Evidence map›Paper›PMID 33299870›Full record

ArticleBioMed research international2020

Based on Network Pharmacology to Explore the Molecular Targets and Mechanisms of Gegen Qinlian Decoction for the Treatment of Ulcerative Colitis.

Meiqi Wei, He Li, Qifang Li, Yi Qiao, Qun Ma, Ruining Xie, Rong Wang, Yuan Liu, Chao Wei, Bingbing Li and 3 more

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 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 3 institutions in 1 country.

Meiqi Wei *Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
He Li *College of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Qifang LiDepartment of Traditional Chinese Medicine, Affiliated Hospital of Jining Medical University, Jining 272060, China.
Yi QiaoSchool of Public Health, Jining Medical University, Jining 272067, China.
Qun MaSchool of Basic Medicine, Jining Medical University, Jining 272067, China.
Ruining XieSchool of Public Health, Jining Medical University, Jining 272067, China.
Rong WangCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Yuan LiuCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Chao WeiCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Bingbing LiCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Canlei ZhengCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Bing SunCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.
Bin YuCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining 272067, China.ORCID https://orcid.org/0000-0002-1258-4168
Jining Medical University · CNAffiliated Hospital of Jining Medical University · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGegen Qinlian (GGQL) decoction is a common Chinese herbal compound for the treatment of ulcerative colitis (UC). In this study, we aimed to identify its molecular target and the mechanism involved in UC treatment by network pharmacology and molecular docking.

resultsA total of 146 active compounds were screened, and quercetin, kaempferol, wogonin, and stigmasterol were identified as the active ingredients with the highest associated targets, and NOS2, PPARG, and MMP1 were the targets associated with the maximum number of active ingredients. Through topological analysis, 32 strongly associated proteins were found, of which EGFR, PPARG, ESR1, HSP90AA1, MYC, HSPA5, AR, AKT1, and RELA were predicted targets of the traditional Chinese medicine, and PPARG was also an intersection gene. It was speculated that these targets were the key to the use of GGQL in UC treatment. GO enrichment results showed significant enrichment of biological processes, such as oxygen levels, leukocyte migration, collagen metabolic processes, and nutritional coping. KEGG enrichment showed that genes were particularly enriched in the IL-17 signaling pathway, AGE-RAGE signaling pathway, toll-like receptor signaling pathway, tumor necrosis factor signaling pathway, transcriptional deregulation in cancer, and other pathways. Molecular docking results showed that key components in GGQL had good potential to bind to the target genes MMP3, IL1B, NOS2, HMOX1, PPARG, and PLAU.

conclusionGGQL may play a role in the treatment of ulcerative colitis by anti-inflammation, antioxidation, and inhibition of cancer gene transcription.

Indexed as

Molecular Targeted TherapyColitis, UlcerativeDown-RegulationDrug Evaluation, PreclinicalDrugs, Chinese HerbalEndoplasmic Reticulum Chaperone BiPGene OntologyHumansMedicine, Chinese TraditionalMolecular Docking SimulationProtein Interaction MappingThermodynamicsUp-RegulationDrugs, Chinese HerbalEndoplasmic Reticulum Chaperone BiPgegenqinlianHSPA5 protein, human

Identifiers

PMID33299870
PMCPMC7710413
OpenAlexW3106687433

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.