Abstract P243: A Maternal High Salt Diet During Pregnancy and Lactation Affects Offspring Cardiac Function
Bibliographic record
Abstract
The maternal environment during pregnancy and lactation has important effects on the offspring’s cardiovascular system. For example, changes in offspring blood pressure and vascular structure have been reported to occur in response to a maternal high salt intake during pregnancy and lactation. However, it remains unclear whether a maternal high salt intake may affect cardiac function in offspring. We previously demonstrated that high salt diet causes aggravation of hypertension in young spontaneously hypertensive rats (SHR). Therefore, in the present study we investigated the influence of exposure to a maternal high salt diet during gestation and lactation on offspring cardiac function in SHR. SHR dams were fed either a high salt diet (4% NaCl) or a control (0.3% NaCl) diet. After weaning, the offspring were fed the control diet for 8 weeks. Systolic blood pressure and heart rate of the offspring were measured without heating using a photoplethysmographic tail-cuff system at 11 weeks of age. Indices of both left ventricular (LV) systolic and diastolic function (LV developed pressure [LVDP], and maximum rate of LV decline [-dP/dt]) and coronary flow were determined in 12 week old offspring using a Langendorff isolated perfused working heart system. Offspring of the high-salt diet-fed dams (High salt) had lower blood pressure, heart rate, and indices of both LV systolic and diastolic function, compared with offspring of the control diet-fed dams (control) (Fig.). There were no significant differences in coronary flow or heart weight between the two groups. These results suggest that a maternal high salt intake is a predisposing factor for disturbance of cardiac function in offspring.
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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) | 0.001 | 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) | 0.004 | 0.001 |
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".