Evidence map›Paper›PMID 41706265›Full record

ArticleCardiovascular drugs and therapy2026

Protective Effects of Jiawei Baihu Tang in Kawasaki Disease: Omics Analysis and Mechanistic Exploration.

Jin Ma, Xiudao Song, Xuan Li, Yunjia Tang, Haitao Lv, Yexing Chen, Peng Cao

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jin MaState Key Laboratory of Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, No. 138 Xianlin Street, Jiangsu, Nanjing, China.ORCID 0000-0003-2919-5457
Xiudao SongTraditional Chinese Medicine Technology Transfer Center, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangsu, Suzhou, China.ORCID 0000-0003-1615-7996
Xuan LiDepartment of Cardiology, Children's Hospital of Soochow University, Jiangsu, Suzhou, China.ORCID 0000-0002-1510-0106
Yunjia TangDepartment of Cardiology, Children's Hospital of Soochow University, Jiangsu, Suzhou, China.ORCID 0000-0002-3375-1340
Haitao LvDepartment of Cardiology, Children's Hospital of Soochow University, Jiangsu, Suzhou, China.ORCID 0000-0002-1593-3538
Yexing ChenState Key Laboratory of Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, No. 138 Xianlin Street, Jiangsu, Nanjing, China.ORCID 0009-0000-9139-0988
Peng CaoState Key Laboratory of Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, No. 138 Xianlin Street, Jiangsu, Nanjing, China. cao_peng@njucm.edu.cn.ORCID 0000-0002-2044-3074

Funding

Gusu Health Talent Project GSWS2024093the National Key R&D Program of China 2023YFC2308200
6 · The paper itself

Abstract

purposeKawasaki disease (KD) is classified as a "WenBing" syndrome in traditional Chinese medicine (TCM), characterized by systemic inflammation and vasculitis. Jiawei Baihu Tang (JWBHT) is an optimized herbal formulation derived from the classical Baihu Tang (BHT), a renowned ancient TCM prescription traditionally used to treat WenBing syndromes by clearing heat, reducing fever, and promoting body fluid production. However, the precise pharmacological mechanisms underlying JWBHT's intervention effects remain largely unexplored. We aimed to assess the protective effects of JWBHT on coronary artery inflammation in mice with KD and explore the underlying mechanisms, with a focus on the lipocalin-2/matrix metalloproteinase 9 (LCN2/MMP9) axis in vascular remodeling.

methodsHistopathological analysis, multiplex immunofluorescence, data-independent acquisition (DIA) proteomics, and non-targeted metabolomics were employed to comprehensively measure the effects of JWBHT on coronary artery injury. The experiments were conducted using a Candida albicans water-soluble fraction (CAWS)-induced murine model of KD vasculitis. Multi-omics integration also revealed the role of JWBHT in regulating extracellular matrix (ECM)-receptor interaction and enhancing α-linolenic acid metabolism.

resultsJWBHT significantly alleviated coronary arteritis by reducing inflammatory cell infiltration, preserving ECM integrity, and alleviating fibrosis. Multi-omics analysis indicated that JWBHT regulated ECM-receptor interaction and restored lipid metabolism, particularly α-linolenic acid metabolism, which was closely linked to ECM stabilization. Mechanistically, JWBHT suppressed the LCN2/MMP9 axis, a critical mediator of vascular remodeling. Validation based on the clinical dataset revealed elevated levels of LCN2/MMP9 in patients with acute KD, which were normalized after treatment.

conclusionFor the first time, this study unveiled the multi-target mode of action of JWBHT in KD through the crosstalk between ECM and lipid metabolism, and LCN2 was identified as a potential novel intervention target. Our findings suggest that JWBHT is a promising traditional Chinese medicine for preventing the cardiovascular complications of KD.

Indexed as

Anti-Inflammatory AgentsCoronary VesselsDrugs, Chinese HerbalMucocutaneous Lymph Node SyndromeAnimalsDisease Models, AnimalHumansLipocalin-2MaleMatrix Metalloproteinase 9MetabolomicsMiceMice, Inbred C57BLMultiomicsProteomicsVascular RemodelingAnti-Inflammatory AgentsDrugs, Chinese HerbalLcn2 protein, mouseLipocalin-2Matrix Metalloproteinase 9Mmp9 protein, mouseECMJiawei Baihu TangKawasaki diseaseLCN2Lipid metabolism

Identifiers

PMID41706265
PMCPMC13388342

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.