Evidence map›Paper›PMID 38926328›Full record

ArticleJournal of natural medicines2024

Di-caffeoylquinic acid: a potential inhibitor for amyloid-beta aggregation.

Yue Sun, Xue Wang, Xiaoyu Zhang, Yan Li, Dongdong Wang, Feng Sun, Cunli Wang, Zhenqiang Shi, Xindi Yang, Zhiying Yang and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of natural medicines, 2024. 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. Anti-Amyloid Aggregation Effects of Gobaishi (Molecules (Basel, Switzerland) · 2025
    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

13 authors.

Yue Sun *College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China.
Xue Wang *Shandong Dongyue Polymer Materials Co., Ltd, Shandong, 256400, China.
Xiaoyu ZhangState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China. zhangxiaoyu@dicp.ac.cn.
Yan LiCollege of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China.
Dongdong WangState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Feng SunCollege of Life Science, Liaoning Normal University, Dalian, 116081, China.
Cunli WangState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Zhenqiang ShiState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Xindi YangState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Zhiying YangState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Haijie WeiState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China.
Yanling SongCollege of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China. yanlingsong521@126.com.
Guangyan QingState Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, National Chromatographic R. & A. Center, Chinese Academy of Sciences, Dalian, 116023, China. qinggy@dicp.ac.cn.ORCID http://orcid.org/0000-0002-4888-9318

Funding

Dalian Outstanding Young Scientific Talent 2020RJ01DICP Innovation Funding DICPI202243DICP Innovation Funding I202229National Key R&D Program of China 2022YFC3400800National Natural Science Foundation of China 21922411National Natural Science Foundation of China 22174138
6 · The paper itself

Abstract

Alzheimer's disease (AD) remains a challenging neurodegenerative disorder with limited therapeutic success. Traditional Chinese Medicine (TCM), as a promising new source for AD, still requires further exploration to understand its complex components and mechanisms. Here, focused on addressing Aβ (1-40) aggregation, a hallmark of AD pathology, we employed a Thioflavin T fluorescence labeling method for screening the active molecular library of TCM which we established. Among the eight identified, 1,3-di-caffeoylquinic acid emerged as the most promising, exhibiting a robust binding affinity with a KD value of 26.7 nM. This study delves into the molecular intricacies by utilizing advanced techniques, including two-dimensional (2D)

Indexed as

Amyloid beta-PeptidesMolecular Docking SimulationQuinic AcidAlzheimer DiseaseHumansPeptide FragmentsProtein AggregatesAmyloid beta-Peptidesamyloid beta-protein (1-40)caffeoylquinic acidPeptide FragmentsProtein AggregatesQuinic AcidAlzheimer’s diseaseAmyloid-beta aggregationdi-caffeoylquinic acid derivativesTraditional Chinese Medicine

Identifiers

PMID38926328

What Socratic holds

Textmetadata
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 Socratic graph.