血浆脂质组学分析鉴定了一种与慢性肾脏疾病缺血性卒中相关的新型复杂脂质特征

F. Afshinnia, A. Jadoon, Thekkelnaycke M. Rajendiran, Tanu Soni, Jaeman Byun, G. Michailidis, S. Pennathur
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引用次数: 8

摘要

理由和目的:尽管血脂异常对缺血性卒中有影响,但CKD患者的血浆脂质组学与卒中的相关性尚未研究。本研究旨在确定与中风相关的血脂变化。研究设计:横截面。设置和人群:214名临床表型和资源生物库核心(CPROBE)参与者。采集招募时的临床数据和血浆样本,并通过基于液相色谱/质谱的非靶向平台生成脂质组学数据。预测因素:不同水平的游离脂肪酸、酰基肉毒碱和复合脂质。结果:中风。分析方法:包括使用根据脑卒中患者和非脑卒中患者的错误发现率调整的t检验对脂质进行逐化合物比较,以及应用逻辑回归分析来确定脑卒中的独立脂质预测因子,并估计与其不同水平相关的比值。结果:我们总共鉴定了330个化合物。富集分析显示,差异调节的磷脂酰胆碱(PC)和磷脂酰乙醇胺(PE)在脑卒中中的过度表达(P<0.001)。PC38:4、PE36:4、PC34:0和棕榈酸的丰度显著较高,但纤溶酶基PE(pPE)38:2和PE 32:2在脑卒中患者中的丰度显著较低(P≤0.0014)。调整后,棕榈酸盐和PC38:4的每一个1-SD增加分别与1.84倍(95%CI:1.06–3.20,p=0.031)和1.85倍(1.11–3.05,p=0.018)的中风风险增加独立相关。我们观察到,在中风中,PC、PE、pPE和鞘磷脂的丰度显著增加(p≤0.046)。局限性:样本量小;尚不清楚,如果在中风前发生相同或相反方向的类似变化,因为观察的横截面性质不允许确定时间进程对脂质变化的影响。结论:CKD和卒中史患者棕榈酸、PC和PE的差异调节可能是一个以前未被认识的风险因素,可能是风险分层和修改的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasma lipidomic profiling identifies a novel complex lipid signature associated with ischemic stroke in chronic kidney disease
Rationale and objective: Despite contribution of dyslipidemia to ischemic stroke, plasma lipidomic correlates of stroke in CKD is not studied. This study is aimed to identify plasma lipid alterations associated with stroke. Study design: Cross sectional. Setting and population: 214 participants of Clinical Phenotyping and Resource Biobank Core (CPROBE). Clinical data and plasma samples at the time of recruitment were obtained and used to generate lipidomic data by liquid chromatography/mass-spectrometry-based untargeted platform. Predictors: Various levels of free fatty acids, acylcarnitines and complex lipids. Outcome: Stroke. Analytic approach: includes compound by compound comparison of lipids using t-test adjusted by false discovery rate in patients with and without stroke, and application of logistic regression analysis to identify independent lipid predictors of stroke and to estimate the odds associated with their various levels. Results: Overall, we identified 330 compounds. Enrichment analysis revealed overrepresentation of differentially regulated phosphatidylcholines (PC)s and phosphatidylethanolamines (PE)s were overrepresented in stroke (P<0.001). Abundance of PC38:4, PE36:4, PC34:0, and palmitate were significantly higher, but those of plasmenyl-PE (pPE)38:2, and PE 32:2 was significantly lower in patients with stroke (p≤0.0014). After adjusting, each 1-SD increase in palmitate and PC38:4 was independently associated with 1.84 fold (95% CI: 1.06–3.20, p=0.031) and 1.84 fold (1.11–3.05, p=0.018) higher risk of stroke, respectively. We observed a significant trend toward higher abundance of PCs, PEs, pPEs, and sphingomyelins in stroke (p≤0.046). Limitations: Small sample size; unclear, if similar changes in the same or opposite direction preceded stroke, as the cross-sectional nature of the observation does not allow determining the effect of time course on lipid alterations. Conclusion: Differential regulation of palmitate, PCs, and PEs in patients with CKD and a history of stroke may represent a previously unrecognized risk factor and might be a target of risk stratification and modification.
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