孟德尔随机分析显示,较高的全身水质量可能会增加细菌感染的风险。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Peng Yan, Jiahuizi Yao, Ben Ke, Xiangdong Fang
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引用次数: 0

摘要

背景和目的:水负荷与多种感染的关系仍不清楚。由于潜在的混杂因素,观察性研究很难进行明确的调查。在这项研究中,我们采用孟德尔随机分析法(MR)评估了基因预测的全身水分含量(BWM)与几种感染之间的关系:方法:我们利用 418 个与全身水质量相关的 SNP 预测了英国生物库中 331,315 名欧洲人的全身水质量水平。在结果方面,我们使用了英国生物库和芬兰基因联盟(FinnGen consortium)的全基因组关联数据,包括败血症、肺炎、肠道感染、尿路感染(UTI)以及皮肤和软组织感染(SSTI)。研究人员进行了反方差加权磁共振分析以及一系列敏感性分析:结果:BWM 基因预测与脓毒症(OR 1.34;95% CI 1.19 至 1.51;P = 1.57 × 10-6)、肺炎(OR:1.17;95% CI 1.08 至 1.29;P = 3.53 × 10- 4)、UTI(OR:1.26;95% CI 1.16 至 1.37;P = 6.29 × 10- 8)和 SSTI(OR:1.57;95% CI 1.25 至 1.96;P = 7.35 × 10- 5)。在败血症和肺炎亚组分析中,观察到 BWM 与细菌感染之间的关系,但与病毒感染无关。提示性证据表明,BWM 对病毒性肠道感染有影响(OR:0.86;95% CI 0.75 至 0.99;P = 0.03)。有有限证据表明,BWM 水平与妊娠期细菌性肠道感染和泌尿生殖道感染(GUI)有关。此外,磁共振分析支持 BWM 对几种水肿性疾病的风险。然而,多变量磁共振分析表明,当考虑到这些特质时,BWM 与败血症、肺炎、UTI 和 SSTIs 的相关性仍然不受影响:本研究系统地调查了体重指数与传染病之间的因果关系。有必要开展进一步的前瞻性研究来验证这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mendelian randomization analysis reveals higher whole body water mass may increase risk of bacterial infections.

Background and purpose: The association of water loading with several infections remains unclear. Observational studies are hard to investigate definitively due to potential confounders. In this study, we employed Mendelian randomization (MR) analysis to assess the association between genetically predicted whole body water mass (BWM) and several infections.

Methods: BWM levels were predicted among 331,315 Europeans in UK Biobank using 418 SNPs associated with BWM. For outcomes, we used genome-wide association data from the UK Biobank and FinnGen consortium, including sepsis, pneumonia, intestinal infections, urinary tract infections (UTIs) and skin and soft tissue infections (SSTIs). Inverse-variance weighted MR analyses as well as a series of sensitivity analyses were conducted.

Results: Genetic prediction of BWM is associated with an increased risk of sepsis (OR 1.34; 95% CI 1.19 to 1.51; P = 1.57 × 10- 6), pneumonia (OR: 1.17; 95% CI 1.08 to 1.29; P = 3.53 × 10- 4), UTIs (OR: 1.26; 95% CI 1.16 to 1.37; P = 6.29 × 10- 8), and SSTIs (OR: 1.57; 95% CI 1.25 to 1.96; P = 7.35 × 10- 5). In the sepsis and pneumonia subgroup analyses, the relationship between BWM and infection was observed in bacterial but not in viral infections. Suggestive evidence suggests that BWM has an effect on viral intestinal infections (OR: 0.86; 95% CI 0.75 to 0.99; P = 0.03). There is limited evidence of an association between BWM levels and bacteria intestinal infections, and genitourinary tract infection (GUI) in pregnancy. In addition, MR analyses supported the risk of BWM for several edematous diseases. However, multivariable MR analysis shows that the associations of BWM with sepsis, pneumonia, UTIs and SSTIs remains unaffected when accounting for these traits.

Conclusions: In this study, the causal relationship between BWM and infectious diseases was systematically investigated. Further prospective studies are necessary to validate these findings.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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