Evidence map›Paper›PMID 40134379›Full record

ArticleDisease models & mechanisms2025

Correlative 3D imaging method for analysing lesion architecture in susceptible mice infected with Mycobacterium tuberculosis.

Caroline G G Beltran, Jurgen Kriel, Stefan M Botha, Margaret B Nolan, Alessandro Ciccarelli, Ben Loos, Maximiliano G Gutierrez, Gerhard Walzl

Abstract read
In one paragraph

Article in Disease models & mechanisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Caroline G G BeltranDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.ORCID 0000-0001-5208-0506
Jurgen KrielCentral Analytical Facilities, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.ORCID 0000-0001-7558-7916
Stefan M BothaDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.
Margaret B NolanDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.
Alessandro CiccarelliThe Francis Crick Institute, London NW1 1AT, UK.
Ben LoosDepartment of Physiological Sciences, Stellenbosch University, Stellenbosch 7602, South Africa.
Maximiliano G GutierrezThe Francis Crick Institute, London NW1 1AT, UK.
Gerhard WalzlDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.

Funding

Crick African NetworkFrancis Crick InstituteNational Research Foundation SANRF86535South African Medical Research CouncilWellcome Trust CC2081
6 · The paper itself

Abstract

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.

Indexed as

Imaging, Three-DimensionalMycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAnimalsDisease SusceptibilityGranulomaLungMiceMice, Inbred C3HMicroscopy, FluorescenceCLARITYGranulomaLight-sheet fluorescence microscopySerial block face electron microscopyThree-dimensionalTuberculosisVirulence

Identifiers

PMID40134379
PMCPMC11972079

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.