Regulation of inflammation‐related genes in human adipose tissue
Bibliographic record
Abstract
The identification of a moderate increase in circulating inflammatory factors in obese subjects, the description of changes in inflammatory gene expression in adipose tissue (AT) and the discovery that macrophage cells infiltrate AT are observations contributing to the concept that human obesity is a chronic inflammatory illness. This concept has led to some revision of the physiopathology of obesity and of its related metabolic and cardiovascular co-morbidities. Low-grade inflammation in the AT and the subsequent production of specific biomarkers could actually link expanded fat mass to obesity complications. This review aims at providing an overview of the current knowledge brought up by human gene expression studies, notably those performed on a large scale in AT depots. The regulation of specific biomarkers related to inflammation and putative new candidates (i.e. cathepsins and serum amyloid A) is discussed in the context of weight loss programmes based on calorie restriction and physical exercise. The foreseen clinical and technological challenges are also summarized.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".