The Double Role of Epicardial Adipose Tissue as Pro- and Anti-inflammatory Organ
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
Obesity is associated with low grade inflammation. Whether this is just an adaptive response to excess adiposity to maintain a normal oxygen supply or a chronic activation of the innate immune system is still unknown. Recent research has focused on the origin of the inflammatory markers in obesity and the extent to which adipose tissue has a direct effect. The production of adipokines by visceral adipose tissue is of particular interest since their local secretion by visceral fat depots may provide a novel mechanistic link between obesity and the associated vascular complications. Growing evidences suggest that the epicardial adipose tissue, the visceral fat depot located around the heart, may locally interact with myocardium and coronary arteries. Epicardial fat is a source of adiponectin and adrenomedullin, adipokines with anti-inflammatory properties, and several proinflammatory cytokines as well as Tumor Necrosis Factor-alpha (TNF-alpha), Interleukin 1 (IL1), IL-1 h, Interleukin (IL6), Monocyte Chemoattractive Protein-1 (MCP-1), Nerve Growth Factor (NGF), resistin, Plasminogen Activator Inhibitor-1 (PAI-1), and free fatty acids. Epicardial adipose tissue could locally modulate the heart and vasculature, through paracrine secretion of pro- and anti-inflammatory cytokines, thereby playing a possible role in the adiposity-related inflammation and atherosclerosis. On the other hand, epicardial fat could exert a protective effect through adiponectin and adrenomedullin secretion as response to local or systemic metabolic or mechanical insults. Future studies will continue to provide new and fascinating insights into the double role of epicardial adipose tissue in the development of cardiovascular pathology and/or in protecting the heart and arteries.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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