Wang Kui, Qin Xianzheng, Ran Taojing, Pan Yundi, Hong Yu, Wang Jiawei, Zhang Xianda, Shen XiaoNan, Liu Chenxiao, Lu Xinchen, Chen Yifei, Bai Yaya, Zhang Yao, Zhou Chunhua, Zou Duowu
Department of Gastroenterology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Department of Gastroenterology, The Affiliated Hospital of Kunming University of Science and Technology, The First People's Hospital of Yunnan Province, Kunming, China.
Front Microbiol. 2023 Nov 23;14:1290202. doi: 10.3389/fmicb.2023.1290202. eCollection 2023.
A number of recent observational studies have indicated a correlation between the constitution of gut microbiota and the incidence of pancreatitis. Notwithstanding, observational studies are unreliable for inferring causality because of their susceptibility to confounding, bias, and reverse causality, the causal relationship between specific gut microbiota and pancreatitis is still unclear. Therefore, our study aimed to investigate the causal relationship between gut microbiota and four types of pancreatitis.
An investigative undertaking encompassing a genome-wide association study (GWAS) comprising 18,340 participants was undertaken with the aim of discerning genetic instrumental variables that exhibit associations with gut microbiota, The aggregated statistical data pertaining to acute pancreatitis (AP), alcohol-induced AP (AAP), chronic pancreatitis (CP), and alcohol-induced CP (ACP) were acquired from the FinnGen Consortium. The two-sample bidirectional Mendelian randomization (MR) approach was utilized. Utilizing the Inverse-Variance Weighted (IVW) technique as the cornerstone of our primary analysis. The Bonferroni analysis was used to correct for multiple testing, In addition, a number of sensitivity analysis methodologies, comprising the MR-Egger intercept test, the Cochran's Q test, MR polymorphism residual and outlier (MR-PRESSO) test, and the leave-one-out test, were performed to evaluate the robustness of our findings.
A total of 28 intestinal microflora were ascertained to exhibit significant associations with diverse outcomes of pancreatitis. Among them, (OR = 1.801, 95% CI: 1.288-2.519, = 0.008) has a strong causality with ACP after the Bonferroni-corrected test, in order to assess potential reverse causation effects, we used four types of pancreatitis as the exposure variable and scrutinized its impact on gut microbiota as the outcome variable, this analysis revealed associations between pancreatitis and 30 distinct types of gut microflora. The implementation of Cochran's Q test revealed a lack of substantial heterogeneity among the various single nucleotide polymorphisms (SNP).
Our first systematic Mendelian randomization analysis provides evidence that multiple gut microbiota taxa may be causally associated with four types of pancreatitis disease. This discovery may contribute significant biomarkers conducive to the preliminary, non-invasive identification of Pancreatitis. Additionally, it could present viable targets for potential therapeutic interventions in the disease's treatment.
近期多项观察性研究表明肠道微生物群的构成与胰腺炎的发病率之间存在关联。尽管如此,观察性研究由于易受混杂因素、偏差和反向因果关系的影响,在推断因果关系方面并不可靠,特定肠道微生物群与胰腺炎之间的因果关系仍不明确。因此,我们的研究旨在探讨肠道微生物群与四种类型胰腺炎之间的因果关系。
开展了一项涵盖18340名参与者的全基因组关联研究(GWAS)的调查工作,目的是识别与肠道微生物群相关的遗传工具变量。从芬兰基因联盟获取了与急性胰腺炎(AP)、酒精性急性胰腺炎(AAP)、慢性胰腺炎(CP)和酒精性慢性胰腺炎(ACP)相关的汇总统计数据。采用两样本双向孟德尔随机化(MR)方法。使用逆方差加权(IVW)技术作为我们主要分析的基石。采用Bonferroni分析校正多重检验。此外,还进行了多种敏感性分析方法,包括MR-Egger截距检验、 Cochr an's Q检验、MR多态性残差和异常值(MR-PRESSO)检验以及留一法检验,以评估我们研究结果的稳健性。
共确定28种肠道微生物群与胰腺炎的不同结局存在显著关联。其中,经Bonferroni校正检验后,(比值比=1.801,95%置信区间:1.288-2.519,P=0.008)与ACP有很强的因果关系。为了评估潜在的反向因果效应,我们将四种类型的胰腺炎作为暴露变量,并考察其对作为结局变量的肠道微生物群的影响,该分析揭示了胰腺炎与30种不同类型的肠道微生物群之间的关联。 Cochr an's Q检验的实施表明,各种单核苷酸多态性(SNP)之间缺乏显著的异质性。
我们的首次系统性孟德尔随机化分析提供了证据,表明多种肠道微生物群分类群可能与四种类型的胰腺炎疾病存在因果关联。这一发现可能有助于找到有助于胰腺炎初步非侵入性识别的重要生物标志物。此外,它还可能为该疾病治疗中的潜在治疗干预提供可行的靶点。