Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China.
The Second Hospital of Tianjin Medical University, Tianjin, China.
Front Immunol. 2024 Jul 31;15:1434369. doi: 10.3389/fimmu.2024.1434369. eCollection 2024.
This study sought to identify circulating proteins causally linked to Inflammatory Bowel Disease (IBD) traits through a Mendelian Randomization (MR) analytical framework.
Using a large-scale, two-sample MR approach, we estimated the genetic links of numerous plasma proteins with IBD and its subtypes, leveraging information from the Inflammatory Bowel Disease Genetics Consortium. To assess the robustness of MR findings, methods like Bayesian colocalization, and Steiger filtering analysis, evaluation of protein-altering variants. Further insights into IBD's underlying mechanisms and therapeutic targets were gleaned from single-cell sequencing analyses, protein-protein interaction assessments, pathway enrichment analyses, and evaluation of drug targets.
By cis-only MR analysis, we identified 83 protein-phenotype associations involving 27 different proteins associated with at least one IBD subtype. Among these proteins, DAG1, IL10, IL12B, IL23R, MST1, STAT3 and TNFRSF6B showed overlapping positive or negative associations in all IBD phenotypes. Extending to cis + trans MR analysis, we further identified 117 protein-feature associations, including 44 unique proteins, most of which were not detected in the cis-only analysis. In addition, by performing co-localization analysis and Steiger filtering analysis on the prioritized associations, we further confirmed the causal relationship between these proteins and the IBD phenotype and verified the exact causal direction from the protein to the IBD-related feature.
MR analysis facilitated the identification of numerous circulating proteins associated with IBD traits, unveiling protein-mediated mechanisms and promising therapeutic targets.
本研究旨在通过孟德尔随机化(MR)分析框架,确定与炎症性肠病(IBD)特征相关的循环蛋白。
利用大规模两样本 MR 方法,我们利用炎症性肠病遗传学联合会的信息,估计了许多血浆蛋白与 IBD 及其亚型的遗传联系。为了评估 MR 发现的稳健性,我们采用了贝叶斯共定位和 Steiger 过滤分析等方法,评估了蛋白改变变体。通过单细胞测序分析、蛋白质-蛋白质相互作用评估、途径富集分析以及药物靶点评估,进一步深入了解 IBD 的潜在机制和治疗靶点。
通过顺式仅 MR 分析,我们确定了 83 个蛋白-表型关联,涉及 27 种不同的蛋白,这些蛋白与至少一种 IBD 亚型相关。在这些蛋白中,DAG1、IL10、IL12B、IL23R、MST1、STAT3 和 TNFRSF6B 在所有 IBD 表型中表现出重叠的阳性或阴性关联。通过顺式+反式 MR 分析,我们进一步确定了 117 个蛋白-特征关联,包括 44 个独特的蛋白,其中大多数在顺式仅分析中未被检测到。此外,通过对优先关联进行共定位分析和 Steiger 过滤分析,我们进一步证实了这些蛋白与 IBD 表型之间的因果关系,并验证了从蛋白到 IBD 相关特征的确切因果方向。
MR 分析有助于确定与 IBD 特征相关的许多循环蛋白,揭示了蛋白介导的机制和有前途的治疗靶点。