COX and PTGDS Gene Expression Levels in PGD2 Synthesis Pathway are Correlated with miR-520 in Patients with Vessel Restenosis

Rezaee, Shima; Kakavandi, Naser; Shabani, Mohammad; Khosravi, Mohsen; Hosseini‐Fard, Seyed Reza; Najafi, Mohammad

doi:10.2174/1871530320666200511012142

Cited by 7 publications

(4 citation statements)

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“…PTGDS can restrain vascular smooth muscle cell proliferation and migration [ 35 , 36 ]. Rezaee et al reported that PTGDS overexpression is thought to be a negative compensatory reaction to the inflammatory events elevated by prostaglandins because of its anti-inflammatory properties [ 37 ]. In addition, the changes in the expression levels of PTGDS are opposite to the expression levels of miR-520 [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

“…Rezaee et al reported that PTGDS overexpression is thought to be a negative compensatory reaction to the inflammatory events elevated by prostaglandins because of its anti-inflammatory properties [ 37 ]. In addition, the changes in the expression levels of PTGDS are opposite to the expression levels of miR-520 [ 37 ]. Therefore, this research suggested that PTGDS is a circulating marker for cardiovascular injuries and the severity of CAD.…”

Section: Discussionmentioning

confidence: 99%

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Lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients: an integrated bioinformatic analysis

et al. 2022

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Background Hyperlipidaemia is an important factor that induces coronary artery disease (CAD). This study aimed to explore the lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients. Methods In the current study, datasets were fetched from the Gene Expression Omnibus (GEO) database and nonnegative matrix factorization clustering was used to establish a new CAD classification based on the gene expression profile of lipid metabolism genes. In addition, this study carried out bioinformatics analysis to explore intrinsic biological and clinical characteristics of the subgroups. Results Data for a total of 615 samples were extracted from the Gene Expression Omnibus database and were associated with clinical information. Then, this study used nonnegative matrix factorization clustering for RNA sequencing data of 581 lipid metabolism relevant genes, and the 296 patients with CAD were classified into three subgroups (NMF1, NMF2, and NMF3). Subjects in subgroup NMF2 tended to have an increased severity of CAD. The CAD index and age of group NMF1 were similar to those of group NMF3, but their intrinsic biological characteristics exhibited significant differences. In addition, weighted gene coexpression network analysis (WGCNA) was used to determine the most important modules and screen lipid metabolism related genes, followed by further analysis of the DEGs in which the significant genes were identified based on clinical information. The progression of coronary atherosclerosis may be influenced by genes such as PTGDS and DGKE. Conclusion Different CAD subgroups have their own intrinsic biological characteristics, indicating that more personalized treatment should be provided to patients in each subgroup, and some lipid metabolism related genes (PDGTS, DGKE and so on) were related significantly with clinical characteristics.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients: an integrated bioinformatic analysis

et al. 2022

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“…We created a network comprising five miRNAs (mir-520a-5p, mir-876-5p, mir-346, mir-193a-3p, and mir-1224-5p) and four diagnostic biomarkers (C1orf105, CCL22, FRK, and GAP43). Shima et al reported that miR-520 found in vascular stenosis was negatively correlated with COX-1 and PTGDS gene expression levels [ 43 ]. TGP inhibits MSU-induced inflammation in THP-1 macrophages by modulating the MALAT1/miR-876-5p/NLRP3 axis [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of potential M2 macrophage-associated diagnostic biomarkers in coronary artery disease

Kong

et al. 2022

Bioscience Reports

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Background: M2 macrophages have been reported to be important in the progression of coronary artery disease (CAD). Thus,this study aims at exploring the diagnostic value of M2 macrophage-associated genes in CAD. Methods: Transcriptome profile of CAD and control samples were downloaded from GEO database. The proportion of immune cells were analysed using CIBERSORT. WGCNA was carried out to screen the relevant module associated with M2 macrophages. Differential CAD and control samples of expressed genes (DEGs) were identified by the limma R package.Functional enrichment analysis by means of the clusterProfiler R package. LASSO and RF algorithms were carried out to select signature genes. ROC curves were plotted to evaluate the diagnostic value of selected signature genes. The expressions of potential diagnostic markers were validated by RT-qPCR. The ceRNA network of diagnostic biomarkers was constructed via miRwalk and Starbase database. CMap database was used to screen candidate drugs in the treatment of CAD by targeting diagnostic biomarkers. Results: A total of 166 M2 macrophage-associated genes were identified by WGCNA. By intersecting those genes with 879 DEGs, 53 M2 macrophage-associated DEGs were obtained in this study. By LASSO, RF, and ROC analyses, C1orf105, CCL22, CRYGB, FRK, GAP43, REG1P, CALB1 and PTPN21 were identified as potential diagnostic biomarkers. RT-qPCR showed the consistent expression patterns of diagnostic biomarkers between GEO dataset and clinical samples. Perhexiline, alimemazine and mecamylamine was found to be potential drugs in the treatment of CAD. Conclusion: We identified eight M2 macrophage-associated diagnostic biomarkers and candidate drugs for the CAD treatment.

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“…As a neuromodulator and trophic factor, PGD2 plays a key role in the central nervous system ( 17 ). Moreover, smooth muscle contraction and relaxation are also controlled by PGD2, and platelet aggregation is inhibited by it ( 18 ). Interestingly, the expression of this gene increased after the patient was given supportive care.…”

Section: Discussionmentioning

confidence: 99%

Transcriptome analysis of childhood Guillain–Barré syndrome associated with supportive care

Liu

Gan

et al. 2022

Front. Pediatr.

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Childhood Guillain–Barré syndrome (GBS) is a rare neurological disease. Early diagnosis followed by precise treatment can reduce mortality. In this study, we collected two transcriptome data between GBS and controls from the publicly available databases (GEO dataset). We identified two distinct down-regulated genes (PTGDS and AR) in GBS by transcriptome analysis (n = 20). Based on the two distinct down-regulated genes in the GBS group, a two-gene diagnostic signature was developed. Moreover, gene expression analysis for the two-gene was performed on a patient with GBS before and after Supportive Care. RT–PCR results show that the expression of PTGDS increased after the patient was given supportive care. Therefore, PTGDS might be considered as a potential target for therapeutic target in GBS.

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COX and PTGDS Gene Expression Levels in PGD2 Synthesis Pathway are Correlated with miR-520 in Patients with Vessel Restenosis

Cited by 7 publications

References 0 publications

Lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients: an integrated bioinformatic analysis

Lipid metabolism patterns and relevant clinical and molecular features of coronary artery disease patients: an integrated bioinformatic analysis

Identification of potential M2 macrophage-associated diagnostic biomarkers in coronary artery disease

Transcriptome analysis of childhood Guillain–Barré syndrome associated with supportive care

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