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Record W4415880045 · doi:10.1016/j.bbi.2025.106173

Developing interferon-β as a safe in vivo experimental-medicine model of human inflammation

2025· article· en· W4415880045 on OpenAlexaff
Eva Periche-Tomas, Jonathan Underwood, Claire MacIver, Helena Leach, Claudia Bone, Carol Guy, Kathy Triantafilou, Barbara Szomolay, Simon A. Jones, Neil A. Harrison

Bibliographic record

VenueBrain Behavior and Immunity · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research Council
KeywordsInflammationIn vivoSystemic inflammationTransient (computer programming)Animal model

Abstract

fetched live from OpenAlex

BACKGROUND: Inflammation is increasingly implicated in a wide range of neuropsychiatric and neurodegenerative disorders from depression to dementia. Compelling evidence for an inflammatory role in these disorders includes experimental-medicine studies with IFN-α and endotoxin, alongside therapeutic benefits observed with anti-cytokine agents. AIM: To develop and characterise a new, safe in-vivo mild inflammatory response that is titratable, elicits robust host sickness manifestations within an experimentally tractable timeframe, and has minimal cardiovascular effects, avoiding the requirement for continuous cardiac monitoring and ensuring applicability across diverse experimental contexts and participant groups, from the young to the elderly. METHODS: Using a randomized, blinded, placebo-controlled, repeated measures cross-over design, physiological, behavioural, cytokine, cellular and transcriptomic immune responses were collected from 30 healthy volunteers (15 young (18-34) and 15 older (60-75) years) on two separate occasions, once after 100 µg subcutaneous IFN-β (EXTAVIA®) and once after subcutaneous saline (placebo) injection. RESULTS: IFN-β increased ∼15-fold at 4 h and 9-fold at 6½ hours and rapidly induced anticipated increases in negative mood, tiredness, tension and sickness symptoms and reduced vigour (all p < 0.01) without serious side effects. It was associated with a modest increase in temperature (mean: +1.1C) and heart rate (mean: +11 bpm) but no change in blood-pressure or cardiovascular instability. IL-6, TNF-α, neutrophil to lymphocyte ratio and monocyte count all showed significant increases (all p < 0.05). Transcriptomic analyses confirmed activation of classical Interferon signalling pathways as well as Toll-like Receptor (TLR), Inflammasome, Pyroptosis, MyD88 and a variety of other host response pathways that have been implicated in the pathophysiology of neuropsychiatric or neurodegenerative disorders. CONCLUSIONS: IFN-β is a safe, robust new experimental model of mild inflammation that can be safely used to induce transient changes in systemic inflammation in healthy individuals from 18-75 years. Modulation of diverse immunological processes suggests it could be a valuable new experimental medicine tool across neuropsychiatric and neurodegenerative disorders.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.351
Teacher spread0.292 · 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 teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

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