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1.
J Diabetes Investig ; 14(1): 102-110, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36208067

ABSTRACT

AIMS/INTRODUCTION: Hypertriglyceridemia is common in patients with diabetes. Although the fatty acid (FA) composition of triglycerides (TGs) is suggested to be related to the pathology of diabetes and its complications, changes in the fatty acid composition caused by diabetes treatment remain unclear. This study aimed to identify short-term changes in the fatty acid composition of plasma triglycerides after diabetes treatment. MATERIALS AND METHODS: This study was a sub-analysis of a prospective observational study of patients with type 2 diabetes aged between 20 and 75 years who were hospitalized to improve glycemic control (n = 31). A lipidomic analysis of plasma samples on the 2nd and 16th hospital days was conducted by supercritical fluid chromatography coupled with mass spectrometry. RESULTS: In total, 104 types of triglycerides with different compositions were identified. Most of them tended to decrease after treatment. In particular, triglycerides with a lower carbon number and fewer double bonds showed a relatively larger reduction. The inclusion of FA 14:0 (myristic acid), as a constituent of triglyceride, was significantly associated with a more than 50%, and statistically significant, reduction (odds ratio 39.0; P < 0.001). The total amount of FA 14:0 as a constituent of triglycerides also decreased significantly, and its rate of decrease was the greatest of all the fatty acid constituents. CONCLUSIONS: A 2 week comprehensive risk management for diabetes resulted in decreased levels of plasma triglycerides and a change in the fatty acid composition of triglycerides, characterized by a relatively large reduction in FA 14:0 as a constituent of triglycerides.


Subject(s)
Chromatography, Supercritical Fluid , Diabetes Mellitus, Type 2 , Humans , Young Adult , Adult , Middle Aged , Aged , Fatty Acids , Triglycerides , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Lipidomics , Mass Spectrometry , Risk Management
2.
J Diabetes Investig ; 14(1): 111-121, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36151993

ABSTRACT

AIMS/INTRODUCTION: In addition to absolute insulin deficiency, dysregulated glucagon in type 1 diabetes is considered pathophysiologically important. Previously, we confirmed the presence of dysregulated glucagon in Japanese patients with type 1 diabetes, and found a significant correlation between plasma glucagon and blood urea nitrogen levels, suggesting an association between glucagon and amino acid metabolism. In this study, we evaluated plasma amino acid levels in Japanese patients with type 1 diabetes in the context of their functional relationship with glucagon. MATERIALS AND METHODS: We assessed plasma free amino acid levels using liquid chromatography-mass spectrometry in 77 Japanese patients with type 1 diabetes, and statistically analyzed their characteristics and relationships with clinical parameters, including glucagon. RESULTS: Participants with type 1 diabetes showed a large decrease in glutamate levels together with a characteristic change in plasma free amino acid profiles. The network structural prediction analyses showed correlations between each amino acid and glucagon in type 1 diabetes. CONCLUSIONS: Participants with type 1 diabetes showed characteristic changes in plasma glutamate levels and free amino acid profiles compared with controls and type 2 diabetes patients. Glucagon showed a closer correlation with amino acids than with parameters of glucose metabolism, suggesting that type 1 diabetes includes dysregulation in amino acids through dysregulated glucagon from remaining pancreatic α-cells, together with that in glucose by insulin deficiency.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Humans , Amino Acids , Glucagon , Glutamic Acid , East Asian People , Insulin , Blood Glucose/metabolism
3.
J Diabetes Investig ; 12(12): 2232-2241, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34032389

ABSTRACT

AIMS/INTRODUCTION: Diabetes patients develop a variety of metabolic abnormalities in addition to hyperglycemia. However, details regarding change in various metabolites after comprehensive diabetes treatment remain unknown. This study aimed to identify the short-term change in metabolome in inpatients who were subject to comprehensive diabetes treatment, using gas chromatography/mass spectrometry-based non-target metabolomics techniques. MATERIALS AND METHODS: Participants of the present study were randomly recruited from the patients with type 2 diabetes hospitalized due to problems with glycemic control (n = 31) and volunteers without diabetes (n = 30), both of whom were aged between 20 and 75 years. A metabolomic analysis of fasting plasma samples on the 2nd (pre-treatment) and 16th hospital (post-treatment) day with gas chromatography/mass spectrometry using a multiple reaction monitoring mode was carried out. RESULTS: A principal component analysis showed that metabolome of fasting plasma was different between individuals with and without diabetes. The metabolome of fasting plasma in diabetes patients after treatment was different from that of pre-treatment, as well as individuals without diabetes. Many amino acids (proline, glycine, serine, threonine, methionine, pyroglutamic acid, glutamine and lysine) were significantly increased by >10% after administering the inpatient diabetes treatment. A hierarchical clustering analysis showed that in the case of patients with markedly decreased monosaccharide levels and increased 1,5-anhydroglucitol, the levels of amino acids increased more significantly. CONCLUSIONS: After a 2-week comprehensive treatment, the plasma levels of various amino acids increased in conjunction with the reduction in monosaccharide levels in poorly controlled type 2 diabetes patients.


Subject(s)
Diabetes Mellitus, Type 2/blood , Gas Chromatography-Mass Spectrometry , Glycemic Control/statistics & numerical data , Metabolome , Metabolomics/methods , Adult , Aged , Amino Acids/blood , Case-Control Studies , Cluster Analysis , Diabetes Mellitus, Type 2/drug therapy , Fasting/blood , Female , Glycemic Control/methods , Humans , Inpatients/statistics & numerical data , Male , Middle Aged , Monosaccharides/blood , Principal Component Analysis , Prospective Studies , Young Adult
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