Markers for obese and non-obese Type 2 diabetes identified using whole blood metabolomics

• Published in: Scientific reports Vol. 13; no. 1; pp. 2460 - 12
• Main Authors: Teruya, Takayuki, Sunagawa, Sumito, Mori, Ayaka, Masuzaki, Hiroaki, Yanagida, Mitsuhiro
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.02.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/45; 631/45/320; 692/53; Amino acids; Bases (nucleic acids); Biomarkers; Correlation analysis; Diabetes; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - metabolism; Erythrocytes; Glycated Hemoglobin; Humanities and Social Sciences; Humans; Metabolism; Metabolites; Metabolomics; multidisciplinary; Obesity; Obesity - metabolism; Science; Science (multidisciplinary)
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-29619-4

Definitive differences in blood metabolite profiles between obese and non-obese Type 2 diabetes (T2D) have not been established. We performed an LC–MS-based non-targeted metabolomic analysis of whole blood samples collected from subjects classified into 4 types, based on the presence or absence of obesity and T2D. Of the 125 compounds identified, 20, comprising mainly nucleobases and glucose metabolites, showed significant increases or decreases in the T2D group. These included cytidine, UDP-glucuronate, UMP, 6-phosphogluconate, and pentose-phosphate. Among those 20 compounds, 11 enriched in red blood cells (RBCs) have rarely been studied in the context of diabetes, indicating that RBC metabolism is more extensively disrupted than previously known. Correlation analysis revealed that these T2D markers include 15 HbA1c-associated and 5 irrelevant compounds that may reflect diabetic conditions by a different mechanism than that of HbA1c. In the obese group, enhanced protein and fatty acid catabolism causes increases in 13 compounds, including methylated or acetylated amino acids and short-chain carnitines. Our study, which may be considered a pilot investigation, suggests that changes in blood metabolism due to obesity and diabetes are large, but essentially independent.