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. 2022 Sep 29:13:941098.
doi: 10.3389/fgene.2022.941098. eCollection 2022.

Study on complications of osteoporosis based on network pharmacology

Affiliations

Study on complications of osteoporosis based on network pharmacology

Zhijing Song et al. Front Genet. .

Abstract

Osteoporosis is a serious threat to human life. Guben Zenggu Granule is an empirical prescription for clinical treatment of osteoporosis. MC3T3-E1 cells are mouse osteogenic precursor cells with osteogenic differentiation, and are classic cells for studying bone metabolism and osteogenic mechanism, as well as mechanical stimulation sensitive cells. Therefore, it can be inferred that Guben Zenggu granule can repair MC3T3-E1 cells under continuous static pressure overload. This study aims to through the network of pharmacology and gene sequencing method, reveal thrift increase bone particles under the condition of continuous static pressure overload on osteogenesis mechanism of MC3T3-E1 cells. In the process of analysis, from a variety of 98 compounds was predicted in the database, a collection of 474 goals, a total of 29,164 difference between two groups of genes. Then, construction of composite targets between cells and predict targets and protein - protein interaction networks, and through the cluster analysis to further explore the relationship between the target. In addition, linkages between target proteins and cells were further identified using Gene Ontology (GO) and Pathways (KEGG Pathway). Finally, the repair effect of Guben Zenggu granule on MC3T3-E1 cells under continuous static pressure overload was verified through experiments, so as to accurately explain the pharmacodynamic mechanism of Traditional Chinese medicine.

Keywords: MC3T3-E1 cells; continuous static pressure; gene sequencing; guben zenggu granules; network pharmacology.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Shows the experimental design route in this paper.
FIGURE 2
FIGURE 2
(A) Volcanic diagram between two groups of samples; (B) Scatter plot between two groups of samples; (C) Drug-cell gene common targets; (D) Drug-component-target-gene interaction network diagram; (E) Protein interaction network.
FIGURE 3
FIGURE 3
(A) GO Functional analysis (CC); (B) GO functional analysis (MF); (C) GO Functional analysis (BP); (D) KEGG analysis.
FIGURE 4
FIGURE 4
Continuous static pressure damage model index WB detection. Note:1:Blank control group 2:Model group3:Blank serum group 4:Drug containing serum group.(A):OC/β-actin,(B):CoⅡ/β-actin,(D):OPN/β-actin,(E):Rankl/β-actin,(F):Nox4/β-actin,(G):OPG/β-actin;(H):RT-QPCR was used to detect TGF-β/BMP signaling pathway Smad2 in MC3T3-E1 cells. (I)Rt-qpcr was used to detect runx2 gene expression of TGF-β/BMP signaling pathway in MC3T3-E1 cells.
FIGURE 5
FIGURE 5
Image of trabecular bone.
FIGURE 6
FIGURE 6
Bone mineral density index and bone trabecular index. Note: (A)TV MM3 (selected volume of ROI),(B):BV MM3 (bone volume),(C):BV/TV % (bone volume fraction),(D):Tb.Th mm (bone trabecular thickness),(E):Tb.N 1/mm (bone trabecular number),(F):Tb (Bone trabecular separation), (G)BMD G/cm3 (bone density),1. Normal rats group,2. Rat model + placebo group, 3. Rat model + low dose,4. Rat model + medium dose5. Rat model + high dose* *represents p < 0.05.
FIGURE 7
FIGURE 7
HE staining of bone tissue with different doses of drugs.

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