scholarly journals Identification of pathognomonic purine synthesis biomarkers by metabolomic profiling of adolescents with obesity and type 2 diabetes

2021 ◽  
Author(s):  
Concepcion J ◽  
Chen K ◽  
Saito R ◽  
Gangoiti J ◽  
Mendez E ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Purine Synthesis ◽  
Metabolomic Profiling

scholarly journals SAT-LB048 Identification of Pathognomonic Purine Synthesis Biomarkers by Metabolomic Profiling of Youth with Type 2 Diabetes

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jennifer Concepcion ◽  
Katherine Chen ◽  
Rin Saito ◽  
Eric Mendez ◽  
Jon Gangoiti ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Purine Synthesis ◽  
Metabolomic Profiling

scholarly journals Identification of pathognomonic purine synthesis biomarkers by metabolomic profiling of adolescents with obesity and type 2 diabetes

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234970
Author(s):  
Jennifer Concepcion ◽  
Katherine Chen ◽  
Rintaro Saito ◽  
Jon Gangoiti ◽  
Eric Mendez ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Purine Synthesis ◽  
Metabolomic Profiling

scholarly journals Metabolites in the association between early-life famine exposure and type 2 diabetes in adulthood over a 5-year follow-up period

2021 ◽  
Vol 9 (1) ◽  
pp. e001935
Author(s):  
Yuying Wang ◽  
Fangzhen Xia ◽  
Heng Wan ◽  
Chi Chen ◽  
Yi Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Early Life ◽  
Diabetes Risk ◽  
Exposed Group ◽  
Cross Sectional ◽  
Metabolomic Profiling ◽  
Diabetes Development ◽  
Famine Exposure ◽  
Design And Methods

IntroductionExposure to malnutrition in early life has been found to significantly elevate type 2 diabetes risk in adulthood. However, the changes in metabolites resulting from malnutrition in early life have not been studied. The aim of this study was to identify metabolites with levels associated with type 2 diabetes resulting from exposure to China’s Great Famine (1959–1962).Research design and methodsParticipants were from SPECT-China 2014 and SPECT-China2 2019, two cross-sectional studies performed at the same site. In total, 2171 subjects participated in SPECT-China and SPECT-China2 simultaneously. The sample size of fetal-exposed (1959–1962) versus non-exposed (1963–1974) individuals was 82 vs 79 in 2014 and 97 vs 94 in 2019. Metabolomic profiling was performed between famine-exposed and non-exposed groups.ResultsAmong the different famine exposure groups, the fetal-exposed group (1959–1962) had the greatest incidence rate (12.5%), with an OR of 2.11 (95% CI 1.01 to 4.44), compared with the non-exposed group (1963–1974). Moreover, compared with those in the non-exposed group (1963–1974), four metabolites (indole-3-carbinol (I3C), phosphatidylcholine (PC) (22:6(4Z,7Z,10Z,13Z,16Z,19Z)/16:1(9Z)), pyrimidine, and PC(16:1(9Z)/22:5(4Z,7Z,10Z,13Z,16Z))) showed significantly lower relative intensities in the famine and diabetes groups both in 2014 and 2019. Pyrimidine significantly mediated the association of famine exposure with diabetes, and I3C marginally mediated this association.ConclusionsFamine exposure in the fetal period could increase type 2 diabetes risk in adults, even those in their 60s. I3C and pyrimidine are potential mediators of the effects of famine exposure on diabetes development.

scholarly journals Comprehensive Metabolomic Profiling of Type 2 Diabetes

2015 ◽  
Vol 61 (3) ◽  
pp. 453-455 ◽  
Author(s):  
Yan Zheng ◽  
Frank B Hu
Keyword(s):  
Type 2 Diabetes ◽  
Metabolomic Profiling

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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