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Record W2968005171 · doi:10.1016/j.biopha.2019.109335

Evaluation of antiviral effect and toxicity of total flavonoids extracted from Robinia pseudoacacia cv. idaho

2019· article· en· W2968005171 on OpenAlexaff
Hao Guo, Xinhuan Wan, Fengju Niu, Jujie Sun, Chenxiao Shi, Jessica Meng Ye

Bibliographic record

VenueBiomedicine & Pharmacotherapy · 2019
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsToxicityRobiniaIn vivoPharmacologyTherapeutic indexAcute toxicityIn vitroTraditional medicineChemistryBiologyToxicologyDrugMedicineBotanyBiochemistryBiotechnology

Abstract

fetched live from OpenAlex

In this study, we aimed to evaluate the antiviral effect of total flavonoids extracted from Robinia pseudoacacia cv. idaho (RPTF) in vivo and its toxicity on rats with oral gavage. RPTF was prepared by percolation with 70% ethanol for 24 h and its antiviral effect on different kinds of viruses was evaluated in vitro by MTT staining. The long-term toxicity of RPTF on rats was evaluated through the detection of general behavior, body weight, food intake and related organ tissue sections of experimental animals. We found that RPTF produced significantly inhibitory effects on HSV-1 and EV-71 viruses with the therapeutic index TI values 113.8 and 46.2, respectively. Moreover, toxicity evaluation in vivo showed no significantly adverse effects in rats, indicating that RPTF was safe in use. In conclusion, we demonstrated that RPTF, natural compounds in the Chinese traditional medicine, could act as promising and effective antiviral therapeutics with relative safety in use.

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 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 score0.074
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.322
Teacher spread0.308 · 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

Citations24
Published2019
Admission routes1
Has abstractyes

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