Design of Long Circulating Nontoxic Dendritic Polymers for the Removal of Iron <i>in Vivo</i>
Bibliographic record
Abstract
Patients requiring chronic red blood cell (RBC) transfusions for inherited or acquired anemias are at risk of developing transfusional iron overload, which may impact negatively on organ function and survival. Current iron chelators are suboptimal due to the inconvenient mode of administration and/or side effects. Herein, we report a strategy to engineer low molecular weight iron chelators with long circulation lifetime for the removal of excess iron in vivo using a multifunctional dendritic nanopolymer scaffold. Desferoxamine (DFO) was conjugated to hyperbranched polyglycerol (HPG) and the plasma half-life (t1/2) in mice is defined by the structural features of the scaffold. There was a 484 fold increase in t1/2 between the DFO (5 min) versus the HPG-DFO (44 h). In an iron overloaded mouse model, efficient iron excretion by HPG-DFO in the urine and feces was demonstrated (p = 0.0002 and 0.003, respectively) as was a reduction in liver, heart, kidney, and pancreas iron content, and plasma ferritin level (p = 0.003, 0.001, 0.001, 0.001, and 0.003, respectively) compared to DFO. Conjugates showed no apparent toxicity in several analyses including body weight, serum lactate dehydrogenase level, necropsy analysis, and by histopathological examination of organs. These findings were supported by in vitro biocompatibility analyses, including blood coagulation, platelet activation, complement activation, red blood cell aggregation, hemolysis, and cell viability. This nanopolymer-based chelating system would potentially benefit patients suffering from transfusional iron overload.
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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) | 0.000 | 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".