The Therapeutic Role of Monocytes in Alzheimer's Disease: Effects on Vascular Amyloid‐Beta Transport
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disease with no cure, and amyloid-beta (AB) accumulation is one of its key pathological hallmarks. Cerebral Amyloid Angiopathy (CAA), characterized by AB deposition in cerebral vasculature, is increasingly recognized as a significant contributor to Alzheimer's Disease development. Monocytes, which are key innate immune cells, play a crucial role in AB clearance. However, their therapeutic potential remains underexplored in the context of CAA. We hypothesize that the activation of the Nucleotide-binding oligomerization domain 2 (NOD2) receptor by Muramyl Dipeptide (MDP) to convert classical monocytes into non-classical, patrolling monocytes, will enhance AB clearance in APP/PS1 mice. Additionally, this favourable effect will be further amplified in combination with a glucocorticoid such as dexamethasone (Dex) due to its ability to upregulate key efflux transporters ABCB1 and LRP-1 while providing anti-inflammatory properties concurrently. In order to address this hypothesis, we'll start by investigating the implications of this NOD2 receptor and glucocorticoids on the modulation of monocytes and memory. We will also investigate the mechanisms of AB clearance. METHOD: We used wild-type, NOD2 knockout (KO), and APP/PS1 transgenic mouse models to assess the effects of MDP and Dex on monocyte modulation, transporter expression, and cognitive function. Flow cytometry was used to analyze monocyte populations, while transporter expression was evaluated by western blot. Memory was assessed using the Novel Object Recognition Task. RESULT: MDP induced a switch from classical (LyChigh) to patrolling monocytes (Ly6Clow), suggesting enhanced AB clearance, an effect that was absent in our NOD2 KO mice. Dex treatments significantly increased ABCB1 and LRP-1 expression in APP/PS1 mice, suggesting improved AB efflux across the blood-brain barrier (BBB). Notably, the combination of MDP and Dex resulted in a synergistic effect, significantly enhancing transporter expression and delaying memory decline in APP/PS1 mice. CONCLUSION: These findings highlight NOD2 as a promising therapeutic target for modulating innate immune responses to enhance AB clearance. Additionally, the combination of NOD2 activation and glucocorticoids offers a novel dual approach to AD and CAA treatments by promoting both immune and BBB-mediated clearance of AB while reducing inflammation.
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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 | 0.001 |
| 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".