重度肥胖的循环脂质组。

Mohammad Yaser Anwar, Heather M Highland, Alexandra B Palmer, Thy Duong, Zhaotong Lin, Wanying Zhu, Jessica Sprinkles, Daeeun Kim, Kristin L Young, Hung-Hsin Chen, Mohanraj Krishnan, Absalon Gutierrez, Rashedeh Roshani, Elizabeth G Frankel, Joshua Landman, Penny Gordon-Larsen, Miryoung Lee, Susan P Fisher-Hoch, Joseph B McCormick, Joanne Curran, John Blangero, Peter J Meikle, Corey Giles, Jennifer E Below, Kari E North, Mariaelisa Graff
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引用次数: 0

摘要

背景:重度肥胖(SevO;BMI≥40 kg/m²)在全球范围内迅速增加,对少数民族人群的影响尤为严重。然而,在机械和组学文献中,它仍未得到充分的研究。脂质代谢在肥胖相关的心脏代谢疾病(CMD)中起着核心作用,但分子脂质物种与SevO之间的关系知之甚少,特别是在高危人群中。方法:我们分析了来自卡梅隆县西班牙裔队列(CCHC)的578名参与者的空腹血浆脂质组学和遗传数据,将患有SevO的人(n=185)与非肥胖对照组(n=393)进行比较。对49个纲830种循环脂质进行了定量分析。使用逻辑回归和潜在结构判别分析(OPLS-DA)的正交预测来评估个体脂质与SevO之间的关系。使用网络反卷积孟德尔随机化(NDMR)评估了潜在的因果关系,并发现有影响的脂质与CMD特征和dxa衍生的身体成分相关。结果:与对照组相比,SevO患者表现出更多的不良心脏代谢危险因素。脂质组学分析显示了广泛的变化:与对照组(BMI≥18.5和bb0 25 kg/m²)相比,SevO患者的短甘油、饱和甘油和单不饱和甘油三酰甘油显著升高,而溶血磷脂、磷脂原、胆固醇酯和长链脂质降低。OPLS-DA鉴定了300多种有影响的脂质物种,预测了SevO状态。NDMR分析暗示特定的三酰甘油种类可能与SevO状态有因果关系。影响血脂与胰岛素抵抗、肝脂肪变性、体脂测量和HDL-C相关(绝对值范围为0.2-0.4)。结论:我们的研究结果表明,SevO的特点是循环脂质组的广泛和脂类特异性失调,与心脏代谢风险密切相关。值得注意的是,含有较短酰基链的三酰基甘油作为SevO的独特脂质特征出现-持续升高,强烈区分SevO状态,并且独特地表现出一致的因果关系。我们的研究结果为支持严重肥胖的一种新的脂质组学途径提供了令人信服的证据,并为未来研究其遗传、饮食和机制决定因素强调了关键途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Circulating Lipidome In Severe Obesity.

Background: Severe obesity (SevO; BMI ≥40 kg/m2) is rapidly increasing globally and disproportionately affects minority populations. However, it remains understudied in mechanistic and omics literature. Lipid metabolism plays a central role in obesity-related cardiometabolic disease (CMD), but the relationship between molecular lipid species and SevO is poorly understood, particularly in high-risk groups.

Methods: We analyzed 578 participants from the Cameron County Hispanic Cohort (CCHC) with fasting plasma lipidomic and genetic data, comparing those living with SevO (n=185) to non-obese controls (n=393). A total of 830 circulating lipid species across 49 classes were quantified. Associations between individual lipids and SevO were assessed using logistic regression and orthogonal projections to latent structures discriminant analysis (OPLS-DA). Potential causal links were assessed using network deconvolution mendelian randomization (NDMR), and influential lipids were correlated with CMD traits and DXA-derived body composition.

Results: Participants with SevO exhibited statistically significantly more adverse cardiometabolic risk factors than controls. Lipidomic profiling revealed broad alterations: shorter, saturated, and monounsaturated triacylglycerols were markedly elevated, while lysophospholipids, plasmalogens, cholesteryl esters, and long-chain lipids were reduced in individuals with SevO when compared to controls (BMI ≥ 18.5 and > 25 kg/m2). OPLS-DA identified over 300 influential lipid species predictive of SevO status. NDMR analyses implicated specific triacylglycerol species as potentially causally linked with SevO status. Influential lipids correlated with insulin resistance, liver steatosis, body fat measures, and HDL-C (absolute value ranges 0.2-0.4).

Conclusions: Our findings reveal that SevO is marked by extensive and lipid class-specific dysregulation of the circulating lipidome, with strong links to cardiometabolic risk. Notably, triacylglycerols containing shorter length acyl chains emerged as a distinctive lipid signature of SevO-consistently elevated, strongly discriminative of SevO status, and uniquely exhibiting a consistent causal relationship. Our results provide compelling evidence for a novel lipidomic pathway underpinning severe obesity and underscore critical avenues for future research into its genetic, dietary, and mechanistic determinants.

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