Inhibition of alkaline phosphatase by cysteine: implications for calcium pyrophosphate dihydrate crystal deposition disease.
Bibliographic record
Abstract
OBJECTIVE: Calcium pyrophosphate dihydrate (CPPD) crystal deposition disease, a common arthritis affecting the elderly, is characterized by the deposition of CPPD crystals in articular joints. The mechanism underlying disease expression is unknown, but factors contributing to the pathogenesis may involve changes in enzymatic activities involving pyrophosphate and phosphate metabolism. Tissue nonspecific alkaline phosphatase (TNAP) is one of the major enzymes regulating pyrophosphate concentrations in articular joints. We hypothesized that inhibition of TNAP activity at pH = 7.4 by endogenous molecules can lead to CPPD disease pathogenesis. METHODS: We investigated the inhibitory effects of the amino acid cysteine on TNAP's phosphatase, inorganic pyrophosphatase, and CPPD crystal dissolution activities. Kinetic parameters V(max), K(M), concentration for 50% inhibition (I(50)), inhibitor constant (K(I)), and specific activities calculated from Initial Velocity, Eadie-Hofstee, Simple, Dixon, and Secondary plots were used to assess enzyme inhibition. RESULTS: Cysteine inhibited TNAP's phosphatase activity uncompetitively and its inorganic pyrophosphatase activity mix-competitively. CPPD crystal dissolution activity was also inhibited. I(50) values demonstrated that high cysteine concentration is required to inhibit 50% of enzyme activity. K(I) values suggested that inorganic pyrophosphatase activity is inhibited more than the phosphatase activity. Ca(++) and Mg(++) ion concentrations may regulate this inhibition. CONCLUSION: The control of endogenous inhibitors, such as cysteine, that interfere with TNAP's ability to regulate CPPD crystal formation and dissolution in joints could be a potential therapeutic option for CPPD crystal deposition disease.
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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 | 0.001 | 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) | 0.000 | 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".