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Record W4417458411 · doi:10.1152/function.087.2025

Molecular mechanisms of acute inflammation: systemic responses and kidney-specific pathophysiology

2025· article· en· W4417458411 on OpenAlexafffund
Forough Chelangarimiyandoab, Jean-Philippe C. Lavoie, Nicolas Flamand, Emmanuelle Cordat, Sylvie Breton

Bibliographic record

VenueFunction · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité LavalCanadian Institutes of Health ResearchCentre hospitalier universitaire de QuébecUniversity of Alberta
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsImmune systemInflammationPathophysiologyAcute kidney injuryInflammatory responseKidneyOrgan systemSignal transduction

Abstract

fetched live from OpenAlex

Inflammation is a critical immune response to tissue injury or infection, involving a cascade of molecular and cellular events. This review examines acute inflammation, focusing on the key receptors, signaling pathways, mediators, and cellular players involved in the response throughout the body. The latter part of the review narrows its focus to kidney inflammation, a vital organ often affected by both sterile and nonsterile insults. By exploring the roles of immune and nonimmune cells, this review highlights general inflammatory mechanisms and their impact on kidney-specific pathophysiology.

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 score0.120
Threshold uncertainty score0.325

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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