Evidence map›Paper›PMID 38902425›Full record

ArticleScientific reports2024

Network pharmacological prediction of the mechanism of action of Shen-Zhu-Lian-Bai Decoction in the treatment of ulcerative colitis.

Li Zhu, Jinghua Liang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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

2 authors.

Li ZhuAnorectal Surgery, Shenzhen TCM Anorectal Hospital, Shenzhen, Guangdong, China. mzsrmyyzhuli@163.com.
Jinghua LiangAnorectal Surgery, Shenzhen TCM Anorectal Hospital, Shenzhen, Guangdong, China. liangjinghua0918@126.com.

Funding

2022 Scientific Research Project of Guangdong Provincial Bureau of Traditional Chinese Medicine 20221394
6 · The paper itself

Abstract

The incidence of ulcerative colitis (UC) is on the rise globally. Shen-Zhu-Lian-Bai decoction (SZLBD) can relieve the clinical symptoms of UC. This study aimed to investigate the underlying molecular mechanism of SZLBD in the treatment of UC. The key treatment targets of SZLBD for UC were obtained based on the online database, and combined with the STRING database and Cytoscape 3.7.2 software, PPI network was constructed and visualized. The GEO database was utilized to validate the expression levels of core targets in UC. Metascape database GO functional annotation and KEGG pathway enrichment analysis. Molecular docking technology was used to verify the docking of core compounds with key targets. RT-qPCR and Western Blot were used to detect the expression of key targets in HCoEpiC cells for verification. After screening, 67 targets shared by SZLBD and UC were obtained. It is predicted that IL-6, IL-1B, and AKT1 might be the key targets of SZLBD in the treatment of UC. Quercetin was the main active ingredient. GEO results showed that the expression levels of IL-6, IL-1B and AKT1 were higher in the UC group compared to the control group. GO and KEGG analyses showed that these targets were related to apoptosis and inflammation. The results of molecular docking demonstrated that the AKT1 gene, a key target of quercetin, had the highest affinity of -9.2 kcal/mol. Cell experiments found that quercetin could affect the expression of IL-6, IL-1B, and AKT1. This study preliminarily explored and verified the mechanism of action of SZLBD in the treatment of UC, which provides a theoretical basis for subsequent in vivo mechanism studies.

Indexed as

Colitis, UlcerativeDrugs, Chinese HerbalMolecular Docking SimulationNetwork PharmacologyProtein Interaction MapsProto-Oncogene Proteins c-aktHumansInterleukin-1betaInterleukin-6QuercetinAKT1 protein, humanDrugs, Chinese HerbalIL6 protein, humanInterleukin-1betaInterleukin-6Proto-Oncogene Proteins c-aktQuercetinCell experimentsMolecular dockingNetwork pharmacologicalShen-Zhu-Lian-Bai decoction (SZLBD)Ulcerative colitis

Identifiers

PMID38902425
PMCPMC11190269

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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.