Evidence map›Paper›PMID 39159267›Full record

ArticlePLoS biology2024

A noninvasive BCG skin challenge model for assessing tuberculosis vaccine efficacy.

Nitya Krishnan, Miles Priestman, Iria Uhía, Natalie Charitakis, Izabella T Glegola-Madejska, Thomas M Baer, Albin Tranberg, Alan Faraj, Ulrika Sh Simonsson, Brian D Robertson

Abstract read
In one paragraph

Article in PLoS biology, 2024. 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

10 authors.

Nitya KrishnanDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Miles PriestmanDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Iria UhíaDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Natalie CharitakisDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Izabella T Glegola-MadejskaDepartment of Life Sciences, Centre for Bacterial Resistance Biology, Imperial College London, London, United Kingdom.
Thomas M BaerStanford Photonics Research Center, Stanford University, Stanford, California, United States of America.
Albin TranbergDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Alan FarajDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Ulrika Sh SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Brian D RobertsonDepartment of Infectious Disease, Imperial College London, London, United Kingdom.ORCID 0000-0001-5785-5307

Funding

Bill and Melinda Gates Foundation
6 · The paper itself

Abstract

We report here on the characterisation in mice of a noninvasive bacille Calmette-Guérin (BCG) skin challenge model for assessing tuberculosis (TB) vaccine efficacy. Controlled human infection models (CHIMs) are valuable tools for assessing the relevant biological activity of vaccine candidates, with the potential to accelerate TB vaccine development into the clinic. TB infection poses significant constraints on the design of a CHIM using the causative agent Mycobacterium tuberculosis (Mtb). A safer alternative is a challenge model using the attenuated vaccine agent Mycobacterium bovis BCG as a surrogate for Mtb, and intradermal (skin) challenge as an alternative to pulmonary infection. We have developed a unique noninvasive imaging system based on fluorescent reporters (FluorBCG) to quantitatively measure bacterial load over time, thereby determining a relevant biological vaccine effect. We assessed the utility of this model to measure the effectiveness of 2 TB vaccines: the currently licenced BCG and a novel subunit vaccine candidate. To assess the efficacy of the skin challenge model, a nonlinear mixed-effects models was built describing the decline of fluorescence over time. The model-based analysis identified that BCG vaccination reduced the fluorescence readout of both fluorophores compared to unvaccinated mice (p < 0.001). However, vaccination with the novel subunit candidate did not alter the fluorescence decline compared to unvaccinated mice (p > 0.05). BCG-vaccinated mice that showed the reduced fluorescent readout also had a reduced bacterial burden in the lungs when challenged with Mtb. This supports the fluorescence activity in the skin as a reflection of vaccine induced functional pulmonary immune responses. This novel noninvasive approach allows for repeated measurements from the challenge site, providing a dynamic readout of vaccine induced responses over time. This BCG skin challenge model represents an important contribution to the ongoing development of controlled challenge models for TB.

Indexed as

BCG VaccineDisease Models, AnimalMycobacterium tuberculosisSkinAnimalsBacterial LoadFemaleHumansMiceMice, Inbred C57BLMycobacterium bovisTuberculosisTuberculosis VaccinesVaccinationVaccine EfficacyBCG VaccineTuberculosis Vaccines

Identifiers

PMID39159267
PMCPMC11361749

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.