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P150 The Triptryium wilfordii derivative celastrol has anti-fibrotic effects in systemic sclerosis

2023· article· en· W4366831730 on OpenAlexaffabout
Andrew Leask, Richard Stratton, Shiwen Xu, Pratyusha Chitturi

Bibliographic record

VenueLara D. Veeken · 2023
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCelastrolMedicineFibrosisMyofibroblastPathologyWestern blotCTGFCancer researchImmunologyInternal medicineBiologyGrowth factorApoptosisReceptor

Abstract

fetched live from OpenAlex

Abstract Background/Aims Scleroderma (systemic sclerosis, SSc) is an autoimmune inflammatory-fibrosis syndrome that damages the skin and internal organs and is considered a prototypic complex fibrotic disease. In SSc, persistently activated myofibroblasts are maintained by an excessive, autocrine mechanotranductive/pro-adhesive signaling loop. Drugs targeting this pathway are therefore of likely therapeutic benefit in SSc. The mechanosensitive transcriptional co-activator, yes activated protein-1 (YAP1), is activated in SSc fibroblasts. The terpenoid plant-derivative celastrol has recently been identified as a YAP inhibitor; however, if celastrol can alleviate SSc fibrosis, and its underlying mechanism of action, is as yet unclear. Methods We cultured age-, sex-, and site-matched human dermal fibroblasts sampled from healthy individuals and patients with early onset (<18 month after first diagnosis) diffuse cutaneous scleroderma (systemic sclerosis, dcSSc) and treated with or without transforming growth factor β1 (TGFβ1, 4ng/ml) in the presence or absence of celastrol (500nM). We also subjected C57BL6J mice to the inflammatory-driven bleomycin-induced model of skin SSc, in the presence or absence of celastrol (28days, every day, 0.1U bleomycin, 1mg/kg celastrol). RNA expression was assessed using RNAseq and real-time polymerase chain reaction analysis. Protein expression was determined using Western blot and enzyme-linked immunosorbent assay. Fibrosis was monitored by hematoxylin and eosin and trichrome staining of tissue sections, and by using indirect immunofluorescence analysis with anti-alpha-smooth muscle actin (SMA) antibodies to detect myofibroblasts. Results In dermal fibroblasts, celastrol impaired the ability of TGFβ1 to induce an SSc-like pattern of gene expression, including the induction of cellular communication network factor 2 (CCN2), collagen I and TGFβ1 protein (N = 6, all p < 0.01). Celastrol also alleviated the persistent fibrotic phenotype of dermal fibroblasts cultured from lesions of SSc patients, including the overproduction of CCN2 and collagen (N = 3, p < 0.05). Finally, in the bleomycin-induced model of SSc dermatopathology, celastrol inhibited skin thickness/collagen deposition in vivo and blocked nuclear localization of YAP in SMA-positive myofibroblasts (all N = 6, p < 0.01). Conclusion Our data are consistent with the hypothesis that compounds, such as celastrol, that antagonize the YAP pathway warrant further consideration as potential treatments for SSc skin fibrosis. Disclosure A. Leask: Grants/research support; CIHR, NSERC, Arthritis Society of Canada. R.J. Stratton: None. S. Xu: None. P. Chitturi: None.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.032
GPT teacher head0.248
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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