Targeted next-generation sequencing - a promising approach in the diagnosis of Mycobacterium tuberculosis and drug resistance

结核分枝杆菌 抗药性 肺结核 医学 药品 DNA测序 病毒学 计算生物学 微生物学 生物 遗传学 药理学 基因 病理
作者
Xiaocui Wu,Guangkun Tan,Chunlei Sun,Yang Wang,Jinghui Yang,Chunqiu Wu,Chaohui Hu,Fangyou Yu
出处
期刊:Infection [Springer Nature]
卷期号:53 (3): 967-979 被引量:10
标识
DOI:10.1007/s15010-024-02411-w
摘要

Targeted next-generation sequencing (tNGS) offers a high-throughput, culture-independent approach that delivers a comprehensive resistance profile in a significantly shorter turn-around time, making it promising in enhancing tuberculosis (TB) diagnosis and informing treatment decisions. This study aims to evaluate the performance of tNGS in the TB diagnosis and drug resistance detection of Mycobacterium tuberculosis (MTB) using MTB clinical isolates and bronchoalveolar lavage fluid (BALF) samples. A total of 143 MTB clinical isolates were assessed, tNGS, phenotypic antimicrobial susceptibility testing (AST), and AST based on whole genome sequencing (WGS) exhibited high concordance rates, averaging 95.10% and 97.05%. Among 158 BALF samples, culture, Xpert MTB/RIF, and tNGS reported 29, 70 and 111 positives, respectively. In the confirmed cases with etiological evidence (smears, cultures, or molecular test), the positive rate of tNGS (73/83, 87.95%) was higher than that of Xpert MTB (67/83, 80.72%). Additionally, 45% (27/60) of clinically diagnosed cases (with imaging or immunological evidence) were positive for tNGS. Further validation on the discrepant results between tNGS and Xpert MTB/RIF with droplet digital PCR (ddPCR) yielded 35 positives, tNGS detected all, and Xpert MTB/RIF only identified 6 positives. In conclusion, tNGS demonstrates robust and rapid performance in the identification of MTB and its associated drug resistance, and can be directly applied to clinical samples, positioning it as a promising approach for laboratory testing of tuberculosis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
天天快乐应助科研通管家采纳,获得10
刚刚
刚刚
1秒前
乐乐应助jsw采纳,获得10
1秒前
1秒前
负责的黄豆关注了科研通微信公众号
2秒前
CodeCraft应助Ztx采纳,获得10
2秒前
2秒前
小马甲应助zzzzzyy采纳,获得10
2秒前
草木生发布了新的文献求助10
2秒前
2秒前
3秒前
安琪发布了新的文献求助10
3秒前
北克发布了新的文献求助10
5秒前
传奇3应助机灵的觅山采纳,获得10
5秒前
ucas发布了新的文献求助10
5秒前
zz发布了新的文献求助10
6秒前
7秒前
zzzzz发布了新的文献求助10
7秒前
7秒前
hl_x发布了新的文献求助10
7秒前
zbs发布了新的文献求助10
8秒前
10秒前
英姑应助Annie采纳,获得10
10秒前
jiangjiang完成签到,获得积分10
11秒前
慕青应助mmmk采纳,获得30
13秒前
xuxingxing完成签到,获得积分10
13秒前
13秒前
13秒前
chenzi完成签到,获得积分20
14秒前
呱呱蛙完成签到,获得积分10
14秒前
量子星尘发布了新的文献求助10
15秒前
Ztx发布了新的文献求助10
15秒前
冰茉莉发布了新的文献求助50
16秒前
wanci应助Marciu33采纳,获得10
16秒前
坚强乌龟完成签到,获得积分20
16秒前
元谷雪发布了新的文献求助10
17秒前
大力飞扬发布了新的文献求助10
17秒前
18秒前
18秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5695511
求助须知:如何正确求助?哪些是违规求助? 5102149
关于积分的说明 15216311
捐赠科研通 4851790
什么是DOI,文献DOI怎么找? 2602705
邀请新用户注册赠送积分活动 1554389
关于科研通互助平台的介绍 1512420