Nutritional Status of Pregnant Mothers Influence the Health in Adult Life of their Children
Bibliographic record
Abstract
Pregnancy and fetal development are periods of rapid growth and cell differentiation when mother and offspring are vulnerable to changes. Adverse events during development can be linked to an increased risk in developing metabolic diseases. Growth restriction in utero is associated with the development of obesity, hypertension, and diabetes. In these processes, the liver plays a fundamental role. The aim of this work was to evaluate the effects of a low protein diet in pregnant and lactating mothers on the antioxidant status of the offspring liver. To reproduce real conditions, we used an experimental rat model. Both ROS and the protective antioxidant systems have to work in coordination to reach a state of redox homeostasis. Excess generation of ROS may result in cell death or different pathological processes. The study also highlights the complex nature of malnutrition injury in which ROS correlates with the hepatic injury in a cause-and-effect manner. The male offspring with intrauterine growth restriction (IUGR) caused by the isocaloric low-protein diet (8%) showed decreased liver and body weight at birth. Hepatic cholesterol levels and serum transaminase increase, at weaning (24 day of age). We observed excess generation of ROS, carbonyl group and lipoperoxidation with that may result in cell death or different pathological processes in the liver. Conclusion: This study would suggests that liver injury due to accelerated release of toxic oxygen species and impaired antioxidant status may contribute to the high susceptibility to suffer metabolic diseases, that are related to diet in early life and that manifest 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 | 0.001 | 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".