Evidence map›Paper›PMID 42243511›Full record

ReviewLab animal2026

The study of immunological markers in tuberculosis across animal models and its translation to human research.

Sergio Díaz-Fernández, Matilde Aleluia, Margarida Saraiva, Pablo Soldevilla, Jordi B Torrelles, Riti Sharan, Frank A W Verreck, Angelo Izzo, Maria Vidal, Ana C Moreira and 7 more

Abstract readReview
In one paragraph

Review in Lab animal, 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
0cells of the map it votes in
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

17 authors.

Sergio Díaz-FernándezInstitut d'Investigació Germans Trias i Pujol, Badalona, Spain.
Matilde Aleluiai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Margarida Saraivai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Pablo SoldevillaInstitut d'Investigació Germans Trias i Pujol, Badalona, Spain.
Jordi B TorrellesPopulation Health Program Southwest National Primate ResearchCenter, Texas Biomedical Research Institute, San Antonio, TX, USA.
Riti SharanHost-Pathogen Interactions Program Southwest National Primate Research Center, Texas Biomedical ResearchInstitute, San Antonio, TX, USA.
Frank A W VerreckSection of TB Research and Immunology, Biomedical Primate Research Centre, Rijswijk, the Netherlands.
Angelo IzzoCentenary Institute, The University of Sydney, Sydney, New South Wales, Australia.
Maria VidalInstitut d'Investigació Germans Trias i Pujol, Badalona, Spain.ORCID http://orcid.org/0000-0003-2705-9873
Ana C Moreirai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Bernat Pérez de ValUnitat mixta d'investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain.ORCID http://orcid.org/0000-0003-3127-9182
Francisco Jose RocaDepartment of Biochemistry and Molecular Biology and Immunology Infectious Disease Pathology, Clinical Microbiology and Tropical Medicine, Biomedical Research Institute of Murcia (IMIB-Pascual Parrilla), University of Murcia, Murcia, Spain.
Madalina PredaDepartment of Microbiology, Parasitology and Virology, Faculty of Midwives and Nursing, 'Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania.
Eduard TorrentsInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3010-1609
Esther JuliánGenetics and Microbiology Department. Universitat Autònoma de Barcelona, Bellaterra, Spain.ORCID http://orcid.org/0000-0002-6558-3978
José Domínguez *Institut d'Investigació Germans Trias i Pujol, Badalona, Spain.
Irene Latorre *Institut d'Investigació Germans Trias i Pujol, Badalona, Spain. ilatorre@igtp.cat.ORCID http://orcid.org/0000-0001-8159-2455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis, remains one of the major causes of death from infection worldwide, with over a million associated deaths each year. The study of biomarkers for TB is critical for advancing our understanding and management of the disease. Biomarkers, defined as measurable indicators of biological states or conditions, are invaluable for the diagnosis, prognosis and treatment monitoring of TB. Clinical studies have provided critical knowledge on the matter but are also notoriously constrained by economical, ethical and sampling limitations. The use of animal models provides a simpler, more controllable, cost-effective setting with great potential for translation to humans. They also allow the evaluation of biomarkers within the respiratory compartment, when available, which is of particular interest due to the nature of TB pathogenesis. This Review focuses on the current landscape of TB biomarker discovery in several animal models, from invertebrates to large mammals. Here we summarize the basics of host-pathogen immune interaction, describe the main methodological approaches used and highlight the most substantial findings for each animal model studied. Furthermore, we discuss the advantages, challenges and limitations associated with species-specific differences in animal models. We conclude that integrating the data obtained from animal models and human studies is absolutely required to advance the TB field to accelerate the management of this disease.

Indexed as

BiomarkersDisease Models, AnimalTuberculosisAnimalsHost-Parasite InteractionsHumansMycobacterium tuberculosisSpecies SpecificityTranslational Research, BiomedicalBiomarkers

Identifiers

PMID42243511
PMCPMC13318633

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.