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Record W2461912104 · doi:10.1177/1040638716658499

Sinusoidal endothelial cell and hepatic stellate cell phenotype correlates with stage of fibrosis in chronic liver disease in dogs

2016· article· en· W2461912104 on OpenAlexaff
Andrew R Vince, M A Hayes, Barbara Jefferson

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2016
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHepatic stellate cellPhenotypeCellPathologyHepatic fibrosisStage (stratigraphy)Chronic liver diseaseChronic hepaticMedicineFibrosisLiver fibrosisDiseaseHepatic dysfunctionLiver diseaseLiver cellBiologyInternal medicineCirrhosisGene

Abstract

fetched live from OpenAlex

We evaluated the extent of hepatic fibrosis in chronic liver disease of dogs using a modification of Ishak's staging criteria for human chronic liver disease, and examined the association of stage of fibrosis with immunophenotypic markers of transdifferentiation of hepatic sinusoidal endothelial cells and hepatic stellate cells. Formalin-fixed, paraffin-embedded, hematoxylin and eosin-stained liver biopsy specimens from 45 case dogs with chronic liver disease and 55 healthy control dogs were scored for the presence and extent of fibrosis. This stage score for fibrosis strongly correlated with upregulated von Willebrand factor (vWF) expression in lobular sinusoidal endothelial cells (Spearman correlation coefficient [SCC] = 0.57, p < 0.05). Immunoreactivity for vWF factor was identified in 68.9% of case biopsies, varying in distribution from periportal to diffuse, whereas vWF immunoreactivity was identified in only 14.5% of control specimens, and was restricted to the immediate periportal sinusoids. The majority of both case and control biopsies exhibited similar prominent lobular perisinusoidal expression of alpha-smooth muscle actin (α-SMA). A minority of specimens (17.8% of case biopsies, 1.8% of control biopsies) exhibited low perisinoidal α-SMA expression, and there was a weak negative correlation between α-SMA expression and stage of fibrosis (SCC = -0.29, p = 0.0037). These results document a method for staging the severity of fibrosis in canine liver biopsies, and show a strong association between fibrosis and increased expression of vWF in hepatic sinusoidal endothelial cells.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.451

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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 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

Citations10
Published2016
Admission routes1
Has abstractyes

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