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Record W4412650244 · doi:10.3390/idr17040081

The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities

2025· review· en· W4412650244 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfectious Disease Reports · 2025
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsPublic Health Agency of CanadaUniversity of Manitoba
Fundersnot available
KeywordsMedicineTuberculosisImmunologyInternal medicineVirologyPathology

Abstract

fetched live from OpenAlex

The identification of a type I interferon-induced transcriptomic signature in active tuberculosis suggests a potential role for these interferons in the pathogenesis of tuberculosis. Comorbidities such as human immunodeficiency virus, diabetes, systemic lupus erythematosus, end-stage renal disease, and coronavirus disease are epidemiologically linked to an increased risk for reactivation of latent tuberculosis infection. Notably, type I interferons are also implicated in the pathogenesis of these conditions, with a recognizable type I interferon transcriptomic signature. The mechanisms by which type I interferons in tuberculosis-risk-associated comorbidities may drive the progression of tuberculosis or maintenance of latent infection however remain largely unknown. This review summarizes the existing literature on the increased association between type I interferons, focusing on interferon-α and -β, and the heightened risk of tuberculosis reactivation. It also underscores the similarities in the immunopathogenesis of these comorbidities. A better understanding of these mechanisms is essential to guide the development of host-directed interferon therapies and improving diagnostic biomarkers in M. tuberculosis infection.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.337
Teacher spread0.319 · 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