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本文引用的文献

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Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.大规模血浆脂质组学分析鉴定出可预测二级预防中心血管事件的脂质。
JCI Insight. 2018 Sep 6;3(17). doi: 10.1172/jci.insight.121326.
2
Environmental risk factors for type 1 diabetes.1型糖尿病的环境风险因素。
Lancet. 2016 Jun 4;387(10035):2340-2348. doi: 10.1016/S0140-6736(16)30507-4.
3
A comprehensive lipidomic screen of pancreatic β-cells using mass spectroscopy defines novel features of glucose-stimulated turnover of neutral lipids, sphingolipids and plasmalogens.利用质谱对胰腺β细胞进行全面的脂质组学筛查,确定了葡萄糖刺激下中性脂质、鞘脂和缩醛磷脂周转的新特征。
Mol Metab. 2016 Apr 13;5(6):404-414. doi: 10.1016/j.molmet.2016.04.003. eCollection 2016 Jun.
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An Efficient Single Phase Method for the Extraction of Plasma Lipids.一种高效的单相血浆脂质提取方法。
Metabolites. 2015 Jun 17;5(2):389-403. doi: 10.3390/metabo5020389.
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Optimizing the lipidomics workflow for clinical studies--practical considerations.优化临床研究中的脂质组学工作流程——实际考量
Anal Bioanal Chem. 2015 Jul;407(17):4973-93. doi: 10.1007/s00216-015-8633-2. Epub 2015 Apr 9.
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Redox regulation of inflammation: old elements, a new story.氧化还原调控炎症:旧元素,新故事。
Med Res Rev. 2015 Mar;35(2):306-40. doi: 10.1002/med.21330. Epub 2014 Aug 29.
7
Inclusion of plasma lipid species improves classification of individuals at risk of type 2 diabetes.纳入血浆脂质种类可改善 2 型糖尿病风险个体的分类。
PLoS One. 2013 Oct 8;8(10):e76577. doi: 10.1371/journal.pone.0076577. eCollection 2013.
8
Plasma lipid profiling shows similar associations with prediabetes and type 2 diabetes.血浆脂质谱分析显示与糖尿病前期和 2 型糖尿病具有相似的关联。
PLoS One. 2013 Sep 27;8(9):e74341. doi: 10.1371/journal.pone.0074341. eCollection 2013.
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Decreased cord-blood phospholipids in young age-at-onset type 1 diabetes.脐带血中磷脂在早发 1 型糖尿病中减少。
Diabetes. 2013 Nov;62(11):3951-6. doi: 10.2337/db13-0215. Epub 2013 Aug 8.
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Plasma lipid profiling in a large population-based cohort.大型基于人群的队列中的血浆脂质谱分析。
J Lipid Res. 2013 Oct;54(10):2898-908. doi: 10.1194/jlr.P035808. Epub 2013 Jul 18.

1 型糖尿病发病时的血浆脂质种类可预测 6 个月后残余β细胞功能。

Plasma lipid species at type 1 diabetes onset predict residual beta-cell function after 6 months.

机构信息

Steno Diabetes Center Copenhagen, Niels Steensensvej 2, 2820, Gentofte, Denmark.

Baker IDI Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, Australia.

出版信息

Metabolomics. 2018 Dec 4;14(12):158. doi: 10.1007/s11306-018-1456-3.

DOI:10.1007/s11306-018-1456-3
PMID:30830451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6280838/
Abstract

INTRODUCTION

The identification of metabolomic dysregulation appears promising for the prediction of type 1 diabetes and may also reveal metabolic pathways leading to beta-cell destruction. Recent studies indicate that regulation of multiple phospholipids precede the presence of autoantigens in the development of type 1 diabetes.

OBJECTIVES

We hypothesize that lipid biomarkers in plasma from children with recent onset type 1 diabetes will reflect their remaining beta-cell function and predict future changes in beta-cell function.

METHODS

We performed targeted lipidomic profiling by electrospray ionization tandem mass spectrometry to acquire comparative measures of 354 lipid species covering 25 lipid classes and subclasses in plasma samples from 123 patients < 17 years of age followed prospectively at 1, 3, 6 and 12 months after diagnosis. Lipidomic profiles were analysed using liner regression to investigate the relationship between plasma lipids and meal stimulated C-peptide levels at each time point. P-values were corrected for multiple comparisons by the method of Benjamini and Hochberg.

RESULTS

Linear regression analysis showed that the relative levels of cholesteryl ester, diacylglycerol and triacylglycerol at 1 month were associated to the change in c-peptide levels from 1 to 6 months (corrected p-values of 4.06E-03, 1.72E-02 and 1.72E02, respectively). Medium chain saturated and monounsaturated fatty acids were the major constituents of the di- and triacylglycerol species suggesting a link with increased lipogenesis.

CONCLUSION

These observations support the hypothesis of lipid disturbances as explanatory factors for residual beta-cell function in children with new onset type 1 diabetes.

摘要

简介

代谢组学失调的鉴定似乎有望预测 1 型糖尿病,并且还可能揭示导致β细胞破坏的代谢途径。最近的研究表明,在 1 型糖尿病的发展过程中,多种磷脂的调节先于自身抗原的出现。

目的

我们假设新近诊断为 1 型糖尿病的儿童的血浆中的脂质生物标志物将反映其剩余的β细胞功能,并预测β细胞功能的未来变化。

方法

我们通过电喷雾串联质谱法进行了靶向脂质组学分析,以获取 123 名年龄<17 岁的前瞻性随访患者在诊断后 1、3、6 和 12 个月的血浆样本中 354 种脂质的比较测量值,涵盖 25 种脂质类和亚类。使用线性回归分析来研究每个时间点血浆脂质与餐刺激 C 肽水平之间的关系。通过 Benjamini 和 Hochberg 的方法对多重比较进行了校正。

结果

线性回归分析表明,1 个月时的胆固醇酯、二酰基甘油和三酰基甘油的相对水平与 1 至 6 个月时 C 肽水平的变化相关(校正后的 p 值分别为 4.06E-03、1.72E-02 和 1.72E02)。中链饱和和单不饱和脂肪酸是二酰基和三酰基甘油的主要成分,表明与增加的脂肪生成有关。

结论

这些观察结果支持脂质紊乱作为新诊断为 1 型糖尿病的儿童剩余β细胞功能的解释因素的假设。