Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes.

Background: Type 2 diabetes is a common disease around the world and its major complications are diabetic retinopathy (DR) and diabetic kidney disease (DKD). Persons with type 2 diabetes with complications, especially who have both DR and DKD, have poorer prognoses than those without complications. Therefore, prevention and early identification of the complications of type 2 diabetes are necessary to improve the prognosis of persons with type 2 diabetes. The aim of this study is to identify factors associated with the development of multiple complications of type 2 diabetes.
Methods: We profiled serum metabolites of persons with type 2 diabetes with both DR and DKD (N = 141) and without complications (N = 159) using a comprehensive non-targeted metabolomics approach with mass spectrometry. Based on the serum metabolite profiles, case-control comparisons and metabolite set enrichment analysis (MSEA) were performed.
Results: Here we show that five metabolites (cyclohexylamine, P = 4.5 × 10 ^-6 ; 1,2-distearoyl-glycero-3-phosphocholine, P = 7.3 × 10 ^-6 ; piperidine, P = 4.8 × 10 ^-4 ; N-acetylneuraminic acid, P = 5.1 × 10 ^-4 ; stearoyl ethanolamide, P = 6.8 × 10 ^-4 ) are significantly increased in those with the complications. MSEA identifies fatty acid biosynthesis as the type 2 diabetes complications-associated biological pathway (P = 0.0020).
Conclusions: Our metabolome analysis identifies the serum metabolite features of the persons with type 2 diabetes with multiple complications, which could potentially be used as biomarkers.
(© 2023. The Author(s).)