The Causal Effect of 179 Plasma Lipid Groups on Immune Thrombocytopenia: A Mendelian Randomized Study.

IF 1.1 4区 医学 Q4 MEDICAL LABORATORY TECHNOLOGY Annals of clinical and laboratory science Pub Date : 2024-07-01
Jizhe Li, Nana Wang, Chen Huang, Yizhi Jiang, Dongping Huang
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引用次数: 0

Abstract

Objective: Immune thrombocytopenia (ITP) is a common bleeding disorder. Although global lipidomic analyses have identified a potential role for lipid species in platelet function, there is currently no evidence to support a causal relationship between plasma lipids and ITP. To investigate this further, we conducted a two-sample Mendelian randomization analysis to determine whether there is a genetically predicted causal relationship between 179 plasma lipid groups and ITP.

Methods: Genome-wide association data from 179 plasma lipid species from 7,174 Finnish subjects were used in a preliminary analysis of ITP GWAS data from the GWAS catalogue database (GCST90018865, case=675, control=488,749). Causal analyses were performed using random inverse variance weighting (IVW) with MR-Egger and weighted median as complementary analyses. Sensitivity analyses were conducted using the MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis. To assess the association of lipid metabolites with the risk of developing ITP, multivariate MR analysis was performed. Significant correlations were found. The final identification of lipid metabolites was further evaluated using the Steiger test for chain imbalance.

Results: The results of this study showed that six plasma lipid species, sterol esters (27:1/20:2) (SE) (odds ratio [OR]: 1.30, 95% confidence interval [CI]: 1.06-1.60, p=0.013), phosphatidylethanolamine (18:0_0:0) (PE) (OR: 1. 46, 95% CI: 1.10-1.95, p=0.009), phosphatidylcholine (16:0_18:3) (PC) (OR: 1.51, 95% CI: 1.12-2.02, p=0.006), phosphatidylcholine-ether (O-16:0_16:0) (PCO) (OR: 0.64, 95% CI: 0. 47-0.88, p = 0.005), phosphatidylethanolamine-ether (O-18:2_20:4) (PEO) (OR: 0.71, 95% CI: 0.55-0.93, p=0.013), triacylglycerol (49:1) (TAG) (OR: 1.65, 95% CI: 1.21-2.24, p=0.001), and ITP were all significantly correlated. MVMR analysis showed that genetically predicted phosphatidylcholine ethers may independently influence ITP without dependence on other metabolites. Triacylglycerol may be affected by other plasma liposomal metabolites and is a risk factor for the development of ITP.

Conclusion: The current work provides evidence for a causal role of six plasma lipids in ITP and provides new perspectives for combining genomics and metabolomics to explore the biological mechanisms of ITP. These findings may contribute to the screening, prevention, and treatment of ITP.

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179 个血浆脂质组对免疫性血小板减少症的因果效应:孟德尔随机研究》。
目的:免疫性血小板减少症(ITP)是一种常见的出血性疾病:免疫性血小板减少症(ITP)是一种常见的出血性疾病。虽然全球脂质体分析发现了脂质物种在血小板功能中的潜在作用,但目前还没有证据支持血浆脂质与 ITP 之间存在因果关系。为了进一步研究这个问题,我们进行了双样本孟德尔随机分析,以确定 179 个血浆脂质组与 ITP 之间是否存在遗传预测的因果关系:在对GWAS目录数据库(GCST90018865,病例=675,对照=488749)中的ITP GWAS数据进行初步分析时,使用了来自7174名芬兰受试者的179种血浆脂质的全基因组关联数据。因果分析采用随机逆方差加权法(IVW),以 MR-Egger 和加权中位数作为补充分析。使用 MR-Egger 截距检验、MR-PRESSO 和遗漏分析进行了敏感性分析。为了评估脂质代谢物与罹患 ITP 风险的关系,进行了多变量 MR 分析。结果发现两者之间存在显著相关性。使用链不平衡 Steiger 检验法进一步评估了脂质代谢物的最终鉴定结果:研究结果显示,六种血浆脂质,甾醇酯(27:1/20:2)(SE)(几率比[OR]:1.30,95%置信区间[CI]:1.06-1.60,P=0.013)、磷脂酰乙醇胺(18:0_0:0)(PE)(OR:1.46,95% CI:1.10-1.95,P=0.009)、磷脂酰胆碱(16:0_18:3)(PC)(OR:1.51,95% CI:1.12-2.02,P=0.006)、磷脂酰胆碱醚(O-16:0_16:0)(PCO)(OR:0.64,95% CI:0.47-0.88,P=0.005)、磷脂酰乙醇胺醚(O-18:2_20:4)(PEO)(OR:0.71,95% CI:0.55-0.93,p=0.013)、三酰甘油(49:1)(TAG)(OR:1.65,95% CI:1.21-2.24,p=0.001)与 ITP 均显著相关。MVMR 分析表明,基因预测的磷脂酰胆碱醚可能会独立影响 ITP,而不依赖于其他代谢物。三酰甘油可能会受到其他血浆脂质体代谢物的影响,是诱发ITP的风险因素:目前的研究为六种血浆脂质在ITP中的因果作用提供了证据,并为结合基因组学和代谢组学探索ITP的生物学机制提供了新的视角。这些发现可能有助于ITP的筛查、预防和治疗。
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来源期刊
Annals of clinical and laboratory science
Annals of clinical and laboratory science 医学-医学实验技术
CiteScore
1.60
自引率
0.00%
发文量
112
审稿时长
6-12 weeks
期刊介绍: The Annals of Clinical & Laboratory Science welcomes manuscripts that report research in clinical science, including pathology, clinical chemistry, biotechnology, molecular biology, cytogenetics, microbiology, immunology, hematology, transfusion medicine, organ and tissue transplantation, therapeutics, toxicology, and clinical informatics.
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