A Ligand-induced Conformational Change in Apolipoprotein(a) Enhances Covalent Lp(a) Formation
Bibliographic record
Abstract
Lipoprotein(a) (Lp(a)) assembly proceeds via a two-step mechanism in which initial non-covalent interactions between apolipoprotein(a) (apo(a)) and low density lipoprotein precede disulfide bond formation. In this study, we used analytical ultracentrifugation, differential scanning calorimetry, and intrinsic fluorescence to demonstrate that in the presence of the lysine analog epsilon-aminocaproic acid, apo(a) undergoes a substantial conformational change from a "closed" to an "open" structure that is characterized by an increase in the hydrodynamic radius (approximately 10%), an alteration in domain stability, as well as a decrease in tryptophan fluorescence. Although epsilon-aminocaproic acid is a well characterized inhibitor of the non-covalent interaction between apo(a) and low density lipoprotein, we report the novel observation that this ligand at low concentrations (100 microm-1 mm) significantly enhances covalent Lp(a) assembly by altering the conformation of apo(a). We developed a model for the kinetics of Lp(a) assembly that incorporates the conformational change as a determinant of the efficiency of the process; this model quantitatively explains our experimental observations. Interestingly, an analogous conformational change has been previously described for plasminogen resulting in an increase in the hydrodynamic radius, an increase in tryptophan fluorescence, and an acceleration of the rate of plasminogen activation. Although the functions of apo(a) and plasminogen have diverged considerably, elements of structural and conformational homology have been retained leading to similar regulation of two unrelated biological processes.
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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) | 0.001 | 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".