Active <i>versus</i> latent pulmonary tuberculosis: which one is the appropriate distinguishing biomarker?

医学 生物标志物 肺结核 内科学 胃肠病学 结核分枝杆菌 肺结核 接收机工作特性 胸片 免疫学 病理 生物 生物化学
作者
Rizk Sayad R. Sarhan,Omnia Y. Habashy,Raafat R. Mohammed,Yasmin Marei
出处
期刊:Monaldi archives for chest disease [PAGEPress (Italy)]
标识
DOI:10.4081/monaldi.2024.2947
摘要

This study tried to assess the possibility of using the estimated levels of plasma expression of microRNAs (miR-) for distinguishing healthy subjects with latent pulmonary tuberculosis (LTB) from healthy controls (HC) and patients with active tuberculosis (ATB). Study participants included 30 newly diagnosed ATB patients, 30 of the households of ATB patients who were free of clinical manifestations, had normal chest radiography but had positive results on the whole-blood QuantiFERON tuberculosis (TB) Gold In-Tube (QFT-GIT) test (LTB patients), and 30 HC who were free of clinical symptoms and showed normal chest X-rays and negative QFT-GIT tests. All participants gave blood samples for quantitation of the plasma expression levels of miR- using the reverse transcription-quantitative polymerase chain reaction. Plasma levels of miR-150-5p were significantly downregulated in ATB samples than in other samples. However, miR-155-5p and miR-378-5p were significantly overexpressed in patients' samples compared to HC's samples and in ATB samples compared to LTB samples. On the contrary, plasma miR-4523-5p showed significant upregulation in LTB samples compared to ATB and HC samples, indicating insignificant in-between differences. The receiver operating characteristic curve analysis showed the ability of the estimated levels of the four miR- to differentiate TB patients from HC. Multivariate regression analysis defined expression levels of miR-155-5p and miR-378-5p as the significant biomarkers for distinguishing TB patients and levels of miR-378-5p and miR-4523-5p for identification of LTB patients. Pulmonary TB induces deregulated expression of miR-, according to the infection severity. An estimation of the expression levels of miR-378-5p and miR-4523-5p might be a reliable combination for identifying LTB patients.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
blue完成签到,获得积分10
1秒前
周周发布了新的文献求助30
1秒前
科研通AI6应助饱满远航采纳,获得10
2秒前
LALALA卫卫J完成签到,获得积分10
2秒前
ccc完成签到 ,获得积分10
2秒前
万能图书馆应助干净翠采纳,获得10
2秒前
2秒前
sytx发布了新的文献求助30
2秒前
义气冥茗完成签到,获得积分10
3秒前
不想上班了完成签到,获得积分10
4秒前
yangya完成签到,获得积分10
4秒前
5秒前
5秒前
6秒前
6秒前
须臾发布了新的文献求助10
6秒前
zhangzy完成签到,获得积分10
7秒前
89757完成签到 ,获得积分10
8秒前
浮游应助lhy采纳,获得10
10秒前
炙热的橘子完成签到,获得积分10
10秒前
12秒前
夫子发布了新的文献求助10
12秒前
倒头睡不醒完成签到 ,获得积分20
13秒前
淡淡菊花香完成签到,获得积分10
14秒前
15秒前
科研通AI6应助sky采纳,获得10
17秒前
17秒前
谨慎小翠完成签到 ,获得积分10
17秒前
yzy完成签到,获得积分10
18秒前
hhdr完成签到 ,获得积分10
19秒前
Vi完成签到,获得积分10
20秒前
星辰大海应助夫子采纳,获得10
21秒前
刘雨森发布了新的文献求助10
22秒前
852应助须臾采纳,获得10
23秒前
24秒前
思源应助HanQing采纳,获得10
24秒前
24秒前
Ruan_zzz关注了科研通微信公众号
24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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
Vertebrate Palaeontology, 5th Edition 530
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5353077
求助须知:如何正确求助?哪些是违规求助? 4485682
关于积分的说明 13964238
捐赠科研通 4385899
什么是DOI,文献DOI怎么找? 2409649
邀请新用户注册赠送积分活动 1401941
关于科研通互助平台的介绍 1375686