Evidence map›Paper›PMID 38882048›Full record

ArticleDrug design, development and therapy2024

Integrating Network Pharmacology and Experimental Validation to Decipher the Mechanism of Action of

Yuling Liang, Yuqing Xie, Xiaoli Liu, Lihua Yu, Huiwen Yan, Zimeng Shang, Yuan Wu, Xue Cai, Wanxin Shi, Juan Du and 1 more

Abstract readValidation Study
In one paragraph

Article in Drug design, development and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. 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.

Yuling Liang *Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0009-0002-1629-0009
Yuqing Xie *Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Xiaoli LiuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Lihua YuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0000-0002-3228-8286
Huiwen YanCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0000-0001-6265-7719
Zimeng ShangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Yuan WuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0009-0004-0920-6811
Xue CaiBeijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.
Wanxin ShiBeijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0009-0009-5465-0053
Juan DuBeijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Zhiyun YangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0000-0002-1522-0749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Traditional Chinese medicine (TCM) therapy is an important means to treat hepatocellular carcinoma (HCC), Methods: The HQBZ-Compound-Target-HCC network and HQBZ-HCC transcriptional regulatory network were constructed to screen the core active compound components and targets of HQBZ therapy for HCC. Molecular docking techniques are used to verify the stability of binding core active compound components to targets. GO and KEGG enrichment analysis were used to explore the signaling pathway of HQBZ in HCC treatment, the mechanism of HQBZ treatment of HCC was verified based on in vivo H22 tumor bearing mice and in vitro cell experiments. Results: Network pharmacology and molecular docking studies showed that HQBZ treatment of HCC was related to the targeted regulation of IL-6 and STAT3 by the active compound biatractylolide, KEGG pathway enrichment analysis suggest that HQBZ may play a role in the treatment of HCC through IL-6/STAT3 signaling pathway. In vitro experiment results proved that HQBZ could regulate IL-6/STAT3 signaling pathway transduction on CD8 Conclusion: This study found that HQBZ may play a therapeutic role in HCC by targeting IL-6 and STAT3 through biatractylolide, its mechanism of action is related to regulating IL-6/STAT3 signaling pathway, reversing T cell failure and increasing tumor infiltration CD8

Indexed as

Astragalus propinquusAtractylodesCarcinoma, HepatocellularDrugs, Chinese HerbalLiver NeoplasmsAnimalsCD8-Positive T-LymphocytesGene Regulatory NetworksMaleMiceMice, Inbred BALB CMolecular Docking SimulationNetwork PharmacologyPhytotherapyPrimary Cell CultureProtein Interaction MapsBaizhuDrugs, Chinese HerbalHuang QiAstragalus–Atractylodes herb pairhepatocellular carcinomaIL-6/STAT3 signaling pathwaymolecular dockingnetwork pharmacology

Identifiers

PMID38882048
PMCPMC11179675

What OpenQuestion holds

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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.