Antibody to marinobufagenin lowers blood pressure in pregnant rats on a high NaCl intake
Bibliographic record
Abstract
OBJECTIVE: The pathogenesis of pre-eclampsia (PE), a major cause of maternal and fetal mortality, is not fully understood. Digitalis-like sodium pump ligands (SPLs) are believed to be implicated in PE, as illustrated by clinical observations that DIGIBIND, a digoxin antibody that binds SPLs, lowers blood pressure (BP) in PE. We recently reported that plasma levels of marinobufagenin (MBG), a vasoconstrictor SPL, are increased four-fold in patients with PE. In the present study, we tested whether a polyclonal antibody to MBG can lower BP in rats with pregnancy-associated hypertension. METHODS: Systolic BP (SBP), 24-h renal excretion of MBG and endogenous ouabain (EO), and sodium pump activity in the thoracic aortae were measured in virgin and pregnant Sprague-Dawley rats without and with NaCl supplementation (drinking 1.8% NaCl solution). RESULTS: NaCl supplementation of virgin rats stimulated renal excretion of MBG by 60%, but not that of EO, and did not change the BP. Compared with virgin rats, the last week of pregnancy in non-NaCl-loaded rats was associated with a decrease in SBP (106 +/- 2 versus 117 +/- 2 mmHg); a moderate increase in renal excretion of MBG (97.6 +/- 4.9 versus 57.4 +/- 7.0 pmoles/24 h) and EO (36.2 +/- 4.3 versus 24.1 +/- 3.2 pmoles/24 h). NaCl-loaded pregnant rats exhibited elevation in SBP (139 +/- 3 mmHg; P < 0.01 versus non-NaCl-loaded pregnant rats), in renal excretion of MBG (160.0 +/- 17.5 pmoles/24 h; P < 0.01 versus non-NaCl-loaded pregnant rats), but not in EO, and showed fetal growth retardation. Administration of the anti-MBG antibody to NaCl-loaded pregnant rats lowered SBP (111 +/- 2 mmHg; P < 0.01) and increased aortic sodium pump activity (144 +/- 3 versus 113 +/- 5 nmol Rb/g per min; P < 0.01 versus non-NaCl-loaded pregnant rats). CONCLUSIONS: These observations provide evidence that MBG contributes to BP elevation in pregnant rats rendered hypertensive by NaCl supplementation.
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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 | 0.000 |
| 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 | 0.001 | 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".