4.5 Article

Targeted lipidomics reveals associations between serum sphingolipids and insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp

Journal

DIABETES RESEARCH AND CLINICAL PRACTICE
Volume 173, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.diabres.2021.108699

Keywords

Lipidomics; Sphingolipids; Insulin sensitivity; Clamp; Insulin secretion

Funding

  1. National Key R&D Program of China [2018YFA0506904]
  2. National Natural Science Foundation of China [91854122, 81670723, 31900832]
  3. revitalize and defend the key talent's subsidy project in science and education of department of public health of Jiangsu Province [ZDRCA2016017]
  4. Jiangsu Science and Technology Office [BK20191074]

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The study aimed to investigate the associations between serum sphingolipids and insulin sensitivity as well as insulin secretion. The results showed positive correlations between certain subspecies of serum sphingolipids and insulin sensitivity, while negative correlations were observed with specific SPs. ROC curves indicated that certain serum sphingolipids could serve as good predictors of insulin sensitivity.
Aims: Sphingolipids(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. Methods: We 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 (GIR(30)) 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. Results: Total and subspecies of serum SMs and globotriaosyl ceramides (Gb3s) were positively related to GIR(30), free FAs (FFA 16:1, FFA20:4), some long chain GM3 and complex ceramide GluCers showed strong negative correlations with GIR(30). 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 GIR(30) as standard diagnostic criteria, and (SM/ Cer)/(BMI*LDLc) areas under the curve = 0.93) is the best. Conclusions: These 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. (C) 2021 Published by Elsevier B.V.

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