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Consistent Multi-Omic Relationships Uncover Molecular Basis of Pediatric Asthma IgE Regulation.
Eicher, Tara; Kelly, Rachel S; Braisted, John; Siddiqui, Jalal K; Celedón, Juan; Clish, Clary; Gerszten, Robert; Weiss, Scott T; McGeachie, Michael; Machiraju, Raghu; Lasky-Su, Jessica; Mathé, Ewy A.
Affiliation
  • Eicher T; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD USA.
  • Kelly RS; Department of Computer Science and Engineering, College of Engineering, The Ohio State University, Columbus, OH USA.
  • Braisted J; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA USA.
  • Siddiqui JK; Harvard Medical School, Boston, MA USA.
  • Celedón J; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD USA.
  • Clish C; Comprehensive Cancer Center, The Ohio State University, Columbus, OH USA.
  • Gerszten R; Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA USA.
  • Weiss ST; Broad Institute, Cambridge, MA USA.
  • McGeachie M; Harvard Medical School, Boston, MA USA.
  • Machiraju R; Broad Institute, Cambridge, MA USA.
  • Lasky-Su J; Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA USA.
  • Mathé EA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA USA.
medRxiv ; 2024 Jun 06.
Article in En | MEDLINE | ID: mdl-38883716
ABSTRACT
Serum total immunoglobulin E levels (total IgE) capture the state of the immune system in relation to allergic sensitization. High levels are associated with airway obstruction and poor clinical outcomes in pediatric asthma. Inconsistent patient response to anti-IgE therapies motivates discovery of molecular mechanisms underlying serum IgE level differences in children with asthma. To uncover these mechanisms using complementary metabolomic and transcriptomic data, abundance levels of 529 named metabolites and expression levels of 22,772 genes were measured among children with asthma in the Childhood Asthma Management Program (CAMP, N=564) and the Genetic Epidemiology of Asthma in Costa Rica Study (GACRS, N=309) via the TOPMed initiative. Gene-metabolite associations dependent on IgE were identified within each cohort using multivariate linear models and were interpreted in a biochemical context using network topology, pathway and chemical enrichment, and representation within reactions. A total of 1,617 total IgE-dependent gene-metabolite associations from GACRS and 29,885 from CAMP met significance cutoffs. Of these, glycine and guanidinoacetic acid (GAA) were associated with the most genes in both cohorts, and the associations represented reactions central to glycine, serine, and threonine metabolism and arginine and proline metabolism. Pathway and chemical enrichment analysis further highlighted additional related pathways of interest. The results of this study suggest that GAA may modulate total IgE levels in two independent pediatric asthma cohorts with different characteristics, supporting the use of L-Arginine as a potential therapeutic for asthma exacerbation. Other potentially new targetable pathways are also uncovered.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MedRxiv Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MedRxiv Year: 2024 Document type: Article Country of publication: