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N-乙酰天门冬酰胺与糖尿病患者QTc的关联:一项代谢组学研究

Association of N-Acetyl Asparagine with QTc in Diabetes: A Metabolomics Study.

作者信息

Gravina Giacomo, Moey Melissa Y Y, Prifti Edi, Ichou Farid, Bourron Olivier, Balse Elise, Badillini Fabio, Funck-Brentano Christian, Salem Joe-Elie

机构信息

Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 41390 Gothenburg, Sweden.

Department of Pharmacology and Clinical Investigation Centre (CIC-1901), Pitié-Salpêtrière Hospital, AP-HP, Sorbonne Université, INSERM, F-75013 Paris, France.

出版信息

Biomedicines. 2022 Aug 12;10(8):1955. doi: 10.3390/biomedicines10081955.

Abstract

Changes in the cardio-metabolomics profile and hormonal status have been associated with long QT syndrome, sudden cardiac death and increased mortality. The mechanisms underlying QTc duration are not fully understood. Therefore, an identification of novel markers that complement the diagnosis in these patients is needed. In the present study, we performed untargeted metabolomics on the sera of diabetic patients at a high risk of cardiovascular disease, followed up for 2.55 [2.34-2.88] years (), with the aim of identifying the metabolomic changes associated with QTc. We used independent weighted gene correlation network analysis (WGCNA) to explore the association between metabolites clusters and QTc at T1 (baseline) and T2 (follow up). The overlap of the highly correlated modules at T1 and T2 identified N-Acetyl asparagine as the only metabolite in common, which was involved with the urea cycle and metabolism of arginine, proline, glutamate, aspartate and asparagine. This analysis was confirmed by applying mixed models, further highlighting its association with QTc. In the current study, we were able to identify a metabolite associated with QTc in diabetic patients at two chronological time points, suggesting a previously unrecognized potential role of N-Acetyl asparagine in diabetic patients suffering from long QTc.

摘要

心脏代谢组学特征和激素状态的变化与长QT综合征、心源性猝死及死亡率增加有关。QTc间期的潜在机制尚未完全明确。因此,需要鉴定能够辅助这些患者诊断的新型标志物。在本研究中,我们对心血管疾病高危糖尿病患者的血清进行了非靶向代谢组学分析,并随访2.55[2.34 - 2.88]年,目的是确定与QTc相关的代谢组学变化。我们使用独立加权基因共表达网络分析(WGCNA)来探究T1(基线)和T2(随访)时代谢物簇与QTc之间的关联。T1和T2时高度相关模块的重叠确定N - 乙酰天冬酰胺是唯一的共同代谢物,其参与尿素循环以及精氨酸、脯氨酸、谷氨酸、天冬氨酸和天冬酰胺的代谢。应用混合模型证实了该分析结果,进一步突出了其与QTc的关联关系。在本研究中,我们能够在两个时间点鉴定出糖尿病患者中与QTc相关的一种代谢物,提示N - 乙酰天冬酰胺在长QTc糖尿病患者中存在此前未被认识的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e15/9405979/4413b0e0ebab/biomedicines-10-01955-g001.jpg

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