Analysis of the Epigenetic Mechanism and Treatment of Huntington’s Disease
Bibliographic record
Abstract
Huntington’s disease (HD) is an irreversible neurodegenerative disorder that is inherited in an autosomal dominant manner. In HD, many regions of the human brain are affected, including the striatum, thalamus, and cortex. The mechanism is by the expansion of CAG repeats, which encode glutamine (Q) in the Huntingtin gene on chromosome 4p16.3. Patients with more CAG repeats tend to have a younger age of onset and a higher risk. Mutant HTT protein, translated from mtHtt, would congregate or interact with other proteins, causing damage to the human body. Patients with HD show symptoms like chorea, which is an involuntary motor disability, cognitive deterioration, and psychiatric disturbances. Except for the genetic pathology of HD, the epigenetic mechanism of this disease has made a lot of progress in recent years. This paper primarily focuses on the alternation of deoxyribonucleic acid (DNA) methylation, histone modification, and non-coding ribonucleic acids (ncRNAs) in HD as well as the advancements of epigenetic therapy and healthcare in HD.
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 | 0.000 | 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".