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Central infusion of interleukin-1 receptor antagonist fails to alter feeding and weight gain

2000· article· en· W2048336292 on OpenAlexaff
Shuye Pu, Hymie Anisman, Zul Merali

Bibliographic record

VenueNeuroreport · 2000
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsAnorexiaAntagonistReceptor antagonistInternal medicineEndocrinologyInterleukin 1 receptor antagonistFood intakeWeight gainBody weightAppetiteReceptorMedicineBiology

Abstract

fetched live from OpenAlex

Interleukin-1 (IL-1) administered either i.p. or i.c.v. provokes sickness behaviors, including suppression of feeding. As well, the possibility exists that IL-1 contributes to the cascade of factors that regulate feeding under basal conditions. The current study assessed the contribution of IL-1 in the control of food intake and body weight under physiological conditions in male rats. Pretreatment with an IL- I receptor antagonist (IL-1ra, 16 mg/kg, i.p.) completely blocked the suppression of food intake produced by injection of IL-1beta (4 microg/kg, i.p.). However, neither daily injections of IL-1ra (16 mg/kg, i.p.) for 4 consecutive days nor infusion of IL-1ra (500 microg/day, i.c.v.) for 7 days altered daily food intake and the rate of body weight gain. These findings suggest while IL-1 may play a role in anorexia associated with sickness, this cytokine likely does not play a physiological role in the regulation of daily food intake and long-term energy balance.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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.

Study designObservational
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

Citations8
Published2000
Admission routes1
Has abstractyes

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