Characterization of Taurocholic Acid Binding With Insulin for Potential Oral Formulation Using Different Methods
Bibliographic record
Abstract
ABSTRACT In diabetes management, oral formulation of insulin (INS) has the potential to improve safety, convenience, and patient‐centered care compared to subcutaneous injections. However, its bioavailability remains limited, necessitating improved delivery strategies. Recent clinical trials indicate that taurocholic acid (TCA) can enhance the bioavailability of oral INS as an absorption enhancer. In this work, electrospray ionization mass spectrometry (ESI‐MS) analysis revealed the formation of 1:1–1:4 INS–TCA complexes. MS/MS was used to explore the fragmentation pathway of complex ions and confirm binding stability in the gas phase. Circular dichroism spectra showed no clear conformational change in INS upon TCA binding, even though TCA enhanced INS's structural stability. Using Taylor dispersion analysis (TDA), we determined the diffusion coefficient and hydrodynamic radius of INS and its complexes. TCA binding was observed to increase INS size in both the 1:1 and 1:2 INS–TCA complexes. The binding constant of INS and TCA (1.3 × 10 3 L/mol) with approximately five binding sites was obtained via pressure‐assisted capillary electrophoresis frontal analysis. Molecular docking simulations indicated that TCA binds to external binding sites on the INS B chain (near Ser‐B9, Glu‐B13, and Phe‐B24 residues), consistent with ESI‐MS and TDA results. These findings suggest that TCA binding may enhance INS absorption and increase the bioavailability of oral INS therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".