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Abstract：
UNASSIGNED: The main functional gastrointestinal disorders (FGIDs) include functional dyspepsia (FD) and irritable bowel syndrome (IBS), which often present overlapping symptoms with gastroesophageal reflux disease (GERD), posing a challenge for clinical diagnosis and treatment. The gut microbiota is closely associated with FGIDs and GERD, although the causal relationship has not been fully elucidated. Therefore, we aimed to investigate the potential causal relationship using bidirectional two-sample Mendelian randomization (MR) analysis.
UNASSIGNED: The genetic data of the 211 gut microbiota were obtained from the MiBioGen consortium (N = 14,306, from phylum to genus level) and species level of gut microbiota were acquired from the Dutch Microbiome Project (N = 7,738). For FD and IBS, we utilized the FinnGen consortium, whereas, for GERD data analysis, we obtained the IEU OpenGWAS project. The inverse-variance weighted (IVW) method was used as the primary method to calculate causal effect values. Sensitivity analyses were also performed to confirm the robustness of the primary findings of the MR analyses. Moreover, a reverse MR analysis was conducted to assess the likelihood of reverse causality.
UNASSIGNED: Combining the results of the preliminary and sensitivity analyses, we identified that 8 gut microbial taxa were associated with FD. Genus Lachnospiraceae NK4A136 group (p = 3.63 × 10-3) and genus Terrisporobacter (p = 1.13 × 10-3) were strongly associated with FD. At the same time, we found that 8 gut microbial taxa were associated with IBS. Family Prevotellaceae (p = 2.44 × 10-3) and species Clostridium leptum (p = 7.68 × 10-3) display a robust correlation with IBS. In addition, 5 gut microbial taxa were associated with GERD using the IVW approach. In the reverse MR analysis, 2 gut microbial taxa were found to be associated with FD, 5 gut microbial taxa were found to be associated with IBS, and 21 gut microbial taxa were found to be associated with GERD.
UNASSIGNED: The study reveals the potential causal effects of specific microbial taxa on FD, IBS, and GERD and may offer novel insights into the diagnosis and treatment of these conditions.
UNASSIGNED: The genetic data of the 211 gut microbiota were obtained from the MiBioGen consortium (N = 14,306, from phylum to genus level) and species level of gut microbiota were acquired from the Dutch Microbiome Project (N = 7,738). For FD and IBS, we utilized the FinnGen consortium, whereas, for GERD data analysis, we obtained the IEU OpenGWAS project. The inverse-variance weighted (IVW) method was used as the primary method to calculate causal effect values. Sensitivity analyses were also performed to confirm the robustness of the primary findings of the MR analyses. Moreover, a reverse MR analysis was conducted to assess the likelihood of reverse causality.
UNASSIGNED: Combining the results of the preliminary and sensitivity analyses, we identified that 8 gut microbial taxa were associated with FD. Genus Lachnospiraceae NK4A136 group (p = 3.63 × 10-3) and genus Terrisporobacter (p = 1.13 × 10-3) were strongly associated with FD. At the same time, we found that 8 gut microbial taxa were associated with IBS. Family Prevotellaceae (p = 2.44 × 10-3) and species Clostridium leptum (p = 7.68 × 10-3) display a robust correlation with IBS. In addition, 5 gut microbial taxa were associated with GERD using the IVW approach. In the reverse MR analysis, 2 gut microbial taxa were found to be associated with FD, 5 gut microbial taxa were found to be associated with IBS, and 21 gut microbial taxa were found to be associated with GERD.
UNASSIGNED: The study reveals the potential causal effects of specific microbial taxa on FD, IBS, and GERD and may offer novel insights into the diagnosis and treatment of these conditions.
摘要：
■主要的功能性胃肠病（FGID）包括功能性消化不良（FD）和肠易激综合征（IBS），通常与胃食管反流病（GERD）重叠的症状，对临床诊断和治疗提出了挑战。肠道菌群与FGIDs和GERD密切相关，虽然因果关系尚未完全阐明。因此,我们旨在使用双向双样本孟德尔随机化(MR)分析来调查潜在的因果关系.
■211肠道微生物群的遗传数据来自MiBioGen联盟（N=14,306，从门到属水平），肠道微生物群的物种水平来自荷兰微生物组计划（N=7,738）。对于FD和IBS，我们利用了FinnGen财团,然而,用于GERD数据分析，我们获得了IEUOpenGWAS项目。使用逆方差加权（IVW）方法作为计算因果效应值的主要方法。还进行了敏感性分析以确认MR分析的主要发现的稳健性。此外，我们进行了反向MR分析,以评估反向因果关系的可能性.
■结合初步分析和敏感性分析的结果，我们确定了8个肠道微生物类群与FD相关。鼠尾草属NK4A136组（p=3.63×10-3）和三孢杆菌属（p=1.13×10-3）与FD密切相关。同时,我们发现8个肠道微生物类群与IBS相关。Prevotellaceae科（p=2.44×10-3）和细辛梭菌（p=7.68×10-3）与IBS具有很强的相关性。此外,使用IVW方法，5个肠道微生物类群与GERD相关。在反向MR分析中，发现2个肠道微生物类群与FD有关，发现5个肠道微生物类群与IBS有关，发现21个肠道微生物类群与GERD有关。
■该研究揭示了特定微生物类群对FD的潜在因果影响，IBS,和GERD，并可能为这些疾病的诊断和治疗提供新的见解。
■211肠道微生物群的遗传数据来自MiBioGen联盟（N=14,306，从门到属水平），肠道微生物群的物种水平来自荷兰微生物组计划（N=7,738）。对于FD和IBS，我们利用了FinnGen财团,然而,用于GERD数据分析，我们获得了IEUOpenGWAS项目。使用逆方差加权（IVW）方法作为计算因果效应值的主要方法。还进行了敏感性分析以确认MR分析的主要发现的稳健性。此外，我们进行了反向MR分析,以评估反向因果关系的可能性.
■结合初步分析和敏感性分析的结果，我们确定了8个肠道微生物类群与FD相关。鼠尾草属NK4A136组（p=3.63×10-3）和三孢杆菌属（p=1.13×10-3）与FD密切相关。同时,我们发现8个肠道微生物类群与IBS相关。Prevotellaceae科（p=2.44×10-3）和细辛梭菌（p=7.68×10-3）与IBS具有很强的相关性。此外,使用IVW方法，5个肠道微生物类群与GERD相关。在反向MR分析中，发现2个肠道微生物类群与FD有关，发现5个肠道微生物类群与IBS有关，发现21个肠道微生物类群与GERD有关。
■该研究揭示了特定微生物类群对FD的潜在因果影响，IBS,和GERD，并可能为这些疾病的诊断和治疗提供新的见解。
