Evidence mapPaperPMID 39730994Full record

ArticleMolecular medicine (Cambridge, Mass.)2024

Bioinformatics based exploration of the anti-NAFLD mechanism of Wang's empirical formula via TLR4/NF-κB/COX2 pathway.

Suhong Chen, Chuanjie Zhou, Jiahui Huang, Yunlong Qiao, Ning Wang, Yuzhen Huang, Bo Li, Wanfeng Xu, Xinglishang He, Kungen Wang and 3 more

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Suhong Chen *Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Chuanjie Zhou *Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Jiahui Huang *Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Yunlong Qiao *Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Ning WangCollaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Yuzhen HuangCollaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Bo LiCollaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Wanfeng XuCollaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Xinglishang HeCollaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, 310014, Zhejiang, China.
Kungen WangDisease Prevention and Health Management Center, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006, Zhejiang, China. wkg1220@163.com.
Yihui ZhiDisease Prevention and Health Management Center, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006, Zhejiang, China. medcat4@163.com.
Guiyuan LvCollege of Pharmaceutical Science, Zhejiang Chinese Medical University, No. 548, Binwen Road, Biniang District, Hangzhou, 310053, Zhejiang, China. zjtcmLgy@163.com.
Shuhua ShenDisease Prevention and Health Management Center, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006, Zhejiang, China. linda0358@163.com.

Funding

Key Research and Development Program of Zhejiang Province 2020C04020National Key Research and Development Plan 2017YFC1702200National Key Research and Development Plan 2017YFC1702202National Natural Science Foundation of China 81503527National Natural Science Foundation of China 82274134Science and Technology Department of the State Administration of Traditional Chinese Medicine-Zhejiang Province Joint Project GZY-ZJ-KJ-24068
6 · The paper itself

Abstract

backgroundNonalcoholic fatty liver disease (NAFLD) has developed as a leading public wellness challenge as a result of changes in dietary patterns. Unfortunately, there is still a lack of effective pharmacotherapy methods for NAFLD. Wang's empirical formula (WSF) has demonstrated considerable clinical efficacy in treating metabolic disorders for years. Nevertheless, the protective effect of WSF against NAFLD and its underlying mechanism remains poorly understood.

methodsThe NAFLD model was established using a 17-week high-sucrose and high-fat (HSHF) diet with 32 ICR mice. In assessing the therapeutic efficacy of WSF on NAFLD, we detected changes in body weight, viscera weight, biomarkers of glycolipid metabolism in serum and liver, transaminase levels and histopathology of liver with H&E and Oil Red O staining after oral administration. The chemical components in WSF were extensively identified and gathered utilizing the HPLC-Q-TOF/MS system, database mining from HMDB, MassBank, and TCMSP databases, alongside literature searches from CNKI, Wanfang and VIP databases. The forecast of network pharmacology approach was then utilized to investigate the probable mechanisms by which WSF improves NAFLD based on the performance of prospective target identification and pathway enrichment analysis. Besides, molecular docking was also conducted for the verification of combination activities between active components of WSF and core proteins related to NAFLD. In final, validation experiments of obtained pathways were conducted through ELISA, immunohistochemistry (IHC), and western blot (WB) analysis.

resultsPharmacodynamic outcomes indicated that WSF intervention effectively mitigated obesity, fat accumulation in organs, lipid metabolism disorders, abnormal transaminase levels and liver pathology injury in NAFLD mice (P < 0.05, 0.01). A total of 72 existent ingredients of WSF were acquired by HPLC-Q-TOF/MS and database, and 254 common targets (11.6% in total targets) of NAFLD and WSF were identified. Network pharmacology revealed that WSF presses NAFLD via modulating TNF, IL6, AKT1, IL1B, PTGS2 (COX2), and other targets, and the probable pathways were primarily inflammatory signaling pathways, as confirmed by molecular docking. Molecular biology experiments further conformed that WSF could decrease levels of inflammatory factors like IL-1β, IL-6 and TNF-α (P < 0.01) and expression of TLR4, NF-κB and COX-2 (P < 0.05, 0.01) in the liver.

conclusionWSF treatment effectively protects against lipid metabolism disorders and liver inflammation injury in HSHF diet-induced NAFLD mice, and its molecular mechanism might be via suppressing the TLR4/NF-κB/COX-2 inflammatory pathway to reduce the release of inflammatory cytokines in the liver.

Indexed as

Computational BiologyCyclooxygenase 2Drugs, Chinese HerbalNF-kappa BNon-alcoholic Fatty Liver DiseaseSignal TransductionToll-Like Receptor 4AnimalsDiet, High-FatDisease Models, AnimalLiverMaleMiceMolecular Docking SimulationCyclooxygenase 2Drugs, Chinese HerbalNF-kappa BToll-Like Receptor 4BioinformaticsHPLC-Q-TOF/MSLiver inflammationNetwork pharmacologyNonalcoholic fatty liver diseaseWang’s empirical formula

Identifiers

PMID39730994
PMCPMC11673956

What Socratic holds

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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 Socratic graph.