Perinatal Iron Deficiency Combined with a High-Fat Diet Causes Obesity and Cardiovascular Dysregulation
Bibliographic record
Abstract
Consumption of a high-fat Western diet (WD) and the resultant obesity is linked to a number of chronic pathologies, including cardiovascular dysregulation. The purpose of the present study was to determine whether perinatal iron deficiency (PID) added to the consumption of a WD would precipitate an obese phenotype with exacerbated metabolic and cardiovascular outcomes in adult offspring. Female Sprague Dawley rats were fed either a control (225 mg/kg Fe) or an iron-restricted diet (3-10 mg/kg Fe) prior to and throughout gestation. At birth, all dams were fed an iron-replete diet. At weaning, offspring were fed a normal diet or WD for up to 21 wk. Hemodynamics and locomotor activity were assessed by radiotelemetry starting at 15 wk of age. Iron restriction during pregnancy caused severe anemia in dams and offspring, resulting in 15% lower birth weights in the offspring. PID offspring fed the WD had greater caloric intake and exhibited reduced locomotor activity compared with their normal diet-fed littermates; no such effects were observed in normal iron control offspring. Despite having a similar effect on serum lipid profiles, consumption of the WD had a greater impact on body weight in the PID group, and this weight gain was due largely to visceral adipose tissue accumulation. A significant correlation between visceral adipose tissue weight and mean arterial pressure was observed in the PID offspring but not in controls. These observations demonstrate that PID predisposes offspring to an enhanced response to WD characterized by increased fat accumulation and cardiovascular dysregulation.
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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) | 0.000 | 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) | 0.001 | 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".