Literature DB >> 25409553

Biomarkers to predict asthma in wheezing preschool children.

M A G E Bannier1, K D G van de Kant1, Q Jöbsis1, E Dompeling1.   

Abstract

Wheezing in preschool children is a very common symptom. An adequate prediction of asthma in these children is difficult and cannot be reliably assessed with conventional clinical tools. The study of potential predictive biomarkers in various media, ranging from invasive sampling (e.g. bronchoscopy) to non-invasive sampling (lung function testing and exhaled breath analysis), was comprehensively reviewed. The evolution in biomarker discovery has resulted in an 'omics' approach, in which hundreds of biomarkers in the field of genomics, proteomics, metabolomics, and 'breath-omics' can be simultaneously studied. First, results on gene expression and exhaled breath profiles in predicting an early asthma diagnosis are promising. However, many hurdles need to be overcome before clinical implementation is possible. To reliably predict asthma in a wheezing child, probably a holistic approach is needed, combining clinical information with blood sampling, lung function tests, and potentially exhaled breath analysis. The further development of predictive, non-invasive biomarkers may eventually improve an early asthma diagnosis in wheezing preschool children and assist clinicians in early treatment decision-making.
© 2014 John Wiley & Sons Ltd.

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Year:  2015        PMID: 25409553     DOI: 10.1111/cea.12460

Source DB:  PubMed          Journal:  Clin Exp Allergy        ISSN: 0954-7894            Impact factor:   5.018


  5 in total

1.  Metabolomics of bronchoalveolar lavage in children with persistent wheezing.

Authors:  Lingfang Liang; Minfei Hu; Yuanling Chen; Lingke Liu; Lei Wu; Chengcheng Hang; Xiaofei Luo; Xuefeng Xu
Journal:  Respir Res       Date:  2022-06-19

2.  Effects of specific allergen immunotherapy on biological markers and clinical parameters in asthmatic children: a controlled-real life study.

Authors:  I Djuric-Filipovic; Marco Caminati; D Filipovic; C Salvottini; Z Zivkovic
Journal:  Clin Mol Allergy       Date:  2017-04-03

3.  Finding a molecular genetic marker for the incidence of recurrent episodes of acute obstructive bronchitis in children.

Authors:  Nataliia Lukianenko; Olena Kens; Zhansulu Nurgaliyeva; Dinara Toguzbayeva; Musa Sakhipov
Journal:  J Med Life       Date:  2021 Sep-Oct

Review 4.  A systematic review of predictive models for asthma development in children.

Authors:  Gang Luo; Flory L Nkoy; Bryan L Stone; Darell Schmick; Michael D Johnson
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-28       Impact factor: 2.796

Review 5.  The proteomics of lung injury in childhood: challenges and opportunities.

Authors:  Prue M Pereira-Fantini; David G Tingay
Journal:  Clin Proteomics       Date:  2016-02-29       Impact factor: 3.988

  5 in total

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