Risks Associated with SGLT2 Inhibitors: An Overview
Abstract
BACKGROUND: Sodium glucose co-transport 2 inhibitors (SGLT2-i) are the new class of antidiabetic medications which are recently approved (2013) by the Food and Drug Administration (FDA) for the treatment of diabetes. These inhibitors block the SGLT2 protein which involved glucose reabsorption from proximal renal tubule resulting in increased glucose excretion and lower blood glucose levels. These inhibitors exert favourable effects beyond glucose control such as consistent body weight, blood pressure and serum uric acid reductions. Canagliflozin, Dapagliflozin and empagliflozin belong to the class of SGLT2 inhibitors.
RESULTS AND CONCLUSION: All these drugs are giving promising results in the treatment of diabetes mellitus, but emerging data from post-marketing studies indicate their adverse effects such as diabetic ketoacidosis, genital and urinary tract infection, cancer, bone fracture and foot and leg amputation. Thus, there is a need for better understanding the risk profile of SGLT2 inhibitors. In this review, we have compiled the risk profile of SGLT2 inhibitors by collecting information from various sources such as case reports, published literature and from various regulatory websites. Further, the proposed mechanism of risks has also been discussed.
Read the paper
Related studies
- Strategy for Mitigating DKA Risk in Patients with Type 1 Diabetes on Adjunctive Treatment with SGLT Inhibitors: A STICH Protocol
- Glucoraphanin: a broccoli sprout extract that ameliorates obesity-induced inflammation and insulin resistance
- SGLT2 Inhibitors in Heart Failure: Targeted Metabolomics and Energetic Metabolism
- Mechanisms of blood pressure reduction with sodium-glucose co-transporter 2 (SGLT2) inhibitors
- Sodium-glucose cotransporter inhibitors: beyond glycaemic control
- Decoding the effects of SGLT2 inhibitors on cardiac arrhythmias in heart failure
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.