循环脂质组支持2型糖尿病发病机制的性别差异。

IF 5 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Madhusmita Rout, Oliver Fiehn, Dharambir K Sanghera
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引用次数: 0

摘要

人类脂质组代谢改变显著影响包括2型糖尿病(T2D)在内的多种慢性疾病。然而,流行病学和临床研究尚未确定有临床意义的T2D脂质标志物。脂肪酸(FAs)是脂类的主干。然而,关于必需脂肪酸(包括omega 3和omega 6)在代谢性疾病发展中的相互矛盾的结果,迫切需要对不同的临床队列(包括代表性不足的人群)进行更深入的评估。本研究调查了3000名亚洲印第安人的脂质组学特征。应用反相液相色谱-精确质谱串联质谱法对血液样本进行非靶向脂质组学分析。游离FAs和溶血磷脂酰胆碱(LPC)升高,鞘磷脂(SM)和磷脂酰胆碱(PC)降低。我们观察到,在调整年龄、性别和BMI后,T2D中必需FAs -FA20:4 (AA)、FA20:5 (EPA)和FA22:6 (DHA)显著增加。然而,大多数ω-3和ω-6脂肪酸在两性肥胖者中减少了2 -6倍。我们还观察到年龄相关脂质模式的性别差异,硫酸胆固醇和LPC 22:6在所有年龄组的男性中都升高,但LPC 22:6在女性绝经后迅速升高,而40岁后男性的SMs增加。机器学习分析确定了长链FAs、基于醚的lpc和临床风险评分是与T2D相关的最具信息量的特征。我们的研究发现脂质组学标记物可能是T2D和肥胖的潜在介质。它们的模式可能是代谢性和心血管疾病发病机制的性别差异的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating lipidome underpins gender differences in the pathogenesis of type 2 diabetes.

Metabolic alterations in human lipidome significantly impact various chronic diseases including type 2 diabetes (T2D). However, epidemiology and clinical studies have yet to identify clinically meaningful lipid markers for T2D. Fatty acids (FAs) are the backbone of lipid species. However, conflicting results on the essential FAs including omega 3 and omega 6 in the development of metabolic diseases urge deeper evaluations of diverse clinical cohorts including underrepresented populations. This study investigated the lipidomics profiles of 3000 individuals from a well-characterized cohort of Asian Indians. Untargeted lipidomic profiles were created using blood samples applying reversed-phase liquid chromatography-accurate mass tandem mass spectrometry. Free FAs and lysophosphatidylcholines (LPC) were upregulated, while sphingomyelin (SM) and phosphatidylcholines (PC) were decreased in T2D. We observed a significant increase of essential FAs -FA20:4 (AA), FA20:5 (EPA), and FA22:6 (DHA) in T2D after adjusting for age, gender, and BMI. However, most ω-3 and ω-6 FAs were reduced by 2 to 6-fold in obesity in both genders. We also observed gender differences in age-associated lipid patterns in which cholesterol sulfate and LPC 22:6 were elevated in all age groups in men, but LPC 22:6 rapidly increased after menopause in women, and SMs increased in men after 40 years. Machine learning analysis identified long-chain FAs, ether-based LPCs, and clinical risk scores among the most informative features associated with T2D. Our study identified lipidomic markers that could be potential mediators of T2D and obesity. Their patterns may underpin sex differences in the pathogenesis of metabolic and cardiovascular diseases.

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来源期刊
Journal of Lipid Research
Journal of Lipid Research 生物-生化与分子生物学
CiteScore
11.10
自引率
4.60%
发文量
146
审稿时长
41 days
期刊介绍: The Journal of Lipid Research (JLR) publishes original articles and reviews in the broadly defined area of biological lipids. We encourage the submission of manuscripts relating to lipids, including those addressing problems in biochemistry, molecular biology, structural biology, cell biology, genetics, molecular medicine, clinical medicine and metabolism. Major criteria for acceptance of articles are new insights into mechanisms of lipid function and metabolism and/or genes regulating lipid metabolism along with sound primary experimental data. Interpretation of the data is the authors’ responsibility, and speculation should be labeled as such. Manuscripts that provide new ways of purifying, identifying and quantifying lipids are invited for the Methods section of the Journal. JLR encourages contributions from investigators in all countries, but articles must be submitted in clear and concise English.
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