Hemodynamic responses to a hemoglobin bis‐tetramer and its polyethylene glycol conjugate
Bibliographic record
Abstract
BACKGROUND: The design of hemoglobin-based oxygen carriers (HBOCs) poses a significant challenge as clinical trials of many materials have reported adverse side effects that may come from the scavenging of the vasodilator nitric oxide (NO). A compensating reaction, reduction of endogenous nitrite by hemoglobin (Hb) and its derivatives, generates NO. Polyethylene glycol (PEG) conjugation of Hb enhances the rate of the reaction. STUDY DESIGN AND METHODS: Hemoglobin bis-tetramers (BT) and their PEGylated derivative (BT-PEG) bind oxygen with a degree of cooperativity and also have significantly enhanced nitrite reductase activity compared to the native protein. Circulatory evaluation will test if the properties of BT and BT-PEG are reflected in their effects in vivo. BT and BT-PEG were evaluated as infusions into healthy wild-type (WT) and diabetic (db/db) mouse models. The effects were compared to infusions of murine Hb. RESULTS: The materials were found not to cause significant increases in systemic blood pressure in either WT mice or db/db mice. The latter are highly sensitive to NO scavenging. Further hemodynamic measurements in WT mice indicate that while a slight increase in systemic vascular resistance (SVR) was observed after infusion of BT, the extent is not significant. No change in SVR from baseline was observed after infusion of BT-PEG. CONCLUSION: The enlarged Hb derivatives do not evoke unfavorable circulatory responses that have been noted to result from infusion of Hb derivatives. These results suggest that a compromise between the P(50) , n(50) , and nitrite reductase activity of a Hb derivative can serve as the basis for producing HBOCs that can be tested for vasoactivity.
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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 | 0.000 |
| 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".