Evidence map›Paper›PMID 40227198›Full record

ArticleAntioxidants (Basel, Switzerland)2025

Identifying Baicalein as a Key Bioactive Compound in XueBiJing Targeting KEAP1: Implications for Antioxidant Effects.

Ting-Syuan Lin, Xiao-Xuan Cai, Yi-Bing Wang, Jia-Tong Xu, Ji-Han Xiao, Hsi-Yuan Huang, Shang-Fu Li, Kun-Meng Liu, Ji-Hang Chen, Li-Ping Li and 8 more

Abstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. International journal of molecular sciences · 2026
    Review
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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

18 authors.

Ting-Syuan LinSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.ORCID 0000-0002-7274-4100
Xiao-Xuan CaiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Yi-Bing WangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Jia-Tong XuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Ji-Han XiaoSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Hsi-Yuan HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.ORCID 0000-0001-8453-4939
Shang-Fu LiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Kun-Meng LiuCenter for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China.
Ji-Hang ChenSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Li-Ping LiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Jie NiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Yi-Gang ChenSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Zi-Hao ZhuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Jing LiSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Yuan-Jia HuState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China.
Hsien-Da HuangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.
Hua-Li ZuoSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.ORCID 0000-0002-0359-2481
Yang-Chi-Dung LinSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China.

Funding

2023 The Second Affiliated Hospital of the Chinese University of Hong Kong, Shenzhen Joint Fund Project HUUF-MS-202306, HUUF-MS-202308, HUUF-MS-202309Better Way Group - Chinese University of Hong Kong (Shenzhen) Warshel Joint Laboratory for skin health and active molecule innovation 2024E0087CUHK(SZ) GeneBioHealth Advanced Molecular Diagnostics Laboratory 2024E0088CUHK(SZ) HOMEY HEALTH Microbiome and EndoMetabolic Digital Health Research Center 2024E0049Guangdong S&T programme 2024A0505050001, 2024A0505050002Guangdong Young Scholar Development Fund of Shenzhen Ganghong Group Co., Ltd. 2021E0005, 2022E0035Key Program of Guangdong Basic and Applied Basic Research Fund Guangdong-Shenzhen Joint Fund: 2020B1515120069Phase III Government Matching Fund of Shenzhen Ganghong Group Co., Ltd. 2023E0012Shenzhen Fundamental Research Program JCYJ20210324121201004Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation HZQB-KCZYB-2020056, P2-2022-HDH-001-AShenzhen Science and Technology Program JCYJ20220530143615035The National Natural Science Foundation of China 32070674The Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District LGKCSDPT2024001
6 · The paper itself

Abstract

backgroundXueBiJing injection (XBJ) is renowned for its multi-target pharmacological effects, including immunomodulatory, antithrombotic, and antioxidant activities, offering potential therapeutic benefits for patients with severe infections such as sepsis and Coronavirus disease 2019 (COVID-19). Despite its clinical effectiveness, the molecular targets and mechanisms of XBJ remain unclear, warranting further investigation. PURPOSE: This study aimed to identify the key bioactive compounds in XBJ and elucidate their molecular targets and mechanisms.

methodsThe zebrafish model was first used to evaluate the anti-inflammatory and antioxidant effects of XBJ, and the differentially expressed genes (DEGs) were identified by RNA sequencing and network analysis. Network pharmacology was used to analyze the relationship between bioactive compounds and molecular targets, and molecular docking and kinetic simulation were used to explore the target binding ability of key compounds. Cellular Thermal Shift Assay-Western Blot (CETSA-WB) and Surface Plasmon Resonance (SPR) further verified the interaction between compounds and targets; finally, the key pathways were confirmed by gene silencing experiments.

resultsThe zebrafish model results reveal that XBJ significantly reduced neutrophil and macrophage counts in a dose-dependent manner, emphasizing its potent anti-inflammatory effects. A transcriptomic analysis highlighted the differential expression of key genes in the KEAP1/NRF2 pathway, including

conclusionThese findings collectively establish baicalein as a critical bioactive compound in XBJ, driving its antioxidant and anti-inflammatory effects via KEAP1/NRF2 pathway activation through direct binding to KEAP1, providing new insights into the mechanism of action of XBJ.

Indexed as

baicaleinnetwork pharmacologyNRF2/KEAP1 pathwayoxidative stresstarget identificationXueBiJing injection

Identifiers

PMID40227198
PMCPMC11939276

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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.