Maternal dyslipidemia during pregnancy and lactation increases blood pressure and disrupts cardiorespiratory and glucose hemostasis in female rat offspring
Bibliographic record
Abstract
Hypertension and metabolic disorders evidenced in adults who have been exposed to nutritional insults during early life may be sex-dependent. We evaluated if blood pressure (BP), cardiorespiratory control, and metabolic parameters are affected in female offspring (FO) from dams fed a dyslipidaemic diet during pregnancy and lactation. FO was obtained from dams who received control (CTL) or dyslipidaemic diets during pregnancy and lactation. The effects of a maternal dyslipidaemic diet on BP, cardiorespiratory control, and biochemical parameters were assessed at 30 and 90 days of age. The experimental protocol based on a dyslipidaemic diet intervention was effective in developing maternal dyslipidemia. At 30 days of age, the FO from dyslipidaemic dams displayed disordered respiratory pattern, enhanced ventilatory response to hypercapnia (P < 0.05), and increased serum levels of total cholesterol and triglycerides (P < 0.05) when compared with CTL female offspring. At 90 days of age, FO from dyslipidaemic dams had augmented BP (P < 0.05), exacerbated cardiorespiratory responses to hypercapnia (P < 0.05), enhanced pressor responses to peripheral chemoreflex activation (P < 0.05), impaired baroreflex (P < 0.05), and larger delta variations in arterial pressure after ganglionic blockade (P < 0.05). Furthermore, during oral glucose and insulin tolerance tests, FO from dyslipidaemic dams exhibited altered glucose tolerance and insulin sensitivity (P < 0.05) when compared with FO from CTL dams. Altered breathing linked to enhanced central and peripheral chemosensitivity, impaired baroreflex, and augmented sympathetic tone may be predisposing factors for increased BP and metabolic disorders in female offspring from dyslipidaemic dams.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".