Mitochondrial protein 17β-hydroxysteroid dehydrogenase type 10 in the brain of a genetic animal model of Alzheimer's disease (McGill-R-Thy1-APP rats)
Bibliographic record
Abstract
Transgenic McGill-R-Thy1-APP rats are one of the best animal genetic models of Alzheimer's disease (AD). Significant intracellular elevation of soluble amyloid β (Aβ) and cognitive deficits are observed already in 3-month-old rats, prior to extracellular plaque deposition. Mitochondrial bioenergetic capacity appears to be altered via defects in complex I enzymatic activity in the electron transport chain already in 6-month-old rats. Nucleus-encoded mitochondrial matrix protein 17β-hydroxysteroid dehydrogenase type 10 (17βHSD10) operates via multiple enzymatic and non-enzymatic functions and is known as a binding partner of intracellular Aβ. In patients with AD, 17βHSD10 overexpression has been reported in brain and increased levels in cerebrospinal fluid. Cytoplasmic 17βHSD10 is imported via the PINK1-Parkin-TOM/TIM pathway into mitochondrial matrix, where it binds e.g. cyclophilin D (CypD) and prevents its translocation to the inner mitochondrial membrane. By this mechanism, 17βHSD10 can regulate the opening of the mitochondrial permeability transition pore mediated by CypD. It seems that accumulated mitochondrial Aβ may influence this regulation. In this study, we measured 17βHSD10 levels in mitochondria isolated from the brain of 11-month-old homozygous McGill-R Thy1-APP rats and we evaluated...
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".