MétaCan
Menu
Back to cohort
Record W3035713164 · doi:10.1039/c9ra09058d

Flaxseed orbitides, linusorbs, inhibit LPS-induced THP-1 macrophage inflammation

2020· article· en· W3035713164 on OpenAlexafffund
Xian‐Guo Zou, Youn Young Shim, Jae Youl Cho, Deok Jeong, Jian Yang, Zeyuan Deng, Martin J. T. Reaney

Bibliographic record

VenueRSC Advances · 2020
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsGenome PrairieSaskatoon Medical ImagingUniversity of Saskatchewan
FundersMinistry of Science and ICT, South KoreaChina Scholarship CouncilNational Research Foundation of KoreaNational Research FoundationMinistry of Agriculture - Saskatchewan
KeywordsLipopolysaccharideTHP1 cell lineChemistryInflammationDownregulation and upregulationNF-κBMacrophageMechanism of actionSignal transductionTumor necrosis factor alphaPharmacologyIn vitroBiochemistryCell cultureImmunologyBiologyGene

Abstract

fetched live from OpenAlex

Linusorbs (flaxseed orbitides) are a family of naturally-occurring cyclic peptides. Previously, we reported that their anticancer effects were associated with their structures. In this study, we investigated the anti-inflammatory activities of 2 different linusorbs ([1-9-NαC]-linusorb B2 and [1-9-NαC]-linusorb B3) in lipopolysaccharide (LPS)-induced THP-1 macrophage activation as well as the underlying mechanism of this inflammatory response. Both molecules suppressed pro-inflammatory mediators (TNF-α, IL-1β, IL-6, NO and COX-2) and were involved in downregulating the NF-κB signaling pathway. The suppressive effects on pro-inflammatory mediators were comparable and the concentration range of action was similar (1-4 μM). However, the concentration of compound that induced downregulation of the NF-κB pathway was different for each compound. While [1-9-NαC]-linusorb B3 could inhibit the activation of the NF-κB pathway at concentrations of 1 and 2 μM, [1-9-NαC]-linusorb B2 induced a comparable inhibitory effect at a concentration of 4 μM.

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 score0.089
Threshold uncertainty score0.540

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 head0.027
GPT teacher head0.314
Teacher spread0.286 · 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

Citations29
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueRSC AdvancesSame topicPhytoestrogen effects and researchFrench-language works237,207