Ventricular arrhythmias in mouse models of diabetic kidney disease

Laurita, Kenneth R.; Khan, Shenaz; McMahon, Tracy; Dennis, Adrienne T.; Li, Vincent; Gaivin, Robert J.; Sapa, Hima; Fu, Ji-Dong; Schelling, Jeffrey R.

doi:10.1038/s41598-021-99891-9

Cited by 5 publications

(2 citation statements)

References 76 publications

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“… 71 Interestingly, individuals with T2DM and NAFLD often present with a cardiac autonomic nervous system imbalance, displaying an increase in sympathetic tone, 72 , 73 which is associated with increased blood pressure and risk of ventricular arrythmia in T2DM. 74–76 …”

Section: Current Understanding Of the Mechanisms Underlying Diabetic ...mentioning

confidence: 99%

Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy

Phang

Ritchie

Hausenloy

et al. 2022

Cardiovascular Research

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Patients with Type 2 diabetes mellitus (T2DM) frequently exhibit a distinctive cardiac phenotype known as diabetic cardiomyopathy. Cardiac complications associated with T2DM include cardiac inflammation, hypertrophy, fibrosis and diastolic dysfunction in the early stages of the disease, which can progress to systolic dysfunction and heart failure. Effective therapeutic options for diabetic cardiomyopathy are limited and often have conflicting results. The lack of effective treatments for diabetic cardiomyopathy is due in part, to our poor understanding of the disease development and progression, as well as a lack of robust and valid preclinical human models that can accurately recapitulate the pathophysiology of the human heart. In addition to cardiomyocytes, the heart contains a heterogeneous population of non-myocytes including fibroblasts, vascular cells, autonomic neurons and immune cells. These cardiac non-myocytes play important roles in cardiac homeostasis and disease, yet the effect of hyperglycaemia and hyperlipidaemia on these cell types are often overlooked in preclinical models of diabetic cardiomyopathy. The advent of human induced pluripotent stem cells provides a new paradigm in which to model diabetic cardiomyopathy as they can be differentiated into all cell types in the human heart. This review will discuss the roles of cardiac non-myocytes and their dynamic intercellular interactions in the pathogenesis of diabetic cardiomyopathy. We will also discuss the use of sodium-glucose cotransporter 2 inhibitors as a therapy for diabetic cardiomyopathy and their known impacts on non-myocytes. These developments will no doubt facilitate the discovery of novel treatment targets for preventing the onset and progression of diabetic cardiomyopathy.

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Section: Current Understanding Of the Mechanisms Underlying Diabetic ...mentioning

confidence: 99%

Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy

Phang

Ritchie

Hausenloy

et al. 2022

Cardiovascular Research

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“…Chronic kidney disease (CKD) is a common disease affecting millions of people in China (1). Abnormal levels of calcium/phosphorus and secondary hyperparathyroidism result in bone metabolism disorder in CKD (2,3).…”

Section: Introductionmentioning

confidence: 99%

Chest CT radiomics is feasible in evaluating bone changes in chronic kidney diseases

Wu,

Yang,

Liu

2024

Acta Radiol

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Background Non-invasive imaging methods are still lacking for evaluating bone changes in chronic kidney diseases (CKD). Purpose To investigate the feasibility of chest CT radiomics in evaluating bone changes caused by CKD. Material and Methods In total, 75 patients with stage 1 CKD (CKD1) and 75 with stage 5 CKD (CKD5) were assessed using the chest CT radiomics method. Radiomics features of bone were obtained using 3D Slicer software and were then compared between CKD1 and CKD5 cases. The methods of maximum correlation minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to establish a prediction model to determine CKD. The receiver operating characteristic (ROC) curve was used to determine the performance of the model. Results Cases of CKD1 and CKD5 differed in 40 radiomics features ( P <0.05). Using the mRMR and LASSO methods, five features were finally selected to establish a predication model. The area under the receiver operating characteristic curve of the model in the determination of CKD1 and CKD5 was 0.903 and 0.854, respectively, for the training and validation cohorts. Conclusion Chest CT radiomics is feasible in evaluating bone changes caused by CKD.

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Rodent models to study type 1 and type 2 diabetes induced human diabetic nephropathy

Talukdar,

Basumatary

2023

Mol Biol Rep

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Ventricular arrhythmias in mouse models of diabetic kidney disease

Cited by 5 publications

References 76 publications

Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy

Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy

Chest CT radiomics is feasible in evaluating bone changes in chronic kidney diseases

Rodent models to study type 1 and type 2 diabetes induced human diabetic nephropathy

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