ReviewCardiovascular diabetology2026
Shared pathophysiological mechanisms between diabetes and calcific aortic valve disease: an immunometabolic perspective.
Review in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This review synthesizes the immunometabolic mechanisms linking diabetes mellitus to accelerated calcific aortic valve disease (CAVD) and evaluates their therapeutic implications. Despite the absence of disease-modifying pharmacotherapy for CAVD, diabetes consistently increases incident aortic stenosis risk (HR 1.3-1.7), calcification burden, and disease severity, independent of traditional cardiovascular risk factors. Epidemiological, imaging, and histological evidence demonstrate that dysglycemia promotes earlier onset, denser valvular calcium deposits, and worse post-intervention outcomes. We delineate seven interconnected and partially overlapping pathways through which diabetes remodels the aortic valve: hyperglycemia-driven valvular interstitial cell (VIC) phenotypic switching and insulin resistance; advanced glycation end-product-RAGE signaling; oxidative stress and mitochondrial dysfunction; macrophage NLRP3-IL-1β inflammasome activation; endothelial barrier compromise; BMP-Runx2-Wnt-Notch osteogenic reprogramming; and CKD-mineralocorticoid receptor cross-talk. These processes convert metabolic stress into sustained valvular inflammation, matrix remodeling, and ectopic ossification. Mechanistic and observational data provide a rationale for evaluating metformin, SGLT2 inhibitors, IL-1β/NLRP3 inhibitors, and Lp(a)-lowering strategies as candidate approaches to modulate calcification progression. Integrated metabolic-inflammatory-imaging biomarkers offer potential for risk stratification and trial enrichment. This immunometabolic framework identifies actionable nodes and underscores the urgent need for dedicated, valve-focused randomized trials in diabetic CAVD to translate mechanistic insights into clinical benefit.
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