Maternal Dietary Deficiencies in Folic Acid and Choline Change Metabolites Levels in Offspring after Ischemic Stroke
Bibliographic record
Abstract
Background/objectives: Ischemic stroke is a major health concern, and nutrition is a modifiable risk factor that can influence recovery outcomes. This study investigated the impact of maternal dietary deficiencies in folic acid (FADD) or choline (ChDD) on the metabolite profiles of offspring after ischemic stroke. Methods: A total of 32 mice (17 males and 15 females) were used to analyze sex-specific differences in response to these deficiencies. Results: At 1-week post-stroke, female offspring from the FADD group showed the greatest number of altered metabolites, including pathways involved in cholesterol metabolism and neuroprotection. At 4 weeks post-stroke, both FADD and ChDD groups exhibited significant disruptions in metabolites linked to inflammation, oxidative stress, and neurotransmission. Conclusions: These alterations were more pronounced in females compared to males, suggesting sex-dependent responses to maternal dietary deficiencies. The practical implications of these findings suggest that ensuring adequate maternal nutrition during pregnancy may be crucial for reducing stroke susceptibility and improving post-stroke recovery in offspring. Nutritional supplementation strategies targeting folic acid and choline intake could potentially mitigate the long-term adverse effects on metabolic pathways and promote better neurological outcomes. Future research should explore these dietary interventions in clinical settings to develop comprehensive guidelines for maternal nutrition and stroke prevention.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".