Targeted Disruption of <i>cd73</i> /Ecto-5′-Nucleotidase Alters Thromboregulation and Augments Vascular Inflammatory Response
Bibliographic record
Abstract
To investigate the role of adenosine formed extracellularly in vascular homeostasis, mice with a targeted deletion of the cd73/ecto-5'-nucleotidase were generated. Southern blot, RT-PCR, and Western blot analysis confirmed the constitutive knockout. In vivo analysis of hemodynamic parameters revealed no significant differences in systolic blood pressure, ejection fraction, or cardiac output between strains. However, basal coronary flow measured in the isolated perfused heart was significantly lower (-14%; P<0.05) in the mutant. Immunohistochemistry revealed strong CD73 expression on the endothelium of conduit vessels in wild-type (WT) mice. Time to carotid artery occlusion after ferric chloride (FeCl3) was significantly reduced by 20% in cd73-/- mice (P<0.05). Bleeding time after tail tip resection tended to be shorter in cd73-/- mice (-35%). In vivo platelet cAMP levels were 0.96+/-0.46 in WT versus 0.68+/-0.27 pmol/106 cells in cd73-/- mice (P<0.05). Under in vitro conditions, platelet aggregation in response to ADP (0.05 to 10 micromol/L) was undistinguishable between the two strains. In the cremaster model of ischemia-reperfusion, the increase in leukocyte attachment to endothelium was significantly higher in cd73-/- compared with WT littermates (WT 98% versus cd73-/- 245%; P<0.005). The constitutive adhesion of monocytes in ex vivo-perfused carotid arteries of WT mice was negligible but significantly increased in arteries of cd73-/- mice (P<0.05). Thus, our data provide the first evidence that adenosine, extracellularly formed by CD73, can modulate coronary vascular tone, inhibit platelet activation, and play an important role in leukocyte adhesion to the vascular endothelium in vivo.
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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 | 0.001 |
| 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".