Multi-omics study identifies novel signatures of DNA/RNA, amino acid, peptide, and lipid metabolism by simulated diabetes on coronary endothelial cells.
Multi-omics study identifies novel signatures of DNA/RNA, amino acid, peptide, and lipid metabolism by simulated diabetes on coronary endothelial cells.
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DOI:
10.1038/s41598-022-16300-5
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发表时间:
2022-07-14
影响因子:
4.6
通讯作者:
Villarreal, Francisco
中科院分区:
文献类型:
--
作者:
Moreno-Ulloa, Aldo;Delgado-De la Herran, Hilda Carolina;Alvarez-Delgado, Carolina;Mendoza-Porras, Omar;Carballo-Castaneda, Rommel A.;Donis-Maturano, Luis;Villarreal, Francisco
Coronary artery endothelial cells (CAEC) exert an important role in the development of cardiovascular disease. Dysfunction of CAEC is associated with cardiovascular disease in subjects with type 2 diabetes mellitus (T2DM). However, comprehensive studies of the effects that a diabetic environment exerts on this cellular type are scarce. The present study characterized the molecular perturbations occurring on cultured bovine CAEC subjected to a prolonged diabetic environment (high glucose and high insulin). Changes at the metabolite and peptide level were assessed by Liquid Chromatography–Mass Spectrometry (LC–MS2) and chemoinformatics. The results were integrated with published LC–MS2-based quantitative proteomics on the same in vitro model. Our findings were consistent with reports on other endothelial cell types and identified novel signatures of DNA/RNA, amino acid, peptide, and lipid metabolism in cells under a diabetic environment. Manual data inspection revealed disturbances on tryptophan catabolism and biosynthesis of phenylalanine-based, glutathione-based, and proline-based peptide metabolites. Fluorescence microscopy detected an increase in binucleation in cells under treatment that also occurred when human CAEC were used. This multi-omics study identified particular molecular perturbations in an induced diabetic environment that could help unravel the mechanisms underlying the development of cardiovascular disease in subjects with T2DM.
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影响因子:
4.3
作者:
da Silva RR;Wang M;Nothias LF;van der Hooft JJJ;Caraballo-Rodríguez AM;Fox E;Balunas MJ;Klassen JL;Lopes NP;Dorrestein PC
通讯作者:
Dorrestein PC
影响因子:
9.8
作者:
Elmasri, Harun;Ghelfi, Elisa;Yu, Chen-wei;Traphagen, Samantha;Cernadas, Manuela;Cao, Haiming;Shi, Guo-Ping;Plutzky, Jorge;Sahin, Mustafa;Hotamisligil, Gokhan;Cataltepe, Sule
通讯作者:
Cataltepe, Sule
影响因子:
8.6
作者:
Djoumbou Feunang Y;Eisner R;Knox C;Chepelev L;Hastings J;Owen G;Fahy E;Steinbeck C;Subramanian S;Bolton E;Greiner R;Wishart DS
通讯作者:
Wishart DS
影响因子:
9.8
作者:
Brigstock, David R.
通讯作者:
Brigstock, David R.
影响因子:
10.6
作者:
Forman, Henry Jay;Zhang, Hongqiao;Rinna, Alessandra
通讯作者:
Rinna, Alessandra