| Title: | Volatile organic compounds associated with diagnosis and disease characteristics in asthma - A systematic review |
| Author(s): | Peel AM; Wilkinson M; Sinha A; Loke YK; Fowler SJ; Wilson AM; |
| Address: | "Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK. Electronic address: a.peel@uea.ac.uk. Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester; Manchester Academic Health Science Centre and NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, UK. Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK" |
| DOI: | 10.1016/j.rmed.2020.105984 |
| ISSN/ISBN: | 1532-3064 (Electronic) 0954-6111 (Linking) |
| Abstract: | "BACKGROUND: Metabolomics refers to study of the metabolome, the entire set of metabolites produced by a biological system. The application of metabolomics to exhaled breath samples - breathomics - is a rapidly growing field with potential application to asthma diagnosis and management. OBJECTIVES: We aimed to review the adult asthma breathomic literature and present a comprehensive list of volatile organic compounds identified by asthma breathomic models. METHODS: We undertook a systematic search for literature on exhaled volatile organic compounds in adult asthma. We assessed the quality of studies and performed a qualitative synthesis. RESULTS: We identified twenty studies; these were methodologically heterogenous with a variable risk of bias. Studies almost universally reported breathomics to be capable of differentiating - with moderate or greater accuracy - between samples from healthy controls and those with asthma; and to be capable of phenotyping disease. However, there was little concordance in the compounds upon which discriminatory models were based. CONCLUSION: Results to-date are promising but validation in independent prospective cohorts is needed. This may be challenging given the high levels of inter-individual variation. However, large-scale, multi-centre studies are underway and validation efforts have been aided by the publication of technical standards likely to increase inter-study comparability. Successful validation of breathomic models for diagnosis and phenotyping would constitute an important step towards personalised medicine in asthma" |
| Keywords: | Asthma/*diagnosis/metabolism Biomarkers/analysis Breath Tests/*methods Female Humans Male Severity of Illness Index Volatile Organic Compounds/*analysis; |
| Notes: | "MedlinePeel, Adam M Wilkinson, Maxim Sinha, Ashnish Loke, Yoon K Fowler, Stephen J Wilson, Andrew M eng Research Support, Non-U.S. Gov't Review Systematic Review England 2020/06/09 Respir Med. 2020 Aug; 169:105984. doi: 10.1016/j.rmed.2020.105984. Epub 2020 May 16" |
