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A lipidome-wide association study of the lipoprotein insulin resistance index.
Lipids in Health and Disease ( IF 3.9 ) Pub Date : 2020-06-25 , DOI: 10.1186/s12944-020-01321-8
Minoo Bagheri 1, 2 , Hemant K Tiwari 3 , Anarina L Murillo 3 , Rafet Al-Tobasei 3 , Donna K Arnett 4 , Tobias Kind 5 , Dinesh Kumar Barupal 5 , Sili Fan 5 , Oliver Fiehn 5 , Jeff O'connell 6 , May Montasser 6 , Stella Aslibekyan 1 , Marguerite R Irvin 1
Affiliation  

The lipoprotein insulin resistance (LPIR) score was shown to predict insulin resistance (IR) and type 2 diabetes (T2D) in healthy adults. However, the molecular basis underlying the LPIR utility for classification remains unclear. To identify small molecule lipids associated with variation in the LPIR score, a weighted index of lipoproteins measured by nuclear magnetic resonance, in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study (n = 980). Linear mixed effects models were used to test the association between the LPIR score and 413 lipid species and their principal component analysis-derived groups. Significant associations were tested for replication with homeostatic model assessment-IR (HOMA-IR), a phenotype correlated with the LPIR score (r = 0.48, p < 0.001), in the Heredity and Phenotype Intervention (HAPI) Heart Study (n = 590). In GOLDN, 319 lipids were associated with the LPIR score (false discovery rate-adjusted p-values ranging from 4.59 × 10− 161 to 49.50 × 10− 3). Factors 1 (triglycerides and diglycerides/storage lipids) and 3 (mixed lipids) were positively (β = 0.025, p = 4.52 × 10− 71 and β = 0.021, p = 5.84 × 10− 41, respectively) and factor 2 (phospholipids/non-storage lipids) was inversely (β = − 0.013, p = 2.28 × 10− 18) associated with the LPIR score. These findings were replicated for HOMA-IR in the HAPI Heart Study (β = 0.10, p = 1.21 × 10− 02 for storage, β = − 0.13, p = 3.14 × 10− 04 for non-storage, and β = 0.19, p = 8.40 × 10− 07 for mixed lipids). Non-storage lipidomics species show a significant inverse association with the LPIR metabolic dysfunction score and present a promising focus for future therapeutic and prevention studies.

中文翻译:

脂蛋白胰岛素抵抗指数的全脂质组关联研究。

脂蛋白胰岛素抵抗(LPIR)得分显示可预测健康成年人的胰岛素抵抗(IR)和2型糖尿病(T2D)。但是,用于分类的LPIR实用程序的分子基础仍然不清楚。为确定与LPIR得分变化相关的小分子脂质,LPIR得分是通过核磁共振测量的脂蛋白加权指数,在降脂药物和饮食网络遗传学(GOLDN)研究中(n = 980)。线性混合效应模型用于检验LPIR得分与413种脂质及其主要成分分析来源的组之间的关联。使用稳态模型评估IR(HOMA-IR)(与LPIR评分相关的表型)对显着的关联进行了复制测试(r = 0.48,p <0.001),遗传和表型干预(HAPI)心脏研究的研究(n = 590)。在GOLDN中,有319种脂质与LPIR得分相关(错误发现率调整后的p值范围为4.59×10−161至49.50×10-3)。因子1(甘油三酸酯和甘油二酸酯/存储脂质)和3(混合脂质)呈阳性(分别为β= 0.025,p = 4.52×10- 71和β= 0.021,p = 5.84×10- 41)和因子2(磷脂/非存储脂质)与LPIR得分呈反比(β= − 0.013,p = 2.28×10−18)。这些发现在HAPI心脏研究的HOMA-IR中得到了重复(β= 0.10,p = 1.21×10−02用于存储,β= − 0.13,p = 3.14×10−04用于非存储,β= 0.19,对于混合脂质,p = 8.40×10−07)。
更新日期:2020-06-25
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