Evidence map›Paper›PMID 36157206›Full record

ArticleDisease markers2022

Network Pharmacology and Molecular Docking-Based Investigation of Potential Targets of Astragalus membranaceus and Angelica sinensis Compound Acting on Spinal Cord Injury.

Shengnan Cao, Guangjian Hou, Ya Meng, Yuanzhen Chen, Liangyu Xie, Bin Shi

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 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 It has been retracted, and should not be counted.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
0.9field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. Article
  2. Systematically Investigating the Pharmacological Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2023
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Shengnan CaoSchool of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.ORCID https://orcid.org/0000-0002-7341-5608
Guangjian HouSchool of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.ORCID https://orcid.org/0000-0001-7591-0488
Ya MengShandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China 250117.
Yuanzhen ChenBone Biomechanics Engineering Laboratory of Shandong Province, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan 250062, China.ORCID https://orcid.org/0000-0003-3513-2268
Liangyu XieBone Biomechanics Engineering Laboratory of Shandong Province, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan 250062, China.
Bin ShiBone Biomechanics Engineering Laboratory of Shandong Province, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan 250062, China.ORCID https://orcid.org/0000-0001-9305-5438
Shandong First Medical University · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Astragalus membranaceus (Huang-qi, AM) and Angelica sinensis (Dang-gui, AS) are common Chinese herbal medicines and have historically been used in spinal cord injury (SCI) therapies. However, the underlying molecular mechanisms of AM&AS remain little understood. The purpose of this research was to explore the bioactive components and the mechanisms of AM&AS in treating SCI according to network pharmacology and the molecular docking approach. Methods: AM&AS active ingredients were first searched from Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Traditional Chinese Medicine Information Database (TCM-ID). Meanwhile, we collected relevant target genes of SCI through the GeneCards database, OMIM database, PharmGkb database, DurgBank database, and TDD database. By utilizing the STRING database, we constructed a network of protein-protein interactions (PPIs). In addition, we used R and STRING to perform GO and KEGG function enrichment analyses. Subsequently, AutoDock Vina was employed for a molecular docking study on the most active ingredients and most targeted molecules to validate the results of the network pharmacology analysis mentioned above. Result: The overall number of AM&AS active compounds identified was 22, while the number of SCI-related targets identified was 159. Then, the 4 key active ingredients were MOL000098 quercetin, MOL000422 kaempferol, MOL000354 isorhamnetin, and MOL000392 formononetin. A total of fourteen core targets were TP53, ESR1, MAPK1, MTC, HIF1A, HSP90AA1, FOS, MAPK14, STAT1, AKT1, EGFR, RELA, CCND1, and RB1. The KEGG enrichment analysis results indicated that lipid and atherosclerosis, PI3K-Akt signaling pathway, human cytomegalovirus infection, fluid shear stress, and atherosclerosis, etc., were enhanced with SCI development. Based on the analyses of docked molecules, four main active compounds had high affinity for the key targets. Conclusions: Altogether, it identified the mechanisms by which AM&AS was used for SCI treatment, namely, active ingredients, targets and signaling pathways. Consequently, further research into AM&AS treating SCI can be conducted on this scientific basis.

Indexed as

Angelica sinensisAtherosclerosisDrugs, Chinese HerbalMitogen-Activated Protein Kinase 14Spinal Cord InjuriesAstragalus propinquusErbB ReceptorsHumansKaempferolsLipidsMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktQuercetinDrugs, Chinese HerbalErbB ReceptorsKaempferolsLipidsMitogen-Activated Protein Kinase 14Phosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktQuercetin

Identifiers

PMID36157206
PMCPMC9499798
OpenAlexW4295929600

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.