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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/15723


    Title: Sputum microbiota composition can predict the disease progression in patients with nontuberculous mycobacterium lung disease
    Authors: Huang, HL;Lin, CH;Liao, YC;Wang, JY
    Contributors: Institute of Population Health Sciences
    Abstract: Background and Aims: For the uncertain clinical naturecourse after diagnosis of lung diseases caused by Nontuber-culous mycobacteria (NTM-LD), time to initiate the lengthyantimicrobial therapy remains clinical challenge. We aimedto evaluate the impact of the sputum microbiome in deter-mining the progression of NTM-LDMethods: A total of 126 adult patients of newly diagnosedNTM-LD, compassing with≥2 sputum cultures of Myco-bacterium avium complex (MAC), M. abscessus andM. kansasii, clinical symptoms and typical radiographicmanifestations between May 2020 and Dec 2021 wererecruited. Each case was follow-up for 2 years to determinetheir progression status. Microbiome profiling of 126 sputumsamples was conducted through 16S rRNA gene sequencing.We applied six feature selective methods, including DESeq2,LEfSe, MaAsLin2, Lasso, Limma and LOCOM to identifyfeatures with differential abundance between NTM-LD pro-gression and non-progression group. The candidate featureswere used to construct a prediction model using randomforest method, trained on 70% of the samples and validatedon the remaining 30%.Results: In overall, the mean age of study population was66.0 years and MAC (46.0%) is the majority offending spe-cies. Among them, 38.6% NTM-LD cases experienced dis-ease progression. Compare to non-progression group, areduction ofα-diversity was observed in progression group,and Beta-diversity revealed significant compositional differ-ences between groups (p=0.001 by PERMANOVA). Weidentified 27 genus as significantly differential abundancefeatures to establish predictive model for NTM-LD progres-sion. The top 5 differential genus included Burkhoderia,Sphingomonas, Schaalia, Streptococcus and Pelomonas. Thediscriminative accuracy of NTM-LD progression and non-progression can be reached up to 0.892 [95% confidenceinterval (CI): 0.746–0.970], with a sensitivity of 0.786 andspecificity 0.957. Conclusions: The differed composition of respiratorymicrobiome will facilitate clinicians to predict the naturecourse of NTM-LD and may develop precision treatmentstrategies by tuning the respiratory microbiome compositionto ameliorate NTM-LD progression.
    Date: 2023-11-14
    Relation: Respirology. 2023 Nov 14;28(S4):111.
    Link to: https://doi.org/10.1111/resp.14618
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1323-7799&DestApp=IC2JCR
    Appears in Collections:[廖玉潔] 會議論文/會議摘要

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