Evidence map›Paper›PMID 42324743›Full record

ArticleClinical and translational science2026

Benzbromarone as a Novel Candidate for Preventing Alzheimer's Disease: Evidence From Real-World Data Screening and in Vitro Validation.

Sho Sakagami, Yuya Yoshida, Shota Uemura, Taisei Kumamoto, Ryotaro Tsukamoto, Takumi Nishi, Shimpei Kawano, Kohei Fukuoka, Hanami Ino, Kengo Hamamura and 2 more

Abstract readValidation Study
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sho SakagamiDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Yuya YoshidaDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Shota UemuraDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Taisei KumamotoDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Ryotaro TsukamotoDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Takumi NishiDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Shimpei KawanoDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Kohei FukuokaDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Hanami InoDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Kengo HamamuraDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-9146-8554
Shigehiro OhdoDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Naoya MatsunagaDepartment of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-0004-4535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development for Alzheimer's disease (AD) remains challenging, with only a 0.4% success rate from Phase I trials to regulatory approval. Drug repositioning leverages existing approved drugs to identify promising drug alternatives, particularly when combined with real-world data (RWD) and target trial emulation. In this study, we comprehensively screened 1,241 approved drugs using a large-scale Japanese claims database (n = 2,090,465; 2005-2023). We identified patients newly prescribed a study drug and applied an active-comparator, new-user design. We used propensity score-based inverse probability of treatment weighting (IPTW) to balance the covariates. The primary outcome was incident AD, defined using ICD-10 codes (F00 and G30). We estimated cumulative incidence using IPTW-adjusted Kaplan-Meier analysis and Cox proportional hazards models and conducted sensitivity analyses using Fine-Gray competing risk models, empirical calibration with negative control outcomes, and E-value estimation. We performed in vitro validation using Aβ-Tet-ON SH-SY5Y cells and quantified Aβ expression using western blotting. Benzbromarone, a uricosuric agent, was associated with a decreased risk of AD onset (adjusted HR: 0.54, 95% CI: 0.41-0.71, p < 0.05 post-FDR correction); this association remained robust across sensitivity analyses. In vitro, benzbromarone reduced Aβ protein expression in SH-SY5Y cells in a dose-dependent manner, even following transcriptional blockade, suggesting a posttranscriptional regulatory mechanism. In conclusion, using a combined approach of RWD-based pharmacoepidemiology and in vitro validation, we identified benzbromarone as a novel candidate potentially associated with reduced AD risk. Our findings highlight the potential of drug repositioning strategies to accelerate AD drug discovery, promoting further mechanistic and clinical investigations.

Indexed as

Alzheimer DiseaseBenzbromaroneDrug RepositioningUricosuric AgentsAgedAged, 80 and overAmyloid beta-PeptidesCell Line, TumorFemaleHumansIncidenceJapanMaleAmyloid beta-PeptidesBenzbromaroneUricosuric AgentsAlzheimer's diseaseamyloid‐βbenzbromaronedrug repositioningreal‐world datatarget trial emulation

Identifiers

PMID42324743
PMCPMC13284278

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.