Effects of a high maternal sodium intake on offspring of genetically diverse (CCHS) mice
Bibliographic record
Abstract
The present study sought to determine whether a high maternal salt intake during pregnancy and lactation affected offspring blood pressure (BP), heart rate (HR), or locomotor activity in a genetically diverse stock of mice (Collaborative Cross Heterozygous Stock, CCHS). Dams were fed a low or high salt diet (0.25% NaCl (LS) vs 5% NaCl (HS)) from before conception through weaning, and telemetry studies were performed in 10 month old male offspring raised on either the LS or HS diet. A maternal HS diet was associated with significantly smaller litter sizes (P=0.03, data from groups of 34 and 37 litters), but offspring weight was not affected at any time between the day of birth (data from 22 and 24 litters) and 10 months of age (group sizes ≥ 11). Telemetry studies revealed no effects of maternal HS on mean BP or HR. However, maternal HS was associated with increased circadian variation in BP, increased percentage of time spent active during the 12h light period, and a tendency towards increased pulse pressure (P=0.03, 0.04, 0.06, respectively, group sizes of 8 – 14). Our results indicate that a maternal high salt diet does not affect offspring mean BP level in 10 month old male CCHS mice, but does reduce litter size and has subtle effects on activity and blood pressure cycles. Supported by the Canadian Institutes of Health Research (#91547).
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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) | 0.000 | 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) | 0.003 | 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".