Dapsone is an anticatalysis for Alzheimer’s disease exacerbation
Bibliographic record
Abstract
Brain inflammation generally accelerates neurodegeneration. Alzheimer's disease (AD) triggers an innate immune response by activating a cytosolic DNA sensor cyclic-GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) signaling pathway. Our study investigated patients with leprosy and AD. They were treated with dapsone (4,4'-diaminodiphenyl sulfone, DDS) as a neuroinflammasome competitor and cGAS/STING pathway inhibitor. Four groups were defined: Treatment (T) 1: DDS prescribed AD diagnosed, T 2: DDS prescribed AD undiagnosed, T 3 DDS unprescribed AD diagnosed, and T 4: DDS unprescribed AD undiagnosed. Dapsone effects on AD can be clearly distinguished according to dapsone presence or absence. T1:T3 proved that the incidence of AD was significantly reduced by dapsone. T2:T3 proved that the prevalence of AD was significantly high without dapsone. T1:T4 proved that the prevalence decreased when taking dapsone. Our study demonstrates that dapsone can prevent AD exacerbation and may represent a preventive therapeutic option for exacerbated AD.
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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 | 0.000 |
| 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".