Yang Wei, Cui Miao, Yang Peng, Liu Chenlin, Han Xiuzhen, Yao Wenyi, Li Zhenhua
Changchun University of Chinese Medicine, 1035 Boshuo Road, Jilin Province, Changchun, 130117, People's Republic of China.
School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China.
Sci Rep. 2025 Jan 2;15(1):514. doi: 10.1038/s41598-024-84116-6.
With the ongoing rise in the incidence of inflammatory bowel disease (IBD), its extraintestinal manifestations have garnered significant attention. IBD-related arthritis is notable for its insidious onset and unpredictability, presenting considerable challenges for clinical diagnosis and management. Factors such as gut microbiota, plasma proteins, inflammatory proteins, and biomarkers found in blood and urine may be closely associated with IBD-related arthritis. However, the mechanisms by which these factors influence this condition remain poorly understood and require urgent investigation. We employed the method of linkage disequilibrium and the two-sample Mendelian randomization (MR) approach, utilizing single nucleotide polymorphisms (SNPs) identified from large-scale genome-wide association studies as instrumental variables. In this scientifically rigorous manner, we explored the potential causal relationship between gut microbiota, plasma proteins, inflammatory proteins, and blood and urine biomarkers in relation to arthritis resulting from inflammatory bowel disease (IBD). This method aids in elucidating the potential roles of these biomarkers in the development of arthritis following IBD, while minimizing the confounding factors and reverse causality commonly encountered in observational studies. To further verify and strengthen our findings, we conducted subsequent sensitivity analyses. These analyses will evaluate the strength of the association between SNPs and the studied biomarkers, as well as post-IBD arthritis, while accounting for variations in SNP distribution among populations and other potential genetic influencing factors. Through these rigorous analytical steps, our objective is to enhance the robustness and credibility of the research findings and provide more reliable scientific evidence regarding the pathogenesis of post-IBD arthritis. MR analysis provides evidence for the association between genetically predicted gut microbiota, plasma proteins, inflammatory proteins, and blood and urine biomarkers with the risk of IBD-related arthritis. This analysis investigates the characteristics of the associations between specific gut microbiota, plasma proteins, inflammatory proteins, and blood and urine biomarkers in relation to IBD-related arthritis. Among the plasma proteins, pterin-4-alpha-carbinolamine dehydratase, aldo-keto reductase family 1 member C4, cathepsin L2, angiostatin, hepatocyte growth factor-like protein, hepatitis A virus cellular receptor 2, protein O-linked mannose beta-1,4-N-acetylglucosaminyltransferase 2, epididymal-specific alpha-mannosidase, and platelet-derived growth factor receptor-like protein are associated with Crohn's disease-related arthritis. In contrast, agrin, methylenetetrahydrofolate synthetase domain-containing protein, neurotrophin-3 (NT-3) growth factor receptor, and neuropilin-1 are associated with ulcerative colitis-related arthritis. Furthermore, regarding gut bacterial pathway abundance, adenosylcobalamin, N-acetylglucosamine, N-acetylmannosamine, and N-acetylneuraminic acid degradation, as well as glycolysis metabolism and degradation pathways, are associated with Crohn's disease-related arthritis. Meanwhile, gut bacterial pathway abundance (pentose phosphate pathway) and gut microbiota abundance (Bacteroidetes, Bacteroidia, Bacteroidales, Porphyromonadaceae, Faecalibacterium, Eubacterium eligens) are linked to ulcerative colitis-related arthritis. Notably, we did not identify any connections between inflammatory protein factors, blood and urine biomarkers, and IBD-related arthritis. Lastly, in the reverse MR study, the insufficient number of SNPs available for analysis precluded the detection of a reverse causal relationship. This study employs the MR method to elucidate the potential causal relationships among gut microbiota, plasma proteins, inflammatory proteins, and blood and urine biomarkers in relation to the occurrence and progression of IBD-related arthritis. This research offers a novel perspective for a deeper understanding of the pathogenesis of IBD-related arthritis and highlights future directions for the diagnosis and treatment strategies of this condition.
随着炎症性肠病(IBD)发病率的持续上升,其肠外表现已引起广泛关注。IBD相关关节炎以其隐匿性发作和不可预测性而著称,给临床诊断和管理带来了巨大挑战。肠道微生物群、血浆蛋白、炎症蛋白以及血液和尿液中发现的生物标志物等因素可能与IBD相关关节炎密切相关。然而,这些因素影响该疾病的机制仍知之甚少,亟需深入研究。我们采用连锁不平衡方法和两样本孟德尔随机化(MR)方法,利用从大规模全基因组关联研究中鉴定出的单核苷酸多态性(SNP)作为工具变量。通过这种科学严谨的方式,我们探讨了肠道微生物群、血浆蛋白、炎症蛋白以及血液和尿液生物标志物与炎症性肠病(IBD)所致关节炎之间的潜在因果关系。该方法有助于阐明这些生物标志物在IBD后关节炎发展中的潜在作用,同时最大限度地减少观察性研究中常见的混杂因素和反向因果关系。为了进一步验证和强化我们的发现,我们进行了后续的敏感性分析。这些分析将评估SNP与所研究生物标志物以及IBD后关节炎之间关联的强度,同时考虑人群中SNP分布的差异以及其他潜在的遗传影响因素。通过这些严谨的分析步骤,我们的目标是提高研究结果的稳健性和可信度,并为IBD后关节炎的发病机制提供更可靠的科学证据。MR分析为基因预测的肠道微生物群、血浆蛋白、炎症蛋白以及血液和尿液生物标志物与IBD相关关节炎风险之间的关联提供了证据。该分析研究了特定肠道微生物群、血浆蛋白、炎症蛋白以及血液和尿液生物标志物与IBD相关关节炎之间关联的特征。在血浆蛋白中,蝶呤-4-α-羧基胺脱水酶、醛酮还原酶家族1成员C4、组织蛋白酶L2、血管抑素、肝细胞生长因子样蛋白、甲型肝炎病毒细胞受体2、蛋白O-连接甘露糖β-1,4-N-乙酰葡糖胺基转移酶2、附睾特异性α-甘露糖苷酶和血小板衍生生长因子受体样蛋白与克罗恩病相关关节炎有关。相比之下,集聚蛋白、含亚甲基四氢叶酸合成酶结构域蛋白、神经营养因子-3(NT-3)生长因子受体和神经纤毛蛋白-1与溃疡性结肠炎相关关节炎有关。此外,关于肠道细菌途径丰度,腺苷钴胺、N-乙酰葡糖胺、N-乙酰甘露糖胺和N-乙酰神经氨酸降解以及糖酵解代谢和降解途径与克罗恩病相关关节炎有关。同时,肠道细菌途径丰度(磷酸戊糖途径)和肠道微生物群丰度(拟杆菌门、拟杆菌纲、拟杆菌目、卟啉单胞菌科、粪杆菌属、优杆菌属)与溃疡性结肠炎相关关节炎有关。值得注意的是,我们未发现炎症蛋白因子、血液和尿液生物标志物与IBD相关关节炎之间存在任何关联。最后,在反向MR研究中,可用于分析的SNP数量不足,无法检测到反向因果关系。本研究采用MR方法阐明肠道微生物群、血浆蛋白、炎症蛋白以及血液和尿液生物标志物与IBD相关关节炎发生和发展之间的潜在因果关系。本研究为深入了解IBD相关关节炎的发病机制提供了新的视角,并突出了该疾病诊断和治疗策略的未来方向。