Targeted lipidomics reveals associations between serum sphingolipids and insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp
Targeted lipidomics reveals associations between serum sphingolipids and insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp
复制标题
靶向脂质组学揭示血清鞘脂与高胰岛素正常血糖钳测量的胰岛素敏感性之间的关联
DOI:
10.1016/j.diabres.2021.108699
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发表时间:
2021
影响因子:
5.1
通讯作者:
Zhou Hongwen
中科院分区:
文献类型:
--
作者:
Ye Jingya;Ye Xuan;Jiang Wanzi;Lu Chenyan;Geng Xiaomei;Zhao Chenxi;Ma Yizhe;Yang Panpan;Lam Sin Man;Shui Guanghou;Yang Tao;Li John Zhong;Gong Yingyun;Fu Zhenzhen;Zhou Hongwen
AimsSphingolipids(SPs) and their substrates and constituents, fatty acids (FAs), are implicated in the pathogenesis of various metabolic diseases associated. This study aimed to systematically investigate the associations between serum sphingolipids and insulin sensitivity as well as insulin secretion.MethodsWe conducted a lipidomics evaluation of molecularly distinct SPs in the serum of 86 consecutive Chinese adults using LC/MS. The glucose infusion rate over 30 min (GIR30) was measured under steady conditions to assess insulin sensitivity by the gold standard hyperinsulinemic-euglycemic clamp. We created the ROC curves to detect the serum SMs diagnostic value.ResultsTotal and subspecies of serum SMs and globotriaosyl ceramides (Gb3s) were positively related to GIR30, free FAs (FFA 16:1, FFA20:4), some long chain GM3 and complex ceramide GluCers showed strong negative correlations with GIR30. Notably, ROC curves showed that SM/Cer and SM d18:0/26:0 may be good serum lipid predictors of diagnostic indicators of insulin sensitivity close to conventional clinical indexes such as 1/HOMA-IR (areas under the curve > 0.80) based on GIR30as standard diagnostic criteria, and (SM/Cer)/(BMI*LDLc) areas under the curve = 0.93) is the best.ConclusionsThese results provide novel associations between serum sphingolipid between insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp and identify two specific SPs that may represent prognostic biomarkers for insulin sensitivity.