研究肠道菌群与风湿性瓣膜病(RVD)之间的关系对于了解疾病的病因和制定有效的干预措施至关重要。我们的研究采用了一种新颖的方法来检验这些因素之间的潜在因果关系。
■利用双样本孟德尔随机化(MR)框架,我们采用了多变量MR(MVMR)策略来评估相关的中介机制.这种方法涉及分析MiBioGen联盟的肠道微生物群数据和FinnGen的RVD数据,在其他来源中。仪器变量(IV)是根据严格的MR原则精心选择的,使用双向双样本MR进行统计分析,例如逆方差加权(IVW),加权中位数,MR-Egger回归和MRSteiger测试方法。MR-PRESSO策略用于异常值检测,和MVMR用于理清多种微生物群与RVD之间的复杂关系。
■我们的分析强调了对RVD具有潜在保护作用的几种肠道微生物群类别和家族,包括Lentisphaerae,阿尔法变形杆菌,和链球菌科。相比之下,某些属,例如真细菌和臭细菌,被确定为潜在的风险因素。MVMR分析揭示了各种免疫细胞性状和生物标志物的显着调解作用,如CD4-CD8-T细胞,末端分化CD8+T细胞上的CD3和Pentraxin相关蛋白PTX,阐明将肠道微生物群与RVD联系起来的复杂途径。
■这项研究强调了肠道微生物群与RVD之间复杂且潜在的因果关系,通过一系列免疫和激素因素介导。在我们的方法论方法中使用MVMR提供了对这些相互作用的更全面的理解,强调肠道微生物群作为RVD管理治疗靶点的潜力。我们的发现为进一步研究探索这些复杂的关系和开发针对RVD的有针对性的干预措施铺平了道路。
UNASSIGNED: Investigating the relationship between gut microbiota and Rheumatic Valve Disease (RVD) is crucial for understanding the disease\'s etiology and developing effective interventions. Our study adopts a novel approach to examine the potential causal connections between these factors.
UNASSIGNED: Utilizing a two-sample Mendelian Randomization (MR) framework, we incorporated a multi-variable MR (MVMR) strategy to assess the mediatory mechanisms involved. This approach involved analyzing data from the MiBioGen consortium for gut microbiota and the FinnGen for RVD, among other sources. Instrumental variables (IVs) were carefully selected based on rigorous MR principles, and statistical analysis was conducted using bidirectional two-sample MR, such as inverse variance-weighted (IVW), weighted median, MR-Egger regression and MR Steiger Test methods. The MR-PRESSO strategy was employed for outlier detection, and MVMR was used to untangle the complex relationships between multiple microbiota and RVD.
UNASSIGNED: Our analysis highlighted several gut microbiota classes and families with potential protective effects against RVD, including Lentisphaerae, Alphaproteobacteria, and Streptococcaceae. In contrast, certain genera, such as Eubacterium eligens and Odoribacter, were identified as potential risk factors. The MVMR analysis revealed significant mediation effects of various immune cell traits and biomarkers, such as CD4-CD8- T cells, CD3 on Terminally Differentiated CD8+ T cell and Pentraxin-related protein PTX, elucidating the complex pathways linking gut microbiota to RVD.
UNASSIGNED: This study underscores the intricate and potentially causal relationship between gut microbiota and RVD, mediated through a range of immune and hormonal factors. The use of MVMR in our methodological approach provides a more comprehensive understanding of these interactions, highlighting the gut microbiota\'s potential as therapeutic targets in RVD management. Our findings pave the way for further research to explore these complex relationships and develop targeted interventions for RVD.