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Record W2903429926 · doi:10.3390/ijms19123873

Chlorogenic Acid (CGA) Isomers Alleviate Interleukin 8 (IL-8) Production in Caco-2 Cells by Decreasing Phosphorylation of p38 and Increasing Cell Integrity

2018· article· en· W2903429926 on OpenAlexafffund
Ningjian Liang, David D. Kitts

Bibliographic record

VenueInternational Journal of Molecular Sciences · 2018
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsCaco-2Phosphorylationp38 mitogen-activated protein kinasesChemistryChlorogenic acidFood scienceBiochemistryCell biologyCellBiologyProtein kinase A

Abstract

fetched live from OpenAlex

The objective of this study was to determine the effect of six chlorogenic acid (CGA) isomers known to be present in coffee and other plant foods on modulating the inflammatory response induced by pro-inflammatory cytokines in the Caco-2 human intestinal epithelial cell line. Compared to caffeoylquinic acids (CQA), dicaffeoylquinic acids (DiCQA) had significantly stronger (p < 0.05) capacities to reduce phosphorylation of one of mitogen-activated protein kinases (MAPK) cascades, namely p38. Compared to the control, CQA isomers treatment resulted in around 50% reduction in an interleukin-8 (IL-8) secretion, whereas DiCQA, at the same concentration, resulted in a 90% reduction in IL-8 secretion, compared to the control cells. CGA isomer treatment also showed a significant effect (p < 0.05) on the up-regulation of NFκB subunit p65 nuclear translocation by more than 1.5 times, compared to the control. We concluded that CGA isomers exert anti-inflammatory activity in a mixture of interferon gamma (IFNγ) and phorbol myristate acetate (PMA)-challenged Caco-2 cells, by decreasing the phosphorylation of p38 cascade and up-regulating NFκB 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)0.001
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 score0.005
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.292
Teacher spread0.274 · 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

Citations32
Published2018
Admission routes2
Has abstractyes

Explore more

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