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Record W2538156030 · doi:10.1016/j.celrep.2016.09.067

A Glo1-Methylglyoxal Pathway that Is Perturbed in Maternal Diabetes Regulates Embryonic and Adult Neural Stem Cell Pools in Murine Offspring

2016· article· en· W2538156030 on OpenAlexafffund
Guang Yang, Gonzalo I. Cancino, Siraj K. Zahr, Axel Guskjolen, Anastassia Voronova, Denis Gallagher, Paul W. Frankland, David R. Kaplan, Freda D. Miller

Bibliographic record

VenueCell Reports · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersCanadian Institutes of Health ResearchFondation Brain CanadaHeart and Stroke Foundation of Canada
KeywordsMethylglyoxalOffspringEmbryonic stem cellNeurogenesisNeural stem cellBiologyCell biologyEndocrinologyCorticogenesisDiabetes mellitusInternal medicineStem cellEnzymeBiochemistryPregnancyGeneticsMedicineGene

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.238
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations49
Published2016
Admission routes2
Has abstractyes

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