Circulating proteins associated with allergy development in infants—an exploratory analysis

Clinical Proteomics

Jochen M. Schwenk¹  Mun-Gwan Hong¹  Agnes E. Wold²  Ingegerd Adlerberth²  Bill Hesselmar³  Anna Rudin⁴  Anna-Carin Lundell⁴  Marit Stockfelt⁴ 

[1] Affinity Proteomics, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden;Institute of Biomedicine, Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden;Institute of Clinical Sciences, Department of Pediatrics, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;Institute of Medicine, Department of Rheumatology and Inflammation Research, Sahlgrenska Academy, University of Gothenburg, Box 480, 405 30, Göteborg, Sweden;

关键词: Allergy;    Children;    Plasma proteomics;    Longitudinal profiling;    Risk factors;    Prediction;    Asthma;    Atopic dermatitis;    Allergic rhinitis;    Food hypersensitivity;   

DOI  :  10.1186/s12014-021-09318-w

来源: Springer

【 摘 要 】

BackgroundProtein profiles that can predict allergy development in children are lacking and the ideal sampling age is unknown. By applying an exploratory proteomics approach in the prospective FARMFLORA birth cohort, we sought to identify previously unknown circulating proteins in early life that associate to protection or risk for development of allergy up to 8 years of age.MethodsWe analyzed plasma prepared from umbilical cord blood (n = 38) and blood collected at 1 month (n = 42), 4 months (n = 39), 18 months (n = 42), 36 months (n = 42) and 8 years (n = 44) of age. We profiled 230 proteins with a multiplexed assay and evaluated the global structure of the data with principal component analysis (PCA). Protein profiles informative to allergic disease at 18 months, 36 months and/or 8 years were evaluated using Lasso logistic regression and random forest.ResultsTwo clusters emerged in the PCA analysis that separated samples obtained at birth and at 1 month of age from samples obtained later. Differences between the clusters were mostly driven by abundant plasma proteins. For the prediction of allergy, both Lasso logistic regression and random forest were most informative with samples collected at 1 month of age. A Lasso model with 27 proteins together with farm environment differentiated children who remained healthy from those developing allergy. This protein panel was primarily composed of antigen-presenting MHC class I molecules, interleukins and chemokines.ConclusionSampled at one month of age, circulating proteins that reflect processes of the immune system may predict the development of allergic disease later in childhood.

【 授权许可】

CC BY