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Mitochondria-related pathogenic genes in acute and chronic kidney disease: a Mendelian randomization study
Jia Wang1, TongLing Yuan1, Qian Wei2
1Department of General Practice Center, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Abstract:
This study aims to utilize summary-data-based Mendelian randomization (SMR) to explore the potential associations linking mitochondrial-related genes with acute kidney injury (AKI) and chronic kidney disease CKD. This study utilized mitochondrial-related genes from the MitoCarta3.0 database, alongside DNA methylation (mQTLs), gene expression (eQTLs), and protein expression (pQTLs) quantitative trait loci data. We obtained summary statistics from genome-wide association studies for AKI and CKD from the United States Million Veteran Program, with subsequent validation in the UK Biobank. The SMR method, complemented by colocalization analysis, was used to assess associations. We further performed validation using kidney cortex-specific eQTL data from Genotype-Tissue Expression project and single-cell transcriptome data from the KPMP database. In the discovery datasets, SMR analysis identified 174 mQTLs, 64 eQTLs, and 20 pQTL associated with AKI risk, and 253 mQTLs, 80 eQTLs, and 23 pQTLs associated with CKD risk. A total of 32 mQTLs, 16 eQTLs and 9 pQTLs were identified as common signals associated with both AKI and CKD risks. Specifically, FASN, DELE1, SARS2, NDUFB2, and ATP23 were significantly associated with both AKI and CKD risks, while ATAD3B and GCDH were CKD-specific signals. Notably, the shared gene ATP23 was identified as a risk factor for both AKI and CKD in kidney cortex tissue. Furthermore, ATAD3B was validated as a potentially protective factor for CKD, although the effect size was modest (OR 0.95, 95% CI 0.90-1.00). This study utilized the SMR method to identify potential risk and protective genes for AKI and CKD, revealing a molecular link between mitochondrial-related genes and renal failure.
Insights
This study links mitochondrial genes to kidney diseases using Mendelian randomization. It identified specific genes like ATP23 as risk factors for acute kidney injury (AKI) and chronic kidney disease (CKD).
Area of Science:
- Genetics and Genomics
- Mitochondrial Biology
- Renal Medicine
Background:
- Mitochondrial dysfunction is implicated in various diseases, including kidney conditions.
- The genetic links between mitochondrial function and kidney diseases like acute kidney injury (AKI) and chronic kidney disease (CKD) require further elucidation.
- Understanding these genetic associations can reveal novel therapeutic targets.
Purpose of the Study:
- To investigate the association between mitochondrial-related genes and the risk of AKI and CKD.
- To identify specific mitochondrial genes that may act as risk or protective factors for these kidney diseases.
- To explore the shared genetic pathways underlying AKI and CKD.
Main Methods:
- Utilized summary-data-based Mendelian randomization (SMR) analysis.
- Employed mitochondrial-related gene data from MitoCarta3.0 and quantitative trait loci (QTL) data for DNA methylation (mQTLs), gene expression (eQTLs), and protein expression (pQTLs).
- Performed validation using genome-wide association study summary statistics from the US Million Veteran Program and UK Biobank, alongside kidney cortex-specific eQTL and single-cell transcriptome data.
Main Results:
- Identified numerous mQTLs, eQTLs, and pQTLs associated with AKI and CKD risk.
- Discovered shared genetic signals for both AKI and CKD, including genes like FASN, DELE1, SARS2, NDUFB2, and ATP23.
- Validated ATP23 as a shared risk factor and ATAD3B as a potentially protective factor for CKD in kidney-specific tissues.
Conclusions:
- Mitochondrial-related genes play a significant role in the pathogenesis of both AKI and CKD.
- Specific genes, such as ATP23 and ATAD3B, represent potential molecular links between mitochondrial function and renal failure.
- This study provides a genetic basis for understanding mitochondrial involvement in kidney diseases and suggests potential therapeutic targets.
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