Plasma lipid biomarkers in relation to BMI, lung function, and airway inflammation in pediatric asthma.

Abstract

Introduction: There is limited understanding of how plasma fatty acid levels affect pulmonary function in pediatric years. It has been speculated that polyunsaturated fatty acids influence asthma via anti or pro-inflammatory mechanisms. Metabolomics presents a new and promising resource for identifying molecular processes involved in asthma pathology.

Objectives: We investigated the relationship of plasma fatty acid metabolites as biomarkers of the 'mild-asthma' phenotype and lung function including airway inflammation in children.

Methods: This cross-sectional study involved 64 children (5-12 years, 33 male) with mild-asthma phenotype attending an outpatient pediatric clinic in Athens, Greece. Clinical examination included spirometry (FVC, FEV₁, FEV₁/FVC, PEF, FEF_25-75%) and Fractional exhaled Nitric Oxide (FeNO). Targeted metabolomic profiling was used to quantify plasma fatty acid composition. Associations between lipids and pulmonary function indices were investigated applying linear regression.

Results: Targeted GC-MS identified 25 unique plasma fatty acids in mild-asthmatic children. Linear regression revealed significant associations between linoleic, oleic, erucic, cis-11-eicosenoic, arachidic acids and FEV₁, FVC, FEV₁/FVC, PEF, FEF_25-75% and FeNO in the overweight/obese group, adjusting for age and sex; and in the normo-weight between stearic and arachidic acids versus FEV₁ and FEV₁/FVC respectively. No associations were observed for arachidonic, α-linolenic, EPA and DHA.

Conclusion: Metabolomics is a novel science that is useful to discover metabolic signatures specific to disease. Evaluation of fatty acid status could assist clinicians in decision-making about a dietary modification that can be used for personalized nutrition therapies to achieve better asthma control, optimum lung function, and therapeutic response in children.