Key result
Integrated lipid biomarker signature effectively diagnoses prediabetes and T2DM with ~0.89 peak AUC.
Why the study?
Analyses of lipid metabolic profiles in T2DM have the potential to permit development of an integrated lipid metabolite-based biomarker model facilitating early diagnosis and treatment.
Can an integrated serum lipidomic biomarker signature accurately identify Chinese patients with newly diagnosed prediabetes and T2DM?
Population
93 discovery cohort and 440 validation cohort newly diagnosed Chinese participants
Design
Untargeted and targeted lipidomics biomarker discovery and validation study
Authors
Loading...
May support lipidomic screening for prediabetes in Chinese adults; leaves open prospective validation and broader applicability.
Observational (n=533)
Yes
Can an integrated serum lipidomic biomarker signature accurately identify Chinese patients with newly diagnosed prediabetes and T2DM?
A novel 8-lipid biomarker signature accurately identifies newly diagnosed prediabetes and T2DM in Chinese patients, highlighting the role of sphingomyelinase-regulated ceramide homeostasis in diabetes pathogenesis.
Yang et al. (2023) conducted an observational in Prediabetes and Type 2 Diabetes Mellitus (n=533). Integrated lipids biomarker signature vs. Healthy controls was evaluated on Diagnostic accuracy (AUC) of integrated biomarker signature for T2DM. An integrated lipid biomarker signature effectively diagnosed prediabetes and type 2 diabetes mellitus with area under the curve values of 0.841 and 0.894, respectively.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: