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Published on: June 14, 2016
SGLT2 inhibitors and cardiac fibrosis: A comprehensive review
Paschalis Karakasis1, Panagiotis Theofilis2, Panayotis K Vlachakis2
1Second Department of Cardiology, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Abstract:
Cardiac fibrosis is a key pathological substrate that drives diastolic dysfunction, arrhythmogenesis, and heart failure progression across a spectrum of cardiometabolic disorders. Sodium-glucose cotransporter 2 (SGLT2) inhibitors, initially developed for glucose lowering, have demonstrated pleiotropic effects on myocardial structure, notably attenuating fibrotic remodeling. Experimental models of diabetes, hypertension, ischemia, and cardiotoxicity consistently show that SGLT2 inhibitors mitigate interstitial and perivascular fibrosis through modulation of oxidative stress, mitochondrial function, autophagy, and canonical profibrotic signaling cascades, including TGF-β/Smad, STAT3, and mTOR. These actions are largely preserved in non-diabetic settings and appear to extend beyond hemodynamic or glycemic benefits. Clinical data, including cardiac magnetic resonance-based assessments, support the notion of diffuse fibrosis regression, particularly in heart failure with preserved ejection fraction and diabetic cardiomyopathy. Moreover, reductions in serum collagen biomarkers and improvements in myocardial energetics further substantiate their antifibrotic capacity. Nonetheless, fibrosis-specific endpoints remain underrepresented in major cardiovascular outcome trials, and histological validation in human tissue is lacking. Integrating artificial intelligence-driven fibrosis quantification, spatial transcriptomics, and high-resolution imaging may refine phenotyping and enable precision antifibrotic therapy. Whether fibrosis regression translates into durable clinical benefit remains an open question. This review comprehensively synthesizes the mechanistic, translational, and clinical evidence supporting the role of SGLT2 inhibitors as modulators of cardiac fibrosis across diverse cardiovascular disease states.
Insights
Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce cardiac fibrosis in various heart conditions. These drugs offer potential antifibrotic benefits beyond glucose control, impacting heart failure progression.
Area of Science:
- Cardiovascular Medicine
- Pharmacology
- Pathology
Background:
- Cardiac fibrosis is a primary driver of heart failure and arrhythmias in cardiometabolic diseases.
- Sodium-glucose cotransporter 2 (SGLT2) inhibitors show promising effects on myocardial structure.
- Understanding the antifibrotic mechanisms of SGLT2 inhibitors is crucial for cardiovascular disease management.
Purpose of the Study:
- To review the mechanistic, translational, and clinical evidence for SGLT2 inhibitors in modulating cardiac fibrosis.
- To explore the impact of SGLT2 inhibitors on fibrotic remodeling across different cardiovascular conditions.
- To discuss the potential of SGLT2 inhibitors as precision antifibrotic therapies.
Main Methods:
- Synthesis of experimental data from animal models of cardiac fibrosis.
- Analysis of clinical trial data, including cardiac magnetic resonance imaging and biomarker assessments.
- Review of studies investigating SGLT2 inhibitors' effects on profibrotic signaling pathways and cellular functions.
Main Results:
- SGLT2 inhibitors consistently attenuate interstitial and perivascular fibrosis in experimental models via multiple pathways.
- Clinical data suggest SGLT2 inhibitors can lead to diffuse cardiac fibrosis regression, especially in heart failure with preserved ejection fraction.
- Evidence indicates antifibrotic effects are independent of glycemic control and hemodynamic changes.
Conclusions:
- SGLT2 inhibitors possess significant antifibrotic properties relevant to diverse cardiovascular diseases.
- Further research is needed to validate fibrosis regression with histological evidence and assess long-term clinical benefits.
- Future directions include integrating advanced imaging and AI for personalized antifibrotic strategies.
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