Abstract 16349: A Novel Class of Inhibitors That Are Specific to Human NPP1 Prevent Pathologic Mineralization of Valve Interstitial Cells
Bibliographic record
Abstract
BACKGROUND: Ectonucleotide pyrophosphatase/phosphodiesterase 1 (NPP1) is an ectoenzyme, which plays a role into several disorders including calcific aortic valve disease (CAVD). So far, compounds that have been developed as inhibitors of NPP1 lack of potency and specificity. Quinazolin-4-piperidin-4-methyl sulfamide (QPS) derivatives have been described as potent inhibitors of NPP1. However, their mode of inhibition as well as their selectivity and capacity to modify biological processes have not been investigated. METHOD: We have investigated the potency and selectivity of QPS derivatives in inhibiting NPP1 by enzymatic activities. The biological effect of QPS derivatives was documented on the mineralization of valve interstitial cell cultures, apoptosis assay, as well as quantitative polymerase chain reaction. RESULTS: We documented that QPS1 derivative is a potent (67.9 ±5.3 nM) and selective non-competitive inhibitor of human NPP1. Moreover, QPS1 also significantly inhibited the K121Q NPP1 gene variant (ki 51.9±9.8 nM), which is prevalent in the general population. QPS1 did not significantly alter the activity of other nucleotide metabolising enzymes expressed at the cell surface, namely NPP3, NTPDases (1-3), ecto-5’-nucleotidase and ALP. Importantly, QPS1 in the low micromolar range (≤10μM) prevented phosphate-induced mineralization of VICs and lowered the rise of osteogenic genes as expected for NPP1 inhibition. CONCLUSION: We provide evidence that QPS1 is a potent and selective non-competitive inhibitor of NPP1 that prevents pathologic mineralization in a cellular model.
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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".