Longer sleep duration may negatively affect renal function

Abstract

Abstract Background Observational studies evaluating the link between sleep duration and kidney function reported controversial results. In the present study, Mendelian Randomization (MR) analysis was applied to obtain unconfounded estimates of the casual association of genetically determined sleep duration with estimated glomerular filtration rate (eGFR) and the risk of chronic kidney disease (CKD). Methods Data from the largest genome-wide association studies (GWAS) on self-reported and accelerometer derived sleep duration, eGFR and CKD were analysed in total, as well as separately in diabetic and non-diabetic individuals. Inverse variance weighted method (IVW), weighted median (WM)-based method, MR-Egger, as well as MR-Pleiotropy RESidual Sum and Outlier (PRESSO) were applied. To rule out the impact of single single-nucleotide polymorphism (SNP), the leave-one-out method was used. Results Overall, individuals with genetically longer self-reported sleep duration had a higher CKD risk (IVW: beta=0.358, p=0.047). Furthermore, in non-diabetics, longer self-reported sleep duration was negatively associated eGFR (IVW: beta=−0.024, p=0.020). Similarly, accelerometer derived sleep duration was negatively related to eGFR in the total population (IVW: beta=−0.019, p=0.047) and the non-diabetic individuals (IVW: beta=−0.025, p=0.014) (Table). No significant association was found between self-reported sleep duration and eGFR in the whole population (IVW: beta=−0.019, p=0.072) and T2DM patients (IVW: beta=0.028, p=0.484). None of the estimated associations was subjected to a significant level of heterogeneity. Furthermore, MR-PRESSO analysis did not show any chance of outliers for all estimates. The pleiotropy test, with very negligible intercept and insignificant p value. The results of the MR-RAPS were identical with the IVW estimates, highlighting again no possibility of pleiotropy. The leave-one-out method demonstrated that the links were not driven by single SNPs. Conclusions For the first time, the present study shed a light on the potential harmful effects of longer sleep duration (measured both objectively and subjectively) on kidney function. This finding was observed in the total population and in non-diabetic individuals, but not in those with diabetes. Further research is needed to elucidate the links between sleep duration, eGFR and CKD. Funding Acknowledgement Type of funding source: None