Evidence map›Paper›PMID 42783794›Full record

ArticleMetabolites2026

Wheat Bran Stir-Frying Reshapes the Metabolome of

Panpan Li, Yaojia Zou, Yinghao Mao, Fan Ye, Tao Luo

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Panpan LiCollege of Life Science, Jiangxi Science & Technology Normal University, Nanchang 330013, China.
Yaojia ZouCollege of Life Science, Jiangxi Science & Technology Normal University, Nanchang 330013, China.
Yinghao MaoCollege of Life Science, Jiangxi Science & Technology Normal University, Nanchang 330013, China.
Fan YeCollege of Life Science, Jiangxi Science & Technology Normal University, Nanchang 330013, China.
Tao LuoCollege of Life Science, Jiangxi Science & Technology Normal University, Nanchang 330013, China.ORCID 0009-0005-6274-9679

Funding

National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
Education Department of Jiangxi Province GJJ2201310National Natural Science Foundation of China 31960597NIDDK NIH HHS U2C DK119886NIH HHS OT2 OD030544
6 · The paper itself

Abstract

background

methodsAn integrated strategy combining UPLC-MS/MS-based metabolomics, network pharmacology, and molecular docking was employed. First, differential metabolites between raw and processed Euryales Semen were identified and quantified. Second, a "metabolite-target-disease" network was constructed to predict core targets and pathways. The docking protocol was validated by re-docking of co-crystallized ligands, with all RMSD values below 2.0 Å. Finally, molecular docking was used to predict the binding interactions between key metabolites and potential protein targets.

resultsA total of 1597 metabolites were identified, and 244 were defined as differentially expressed (VIP > 1, |log2(FC)| ≥ 1). Processing significantly upregulated 19 of the 22 key metabolites identified, with Urolithin B showing the most dramatic increase (168-fold), which was identified with Level 1 confidence using an authentic standard. Network pharmacology analysis identified 10 core targets (e.g., MMP2, MMP9, AKR1B1) primarily associated with tumors, diabetes, and other chronic diseases. Molecular docking predicted strong binding affinities (<-9.0 kcal·mol

conclusionsThis study suggests that wheat bran stir-frying fundamentally reshapes the metabolic profile of Euryales Semen, leading to the enrichment of bioactive metabolites (e.g., Urolithin B) and suggesting a potential for enhanced tonifying, anti-tumor, and anti-diabetic activities that warrants further experimental investigation. The dramatic increase in the content of Urolithin B, a metabolite not commonly found in plants, raises the hypothesis of a processing-induced chemical transformation, which warrants further experimental validation, and highlights its potential as a critical component for the herb's efficacy. The findings offer a preliminary computational basis for understanding traditional processing practices, linking traditional knowledge with modern scientific evidence.

Indexed as

Euryale feroxmetabolitesmolecular dockingnetwork pharmacologyprocessingspleen and kidney tonifyingUrolithin B

Identifiers

PMID42783794
PMCPMC13609870

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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.