Metabolic, epigenetic and transcriptomic alterations in postnatal 16p11.2-deficient murine astrocytes
Bibliographic record
Abstract
SUMMARY Autism Spectrum Disorders (ASD) are associated with metabolic dysregulation. While astrocytes are integral to cerebral metabolism, their molecular and functional changes in ASD are poorly known. Using early postnatal primary cortical astrocytes from a mouse model of 16p11.2 deletion ASD syndrome ( 16p11.2 df/+ mice), we observed core molecular alterations with sex-specific profiles, suggesting divergent energetic pathways and epigenetic regulation. Targeted metabolomics revealed opposing phenotypes in male versus female 16p11.2 df/+ astrocytes, particularly for alpha-ketoglutaric acid. Functionally, 16p11.2 df/+ astrocytes exhibited elevated phosphorylation in low glucose culture conditions, and reduced glycolysis in high glucose. Epigenetic profiling of male 16p11.2 df/+ astrocytes revealed differentially hydroxymethylated and methylated regions, with foci on chromosomes 3 and 13. Finally, bulk RNA sequencing in male and female mutant astrocytes indicated differential gene expression with profound sex differences, mostly affecting pathways related to cellular morphology. By establishing 16p11.2 df/+ astroglial molecular signatures, this study refines our understanding of glial changes in ASD.
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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 | 0.000 |
| 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".