Detecting active pulmonary tuberculosis with a breath test using nanomaterial-based sensors

肺结核 医学 呼出气冷凝液 GeneXpert MTB/RIF公司 核酸扩增试验 免疫学 病理 哮喘 沙眼衣原体
作者
Morad K. Nakhleh,Raneen Jeries,Alaa Gharra,Anke Binder,Yoav Y. Broza,Pascoe Mellissa,Keertan Dheda,Hossam Haick
出处
期刊:The European respiratory journal [European Respiratory Society]
卷期号:43 (5): 1522-1525 被引量:97
标识
DOI:10.1183/09031936.00019114
摘要

To the Editor: Detecting active tuberculosis (TB) remains a major global public health challenge [1]. The tuberculin skin test does not distinguish latent from active TB [2]. The interferon-γ release assays have similar limitations [3]. Acid-fast bacilli staining of sputum has a high false-negative rate (up to 50%) [4]. Nucleic acid amplification tests (NAATs), such as GeneXpert MTB/RIF (Cepheid, Sunnyvale, CA, USA), are accurate but require a good infrastructure and the necessity to obtain a good quality sputum sample, which is often unobtainable in more than a third of HIV-infected persons [5, 6]. Given these unmet needs, we explored the use of a novel, rapid, simple and inexpensive point-of-care test for the diagnosis of TB [7]. The approach is based on the detection of volatile organic compounds (VOCs) that are emitted from infected cells and released in exhaled breath [8, 9]. Using gas chromatography linked with mass spectrometry, researchers have previously reported identification of TB-related VOCs in the exhaled breath, though there has been low accuracy in detection (80–85%) [10]. In this study, we explore the possibility of active TB detection via the analysis of exhaled breath using a novel technology of organically modified nanomaterial-based sensors. Such cross-reactive sensors are highly sensitive to the collective changes in the VOCs spectrum [8]. Therefore, we designed a case–control study, in which breath and sputum sampling was performed in 210 adult participants, after informed consent, at three sites in Cape Town, South Africa, between November 2011 and March 2012. The study population consisted of two main subgroups. The first subgroup included those in …
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
刚刚
hhy发布了新的文献求助10
1秒前
1秒前
邓亦可完成签到,获得积分10
1秒前
3秒前
李国明完成签到 ,获得积分10
3秒前
缓慢采萱完成签到,获得积分10
4秒前
小豹子完成签到,获得积分10
4秒前
桔子发布了新的文献求助10
4秒前
缓慢尔阳发布了新的文献求助10
5秒前
6秒前
123完成签到 ,获得积分10
8秒前
Cc完成签到,获得积分10
8秒前
杜若发布了新的文献求助10
9秒前
蒙蒙细雨完成签到,获得积分10
11秒前
婷ting发布了新的文献求助10
11秒前
李123完成签到 ,获得积分10
12秒前
12秒前
岑岑岑发布了新的文献求助10
13秒前
ugk完成签到,获得积分10
13秒前
科研通AI6.4应助缓慢尔阳采纳,获得10
14秒前
16秒前
周小周完成签到,获得积分10
16秒前
英吉利25发布了新的文献求助20
17秒前
ashleybecky完成签到 ,获得积分10
17秒前
缓慢如南发布了新的文献求助10
19秒前
所所应助桔子采纳,获得30
20秒前
20秒前
ys716完成签到,获得积分10
20秒前
xinqisusu发布了新的文献求助30
23秒前
伶俐的灵珊完成签到,获得积分10
23秒前
缓慢尔阳完成签到,获得积分10
24秒前
杜若完成签到,获得积分10
24秒前
顾矜应助我有五事相告采纳,获得10
25秒前
dd完成签到,获得积分10
25秒前
25秒前
26秒前
香蕉觅云应助Ann采纳,获得10
26秒前
26秒前
DennyClock完成签到,获得积分10
27秒前
高分求助中
(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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7761018
求助须知:如何正确求助?哪些是违规求助? 9306180
关于积分的说明 20293112
捐赠科研通 7345688
什么是DOI,文献DOI怎么找? 3313082
关于科研通互助平台的介绍 2463371
邀请新用户注册赠送积分活动 2327305