Prenatal Ethanol Exposure in Rats Decreases Levels of Complexin Proteins in the Frontal Cortex
Bibliographic record
Abstract
BACKGROUND: Rodents that are prenatally exposed to ethanol have been shown to exhibit a wide range of cognitive deficits, including impairments in memory, attention and executive function. To determine a potential molecular substrate for cognitive dysfunction in adulthood, we measured regional levels of the presynaptic proteins complexin I and II in a rat model of prenatal ethanol exposure, as levels of these proteins are altered in cognitive-related synaptic plasticity. METHODS: Pregnant female rats received either a liquid ethanol diet (36% ethanol-derived calories) or a liquid control diet (maltose-dextrin isocalorically substituted for ethanol, matched in amount [g/kg body wt/day of gestation] to an ethanol-consuming partner), or were given ad libitum-fed access to standard laboratory chow and water. Levels of complexin I, II and the ubiquitous presynaptic marker synaptophysin were measured in the frontal cortex and hippocampus of adult male offspring, using ELISA. RESULTS: Prenatal exposure to ethanol did not alter levels of presynaptic proteins in the hippocampus or levels of synaptophysin in the prefrontal cortex. However, rats prenatally exposed to ethanol displayed significantly lower levels of both complexin I and II in the prefrontal cortex compared to control animals. CONCLUSIONS: These data indicate that prenatal exposure to ethanol is associated with a selective loss of complexin proteins in the frontal cortex. These proteins are known to be important for activity-dependent neurotransmission, and have previously been shown to mediate synaptic plasticity and cognition. These combined findings suggest that further study of complexin proteins as a substrate for cognitive impairment related to prenatal exposure to ethanol is warranted.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".