AUTHOR=Gao Yuhang , Yue Xinghai , Zhao Wanchao , Yuan Fang 

TITLE=Association between dried fruit intake and kidney function: research from univariate and multivariate Mendelian randomized studies

JOURNAL=Frontiers in Nutrition

VOLUME=11

YEAR=2024

URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2024.1440896

DOI=10.3389/fnut.2024.1440896

ISSN=2296-861X

ABSTRACT=<sec id="sec1"><title>Objectives</title><p>Observational studies have identified an association between dried fruit intake and kidney function. However, these studies have limitations such as vulnerability to confounders and reverse causality bias. Therefore, this study aimed to explore the potential causal relationship between dried fruit intake and kidney function.</p></sec><sec id="sec2"><title>Methods</title><p>A two-sample Mendelian randomization (MR) study was conducted using a large-scale genome-wide association study dataset to investigate the causal relationship between dried fruit intake and kidney function markers (blood urea nitrogen (BUN), creatinine (CR), uric acid (UA), cystatin C (CyC), hematuria, microalbuminuria). The main analytical method was inverse variance weighting. In addition, we applied the MR Egger and weighted median to assess the robustness of the results. Finally, Multivariate Mendelian randomization (MVMR) was used to estimate the direct effect of dried fruit intake on kidney function markers.</p></sec><sec id="sec3"><title>Results</title><p>The univariate MR analysis showed that increased dried fruit intake was associated with lower kidney function markers, including BUN (<italic>β</italic>: −0.171, 95% confidence interval (CI): −0.239 to −0.102, <italic>p</italic> = 1.063 × 10<sup>−6</sup>), CR (<italic>β</italic>: −0.205, 95% CI: −0.311 to −0.099, <italic>p</italic> = 1.455 × 10<sup>−4</sup>), UA (<italic>β</italic> = −0.317, 95% CI: −0.384 to −0.249, <italic>p</italic> = 4.439 × 10<sup>−20</sup>), and CysC (<italic>β</italic> = −0.323, 95% CI: −0.384 to −0.249, <italic>p</italic> = 1.074 × 10<sup>−11</sup>); however, it was unrelated to hematuria and microalbuminuria. Causality persisted after performing MVMR analysis; however, with the addition of alcohol consumption and smoking as exposure factors, the causality for UA (<italic>β</italic> = −0.296, 95% CI: −0.523 to −0.068, <italic>p</italic> = 1.094 × 10<sup>−2</sup>) and CysC (<italic>β</italic> = −0.238, 95% CI: −0.465 to −0.011, <italic>p</italic> = 4.024× 10<sup>−2</sup>) weakened, while the causality for BUN (<italic>β</italic> = −0.038, 95% CI: −0.215 to 0.138, <italic>p</italic> = 6.698 × 10<sup>−1</sup>) and CR (<italic>β</italic> = −0.038, 95% CI: −0.431 to 0.046, <italic>p</italic> = 1.347 × 10<sup>−1</sup>) disappeared.</p></sec><sec id="sec4"><title>Conclusion</title><p>Increased dried fruit intake was associated with lower kidney function markers (BUN, CR, UA, and CysC) in the absence of smoking and alcohol consumption; however, the causal relationship between dried fruit intake and BUN and CR disappeared in the presence of smoking and alcohol consumption. These results provide a promising avenue for delaying the course of chronic kidney disease.</p></sec>