谷丙转氨酶与胆石症之间的因果关系:一项双样本孟德尔随机研究
Association between Alanine Transaminase and Cholelithiasis: A Two-Sample Mendelian Randomization Study
DOI: 10.12677/acm.2024.1451549, PDF,   
作者: 王 浩:重庆医科大学附属第二临床医院肝胆外科,重庆;程 源, 潘晓维, 杨明久, 陈 政, 植俊华:重庆市垫江县中医院肝胆外科,重庆;陈锌新:重庆医科大学第二临床学院,重庆;李秀云*:重庆市垫江县人民医院肝胆外科,重庆
关键词: 孟德尔随机化胆石症转氨酶病因肝功能不全Mendelian Randomization Cholelithiasis Transaminases Etiology Hepatic Insufficiency
摘要: 背景:转氨酶,即丙氨酸氨基转移酶(ALT)和天门冬氨酸氨基转移酶(AST),主要存在于肝脏细胞中。转氨酶水平升高通常是肝细胞损害的指标。胆系结石的形成主要与胆汁中的胆盐、胆固醇等成分的平衡失调有关,一些肝脏疾病或损害,例如肝炎、脂肪肝、肝硬化等,可能间接地增加胆结石的风险。丙氨酸氨基转移酶(ALT)水平升高是否会导致胆系结石的发病率升高的因果关系尚不清楚。本研究使用两个样本孟德尔随机化(MR)来阐明丙氨酸氨基转移酶(ALT)水平升高是否会提高胆系结石发病率的潜在因果关系。方法:使用逆方差加权(IVW)、加权中值和MR-Egger回归方法进行双样本孟德尔随机化(MR)分析。我们使用公开的全基因组关联研究(GWAS)荟萃分析汇总统计数据集,对欧洲血统个体(n = 437,267)的谷丙转氨酶(Alanine Transaminase)进行暴露,并使用GWAS进行非癌症疾病代码自我报告:胆石症(Cholelithiasis)中包含的个体(总数 = 487,553)作为结果。结果:我们从谷丙转氨酶(Alanine Transaminase)的GWAS中选择了240个具有全基因组意义的单核苷酸多态性作为工具变量。IVW方法显示证据支持谷丙转氨酶(Alanine Transaminase)和胆石症(Cholelithiasis)之间存在因果关系(β = 1.959, SE = 0.542, P = 0.0003)。MR-Egger回归显示,定向多效性不太可能使结果产生偏差(截距 = 0.0027, P = 0.549),但显示谷丙转氨酶和胆石症之间没有因果关系(β= 1.44, SE = 1.021, P = 0.1596)。然而,加权中位数方法得出了Liver enzyme levels (Alanine Transaminase)和胆石症(Cholelithiasis)之间存在因果关系的证据(β= 1.959, SE = 0.5422, P = 0.0003)。Cochran的Q检验和漏斗图表明没有异质性和不对称性的证据,表明没有方向性多效性。结论:孟德尔随机化分析结果支持丙氨酸氨基转移酶(ALT)水平升高会提高胆石症发病率。
Abstract: Background: Transaminases, alanine aminotransferase (ALT) and aspartate aminotransferase (AST), are found primarily in liver cells. Elevated aminotransferase levels are usually an indicator of liver cell damage. The formation of stones in the biliary system is mainly related to an imbalance in the balance of bile salts, cholesterol, and other components of bile. Some liver diseases or damage, such as hepatitis, fatty liver, and cirrhosis, may indirectly increase the risk of gallstones. Whether elevated alanine aminotransferase (ALT) levels causally contribute to the increased incidence of biliary system stones is not known. This study used two-sample Mendelian randomization (MR) to elucidate the potential causality of whether elevated alanine aminotransferase (ALT) levels increase the incidence of gallstones. Methods: Two-sample Mendelian randomization (MR) analyses were performed using inverse variance weighting (IVW), weighted median, and MR-Egger regression methods. We used publicly available genome-wide association study (GWAS) meta-analysis summary statistics sets for exposure to alanine transaminase in individuals of European ancestry (n = 437,267) and self-reporting of non-cancer disease codes using the GWAS: individuals included in Cholelithiasis (Total = 487,553) as outcomes. Results: We selected 240 single nucleotide polymorphisms of genome-wide significance as instrumental variables from the GWAS of alanine transaminase. IVW methods showed evidence supporting a causal relationship between alanine transaminase and cholelithiasis (β = 1.959, SE = 0.542, P = 0.0003). MR-Egger regression showed that directed pleiotropy was unlikely to bias the results (intercept = 0.0027, P = 0.549), but showed no causal relationship between ghrelin and cholelithiasis (β= 1.44, SE = 1.021, P = 0.1596). However, the weighted median approach yielded evidence of a causal relationship between liver enzyme levels (Alanine Transaminase) and cholelithiasis (β= 1.959, SE = 0.5422, P = 0.0003). Cochran’s Q-test and funnel plots showed no evidence of heterogeneity or asymmetry, indicating no directional pleiotropy. Conclusion: The results of Mendelian randomization analysis support that elevated alanine aminotransferase (ALT) levels increase the incidence of cholelithiasis.
文章引用:王浩, 程源, 潘晓维, 杨明久, 陈政, 植俊华, 陈锌新, 李秀云. 谷丙转氨酶与胆石症之间的因果关系:一项双样本孟德尔随机研究[J]. 临床医学进展, 2024, 14(5): 1266-1274. https://doi.org/10.12677/acm.2024.1451549

参考文献

[1] Lammert, F., Gurusamy, K., Ko, C.W., et al. (2016) Gallstones. Nature Reviews Disease Primers, 2, Article No. 16024. [Google Scholar] [CrossRef] [PubMed]
[2] Wang, D.Q.-H., Zhang, L. and Wang, H.H. (2005) High Cholesterol Absorption Efficiency and Rapid Biliary Secretion of Chylomicron Remnant Cholesterol Enhance Cholelithogenesis in Gallstone-Susceptible Mice. Biochimica et Biophysica Acta (BBA)-General Subjects, 1733, 90-99. [Google Scholar] [CrossRef] [PubMed]
[3] Chen, L., Yang, H., Li, H., et al. (2022) Insights into Modifiable Risk Factors of Cholelithiasis: A Mendelian Randomization Study. Hepatology, 75, 785-796. [Google Scholar] [CrossRef] [PubMed]
[4] Shoda, J., Tanaka, N., He, B.-F., et al. (1993) Alterations of Bile Acid Composition in Gallstones, Bile, and Liver of Patients with Hepatolithiasis, and Their Etiological Significance. Digestive Diseases and Sciences, 38, 2130-2141. [Google Scholar] [CrossRef
[5] Rebholz, C., Krawczyk, M. and Lammert, F. (2018) Genetics of Gallstone Disease. European Journal of Clinical Investigation, 48, e12935. [Google Scholar] [CrossRef] [PubMed]
[6] Ioannou, G.N. (2010) Cholelithiasis, Cholecystectomy, and Liver Disease. American Journal of Gastroenterology, 105, 1364-1373. [Google Scholar] [CrossRef] [PubMed]
[7] Pazoki, R., Vujkovic, M., Elliott, J., et al. (2021) Genetic Analysis in European Ancestry Individuals Identifies 517 Loci Associated with Liver Enzymes. Nature Communications, 12, Article No. 2579. [Google Scholar] [CrossRef] [PubMed]
[8] Noyce, A.J., Kia, D.A., Hemani, G., et al. (2017) Estimating the Causal Influence of Body Mass Index on Risk of Parkinson Disease: A Mendelian Randomisation Study. PLOS Medicine, 14, e1002314. [Google Scholar] [CrossRef] [PubMed]
[9] Burgess, S., Thompson, S.G., CRP CHD Genetics Collaboration (2011) Avoiding Bias from Weak Instruments in Mendelian Randomization Studies. International Journal of Epidemiology, 40, 755-764. [Google Scholar] [CrossRef] [PubMed]
[10] Sakaue, S., Kanai, M., Tanigawa, Y., et al. (2021) A Cross-Population Atlas of Genetic Associations for 220 Human Phenotypes. Nature Genetics, 53, 1415-1424. [Google Scholar] [CrossRef] [PubMed]
[11] Burgess, S., Butterworth, A. and Thompson, S.G. (2013) Mendelian Randomization Analysis with Multiple Genetic Variants Using Summarized Data. Genetic Epidemiology, 37, 658-665. [Google Scholar] [CrossRef] [PubMed]
[12] Hartwig, F.P., Davies, N.M., Hemani, G. and Smith, G.D. (2016) Two-Sample Mendelian Randomization: Avoiding the Downsides of a Powerful, Widely Applicable but Potentially Fallible Technique. International Journal of Epidemiology, 45, 1717-1726. [Google Scholar] [CrossRef] [PubMed]
[13] Pierce, B.L. and Burgess, S. (2013) Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators. American Journal of Epidemiology, 178, 1177-1184. [Google Scholar] [CrossRef] [PubMed]
[14] Bowden, J., Davey Smith, G. and Burgess, S. (2015) Mendelian Randomization with Invalid Instruments: Effect Estimation and Bias Detection through Egger Regression. International Journal of Epidemiology, 44, 512-525. [Google Scholar] [CrossRef] [PubMed]
[15] Burgess, S. and Thompson, S.G. (2017) Interpreting Findings from Mendelian Randomization Using the MR-Egger Method. International Journal of Epidemiology, 32, 377-389. [Google Scholar] [CrossRef] [PubMed]
[16] Hemani, G., Zheng, J., Elsworth, B., et al. (2018) The MR-Base Platform Supports Systematic Causal Inference Across the Human Phenome. eLife, 7, e34408. [Google Scholar] [CrossRef
[17] Chen, X., Kong, J., Pan, J., et al. (2021) Kidney Damage Causally Affects the Brain Cortical Structure: A Mendelian Randomization Study. eBioMedicine, 72, Article 103592. [Google Scholar] [CrossRef] [PubMed]
[18] MacGregor, J.O. (2019) Implementing MR-PRESSO and GCTA-GSMR for Pleiotropy Assessment in Mendelian Randomization Studies from a Practitioner’s Perspective. Genetic Epidemiology, 43, 609-616. [Google Scholar] [CrossRef] [PubMed]
[19] Paumgartner, G. and Sauerbruch, T. (1991) Gallstones: Pathogenesis. The Lancet, 338, 1117-1121. [Google Scholar] [CrossRef
[20] Paaby, A.B. and Rockman, M.V. (2013) The Many Faces of Pleiotropy. Trend in Genetics, 29, 66-73. [Google Scholar] [CrossRef] [PubMed]
[21] Smith, G.D. and Ebrahim, S. (2004) Mendelian Randomization: Prospects, Potentials, and Limitations.
https://pubmed.ncbi.nlm.nih.gov/15075143/
[22] Bowden, J., Smith, G.D., Haycock, P.C. and Burgess, S. (2016) Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genetic Epidemiology, 40, 304-314. [Google Scholar] [CrossRef] [PubMed]
[23] Swerdlow, D.I., Kuchenbaecker, K.B., Shah, S., et al. (2016) Selecting Instruments for Mendelian Randomization in the Wake of Genome-Wide Association Studies. International Journal of Epidemiology, 45, 1600-1616. [Google Scholar] [CrossRef] [PubMed]