Evidence map›Paper›PMID 35145559›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Exploration of the Mechanism of Lianhua Qingwen in Treating Influenza Virus Pneumonia and New Coronavirus Pneumonia with the Concept of "Different Diseases with the Same Treatment" Based on Network Pharmacology.

Huihui Su, Guosong Wu, Lulu Zhan, Fei Xu, Huiqin Qian, Yanling Li, Ximei Zhu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Application of network pharmacology in synergistic action of Chinese herbal compounds.Theory in biosciences = Theorie in den Biowissenschaften · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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 2 institutions in 1 country.

Huihui SuCollege of Pharmacy, Sanquan College of Xinxiang Medical University, Xinxiang 453000, China.ORCID https://orcid.org/0000-0002-0151-6047
Guosong WuDepartment of Pharmacy, Baiyun Branch of Nanfang Hospital of Southern Medical University, Guangzhou 510599, China.ORCID https://orcid.org/0000-0002-7365-8087
Lulu ZhanCollege of Pharmacy, Sanquan College of Xinxiang Medical University, Xinxiang 453000, China.ORCID https://orcid.org/0000-0002-3531-921X
Fei XuCollege of Pharmacy, Sanquan College of Xinxiang Medical University, Xinxiang 453000, China.ORCID https://orcid.org/0000-0003-4299-2266
Huiqin QianCollege of Pharmacy, Sanquan College of Xinxiang Medical University, Xinxiang 453000, China.ORCID https://orcid.org/0000-0001-5298-4505
Yanling LiCollege of Pharmacy, Sanquan College of Xinxiang Medical University, Xinxiang 453000, China.ORCID https://orcid.org/0000-0002-9499-5242
Ximei ZhuClinical Pharmacists, The Maternal and Child Health Care Hospital of HuaDu District (Huzhong Hospital), Guangzhou 510800, China.ORCID https://orcid.org/0000-0002-1408-7472
Xinxiang Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 31 main components of Lianhua Qingwen (LHQW) were obtained through a literature and database search; the components included glycyrrhizic acid, emodin, chlorogenic acid, isophoroside A, forsythia, menthol, luteolin, quercetin, and rutin. Sixty-eight common targets for the treatment of novel coronavirus pneumonia (NCP) and influenza virus pneumonia (IVP) were also obtained. A "component-target-disease" network was constructed with Cytoscape 3.2.1 software, and 20 key targets, such as cyclooxygenase2 (COX2), interleukin-6 (IL-6), mitogen-activated protein kinase14 (Mapk14), and tumor necrosis factor (TNF), were screened from the network. The David database was used to perform a Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment analysis and gene ontology (GO) biological process enrichment. Results showed that the key targets of LHQW in the treatment of NCP and IVP mainly involved biological processes, such as immune system process intervention, cell proliferation, apoptosis and invasion, toxic metabolism, cytokine activity, and regulation of the synthesis process. KEGG enrichment analysis revealed that 115 signalling pathways were related to the treatment of LHQW. Amongst them, IL-17, T cell receptor, Th17 cell differentiation, TNF, toll-like receptor, MAPK, apoptosis, and seven other signalling pathways were closely related to the occurrence and development of NCP and IVP. Molecular docking showed that each component had different degrees of binding with six targets, namely, 3C-like protease (3CL), angiotensin-converting enzyme 2 (ACE2), COX2, hemagglutinin (HA), IL-6, and neuraminidase (NA). Rutin, isoforsythiaside A, hesperidin and isochlorogenic acid B were the best components for docking with the six core targets. The first five components with the best docking results were isoforsythiaside, hesperidin, isochlorogenic acid B, forsythin E, and quercetin. In conclusion, LHQW has many components, targets, and pathways. The findings of this work can provide an important theoretical basis for determining the mechanism of LHQW in treating NCP and IVP.

Identifiers

PMID35145559
PMCPMC8822319
OpenAlexW4210845787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.