Evidence map›Paper›PMID 27180984›Full record

ArticleActa pharmacologica Sinica2016

Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach.

Quan Qi, Rui Li, Hui-Ying Li, Yu-Bing Cao, Ming Bai, Xiao-Jing Fan, Shu-Yan Wang, Bo Zhang, Shao Li

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 86 citations in OpenAlex.

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  15. Skin-Whitening Effect of a Callus Extract ofPlants (Basel, Switzerland) · 2023
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  17. Bioactive Compounds and Signaling Pathways ofLife (Basel, Switzerland) · 2023
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  20. Lotus (Cancers · 2022
    Review
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 3 institutions in 1 country.

Quan QiTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Rui LiTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Hui-Ying LiMOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.
Yu-Bing CaoTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Ming BaiMOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.
Xiao-Jing FanThe Second Hospital Affiliated to Tianjin University of Traditional Chinese Medicine, Tianjin 300150, China.
Shu-Yan WangTianjin International Joint Academy of Biotechnology & Medicine, Tianjin 300457, China.
Bo ZhangMOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.
Shao LiMOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.
Tianjin University of Traditional Chinese Medicine · CNTsinghua University · CNTianjin International Joint Academy of Biomedicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimNuciferine is an aporphine alkaloid extracted from lotus leaves, which is a raw material in Chinese medicinal herb for weight loss. In this study we used a network pharmacology approach to identify the anti-tumor activity of nuciferine and the underlying mechanisms.

methodsThe pharmacological activities and mechanisms of nuciferine were identified through target profile prediction, clustering analysis and functional enrichment analysis using our traditional Chinese medicine (TCM) network pharmacology platform. The anti-tumor activity of nuciferine was validated by in vitro and in vivo experiments. The anti-tumor mechanisms of nuciferine were predicted through network target analysis and verified by in vitro experiments.

resultsThe nuciferine target profile was enriched with signaling pathways and biological functions, including "regulation of lipase activity", "response to nicotine" and "regulation of cell proliferation". Target profile clustering results suggested that nuciferine to exert anti-tumor effect. In experimental validation, nuciferine (0.8 mg/mL) markedly inhibited the viability of human neuroblastoma SY5Y cells and mouse colorectal cancer CT26 cells in vitro, and nuciferine (0.05 mg/mL) significantly suppressed the invasion of 6 cancer cell lines in vitro. Intraperitoneal injection of nuciferine (9.5 mg/mL, ip, 3 times a week for 3 weeks) significantly decreased the weight of SY5Y and CT26 tumor xenografts in nude mice. Network target analysis and experimental validation in SY5Y and CT26 cells showed that the anti-tumor effect of nuciferine was mediated through inhibiting the PI3K-AKT signaling pathway and IL-1 levels in SY5Y and CT26 cells.

conclusionBy using a TCM network pharmacology method, nuciferine is identified as an anti-tumor agent against human neuroblastoma and mouse colorectal cancer in vitro and in vivo, through inhibiting the PI3K-AKT signaling pathways and IL-1 levels.

Indexed as

AnimalsAntineoplastic AgentsAporphinesCell Line, TumorCell SurvivalClass I Phosphatidylinositol 3-KinasesCluster AnalysisDrugs, Chinese HerbalHumansMiceMice, NudeNeoplasm InvasivenessPhosphatidylinositol 3-KinasesSignal TransductionXenograft Model Antitumor AssaysAntineoplastic AgentsAporphinesClass I Phosphatidylinositol 3-KinasesDrugs, Chinese HerbalnuciferinePhosphatidylinositol 3-KinasesPik3cd protein, mouse

Identifiers

PMID27180984
PMCPMC4933762
OpenAlexW2402297387

What OpenQuestion holds

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Registered trials

None linked

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.