In vivo inhibition of stearoyl-CoA desaturase modulates the hippocampal fatty acid profile and restores density of dendritic spines in the aggressive 5xFAD model of Alzheimer’s disease
Bibliographic record
Abstract
Abstract While alterations in brain lipids are a central feature of Alzheimer’s disease (AD), therapeutic strategies targeting brain lipid metabolism are still lacking. Prior preclinical work has shown that pharmacological inhibition of the fatty acid desaturase, stearoyl-CoA desaturase (SCD), leads to recovery of hippocampal synapses with associated improvements in learning and memory in the slow-progressing 3xTg AD mouse model. Here, we used the rapidly progressing, highly amyloidogenic 5xFAD AD model to further delve into the effect of the SCD inhibitor (SCDi) on AD-associated fatty acid alterations and synapse loss. Hippocampus, cortex and plasma samples were collected from male and female 5xFAD and non-carrier control mice for fatty acid profiling and assessment of disease hallmarks. Plaque pathology, gliosis, and fatty acid alterations that included an increase in the C16:1/C16:0 desaturation index, a measure of SCD enzymatic activity, were apparent in the female hippocampus at 5 months of age, with similar fatty acid changes appearing in males by 8 months. Intracerebroventricular infusion of SCDi via osmotic pump for 28 days in 5 months old female 5xFAD and NC mice modulated the SCD-related fatty acid disturbances as well as PUFA concentrations. Quantification of Golgi staining revealed an SCDi-induced recovery of dendritic spine density. The beneficial effects of SCDi treatment on fatty acid balance and hippocampal dendritic spines in this more aggressive amyloidogenic 5xFAD model further support SCD inhibition as a promising therapeutic avenue for AD.
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) | 0.001 | 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 | 0.001 | 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".