Demonstrating the utility of the ex vivo murine mycobacterial growth inhibition assay (MGIA) for high-throughput screening of tuberculosis vaccine candidates against multiple Mycobacterium tuberculosis complex strains

作者
Hannah Painter,Sam Willcocks,Andrea Zelmer,Rajko Reljić,Rachel Tanner,Helen A. Fletcher
出处
期刊:Tuberculosis [Elsevier BV]
卷期号:146: 102494-102494 被引量:8
标识
DOI:10.1016/j.tube.2024.102494
摘要

Human tuberculosis (TB) is caused by various members of the Mycobacterium tuberculosis (Mtb) complex. Differences in host response to infection have been reported, illustrative of a need to evaluate efficacy of novel vaccine candidates against multiple strains in preclinical studies. We previously showed that the murine lung and spleen direct mycobacterial growth inhibition assay (MGIA) can be used to assess control of ex vivo mycobacterial growth by host cells. The number of mice required for the assay is significantly lower than in vivo studies, facilitating testing of multiple strains and/or the incorporation of other cellular analyses. Here, we provide proof-of-concept that the murine MGIA can be applied to evaluate vaccine-induced protection against multiple Mtb clinical isolates. Using an ancient and modern strain of the Mtb complex, we demonstrate that ex vivo bacillus Calmette-Guérin (BCG)-mediated mycobacterial growth inhibition recapitulates protection observed in the lung and spleen following in vivo infection of mice. Further, we provide the first report of cellular and transcriptional correlates of BCG-induced growth inhibition in the lung MGIA. The ex vivo MGIA represents a promising platform to gain early insight into vaccine performance against a collection of Mtb strains and improve preclinical evaluation of TB vaccine candidates.

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
刚刚
1秒前
忧郁水彤完成签到,获得积分10
1秒前
jjj完成签到,获得积分10
2秒前
小涵发布了新的文献求助10
2秒前
12鱼完成签到,获得积分20
2秒前
挞挞黄发布了新的文献求助10
3秒前
cy完成签到,获得积分10
3秒前
着急的豌豆完成签到,获得积分10
3秒前
3秒前
佰斯特威应助温柔寒烟采纳,获得10
3秒前
神勇冷亦完成签到,获得积分10
3秒前
630354337给630354337的求助进行了留言
4秒前
机器猫nzy发布了新的文献求助10
5秒前
Alan发布了新的文献求助10
5秒前
6秒前
6秒前
Albertxkcj完成签到,获得积分20
6秒前
6秒前
稳重青易发布了新的文献求助10
6秒前
6秒前
Zllu完成签到,获得积分10
6秒前
6秒前
kmkz发布了新的文献求助10
6秒前
独特听莲发布了新的文献求助10
7秒前
哈基米完成签到,获得积分10
7秒前
八笔完成签到,获得积分10
8秒前
8秒前
小涵完成签到,获得积分10
8秒前
8秒前
vvvvv发布了新的文献求助10
9秒前
9秒前
笨小孩完成签到,获得积分10
9秒前
大个应助袁初南采纳,获得10
9秒前
隐形的凡阳完成签到,获得积分10
9秒前
10秒前
安详蜜蜂完成签到,获得积分10
10秒前
10秒前
HC完成签到,获得积分10
10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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 7628129
求助须知:如何正确求助?哪些是违规求助? 9202533
关于积分的说明 19731512
捐赠科研通 7197860
什么是DOI,文献DOI怎么找? 3273926
关于科研通互助平台的介绍 2436244
邀请新用户注册赠送积分活动 2270100