A Mendelian randomization study of IL6 signaling in cardiovascular diseases, immune-related disorders and longevity
Bibliographic record
Abstract
Abstract Growing evidence suggests that inflammation is a significant contributor to different cardiovascular diseases (CVDs). Mendelian randomization (MR) was performed to assess the causal inference between plasma soluble IL6 receptor (sIL6R), a negative regulator of IL6 signaling, and different cardiovascular and immune-related disorders. Cis -MR with multiple instrumental variables showed an inverse association of sIL6R with rheumatoid arthritis, atrial fibrillation, stroke, coronary artery disease, and abdominal aortic aneurysm. However, genetically-determined sIL6R level was positively associated with atopic dermatitis and asthma. Also, sIL6R level was associated with longevity, as evaluated by parental age at death, a heritable trait. Gene-based association analysis with S-PrediXcan by using tissues from GTExV7 showed that IL6R tissue expression-disease pair associations were consistent with the directional effect of IL6 signaling identified in MR. Genetically-determined reduced IL6 signaling lowers the risk of multiple CVDs and is associated with increased longevity, but at the expense of higher atopic risk.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".