Evaluating Electrospun Polycaprolactone Fibers for Blood‐Contacting Applications
Bibliographic record
Abstract
When the kidneys are injured, uremic toxins (UTXs) accumulate in the body, affecting other tissues and causing a loss of essential body functions. This study investigated the adsorption of blood plasma-laden UTXs on the surface of PCL fibers to assess their potential as an alternative to membrane dialysis materials. Using plasma containing 26 UTXs at a concentration similar to that found in end-stage kidney disease patients, we analyzed the adsorbed proteins and examined clot formation in normal and toxin-treated plasma in the presence of PCL fibers. Our findings revealed that the presence of UTXs significantly increased the adsorption of proteins on PCL fiber meshes, without leading to increased clot formation. This suggests a lack of enzymatic activation despite the higher protein adsorption. Additionally, our study indicates that unmodified PCL surfaces have the potential to trigger a strong humoral immune response, underscoring the importance of understanding these interactions for the development of personalized treatment approaches for patients with kidney failure.
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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 | 0.001 |
| 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".