Sex-Specific Changes in Cardiac Function and Electrophysiology During Progression of Adenine-Induced Chronic Kidney Disease in Mice

Abstract

ABSTRACTBACKGROUNDChronic kidney disease (CKD) and cardiovascular disease (CVD) often co-exist and interact; however, notable sex-dependent differences are observed in how these conditions manifest and progress in parallel, despite men and women sharing similar risk factors. Identifying sex-specific diagnostic markers of cardiac structure and function throughout CKD progression could elucidate why the development and progression of these diseases differ by sex.METHODS AND RESULTSAdult, C57BL/6J male and female mice were subjected to a high-adenine (0.2%) diet throughout 12-weeks to induce CKD. Control mice were fed a normal chow diet. Every three weeks, electrocardiogram (ECG) and echocardiogram-based markers of cardiac physiology were evaluated. Adenine-induced CKD showed markers of left ventricular (LV) hypertrophy in male mice only. CKD males had markers indicative of LV systolic and diastolic dysfunction throughout regimen duration, worsening as disease progressed. Adenine males had a prolonged QTc and STc intervals when compared to Adenine females and Control males. Sex-dependent differences in the duration of the Speak-J marker, measured via ECG, was identified, with Adenine males showing increases in duration earlier than Adenine females compared to their Control counterparts.CONCLUSIONSIn this study, we identified sex-dependent differences in cardiac structure, function, and electrophysiology in a mouse model of CKD-induced CVD throughout disease progression. We found that male mice are more prone to developing LV hypertrophy, systolic dysfunction, and diastolic dysfunction, with significant increases in ECG markers indicative of ventricular dysfunction observed in adenine-treated males at late stages of the disease. Additionally, we identified a new ECG parameter, Speak-J duration, that highlights sex-specific cardiac electrophysiological changes, demonstrating the model’s utility in studying sex-dependent cardiac differences.