Host DNA depletion assisted metagenomic sequencing of bronchoalveolar lavage fluids for diagnosis of pulmonary tuberculosis

被引:0
作者
Yuan, Jinfeng [1 ]
Ma, Liping [2 ]
Du, Juan [3 ]
Sun, Hailin [4 ]
Li, Shanshan [1 ]
Zhou, Gang [5 ]
Rao, Guanhua [5 ]
Sun, Fengshuo [5 ]
Chen, Wangyang [5 ]
Miao, Hui [5 ]
Tian, Dan [6 ]
Cheng, Changhao [3 ]
Wang, Yan [4 ]
Li, Liang [7 ]
Li, Lifeng [5 ]
Pang, Yu [1 ]
机构
[1] Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Res Inst, Dept Bacteriol & Immunol, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Res Inst, Dept TB, Beijing, Peoples R China
[3] Wuhan Pulm Hosp, Dept TB, Wuhan, Peoples R China
[4] Ordos Second Peoples Hosp, Dept TB, Ordos, Peoples R China
[5] Genskey Med Technol Co Ltd, A212 Innovat Bldg, Beijing, Peoples R China
[6] Wuhan Pulm Hosp, Dept TB Prevent, Wuhan, Hubei, Peoples R China
[7] Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Res Inst, Clin Ctr TB Control, Beijing, Peoples R China
关键词
Pulmonary tuberculosis; Drug resistance; Host DNA depletion; Metagenomic next-generation sequencing; Bronchoalveolar lavage fluid;
D O I
10.1186/s12941-025-00782-y
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Metagenomic next-generation sequencing (mNGS) has greatly improved our understanding of pathogens in infectious diseases such as pulmonary tuberculosis (PTB). However, high human DNA background (> 95%) impedes the detection sensitivity of mNGS in identifying intracellular Mycobacterium tuberculosis (MTB), posing a pressing challenge for MTB diagnosis. Therefore, there is an urgent need to improve MTB diagnosis performance in PTB patients. In this study, we optimized mNGS method for diagnosis of PTB. This led to the development of the host DNA depletion assisted mNGS (HDA-mNGS) technique, which we compared with conventional mNGS and the host DNA depletion-assisted Nanopore sequencing (HDA-Nanopore) in diagnostic performance. We collected 105 bronchoalveolar lavage fluid (BALF) samples from suspected PTB patients across three medical centers to assess the clinical performance of these methods. The results of our study showed that HDA-mNGS had the highest sensitivity (72.0%) and accuracy (74.5%) in PTB detection. This was significantly higher compared to mNGS (51.2%, 58.2%) and HDA-Nanopore (58.5%, 62.2%). Furthermore, HDA-mNGS provided an increased coverage of the MTB genome by up to 16-fold. Antibiotic resistance gene analysis indicated that HDA-mNGS could provide increased depth to the detection of Antimicrobial resistance (AMR) locus more effectively. These findings indicate that HDA-mNGS can significantly improve the clinical performance of PTB diagnosis for BALF samples, offering great potential in managing antibiotic resistance in PTB patients.
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页数:11
相关论文
共 37 条
[1]  
Association C., 2005, China clinical treatment guide for tuberculosis
[2]   Application of Targeted Next-Generation Sequencing Assay on a Portable Sequencing Platform for Culture-Free Detection of Drug-Resistant Tuberculosis from Clinical Samples [J].
Cabibbe, Andrea M. ;
Spitaleri, Andrea ;
Battaglia, Simone ;
Colman, Rebecca E. ;
Suresh, Anita ;
Uplekar, Swapna ;
Rodwell, Timothy C. ;
Cirillo, Daniela M. .
JOURNAL OF CLINICAL MICROBIOLOGY, 2020, 58 (10)
[3]   Application of next generation sequencing-based rapid detection platform for microbiological diagnosis and drug resistance prediction in acute lower respiratory infection [J].
Chao, Lingshan ;
Li, Jihong ;
Zhang, Ya'nan ;
Pu, Hao ;
Yan, Xixin .
ANNALS OF TRANSLATIONAL MEDICINE, 2020, 8 (24)
[4]   Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units [J].
Charalampous, Themoula ;
Alcolea-Medina, Adela ;
Snell, Luke B. ;
Williams, Tom G. S. ;
Batra, Rahul ;
Alder, Christopher ;
Telatin, Andrea ;
Camporota, Luigi ;
Meadows, Christopher I. S. ;
Wyncoll, Duncan ;
Barrett, Nicholas A. ;
Hemsley, Carolyn J. ;
Bryan, Lisa ;
Newsholme, William ;
Boyd, Sara E. ;
Green, Anna ;
Mahadeva, Ula ;
Patel, Amita ;
Cliff, Penelope R. ;
Page, Andrew J. ;
O'Grady, Justin ;
Edgeworth, Jonathan D. .
GENOME MEDICINE, 2021, 13 (01)
[5]   Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infection [J].
Charalampous, Themoula ;
Kay, Gemma L. ;
Richardson, Hollian ;
Aydin, Alp ;
Baldan, Rossella ;
Jeanes, Christopher ;
Rae, Duncan ;
Grundy, Sara ;
Turner, Daniel J. ;
Wain, John ;
Leggett, Richard M. ;
Livermore, David M. ;
O'Grady, Justin .
NATURE BIOTECHNOLOGY, 2019, 37 (07) :783-+
[6]   Clinical metagenomics [J].
Chiu, Charles Y. ;
Miller, Steven A. .
NATURE REVIEWS GENETICS, 2019, 20 (06) :341-355
[7]   NanoPack: visualizing and processing long-read sequencing data [J].
De Coster, Wouter ;
D'Hert, Svenn ;
Schultz, Darrin T. ;
Cruts, Marc ;
Van Broeckhoven, Christine .
BIOINFORMATICS, 2018, 34 (15) :2666-2669
[8]   Metagenomics next-generation sequencing tests take the stage in the diagnosis of lower respiratory tract infections [J].
Diao, Zhenli ;
Han, Dongsheng ;
Zhang, Rui ;
Li, Jinming .
JOURNAL OF ADVANCED RESEARCH, 2022, 38 :201-212
[9]   The McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional [J].
Fagerland, Morten W. ;
Lydersen, Stian ;
Laake, Petter .
BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13
[10]   Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection [J].
Gu, Wei ;
Miller, Steve ;
Chiu, Charles Y. .
ANNUAL REVIEW OF PATHOLOGY: MECHANISMS OF DISEASE, VOL 14, 2019, 14 :319-338