MétaCan
Menu
Back to cohort
Record W2808600638 · doi:10.1039/c8tb00672e

Bergenin loaded gum xanthan stabilized silver nanoparticles suppress synovial inflammation through modulation of the immune response and oxidative stress in adjuvant induced arthritic rats

2018· article· en· W2808600638 on OpenAlexaff
Komal Rao, Talat Roome, Sabahat Aziz, Anam Razzak, Ghulam Abbas, Muhammad Imran, Tooba Jabri, Jasra Gul, Munawar Hussain, Bushra Sikandar, Shaheen Sharafat, Muhammad Raza Shah

Bibliographic record

VenueJournal of Materials Chemistry B · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPhytochemistry and Bioactivity Studies
Canadian institutionsDow Chemical (Canada)
Fundersnot available
KeywordsBergeninOxidative stressAdjuvantImmune systemXanthan gumInflammationGlycosideNanocrystalChemistryMaterials sciencePharmacologyTraditional medicineMedicineBiochemistryNanotechnologyImmunologyStereochemistryComposite material

Abstract

fetched live from OpenAlex

in human neutrophils, stimulated by opsonized zymosan (OZ) and phorbol-12-myristate-13-acetate (PMA) was also suppressed. BG and its loaded NPs were revealed to antagonize the oxidative stress via interference with the NADPH oxidase metabolic pathway. Their anti-oxidant activity was further assessed by their inhibitory effect against TLR (TRL-2 & -4) and cytokine (IL-1β, IL-6 and TNF-α) production. The current investigation validates GX stabilized AgNPs as stable and promising multi-targeted therapeutic nano-cargo for BG delivery with efficient treatment of RA.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.061
GPT teacher head0.364
Teacher spread0.303 · 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".

Quick stats

Citations59
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Materials Chemistry BSame topicPhytochemistry and Bioactivity StudiesFrench-language works237,207