bioRxivPhysiology
Target lipidomics reveals associations between serum sphingolipids and insulin sensitivity by the glucose clamp
J. Ye, X. Ye, W. Jiang, C. Lu, X. Geng, C. Zhao, Y. Ma, P. Yang, S. M. Lam, G. Shui, T. Yang, J. Z. Li, Y. Gong, Z. Fu, H. Zhou
Abstract
BackgroundThis study aimed to systematically investigate the associations between serum sphingolipids and insulin sensitivity as well as insulin secretion. This study also aimed to reveal potential predictors for insulin sensitivity or give perceptive insight into disease processes. MethodsWe conducted a lipidomics evaluation of molecularly distinct SPs in the serum of 86 consecutive Chinese adults with or without obesity and diabetes using electrospray ionization mass spectrometry coupled with liquid chromatography. The 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 and establish the diagnosis of insulin sensitivity. ResultsDifferential correlation network analysis illustrated correlations amongst lipids, insulin sensitivity, insulin secretion and other clinical indexes. Total and subspecies of serum SMs and globotriaosylceramides (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 (all areas under the curve >0.80) based on GIR30 as standard diagnostic criteria. ConclusionsThese results provide novel associations between serum sphingolipid between insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp. We further identify two specific SPs that may represent prognostic biomarkers for insulin sensitivity.
- organism: human
- assay: metabolomics
- research focus: differential expression
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Nutritional-Metabolic Lipid Profiling with LipidOne for plasma lipidomics interpretation in metabolic health
Dorotea Frongia Mancini, Husam B. R. Alabed, Roberto Maria Pellegrino·bioRxiv·May 18, 2026
- Lipoprotein distribution of Apo CIII glycoforms in healthy men is linked with low TG and increased insulin sensitivity
M. Mar Rodríguez, Pere Rehues, … Josep Ribalta·bioRxiv·Sep 15, 2020
- Magnetic resonance spectroscopy analysis of intramyocellular lipid composition in lipodystrophic patients and athletes
David B Savage, Laura Watson, … Alison Sleigh·bioRxiv·Aug 1, 2018
- Sphingolipid production by gut Bacteroidetes regulates glucose homeostasis
E. L. Johnson, S. L. Heaver, … R. E. Ley·bioRxiv·May 9, 2019
- Very long-chain ceramides in muscle associate with insulin resistance independent of obesity
Søren Madsen, Harry B. Cutler, … David Ernest James·bioRxiv·Mar 4, 2025
- The Lands cycle modulates plasma membrane lipid organization and insulin sensitivity in skeletal muscle
P. J. Ferrara, X. Rong, … K. Funai·bioRxiv·Dec 23, 2019