A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children
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A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children. / Gomez-Llorente, Ma Amelia; Martínez-Cañavate, Ana; Chueca, Natalia; Rico, Ma de la Cruz; Romero, Raquel; Anguita-Ruiz, Augusto; Aguilera, Concepcion Ma; Gil-Campos, Mercedes; Mesa, Maria D.; Khakimov, Bekzod; Morillo, Jose Antonio; Gil, Ángel; Camacho, José; Gomez-Llorente, Carolina.
In: Biomedicines, Vol. 8, No. 9, 359, 2020.Research output: Contribution to journal › Journal article › Research › peer-review
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T1 - A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children
AU - Gomez-Llorente, Ma Amelia
AU - Martínez-Cañavate, Ana
AU - Chueca, Natalia
AU - Rico, Ma de la Cruz
AU - Romero, Raquel
AU - Anguita-Ruiz, Augusto
AU - Aguilera, Concepcion Ma
AU - Gil-Campos, Mercedes
AU - Mesa, Maria D.
AU - Khakimov, Bekzod
AU - Morillo, Jose Antonio
AU - Gil, Ángel
AU - Camacho, José
AU - Gomez-Llorente, Carolina
PY - 2020
Y1 - 2020
N2 - 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 theClostridialesorder. 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.
AB - 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 theClostridialesorder. 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.
KW - asthma
KW - gastrointestinal microbiome
KW - metabolomics
KW - multi-omics approach
KW - EXHALED NITRIC-OXIDE
KW - METABOLIC SYNDROME
KW - ADOLESCENTS
KW - DEFINITION
KW - MECHANISMS
KW - PHENOTYPES
KW - MODERATE
U2 - 10.3390/biomedicines8090359
DO - 10.3390/biomedicines8090359
M3 - Journal article
C2 - 32961859
VL - 8
JO - Biomedicines
JF - Biomedicines
SN - 2227-9059
IS - 9
M1 - 359
ER -
ID: 250963710