Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0004153 (atherosclerosis)
 77,401 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The first data on the existence of multiple genomic rearrangements, such as copy number variation (CNV) and copy neutral loss of heterozygosity, in vascular tissues and peripheral blood leukocytes from patients with atherosclerosis, are presented. Compared to internal mammary arteries and peripheral blood leukocytes, right coronary arteries in the atherosclerotic plaque area presented with a higher CNV length and number of genes located in their vicinity. In each of the patients, 6-16% of CNVs were common to the three types of tissues examined. Therefore, most of the copy number variations in the tissues affected by atherosclerosis (from 68 to 91% in each of the patients) were of somatic origin. The gains in 3p21.31 (CACNA2D2), 7q32.1 (FLNC), 19p13.3 (C19orf29, PIP5K1C), and 21q22.3 (COL6A1) were detected in vascular tissues but not in peripheral blood leukocytes. Moreover, the gain in 7p15.2 (SKAP2), detected in the patients with atherosclerosis, did not overlap with any CNV regions currently reported in The Database of Genomic Variants. The loss of heterozygosity in 12 out of 13 chromosomal regions was copy neutral and covered tumor suppressor genes (SFRP1, CEBPD, RB1CC1, DIRAS3, TUSC3, and ZDHHC2).
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PMID:[Somatic genome variations in vascular tissues and peripheral blood leukocytes in patients with atherosclerosis]. 2573 Oct 28

Coronary heart disease (CHD) is common in patients with diabetes mellitus (DM), however, the relevant mechanism remains elusive. The whole blood gene expression profiles of healthy control, patients with DM, patients with DM and CHD (DMCHD) were used to performed weight gene correlation network analysis (WGCNA) to identify the gene modules associated with DM-related atherogenesis. The candidate module was significantly involved in immune- and T cell activity-related biological process. GSEA results suggested that lysosome and apoptosis were enriched in DM and DMCHD samples. The protein-protein-KEGG pathway network may reveal the potential transcriptional regulatory network involving in DM-related atherosclerosis. Nineteen genes (RTKN, DCP1B, PDZD4, CACNA2D2, TSEN54, PVRIG, PLEKHF1, NKG7, ZAP70, NUDCD3, SLAMF6, CCDC107, NAG6, ZDHHC14, EOMES, VIL2, WDR54, DMAP1, and PMPCA) were considered as DM-related atherogenesis genes (DRAGs). The Gene Set Variation Analysis (GSVA) score of the DRAG set gradually increased in the control, DM and DMCHD. ROC curve analysis showed that ZAP70, TSEN54, and PLEKHF1 may be potential blood circulation biomarkers for DMCHD in patients with DM. In conclusion, we identified nineteen hallmark genes involving in DM-related atherogenesis and constructed a potential transcriptional regulatory network involving in DM-related atherosclerosis.
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PMID:Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis. 3319 66