ScholarWorks@중앙대학교

초록

Rationale & Objective Additional investigations into the causal effects of kidney function on various metabolites, particularly lipoprotein lipids in detailed subfractions of lipoprotein particles, in the general population are warranted. Study Design Integrated cross-sectional observational and Mendelian randomization (MR) analyses. Setting & Participants We included 157,541 participants aged 40-69 years from the UK Biobank study, a population-scale prospective cohort. Genetic instruments for estimated glomerular filtration rate (eGFR) were developed from the Chronic Kidney Disease Genetics genome-wide association study meta-analysis results, which comprised 567,460 individuals of European ancestry. Exposure eGFR for observational analysis and genetically predicted eGFR for MR analysis. Outcomes Each of the 178 metabolites from recently updated metabolomics data, including detailed lipoprotein components within 14 subclasses of lipoprotein particles. Analytical Approach Observational analysis was performed using multivariate linear regression adjusted for various clinicodemographic characteristics. A 2-sample MR analysis was performed using the random-effects inverse-variance weighted method as the main MR method. Results In the integrated results of the observational and MR analyses, 25 metabolites were causally associated with eGFR. A lower eGFR causally decreased lipoprotein components of high-density lipoprotein and several of its subclasses, particularly medium-sized high-density lipoprotein. Conversely, a lower eGFR causally increased triglyceride levels in smaller-sized very low–density lipoprotein and intermediate-density lipoprotein, as well as increased lipoprotein particle concentrations and total lipids in small very low–density lipoprotein. Additionally, a lower eGFR causally increased the ratio of monounsaturated fatty acids to total fatty acids and that of apolipoprotein B to apolipoprotein A-1. Limitations Possibility of false-negative findings when integrating observational and MR analyses. Conclusions Decreased kidney function causally aggravates lipoprotein lipid profiles; therefore, clinicians should closely monitor the lipid profiles of individuals with impaired kidney function. Plain-Language Summary The kidney plays an essential role in body metabolism and interacts with metabolic risk factors that can lead to adverse clinical outcomes. We aimed to identify how declining kidney function affects various metabolites, including lipids within detailed subclasses of lipoproteins, by integrating observational and Mendelian randomization analyses. We used a large, published genetic dataset and a database including 157,541 participants in the United Kingdom. We found that reduced kidney function causally leads to an unhealthy lipid profile, characterized by lower lipids in high-density lipoproteins, especially medium-sized ones, and higher triglycerides in very low–density lipoproteins, especially small-sized ones. As these findings are linked to atherogenic risk, our study highlights the importance of early intervention for dyslipidemia in individuals with impaired kidney function.

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