Inducible Pluripotent Stem Cells as a Potential Cure for Diabetes.
Kevin VerhoeffSarah J HenschkeBraulio Alejandro Marfil-GarzaNidheesh DadheechAndrew Mark James ShapiroPublished in: Cells (2021)
Over the last century, diabetes has been treated with subcutaneous insulin, a discovery that enabled patients to forego death from hyperglycemia. Despite novel insulin formulations, patients with diabetes continue to suffer morbidity and mortality with unsustainable costs to the health care system. Continuous glucose monitoring, wearable insulin pumps, and closed-loop artificial pancreas systems represent an advance, but still fail to recreate physiologic euglycemia and are not universally available. Islet cell transplantation has evolved into a successful modality for treating a subset of patients with 'brittle' diabetes but is limited by organ donor supply and immunosuppression requirements. A novel approach involves generating autologous or immune-protected islet cells for transplant from inducible pluripotent stem cells to eliminate detrimental immune responses and organ supply limitations. In this review, we briefly discuss novel mechanisms for subcutaneous insulin delivery and define their shortfalls. We describe embryological development and physiology of islets to better understand their role in glycemic control and, finally, discuss cell-based therapies for diabetes and barriers to widespread use. In response to these barriers, we present the promise of stem cell therapy, and review the current gaps requiring solutions to enable widespread use of stem cells as a potential cure for diabetes.
Keyphrases
- glycemic control
- cell therapy
- type diabetes
- stem cells
- blood glucose
- weight loss
- pluripotent stem cells
- cardiovascular disease
- mesenchymal stem cells
- insulin resistance
- immune response
- end stage renal disease
- newly diagnosed
- peritoneal dialysis
- induced apoptosis
- chronic kidney disease
- ejection fraction
- risk assessment
- signaling pathway
- small molecule
- blood pressure
- high throughput
- heart rate
- metabolic syndrome
- big data
- adipose tissue
- human health
- artificial intelligence
- patient reported outcomes
- pi k akt
- inflammatory response
- dendritic cells