Regulation of Pulmonary Arterial Myosin Phosphatase Activity in Neonatal Circulatory Transition and in Hypoxic Pulmonary Hypertension: A Role for CPI-17
Bibliographic record
Abstract
Neonatal circulatory transition is dependent upon tightly regulated pulmonary circuit relaxation. Persistent pulmonary hypertension of the newborn (PPHN) is characterized by pulmonary arterial myocyte relaxation failure. We examined the effect of short course (72 hour) in vivo normobaric hypoxia in newborn swine on smooth muscle contractile enzyme activity and regulatory phosphoprotein abundance, in tissue homogenates of 2nd to 4th generation pulmonary arteries. Myosin light chain kinase (MLCK) and phosphatase (MLCP) protein contents were unchanged in hypoxic pulmonary arteries compared to controls. MLCP activity increased in normoxic animals from birth to day 3. This was ablated by hypoxia; phosphatase activity, measured as in vitro myosin light chain dephosphorylation, was decreased significantly (P < 0.005) in the hypoxic group. Inhibitory site phosphorylations of MLCP myosin binding subunit at threonines 696 and 850 were similar in both hypoxic and normoxic subjects, suggesting that downregulation of MLCP in hypoxia does not involve this pathway. However, content of regulatory protein CPI-17 (protein kinase C-related phosphatase inhibitor) increased from birth in hypoxic subjects (P < 0.05); active (phosphorylated) CPI-17 protein abundance declined after birth in normals, but increased in hypoxic arteries (P < 0.05). This corresponded with the decrease in phosphatase activity. We speculate that CPI-17 may play a role in myosin phosphatase upregulation during neonatal circulatory transition, and in hypoxic inhibition of pulmonary phosphatase activity in PPHN.
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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".