BACTERIAL DNA AND RNA INDUCE RAT CARDIAC MYOCYTE CONTRACTION DEPRESSION IN VITRO
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sepsis and septic shock, the systemic immunologic and pathophysiologic response to overwhelming infection, are associated with perturbation of a variety of metabolic cell pathways and with multiple organ failure (MOF) including cardiac depression. This depression has been attributed to the effect of several circulating and locally produced proinflammatory mediators. Recent data suggest that bacterial nucleic acids can produce profound systemic inflammatory responses characterized by circulatory shock in intact animals. In this study, bacterial DNA and RNA derived from pathogenic clinical S. aureus and E. coli isolates are shown to induce early concentration-dependent depression of maximum extent and peak velocity of contraction of electrically paced neonatal rat ventricular myocytes in culture. Significant but more modest depression was generated by a nonpathogenic E. coli isolate. Pretreatment with a DNase or RNase abrogated this effect. Further, synthetic, double-stranded RNA (dsRNA) also induced concentration-dependent depression of myocyte contraction, with the effect also being prevented by pretreatment with RNase. These data suggest that bacterial DNA and RNA may contribute to myocardial depression during bacterial sepsis and septic shock.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it