التفاصيل البيبلوغرافية
| العنوان: |
A review of current biomarkers in chronic rhinosinusitis with or without nasal polyps. |
| المؤلفون: |
Nakayama, Tsuguhisa, Haruna, Shin-Ichi |
| المصدر: |
Expert Review of Clinical Immunology; Aug2023, Vol. 19 Issue 8, p883-892, 10p |
| مصطلحات موضوعية: |
NASAL polyps, SINUSITIS, BIOMARKERS, POLYPECTOMY, CLUSTER analysis (Statistics), MACHINE learning |
| مستخلص: |
Chronic rhinosinusitis (CRS) is a heterogeneous disease with a variety of cellular and molecular pathophysiologic mechanisms. Biomarkers have been explored in CRS using various phenotypes, such as polyp recurrence after surgery. Recently, the presence of regiotype in CRS with nasal polyps (CRSwNP) and the introduction of biologics for the treatment of CRSwNP has indicated the importance of endotypes, and there is a need to elucidate endotype-based biomarkers. Biomarkers for eosinophilic CRS, nasal polyps, disease severity, and polyp recurrence have been identified. Additionally, endotypes are being identified for CRSwNP and CRS without nasal polyps using cluster analysis, an unsupervised learning technique. Endotypes in CRS have still being established, and biomarkers capable of identifying endotypes of CRS are not yet clear. When identifying endotype-based biomarkers, it is necessary to first identify endotypes clarified by cluster analysis for outcomes. With the application of machine learning, the idea of predicting outcomes using a combination of multiple integrated biomarkers, rather than a single biomarker, will become mainstream. [ABSTRACT FROM AUTHOR] |
|
Copyright of Expert Review of Clinical Immunology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
