Measurement temperature plays a pivotal role in the distribution of erythrocyte deformability after LPS
Bibliographic record
Abstract
Reductions in red blood cell membrane deformability (RBC(D)) may perturb microcirculatory blood flow and impair tissue O(2)-availability. We investigated the effect of assay temperature on the distribution of RBC(D) in endotoxin (LPS) incubated and control RBCs. Fresh blood from healthy rats was incubated with and without the presence of LPS for 6 hrs. An index of red blood cell membrane deformability, delta, was measured via the micropipette aspiration technique at 25 degrees C and 37 degrees C at 0, 2 and 6 hrs of incubation. The ATP content of RBC was measured by the luciferin-luciferase technique. At 25 degrees C, LPS caused a significant decrease in mean delta after 2 and 6 hours incubation compared to controls (-10.0%, p=0.03 and -24.0%, p=0.03, respectively) characterized by a left shift in the distribution (skewness: -1.4). However, at 37 degrees C a significant decrease in delta was only detected after 6 hrs of LPS incubation (-13.8%, p=0.01, compared to -5.1%, p=0.7 at 2 hours) and lacked the left shifted distribution (skewness: 0.2). No significant difference in ATP content of RBCs was observed between groups. We have shown that LPS incubation results in a significant decrease in RBC(D) and that room temperature measurement of physical membrane properties may exaggerate the differences between normal and perturbed RBCs.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".