Evidence map›Paper›PMID 42248881›Full record

ArticleNPJ vaccines2026

Genetically diverse CC and DO mouse models enable comprehensive assessments of novel tuberculosis vaccines.

Rocky Lai, Sherry L Kurtz, Victoria Gould, Anthony Tran, Sam Afkhami, Roland Brosch, Cecilia S Lindestam Arlehamn, Zhou Xing, Karen L Elkins, Samuel M Behar

Abstract read
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In one paragraph

Article in NPJ vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rocky Lai *Department of Microbiology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Sherry L Kurtz *Center for Biologics Evaluation and Research, FDA, Silver Spring, Annapolis, MD, USA.
Victoria GouldDivision of Veterinarian Resources, NIH, Bethesda, MD, USA.
Anthony TranDepartment of Microbiology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Sam AfkhamiMcMaster Immunology Research Centre, Department of Medicine, M.G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada.
Roland BroschInstitut Pasteur, Université Paris Cité, CNRS UMR 6047, Unit for Integrated Mycobacterial Pathogenomics, Paris, France.
Cecilia S Lindestam ArlehamnCenter for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark.
Zhou XingMcMaster Immunology Research Centre, Department of Medicine, M.G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada.
Karen L ElkinsCenter for Biologics Evaluation and Research, FDA, Silver Spring, Annapolis, MD, USA.
Samuel M BeharDepartment of Microbiology, University of Massachusetts Chan Medical School, Worcester, MA, USA. samuel.behar@umassmed.edu.

Funding

Systems Genetics of TuberculosisP01AI181898 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SAMUEL M BEHAR · 2024 to 2026
$10.5M
Agence Nationale pour la Recherche ANR-10-LABX62-IBEIDNational Institute of Allergy and Infectious Diseases 5P01AI181898NIAID NIH HHS P01 AI181898TBVAC-HORIZON project 101080309
6 · The paper itself

Abstract

Development of a new vaccine for tuberculosis (TB) to replace the BCG vaccine has been hampered by the lack of a preclinical vaccine model that accurately reflects the genetic heterogeneity of the human population. We previously tested both Collaborative Cross (CC) and Diversity Outbred (DO) mice, which collectively reflect the genetic diversity of an outbred population, as models for preclinical vaccine testing. Using both CC and DO mice, we compared the ability of two different strategies to enhance BCG-mediated protection against Mycobacterium tuberculosis (Mtb). BCG::ESX-1

Identifiers

PMID42248881
PMCPMC13558714

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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.