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Other Titles
 Biomarkers of adult asthma and personalized medicine 
 심다운  ;  이재현 
 Allergy Asthma & Respiratory Disease, Vol.4(1) : 4-13, 2016 
Journal Title
 Allergy Asthma & Respiratory Disease 
Issue Date
Asthma ; Biomarkers ; Phenotype ; Endotype ; Personalized medicine
The concept of personalized medicine for disease diagnosis, treatment, and management, considering individual variability, including susceptibility, clinical manifestations, and drug responsiveness, is a global emerging trend in medicine, which is also inevitable. However, clinical applications of personalized medicine in the real-world practice have been limited to certain cancers so far. Furthermore, this new concept to the diagnosis and treatment of adult asthma has not been applied to clinical use. Asthma is a multifactorial and heterogeneous disease. It seems to encompass a broad spectrum of clinical manifestations with different underlying pathophysiological mechanisms. Thus, it is not easy to categorize by their clinical features alone. Endotypical categorization that considering specific pathophysiological mechanisms will be more helpful in applying the concept of personalized medicine. The success of personalized medicine depends on patient selection for precise prescription of asthma medications. In the recent years, many investigators and physicians have devoted a lot of effort to the discovery of reliable biomarkers in asthmatic patients, which will be able to actualize the personalized medicine in near future. Despite such great efforts toward investigation of good biomarkers, few things have turned out to be practical in the clinic. Easily interpretable biomarkers of asthma are necessary to assess early detection, determination of treatment, prognosis prediction, and monitoring of exacerbation. Herein, we review recent studies regarding disease classifications and biomarkers of asthma.
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1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
심다운(Sim, Da Woon)
이재현(Lee, Jae Hyun) ORCID logo https://orcid.org/0000-0002-0760-0071
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