A NOVEL DRUG TARGETTING THE INFLAMMASOME AMELYORATES AD PATHOLOGY IN THE MURINE MODEL <i>5xFAD</i>
Bibliographic record
Abstract
Alzheimer’s disease (AD) is a progressive neurological disorder commonly associated with aging and the main widespread form of dementia. It is known that, concomitant with plaques and tangles accumulation, patients undergo a severe neuroinflammatory and iron accumulation processes that contributes to neuronal loss during AD progression. Currently, available pharmacological treatments are unable to resolve the disease, therefore the development of novel drugs able to prevent neuroinflammation before symptoms are fully present may provide an alternative approach. In this study, 5xFAD mice, a murine model with five familial human AD mutations inducing constitutive amyloid accumulation, have been treated orally from weaning until 5 months of age with INF235. This novel compound is able to inhibit the NLRP3 inflammasome, a multiprotein complex involved in the inflammatory process that plays an active role in the pathogenesis of AD. INF235 treated mice have been compared to non-treated mice and mice treated with MCC950, a well-known NLRP3 inflammasome inhibitor. At the end of the treatment, we conducted a battery of behavioral tests to evaluate the cognitive status of 5xFAD mice and histological analysis of brain tissue. Results showed that, in the asymptomatic phase of AD, mice treated with MCC950 and INF235 have similar behaviour in terms of general cognitive improvement compared to non-treated mice. Moreover, histological staining of the main areas affected by AD (cortex, hippocampus, third ventricle, striatum) revealed a significant reduction in the amount of iron deposits in INF235-treated 5xFAD brains; and inflammatory markers, IBA- 1 and GFAP, showing a significant reduction in the state of activation of glial cells. This preliminary work shows how the novel inflammasome inhibitor, INF235, is able to reduce iron accumulation and the activation state of important players in neurodegeneration offering a novel strategy to deepen into the prevention of not only neuroinflammation but also iron dyshomeostasis during presimptomatic AD. This work is supported by MIUR project ‘Dipartimenti di Eccellenza 2023-2027’ to Department of Neuroscience ‘RitaLevi Montalcini’ to Alessandro Vercelli and Serena Stanga.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".