Effects of ischemia on intracellular rubidium in pig and rat hearts:87Rb NMR imaging and spectroscopic study
Bibliographic record
Abstract
87Rb MR imaging and spectroscopy were used to study the effects of ischemia on the properties of K(+) in cardiac tissue. Isolated pig and rat hearts perfused by the Langendorff method with Krebs-Henseleit buffer were preloaded with Rb(+). Ischemia (Isc) was induced by 120-min occlusion of the left anterior descending artery in the pig hearts or by stopping perfusion for 33 min in the rat hearts. Serial (87)Rb MR images or spectra from the anterior (An) LV wall of pig hearts were acquired continuously. The intensities of the Rb images of the An and posterior (Pos) walls were similar and stable during the first 45 min of ischemia. The intensity of signal from the An wall (Isc) then gradually increased by 60 +/- 8% relative to the preischemic value (vs. 31 +/- 5% increase in Pos wall) and necrosis (19 +/- 5% of the LV wall mass) developed upon reperfusion. The Rb(+) content was lower in the ischemic (An) than in the normal (Pos) area (22.3 +/- 3 vs. 28.4 +/- 1.3 mmol/g wet wt). A similar pattern was observed in the peak heights of (87)Rb spectra from the An wall, which increased by 40 +/- 16% (vs. 21 +/- 11% in control) due to a 12% decrease in the apparent Rb linewidth (LW) and a 24 +/- 14% increase in the peak area. The Rb peak comprised narrow (297 +/- 21 Hz) and broad (1098 +/- 40 Hz, 59 +/- 3% of total area) Lorentzian components. The LW of the broad component decreased by 14%, while the narrow component did not change markedly. In the rat hearts ischemia caused a 33 +/- 4% increase in the (87)Rb peak height as a result of peak narrowing (13 +/- 1%), and an increase in peak area (17 +/- 5%). The decreases in LW and increases in Rb(+) visibility can be explained by an increase in Rb(+) mobility caused by displacement of Rb(+) from anionic binding sites by H(+) (ischemic acidosis) and changes in intracellular compartmentalization of Rb(+). Magn Reson Med 44:193-200, 2000.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".