Increasing P<sub>50</sub>does not improve D<scp>o</scp><sub>2<scp>crit</scp></sub>or systemicV˙<scp>o</scp><sub>2</sub>in severe anemia
Bibliographic record
Abstract
Reducing the hemolobin (Hb)-O(2) binding affinity facilitates O(2) unloading from Hb, potentially increasing tissue mitochondrial O(2) availability. We hypothesized that a reduction of Hb-O(2) affinity would increase O(2) extraction when tissues are O(2) supply dependent, reducing the threshold of critical O(2) delivery (DO(2 CRIT)). We investigated the effects of increased O(2) tension at which Hb is 50% saturated (P(50)) on systemic O(2) uptake (VO(2) (SYS)), DO(2 CRIT), lactate production, and acid-base balance during isovolemic hemodilution in conscious rats. After infusion of RSR13, an allosteric modifier of Hb, P(50) increased from 36.6 +/- 0.3 to 48.3 +/- 0.6 but remained unchanged at 35.4 +/- 0.8 mmHg after saline (control, CON). Arterial O(2) saturations were equivalent between RSR13 and saline groups, but venous PO(2) was higher and venous O(2) saturation was lower after RSR13. Convective O(2) delivery progressively declined during hemodilution reaching the DO(2 CRIT) at 3.4 +/- 0.8 ml x min(-1) x 100 g(-1) (CON) and 3.6 +/- 0.6 ml x min(-1) x 100 g(-1) (RSR13). At Hb of 8.1 g/l VO(2) (SYS) started to decrease (CON: 1.9 +/- 0.1; RSR13: 1.8 +/- 0.2 ml x min(-1) x 100 g(-1)) and fell to 0.8 +/- 0.2 (CON) and 0.7 +/- 0.2 ml x min(-1). 100 g(-1) (RSR13). Arterial lactate was lower in RSR13-treated than in control animals when animals were O(2) supply dependent. The decrease in base excess, arterial pH, and bicarbonate during O(2) supply dependence was significantly less after RSR13 than after saline. These findings demonstrate that during O(2) supply dependence caused by severe anemia, reducing Hb-O(2) binding affinity does not affect VO(2) (SYS) or DO(2 CRIT) but appears to have beneficial effects on oxidative metabolism and acid base balance.
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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 | 0.000 |
| 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".