2021-02-11       Impact factor: 4.074

6.  Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study.

Authors:  Stacey N Reinke; Shama Naz; Romanas Chaleckis; Hector Gallart-Ayala; Johan Kolmert; Nazanin Z Kermani; Angelica Tiotiu; David I Broadhurst; Anders Lundqvist; Henric Olsson; Marika Ström; Åsa M Wheelock; Cristina Gómez; Magnus Ericsson; Ana R Sousa; John H Riley; Stewart Bates; James Scholfield; Matthew Loza; Frédéric Baribaud; Per S Bakke; Massimo Caruso; Pascal Chanez; Stephen J Fowler; Thomas Geiser; Peter Howarth; Ildikó Horváth; Norbert Krug; Paolo Montuschi; Annelie Behndig; Florian Singer; Jacek Musial; Dominick E Shaw; Barbro Dahlén; Sile Hu; Jessica Lasky-Su; Peter J Sterk; Kian Fan Chung; Ratko Djukanovic; Sven-Erik Dahlén; Ian M Adcock; Craig E Wheelock
Journal:  Eur Respir J       Date:  2022-06-30       Impact factor: 33.795

Review 7.  Addressing the risk domain in the long-term management of pediatric asthma.

Authors:  Eckard Hamelmann; Erika von Mutius; Andrew Bush; Stanley J Szefler
Journal:  Pediatr Allergy Immunol       Date:  2019-12-11       Impact factor: 6.377

8.  Approaches to the assessment of severe asthma: barriers and strategies.

Authors:  Eleanor C Majellano; Vanessa L Clark; Natasha A Winter; Peter G Gibson; Vanessa M McDonald
Journal:  J Asthma Allergy       Date:  2019-08-23

9.  Using biomarkers to adjust corticosteroid dose in patients with severe asthma.

Authors:  Thomas L Jones
Journal:  Breathe (Sheff)       Date:  2021-03

10.  Role of miR-185-5p as modulator of periostin synthesis and smooth muscle contraction in asthma.

Authors:  José M Rodrigo-Muñoz; José A Cañas; Beatriz Sastre; Marta Gil-Martínez; Raquel García Latorre; Joaquín Sastre; Victoria Del Pozo
Journal:  J Cell Physiol       Date:  2021-10-26       Impact factor: 6.513

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