Regulating Viral Myocarditis: Allografted Regulatory T Cells Decrease Immune Infiltration and Viral Load
Bibliographic record
Abstract
4][5][6] Many other viruses have since been shown to cause myocarditis and its long-term sequelae, arrhythmias, dilated cardiomyopathy, and heart failure.By example, adenovirus, herpesviruses, and influenza can cause myocarditis in humans and models of heart failure.Because immune cell infiltration is an easily seen feature of myocarditis, it is perhaps not surprising that the inflammatory response would be posited as a major cause of tissue injury during viral myocarditis.However, the virus itself has lytic and destructive potential, and a range of data indicate both viral and immune contributions to cardiomyocyte and interstitial damage during myocarditis.The question is often posed: Is damage primarily virus-mediated or more so the product of an overzealous immune response and autoimmunity?Perhaps the greatest error in the discussion has been approaching these 2 facets of the disease process in a mutually exclusive manner.Shi et al 7 now show in this issue of Circulation that virus replication and the immune response are exquisitely intertwined in myocarditis pathogenesis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".