scholarly journals Restoring mitochondrial superoxide levels with elamipretide (MTP-131) protects db/db mice against progression of diabetic kidney disease

2020 ◽  
Vol 295 (21) ◽  
pp. 7249-7260 ◽  
Author(s):  
Satoshi Miyamoto ◽  
Guanshi Zhang ◽  
David Hall ◽  
Peter J. Oates ◽  
Soumya Maity ◽  
...  

Exposure to chronic hyperglycemia because of diabetes mellitus can lead to development and progression of diabetic kidney disease (DKD). We recently reported that reduced superoxide production is associated with mitochondrial dysfunction in the kidneys of mouse models of type 1 DKD. We also demonstrated that humans with DKD have significantly reduced levels of mitochondrion-derived metabolites in their urine. Here we examined renal superoxide production in a type 2 diabetes animal model, the db/db mouse, and the role of a mitochondrial protectant, MTP-131 (also called elamipretide, SS-31, or Bendavia) in restoring renal superoxide production and ameliorating DKD. We found that 18-week-old db/db mice have reduced renal and cardiac superoxide levels, as measured by dihydroethidium oxidation, and increased levels of albuminuria, mesangial matrix accumulation, and urinary H2O2. Administration of MTP-131 significantly inhibited increases in albuminuria, urinary H2O2, and mesangial matrix accumulation in db/db mice and fully preserved levels of renal superoxide production in these mice. MTP-131 also reduced total renal lysocardiolipin and major lysocardiolipin subspecies and preserved lysocardiolipin acyltransferase 1 expression in db/db mice. These results indicate that, in type 2 diabetes, DKD is associated with reduced renal and cardiac superoxide levels and that MTP-131 protects against DKD and preserves physiological superoxide levels, possibly by regulating cardiolipin remodeling.

2020 ◽  
Author(s):  
Sai Deepika ◽  
KN Shashidhar ◽  
A. Raveesha ◽  
C. Muninarayana

Background: Increase in Diabetes Mellitus increases incidence of its Microvascular complications such as diabetic retinopathy, diabetic kidney disease (DKD), neuropathy, stroke and cardio vascular diseases (CVD). Advanced glycation end products promotes Type 2 Diabetes to its major Microvascular complication; diabetic kidney disease or diabetic nephropathy leading to increase in expression of sirtuin1; a regulatory protein mediating deacetylation of histone proteins. In addition to diet and nutrition, environmental changes may increase incidence of disorders, one such factor considered in this study is Fluoride. Objective: Estimation of Sirtuin1 in type 2 diabetes mellitus and diabetic kidney disease and interpreting the outcome by diabetic profiling of patients with controls. Participants: 150 study subjects were recruited for this cross- sectional study divided into 3groups with 50 subjects in each group. Methods: Diabetic and renal profiling was carried by fully automated analyzer available in our hospital facility, eGFR was calculated, sirtuin1 and CML were measured by ELISA, serum and urine fluoride were estimated by Ion Selective Electrode. Results: Significant differences observed in FBS, PPBS and CML of deceased with controls. Least median of sirt1 was observed in diabetic nephropathy (36.9). Also, urine and serum fluoride levels were proportionally balanced in group 1& 2 in contrast with group 3 [0.28 (0.2- 0.54) & 0.2 (0.15- 0.26)]. Conclusion: Decrease in Sirtuin1 in group 3 may be due to chronic hyperglycemia and oxidative stress in diabetes hence, further research on large cohort may aid considering sirtuin1 as a biomarker or therapeutic target in aging disorders.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 443-P
Author(s):  
YOSHINORI KAKUTANI ◽  
MASANORI EMOTO ◽  
YUKO YAMAZAKI ◽  
KOKA MOTOYAMA ◽  
TOMOAKI MORIOKA ◽  
...  

2019 ◽  
Vol 95 (1) ◽  
pp. 178-187 ◽  
Author(s):  
Guozhi Jiang ◽  
Andrea On Yan Luk ◽  
Claudia Ha Ting Tam ◽  
Fangying Xie ◽  
Bendix Carstensen ◽  
...  

2021 ◽  
Vol 18 (3) ◽  
pp. 17-25
Author(s):  
Stoiţă Marcel ◽  
Popa Amorin Remus

Abstract The presence of albuminuria in patients with type 2 diabetes mellitus is a marker of endothelial dysfunction and also one of the criteria for diagnosing diabetic kidney disease. The present study aimed to identify associations between cardiovascular risk factors and renal albumin excretion in a group of 218 patients with type 2 diabetes mellitus. HbA1c values, systolic blood pressure, diastolic blood pressure were statistically significantly higher in patients with microalbuinuria or macroalbuminuria compared to patients with normoalbuminuria (p <0.01). We identified a statistically significant positive association between uric acid values and albuminuria, respectively 25- (OH)2 vitamin D3 deficiency and microalbuminuria (p <0.01).


2008 ◽  
Vol 11 (4) ◽  
pp. 988-991
Author(s):  
Robert C Atkins ◽  
Paul Zimmet

In 2003, the International Society of Nephrology and the International Diabetes Federation launched a booklet called “Diabetes in the Kidney: Time to act” [1] to highlight the global pandemic of type 2 diabetes and diabetic kidney disease. ration (PZ)


2021 ◽  
Author(s):  
Ning Zhang ◽  
Rui Fan ◽  
Jing Ke ◽  
Qinghua Cui ◽  
Dong ZHAO

Abstract BackgroundMicroalbuminuria is the main characteristic of Diabetic kidney disease (DKD), but it fluctuates greatly under the influence of blood glucose. Our aim was to establish some common clinical variables which could be easily collected to predict the risk of DKD in patients with type 2 diabetes. Methods and resultsWe build an artificial intelligence (AI) model to quantitively predict the risk of DKD based on the biomedical parameters from 1239 patients. An information entropy-based feature selection method was applied to screen out the risk factors of DKD. The dataset was divided with 4/5 into the training set and 1/5 into the test set. By using the selected risk factors, 5-fold cross-validation is applied to train the prediction model and it finally got AUC of 0.72 and 0.71 in the training set and test set respectively. In addition, we provide a method of calculating risk factors’ contribution for individuals to provide personalized guidance for treatment. We set up web-based application available on http://www.cuilab.cn/dkd for self-check and early warning. ConclusionsWe establish a feasible prediction model for DKD and suggest the degree of risk contribution of each indicator for each individual, which has certain clinical significance for early intervention and prevention.


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