MTA-DE Public Health Research Group, University of Debrecen, 4032 Debrecen, Hungary.
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Biomolecules. 2021 Feb 21;11(2):326. doi: 10.3390/biom11020326.
Obesity is an increasing public health concern both in the developed and developing countries. Previous studies have demonstrated that considerable alterations in lipid metabolism and consequently marked changes in lipid profile are associated with the onset and progression of obesity-related complications. To characterize the full spectrum of obesity-induced changes in lipid metabolism, direct infusion tandem mass spectrometry analysis is the most promising approach. To better understand which of the many lipid species are the most strongly associated with obesity, the aim of our work was to measure and profile plasma lipids in normal ( = 57), overweight ( = 31), and obese ( = 48) individuals randomly selected from samples of Hungarian general and Roma populations by using the targeted quantitative lipidomics platform, the Lipidyzer. Principal component and stepwise regression analyses were used to identify the most significant clusters and species of lipids by increasing body mass index (BMI). From the 18 clusters identified four key lipid species (PE P-16:0/20:3, TG 20:4_33:1, TG 22:6_36:4, TG 18:3_33:0) showed a strong significant positive and three others (Hex-Cer 18:1;O2/22:0, LPC 18:2, PC 18:1_18:1) significant negative association with BMI. Compared to individual lipid species alone, the lipid species ratio (LSR) we introduced showed an extremely strong, at least 9 orders of magnitude stronger, association with BMI. The LSR can be used as a sensitive and predictive indicator to monitor obesity-related alterations in human plasma and control the effectiveness of treatment of obesity associated non-communicable diseases.
肥胖是一个日益严重的公共卫生问题，无论是在发达国家还是发展中国家。先前的研究表明，脂质代谢的显著改变，以及随之而来的脂质谱的显著变化，与肥胖相关并发症的发生和发展有关。为了描述脂质代谢在肥胖中的全面变化，直接进样串联质谱分析是最有前途的方法。为了更好地了解与肥胖最密切相关的众多脂质种类中的哪一种，我们的工作旨在通过使用靶向定量脂质组学平台 Lipidyzer，测量和分析来自匈牙利普通人群和罗姆人群样本的正常（=57）、超重（=31）和肥胖（=48）个体的血浆脂质，并对其进行分析。主成分和逐步回归分析用于通过增加体重指数（BMI）来确定最显著的脂质簇和脂质种类。在所确定的 18 个簇中，有四个关键脂质种类（PE P-16:0/20:3、TG 20:4_33:1、TG 22:6_36:4、TG 18:3_33:0）显示出与 BMI 呈强烈的正相关，而另外三个脂质种类（Hex-Cer 18:1；O2/22:0、LPC 18:2、PC 18:1_18:1）与 BMI 呈显著负相关。与单独的脂质种类相比，我们引入的脂质种类比（LSR）与 BMI 具有极强的关联，至少强 9 个数量级。LSR 可作为监测人类血浆中肥胖相关变化的敏感和预测指标，并控制肥胖相关非传染性疾病治疗的有效性。
