Molecular Biology and Nanomedicine

Drug-Eluting Stent Implantation after Percutaneous Transluminal Angioplasty decreases Restenosis Incidence and Inflammatory Reaction in Patients with Lower Extremity Arterial Disease

Chao Wang;Ming Deng;

Abstract: Lower extremity arterial disease (LEAD) is considered as a common cause resulting the narrowing in the vessels of the lower limbs. This study investigated effect of drug-eluting stent (DES) implantation after percutaneous transluminal angioplasty (PTA) on restenosis incidence in patients with LEAD. The patients with LEAD in control group received PTA alone, and the patients in intervention group received PTA and DES implantation. Skin temperature, transcutaneous oxygen tension (TcPO2), ankle brachial index (ABI), recurrence rate, total response rate, ulcer cure and improvement rates and restenosis incidence 6 months and 12 months after treatment were compared. Clinical symptoms, signs, and foot ulcer condition before and after treatment were compared. Enzyme-linked immunosorbent assay (ELISA) was used to detect the level of like interleukin 6 (IL-6), tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) 3 d and 6 months. Six months after treatment, the patients in intervention group showed increased TcPO2 and ABI and ulcer cure rate but decreased restenosis incidence, and 12 months after treatment, the patients in intervention group exhibited increased skin temperature, TcPO2 and ABI but decreased recurrence rate and restenosis incidence. Moreover, compared with the control group, total response rate, symptoms, signs and foot ulcer condition were increased, but the levels of IL-6, TNF-α and CRP decreased 3 d and 6 months in the intervention group. The total effective rate of restenosis after LEAD intervention was associated with treatment regimen, Fontaine staging, and Hb A1c. Collectively, DES implantation after PTA decreases restenosis incidence and inflammatory reaction in LEAD patients compared with PTA alone..

Keywords: percutaneous transluminal angioplasty; rug-eluting stent implantation; lower extremity arterial disease; restenosis; inflammatory reaction.

DOI: 10.37813/j.mbn.2707-4692.007

Published on: 31 August 2020

Viewed: 227 / Downloaded: 4466 / Cited:0

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Central Genes and Signaling Pathways in Colorectal Cancer Are Determined Based on Bioinformatics Analysis

Fei Liu;Fuping Gao;

Abstract: Colorectal cancer (CRC) is a leading cause of cancer-related death. This present study aims to identify differentially expressed genes (DEGs) and significant pathways in CRC based on expression profile databases, which may provide evidence for better understanding of the pathogenic mechanism of CRC. Initially, microarray-based gene expression analysis was used to screen out DEGs in three CRC-related databases (GSE41328, GSE75970 and GSE89076). Then, Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to explore the role of DEGs in CRC. Next, the weighted correlation network analysis (WGCNA), receiver operating characteristic (ROC) curve analysis and protein-protein interaction (PPI) network were conducted to reveal the central genes and pathways. Furthermore, the survival analysis and correlation analysis were also carried out. We found 1722 DEGs in 3 CRC-related databases, and these genes were enriched in biological regulation, metabolic process, cytokine receptor interaction, cell cycle and cAMP signaling pathways. Additionally, some of them have been uncovered to be closely associated with the development of CRC. Besides, six genes (CDK1, CCNA2, CCNB1, CDC20, CDC45 and CCNB2) were found to be highly expressed in CRC, and involved in CRC-associated signaling pathways, which may affect the development of CRC. ROC analysis further proved that these six genes could serve as potential biomarkers indicating CRC. This study deepens our understanding of the molecular mechanisms of CRC, which suggests that the DEGs and the central genes may contribute to the development of new strategies in CRC treatment..

Keywords: colorectal cancer; bioinformatics analysis; microarray-based gene expression; differentially expressed gene; protein-protein interaction.

DOI: 10.37813/j.mbn.2707-4692.006

Published on: 05 August 2020

Viewed: 318 / Downloaded: 4713 / Cited:0

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