Thromboxane-induced actin polymerization in hypoxic pulmonary artery is independent of Rho
Bibliographic record
Abstract
Actin polymerization (APM), regulated by Rho GTPases, promotes myocyte force generation. Hypoxia is known to impede postnatal disassembly of the actin cytoskeleton in pulmonary arterial (PA) myocytes. We compared basal and agonist-induced APM in myocytes from PA and descending aorta (Ao), under hypoxic and normoxic conditions. We also examined effects of thromboxane challenge on force generation and cytoskeletal assembly in resistance PA and renal arteries from neonatal swine with persistent pulmonary hypertension (PPHN) induced by 72-h normobaric hypoxia, compared with age-matched controls. Synthetic and contractile phenotype myocytes from neonatal porcine PA or Ao were grown in hypoxia (10% O(2)) or normoxia (21% O(2)) for 7 days, then challenged with 10(-6) M thromboxane mimetic U46619. F/G actin ratio was quantified by laser-scanning cytometry and by cytoskeletal fractionation. Thromboxane receptor (TP) G protein coupling was measured by immunoprecipitation and probing for Gαq, G12, or G13, RhoA activation by Rhotekin-RBD affinity precipitation, and LIM kinase (LIMK) and cofilin phosphorylation by Western blot. Isometric force to serial concentrations of U46619 was measured in muscular pulmonary and renal arteries from PPHN and control swine; APM was quantified in fixed contracted vessels. Contractile PA myocytes exhibit marked Rho-dependent APM in hypoxia, with increased active RhoA and LIMK phosphorylation. Their additional APM response to U46619 challenge is independent of RhoA, reflecting decreased TP association with G12/13 in favor of Gαq. In contrast, hypoxic contractile Ao myocytes polymerize actin modestly and depolymerize to U46619. Both basal APM and the APM response to U46619 are increased in PPHN PA. APM corresponds with increased force generation to U46619 challenge in PPHN PA but not renal arteries.
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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".