Alterations in myocardial connexin-43 and matrix metalloproteinase-2 signaling in response to pregnancy and oxygen deprivation of Wistar rats: a pilot study
Bibliographic record
Abstract
Two important aspects of cardiac adaptive response to pregnancy have been studied in normal as well as hypoxic conditions: (1) intercellular signaling mediated by myocardial connexin-43 (Cx43) that is crucial to synchronize heart function; (2) extracellular signaling mediated by matrix metalloproteinase-2 (MMP-2) that is an early marker of extracellular matrix remodeling. Myocardial Cx43 distribution and functional capillary density were determined as well. Hypoxia was induced by exposure of rats to 10.5% O2 and 89.5% N2 in a hermetically sealed chamber. Findings showed that pregnancy resulted in a significant increase of Cx43 protein expression, its functional phosphorylated forms, and enhanced capillary density while did not affect either expression of total MMP-2 or its activity. Maternal hypoxia for 12 or 16 h did not affect elevated Cx43 but enhanced its distribution on lateral sides of the cardiomyocytes. In contrast, hypoxia of nonpregnant rats resulted in upregulation of Cx43, its lateral distribution, and enhanced capillary density. Hypoxia did not affect myocardial MMP-2 either in pregnant or nonpregnant rats. Cardiac adaptive response to pregnancy is accompanied by enhanced Cx43 without changes in MMP-2 signaling. Pregnant rat heart is tolerant to short-term hypoxemia, while nonpregnant rat heart reacts by upregulation of Cx43 and increased capillary density.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".