MétaCan
Menu
Back to cohort
Record W1986138857 · doi:10.1161/strokeaha.108.530535

Upregulation of Macrophage Migration Inhibitory Factor Gene Expression in Stroke

2009· letter· en· W1986138857 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

VenueStroke · 2009
Typeletter
Languageen
FieldImmunology and Microbiology
TopicMacrophage Migration Inhibitory Factor
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMacrophage migration inhibitory factorDownregulation and upregulationHypoxia (environmental)MedicineStroke (engine)Gene expressionHypoxia-inducible factorsPathogenesisImmunologyGeneInternal medicineCytokineBiologyChemistry

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: MIF has been implicated to function in many inflammatory processes. This study examined whether MIF expression was affected in stroke and its underlying molecular mechanism. METHODS: ELISA and qRT-PCR were used to detect MIF protein and mRNA in PBMCs from stroke patients, the ischemic rat brains, and controls. A MIF promoter assay under hypoxia was performed. RESULTS: MIF protein and mRNA were significantly increased in stroke patients. Increasing levels of MIF were correlated to the severity of stroke and peaked 24 hours after stroke. MIF was significantly upregulated in focal ischemic rat brains. The activity of the human MIF promoter was significantly increased under hypoxia compared to normoxia. CONCLUSIONS: MIF gene expression is upregulated after stroke, and hypoxia signaling plays an important role in upregulation of MIF expression under stroke.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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