Perinatal iron deficiency results in increased visceral adiposity in male Wistar rats
Bibliographic record
Abstract
Perinatal iron deficiency (ID) has adverse programming effects in adult offspring manifested as alterations in cardiovascular function as well as glucose and lipid metabolism. Given the importance of increased visceral adipose tissue (VAT) as a likely mediator of these sequalae, in the present study we determined the effect of perinatal ID on VAT in male wistar rats, and its association with other obesity‐related disturbances, such as salt sensitive arterial pressure (AP). Dams were fed a low iron diet (<10ppm Fe) prior to and throughout gestation. At delivery, dams were fed a normal iron diet (270ppm Fe). ID offspring had lower body weights (−11%) and markedly reduced hematocrits (−40%) at birth compared to controls. At 16 weeks of age, these animals had 20% more VAT (normalized to body weight) than controls. Furthermore, the elevation of AP (assessed by radiotelemetry) in response to increased sodium intake was 79% greater in the ID offspring compared to controls. In summary, perinatal ID resulted in a persistent increase in visceral adiposity associated with an enhanced hypertensive response to dietary salt. Supported by the Canadian Institutes of Health Research and the Bickell Foundation of Canada.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".