Evidence map›Paper›PMID 38087272›Full record

ArticleBMC complementary medicine and therapies2023

Network pharmacology combined with metabolomics to explore the mechanism for Lonicerae Japonicae flos against respiratory syncytial virus.

Jie Ding, Jing Li, Zhe Zhang, Yaxuan Du, Yuhong Liu, Ping Wang, Haitao Du

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 7 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

7 authors at 3 institutions in 1 country.

Jie DingCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Jing LiCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Zhe ZhangCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Yaxuan DuSchool of Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 117004, China.
Yuhong LiuCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China. liuyuhongwu@126.com.
Ping WangShandong Academy of Chinese Medicine, Jinan, 250014, China. wangpingjinan@126.com.
Haitao DuShandong Academy of Chinese Medicine, Jinan, 250014, China. kkitdht@foxmail.com.
Shandong University of Traditional Chinese Medicine · CNShandong Academy of Chinese Medicine · CNShenyang Pharmaceutical University · CN

Funding

Jinan "20 New Colleges and Universities" Funded Project 202228121Natural Science Foundation of Shandong Province ZR2019MH082Open Projects Fund of Shandong Key Laboratory of Carbohydrate Chemistry and Glycobiology Shandong University 2021CCG05Shandong Traditional Chinese Medicine Science and Technology Project Q-2023023Taishan Industry Leading Talents Project tscy20200410
6 · The paper itself

Abstract

backgroundRespiratory Syncytial Virus (RSV) stands out as a primary contributor to lower respiratory tract infections and hospitalizations, particularly in infants. Lonicerae japonicae flos (LJF), a traditional Chinese medicine renowned for its efficacy against various viral infections, including RSV, has been widely employed. Despite its common use, the precise therapeutic mechanism of LJF against RSV remains elusive. This study aimed to investigate the underlying mechanism of LJF against RSV through network pharmacology and metabolomics.

methodsIn this study, based on network pharmacology, potential targets related to LJF and RSV were obtained from PubChem and Swiss Target Prediction. The core targets and pathways were established and verified by enrichment analysis and molecular docking. The anti-RSV efficacy of LJF was determined by in vitro experiments. Additionally, metabolomics analysis was integrated, allowing for the identification of differential metabolites and their correlation with targets following LJF treatment in the context of RSV infection.

resultsA total of 23 active ingredients and 780 targets were obtained, of which 102 targets were associated with LJF anti-RSV. The construction of the corresponding Protein-Protein Interaction (PPI) network unveiled potential core targets, including STAT3, TNF, and AKT1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that LJF's anti-RSV effects primarily involve key pathways such as the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and FoxO signaling pathway. Molecular docking showed that ZINC03978781, 4,5'-Retro-.beta.,.beta.-Carotene -3,3'-dione, 4',5'-didehydro and 7-epi-Vogeloside had better binding ability. The cellular assay showed that the therapeutic index of LJF against RSV was 4.79. Furthermore, 18 metabolites were screened as potential biomarkers of LJF against RSV, and these metabolites were mainly involved in the pathways of purine metabolism, linoleic acid metabolism, alpha-linolenic acid metabolism, and other related pathways.

conclusionsThe intergration of network pharmacology and metabolomics can clarify the active targets and related pathways of LJF against RSV, which could provide a valuable reference for further research and clinical application of LJF.

Indexed as

Network PharmacologyRespiratory Syncytial VirusesHumansInfantMetabolomicsMolecular Docking SimulationPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesActive ingredientLonicerae japonicae flosMetabolomicsNetwork pharmacologyRespiratory syncytial virus

Identifiers

PMID38087272
PMCPMC10714634
OpenAlexW4389624382

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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.