Evidence map›Paper›PMID 42146614›Full record

ArticlebioRxiv : the preprint server for biology2026

Discovery of a CI-994 derivative as a dual modulator of class I HDACs and Wnt/β- catenin signaling for Alzheimer's disease therapy.

Wenyan Lu, Thomas R Caulfield, Eunmi Lee, Suren Jeevaratnam, Ni Wang, Guojun Bu, Takahisa Kanekiyo, Yonghe Li

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

8 authors.

Wenyan LuDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Thomas R CaulfieldDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Eunmi LeeDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Suren JeevaratnamDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Ni WangDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Guojun BuDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Takahisa KanekiyoDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Yonghe LiDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.

Funding

Discovery of apoE4 modulators for Alzheimer’s disease therapyR01AG078615 · NIA · MAYO CLINIC JACKSONVILLE · PI CHUNG, THOMAS D Y, LI, YONGHE · 2022 to 2025
$1.8M
Novel Wnt activators for Alzheimer's disease therapyR21AG065653 · NIA · MAYO CLINIC JACKSONVILLE · PI LI, YONGHE · 2020 to 2020
$430k
NIA NIH HHS R01 AG078615NIA NIH HHS R21 AG065653
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a multifactorial disease with mixed pathologies. Consequentially, drugs targeting multiple pathological processes may offer synergistic benefits. While histone deacetylase (HDAC) inhibitors have demonstrated efficacy in alleviating AD-related pathologies in animal models, the neuroprotective Wnt/β-catenin signaling pathway remains compromised in AD brain. CI-994 is a class I HDAC inhibitor containing N-(2-aminophenyl)-benzamide. Our recent studies indicate that CI-994 is also an activator of Wnt/β-catenin signaling by stabilizing Wnt co-receptor LRP6. We herein use CI-994 as a scaffold to develop novel potent dual modulators of class I HDACs and Wnt/β-catenin signaling for AD therapy. Our lead compound, W2A-28, selectively inhibits class I HDAC1, 2 and 3 with IC

Indexed as

Class I histone deacetylasesdual modulatorsiPSC-derived cerebral organoidstau phosphorylationWnt/β-catenin signaling

Identifiers

PMID42146614
PMCPMC13174339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.