Procyanidins and inflammation: Molecular targets and health implications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The inflammatory response has been implicated in the pathogenesis of many chronic diseases. Thus, the modulation of the inflammatory response by the consumption of bioactive food compounds, such as procyanidins, is a powerful tool to promote health. Procyanidin-mediated anti-inflammatory molecular mechanisms include, among others, the modulation of the arachidonic acid pathway, the inhibition of the gene transcription, protein expression and enzymatic activity of eicosanoid generating enzymes, the production and secretion of inflammatory mediators (such as cytokines and nitric oxide), the inhibition of mitogen-activated protein kinase (MAPK) pathway activation, and the modulation of the nuclear factor-κB (NF-κB) pathway. The NF-κB pathway can be regulated by procyanidins at several levels. During early events in NF-κB signaling, procyanidins modulate Iκκ activity, and the cytoplasmic retention of p65:p50 NF-κB by the inhibition of IκB phosphorylation and proteasomal degradation, while at late stages, they affect the nuclear translocation of pro/anti-inflammatory NF-κB homo/hetero dimers and their subsequent binding to the promoter regions of target genes. To identify and understand the value of procyanidins in the modulation of the inflammatory response, the molecular mechanisms underlying the anti-inflammatory activities and prohomeostatic effects of procyanidins need to be investigated further.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it