Evidence map›Paper›PMID 32566658›Full record

ArticleBioMed research international2020

Mechanism of YuPingFeng in the Treatment of COPD Based on Network Pharmacology.

Yunhong Yin, Jianyu Liu, Mengyu Zhang, Rui Li, Xiao Liu, Yican Yang, Yi-Qing Qu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. The Mechanism ofBioMed research international · 2025
    Article
  4. Molecular Recognition ofACS omega · 2023
    Article
  5. Review
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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 1 institution in 1 country.

Yunhong YinDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0002-6615-8658
Jianyu LiuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0003-4274-5273
Mengyu ZhangDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0002-3314-1307
Rui LiDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0003-0057-5819
Xiao LiuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0003-0437-4045
Yican YangDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0002-8627-5691
Yi-Qing QuDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0002-9538-7601
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

YuPingFeng (YPF) granules are a classic herbal formula extensively used in clinical practice in China for the treatment of COPD. However, the pathological mechanisms of YPF in COPD remain undefined. In the present research, a network pharmacology-based strategy was implemented to elucidate the underlying multicomponent, multitarget, and multipathway modes of action of YPF against COPD. First, we identified putative YPF targets based on TCMSP databases and constructed a network containing interactions between putative YPF targets and known therapeutic targets of COPD. Next, two topological parameters, "degree" and "closeness," were calculated to identify target genes in the network. The major hubs were imported to the MetaCore database for pathway enrichment analysis. In total, 23 YPF active ingredients and 83 target genes associated with COPD were identified. Through protein interaction network analysis, 26 genes were identified as major hubs due to their topological importance. GO and KEGG enrichment analysis results revealed YPF to be mainly associated with the response to glucocorticoids and steroid hormones, with apoptotic and HIF-1 signalling pathways being dominant and correlative pathways. The promising utility of YPF in the treatment of COPD has been demonstrated by a network pharmacology approach.

Indexed as

Databases, GeneticDrug DevelopmentDrugs, Chinese HerbalHumansProtein Interaction MapsPulmonary Disease, Chronic ObstructiveSignal TransductionDrugs, Chinese Herbalyupingfeng

Identifiers

PMID32566658
PMCPMC7275212
OpenAlexW3029553856

What OpenQuestion holds

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LicenceCC BY
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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.