scholarly journals Urinary Metabolomic Profiling in Zucker Diabetic Fatty Rats with Type 2 Diabetes Mellitus Treated with Glimepiride, Metformin, and Their Combination

Molecules ◽  
2016 ◽  
Vol 21 (11) ◽  
pp. 1446 ◽  
Author(s):  
Yu Dong ◽  
Yi-Tao Chen ◽  
Yuan-Xiao Yang ◽  
Dan Shou ◽  
Chang-Yu Li
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Metabolomic Profiling ◽  
Zucker Diabetic Fatty Rats

scholarly journals Metabolomic Profiling of Amino Acids in Human Plasma Distinguishes Diabetic Kidney Disease From Type 2 Diabetes Mellitus

2021 ◽  
Vol 8 ◽  
Author(s):  
Chunyu Zhou ◽  
Qing Zhang ◽  
Liqian Lu ◽  
Jiao Wang ◽  
Dongwei Liu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Amino Acids ◽  
Type 2 Diabetes Mellitus ◽  
Plasma Levels ◽  
Diabetic Kidney Disease ◽  
Roc Curves ◽  
Healthy Controls ◽  
Metabolomic Profiling

Background: Diabetic kidney disease (DKD) is a highly prevalent complication in patients with type 2 diabetes mellitus (T2DM). Patients with DKD exhibit changes in plasma levels of amino acids (AAs) due to insulin resistance, reduced protein intake, and impaired renal transport of AAs. The role of AAs in distinguishing DKD from T2DM and healthy controls has yet to be elucidated. This study aimed to investigate the metabolomic profiling of AAs in the plasma of patients with DKD.Methods: We established an ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method to detect the plasma levels of the 20 AAs in healthy controls (n = 112), patients with T2DM (n = 101), and patients with DKD (n = 101). The key AAs associated with DKD were identified by orthogonal partial least-squares discriminant analysis (OPLS-DA) models with loading plots, shared and unique structures (SUS) plots, and variable importance in projection (VIP) values. The discrimination accuracies of these key AAs were then determined by analyses of receiver-operating characteristic (ROC) curves.Results: Metabolomic profiling of plasma revealed significant alterations in levels of the 20 AAs in patients with DKD when compared to those in either patients with T2DM or healthy controls. Metabolomic profiling of the 20 AAs showed a visual separation of patients with DKD from patients with T2DM and healthy controls in OPLS-DA models. Based on loading plots, SUS plots, and VIP values in the OPLS-DA models, we identified valine and cysteine as potential contributors to the progression of DKD from patients with T2DM. Histidine was identified as a key mediator that could distinguish patients with DKD from healthy controls. Plasma levels of histidine and valine were decreased significantly in patients with DKD with a decline in kidney function, and had excellent performance in distinguishing patients with DKD from patients with T2DM and healthy controls according to ROC curves.Conclusion: Plasma levels of histidine and valine were identified as the main AAs that can distinguish patients with DKD. Our findings provide new options for the prevention, treatment, and management of DKD.

1576-P: Metabolomic Profiling of the Dietary Approaches to Stop Hypertension (DASH) Diet: Novel Insights for the Nutritional Epidemiology of Type 2 Diabetes Mellitus (T2DM)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1576-P
Author(s):  
SHAHEN YASHPAL ◽  
ANGELA D. LIESE ◽  
LYNNE E. WAGENKNECHT ◽  
STEVEN M. HAFFNER ◽  
LUKE W. JOHNSTON ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Nutritional Epidemiology ◽  
Dash Diet ◽  
Metabolomic Profiling
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