Metabolomic profile in preschool children with transient wheezing and early onset asthma

Main Article Content

Ana Caroline C. Dela Bianca Melo
Décio Medeiros Peixoto
Ricardo Oliveira Silva
Tatiane Priscila S. Rodrigues da Luz
Amanda Oliveira V. Bastos
Emanuel Sávio Cavalcanti Sarinho
Dirceu Solé
Gustavo Falbo Wandalsen

Keywords

asthma, recurrent wheezing, metabolomics, children

Abstract

Introduction: Early diagnosis of childhood asthma is a challenge; so we questioned whether metabolomic analysis could differentiate persistent recurrent wheezing from transient wheezing in preschoolers.


Methods: Case-control study with individuals aged 4–6 years and 11 months with three or more episodes of wheezing due to bronchospasm was carried out in an allergy outpatient clinic and metabolomics laboratory from July 2021 to February 2023. Two groups were formed: persistent wheezers with multiple trigger attacks after the fourth year of life; and transient wheezers without wheezing for at least 12 months after the third year of life. Those with other wheezing disorders were excluded.


Results: This study was carried out on 29 children with a mean age of 4.9 (±0.6) years—19 (65%) persistent wheezers and 10 (35%) transient wheezers. Sensitization to aeroallergens and the positive asthma predictive index were significantly higher among persistent wheezers. From the plasma hydrogen-1 NMR (1H NMR) spectra, five best subsets were selected to discriminate between the two groups with an accuracy rate of 93.1%. Among the metabolites, valine and citrate showed higher signals and lipids and lipoproteins were higher in persistent wheezers.

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References

1 Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: Executive summary of the GINA Dissemination Committee report. Allergy. 2004;59:469–78. 10.1111/j.1398-9995.2004.00526.x

2 Fatemi F, Sadroddiny E, Gheibi A, Farsani TM Kardar GA. Biomolecular markers in assessment and treatment of asthma. Respirology. 2014;19(4):514–23. 10.1111/resp.12284

3 Pontes TA, Barbosa AD, Silva RD, Melo-Junior MR, Silva RO. Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics. PLoS ONE. 2019;14(5):e0217348. 10.1371/journal.pone.0217348

4 Carraro S, Bozzetto S, Giordano G, et al. Wheezing preschool children with early-onset asthma reveal a specific metabolomic profile. Pediatr Allergy Immunol. 2018;29:375–82. 10.1111/pai.12879

5 Radzikowska U, Baerenfaller K, Cornejo-Garcia JA, et al. Omics technologies in allergy and asthma research: An EAACI position paper. Allergy. 2022; 77:2888–908. 10.1111/all.15412

6 Zhang Y, Lan F, Zhang L. Advances and highlights in allergic rhinitis. Allergy. 2021;76(11):3383–9. 10.1111/all.15044

7 Chiu CY, Cheng ML, Chiang MH, Wang CJ, Tsai MH, Lin G. Metabolomic analysis reveals distinct profiles in the plasma and urine associated with IgE reactions in childhood asthma. J Clin Med. 2020;9(3):887. 10.3390/jcm9030887

8 Chang-Chien J, Huang H-Y, Tsai H-J, et al. Metabolomic differences of exhaled breath condensate among children with and without asthma. Pediatr Allergy Immunol. 2021;32:264–72. 10.1111/pai.13368