Evidence map›Paper›PMID 40346591›Full record

ArticleChinese medicine2025

Sanhuang Xiexin Decoction ameliorates lipid disorders in obese mice via inducing browning of white adipose tissue and activating brown adipose tissue.

Zhiqi Huang, Ziyang Zhao, Haonan Shi, Runcheng He, Qianqian Feng, Yang Geng, Lei Zhang, Ti Zhang, Zhenteng Yan, Zhanhong Jia and 5 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

15 authors.

Zhiqi Huang *School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Ziyang Zhao *School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Haonan Shi *School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Runcheng HeSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Qianqian FengSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Yang GengSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Lei ZhangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Ti ZhangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Zhenteng YanSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Zhanhong JiaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Yanyan JiangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Jianning SunSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Ang CaiDepartment of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, Kingston, RI, USA.
Shifen DongSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China. dongshifen@bucm.edu.cn.ORCID http://orcid.org/0000-0002-2194-8541
Lin YangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China. yanglin9909@sina.com.

Funding

National Natural Science Foundation of China 81503287Natural Science Foundation of Beijing Municipality 7144222Natural Science Foundation of Beijing Municipality 7174312Natural Science Foundation of Beijing Municipality 7232287
6 · The paper itself

Abstract

backgroundObesity has become a critical public health challenge worldwide. Prioritizing prevention and tackling root causes-rather than merely managing symptoms-is critical to curbing this pandemic. Strategies that activate and expand brown adipose tissue and beige adipose tissue increase energy expenditure in animal models and offer therapeutic promise to treat obesity. Sanhuang Xiexin Decoction (SHX) is a well-known traditional Chinese medicine that possesses several beneficial effects, including anti-inflammatory and anti-atherosclerotic properties. This study aims to investigate whether SHX can alleviate obesity by promoting the browning process in adipose tissue.

methodsUPLC MS/MS was used to detect the constituents of SHX extraction, as well as the absorbed components of SHX in rat plasma. In vivo, C57BL/6 J mice were fed with 60% calorie high-fat diet for 8 weeks to induce obesity. 3T3-L1 white adipocyte and HIB-1B brown adipocyte were cultured. Parameters of body weight, food intake, Lee's index, skin temperature, adipose tissue mass, and blood glucose and lipids of mice were detected. The histological features of BAT and iWAT were observed by H&E staining, and the protein expression of UCP1 in adipose tissue was detected by immunohistochemistry method, and the UCP1 protein expression of 3T3-L1 and HIB-1B cells was tested using immunofluorescence staining. Gene expression of browning markers (e.g. Ucp1, Pgc1α, Prdm16, Cidea, Cd137, Tbx1, and Tmem26), fatty acid oxidation factors (e.g. Cpt-1β, Cyto-c, and Fatp1) and mitochondrial biogenic transcription factors (e.g. Nrf1, Nrf2, and Tfam) of adipose tissue, 3T3-L1 and HIB-1B cells was detected using qRT-PCR method.

resultsA total of 58 chemical components of Sanhuang Xiexin Decoction were identified by UPLC-LTQ-Orbitrap-MS

conclusionsOur study suggested that Sanhuang Xiexin Decoction could be used as a potential therapeutic candidate for the treatment of obesity and its complications by inducing browning of white adipose tissue and activating brown adipose tissue.

Indexed as

3T3-L1 white adipocyteAdipose plasticityHIB-1B brown adipocyteObesitySanhuang Xiexin Decoction

Identifiers

PMID40346591
PMCPMC12065319

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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.