Evidence map›Paper›PMID 35330838›Full record

ArticleFrontiers in pharmacology2022

Uncovering the Pharmacological Mechanisms of Gexia-Zhuyu Formula (GXZY) in Treating Liver Cirrhosis by an Integrative Pharmacology Strategy.

Xu Cao, Yijun Liang, Ruijia Liu, Xiaobin Zao, Jiaying Zhang, Guang Chen, Ruijie Liu, Hening Chen, Yannan He, Jiaxin Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 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
2.5field-weighted citation impact, top 12% 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, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  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

11 authors at 3 institutions in 1 country.

Xu CaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yijun LiangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ruijia LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaobin ZaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jiaying ZhangMinistry of Education Key Laboratory of Bioinformatics, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Guang ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ruijie LiuBeijing Tongren Hospital, Capital Medical University, Beijing, China.
Hening ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yannan HeDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jiaxin ZhangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yong'an YeDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CNBeijing Tongren Hospital · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis (LC) is a fibrotic lesion of liver tissue caused by the repeated progression of chronic hepatitis. The traditional Chinese medicine Gexia-Zhuyu formula (GXZY) has a therapeutic effect on LC. However, its pharmacological mechanisms on LC remain elucidated. Here, we used the network pharmacology approach to explore the action mechanisms of GXZY on LC. The compounds of GXZY were from the traditional Chinese medicine systems pharmacology (TCMSP) database, and their potential targets were from SwissTargetPrediction and STITCH databases. The disease targets of LC came from GeneCards, DisGeNET, NCBI gene, and OMIM databases. Then we constructed the protein-protein interaction (PPI) network to obtain the key target genes. And the gene ontology (GO), pathway enrichment, and expression analysis of the key genes were also performed. Subsequently, the potential action mechanisms of GXZY on LC predicted by the network pharmacology analyses were experimentally validated in LC rats and LX2 cells. A total of 150 components in GXZY were obtained, among which 111 were chosen as key compounds. The PPI network included 525 targets, and the key targets were obtained by network topological parameters analysis, whereas the predicted key genes of GXZY on LC were AR, JUN, MYC, CASP3, MMP9, GAPDH, and RELA. Furthermore, these key genes were related to pathways in cancer, hepatitis B, TNF signaling pathway, and MAPK signaling pathway. The

Indexed as

Gexia-Zhuyu formulaliver cirrhosisnetwork pharmacologypharmacological mechanismstraditional Chinese medicine

Identifiers

PMID35330838
PMCPMC8940433
OpenAlexW4220725993

What Socratic 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 Socratic graph.