Evidence map›Paper›PMID 40427428›Full record

ArticleAntioxidants (Basel, Switzerland)2025

Identification of Food-Derived Electrophilic Chalcones as Nrf2 Activators Using Comprehensive Virtual Screening Techniques.

Bingyu Bai, Piaohan Tu, Jiayi Weng, Yan Zhang, Quan Lin, Mitchell N Muskat, Jie Wang, Xue Tang, Xiangrong Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Bingyu BaiSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Piaohan TuSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Jiayi WengSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Yan ZhangSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Quan LinSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Mitchell N MuskatMichigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-7095-8095
Jie WangSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Xue TangSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.ORCID 0000-0003-3249-9953
Xiangrong ChengSchool of Food Science and Technology, Jiangnan University, Wuxi 214122, China.

Funding

National Natural Science Foundation of China 31700301
6 · The paper itself

Abstract

Electrophilic compounds are bioactive components commonly found in foods that are capable of covalently modifying nucleophilic sites on biologically functional macromolecules. These compounds may elicit positive bioactivity or negative biotoxicity, posing significant challenges in terms of time and resource expenditure in the de novo characterization of their biological activity. In this study, we developed a database of 332 food-derived electrophilic compounds and used a semi-supervised k-nearest neighbors (KNN) machine learning model to predict their bioactivity. Molecular docking analysis identified the three chalcone compounds with the highest potential positive activity-4-hydroxyderricin (4HD), isoliquiritigenin (ISO), and butein. Furthermore, in cell experiments, treatment with 4HD, ISO, and butein significantly reduced reactive oxygen species (ROS) levels. An RT-qPCR analysis demonstrated that these chalcones significantly upregulated the mRNA expression of

Indexed as

chalconeselectrophilic compoundsmachine learningmolecular dockingNrf2 activators

Identifiers

PMID40427428
PMCPMC12108417

What Socratic holds

Textmetadata
LicenceCC BY
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.