Evidence map›Paper›PMID 41053833›Full record

ArticleChinese medicine2025

Discovery of an AKT1-targeting compound from a traditional herbal formula for alcoholic liver disease via integrative computational and experimental approaches.

Shuxuan Yang, Caiting Zou, Dexian Li, Jingxin Lin, Qinghong Chen, Meilin Chen, Chuanghai Wu, Andrew Hung, Yanyan Liu, Xiaomin Sun and 3 more

Abstract read
In one paragraph

Article in Chinese medicine, 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

13 authors.

Shuxuan Yang *School of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Caiting Zou *School of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Dexian Li *School of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Jingxin LinSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Qinghong ChenSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Meilin ChenSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Chuanghai WuSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Andrew HungSchool of Science, STEM College, RMIT University, Melbourne, VIC, 3000, Australia.
Yanyan LiuSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Xiaomin SunSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Hong LiSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China. gdsyiceman@smu.edu.cn.ORCID http://orcid.org/0000-0002-3874-4860
Qi WangDepartment of Traditional Chinese Medicine, National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment, Beijing University of Chinese Medicine, Beijing, 100029, China. wangqi710@126.com.
Xiaoshan ZhaoSchool of Traditional Chinese Medicine, Southern Medical University, No.1023 South Shatai Road, Baiyun District, Guangzhou, 510515, Guangdong, China. zhaoxs@smu.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515110082Guangzhou Science and Technology Plan Project 2024B03J1343Joint Funds of National Natural Science Foundation of China U22A20365National Natural Science Foundation of China 82204812National Natural Science Foundation of China 82274499The Major scientific and technological project of Guangzhou Municipal Health Commission 20252D003
6 · The paper itself

Abstract

backgroundAlcoholic liver disease (ALD) poses a major global health challenge, with limited effective interventions. The Dampness-Heat Regulating Formula (DRF), a traditional Chinese herbal tea composed of nine edible medicinal herbs, has shown promise in mitigating alcohol-induced liver injury. This study aimed to identify its core active components and elucidate underlying mechanisms.

methodsActive compounds were retrieved from multiple databases and screened using chemical similarity, target prediction, and ADMET filtering. Disease-related targets were identified through public transcriptomic datasets. Three machine learning algorithms-random forest, support vector machine, and LASSO-were used to prioritize therapeutic targets. High-throughput molecular docking and virtual screening were combined with untargeted metabolomics to identify candidate compounds. The interaction between oleanolic acid (OA) and AKT1 was further verified by cellular thermal shift assay (CESTA). In vitro and in vivo assays were conducted to validate hepatoprotective effects. Additionally, the content of OA in DRF was quantified by HPLC to assess the relevance of experimental dosing.

resultsA total of 690 candidate compounds and 33 ALD-associated targets were identified. AKT1 emerged as the top-ranked hub target. OA showed strong binding affinity to AKT1, and CESTA confirmed their direct interaction. Functional assays demonstrated that OA alleviated ethanol-induced damage in hepatocytes and zebrafish models. HPLC analysis confirmed that DRF contained physiologically relevant concentrations of OA, supporting the translational relevance of the selected doses.

conclusionThis study reveals a potential AKT1-centered mechanism through which DRF protects against ALD and identifies oleanolic acid as a bioactive compound with dual computational and experimental validation. It offers a scientific basis for integrating traditional herbal formulas with modern drug discovery approaches in the prevention of alcohol-related liver injury.

Indexed as

Computer-aided drug designIn silicoMetabolomic profilingMolecular dockingNatural product therapyTraditional herbal medicine

Identifiers

PMID41053833
PMCPMC12502445

What OpenQuestion holds

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LicenceCC BY
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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.