Related Experiment Video
Updated: Jun 2, 2025

A Mouse 5/6th Nephrectomy Model That Induces Experimental Uremic Cardiomyopathy
Published on: November 7, 2017
Causal relationships between uremic metabolites or toxins and heart failure: Univariate and multivariate Mendelian
Mingyu Wei1,2,3,4, Xianjing Hu5, Min Zhu6,7
1Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China.
Abstract:
Studies have shown that uremia, renal failure and heart failure (HF) are closely related. However, whether this association reflects a causal effect is still unclear. The aim of this study was to evaluate the causal effect of uremic metabolites or toxins on HF. Mendelian randomization (MR) analysis was conducted to evaluate the causal effect of 11 uremia-related metabolites on HF risk using single-nucleotide polymorphisms (SNPs) from a genome-wide association study. A protein-protein interaction network was constructed to study the function of SNPs corresponding to HF-related factors. Univariate and multivariate MR analyses demonstrated that lipoprotein A and apolipoprotein B were positively correlated with HF. The SNPs corresponding to these key factors were related mainly to MAP kinase activity and lipid metabolic processes. Overall, we identified 2 uremia-related exposure factors (lipoprotein A and apolipoprotein B) closely related to HF, laying a theoretical foundation for the treatment of HF with renal failure or uremia.
Related Concept Videos
Heart Failure Drugs: Diuretics
Pathophysiology of Heart Failure
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System
Hormonal Regulation
Renal Failure: Dose Adjustments
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
Mechanistic Models: Overview of Compartment Models

