Evidence map›Paper›PMID 33082828›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

A Network Pharmacology Technique to Investigate the Synergistic Mechanisms of

Yang Ma, Wenjun Wang, Jiani Yang, Sha Zhang, Zhe Li, Fei Li, Shaojie Huang, Lu Lei, Kai Wang, Aidong Wen and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Mechanism ofBioMed research international · 2021
    Article
  4. 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

11 authors at 2 institutions in 1 country.

Yang MaCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Wenjun WangCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Jiani YangCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Sha ZhangDepartment of Basic Medicine, Shaanxi University of Chinese Medicine, Xianyang, China.
Zhe LiDepartment of Basic Medicine, Shaanxi University of Chinese Medicine, Xianyang, China.
Fei LiCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Shaojie HuangDepartment of Pharmacy, Xijing Hospital of the Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0002-6400-7389
Lu LeiCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Kai WangCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Aidong WenCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.ORCID https://orcid.org/0000-0002-4535-0501
Yi DingCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.ORCID https://orcid.org/0000-0002-2158-3108
Xijing Hospital · CNShaanxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study is aimed to analyze the active ingredients, drug targets, and related pathways in the combination of

methodThe ingredients and targets of SM and RP were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the disease targets were obtained from Therapeutic Target Database (TTD), National Center for Biotechnology Information (NCBI), and Online Mendelian Inheritance in Man (OMIM) Database. The synergistic mechanisms of the SM and RP were evaluated by gene ontology (GO) enrichment analyses and Kyoto encyclopedia of genes and genomes (KEGG) path enrichment analyses.

resultA total of 61 active ingredients and 58 common targets were identified in this study. KEGG pathway enrichment analysis results showed that SM- and RP-regulated pathways were mainly inflammatory processes, immunosuppression, and cardiovascular systems. The component-target-pathway network indicated that SM and RP exert a synergistic mechanism for CCVDs through PTGS2 target in PI3k-Akt, TNF, and Jak-STAT signaling pathways.

conclusionIn summary, this study clarified the synergistic mechanisms of SM and RP, which can provide a better understanding of effect in the treatment of CCVDs.

Identifiers

PMID33082828
PMCPMC7566220
OpenAlexW3089595722

What OpenQuestion holds

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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.