Evidence map›Paper›PMID 35096103›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Action Mechanism Underlying Improvement Effect of Fuzi Lizhong Decoction on Nonalcoholic Fatty Liver Disease: A Study Based on Network Pharmacology and Molecular Docking.

Zheng Luo, Lu-Yun Xia, Yu-Qin Tang, Lili Huang, Dan Liu, Wen-Ying Huai, Chun-Jiang Zhang, Yan-Qiu Wang, Yong-Mei Xie, Qiao-Zhi Yin and 2 more

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Confusoside fromMolecules (Basel, Switzerland) · 2023
    Article
  7. Review
  8. 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

12 authors.

Zheng LuoCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lu-Yun XiaCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yu-Qin TangCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lili HuangCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dan LiuWest China Hospital, Sichuan University, Chengdu, China.
Wen-Ying HuaiCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chun-Jiang ZhangCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yan-Qiu WangCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yong-Mei XieWest China Hospital, Sichuan University, Chengdu, China.
Qiao-Zhi YinKey Biology Laboratory for TCM Viscera-Manifestation Research of Sichuan University, Chinese Medical Center of Chengdu University of TCM, Chengdu, China.
Yun-Hui ChenCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0002-3555-8018
Tian-E ZhangCollege of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0002-1081-5532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to decipher the bioactive compounds and potential mechanism of traditional Chinese medicine (TCM) formula Fuzi Lizhong Decoction (FLD) for nonalcoholic fatty liver disease (NAFLD) treatment via an integrative network pharmacology approach.

methodsThe candidate compounds of FLD and its relative targets were obtained from the TCMSP and PharmMapper web server, and the intersection genes for NAFLD were discerned using OMIM, GeneCards, and DisGeNET. Then, the PPI and component-target-pathway networks were constructed. Moreover, GO enrichment and KEGG pathway analysis were performed to investigate the potential signaling pathways associated with FLD's effect on NAFLD. Eventually, molecular docking simulation was carried out to validate the binding affinity between potential core components and key targets.

resultsA total of 143 candidate active compounds and 129 relative drug targets were obtained, in which 61 targets were overlapped with NAFLD. The PPI network analysis identified ALB, MAPK1, CASP3, MARK8, and AR as key targets, mainly focusing on cellular response to organic cyclic compound, steroid metabolic process, and response to steroid hormone in the biological processes. The KEGG pathway analysis demonstrated that 16 signaling pathways were closely correlated with FLD's effect on NALFD with cancer pathways, Th17 cell differentiation, and IL-17 signaling pathways as the most significant ones. In addition, the molecular docking analysis revealed that the core active compounds of FLD, such as 3'-methoxyglabridin, chrysanthemaxanthin, and Gancaonin H, had a high binding activity with such key targets as ALB, MAPK1, and CASP3.

conclusionsThis study suggested that FLD exerted its effect on NAFLD via modulating multitargets with multicompounds through multipathways. It also demonstrated that the network pharmacology-based approach might provide insights for understanding the interrelationship between complex diseases and interventions of the TCM formula.

Identifiers

PMID35096103
PMCPMC8794673

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