Human Serum Albumin Affinity for Putrescine Using ITC and STD-NMR
Bibliographic record
Abstract
Understanding the binding interactions between protein-bound uremic toxins (PBUTs) and human serum albumin (HSA) is critical for advancing treatments for chronic kidney disease (CKD). While previous studies have suggested that putrescine, a diamine PBUT, exhibits moderate binding affinity to HSA, this study provides evidence of the contrary. Using isothermal titration calorimetry and saturation transfer difference nuclear magnetic resonance , we demonstrate that putrescine's interaction with HSA is weak, non-specific, and thermodynamically negligible in the range of conditions studied. Unlike earlier studies relying on spectroscopy techniques such as UV-visible absorption and fluorescence, which may overestimate binding strength, the results presented here highlight the limitations of indirect methodologies and underscore the importance of more sensitive approaches for accurate energy characterization. Our findings suggest that putrescine only weakly interacts non-specifically with HSA and may bind more preferentially to other plasma proteins, contributing to its accumulation in CKD patients.
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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) | 0.001 | 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 | 0.001 |
| 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".