The effect of maternal low-protein diet on the heart of adult offspring: role of mitochondria and oxidative stress
Bibliographic record
Abstract
Protein restriction during perinatal and early postnatal development is associated with a greater incidence of disease in the adult, such arterial hypertension. The aim in the present study was to investigate the effect of maternal low-protein diet on mitochondrial oxidative phosphorylation capacity, mitochondrial reactive oxygen species (ROS) formation, antioxidant levels (enzymatic and nonenzymatic), and oxidative stress levels on the heart of the adult offspring. Pregnant Wistar rats received either 17% casein (normal protein, NP) or 8% casein (low protein, LP) throughout pregnancy and lactation. After weaning male progeny of these NP or LP fed rats, females were maintained on commercial chow (Labina-Purina). At 100 days post-birth, the male rats were sacrificed and heart tissue was harvested and stored at -80 °C. Our results show that restricting protein consumption in pregnant females induced decreased mitochondrial oxidative phosphorylation capacity (51% reduction in ADP-stimulated oxygen consumption and 49.5% reduction in respiratory control ratio) in their progeny when compared with NP group. In addition, maternal low-protein diet induced a significant decrease in enzymatic antioxidant capacity (37.8% decrease in superoxide dismutase activity; 42% decrease in catalase activity; 44.8% decrease in glutathione-S-transferase activity; 47.9% decrease in glutathione reductase; 25.7% decrease in glucose-6 phosphate dehydrogenase) and glutathione level (34.8% decrease) when compared with control. From these findings, we hypothesize that an increased production of ROS and decrease in antioxidant activity levels induced by protein restriction during development could potentiate the progression of metabolic and cardiac diseases in adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".