Zhang Fangyuan, Jiang Feiyu, Yao Ziqin, Luo Hongbin, Xu Shoufang, Zhang Yingying, Wang Xinhui, Liu Zhiwei
Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Front Nutr. 2024 May 7;11:1256832. doi: 10.3389/fnut.2024.1256832. eCollection 2024.
Observational studies have found associations between blood cell traits and inflammatory bowel diseases (IBDs), whereas the causality and dose-effect relationships are still undetermined.
Two-sample Mendelian randomization (MR) analyses using linear regression approaches, as well as Bayesian model averaging (MR-BMA), were conducted to identify and prioritize the causal blood cell traits for Crohn's disease (CD) and ulcerative colitis (UC). An observational study was also performed using restricted cubic spline (RCS) to explore the relationship between important blood cell traits and IBDs.
Our uvMR analysis using the random effects inverse variance weighted (IVW) method identified eosinophil (EOS) as a causal factor for UC (OR = 1.36; 95% CI: 1.13, 1.63). Our MR-BMA analysis further prioritized that high level of lymphocyte (LYM) decreased CD risk (MIP = 0.307; = -0.059; PP = 0.189; = -0.173), whereas high level of EOS increased UC risk (MIP = 0.824; = 0.198; PP = 0.627; = 0.239). Furthermore, the observational study clearly depicts the nonlinear relationship between important blood cell traits and the risk of IBDs.
Using MR approaches, several blood cell traits were identified as risk factors of CD and UC, which could be used as potential targets for the management of IBDs. Stratified genome-wide association studies (GWASs) based on the concentration of traits would be helpful owing to the nonlinear relationships between blood cell traits and IBDs, as demonstrated in our clinical observational study. Together, these findings could shed light on the clinical strategies applied to the management of CD and UC.
观察性研究发现血细胞特征与炎症性肠病(IBD)之间存在关联,但其因果关系和剂量-效应关系仍未确定。
采用线性回归方法进行两样本孟德尔随机化(MR)分析以及贝叶斯模型平均法(MR-BMA),以识别和确定克罗恩病(CD)和溃疡性结肠炎(UC)的因果血细胞特征并对其进行优先级排序。还进行了一项观察性研究,使用受限立方样条(RCS)来探索重要血细胞特征与IBD之间的关系。
我们使用随机效应逆方差加权(IVW)方法进行的单变量MR分析确定嗜酸性粒细胞(EOS)是UC的一个因果因素(OR = 1.36;95% CI:1.13,1.63)。我们的MR-BMA分析进一步确定,高水平淋巴细胞(LYM)可降低CD风险(MIP = 0.307;β = -0.059;PP = 0.189;β = -0.173),而高水平EOS会增加UC风险(MIP = 0.824;β = 0.198;PP = 0.627;β = 0.239)。此外,观察性研究清楚地描绘了重要血细胞特征与IBD风险之间的非线性关系。
采用MR方法,确定了几种血细胞特征为CD和UC的危险因素,可作为IBD管理的潜在靶点。由于血细胞特征与IBD之间存在非线性关系,如我们的临床观察性研究所证明的,基于特征浓度的分层全基因组关联研究(GWAS)将有所帮助。总之,这些发现可为CD和UC管理的临床策略提供启示。