Evidence map›Paper›PMID 40654611›Full record

ArticlebioRxiv : the preprint server for biology2025

Cross-species blood transcriptional correlates of BCG-mediated protection against tuberculosis include innate and adaptive immune processes.

Kate Bridges, Denis Awany, Anele Gela, Temwa-Dango Mwanbene, Christopher M Sassetti, Thomas J Scriba, Douglas A Lauffenburger

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

Kate BridgesDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-3642-7068
Denis AwanySouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8379-814X
Anele GelaSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-1473-9204
Temwa-Dango MwanbeneSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Christopher M SassettiDepartment of Microbiology and Physiological Systems, UMass Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-6178-4329
Thomas J ScribaSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-0641-1359
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-0050-989X

Funding

IMMUNE MECHANISMS OF PROTECTION AGAINST MYCOBACTERIUM TUBERCULOSIS CENTER (IMPAC-TB)75N93019C00071 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI FORTUNE, SARAH · 2019 to 2025
$57.3M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Systems Genetics of TuberculosisP01AI181898 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SAMUEL M BEHAR · 2024 to 2026
$10.5M
NIAID NIH HHS 75N93019C00071NIAID NIH HHS P01 AI181898NIEHS NIH HHS T32 ES007020
6 · The paper itself

Abstract

The immune mechanisms induced by the Bacillus Calmette-Guérin (BCG) vaccine, and the subset of which mediate protection against tuberculosis (TB), remain poorly understood. This is further complicated by difficulties to verify vaccine-induced protection in humans. Although research in animal models, namely mice and non-human primates (NHPs), has begun to close this knowledge gap, discrepancies in the relative importance of biological pathways across species limit the utility of animal model-derived biological insights in humans. To address these challenges, we applied a systems modeling framework, Translatable Components Regression (TransCompR), to identify human blood transcriptional variability which could predict

Identifiers

PMID40654611
PMCPMC12247879

What OpenQuestion holds

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LicenceCC BY-ND
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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.