Palavras-chave
Infância
Metabonômica
Rinite alérgica
Como Citar
Copyright © | Todos os direitos reservados.
A revista detém os direitos autorais exclusivos de publicação deste artigo nos termos da lei 9610/98.
Reprodução parcial
É livre o uso de partes do texto, figuras e questionário do artigo, sendo obrigatória a citação dos autores e revista.
Reprodução total
É expressamente proibida, devendo ser autorizada pela revista.
Resumo
Objetivo: Identificar perfis metabólicos potencialmente associados à adesão ao tratamento e à gravidade da rinite alérgica em crianças e adolescentes. Métodos: Trata-se de um estudo prospectivo desenvolvido em um hospital universitário no Brasil, envolvendo 25 voluntários. Os espectros de RMN ¹H do soro dos voluntários foram obtidos e processados utilizando estatística multivariada. Inicialmente, foi empregada a Análise de Agrupamentos Hierárquicos (HCA) resultando em dois grupos, contendo onze e quatorze amostras cada. Utilizou-se a Análise Discriminante Ortogonal por Mínimos Quadrados (OPLS-DA) para identificar as variáveis responsáveis pela discriminação. Resultados: O autorrelato de adesão dos pacientes ao tratamento mostrou-se falho quando confrontados com os resultados da HCA. A principal diferença entre os grupos foi a resposta ao tratamento. No grupo II , 81,8% dos voluntários não responderam ao tratamento, enquanto no grupo I, esse número foi igual a 42,8%. Alanina, serina, arginina, colina, N-acetil D-glicosamina, glutamato, lactato, glicose, VLDL/LDL foram os metabólitos identificados. Observou-se que o perfil metabólico dos voluntários do Grupo II pode indicar uma condição clínica mais grave em comparação aos do Grupo I. Conclusão: A RMN demonstrou capacidade de identificar a resposta ao tratamento da rinite alérgica, diferenciando pacientes com formas mais graves e crônicas da doença.
Referências
AÏT-KHALED N, et al. Global map of the prevalence of symptoms of rhinoconjunctivitis in children: The International Study of Asthma and Allergies in Childhood (ISAAC) Phase Three. Allergy, 2009; 64(1): 123-148.
BOUSQUET J, et al. Allergic Rhinitis and its Impact on Asthma (ARIA) 2008 update (in collaboration with the World Health Organization, GA (2) LEN and AllerGen). Allergy, 2008; 63(Suppl 86): 8-160.
COMHAIR SAA, et al. Metabolomic Endotype of Asthma. Journal of Immunology, 2015; 195(2): 643-650.
CZECH EJ, et al. Allergic Rhinitis. Primary Care, 2023; 50(2): 159-178.
EMBADE N, et al. Metabolic Characterization of Advanced Liver Fibrosis in HCV Patients as Studied by Serum 1H-NMR Spectroscopy. PLoS One, 2016; 11(5): e0155094.
GAO H, et al. The metabonomic study of Shaoyao-Gancao decoction in a rat model of acute bronchial asthma by 1 H NMR. Analytical Methods, 2016; 8(3): 570-581.
HOLMES J, HEANEY LG. Measuring adherence to therapy in airways disease. Breathe, 2021; 17(2): 210037.
HUANG K, et al. Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites, 2022; 12(10):.2-15.
HUGTENBURG JG, et al. Definitions, variants, and causes of nonadherence with medication: a challenge for tailored interventions. Patient Preference and Adherence, 2013; 7: 675-682.
KELLY RS, et al. Asthma Metabolomics and the Potential for Integrative Omics in Research and the Clinic. Chest, 2017; 151(2): 262–277.
LIU YL, et al. Allergen detection and logistic multifactor analysis of allergic rhinitis. European Review for Medical and Pharmacological Sciences, 2023; 27(7): 2751-2758.
MA GC, et al. Serum metabolomics study of patients with allergic rhinitis. Biomedical Chromatography, 2020; 34(3): e4739.
NETO FTL, et al. 1H NMR-based metabonomics for infertility diagnosis in men with varicocele. Journal of Assisted Reproduction and Genetics, 2020; 37(9): 2233-2247.
NICHOLSON JK, et al. “Metabonomics”: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 1999; 29(11): 1181–1189.
NIETO A, et al. Pediatric allergy and immunology in Spain. Pediatric Allergy and Immunology, 2011; 22(7): 742-750.
OSTERBERG L, BLASCHKE T. Adherence to medication. New England Journal of Medicine, 2005; 353(5): 487-497.
PAPI A, et al. Relationship of Inhaled Corticosteroid Adherence to Asthma Exacerbations in Patients with Moderate-to-Severe Asthma. Journal of Allergy and Clinical Immunology: In Practice, 2018; 6(6): 1989-1998.e3.
PASSALI D, et al. The International Study of the Allergic Rhinitis Survey: outcomes from 4 geographical regions. Asia Pacific Allergy, 2018; 8(1): e7.
PONTES TA, et al. Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics. PLoS ONE, 2019; 14(5):1–10.
ROLIM AEH, et al. Lipidomics in the study of lipid metabolism: Current perspectives in the omic sciences. Gene, 2015; 554(2): 131-139.
SAGDIC O, et al. Total phenolic content, antiradical, antioxidant and antimicrobial activities of Rhododendron honeys. Food Chemistry, 2010; 121: 238–243.
SCHULER IV CF, MONTEJO JM. Allergic Rhinitis in Children and Adolescents. Immunology and Allergy Clinics of North America, 2021; 41(4): 613-625.
SCHULER IV CF; MONTEJO, JM. Allergic Rhinitis in Children and Adolescents. Pediatric Clinics of North America, 2019; 66(5): 981-993.
VIGNOLI A, et al. NMR-Based Metabolomics to Evaluate Individual Response to Treatments. Handbook of Experimental Pharmacology, 2023; 277: 209-245.
VILLASEÑOR A, et al. Allergic asthma: an overview of metabolomic strategies leading to the identification of biomarkers in the field. Clinical & Experimental Allergy, 2017; 47(4): 442-456.
WANG Y, et al. Characterization of dysbiosis of the conjunctival microbiome and nasal microbiome associated with allergic rhinoconjunctivitis and allergic rhinitis. Frontiers in Immunology, 2023; 14: 1079154.
WORLD HEALTH ORGANIZATION. (2003). Adherence to long-term therapies: evidence for action. World Health Organization. Available in: https://iris.who.int/handle/10665/42682. Accessed on: January 12, 2023.
XIE S, et al. Prediction of Sublingual Immunotherapy Efficacy in Allergic Rhinitis by Serum Metabolomics Analysis. International Immunopharmacology, 2021; 90: 107211.
ZHANG W, et al. Effects of physical therapy on lung function in children with asthma: a systematic review and meta-analysis. Pediatric Research, 2021; 89(6): 1343-1351.
ZHOU Y, et al. 1H NMR-based metabolomic study of metabolic profiling for pollinosis. The World Allergy Organization Journal, 2019; 12(1): 100005.