A Glo1-Methylglyoxal Pathway that Is Perturbed in Maternal Diabetes Regulates Embryonic and Adult Neural Stem Cell Pools in Murine Offspring
Bibliographic record
Abstract
Maternal diabetes is known to adversely influence brain development in offspring. Here, we provide evidence that this involves the circulating metabolite methylglyoxal, which is increased in diabetes, and its detoxifying enzyme, glyoxalase 1 (Glo1), which when mutated is associated with neurodevelopmental disorders. Specifically, when Glo1 levels were decreased in embryonic mouse cortical neural precursor cells (NPCs), this led to premature neurogenesis and NPC depletion embryonically and long-term alterations in cortical neurons postnatally. Increased circulating maternal methylglyoxal caused similar changes in embryonic cortical precursors and neurons and long-lasting changes in cortical neurons and NPCs in adult offspring. Depletion of embryonic and adult NPCs was also observed in murine offspring exposed to a maternal diabetic environment. Thus, the Glo1-methylglyoxal pathway integrates maternal and NPC metabolism to regulate neural development, and perturbations in this pathway lead to long-lasting alterations in adult neurons and NPC pools.
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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".