scholarly journals Effect of dapagliflozin on urine metabolome in patients with type 2 diabetes

2021 ◽  
Author(s):  
Evdoxia Bletsa ◽  
Sebastien Filippas-Dekouan ◽  
Christina Kostara ◽  
Panagiotis Dafopoulos ◽  
Aikaterini Dimou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Ketone Bodies ◽  
Insulin Degludec ◽  
Proton Nuclear Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Metabolome Analysis ◽  
Diabetes Clinic ◽  
Renal Metabolism ◽  
Urine Metabolome

Abstract Context Inhibitors of sodium-glucose cotransporters-2 have cardio- and renoprotective properties. However, the underlying mechanisms remain indeterminate. Objective To evaluate the effect of dapagliflozin on renal metabolism assessed by urine metabolome analysis in patients with type 2 diabetes. Design Prospective cohort study. Setting Outpatient diabetes clinic of a tertiary academic centre. Patients Eighty patients with HbA1c> 7% on metformin monotherapy were prospectively enrolled. Intervention Fifty patients were treated with dapagliflozin for 3 months. To exclude that the changes observed in urine metabolome were merely the result of the improvement in glycemia, 30 patients treated with insulin degludec were used for comparison. Main Outcome Measure: Changes in urine metabolic profile before and after the administration of dapagliflozin and insulin degludec were assessed by Proton-Nuclear Magnetic Resonance spectroscopy (1H-NMR). Results In multivariate analysis urine metabolome was significantly altered by dapagliflozin (R 2X=0.819, R 2Y=0.627, Q 2Y=0.362, and CV-ANOVA, p<0.001) but not insulin. After dapagliflozin the urine concentrations of ketone bodies, lactate, branched chain amino acids (p<0.001), betaine, myo-inositol (p<0001) and N-Methylhydantoin (p< 0.005) were significantly increased. Additionally, the urine levels of alanine, creatine, sarcosine and citrate were also increased (p<0001, <0.0001 and <0.0005, respectively) whereas anserine decreased (p<0005). Conclusions Dapagliflozin significantly affects urine metabolome in patients with type 2 diabetes in a glucose lowering-independent way. Most of the observed changes can be considered beneficial and may contribute to the renoprotective properties of dapagliflozin.

Patients with Type 2 Diabetes (T2D) on the Maximum Dose of Insulin Degludec/Liraglutide (IDegLira) Achieve Glycemic Target—Analyses from the DUAL Program

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1109-P
Author(s):  
LUIGI MENEGHINI ◽  
SULTAN LINJAWI ◽  
PIERRE SERUSCLAT ◽  
TINA VILSBØLL ◽  
BUE F. AGNER ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Maximum Dose ◽  
Insulin Degludec ◽  
Dual Program ◽  
Glycemic Target

135-OR: The Effect of Fixed-Dose Combination of Insulin Degludec and Liraglutide on Serum Lipoprotein Metabolism in Patients with Type 2 Diabetes Mellitus

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 135-OR
Author(s):  
ELENI PAPPA ◽  
CHRISTINA KOSTARA ◽  
CONSTANTINOS TELLIS ◽  
ALEXANDROS D. TSELEPIS ◽  
ELENI BAIRAKTARI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lipoprotein Metabolism ◽  
Serum Lipoprotein ◽  
Insulin Degludec ◽  
Fixed Dose Combination ◽  
Fixed Dose ◽  
Dose Combination

scholarly journals AB0185 PROSPECTIVE PROFILE OF URINE METABOLOME IN RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1392.2-1392
Author(s):  
M. De Oliveira ◽  
P. V. Alabarse ◽  
M. Farinon ◽  
R. Cavalheiro Do Espírito Santo ◽  
R. Xavier
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Disease Activity ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Resonance Spectroscopy ◽  
Metabolome Analysis ◽  
Orthogonal Projections ◽  
Urine Metabolome

Background:Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by increased mortality and associated with metabolic disorders. Since the metabolomic profile is known to vary in response to different inflammatory conditions, metabolome analysis could substantially improve diagnosis and prognosis of RA.Objectives:To analyze the urine metabolome profile in RA patients and correlate it with disease activity changes over 12 monthsMethods:Seventy-nine RA patients, according to ACR/EULAR 2010 classification criteria, between 40 and 70 years old, were recruited and followed for 12 months. Metabolome analysis was performed by Nuclear Magnetic Resonance spectroscopy (NMR), resulting in the identification of 93 metabolites in urine collected at the baseline and after 12 months. Frequency analysis, Pearson Correlation and Multivariate data analysis with orthogonal projections to latent structures (OPLS) method were performed and a statistical significance was considered as p<0.05.Results:The study population was characterized by the majority of women (86.7%), mean age of 56 years old, around 80% with positive anti-CCP or Rheumatoid Factor. During the one year of follow-up, there was no substantial variation in the DAS28 measurement (baseline: 3.8, after 12 months: 4.0). There was no significant correlation between the metabolome pattern and DAS28 score (p>0.05) over time. However, multivariate analysis (OPLS-DA) demonstrated an adequate differentiation of the population with 0.92 of accuracy (Q2: 0.72 and R2: 0.89).There was a significant increase of L-cysteine, choline, L-Phenylalanin, creatine, L-histidine, oxalacetic acid and xanthine, and a decrease of L-threonine, taurine, butyric and gluconic acid (p<0.05) during the follow-up, metabolites that are involved in the skeletal muscle metabolism.Conclusion:The observed biomarkers indicate,as expected, that the RA metabolic profile is associated with inflammation injury and skeletal muscle amino acid metabolism. Correlations with disease activity changes was compromised by the stable disease status during the 12 months. More studies evaluating correlations with skeletal muscle function and mass are underway.Acknowledgments:Disclosure of interest: Marianne Oliveira: None declared, Rafaela Santo: None declared, Mirian Farinon: None declared, Ricardo Xavier Consultant of: Abbvie, Pfizer, Novartis, Janssen, Lilly, RocheDisclosure of Interests:Marianne de Oliveira: None declared, Paulo Vinicius Alabarse: None declared, Mirian Farinon: None declared, Rafaela Cavalheiro do Espírito Santo: None declared, Ricardo Xavier Consultant of: AbbVie, Pfizer, Novartis, Janssen, Eli Lilly, Roche

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