Bibliographic record
Abstract
Chronic phase of type 2 diabetic conditions have been associated with certain cerebral complications, which we term "diabetic encephalopathy," which includes neurobehavioral dysfunctional patterns and morphological alterations of neurons, especially within the hippocampus.Epigenetic alterations in the brain are well known to affect age-associated disorders, however, its association with the evolving diabetes-induced damage in the brain is still not fully understood.DNA hypermethylation within the neurons tends to silence the gene expression of several regulatory proteins.Molecular chaperones and synaptic proteins are important functional regulators for maintaining the synaptic transmission in the hippocampus.The findings in the study have shown an increase in global DNA methylation within the HFD/STZ-induced diabetic mice brain.Inhibiting DNA methylation, restored the levels of hsf1, the master regulator for molecular chaperones as well as an integral protein for maintaining synaptic fidelity, and also the chaperones hsp40, 60, and 70 in the hippocampus of the diabetic mice.Rescue in synaptic proteins PSD95 and synaptophysin, important for synaptic transmission, further confirmed positive reinforcements.Astrocyte activation (GFAP) was further significantly decreased in the 5-azadeoxycytidine group (DNMT inhibitor), suggesting an attempt in restoring neuroinflammation, further evidenced by the decrease in proinflammatory cytokines TNF⍺, IL-6, and mediators iNOS and phospho-NFkβ.Our results suggest that changes in DNA methylation advocate epigenetic dysregulation and its involvement in disrupting the synaptic exactitude in the hippocampus of diabetic mice model, providing an insight into the pathophysiology of diabetic encephalopathy.MTU01-02 | Histone acetyltransferase KAT2A is a critical epigenetic regulator of cocaine responses in the nucleus accumbens Erin Calipari
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.851 | 0.674 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".