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Record W4394399970 · doi:10.6084/m9.figshare.21516270

Salidroside induced repair of myocardial infarction through Nrf2/HO-1

2022· dataset· en· W4394399970 on OpenAlexaff
Yanbo Fan, Wei Wang, Liqun Tian, Jie Yin

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMedicinal Plants and Bioactive Compounds
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsSalidrosideMyocardial infarctionCardiologyInternal medicineMedicineChemistryPharmacology

Abstract

fetched live from OpenAlex

Abstract Salidroside (SAL) has been confirmed to have some protective effects against inflammatory injury. However, little information was established as to the mechanism of these protective effects. To this effect, we designed this study to explore the protective effects and mechanisms of SAL against myocardial infarction (MI). A rat MI model was established and divided into five groups (n = 6): sham, MI, MI+SAL, MI+ LY294002 (PI3K inhibitor), and MI+SAL+ LY294002. The cardiac function and histological pathology were analyzed with a color Doppler ultrasonic diagnostic instrument. Anti-oxidative enzyme activities and the production of inflammatory media were assayed by biochemical kits and ELISA. MI size and fibrosis were assayed by Masson’s trichrome staining while Bax/Bcl-2 and PI3K/Akt/Nrf2/HO-1 were assayed by Western blotting and immunofluorescence. The results showed that SAL significantly improved the left ventricle ejection fraction and fractional shortening, decreased the MI size and fibrosis, inhibited apoptosis and promoted blood vessel formation. SAL promoted anti-oxidative and anti-inflammatory abilities. Moreover, SAL enhanced PI3K/ Akt/Nrf2/HO-1 expression. To this effect, we designed this study suggested that SAL induced repair of MI via PI3K/A kt/ Nrf2/HO-1.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0280.010

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 head0.041
GPT teacher head0.293
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2022
Admission routes1
Has abstractyes

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