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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Association between GATM gene polymorphism and progression of chronic kidney disease: a mitochondrial related
Bin Liu1, Xin Gao1, Haolin Teng1
1Department of Urology II, The First Hospital of Jilin University, Changchun, 130021, Jilin, China.
Insights
Mendelian Randomization reveals glycine amidinotransferase (GATM) is causally linked to Chronic Kidney Disease (CKD). Increased GATM expression reduces CKD risk, suggesting GATM as a potential therapeutic target for kidney disease.
Area of Science:
- Genetics and Genomics
- Nephrology
- Mitochondrial Biology
Background:
- Chronic Kidney Disease (CKD) is a significant global health issue.
- The link between mitochondrial dysfunction and CKD is of growing interest but not fully understood.
- Causal relationships between genetic factors influencing mitochondrial function and CKD require elucidation.
Purpose of the Study:
- To investigate the causal relationship between genes involved in mitochondrial function and CKD using Mendelian Randomization (MR).
- To identify specific genes and their expression patterns associated with CKD and estimated glomerular filtration rate (eGFR).
Main Methods:
- Utilized large-scale quantitative trait loci (QTL) datasets (eQTL, mQTL, pQTL) for gene identification.
- Employed genome-wide association study (GWAS) datasets for CKD and eGFR as outcome variables.
- Applied multi-level analysis, co-localization, bi-directional MR, and inverse variance weighted methods for robust causal inference.
- Validated findings using human RNA sequencing data across various CKD subtypes.
Main Results:
- Identified a significant causal association between glycine amidinotransferase (GATM) and CKD/eGFR.
- Increased GATM gene and protein expression correlated with reduced CKD risk, while distinct methylation patterns suggested increased risk.
- Reduced GATM expression was observed in multiple CKD subtypes, positively correlating with Glomerular Filtration Rate (GFR).
Conclusions:
- Established a causal link between GATM and CKD, highlighting GATM as a potential therapeutic target.
- Findings provide a foundation for developing novel therapeutic interventions for Chronic Kidney Disease.
- The study underscores the clinical promise of targeting GATM for kidney disease management.
Abstract:
Chronic Kidney Disease (CKD) stands as a substantial challenge within the global health landscape. The elevated metabolic demands essential for sustaining normal kidney function have propelled an increasing interest in unraveling the intricate relationship between mitochondrial dysfunction and CKD. However, the authentic causal relationship between these two factors remains to be conclusively elucidated. This study endeavors to address this knowledge gap through the Mendelian Randomization (MR) method. We utilized large-scale QTL datasets (including 31,684 eQTLs samples, 1980 mQTLs samples, and 35,559 pQTLs samples) to precisely identify key genes related to mitochondrial function as exposure factors. Subsequently, we employed GWAS datasets (comprising 480,698 CKD samples and 1,004,040 eGFRcrea samples) as outcome factors. Through a comprehensive multi-level analysis (encompassing expression, methylation, and protein quantification loci), we evaluated the causal impact of these genes on CKD and estimated glomerular filtration rate (eGFR). The integration and validation of diverse genetic data, complemented by the application of co-localization analysis, bi-directional MR analysis, and various MR methods, notably including inverse variance weighted, have collectively strengthened our confidence in the robustness of these findings. Lastly, we validate the outcomes through examination in human RNA sequencing datasets encompassing various subtypes of CKD. This study unveils significant associations between the glycine amidinotransferase (GATM) and CKD, as well as eGFR. Notably, an augmentation in GATM gene and protein expression corresponds to a diminished risk of CKD, whereas distinct methylation patterns imply an increased risk. Furthermore, a discernible reduction in GATM expression is observed across diverse pathological subtypes of CKD, exhibiting a noteworthy positive correlation with GFR. These findings establish a causal relationship between GATM and CKD, thereby highlighting its potential as a therapeutic target. This insight lays the foundation for the development of potential therapeutic interventions for CKD, presenting substantial clinical promise.
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