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Record W4226139599 · doi:10.1016/j.isci.2022.104274

Dapsone is an anticatalysis for Alzheimer’s disease exacerbation

2022· article· en· W4226139599 on OpenAlexaff
Jong‐Hoon Lee, Badar Kanwar, Chul Joong Lee, Consolato Sergi, Michael D. Coleman

Bibliographic record

VenueiScience · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSphingolipid Metabolism and Signaling
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersCenter for Preparedness and ResponseSorokdo National HospitalMinistry of Health and Welfare
KeywordsDapsoneMedicineExacerbationDiseasePharmacologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.293
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2022
Admission routes1
Has abstractyes

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