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Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota.

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资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Zhao Yan[1,2] * ; Chen Junru[3] * ; Hao Yun[1] * ; Wang Boqian[1] ; Wang Yue[1] ; Liu Qinghua[4] ; Zhao Jinming[1] ; Li Ying[1,2] ; Wang Ping[1,2] ; Wang Xiangdong[1,2,*3] ; Zhang Peng[5,*2] ; Zhang Luo[1,2,6,*1] ;
机构： [1]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China. [2]Beijing Key Laboratory of Nasal Diseases and Beijing Laboratory of Allergic Diseases, Beijing Institute of Otolaryngology, Beijing, China. [3]Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China. [4]Department of Otorhinolaryngology Head and Neck Surgery, Fujian Provincial Hospital, Fuzhou, China. [5]Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. [6]Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
出处：
DOI： 10.1111/all.15168
ISSN：

关键词： chronic rhinosinusitis with nasal polyps LASSO nasal microbiota prediction model recurrence

摘要：
Recent studies have revealed that the nasal microbiota in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) is profoundly altered and is correlated with systemic inflammation. However, little is known regarding whether the microbiota can be utilized to predict nasal polyp recurrence. This study is aimed to determine whether altered nasal microbiota constituents could be used as biomarkers to predict CRSwNP recurrence.Nasal microbiota constituents were quantified and characterized using bacterial 16S ribosomal RNA gene sequencing. Selected features for least absolute shrinkage and selection operator regression-based predictors were the nasal microbiota community composition and CRSwNP patient clinical characteristics. The primary outcome was recurrence, which was determined post-admission.By distinguishing recurrence-associated nasal microbiota taxa and exploiting the distinct nasal microbiota abundance between patients with recurrent and non-recurrent CRSwNP, we developed a predictive classifier for the diagnosis of nasal polyps' recurrence with 91.4% accuracy.Key taxonomical features of the nasal microbiome could predict recurrence in CRSwNP patients. The nasal microbiome is an understudied source of clinical variation in CRSwNP and represents a novel therapeutic target for future prevention and treatment.© 2021 European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.

基金：
This project was supported by the National Natural Science Foundation of China (81970852, 81630023, and 82000962), the program for the Changjiang scholars and innovative research team (IRT13082), the Beijing Bai-Qian- Wan talent project (2019A32), the Public Welfare Development and Reform Pilot Project (2019-10), the National Science and Technology Major Project (2019ZX09201-005), and the CAMS Innovation Fund for Medical Sciences (2019-I2M- 5- 022)
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2021]版：
大类 | 1 区 医学
小类 | 1 区 过敏 1 区 免疫学
最新[2023]版：
大类 | 1 区 医学
小类 | 1 区 免疫学 2 区 过敏
JCR分区：
出版当年[2020]版：
Q1 IMMUNOLOGY Q1 ALLERGY
最新[2023]版：
Q1 IMMUNOLOGY Q1 ALLERGY

影响因子： 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

第一作者：
第一作者机构： [1]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China. [2]Beijing Key Laboratory of Nasal Diseases and Beijing Laboratory of Allergic Diseases, Beijing Institute of Otolaryngology, Beijing, China.
共同第一作者：
通讯作者：
通讯机构： [1]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China. [2]Beijing Key Laboratory of Nasal Diseases and Beijing Laboratory of Allergic Diseases, Beijing Institute of Otolaryngology, Beijing, China. [5]Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. [6]Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. [*1]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China. [*2]Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China. [*3]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
推荐引用方式(GB/T 7714)：
Zhao Yan,Chen Junru,Hao Yun,et al.Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota.[J].Allergy.2022,77(2):540-549.doi:10.1111/all.15168.
APA：
Zhao Yan,Chen Junru,Hao Yun,Wang Boqian,Wang Yue...&Zhang Luo.(2022).Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota..Allergy,77,(2)
MLA：
Zhao Yan,et al."Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota.".Allergy 77..2(2022):540-549

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