Evidence map›Paper›PMID 36590764›Full record

ArticleComputational and mathematical methods in medicine2022

Exploring the Potential Mechanism of Artemisinin and Its Derivatives in the Treatment of Osteoporosis Based on Network Pharmacology and Molecular Docking.

Yujie Ma, Haixia Liu, Xinyue Lu, Changheng Song, Yin Cheng, Yuhan Wang, Pei Li, Yanjing Chen, Zhiguo Zhang

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Early, non-invasive detection of radiation-induced lung injury using PET/CT by targeting CXCR4.European journal of nuclear medicine and molecular imaging · 2024
    Article
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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

9 authors at 1 institution in 1 country.

Yujie MaInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Haixia LiuInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID https://orcid.org/0000-0003-2198-1015
Xinyue LuInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Changheng SongInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Yin ChengInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Yuhan WangInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Pei LiInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Yanjing ChenInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID https://orcid.org/0000-0001-7920-5778
Zhiguo ZhangInstitute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID https://orcid.org/0000-0001-8626-8611
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study is aimed at predicting and contrasting the mechanisms of artemisinin (ARS), dihydroartemisinin (DHA), artesunate (ART), artemether (ARM), and arteether (ARE) in the treatment of osteoporosis (OP) using network pharmacology and molecular docking. Methods: The targets of ARS, DHA, ART, ARM, and ARE were obtained from the SwissTargetPrediction. The targets related to OP were obtained from the TTD, DrugBank, Genecards, and DisGeNet databases. Then, the anti-OP targets of ARS, DHA, ART, ARM, and ARE were obtained and compared using the Venn diagram. Afterward, the protein-protein interaction (PPI) networks were built using the STRING database, and Cytoscape was used to select hub targets. Moreover, molecular docking validated the binding association between five molecules and hub targets. Finally, GO enrichment and KEGG pathway enrichment were conducted using the DAVID database. The common pathways of five molecules were analysed. Results: A total of 28, 37, 36, 27, and 33 anti-OP targets of ARS, DHA, ART, ARM, and ARE were acquired. EGFR, EGFR, CASP3, MAPK8, and CASP3 act as the top 1 anti-OP targets of ARS, DHA, ART, ARM, and ARE, respectively. MAPK14 is the common target of five molecules. All five molecules can bind well with these hubs and common targets. Meanwhile, functional annotation showed that MAPK, Serotonergic synapse, AMPK, prolactin, and prolactin signaling pathways are the top 1 anti-OP pathway of ARS, DHA, ART, ARM, and ARE, respectively. IL-17 signaling pathway and prolactin signaling pathway are common anti-OP pathways of five molecules. Besides, GO enrichment showed five biological processes and three molecular functions are common anti-OP mechanisms of five molecules. Conclusion: ARS, DHA, ART, ARM and ARE can treat OP through multi-targets and multi pathways, respectively. All five molecules can treat OP by targeting MAPK14 and acting on the IL-17 and prolactin signaling pathways.

Indexed as

ArtemisininsDrugs, Chinese HerbalMitogen-Activated Protein Kinase 14OsteoporosisArtemetherArtesunateCaspase 3ErbB ReceptorsHumansInterleukin-17Molecular Docking SimulationNetwork PharmacologyProlactinArtemetherartemisininArtemisininsartemotilartenimolArtesunateCaspase 3Drugs, Chinese HerbalErbB ReceptorsInterleukin-17Mitogen-Activated Protein Kinase 14Prolactin

Identifiers

PMID36590764
PMCPMC9800086
OpenAlexW4312190873

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.