Different Phenotypes in Asthma: Clinical Findings and Experimental Animal Models.
Luiz Otávio LourençoAlessandra Mussi RibeiroFernanda Degobbi Tenório Quirino Dos Santos LopesIolanda de Fátima Lopes Calvo TibérioWothan Tavares-de-LimaCarla Máximo PradoPublished in: Clinical reviews in allergy & immunology (2021)
Asthma is a respiratory allergic disease presenting a high prevalence worldwide, and it is responsible for several complications throughout life, including death. Fortunately, asthma is no longer recognized as a unique manifestation but as a very heterogenic manifestation. Its phenotypes and endotypes are known, respectively, as pathologic and molecular features that might not be directly associated with each other. The increasing number of studies covering this issue has brought significant insights and knowledge that are constantly expanding. In this review, we intended to summarize this new information obtained from clinical studies, which not only allowed for the creation of patient clusters by means of personalized medicine and a deeper molecular evaluation, but also created a connection with data obtained from experimental models, especially murine models. We gathered information regarding sensitization and trigger and emphasizing the most relevant phenotypes and endotypes, such as Th2-high asthma and Th2-low asthma, which included smoking and obesity-related asthma and mixed and paucigranulocytic asthma, not only in physiopathology and the clinic but also in how these phenotypes can be determined with relative similarity using murine models. We also further investigated how clinical studies have been treating patients using newly developed drugs focusing on specific biomarkers that are more relevant according to the patient's clinical manifestation of the disease.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- allergic rhinitis
- case report
- healthcare
- end stage renal disease
- risk factors
- primary care
- chronic kidney disease
- cystic fibrosis
- metabolic syndrome
- newly diagnosed
- squamous cell carcinoma
- air pollution
- insulin resistance
- neoadjuvant chemotherapy
- weight loss
- body mass index
- mass spectrometry
- lymph node
- ejection fraction
- health information
- weight gain
- machine learning
- adipose tissue
- deep learning
- peritoneal dialysis
- drug induced
- atomic force microscopy
- high speed
- high fat diet induced