Application of Metabolomics in Obesity-Related Childhood Asthma Subtyping: A Narrative Scoping Review

Author:

Makrinioti Heidi1,Zhu Zhaozhong1ORCID,Camargo Carlos A.1ORCID,Fainardi Valentina2,Hasegawa Kohei1,Bush Andrew345,Saglani Sejal345

Affiliation:

1. Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA

2. Clinica Pediatrica, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy

3. National Heart and Lung Institute, Imperial College, London SW7 2AZ, UK

4. Centre for Paediatrics and Child Health, Imperial College, London SW7 2AZ, UK

5. Royal Brompton Hospital, London SW3 6NP, UK

Abstract

Obesity-related asthma is a heterogeneous childhood asthma phenotype with rising prevalence. Observational studies identify early-life obesity or weight gain as risk factors for childhood asthma development. The reverse association is also described, children with asthma have a higher risk of being obese. Obese children with asthma have poor symptom control and an increased number of asthma attacks compared to non-obese children with asthma. Clinical trials have also identified that a proportion of obese children with asthma do not respond as well to usual treatment (e.g., inhaled corticosteroids). The heterogeneity of obesity-related asthma phenotypes may be attributable to different underlying pathogenetic mechanisms. Although few childhood obesity-related asthma endotypes have been described, our knowledge in this field is incomplete. An evolving analytical profiling technique, metabolomics, has the potential to link individuals’ genetic backgrounds and environmental exposures (e.g., diet) to disease endotypes. This will ultimately help define clinically relevant obesity-related childhood asthma subtypes that respond better to targeted treatment. However, there are challenges related to this approach. The current narrative scoping review summarizes the evidence for metabolomics contributing to asthma subtyping in obese children, highlights the challenges associated with the implementation of this approach, and identifies gaps in research.

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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