Effects of chronic prenatal ethanol exposure on NMDA receptor number and affinity for [3H]MK-801 in the cerebral cortex of the young postnatal and adult guinea-pig
Bibliographic record
Abstract
The objective of this study was to test the hypothesis that chronic prenatal ethanol exposure (CPEE) produces changes in the number and/or affinity of N-methyl-D-aspartate (NMDA) receptors in the cerebral cortex that are developmental-age-dependent. Timed, pregnant Dunkin-Hartley-strain guinea-pigs received oral intubation of one of the following regimens, given daily as two equally divided doses 2 h apart, from gestational day (GD) 2 to GD 67 (term, ~GD 68): (i) 4 g ethanol kg(-1) maternal bodyweight; (ii) isocaloric sucrose with pair feeding; or (iii) water. Maternal blood ethanol concentration was measured on GD 57 or 58 at 1 h after the daily dose, and was 51.1 +/- 8.5 mM (235 +/- 39 mg dL(-1); n = 8). At postnatal day (PD) 11 (pre-weaning) and PD 61 (adulthood), body, brain and cerebral cortical weights of the offspring were measured. The number of NMDA receptors and their affinity for [(3)H]MK-801 were measured in a crude cerebral cortical membrane preparation using saturation isotherm analysis to determine the B(max) and K(D). Chronic prenatal ethanol exposure decreased offspring brain and cerebral cortical weights at PD 11 and PD 61. At PD 11, there was no CPEE-induced change of [(3)H]MK-801 binding characteristics in the cerebral cortex. At PD 61, both B(max) and K(D) for [(3)H]MK-801 binding to cerebral cortical NMDA receptors were decreased by CPEE compared with the isocaloric sucrose/pair-fed and water treatment groups. Loss of cerebral cortical NMDA receptors and increased affinity of the remaining receptors for [(3)H]MK-801 in the adult guinea-pig, compared with no change in the number or affinity of these receptors in the young postnatal offspring, demonstrated that the effects of CPEE on these ionotropic glutamate receptors are developmental-age-dependent.
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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 | 0.000 | 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 | 0.001 |
| 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".