Literature DB >> 31444101

Rapid diagnosis of bacterial meningitis by nanopore 16S amplicon sequencing: A pilot study.

Jangsup Moon1, Narae Kim2, Tae-Joon Kim3, Jin-Sun Jun4, Han Sang Lee2, Hye-Rim Shin2, Soon-Tae Lee2, Keun-Hwa Jung2, Kyung-Il Park5, Ki-Young Jung2, Manho Kim2, Sang Kun Lee2, Kon Chu6.   

Abstract

Early administration of antibiotics is crucial in the management of bacterial meningitis. Rapid pathogen identification helps to make a definite diagnosis of bacterial meningitis and enables tailored antibiotic treatment. We investigated if the 16S amplicon sequencing performed by MinION, a nanopore sequencer, was capable of rapid pathogen identification in bacterial meningitis. Six retrospective cases of confirmed bacterial meningitis and two prospective cases were included. The initial cerebrospinal fluid (CSF) samples of these patients were used for the experiments. DNA was extracted from the CSF, and PCR was performed on the 16S ribosomal DNA (16S rDNA). Sequencing libraries were prepared using the PCR products, and MinION sequencing was performed for up to 3 h. The reads were aligned to the bacterial database, and the results were compared to the conventional culture studies. Pathogenic bacteria were successfully detected from the CSF by 16S sequencing in all retrospective cases. 16S amplicon sequencing was more sensitive than conventional diagnostic tests and worked properly even in antibiotics-treated samples. MinION sequencing significantly reduced the turnaround time, and even 10 min of sequencing was sufficient for pathogen detection in certain cases. Protocol adjustment could further increase the sensitivity and reduce the turnaround time for MinION sequencing. Finally, the prospective application of MinION 16S sequencing was successful. Nanopore 16S amplicon sequencing is capable of rapid bacterial identification from the CSF of the bacterial meningitis patients. It may have many advantages over conventional diagnostic tests and should therefore be applied in a larger number of patients in the future.
Copyright © 2019 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  16S rRNA gene; Acute bacterial meningitis; Amplicon sequencing; MinION; Pathogen detection

Mesh:

Substances:

Year:  2019        PMID: 31444101     DOI: 10.1016/j.ijmm.2019.151338

Source DB:  PubMed          Journal:  Int J Med Microbiol        ISSN: 1438-4221            Impact factor:   3.473


  18 in total

1.  Feasibility of 16S rRNA sequencing for cerebrospinal fluid microbiome analysis in cattle with neurological disorders: a pilot study.

Authors:  Sara Ferrini; Elena Grego; Ugo Ala; Giulia Cagnotti; Flaminia Valentini; Giorgia Di Muro; Barbara Iulini; Maria Cristina Stella; Claudio Bellino; Antonio D'Angelo
Journal:  Vet Res Commun       Date:  2022-06-27       Impact factor: 2.459

Review 2.  Nanopore sequencing technology, bioinformatics and applications.

Authors:  Yunhao Wang; Yue Zhao; Audrey Bollas; Yuru Wang; Kin Fai Au
Journal:  Nat Biotechnol       Date:  2021-11-08       Impact factor: 54.908

3.  Rapid Detection of Bacterial Pathogens and Antimicrobial Resistance Genes in Clinical Urine Samples With Urinary Tract Infection by Metagenomic Nanopore Sequencing.

Authors:  Lei Zhang; Wenhua Huang; Shengwei Zhang; Qian Li; Ye Wang; Ting Chen; Hua Jiang; Decong Kong; Qingyu Lv; Yuling Zheng; Yuhao Ren; Peng Liu; Yongqiang Jiang; Ying Chen
Journal:  Front Microbiol       Date:  2022-05-17       Impact factor: 6.064

4.  Comparison Analysis of Different DNA Extraction Methods on Suitability for Long-Read Metagenomic Nanopore Sequencing.

Authors:  Lei Zhang; Ting Chen; Ye Wang; Shengwei Zhang; Qingyu Lv; Decong Kong; Hua Jiang; Yuling Zheng; Yuhao Ren; Wenhua Huang; Peng Liu; Yongqiang Jiang
Journal:  Front Cell Infect Microbiol       Date:  2022-06-28       Impact factor: 6.073

Review 5.  Metagenomics for neurological infections - expanding our imagination.

Authors:  Prashanth S Ramachandran; Michael R Wilson
Journal:  Nat Rev Neurol       Date:  2020-07-13       Impact factor: 42.937

6.  Current Blockades of Proteins inside Nanopores for Real-Time Metabolome Analysis.

Authors:  Sarah Zernia; Nieck Jordy van der Heide; Nicole Stéphanie Galenkamp; Giorgos Gouridis; Giovanni Maglia
Journal:  ACS Nano       Date:  2020-02-07       Impact factor: 15.881

7.  Simultaneous detection and comprehensive analysis of HPV and microbiome status of a cervical liquid-based cytology sample using Nanopore MinION sequencing.

Authors:  Lili Quan; Ruyi Dong; Wenjuan Yang; Lanyou Chen; Jidong Lang; Jia Liu; Yu Song; Shuiqing Ma; Jialiang Yang; Weiwei Wang; Bo Meng; Geng Tian
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

Review 8.  The Applications of Nanopore Sequencing Technology in Pathogenic Microorganism Detection.

Authors:  Xiaojian Zhu; Shanshan Yan; Fenghua Yuan; Shaogui Wan
Journal:  Can J Infect Dis Med Microbiol       Date:  2020-12-31       Impact factor: 2.471

9.  Multiple Cranial Neuropathies Due to a Mixed Infection in Skull Base Osteomyelitis: A Nanopore Sequencing Study.

Authors:  Keun Tae Kim; Yu Hun Jeong; Seon Jae Ahn; Jangsup Moon; Yong Won Cho; Kon Chu
Journal:  J Clin Neurol       Date:  2021-07       Impact factor: 3.077

10.  Cerebrospinal fluid MinION sequencing of 16S rRNA gene for rapid and accurate diagnosis of bacterial meningitis.

Authors:  Nguyen Thi Thu Hong; Ho Dang Trung Nghia; Tran Tan Thanh; Nguyen Phu Huong Lan; Nguyen Thi Han Ny; Nghiem My Ngoc; Vu Thi Ty Hang; Le Thi My Chau; Van Xuan Quynh; Le Thi Diem; Bui Thi Bich Hanh; Nguyen Ho Hong Hanh; Du Trong Duc; Dinh Nguyen Huy Man; James Campbell; Pham Kieu Nguyet Oanh; Jeremy Day; Nguyen Hoan Phu; Nguyen Van Vinh Chau; Guy Thwaites; Le Van Tan
Journal:  J Infect       Date:  2019-12-28       Impact factor: 6.072

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