Abnormal neurogensis in the hippocampus of a mouse model of fragile X syndromes
Bibliographic record
Abstract
Fragile X syndrome is the most common inherited form of mental retardation. It is a neurodevelopmental disorder that is similar in clinical presentation to autism spectrum disorder. However, unlike autism, Fragile X syndrome is caused by the silencing of a single gene, and in recent years, a mouse model of Fragile X syndrome has been generated by deletion of the Fmr1 gene. Surprisingly, a clear neurobiological basis for the learning impairment observed in both these knockout mice and patients has been difficult to elucidate. We hypothesized that neurogenesis, a process that continues into adulthood in the hippocampus, may be abnormal in this syndrome. Support for such a hypothesis comes from the findings that these new neurons may disproportionately contribute to synaptic plasticity in networks engaged during learning and memory. We have shown that the survival of new cells in the hippocampus of young Fmr1 knockout mice is significantly decreased in the ventral hippocampus, a sub-region which may be more involved with emotional, rather than, spatial memory. Further experiments are being conducted to assess the differentiation of these new cells into neurons and glia. We are also characterizing the normal expression of the Fmr1 gene product, FMRP, across the phases of neurogenesis in control mice. In conclusion, we have discovered a clear impairment in a process that may be critical to emotionally-significant learning and memory in a mouse model of Fragile X syndrome.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".