Exploring Inflammatory Asthma Phenotypes: Proteomic Signatures in Serum and Induced Sputum.
Larissa Prado MaiaThulio Marquez CunhaPaula Souza SantosMário Machado MartinsPeter BrizaFatima FerreiraMaria Marta AmorimLilian Ballini CaetanoCamyla Fernandes FariasIlka Lopes SantoroAna Luisa Godoy FernandesLuiz Ricardo GoulartPublished in: International journal of molecular sciences (2024)
Asthma drug responses may differ due to inflammatory mechanisms triggered by the immune cells in the pulmonary microenvironment. Thus, asthma phenotyping based on the local inflammatory profile may aid in treatment definition and the identification of new therapeutic targets. Here, we investigated protein profiles of induced sputum and serum from asthma patients classified into eosinophilic, neutrophilic, mixed granulocytic, and paucigranulocytic asthma, according to inflammatory phenotypes. Proteomic analyses were performed using an ultra-performance liquid chromatography (ultra-HPLC) system coupled to the Q Exactive Hybrid Quadrupole Orbitrap Mass Spectrometer. Fifty-two (52) proteins showed significant differences in induced sputum among the groups, while only 12 were altered in patients' sera. Five proteins in the induced sputum were able to discriminate all phenotypic groups, while four proteins in the serum could differentiate all except the neutrophilic from the paucigranulocytic inflammatory pattern. This is the first report on comparative proteomics of inflammatory asthma phenotypes in both sputum and serum samples. We have identified a potential five-biomarker panel that may be able to discriminate all four inflammatory phenotypes in sputum. These findings not only provide insights into potential therapeutic targets but also emphasize the potential for personalized treatment approaches in asthma management.
Keyphrases
- lung function
- cystic fibrosis
- chronic obstructive pulmonary disease
- mycobacterium tuberculosis
- oxidative stress
- pulmonary tuberculosis
- mass spectrometry
- allergic rhinitis
- liquid chromatography
- end stage renal disease
- diabetic rats
- high glucose
- high resolution
- ejection fraction
- chronic kidney disease
- newly diagnosed
- drug induced
- peritoneal dialysis
- simultaneous determination
- prognostic factors
- stem cells
- gene expression
- endothelial cells
- risk assessment
- small molecule
- air pollution
- climate change
- label free
- patient reported
- combination therapy
- adverse drug
- high speed