Skip to Content
You are currently on the new version of our website. Access the old version .
BiomedicinesBiomedicines
  • Article
  • Open Access

18 September 2020

16 Pages

A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children

,
,
,
,
,
,
,
,
…
1
Pediatric Unit, Hospital Materno-Infantil, Ciudad Sanitaria Virgen de las Nieves, 18014 Granada, Spain
2
Pediatric Allergology Unit, Hospital Materno-Infantil, Ciudad Sanitaria Virgen de las Nieves, 18014 Granada, Spain
3
Department of Microbiology, Complejo Hospitalario de Granada, 18012 Granada, Spain
4
ibs.GRANADA, Instituto de Investigación Biosanitaria, 18012 Granada, Spain

Abstract

Background: Asthma is a multifactorial condition where patients with identical clinical diagnoses do not have the same clinical history or respond to treatment. This clinical heterogeneity is reflected in the definition of two main endotypes. We aimed to explore the metabolic and microbiota signatures that characterize the clinical allergic asthma phenotype in obese children. Methods: We used a multi-omics approach combining clinical data, plasma and fecal inflammatory biomarkers, metagenomics, and metabolomics data in a cohort of allergic asthmatic children. Results: We observed that the obese allergic asthmatic phenotype was markedly associated with higher levels of leptin and lower relative proportions of plasma acetate and a member from the Clostridiales order. Moreover, allergic children with a worse asthma outcome showed higher levels of large unstained cells, fecal D lactate and D/L lactate ratio, and with a higher relative proportion of plasma creatinine and an unclassified family member from the RF39 order belonging to the Mollicutes class. Otherwise, children with persistent asthma presented lower levels of plasma citrate and dimethylsulfone. Conclusion: Our integrative approach shows the molecular heterogeneity of the allergic asthma phenotype while highlighting the use of omics technologies to examine the clinical phenotype at a more holistic level.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.