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Asthma Phenotypes in the Era of Personalized Medicine
Asthma is a widespread disease affecting approximately 300-million people globally. This condition leads to significant morbidity, mortality, and economic strain worldwide. Recent clinical and laboratory research advancements have illuminated the immunological factors contributing to asthma. As of n...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573947/ https://www.ncbi.nlm.nih.gov/pubmed/37834850 http://dx.doi.org/10.3390/jcm12196207 |
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author | Gonzalez-Uribe, Victor Romero-Tapia, Sergio J. Castro-Rodriguez, Jose A. |
author_facet | Gonzalez-Uribe, Victor Romero-Tapia, Sergio J. Castro-Rodriguez, Jose A. |
author_sort | Gonzalez-Uribe, Victor |
collection | PubMed |
description | Asthma is a widespread disease affecting approximately 300-million people globally. This condition leads to significant morbidity, mortality, and economic strain worldwide. Recent clinical and laboratory research advancements have illuminated the immunological factors contributing to asthma. As of now, asthma is understood to be a heterogeneous disease. Personalized medicine involves categorizing asthma by its endotypes, linking observable characteristics to specific immunological mechanisms. Identifying these endotypic mechanisms is paramount in accurately profiling patients and tailoring therapeutic approaches using innovative biological agents targeting distinct immune pathways. This article presents a synopsis of the key immunological mechanisms implicated in the pathogenesis and manifestation of the disease’s phenotypic traits and individualized treatments for severe asthma subtypes. |
format | Online Article Text |
id | pubmed-10573947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105739472023-10-14 Asthma Phenotypes in the Era of Personalized Medicine Gonzalez-Uribe, Victor Romero-Tapia, Sergio J. Castro-Rodriguez, Jose A. J Clin Med Review Asthma is a widespread disease affecting approximately 300-million people globally. This condition leads to significant morbidity, mortality, and economic strain worldwide. Recent clinical and laboratory research advancements have illuminated the immunological factors contributing to asthma. As of now, asthma is understood to be a heterogeneous disease. Personalized medicine involves categorizing asthma by its endotypes, linking observable characteristics to specific immunological mechanisms. Identifying these endotypic mechanisms is paramount in accurately profiling patients and tailoring therapeutic approaches using innovative biological agents targeting distinct immune pathways. This article presents a synopsis of the key immunological mechanisms implicated in the pathogenesis and manifestation of the disease’s phenotypic traits and individualized treatments for severe asthma subtypes. MDPI 2023-09-26 /pmc/articles/PMC10573947/ /pubmed/37834850 http://dx.doi.org/10.3390/jcm12196207 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gonzalez-Uribe, Victor Romero-Tapia, Sergio J. Castro-Rodriguez, Jose A. Asthma Phenotypes in the Era of Personalized Medicine |
title | Asthma Phenotypes in the Era of Personalized Medicine |
title_full | Asthma Phenotypes in the Era of Personalized Medicine |
title_fullStr | Asthma Phenotypes in the Era of Personalized Medicine |
title_full_unstemmed | Asthma Phenotypes in the Era of Personalized Medicine |
title_short | Asthma Phenotypes in the Era of Personalized Medicine |
title_sort | asthma phenotypes in the era of personalized medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573947/ https://www.ncbi.nlm.nih.gov/pubmed/37834850 http://dx.doi.org/10.3390/jcm12196207 |
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