{"title":"从不同层面探索胆道闭锁的因果关系:双样本孟德尔随机研究。","authors":"Shaowen Liu, Jiayinaxi Musha, Zhiru Wang, Xueting Wang, Tengfei Li, Jianghua Zhan","doi":"10.1136/wjps-2023-000754","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In recent years, Mendelian randomization (MR) has been widely used to infer causality of related disease risk exposures. However, this strategy has not been applied to biliary atresia (BA).</p><p><strong>Methods: </strong>Genome-wide association studies (GWAS) data of 41 inflammatory cytokines, 731 immune cell traits, and 1400 metabolites were obtained from public databases as exposure factors. The outcome information was obtained from a GWAS meta-analysis of 499 children with BA and 1928 normal controls. Inverse variance weighting was the primary causality analysis. Cochran Q-test, MR-Egger intercept, MR pleiotropy residual sum and outlier, and 'leave-one-out' analyses were used for sensitivity analysis. Reverse MR, MR-Steiger, and Linkage Disequilibrium Score were used to exclude the effects of reverse causality, genetic association, and linkage disequilibrium.</p><p><strong>Results: </strong>MR results showed that a total of seven traits had potential causal relationships with BA, including three inflammatory cytokines: eotaxin (odds ratio (OR)=1.45, 95% confidence interval (CI): 1.08 to 1.95, <i>p</i> <sub><i>FDR</i></sub>=0.18), G-CSF (OR=4.21, 95% CI: 1.75 to 10.13, <i>p</i> <sub><i>FDR</i></sub>=0.05) and MCP-1/MCAF (OR=1.53, 95% CI: 1.12 to 2.10, <i>p</i> <sub><i>FDR</i></sub>=0.14); three immune cell traits: CD8dim NKT/T cells ratio (OR=0.59, 95% CI: 0.45 to 0.77, <i>p</i> <sub><i>FDR</i></sub>=0.06), CD8dim NKT counts (OR=0.58, 95% CI: 0.43 to 0.78, <i>p</i> <sub><i>FDR</i></sub>=0.06), CD8dim NKT/lymphocyte ratio (OR=0.63, 95% CI: 0.49 to 0.81, <i>p</i> <sub><i>FDR</i></sub>=0.06); one metabolite: X-12261 levels (OR=2.86, 95% CI: 1.73 to 4.74, <i>p</i> <sub><i>FDR</i></sub>=0.06).</p><p><strong>Conclusions: </strong>In this study, eotaxin, G-CSF, MCP-1/MCAF, and X-12261 levels were shown to be risk factors for BA. However, CD8dim NKT/T cells ratio, CD8dim NKT counts, and CD8dim NKT/lymphocyte ratio were protective factors for BA. These findings provided a promising genetic basis for the etiology, diagnosis, and treatment of BA.</p>","PeriodicalId":23823,"journal":{"name":"World Journal of Pediatric Surgery","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11086552/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring causality with biliary atresia at different levels: two-sample Mendelian randomization study.\",\"authors\":\"Shaowen Liu, Jiayinaxi Musha, Zhiru Wang, Xueting Wang, Tengfei Li, Jianghua Zhan\",\"doi\":\"10.1136/wjps-2023-000754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In recent years, Mendelian randomization (MR) has been widely used to infer causality of related disease risk exposures. However, this strategy has not been applied to biliary atresia (BA).</p><p><strong>Methods: </strong>Genome-wide association studies (GWAS) data of 41 inflammatory cytokines, 731 immune cell traits, and 1400 metabolites were obtained from public databases as exposure factors. The outcome information was obtained from a GWAS meta-analysis of 499 children with BA and 1928 normal controls. Inverse variance weighting was the primary causality analysis. Cochran Q-test, MR-Egger intercept, MR pleiotropy residual sum and outlier, and 'leave-one-out' analyses were used for sensitivity analysis. Reverse MR, MR-Steiger, and Linkage Disequilibrium Score were used to exclude the effects of reverse causality, genetic association, and linkage disequilibrium.</p><p><strong>Results: </strong>MR results showed that a total of seven traits had potential causal relationships with BA, including three inflammatory cytokines: eotaxin (odds ratio (OR)=1.45, 95% confidence interval (CI): 1.08 to 1.95, <i>p</i> <sub><i>FDR</i></sub>=0.18), G-CSF (OR=4.21, 95% CI: 1.75 to 10.13, <i>p</i> <sub><i>FDR</i></sub>=0.05) and MCP-1/MCAF (OR=1.53, 95% CI: 1.12 to 2.10, <i>p</i> <sub><i>FDR</i></sub>=0.14); three immune cell traits: CD8dim NKT/T cells ratio (OR=0.59, 95% CI: 0.45 to 0.77, <i>p</i> <sub><i>FDR</i></sub>=0.06), CD8dim NKT counts (OR=0.58, 95% CI: 0.43 to 0.78, <i>p</i> <sub><i>FDR</i></sub>=0.06), CD8dim NKT/lymphocyte ratio (OR=0.63, 95% CI: 0.49 to 0.81, <i>p</i> <sub><i>FDR</i></sub>=0.06); one metabolite: X-12261 levels (OR=2.86, 95% CI: 1.73 to 4.74, <i>p</i> <sub><i>FDR</i></sub>=0.06).</p><p><strong>Conclusions: </strong>In this study, eotaxin, G-CSF, MCP-1/MCAF, and X-12261 levels were shown to be risk factors for BA. However, CD8dim NKT/T cells ratio, CD8dim NKT counts, and CD8dim NKT/lymphocyte ratio were protective factors for BA. These findings provided a promising genetic basis for the etiology, diagnosis, and treatment of BA.</p>\",\"PeriodicalId\":23823,\"journal\":{\"name\":\"World Journal of Pediatric Surgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11086552/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Journal of Pediatric Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/wjps-2023-000754\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Pediatric Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/wjps-2023-000754","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"PEDIATRICS","Score":null,"Total":0}
Exploring causality with biliary atresia at different levels: two-sample Mendelian randomization study.
Background: In recent years, Mendelian randomization (MR) has been widely used to infer causality of related disease risk exposures. However, this strategy has not been applied to biliary atresia (BA).
Methods: Genome-wide association studies (GWAS) data of 41 inflammatory cytokines, 731 immune cell traits, and 1400 metabolites were obtained from public databases as exposure factors. The outcome information was obtained from a GWAS meta-analysis of 499 children with BA and 1928 normal controls. Inverse variance weighting was the primary causality analysis. Cochran Q-test, MR-Egger intercept, MR pleiotropy residual sum and outlier, and 'leave-one-out' analyses were used for sensitivity analysis. Reverse MR, MR-Steiger, and Linkage Disequilibrium Score were used to exclude the effects of reverse causality, genetic association, and linkage disequilibrium.
Results: MR results showed that a total of seven traits had potential causal relationships with BA, including three inflammatory cytokines: eotaxin (odds ratio (OR)=1.45, 95% confidence interval (CI): 1.08 to 1.95, pFDR=0.18), G-CSF (OR=4.21, 95% CI: 1.75 to 10.13, pFDR=0.05) and MCP-1/MCAF (OR=1.53, 95% CI: 1.12 to 2.10, pFDR=0.14); three immune cell traits: CD8dim NKT/T cells ratio (OR=0.59, 95% CI: 0.45 to 0.77, pFDR=0.06), CD8dim NKT counts (OR=0.58, 95% CI: 0.43 to 0.78, pFDR=0.06), CD8dim NKT/lymphocyte ratio (OR=0.63, 95% CI: 0.49 to 0.81, pFDR=0.06); one metabolite: X-12261 levels (OR=2.86, 95% CI: 1.73 to 4.74, pFDR=0.06).
Conclusions: In this study, eotaxin, G-CSF, MCP-1/MCAF, and X-12261 levels were shown to be risk factors for BA. However, CD8dim NKT/T cells ratio, CD8dim NKT counts, and CD8dim NKT/lymphocyte ratio were protective factors for BA. These findings provided a promising genetic basis for the etiology, diagnosis, and treatment of BA.