A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children
Metadatos
Afficher la notice complèteAuteur
Gómez Llorente, Mª Amelia; Martínez Cañavate, Ana; Chueca Porcuna, Natalia; Rico Prados, María Cruz; Romero, Raquel; Morillo, José Antonio; Camacho Páez, José; Gómez Llorente, CarolinaEditorial
Mdpi
Materia
Asthma Gastrointestinal microbiome Metabolomics Multi-omics approach
Date
2020-09-18Referencia bibliográfica
Gomez-Llorente, M., Martínez-Cañavate, A., Chueca, N., Rico, M., Romero, R., Anguita-Ruiz, A., ... & Morillo, J. A. (2020). A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children. Biomedicines, 8(9), 359. [doi:10.3390/biomedicines8090359]
Patrocinador
Fundación Progreso y Salud Project PI-0373-2014; Redes temáticas de investigación cooperativa RETIC Red SAMID RD12/0026/0015Résumé
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.