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对各种胰腺炎类型的遗传学见解:免疫球蛋白 G N-糖基化变体对疾病风险的因果影响。

Genetic insights into across pancreatitis types: the causal influence of immunoglobulin G N-glycosylation variants on disease risk.

机构信息

West China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, Laboratory of Stem Cell Biology, State Key Laboratory, West China Hospital, Sichuan University, Chengdu, China.

Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

出版信息

Front Immunol. 2024 Mar 18;15:1326370. doi: 10.3389/fimmu.2024.1326370. eCollection 2024.

Abstract

BACKGROUND

While a few case-control studies indicated a possible correlation of IgG N-glycosylation patterns with pancreatitis, their restricted sample sizes and methodologies prevented conclusive insights into causality or distinguishing traits across pancreatitis types.

METHOD

We conducted a two-sample Mendelian Randomization (MR) analysis to investigate the causal relationship between 77 IgG N-glycosylation traits and various types of pancreatitis, including acute pancreatitis (AP), chronic pancreatitis (CP), alcohol acute pancreatitis (AAP), and alcohol chronic pancreatitis (ACP). This analysis utilized summary-level data from genome-wide association studies (GWAS), employing methods such as IVW, MR-Egger, and weighted median. To ensure the robustness of our findings, several sensitivity analyses, including Cochran's Q statistic, leave-one-out, MR-Egger intercept, and MR-PRESSO global test were conducted.

RESULT

Our study uncovered the causal relationship between specific IgG N-glycosylation traits and various types of pancreatitis. Notably, an increase in genetically predicted IGP7 levels was associated with a decreased risk of developing AP. For CP, our data suggested a protective effect associated with higher levels of both IGP7 and IGP31, contrasting with increased levels of IGP27 and IGP65, which were linked to a heightened risk. Moreover, in the case of AAP, elevated IGP31 levels were causatively associated with a lower incidence, while higher IGP26 levels correlated with an increased risk for ACP.

CONCLUSION

This study establishes causal relationship between specific IgG N-glycosylation patterns and varying risks of different pancreatitis forms, underscoring their potential as predictive biomarkers. These findings necessitate further exploration into the underlying mechanisms, promising to inform more personalized diagnostic and therapeutic strategies in pancreatitis management.

摘要

背景

虽然少数病例对照研究表明 IgG N-糖基化模式与胰腺炎之间可能存在相关性,但由于样本量有限且方法受限,无法得出关于因果关系或区分不同类型胰腺炎特征的结论。

方法

我们进行了两样本孟德尔随机化(MR)分析,以研究 77 种 IgG N-糖基化特征与各种类型胰腺炎(包括急性胰腺炎[AP]、慢性胰腺炎[CP]、酒精性急性胰腺炎[AAP]和酒精性慢性胰腺炎[ACP])之间的因果关系。该分析利用了全基因组关联研究(GWAS)的汇总水平数据,采用了 IVW、MR-Egger 和加权中位数等方法。为了确保我们发现的稳健性,进行了几种敏感性分析,包括 Cochran's Q 统计量、逐一剔除、MR-Egger 截距和 MR-PRESSO 全局检验。

结果

我们的研究揭示了特定 IgG N-糖基化特征与各种类型胰腺炎之间的因果关系。值得注意的是,遗传预测的 IGP7 水平升高与 AP 发病风险降低相关。对于 CP,我们的数据表明,IGP7 和 IGP31 水平升高与保护作用相关,而 IGP27 和 IGP65 水平升高与风险增加相关。此外,在 AAP 的情况下,IGP31 水平升高与发病率降低有关,而 IGP26 水平升高与 ACP 的风险增加有关。

结论

本研究建立了特定 IgG N-糖基化模式与不同胰腺炎形式的风险之间的因果关系,强调了它们作为预测生物标志物的潜力。这些发现需要进一步探讨潜在机制,有望为胰腺炎管理中的个性化诊断和治疗策略提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7848/10986635/fd52b411ce51/fimmu-15-1326370-g001.jpg

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