|
English
|
正體中文
|
简体中文
|
Items with full text/Total items : 12145/12927 (94%)
Visitors : 848069
Online Users : 752
|
|
|
Loading...
|
Please use this identifier to cite or link to this item:
http://ir.nhri.org.tw/handle/3990099045/15861
|
Title: | Sputum bacterial microbiota signature as a surrogate for predicting disease progression of nontuberculous mycobacterial lung disease |
Authors: | Huang, HL;Lin, CH;Lee, MR;Huang, WC;Sheu, CC;Cheng, MH;Lu, PL;Huang, CH;Yeh, YT;Yang, JM;Chong, IW;Liao, YC;Wang, JY |
Contributors: | Institute of Population Health Sciences |
Abstract: | OBJECTIVES: Predicting progression of nontuberculous mycobacterial lung disease (NTM-LD) remains challenging. This study evaluated whether sputum bacterial microbiome diversity can be the biomarker and provide novel insights into related phenotypes and treatment timing. METHODS: We analyzed 126 sputum microbiomes of 126 patients with newly diagnosed NTM-LD due to Mycobacterium avium complex, M. abscessus complex, and M. kansasii between May 2020 and December 2021. Patients were followed for 2 years to determine their disease progression status. We identified consistently representative genera that differentiated the progressor and nonprogressor by using six methodologies. These genera were used to construct a prediction model using random forest with 5-fold cross validation. RESULTS: Disease progression occurred in 49 (38.6%) patients. Compared with nonprogressors, α-diversity was lower in the progressors. Significant compositional differences existed in the β-diversity between groups (p=0.001). The prediction model for NTM-LD progression constructed using seven genera (Burkholderia, Pseudomonas, Sphingomonas, Candidatus Saccharibacteria, Phocaeicola, Pelomonas, and Phascolarctobacterium) with significantly differential abundance achieved an area under curve of 0.871. CONCLUSIONS: Identification of the composition of sputum bacterial microbiome facilitates prediction of the course of NTM-LD, and maybe used to develop precision treatment involving modulating the respiratory microbiome composition to ameliorate NTM-LD. |
Date: | 2024-05-11 |
Relation: | International Journal of Infectious Diseases. 2024 May 11;Article in Press. |
Link to: | http://dx.doi.org/10.1016/j.ijid.2024.107085 |
JIF/Ranking 2023: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1201-9712&DestApp=IC2JCR |
Appears in Collections: | [廖玉潔] 期刊論文
|
Files in This Item:
File |
Description |
Size | Format | |
PUB38740280.pdf | | 1382Kb | Adobe PDF | 126 | View/Open |
|
All items in NHRI are protected by copyright, with all rights reserved.
|