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Record W2030102084 · doi:10.1002/art.24801

Loss of β1 integrin in mouse fibroblasts results in resistance to skin scleroderma in a mouse model

2009· article· en· W2030102084 on OpenAlexaff
Shangxi Liu, Mohit Kapoor, Christopher P. Denton, David Abraham, Andrew Leask

Bibliographic record

VenueArthritis & Rheumatism · 2009
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsIntegrinBleomycinFibroblastScleroderma (fungus)ScarsFibrosisCollagen receptorMedicineMyofibroblastCollagen, type I, alpha 1Extracellular matrixImmunologyCancer researchChemistryPathologyReceptorBiologyCell biologyInternal medicineIn vitroBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: Activated adhesive signaling is a hallmark of fibroblasts isolated from the scars of scleroderma (systemic sclerosis) lesions. Beta-1 integrin plays a key role in adhesive signaling. The aim of the present study was to examine the role of beta1 integrin in a mouse model of skin scleroderma using mice bearing a fibroblast-specific deletion of beta1 integrin. METHODS: Cutaneous sclerosis was induced by subcutaneous injection of bleomycin. Control groups were treated with phosphate buffered saline. Mice bearing a fibroblast-specific deletion of beta1 integrin and control mice were investigated. Dermal thickness, collagen production, and the number of alpha-smooth muscle actin-positive cells were determined. The quantity of the collagen-specific amino acid hydroxyproline was also measured. RESULTS: Bleomycin treatment induced marked cutaneous thickening and fibrosis in control mice. Conversely, the deletion of beta1 integrin resulted in resistance to bleomycin-induced fibrosis. CONCLUSION: Expression of beta1 integrin by fibroblasts is required for fibrogenesis. Inhibition of beta1 integrin may be a viable method to alleviate the development of cutaneous sclerosis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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

Citations90
Published2009
Admission routes1
Has abstractyes

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