Advances in the molecular diagnosis of tuberculosis: From probes to genomes

肺结核 医学 结核分枝杆菌 疾病 人类免疫缺陷病毒(HIV) 重症监护医学 结核病诊断 抗生素 抗药性 免疫学 内科学 病理 生物 微生物学
作者
Diana Machado,Isabel Couto,Miguel Viveiros
出处
期刊:Infection, Genetics and Evolution [Elsevier BV]
卷期号:72: 93-112 被引量:64
标识
DOI:10.1016/j.meegid.2018.11.021
摘要

Tuberculosis, disease caused by Mycobacterium tuberculosis, is currently the leading cause of death by a single infectious agent worldwide. Early, rapid and accurate identification of M. tuberculosis and the determination of drug susceptibility is essential for the treatment and management of this disease. Tuberculosis diagnosis is mainly based on chest radiography, smear microscopy and bacteriological culture. Smear microscopy has variable sensitivity, mainly in patients co-infected with the human immunodeficiency virus (HIV). Conventional culture for M. tuberculosis isolation, identification and drug susceptibility testing requires several weeks owning to the slow growth of M. tuberculosis. The delay in the time to results drives the prolongation of potentially inappropriate antituberculosis therapy contributing to the emergence of drug resistance, reducing treatment options and increasing treatment duration and associated costs, resulting in increased mortality and morbidity. For these reasons, novel diagnostic methods are need for timely identification of M. tuberculosis and determination of the antibiotic susceptibility profile of the infecting strain. Molecular methods offer enhanced sensitivity and specificity, early detection and the capacity to detect mixed infections. These technologies have improved turnaround time, cost effectiveness and are amenable for point-of-care testing. However, although these methods produce results within hours from sample collection, the phenotypic susceptibility testing is still needed for the determination of drug susceptibility and quantify the susceptibility levels of a given strain towards individual antibiotics. This review presents the history, advances and forthcoming promises in the molecular diagnosis of tuberculosis. An overview on the general principles, diagnostic value and the main advantages and disadvantages of the molecular methods used for the detection and identification of M. tuberculosis and its associated disease, is provided. It will be also discussed how the current phenotypic methods should be used in combination with the genotypic methods for rapid antituberculosis susceptibility testing.

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
1秒前
银古发布了新的文献求助10
2秒前
在水一方应助naruto3333采纳,获得30
3秒前
4秒前
无花果应助冷静断缘采纳,获得10
5秒前
zm完成签到,获得积分20
5秒前
MiraITowA发布了新的文献求助50
6秒前
DG发布了新的文献求助10
7秒前
7秒前
8秒前
zm发布了新的文献求助10
8秒前
共享精神应助称心橘子采纳,获得10
8秒前
雪满头应助地狱跳跳虎采纳,获得10
9秒前
魔幻的代芹完成签到,获得积分10
9秒前
9秒前
jack_forever发布了新的文献求助10
10秒前
凡空发布了新的文献求助20
11秒前
yayaya应助六子采纳,获得10
11秒前
12秒前
Dennisjone完成签到,获得积分10
12秒前
Xu关闭了Xu文献求助
12秒前
Wink完成签到 ,获得积分10
13秒前
13秒前
13秒前
结实的霸发布了新的文献求助10
13秒前
二果果果完成签到,获得积分10
14秒前
小冬腊月发布了新的文献求助10
14秒前
SciGPT应助blue采纳,获得10
16秒前
日月完成签到 ,获得积分10
16秒前
momo发布了新的文献求助10
17秒前
LL完成签到 ,获得积分10
19秒前
雨打春柳完成签到,获得积分10
20秒前
22秒前
22秒前
XZM完成签到,获得积分20
22秒前
科研通AI6.3应助哈哈哈采纳,获得10
24秒前
24秒前
25秒前
26秒前
Lucas应助chengxue采纳,获得10
27秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Gründe der Seele:Die Wiener Psychatrie im 20.Jahrhundert 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7267877
求助须知:如何正确求助?哪些是违规求助? 8888690
关于积分的说明 18788663
捐赠科研通 6944592
什么是DOI,文献DOI怎么找? 3203418
关于科研通互助平台的介绍 2376280
邀请新用户注册赠送积分活动 2179278