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Record W2077821705 · doi:10.1002/hep.510310204

Progressive development of a Th1-type hepatic cytokine profile in rats with experimental cholangitis

2000· article· en· W2077821705 on OpenAlexaff
Kartika Tjandra, Keith A. Sharkey, Mark G. Swain

Bibliographic record

VenueHepatology · 2000
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineInternal medicineCytokineGastroenterology

Abstract

fetched live from OpenAlex

Primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC) are presumed autoimmune chronic cholestatic liver diseases characterized by cholangitis and progressive loss of bile ducts. Cytokines have been postulated to be involved in the progression of these diseases, but their role is poorly defined. Our objectives were to characterize a rat model of cholangitis and to determine Type 1/Type 2 (Th1/Th2) cytokine profile shifts in this model. Cholangitis was induced in Sprague-Dawley rats (200 to 225 g) by low-dose oral administration of the biliary toxin alpha-naphthylisothiocyanate (ANIT) (1 g/kg powdered rat chow ad libitum) for 4, 7, and 14 days. Cholestasis was observed in ANIT-treated animals. Liver histology of ANIT-treated rats showed hepatic inflammation centered on damaged bile ducts, significant bile duct proliferation, and progressive fibrosis. Immunohistochemistry showed enhanced staining of hepatic major histocompatibility complex (MHC) II, CD4, and CD8 in portal areas of ANIT-treated animals. In addition, the hepatic cytokine profile became increasingly Th1 in nature with progressive ANIT treatment. In summary, experimental cholangitis biochemically and histologically mimics human chronic cholangitis and furthermore, is associated with a progressive shift to a more Th1-dominant hepatic cytokine profile. Therefore, this model may be useful for examining the role of cytokines in the progression of chronic cholangitic diseases.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.998

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)0.0030.000

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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

Citations78
Published2000
Admission routes1
Has abstractyes

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