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1.
Int J Mol Sci ; 25(6)2024 Mar 20.
Artículo en Inglés | MEDLINE | ID: mdl-38542471

RESUMEN

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.


Asunto(s)
Asma , Esputo , Humanos , Neutrófilos/metabolismo , Proteómica , Inflamación/metabolismo , Fenotipo , Eosinófilos
2.
J Asthma ; 45(7): 579-82, 2008 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-18773330

RESUMEN

BACKGROUND: To achieve the best health possible, asthma patients require targeted education to understand the disease and how it may affect them, and what they need to do to keep it controlled. AIM: To measure the length of time needed in a structured educational training program to achieve well-controlled asthma status. METHODS: This 5-month clinical trial enrolled previously untreated adult asthma patients at the Asthma Center of the President Dutra Public Hospital/Federal University of Maranhao-Brazil. At the first visit, patients were stratified according to their pre-bronchodilator peak expiratory flow rate (PEFR) measurements: Class I was defined as PEFR > 80% of the predicted value; Class II as PEFR 50-80% of predicted value, and Class III as PEFR < 50% of predicted value. At enrollment and each follow-up visit patients were assessed for asthma symptoms and health care utilization. In the educational program, sessions covered signs and symptoms of asthma exacerbation, triggering factors, environmental control, and asthma drug effects. The time required to achieve well-controlled status and the total time free of asthma symptoms were evaluated by Kaplan-Meier curves. The log-rank test was used to compare PEFR classes, with significance being measured as p-values < or = 0.05. RESULTS: A total of 121 patients met the eligibility criteria and underwent the 6-month follow-up. The first six-month Kaplan-Meier curve demonstrated that Class I patients had a significantly better probability of achieving well-controlled asthma than the other classes (log rang = 6.78, p = 0.03), The second 6-month Kaplan-Meier curve analyzed the total time free of asthma symptoms according to PEFR class (log rank = 11, 22 p = 0.003). The time required to reach a well-controlled status was 2 or 3 months, depending on the baseline level of airway obstruction: patients in PEFR classes I and II achieved good control earlier than patients in PEFR Class III. Education and targeted training remain a key element of doctor-patient interactions and success of asthma control efforts.


Asunto(s)
Asma/tratamiento farmacológico , Glucocorticoides/administración & dosificación , Educación del Paciente como Asunto , Relaciones Médico-Paciente , Administración por Inhalación , Adolescente , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Factores de Tiempo
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