C3a desArg/Acylation stimulating protein (ASP) and C5L2 correlation with expression of inflammatory factors and metabolic factors in human adipose tissue (94.25)
Bibliographic record
Abstract
Abstract C5L2 is a recently identified receptor for C5a and C3a/C3adesArg (ASP). C5a/C5adesArg binds C5L2 with high affinity but no functional activation. By contrast, C5L2 is a functional receptor for ASP and in adipocytes plays a role in lipid metabolism. In this study, we used adipose tissue microarray analysis to explore the overlap between metabolism and immunology. Subcutaneous (SC AT) and omental (OM AT) adipose tissue were collected from 14 subjects (normal + obese) and divided into two groups based on plasma ASP level (assayed by ELISA): high ASP group (↑ASP) (ASP>40nM) and low ASP group (↓ASP ) (ASP<40 nM). C5L2 (p=0.06), C5aR (p=0.03), IL-6 (p=0.01), and IL-6R (p=0.03) expression were increased significantly in ↑ ASP vs. ↓ASP in OM AT, with no change in SC AT. Plasma ASP correlated with lipid metabolic factors GPAT-1, FABP1, FABP5, FABP7 and adipophilin, and inflammatory factors CRP, C5aR and IL-6R in OM AT. ASP was mainly correlated with lipid metabolic factors, such as LPL, CD36, FABP3, and FABP6 in SC AT. ASP-C5L2 may play a role in mediating metabolic- immune interactions in adipose tissue. Funding: CIHR
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 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".