Evidence map›Paper›PMID 35888070›Full record

ArticleLife (Basel, Switzerland)2022

Exploring Quercetin Anti-Osteoporosis Pharmacological Mechanisms with In Silico and In Vivo Models.

Ying Hu, Wei Yuan, Na Cai, Kun Jia, Yunlong Meng, Fei Wang, Yurui Ge, Huiqiang Lu

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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, 16 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ying HuGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Wei YuanGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.ORCID 0000-0001-8667-4476
Na CaiGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Kun JiaGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Yunlong MengGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Fei WangGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Yurui GeGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Huiqiang LuGanzhou Key Laboratory for Drug Screening and Discovery, Gannan Normal University, Ganzhou 341000, China.
Gannan Normal University · CNJinggangshan University · CN

Funding

scientific and technological innovation 202101094972Technology Planning Project of Ganzhou City Study on the safety of Beauveria bassiana in zebrafishthe National Key R&D Program of China 2018YFA0801000the National Natural Science Foundation of China 32170853the Natural Science Foundation Project of Jiangxi Province 20212ACB205007the Natural Science Foundation Project of Jiangxi Province 20212BAB215001the Science and Technology Foundation of the Education Department of Jiangxi Province GJJ201002the Science and Technology Foundation of the Education Department of Jiangxi Province GJJ201417
6 · The paper itself

Abstract

Since osteoporosis critically influences the lives of patients with a high incidence, effective therapeutic treatments are important. Quercetin has been well recognized as a bone-sparing agent and thus the underlying mechanisms warrant further investigation. In the current study, the network pharmacology strategy and zebrafish model were utilized to explain the potential pharmacological effects of quercetin on osteoporosis. The potential targets and related signaling pathways were explored through overlapping target prediction, protein-protein interaction network construction, and functional enrichment analysis. Furthermore, we performed docking studies to verify the specific interactions between quercetin and crucial targets. Consequently, 55 targets were related to osteoporosis disease among the 159 targets of quercetin obtained by three database sources. Thirty hub targets were filtered through the cytoNCA plugin. Additionally, the Gene Ontology functions in the top 10 respective biological processes, molecular functions, and cell components as well as the top 20 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were depicted. The most significance difference in the KEGG pathways was the TNF signaling pathway, consisting of the Nuclear Factor Kappa B Subunit (NF-κB), Extracellular Regulated Protein Kinases (ERK) 1/2, Activator Protein 1 (AP-1), Interleukin 6 (IL6), Transcription factor AP-1 (Jun), and Phosphatidylinositol 3 Kinase (PI3K), which were probably involved in the pharmacological effects. Moreover, molecular docking studies revealed that the top three entries were Interleukin 1 Beta (IL1B), the Nuclear Factor NF-Kappa-B p65 Subunit (RelA), and the Nuclear Factor Kappa B Subunit 1 (NFKB1), respectively. Finally, these results were verified by alizarin red-stained mineralized bone in zebrafish and related qPCR experiments. The findings probably facilitate the mechanism elucidation related to quercetin anti-osteoporosis action.

Indexed as

network pharmacologyosteoporosispharmacological mechanismquercetinzebrafish

Identifiers

PMID35888070
PMCPMC9322149
OpenAlexW4283722337

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.