Coordinated <i>Tcf7l2</i> regulation in a mouse model implicates Wnt signaling in fetal alcohol spectrum disorders
Bibliographic record
Abstract
Mouse models of fetal alcohol spectrum disorders (FASD) have repeatedly identified genes with long-term changes in expression, DNA methylation, noncoding RNA, and histone modifications in response to neurodevelopmental alcohol exposure. Articulation of FASD is achieved via alcohol’s effect on gene expression, likely involving epigenetic regulation. The list of genes affected is large and heterogeneous, depending on experimental protocol. We present reanalysis and synthesis of results highlighting the Wnt transcription factor 7 like 2 (Tcf7l2) gene as uniquely compatible with hippocampal DNA methylation, histone modifications, and gene expression changes in a coordinated response to neurodevelopmental alcohol exposure. We data-mined the literature for Tcf7l2 alterations in response to prenatal alcohol exposure. Four studies identified changes in brain Tcf7l2 expression in different FASD models. Further, we performed an in silico TCF7L2 binding site analysis for FASD mouse model data sets. Seven of these published gene lists were significantly enriched for TCF7L2 binding, indicating potential functional relationships. Finally, TCF7L2 is involved in regulation of hundreds of genes, with a role in brain development, myelination, and neuronal function. Tcf7l2 may be involved in neurological defects associated with alcohol exposure via dysregulation of many genes through Wnt signaling. Further functional work is warranted to validate this model for FASD.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".