한빛사논문
- 조회504
Yoojin Chun MS 1, Alexander Grishin PhD 2, Rebecca Rose PhD 3, William Zhao BS 1, Zoe Arditi BA 1, Lingdi Zhang PhD 1, Robert A. Wood MD 4, A. Wesley Burks MD 5, Stacie M. Jones MD 6, Donald Y.M. Leung MD, PhD 7, Drew R. Jones PhD 3, Hugh A. Sampson MD 2, Scott H. Sicherer MD 2, Supinda Bunyavanich MD, MPH, MPhil 1,2
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY;
2Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY;
3Metabolomics Core, New York University, New York, NY;
4Department of Pediatrics, Johns Hopkins University, Baltimore, MD;
5Department of Pediatrics, University of North Carolina, Chapel Hill;
6Department of Pediatrics, University of Arkansas for Medical Scie
Correspondence: Supinda Bunyavanich, MD, MPH
Abstract
Background: Rising rates of peanut allergy motivate investigations of its development to inform prevention and therapy. Microbiota and the metabolites they produce shape food allergy risk.
Objective: To gain insight into gut microbiome and metabolome dynamics in the development of peanut allergy.
Methods: We performed a longitudinal, integrative study of the gut microbiome and metabolome of infants with allergy risk factors but no peanut allergy from a multi-center cohort who were followed through mid-childhood. We performed 16S rRNA sequencing, short chain fatty acid measurements, and global metabolome profiling of fecal samples at infancy and at mid-childhood.
Results: In this longitudinal, multi-center sample (n=122), 28.7% of infants developed peanut allergy by mid-childhood (mean age 9 years). Lower infant gut microbiome diversity was associated with peanut allergy development (P=0.014). Temporal changes in the relative abundance of specific microbiota and gut metabolite levels significantly differed in children who developed peanut allergy. Peanut allergy-bound children had different abundance trajectories of Clostridium sensu stricto 1 sp. (false discovery rate (FDR)=0.015) and Bifidobacterium sp. (FDR=0.033), with butyrate (FDR=0.045) and isovalerate (FDR=0.036) decreasing over time. Metabolites associated with peanut allergy development clustered within the histidine metabolism pathway. Positive correlations between microbiota, butyrate, and isovalerate and negative correlations with histamine marked the peanut allergy-free network.
Conclusion: The temporal dynamics of the gut microbiome and metabolome in early childhood are distinct for children who develop peanut allergy. These findings inform our thinking on the mechanisms underlying and strategies for potentially preventing peanut allergy.
논문정보
- Research article
- 2023년 08월 (BRIC 등록일 2023-09-08)
- 국외 연구진
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