相关三维成像方法分析易感小鼠结核分枝杆菌病变结构。

IF 4 3区 医学 Q2 CELL BIOLOGY
Disease Models & Mechanisms Pub Date : 2025-09-01 Epub Date: 2025-03-26 DOI:10.1242/dmm.052185
Caroline G G Beltran, Jurgen Kriel, Stefan M Botha, Margaret B Nolan, Alessandro Ciccarelli, Ben Loos, Maximiliano G Gutierrez, Gerhard Walzl
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引用次数: 0

摘要

结核病(TB)的特点是在肺部形成异质的、免疫丰富的肉芽肿。宿主和病原体因素促成了这种异质性,但由于实验技术的限制,对肉芽肿多样性的分子和细胞驱动因素仍未充分了解。在这项研究中,我们开发了一种将基于被动清晰度(PACT)的清除与光片荧光显微镜相结合的方法,以观察结核分枝杆菌感染的C3HeB/FeJ小鼠的病变结构和肺部受累情况。死后肺部的三维渲染显示了传统薄层成像无法检测到的病变发展的关键建筑特征。野生型结核分枝杆菌感染导致有组织的肉芽肿,感染后第70天,中位大小增加到3.74×108µm3,占肺总容积的10%。相比之下,感染无毒的ESX-1缺失突变株导致弥漫性和稀疏组织的CD11b募集(中位数大小为8.22×107µm3),主要位于肺周围,最小程度地累及气道(占肺总间隙的0.23%)。此外,我们提出了一种体积相关光和电子显微镜的方法,能够跟踪肉芽肿内的个体免疫细胞群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlative 3D imaging method for analysing lesion architecture in susceptible mice infected with Mycobacterium tuberculosis.

Tuberculosis (TB) is characterized by the formation of heterogeneous, immune-rich granulomas in the lungs. Host and pathogen factors contribute to this heterogeneity, but the molecular and cellular drivers of granuloma diversity remain inadequately understood owing to limitations in experimental techniques. In this study, we developed an approach that combines passive CLARITY (PACT)-based clearing with light-sheet fluorescence microscopy to visualize lesion architecture and lung involvement in Mycobacterium tuberculosis-infected C3HeB/FeJ mice. Three-dimensional rendering of post-mortem lungs revealed critical architectural features in lesion development that traditional thin-section imaging could not detect. Wild-type M. tuberculosis infection resulted in organized granulomas, with median sizes increasing to 3.74×108 µm3 and occupying ∼10% of the total lung volume by day 70 post-infection. In contrast, infection with the avirulent ESX-1 deletion mutant strain resulted in diffuse and sparsely organized CD11b recruitment (median size of 8.22×107 µm3), primarily located in the lung periphery and minimally involving the airways (0.23% of the total lung space). Additionally, we present a method for volumetric correlative light and electron microscopy, enabling tracking of individual immune cell populations within granulomas.

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来源期刊
Disease Models & Mechanisms
Disease Models & Mechanisms 医学-病理学
CiteScore
6.60
自引率
7.00%
发文量
203
审稿时长
6-12 weeks
期刊介绍: Disease Models & Mechanisms (DMM) is an online Open Access journal focusing on the use of model systems to better understand, diagnose and treat human disease.
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