Evidence map›Paper›PMID 32764874›Full record

ArticleDrug design, development and therapy2020

Network Pharmacology-Based Prediction and Verification of the Active Ingredients and Potential Targets of Zuojinwan for Treating Colorectal Cancer.

Siqi Huang, Zheyu Zhang, Wenqun Li, Fanhua Kong, Pengji Yi, Jianhua Huang, Dan Mao, Weijun Peng, Sifang Zhang

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 79 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 2 institutions in 1 country.

Siqi HuangDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.ORCID 0000-0002-4813-5073
Zheyu ZhangDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.ORCID 0000-0003-1352-2310
Wenqun LiDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.
Fanhua KongDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.ORCID 0000-0003-3126-2508
Pengji YiDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.ORCID 0000-0001-7708-6314
Jianhua HuangHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410013, People's Republic of China.
Dan MaoDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.
Weijun PengDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.ORCID 0000-0002-4506-0942
Sifang ZhangDepartment of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.
Central South University · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZuojinwan (ZJW), a famous Chinese medicine formula, has been widely used to treat colorectal cancer (CRC). However, its bioactive compounds, potential targets, and molecular mechanism remain largely elusive.

aimA network pharmacology-based strategy combined with molecular docking studies and in vitro validation were employed to investigate bioactive compounds, potential targets, and molecular mechanism of ZJW against CRC. MATERIALS AND

methodsBioactive compounds and potential targets of ZJW, as well as related genes of CRC, were acquired from public databases. Important ingredients, potential targets, and signaling pathways were determined through bioinformatics analysis, including protein-protein interaction (PPI), the Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, molecular docking and cell experiments were performed to further verify the findings.

resultsA total of 36 bioactive ingredients of ZJW and 163 gene targets of ZJW were identified. The network analysis revealed that quercetin, baicalein, wogonin, beta-sitosterol, and isorhamnetin may be candidate agents. The AKT1, JUN, CDKN1A, BCL2L1, and NCOA1 could become potential drug targets. The KEGG indicated that PI3K-AKT signaling pathway may play an important role in the effect of ZJW against CRC. Molecular docking suggested that quercetin, baicalein, and wogonin combined well with AKT1 and JUN. The in vitro experiment showed that quercetin, the most important ingredient of ZJW, could induce apoptosis of HCT116 cells through PI3K-Akt signaling pathway. This finding was congruent with the prediction obtained through the network pharmacology approach.

conclusionThis study comprehensively illuminated the active ingredients, potential targets, and molecular mechanism of ZJW against CRC. It also provided a promising approach to uncover the scientific basis and therapeutic mechanism of traditional Chinese medicine (TCM) formula treating for disease.

Indexed as

Antineoplastic Agents, PhytogenicApoptosisCell SurvivalColorectal NeoplasmsComputational BiologyDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalMolecular Docking SimulationMolecular StructureTumor Cells, CulturedAntineoplastic Agents, PhytogenicDrugs, Chinese Herbalcolorectal cancernetwork pharmacologyPI3K/AKT signal pathwayZuojinwan

Identifiers

PMID32764874
PMCPMC7369379
OpenAlexW3041667810

What OpenQuestion 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 OpenQuestion graph.