Two mixed ligand coordination polymers: Photocatalytic dye degradation and protective effect against peri-implantitis by reducing P. gingivalis survival gene expression levels

2021 ◽  
Vol 296 ◽  
pp. 121959
Author(s):  
Xiao-Xing Hao ◽  
Hong Zhang ◽  
En-Jun Zuo
Keyword(s):  
Gene Expression ◽  
Protective Effect ◽  
Coordination Polymers ◽  
Dye Degradation ◽  
Mixed Ligand ◽  
Expression Levels ◽  
Ligand Coordination ◽  
Survival Gene ◽  
Photocatalytic Dye Degradation ◽  
Gene Expression Levels

scholarly journals Two mixed-ligand coordination polymers based on 2,5-thiophenedicarboxylic acid and flexible N-donor ligands: the protective effect on periodontitis via reducing the release of IL-1β and TNF-α

2020 ◽  
Vol 18 (1) ◽  
pp. 391-398
Author(s):  
Shao-Hsuan Wu ◽  
Jun-Hui Huang
Keyword(s):  
Coordination Polymers ◽  
Gingival Crevicular Fluid ◽  
Mixed Ligand ◽  
Donor Ligands ◽  
X Ray Diffraction ◽  
Functional Studies ◽  
Tnf Α ◽  
Mucosal Cells ◽  
Ligand Coordination ◽  
Crevicular Fluid

AbstractTwo novel mixed-ligand coordination polymers, {[Co(tdc)(btrp)]·0.67DMF}n (1) and {[Zn2(bimb)2(tdc)2]·2H2O}n (2) involving 2,5-thiophenedicarboxylate (H2tdc), and bitopic flexible N-donor ligands, 1,3-bis(1,2,4-triazol-1-yl)propane (btrp) and 1,4-bis((1H-benzo[d]imidazol-1-yl)methyl)benzene (bimb), have been synthesized by the hydrothermal method and characterized via IR, elemental analysis, thermal analysis, and powder X-ray diffraction. The biological functional studies were performed; the treatment activity of the compounds on periodontitis and the specific mechanism was explored. First, the real-time RT-PCR was carried out to determine the inflammatory genes nf-κb and p53 relative expression in periodontal mucosal cells after treating with compounds 1 and 2. Then, the level of the inflammatory cytokine in the gingival crevicular fluid after treating with compounds was also determined by the ELISA detection kit.

scholarly journals A Sparse and Low-Rank Regression Model for Identifying the Relationships Between DNA Methylation and Gene Expression Levels in Gastric Cancer and the Prediction of Prognosis

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 854
Author(s):  
Yishu Wang ◽  
Lingyun Xu ◽  
Dongmei Ai
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Dna Methylation ◽  
Regression Model ◽  
The Cancer Genome Atlas ◽  
Low Rank ◽  
Expression Levels ◽  
Rank Regression ◽  
Prediction Of Prognosis ◽  
Gene Expression Levels

DNA methylation is an important regulator of gene expression that can influence tumor heterogeneity and shows weak and varying expression levels among different genes. Gastric cancer (GC) is a highly heterogeneous cancer of the digestive system with a high mortality rate worldwide. The heterogeneous subtypes of GC lead to different prognoses. In this study, we explored the relationships between DNA methylation and gene expression levels by introducing a sparse low-rank regression model based on a GC dataset with 375 tumor samples and 32 normal samples from The Cancer Genome Atlas database. Differences in the DNA methylation levels and sites were found to be associated with differences in the expressed genes related to GC development. Overall, 29 methylation-driven genes were found to be related to the GC subtypes, and in the prognostic model, we explored five prognoses related to the methylation sites. Finally, based on a low-rank matrix, seven subgroups were identified with different methylation statuses. These specific classifications based on DNA methylation levels may help to account for heterogeneity and aid in personalized treatments.

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