Evidence map›Paper›PMID 42752992›Full record

ArticleBioMed research international2026

Bioinformatics-Driven Discovery of Aβ-Targeted Therapeutics and Diagnostic Biomarkers for Alzheimer's Disease.

Xin Li, Xuerong Liu, Xinran Song, Yinglian Zhou, Dan Yang, Yifei Wang, Senlin Mao, Xinming Rang, Xiangxiang Hong, Xu Wang and 3 more

Abstract read
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In one paragraph

Article in BioMed research international, 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

13 authors.

Xin LiDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xuerong LiuDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xinran SongDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Yinglian ZhouDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Dan YangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Yifei WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Senlin MaoDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xinming RangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xiangxiang HongDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xu WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Hui YueDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Duo WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.
Xuemei ZhangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China, hrbmush.edu.cn.ORCID https://orcid.org/0000-0002-7914-7448

Funding

Heilongjiang Provincial Natural Science Foundation LH2020H052
6 · The paper itself

Abstract

The deposition of amyloid-β (Aβ) plaque is widely recognized as one of the core pathological events of Alzheimer's disease (AD). This study focused on uncovering potential diagnostic biomarkers and small-molecule candidates potentially modulating Aβ-associated pathways in AD. Weighted gene coexpression network analysis (WGCNA) and machine learning identified the hub gene. Single-nucleus RNA sequencing (snRNA-seq) identified high-expression cell clusters. We identified potential Aβ-binding small-molecule candidates and calculated their binding affinities using molecular docking techniques. Based on molecular docking, we further evaluated the binding stability and conformational dynamics of the protein-ligand complex through molecular dynamics (MD) simulations. NFKBIA was identified as a hub diagnostic gene. Three small molecules, resveratrol, curcumin, and apigenin, demonstrated strong binding affinities for NFKBIA. These findings clarify the priority candidate gene and feasible strategic directions, which are expected to be translated into practical pathways for precision diagnosis and treatment of AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersComputational BiologyApigeninCurcuminGene Regulatory NetworksHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingResveratrolAmyloid beta-PeptidesApigeninBiomarkersCurcuminResveratrolAlzheimer′s diseaseamyloid-betarisk markerssmall molecule drugs

Identifiers

PMID42752992

What OpenQuestion 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 OpenQuestion graph.