Evidence map›Paper›PMID 35399830›Full record

ArticleJournal of healthcare engineering2022

Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology.

Baoshan Liu, Aifei Wang, Zihou Cao, Junjie Li, Miao Zheng, Youjia Xu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Baoshan LiuDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0003-3393-9914
Aifei WangDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0002-5536-590X
Zihou CaoDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0001-5423-6842
Junjie LiDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0002-0249-9293
Miao ZhengOsteoporosis Clinical Center, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0001-5026-8804
Youjia XuDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID 0000-0002-9826-4324
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to demonstrate the pharmacodynamic material basis and molecular mechanism of pilose antler (PA) in the prevention and treatment of osteoporosis (OP) by the method of network pharmacology. Methods: First, the active components of PA were screened by BATMAN-TCM database, and the component targets were obtained from the SwissTargetPrediction online tool. Moreover, the relevant target genes of OP were obtained by searching the DisGeNET database. Second, the Venn diagram was drawn to obtain the PA-OP common targets, and the protein-protein interaction (PPI) network and drug-component-target (D-C-T) network were constructed by Cytoscape software. Finally, the GO functional annotation and KEGG pathway enrichment analysis of common targets were performed using the Metascape online tool. Results: 82 common targets were identified by generating a Venn diagram. The PPI network of 82 common targets indicated that the top 5 nodal targets, including PIK3CA, MAPK1, ESR1, AKT1, and SRC, were strongly associated with other proteins. The D-C-T network suggested that the active components with high degree of connectivity include Prostaglandin E1, 17-Beta-Estradiol, Alpha-Estradiol, and Estrone. Furthermore, the GO enrichment analysis revealed that the biological process categories were dominated by response to peptide, cellular response to lipid, regulation of MAPK cascade, and so on. Additionally, the KEGG pathway analysis indicated the estrogen signaling pathway, osteoclast differentiation, and HIF-1 signaling pathway might have critical effects on the development of OP. Conclusion: The study shows that PA has the characteristics of multi-component, multi-target, and multi-pathway in treating osteoporosis.

Indexed as

Drugs, Chinese HerbalOsteoporosisEstradiolHumansMedicine, Chinese TraditionalNetwork PharmacologyDrugs, Chinese HerbalEstradiol

Identifiers

PMID35399830
PMCPMC8986401
OpenAlexW4220999710

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.