Splenic blood-flow response following myocardial infarction in rat
Bibliographic record
Abstract
During physiological stress (e.g., exercise, hypoxia), blood flow is shunted to specific anatomical regions to protect critical organs; yet, splenic blood flow in these circumstances remains to be investigated. Despite being classically viewed as a non-critical organ, recent experimental and epidemiological evidence suggests the spleen plays a significant role in cardiovascular pathophysiology. We hypothesized that splenic blood flow is prioritized in the development of heart failure (i.e., chronic state of reduced cardiac output). Five-week-old male Wistar rats were randomized for either myocardial infarction (MI; n = 58) or sham (n = 56) surgery. At 2, 5, and 9 weeks post-surgery, Doppler ultrasound measurements of the splenic, left renal, left common carotid, and left femoral arteries were performed. Cardiac function was assessed at all time points using echocardiography and at 9 weeks post-surgery using invasive hemodynamic analysis. Splenic and cerebral blood flow was preferentially maintained at 9 weeks post-MI, whereas blood flow to the lower limb and kidney were reduced. Spleen size increased by 5 weeks post-MI and remained elevated. Splenic blood flow was maintained in conditions of decreased cardiac output, when other tissues showed decreased blood flow. The maintenance of blood flow in the face of decreased cardiac output indicates that splenic function is being prioritized during heart failure.
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.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".