Related Experiment Videos
Linking kidney impairment to amygdala volume changes and mental disorders: a Mendelian randomization study
Chang Seong Kim1,2, Sungyeon Kim3, Yeeun Lee3
1Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea.
Background:
Mental disorders are highly prevalent among patients with chronic kidney disease (CKD); however, the causal effects of kidney dysfunction on specific brain volume traits and mental disorders remain underexplored.
Methods:
In this Mendelian randomization (MR) study, genetic instruments for kidney function and CKD, derived from genome-wide association studies (GWAS) in Chronic Kidney Disease Genetics and the UK Biobank (n = 1,201,909), were utilized for two-sample MR analysis in the discovery phase. Summary-level data from these GWAS provided exposure-outcome associations to calculate causal estimates using the inverse variance weighted method. Validation analysis was conducted using one-sample MR with individual-level data from the UK Biobank.
Results:
Two-sample MR identified causal associations (odds ratios [ORs] as point estimates) between estimated glomerular filtration rate (exposures) and amygdala traits (outcomes), with ORs ranging from 0.559 to 0.723 (p < 0.05). Two-sample MR between CKD (exposures) and amygdala volume traits (outcomes) reported ORs ranging from 1.042 to 1.059 (p < 0.05). These associations also linked kidney dysfunction to an increased risk of depression, using two-sample MR across 507 brain volume and 242 mental disorder GWAS datasets. Leave-one-out analyses and pleiotropy tests, including MR Egger, supported the robustness of these findings. Validation analysis confirmed reproducibility using one-sample MR.
Conclusion:
Our results demonstrate that kidney dysfunction causally alters amygdala volume, increasing susceptibility to mental disorders such as depression. These findings highlight the kidney-brain axis and underscore the importance of integrating mental health screening and interventions into the clinical management of patients with CKD.