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Record W2152098567 · doi:10.1093/rheumatology/kep371

Rosiglitazone alleviates the persistent fibrotic phenotype of lesional skin scleroderma fibroblasts

2009· article· en· W2152098567 on OpenAlexafffund
Shiwen Xu, Mark Eastwood, Richard Stratton, C.P. Denton, Andrew Leask, David Abraham

Bibliographic record

VenueLara D. Veeken · 2009
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsCanadian Institutes of Health ResearchWestern University
FundersCanadian Institutes of Health Research
KeywordsRosiglitazonePeroxisome proliferator-activated receptorMedicineAgonistWestern blotFibrosisPhenotypePPAR agonistScleroderma (fungus)EndocrinologyInternal medicineReceptorFibroblastPathologyBiologyCell cultureGene

Abstract

fetched live from OpenAlex

OBJECTIVE: The transcription factor peroxisome proliferator-activated receptor (PPAR)-gamma plays an important role in controlling cell differentiation. The aim of the present study was to examine whether PPAR-gamma expression was reduced in skin scleroderma fibroblasts and whether PPAR-gamma agonists could suppress the persistent fibrotic phenotype of skin scleroderma fibroblasts. METHODS: Dermal fibroblasts were isolated from site-, age- and sex-matched healthy individuals and lesional areas of individuals with dcSSc. Western blot and collagen gel contraction analyses were used to detect protein expression in the presence or absence of the PPAR-gamma agonist rosiglitazone. RESULTS: PPAR-gamma expression was reduced in dcSSc fibroblasts. The PPAR-gamma agonist rosiglitazone alleviated the persistent fibrotic phenotype of dcSSc fibroblasts. CONCLUSION: Rosiglitazone may alleviate the extent of fibrosis in dcSSc.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.440

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 head0.021
GPT teacher head0.245
Teacher spread0.224 · 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

Citations59
Published2009
Admission routes2
Has abstractyes

Explore more

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