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幽门螺杆菌感染与代谢综合征的因果关联:一项两样本孟德尔随机化研究的见解

Causal associations of Helicobacter pylori infection and metabolic syndrome: insights from a two-sample Mendelian randomization study.

作者信息

Wang Hongwei, Tian Fangying, Yang Caizheng, Cui Xinyu, Ding Yongxia, Zhao Ming, Wang Xueyu, Ge Shanshan

机构信息

Shanxi Medical University, Taiyuan, Shanxi, China.

Infection Management Department of the Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

出版信息

Diabetol Metab Syndr. 2024 Nov 26;16(1):284. doi: 10.1186/s13098-024-01519-1.

DOI:10.1186/s13098-024-01519-1
PMID:39587686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11590565/
Abstract

BACKGROUND

Helicobacter pylori (Hp) infection and metabolic syndrome (MetS) have a high prevalence of co-morbidities and both pose a significant threat to human health and survival. It has been suggested that Hp infection affects the development of MetS in the host, but the causal relationship between the two has not been confirmed.

METHODS

We conducted a two-sample Mendelian randomization study to investigate the causal effect of Hp infection with MetS and its components. Summary statistics for exposure factors (Hp infection) were obtained from the GWAS Catalog (anti-Hp IgG, n = 8,735; Hp VacA antibody levels, n = 1,571; Hp GroEL antibody levels, n = 2,716; Hp OMP antibody levels, n = 2,640). Summary statistics for outcome factors (MetS) were obtained from the most comprehensive genome-wide association study (GWAS) currently available (n = 291,107) as well as from the components of MetS: fasting glucose (n = 46,186), hypertension (n = 461,880), serum triglycerides (n = 115,082), waist circumference (n = 21,949), and high-density lipoprotein (n = 400, 754). The inverse-variance weighted (IVW) method was used as the primary MR method and the robustness of the results was assessed through sensitivity analyses.

RESULTS

MR analysis showed that anti-Hp IgG levels were positively correlated with waist circumference (β = 0.08, P = 0.012), and GroEL antibody levels showed an opposite correlation with HDL levels (β= -0.03, P = 0.025) and TG (β = 0.02, P = 0.045). In contrast, OMP antibodies levels were positively correlated with both HDL and FBG (β = 0.064, P = 0.037 and β = 0.09, P = 0.003). In the estimation of IVW as the main causal method, VacA antibody level was positively associated with hypertension level and negatively associated with TG (β = 0.02, P = 0.008 and β= -0.02, P = 0.007). Meanwhile, the results of sensitivity analyses showed no heterogeneity or significant level pleiotropy.

CONCLUSIONS

Our study suggests that there is a causal effect between Hp infection and Mets diagnosis and its composition, and further studies are needed to understand the mechanism of its influence.

摘要

背景

幽门螺杆菌(Hp)感染与代谢综合征(MetS)的合并症患病率很高,两者均对人类健康和生存构成重大威胁。有人提出,Hp感染会影响宿主中MetS的发展,但两者之间的因果关系尚未得到证实。

方法

我们进行了一项两样本孟德尔随机化研究,以调查Hp感染与MetS及其组成成分之间的因果关系。暴露因素(Hp感染)的汇总统计数据来自GWAS目录(抗Hp IgG,n = 8735;Hp VacA抗体水平,n = 1571;Hp GroEL抗体水平,n = 2716;Hp OMP抗体水平,n = 2640)。结局因素(MetS)的汇总统计数据来自目前可用的最全面的全基因组关联研究(GWAS)(n = 291107)以及MetS的组成成分:空腹血糖(n = 46186)、高血压(n = 461880)、血清甘油三酯(n = 115082)、腰围(n = 21949)和高密度脂蛋白(n = 400754)。采用逆方差加权(IVW)方法作为主要的孟德尔随机化方法,并通过敏感性分析评估结果的稳健性。

结果

孟德尔随机化分析表明,抗Hp IgG水平与腰围呈正相关(β = 0.08,P = 0.012),GroEL抗体水平与高密度脂蛋白水平呈负相关(β = -0.03,P = 0.025),与甘油三酯呈正相关(β = 0.02,P = 0.045)。相比之下,OMP抗体水平与高密度脂蛋白和空腹血糖均呈正相关(β = 0.064,P = 0.037;β = 0.09,P = 0.003)。在以IVW作为主要因果方法的估计中,VacA抗体水平与高血压水平呈正相关,与甘油三酯呈负相关(β = 0.02,P = 0.008;β = -0.02,P = 0.007)。同时,敏感性分析结果显示无异质性或显著水平的多效性。

结论

我们的研究表明,Hp感染与MetS诊断及其组成成分之间存在因果关系,需要进一步研究以了解其影响机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/f1e7854c07d0/13098_2024_1519_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/6b8945584075/13098_2024_1519_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/080b4e017627/13098_2024_1519_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/627adc637c50/13098_2024_1519_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/f1e7854c07d0/13098_2024_1519_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/6b8945584075/13098_2024_1519_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/080b4e017627/13098_2024_1519_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/627adc637c50/13098_2024_1519_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aab/11590565/f1e7854c07d0/13098_2024_1519_Fig4_HTML.jpg

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