Synaptic Development and Neuronal Myelination Are Altered with Growth Restriction in Fetal Guinea Pigs
Bibliographic record
Abstract
This study examines aberrant synaptogenesis and myelination of neuronal connections as possible links to neurological sequelae in growth-restricted fetuses. Pregnant guinea pig sows were subjected to uterine blood flow restriction or sham surgeries at midgestation. The animals underwent necropsy at term with fetuses grouped according to body weight and brain-to-liver weight ratios as follows: appropriate for gestational age (n = 12); asymmetrically fetal growth restricted (aFGR; n = 8); symmetrically fetal growth restricted (sFGR; n = 8), and large for gestational age (n = 8). Fetal brains were perfusion fixed and paraffin embedded to determine immunoreactivity for synaptophysin and synaptopodin as markers of synaptic development and maturation, respectively, and for myelin basic protein as a marker for myelination, which was further assessed using Luxol fast blue staining. The most pertinent findings were that growth-restricted guinea pig fetuses exhibited reduced synaptogenesis and synaptic maturation as well as reduced myelination, which were primarily seen in subareas of the hippocampus and associated efferent tracts. These neurodevelopmental changes were more pronounced in the sFGR compared to the aFGR animals. Accordingly, altered hippocampal development involving synaptogenesis and myelination may represent a mechanism by which cognitive deficits manifest in human growth-restricted offspring in later life.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".