Evidence map›Paper›PMID 40615672›Full record

ArticleCommunications chemistry2025

Structure-based discovery of forsythoside A as an effective inhibitor to reduce the neurotoxicity of amyloid β.

Si-Cong Bai, Ye-Cheng Wang, Wei-Lin Ye, Sheng-Yen Wu, Lee Jia, Liu Hong, Huan-Zhang Xie, Gao Li

Abstract read
In one paragraph

Article in Communications chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Si-Cong Bai *Fuzhou Institute of Oceanography, College of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, China.
Ye-Cheng Wang *Fuzhou Institute of Oceanography, College of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, China.
Wei-Lin YeFuzhou Institute of Oceanography, College of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, China.
Sheng-Yen WuCollege of Plant protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Lee JiaThe First Affiliated Hospital, Henan University, Kaifeng, Henan, China. cmapcjia1234@163.com.
Liu HongSchool of Mathematics, Sun Yat-sen University, Guangzhou, China. hongliu@sysu.edu.cn.ORCID http://orcid.org/0000-0002-4040-4005
Huan-Zhang XieFuzhou Institute of Oceanography, College of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, China. gxdym01@163.com.
Gao LiFuzhou Institute of Oceanography, College of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, China. ligao2019@mail.mju.edu.cn.ORCID http://orcid.org/0000-0001-8157-5479

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22007044National Natural Science Foundation of China (National Science Foundation of China) 81773063National Natural Science Foundation of China (National Science Foundation of China) 81961138017Natural Science Foundation of Fujian Province (Fujian Provincial Natural Science Foundation) 2020J01864Natural Science Foundation of Fujian Province (Fujian Provincial Natural Science Foundation) 2022J011117
6 · The paper itself

Abstract

Abnormal amyloid beta (Aβ) aggregation is a key factor in Alzheimer's disease (AD) pathology. Despite efforts to develop Aβ aggregation inhibitors, efficient screening strategies remain limited. Here, we initially applied structure-based virtual screening to target Aβ fibril ends, aiming to identify compounds that could effectively combat AD neurodegeneration. Using this approach, we screened a traditional Chinese medicine library with thousands of compounds, and selected high-scoring hits likely to inhibit fibril elongation or promote fibril depolymerization. Forsythoside A emerged as the most potent inhibitor, effectively reducing Aβ

Identifiers

PMID40615672
PMCPMC12227570

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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.