Bibliographic record
Abstract
PURPOSE OF REVIEW: Low-grade inflammation has been shown to play a role in cardiovascular disease and specifically in hypertension. Circulating and tissue leukocytes and macrophages are a component of the mechanisms leading to inflammatory responses. Subsets of T lymphocytes have been implicated in the pathogenesis of hypertension and vascular remodeling. This is an area of active research and rapid development in cardiovascular and renal disease which offers great therapeutic potential. RECENT FINDINGS: Recent data suggest that subsets of T lymphocytes, both effector T cells such as T-helper (Th)1 (interferon-gamma-producing) and Th2 lymphocytes [that produce interleukin (IL)-4], as well as Th17 (that produce IL-17), and T suppressor lymphocytes including regulatory T cells (Treg), which express the transcription factor forkhead box P3 (Foxp3), play critical roles in the development of angiotensin II, deoxycorticosterone salt-sensitive and Dahl salt-sensitive hypertension, and in the progression of vascular remodeling. As well, recent evidence suggests that the inflammatory response involving T lymphocytes may be triggered by oxidative stress in nuclei of the brain and associate with blood pressure elevation. SUMMARY: These new data implicating T lymphocytes will eventually allow discovery of new therapeutic targets that may improve outcomes in cardiovascular and renal disease in humans.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".