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Record W4410817289 · doi:10.7554/elife.106799.1

Type I interferon responses contribute to immune protection against mycobacterial infection

2025· preprint· en· W4410817289 on OpenAlexaff
Andrea Szydlo-Shein, B. Estrada, Joshua Rosenheim, Carolin T. Turner, Aneesh Chandran, Evdokia Tsaliki, Marc Lipman, Heinke Kunst, Gabriele Pollara, Philip M. Elks, Jean‐Pierre Levraud, Elspeth Payne, Mahdad Noursadeghi, Gillian S. Tomlinson

Bibliographic record

VenueeLife · 2025
Typepreprint
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsInterferonImmune systemImmunologyVirologyInterferon γMedicineBiologyInterferon gammaMicrobiology

Abstract

fetched live from OpenAlex

Abstract Type I interferon responses have been considered detrimental to host protection in tuberculosis (TB). We provide novel data to challenge this paradigm, derived from transcriptional profiling of human in vivo immune responses to discover associations with radiographic disease severity in pulmonary TB, combined with mechanistic studies to test causality for observed associations using a zebrafish larval mycobacterial infection model. Type I interferon activity in tissue samples from the site of a standardised mycobacterial challenge, the tuberculin skin test, was associated with less severe human TB disease. Abrogation of type I interferon signalling, by CRISPR-mediated mutagenesis of stat2, led to increased burden and dissemination of Mycobacterium marinum infection in zebrafish larvae. The mechanism for increased severity of mycobacterial infection in zebrafish involves reduced recruitment of myeloid cells required to restrict bacterial growth. Our data support a clear host protective role for type I interferon responses in mycobacterial infection, with potential applications for risk-stratification of adverse outcomes and development of a host-directed therapy to mitigate against severe disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.344
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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