Gamma-glutamyl transferase and calculus of kidney incidence: a Mendelian randomization study

Elevated Gamma-glutamyl transferase (GGT) levels are often suggestive of cholelithiasis, and previous studies have indicated that GGT is highly expressed in the urinary system. Therefore, we hypothesized that there may be an association between GGT levels and calculus of kidney (CK) incidence. To in...

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Bibliographic Details
Published in:Scientific reports 2023-12, Vol.13 (1), p.21821-21821, Article 21821
Main Authors: Li, Peizhe, Pang, Yuewen, He, Shuang, Duan, Junyao, Gong, Huijie, Yan, Yongji, Shi, Jing
Format: Article
Language:English
Subjects:
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692/308/2056
Alanine Transaminase
Alkaline Phosphatase
Antigens
Calculi
Coloring Agents
Enzymes
Gallstones
gamma-Glutamyltransferase - genetics
Genome-wide association studies
Genome-Wide Association Study
Genomes
Heterogeneity
Humanities and Social Sciences
Humans
Kidney
Kidney Calculi - epidemiology
Kidney Calculi - genetics
Kidney stones
Kidneys
Leukocytes
Mendelian Randomization Analysis
multidisciplinary
Phosphatase
Pleiotropy
Risk factors
Science
Science (multidisciplinary)
Sensitivity analysis
Single-nucleotide polymorphism
Statistical analysis
Ubiquitin-Protein Ligases
Urinary tract diseases
Urology
γ-Glutamyltransferase
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Summary:Elevated Gamma-glutamyl transferase (GGT) levels are often suggestive of cholelithiasis, and previous studies have indicated that GGT is highly expressed in the urinary system. Therefore, we hypothesized that there may be an association between GGT levels and calculus of kidney (CK) incidence. To investigate this potential causal relationship, we employed Mendelian randomization (MR) analysis. Additionally, we analyzed the levels of other liver enzymes, including alanine transaminase (ALT) and alkaline phosphatase (ALP). The relationship between GGT levels and CK incidence was analyzed using two-sample Mendelian randomization. Summary Genome-Wide Association Studies data were utilized for this analysis. 33 single nucleotide polymorphisms known to be associated with GGT levels were employed as instrumental variables. We employed several MR methods including IVW (inverse variance weighting), MR-Egger, weighted median, weighted mode, and MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier). Furthermore, we conducted tests for horizontal multivariate validity, heterogeneity, and performed leave-one-out analysis to ensure the stability of the results. Overall, several MR methods yielded statistically significant results with a p -value 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-48610-7