Evidence map›Paper›PMID 35154614›Full record

ArticleJournal of healthcare engineering2021

Network Pharmacology Analysis on the Mechanism of Huangqi Sijunzi Decoction in Treating Cancer-Related Fatigue.

Yixin Cui, Haiming Wang, Decai Wang, Jiwei Mi, Gege Chen, Fagen Li, Yujia Wang, Yin Zhang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. 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 It has been retracted, and should not be counted.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 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. Observational
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  9. Multi-target mechanism ofSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
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  19. Frontiers in pharmacology · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Yixin Cui *Department of Traditional Chinese Medicine and Acupuncture, The First Medical Center, General Hospital of Chinese PLA, Beijing 100853, China.ORCID 0000-0002-3290-2311
Haiming Wang *Department of Traditional Chinese Medicine and Acupuncture, The First Medical Center, General Hospital of Chinese PLA, Beijing 100853, China.
Decai WangThe Second Outpatient Department of Aerospace Center Hospital, Beijing 100049, China.
Jiwei MiDepartment of General Practice, The Central People's Hospital, Zhanjiang, Guangdong 524037, China.
Gege ChenGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050000, China.
Fagen LiDepartment of Traditional Chinese Medicine and Acupuncture, The First Medical Center, General Hospital of Chinese PLA, Beijing 100853, China.
Yujia WangDepartment of Traditional Chinese Medicine and Acupuncture, The First Medical Center, General Hospital of Chinese PLA, Beijing 100853, China.
Yin ZhangDepartment of Traditional Chinese Medicine and Acupuncture, The First Medical Center, General Hospital of Chinese PLA, Beijing 100853, China.ORCID 0000-0002-6896-3669
Chinese PLA General Hospital · CNAerospace Center Hospital · CNCentral People's Hospital of Zhanjiang · CNHebei University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine the active ingredients of Huangqi Sijunzi Decoction (HQSJZD) and the targets in treating cancer-related fatigue (CRF) so as to investigate the treatment mechanism of HQSJZD for CRF.

methodsThis study adopted the method of network pharmacology. The active ingredients and targets of HQSJZD were retrieved, and the targets of HQSJZD in treating CRF were obtained using a Venn diagram. Next, a protein-protein interaction (PPI) network was constructed using the String database. The core targets of HQSJZD in treating CRF were identified through topological analysis, and functional annotation analysis and pathway enrichment analysis were carried out. Subsequently, a compound-disease-target regulatory network was constructed using Cystoscape 3.8.0 software.

resultsA total of 250 targets of HQSJZD ingredients, 1447 CRF-related genes, and 144 common targets were obtained. Through topological analysis, 61 core targets were screened. Bioinformatics annotation of these genes identified 2366 gene ontology (GO) terms and 172 enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.

conclusionThe active ingredients in HQSJZD, that is, quercetin, luteolin, kaempferol, and naringenin, may act on AKT1, IL-6, VEGFA, MAPK3, CASP3, JUN, and EGFR to regulate the PI3K-Akt, TNF, and IL-17 signaling pathways, thereby suppressing inflammatory response, tumor gene expression, and tumor angiogenesis to treat CRF. This study investigated the pharmacological basis and mechanism of HQSJZD in the treatment of CRF using systematic pharmacology, which provides an important reference for further elucidation of the anti-CRF mechanism and clinical applications of HQSJZD, and also provides a method protocol for similar studies in the future.

Indexed as

NeoplasmsPhosphatidylinositol 3-KinasesDrugs, Chinese HerbalFatigueHumansMolecular Docking SimulationNetwork PharmacologyDrugs, Chinese HerbalPhosphatidylinositol 3-KinasesSijunzi decoction

Identifiers

PMID35154614
PMCPMC8837426
OpenAlexW3211593463

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.