C3, C5, and factor B bind to chitosan without complement activation
Bibliographic record
Abstract
Chitosan is a polycationic and biocompatible polysaccharide composed of glucosamine and N-acetyl glucosamine that is chemotactic for neutrophils and stimulates wound repair through mechanisms that remain unclear. It was previously shown that chitosan depletes complement proteins from plasma, suggesting that chitosan activates complement. Complement activation leads to cleavage of C5 to produce C5a, a neutrophil chemotactic factor. Here, we tested the hypothesis that chitosan generates C5a in human whole blood, citrated plasma, and serum. C5a fragment appeared in coagulating whole blood, and mixtures of chitosan-glycerol phosphate/whole blood, in parallel with platelet and thrombin activation. However, in plasma and serum, thrombin and chitosan-GP failed to generate C5a, although native C3, C5, and factor B adsorbed noncovalently to insoluble chitosan particles incubated in citrated plasma, serum, EDTA-serum and methylamine-treated plasma. By surface plasmon resonance, pure C3 adsorbed to chitosan. The profile of serum factors associating with chitosan was consistent with a model in which anionic blood proteins with a pI lower than the pK(0) 6.78 of chitosan (the upper limit of chitosan pK(a)) associate electrostatically with cationic chitosan particles. Zymosan, a yeast ghost particle, activated complement in serum and citrated plasma, but not in EDTA-serum or methylamine plasma, to generate fluid-phase C5a, while C3b formed covalent cross-links with zymosan-associated proteins and became rapidly cleaved to iC3b, with factor Bb stably associated. These data demonstrate that chitosan is a nonreactive biomaterial that does not directly activate complement, and provide a novel basis for predicting anionic serum protein-chitosan interactions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".