Evidence map›Paper›PMID 35672755›Full record

ArticleBMC complementary medicine and therapies2022

Network pharmacology and in vivo experiments reveal the pharmacological effects and molecular mechanisms of Simiao Powder in prevention and treatment for gout.

Huachong Xu, Jialin Wu, Shiqi Wang, Lu Xu, Pei Liu, Yucong Shi, Sizhi Wu, Li Deng, Xiaoyin Chen

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 28 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Huachong Xu *College of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Jialin Wu *College of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Shiqi WangCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Lu XuCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Pei LiuCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Yucong ShiCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Sizhi WuCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Li DengCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China. dengli@jnu.edu.cn.
Xiaoyin ChenCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China. tchenxiaoyin@jnu.edu.cn.
Jinan University · CN

Funding

China Postdoctoral Science Foundation No.2020M683206National Natural Science Foundation of China No. 81830114National Natural Science Foundation of China No. 82104707Natural Science Foundation of Guangdong Province No. 2020A1515010756
6 · The paper itself

Abstract

backgroundGout is a common disease with high incidence due to unhealthy diet and living habits. Simiao Powder, as a classic formula consisted of four common herbs, has been widely used in clinical practice since ancient times to prevent and treat gout. However, the pharmacological mechanism of Simiao Powder is still unclear.

methodsBased on network pharmacology, Simiao Powder active compounds were identified in TCMSP, ETCM and BATMAN database, used to establish a network of interaction between potential targets of Simiao Powder and known therapeutic targets of gout. Subsequently, the key potential targets are being used for protein-protein interaction, GO enrichment analysis and KEGG pathway enrichment analysis through several authoritative open databases. Molecular docking through AutoDockTools software can verify interaction between molecules. Finally, to validate the predicted results, in vivo experiments based on hyperuricemic-gout mice model were designed and treated with Simiao powder and allopurinol. Serum levels of uric acid (UA), creatinine (Cr), blood urea nitrogen (BUN) and xanthine oxidase (XOD) were determined using a customized assay kit while the expression of PPAR-γ, PTGS1, IL-6 and Bcl2 mRNA were analyzed through qRT-PCR.

resultsDisease-target-compound network was visualized basing on the 20 bioactive compounds and the 19 potential targets using Cytoscape software. The results of PPI analysis, GO enrichment and KEGG pathway enrichment analysis indicate that the potential mechanism of Simiao Powder in treating gout may be achieved by regulating immune and inflammatory reactions, improving metabolism and endocrine. The results of molecular docking show that most of the targets and components have good binding activity. In vivo experiments revealed that Simiao powder can decreased serum UA and XOD levels in hyperuricemic-gout mice, and improved renal function. Furthermore, Simiao powder certainly regulates the expression of PPAR-γ, PTGS1, IL-6 and Bcl2 mRNA in ankle tissue in hyperuricemic-gout mice.

conclusionCollectively, this research predicted a multiple compounds, targets, and pathways model mechanism of Simiao Powder in the prevention and treatment of gout, providing new ideas and methods for in-depth research, via vivo experiments.

Indexed as

Arthritis, GoutyDrugs, Chinese HerbalGoutAnimalsInterleukin-6Medicine, Chinese TraditionalMiceMolecular Docking SimulationNetwork PharmacologyPeroxisome Proliferator-Activated ReceptorsPowdersProto-Oncogene Proteins c-bcl-2RNA, MessengerDrugs, Chinese HerbalInterleukin-6Peroxisome Proliferator-Activated ReceptorsPowdersProto-Oncogene Proteins c-bcl-2RNA, MessengerGoutNetwork pharmacologySimiao PowderTraditional Chinese medicine

Identifiers

PMID35672755
PMCPMC9175488
OpenAlexW4281697714

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.