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Record W2811104940 · doi:10.1139/bcb-2017-0302

Quercetin ameliorates pulmonary fibrosis by inhibiting SphK1/S1P signaling

2018· article· en· W2811104940 on OpenAlexvenueno aff
Xingcai Zhang, Yuli Cai, Wei Zhang, Xianhai Chen

Bibliographic record

VenueBiochemistry and Cell Biology · 2018
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsnot available
Fundersnot available
KeywordsSphingosine kinase 1Pulmonary fibrosisSphingosineFibroblastBleomycinFibrosisSphingosine-1-phosphateHydroxyprolineIdiopathic pulmonary fibrosisQuercetinPharmacologyBiologyCancer researchMedicineEndocrinologyInternal medicineLungBiochemistryIn vitroReceptor

Abstract

fetched live from OpenAlex

Idiopathic pulmonary fibrosis is an agnogenic chronic disorder with high morbidity and low survival rate. Quercetin is a flavonoid found in a variety of herbs with anti-fibrosis function. In this study, bleomycin was employed to induce a pulmonary fibrosis mouse model. The quercetin administration ameliorated bleomycin-induced pulmonary fibrosis, evidenced by the expression level changes of hydroxyproline, fibronectin, α-smooth muscle actin, Collagen I, and Collagen III. Similar results were observed in transforming growth factor (TGF)-β-treated human embryonic lung fibroblast (HELF). The bleomycin or TGF-β administration caused the increase of sphingosine-1-phosphate (S1P) level in pulmonary tissue and HELF cells, as well as its activation-required kinase, sphingosine kinase 1 (SphK1), and its degradation enzyme, sphinogosine-1-phosphate lyase (S1PL). However, the increase of S1P, SphK1, and S1PL was attenuated by application of quercetin. In addition, the effect of quercetin on fibrosis was abolished by the ectopic expression of SphK1. The colocalization of SphK1/S1PL and fibroblast specific protein 1 (FSP1) suggested the roles of fibroblasts in pulmonary fibrosis. In summary, we demonstrated that quercetin ameliorated pulmonary fibrosis in vivo and in vitro by inhibiting SphK1/S1P signaling.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.727

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 head0.007
GPT teacher head0.234
Teacher spread0.228 · 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 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".

Quick stats

Citations73
Published2018
Admission routes1
Has abstractyes

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