Conghan Li, Panyin Shu, Taiyu Shi, Yuerong Chen, Ping Mei, Yizhong Zhang, Yan Wang, Xinyan Du, Jianning Wang, Yixin Zhang, Bin Liu, Zhijin Sheng, Shixin Chan, Zhangyong Dan
{"title":"根据肠道微生物群预测巴雷特食管的潜在恶化:孟德尔随机分析。","authors":"Conghan Li, Panyin Shu, Taiyu Shi, Yuerong Chen, Ping Mei, Yizhong Zhang, Yan Wang, Xinyan Du, Jianning Wang, Yixin Zhang, Bin Liu, Zhijin Sheng, Shixin Chan, Zhangyong Dan","doi":"10.1007/s00335-024-10042-7","DOIUrl":null,"url":null,"abstract":"<p><p>Esophageal adenocarcinoma (EAC) is one of the most malignant tumors in the digestive system. To make thing worse, the scarcity of treatment options is disheartening. However, if detected early, there is a possibility of reversing the condition. Unfortunately, there is still a lack of relevant early screening methods. Considering that Barrett's esophagus (BE), a precursor lesion of EAC, has been confirmed as the only known precursor of EAC. Analyzing which BE cases will progress to EAC and understanding the processes and mechanisms involved is of great significance for early screening of such patients. Considering the significant alterations in the gut microbiota of patients with BE and its potential role in the progression to EAC, this study aims to analyze the relationship between BE, EAC, and GM to identify potential diagnostic biomarkers and therapeutic targets. This study utilized comprehensive statistical data on gut microbiota from a large-scale genome-wide association meta-analysis conducted by the MiBioGen consortium (n = 18,340). Subsequently, we selected a set of single nucleotide polymorphisms (SNPs) that fell below the genome-wide significance threshold (1 × 10-5) as instrumental variables. To investigate the causal relationship between gut microbiota and BE and EAC, we employed various MR analysis methods, including Inverse Variance Weighting (IVW), MR-Egger regression, weighted median (WM), and weighted mean. Additionally, we assessed the level of pleiotropy, heterogeneity, and stability of genetic variations through MR-Egger intercept test, MR-PRESSO, Cochran's Q test, and \"leave-one-out\" sensitivity analysis. Furthermore, we conducted reverse MR analysis to identify the causal relationships between gut microbiota and BE and EAC. The results from the Inverse Variance-Weighted (IVW) analysis indicate that Alistipes (P = 4.86 × 10<sup>-2</sup>), Lactobacillus (P = 2.11 × 10<sup>-2</sup>), Prevotella 7 (P = 4.28 × 10<sup>-2</sup>), and RuminococcaceaeUCG004 (P = 4.34 × 10<sup>-2</sup>) are risk factors for Barrett's esophagus (BE), while Flavonifractor (P = 8.81 × 10<sup>-3</sup>) and RuminococcaceaeUCG004 (P = 4.99 × 10<sup>-2</sup>) are risk factors for esophageal adenocarcinoma (EAC). On the other hand, certain gut microbiota genera appear to have a protective effect against both BE and EAC. These include Eubacterium (nodatum group) (P = 4.51 × 10<sup>-2</sup>), Holdemania (P = 1.22 × 10<sup>-2</sup>), and Lactococcus (P = 3.39 × 10<sup>-2</sup>) in the BE cohort, as well as Eubacterium (hallii group) (P = 4.07 × 10<sup>-2</sup>) and Actinomyces (P = 3.62 × 10<sup>-3</sup>) in the EAC cohort. According to the results of reverse MR analysis, no significant causal effects of BE and EAC on gut microbiota were observed. Furthermore, no significant heterogeneity or pleiotropy was detected in the instrumental variables. We have established a causal relationship between the gut microbiota and BE and EAC. This study holds profound significance for screening BE patients who may be at risk of deterioration, as it can provide them with timely medical interventions to reverse the condition.</p>","PeriodicalId":18259,"journal":{"name":"Mammalian Genome","volume":" ","pages":"399-413"},"PeriodicalIF":2.7000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the potential deterioration of Barrett's esophagus based on gut microbiota: a Mendelian randomization analysis.\",\"authors\":\"Conghan Li, Panyin Shu, Taiyu Shi, Yuerong Chen, Ping Mei, Yizhong Zhang, Yan Wang, Xinyan Du, Jianning Wang, Yixin Zhang, Bin Liu, Zhijin Sheng, Shixin Chan, Zhangyong Dan\",\"doi\":\"10.1007/s00335-024-10042-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Esophageal adenocarcinoma (EAC) is one of the most malignant tumors in the digestive system. To make thing worse, the scarcity of treatment options is disheartening. However, if detected early, there is a possibility of reversing the condition. Unfortunately, there is still a lack of relevant early screening methods. Considering that Barrett's esophagus (BE), a precursor lesion of EAC, has been confirmed as the only known precursor of EAC. Analyzing which BE cases will progress to EAC and understanding the processes and mechanisms involved is of great significance for early screening of such patients. Considering the significant alterations in the gut microbiota of patients with BE and its potential role in the progression to EAC, this study aims to analyze the relationship between BE, EAC, and GM to identify potential diagnostic biomarkers and therapeutic targets. This study utilized comprehensive statistical data on gut microbiota from a large-scale genome-wide association meta-analysis conducted by the MiBioGen consortium (n = 18,340). Subsequently, we selected a set of single nucleotide polymorphisms (SNPs) that fell below the genome-wide significance threshold (1 × 10-5) as instrumental variables. To investigate the causal relationship between gut microbiota and BE and EAC, we employed various MR analysis methods, including Inverse Variance Weighting (IVW), MR-Egger regression, weighted median (WM), and weighted mean. Additionally, we assessed the level of pleiotropy, heterogeneity, and stability of genetic variations through MR-Egger intercept test, MR-PRESSO, Cochran's Q test, and \\\"leave-one-out\\\" sensitivity analysis. Furthermore, we conducted reverse MR analysis to identify the causal relationships between gut microbiota and BE and EAC. The results from the Inverse Variance-Weighted (IVW) analysis indicate that Alistipes (P = 4.86 × 10<sup>-2</sup>), Lactobacillus (P = 2.11 × 10<sup>-2</sup>), Prevotella 7 (P = 4.28 × 10<sup>-2</sup>), and RuminococcaceaeUCG004 (P = 4.34 × 10<sup>-2</sup>) are risk factors for Barrett's esophagus (BE), while Flavonifractor (P = 8.81 × 10<sup>-3</sup>) and RuminococcaceaeUCG004 (P = 4.99 × 10<sup>-2</sup>) are risk factors for esophageal adenocarcinoma (EAC). On the other hand, certain gut microbiota genera appear to have a protective effect against both BE and EAC. These include Eubacterium (nodatum group) (P = 4.51 × 10<sup>-2</sup>), Holdemania (P = 1.22 × 10<sup>-2</sup>), and Lactococcus (P = 3.39 × 10<sup>-2</sup>) in the BE cohort, as well as Eubacterium (hallii group) (P = 4.07 × 10<sup>-2</sup>) and Actinomyces (P = 3.62 × 10<sup>-3</sup>) in the EAC cohort. According to the results of reverse MR analysis, no significant causal effects of BE and EAC on gut microbiota were observed. Furthermore, no significant heterogeneity or pleiotropy was detected in the instrumental variables. We have established a causal relationship between the gut microbiota and BE and EAC. This study holds profound significance for screening BE patients who may be at risk of deterioration, as it can provide them with timely medical interventions to reverse the condition.</p>\",\"PeriodicalId\":18259,\"journal\":{\"name\":\"Mammalian Genome\",\"volume\":\" \",\"pages\":\"399-413\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mammalian Genome\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s00335-024-10042-7\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mammalian Genome","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00335-024-10042-7","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Predicting the potential deterioration of Barrett's esophagus based on gut microbiota: a Mendelian randomization analysis.
Esophageal adenocarcinoma (EAC) is one of the most malignant tumors in the digestive system. To make thing worse, the scarcity of treatment options is disheartening. However, if detected early, there is a possibility of reversing the condition. Unfortunately, there is still a lack of relevant early screening methods. Considering that Barrett's esophagus (BE), a precursor lesion of EAC, has been confirmed as the only known precursor of EAC. Analyzing which BE cases will progress to EAC and understanding the processes and mechanisms involved is of great significance for early screening of such patients. Considering the significant alterations in the gut microbiota of patients with BE and its potential role in the progression to EAC, this study aims to analyze the relationship between BE, EAC, and GM to identify potential diagnostic biomarkers and therapeutic targets. This study utilized comprehensive statistical data on gut microbiota from a large-scale genome-wide association meta-analysis conducted by the MiBioGen consortium (n = 18,340). Subsequently, we selected a set of single nucleotide polymorphisms (SNPs) that fell below the genome-wide significance threshold (1 × 10-5) as instrumental variables. To investigate the causal relationship between gut microbiota and BE and EAC, we employed various MR analysis methods, including Inverse Variance Weighting (IVW), MR-Egger regression, weighted median (WM), and weighted mean. Additionally, we assessed the level of pleiotropy, heterogeneity, and stability of genetic variations through MR-Egger intercept test, MR-PRESSO, Cochran's Q test, and "leave-one-out" sensitivity analysis. Furthermore, we conducted reverse MR analysis to identify the causal relationships between gut microbiota and BE and EAC. The results from the Inverse Variance-Weighted (IVW) analysis indicate that Alistipes (P = 4.86 × 10-2), Lactobacillus (P = 2.11 × 10-2), Prevotella 7 (P = 4.28 × 10-2), and RuminococcaceaeUCG004 (P = 4.34 × 10-2) are risk factors for Barrett's esophagus (BE), while Flavonifractor (P = 8.81 × 10-3) and RuminococcaceaeUCG004 (P = 4.99 × 10-2) are risk factors for esophageal adenocarcinoma (EAC). On the other hand, certain gut microbiota genera appear to have a protective effect against both BE and EAC. These include Eubacterium (nodatum group) (P = 4.51 × 10-2), Holdemania (P = 1.22 × 10-2), and Lactococcus (P = 3.39 × 10-2) in the BE cohort, as well as Eubacterium (hallii group) (P = 4.07 × 10-2) and Actinomyces (P = 3.62 × 10-3) in the EAC cohort. According to the results of reverse MR analysis, no significant causal effects of BE and EAC on gut microbiota were observed. Furthermore, no significant heterogeneity or pleiotropy was detected in the instrumental variables. We have established a causal relationship between the gut microbiota and BE and EAC. This study holds profound significance for screening BE patients who may be at risk of deterioration, as it can provide them with timely medical interventions to reverse the condition.
期刊介绍:
Mammalian Genome focuses on the experimental, theoretical and technical aspects of genetics, genomics, epigenetics and systems biology in mouse, human and other mammalian species, with an emphasis on the relationship between genotype and phenotype, elucidation of biological and disease pathways as well as experimental aspects of interventions, therapeutics, and precision medicine. The journal aims to publish high quality original papers that present novel findings in all areas of mammalian genetic research as well as review articles on areas of topical interest. The journal will also feature commentaries and editorials to inform readers of breakthrough discoveries as well as issues of research standards, policies and ethics.