Evidence map›Paper›PMID 37612858›Full record

ArticleCurrent computer-aided drug design2024

To Explore the Mechanism of Maiwei Dihuang Decoction in the Treatment of Non-small Cell Lung Cancer based on Network Pharmacology Combined with LC-MS.

Tao Jiang, Yang Lu, Wanzhi Yang, Jinhong Xu, Mingxing Zhu, Yong Huang, Fang Bao, Shengqi Zheng, Yongxia Li

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Article in Current computer-aided drug design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Tao JiangDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Yang LuDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Wanzhi YangDepartment of Pharmacy, Anqing First People's Hospital of Anhui Medical University, Anhui Province, China.
Jinhong XuDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Mingxing ZhuDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Yong HuangDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Fang BaoDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Shengqi ZhengDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.
Yongxia LiDepartment of Pharmacy, Navy Anqing Hospital, Anqing, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the mechanism of Maiwei Dihuang decoction in the treatment of non-small cell lung cancer (NSCLC) by using network pharmacology and LC-MS technology.

methodsThe effective components in Maiwei Dihuang decoction were detected by liquid chromatography- mass spectrometry (LC-MS). Use the SuperPred database to collect the relevant targets of the active ingredients of Mai Wei Di Tang, and then collect the relevant targets of nonsmall cell lung cancer from GeneCards, DisgenNET and OMIM databases. On this basis, PPI network construction, GO enrichment analysis and KEGG pathway annotation analysis were carried out for target sites. Finally, AutoDock Vina is used for molecular docking.

resultsWe further screened 16 effective Chinese herbal compounds through LC-MS combined with ADME level. On this basis, we obtained 77 core targets through protein interaction network analysis. Through GO, KEGG analysis and molecular docking results, we finally screened out the potential targets of Maiwei Dihuang Decoction for NSCLC: TP53, STAT3, MAPK3.

conclusionMaiwei Dihuang decoction may play a role in the treatment of NSCLC by coregulating TP53/STAT3/MAPK3 signal pathway.

Indexed as

Carcinoma, Non-Small-Cell LungDrugs, Chinese HerbalLung NeoplasmsMolecular Docking SimulationNetwork PharmacologyAntineoplastic Agents, PhytogenicChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryMass SpectrometryProtein Interaction MapsAntineoplastic Agents, PhytogenicDrugs, Chinese Herbalcancer signal pathway.LC-MSMaiwei Dihuang decoctionmolecular dockingNetwork pharmacologynon-small cell lung cancer

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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.