对人类非传染性疾病致病因素的调查。

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Michael Lape, Daniel Schnell, Sreeja Parameswaran, Kevin Ernst, Shannon O'Connor, Nathan Salomonis, Lisa J Martin, Brett M Harnett, Leah C Kottyan, Matthew T Weirauch
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引用次数: 0

摘要

背景:病原体和人类疾病之间的许多关系已经确立。然而,只有一小部分涉及非传染性疾病。在这项研究中,我们试图利用大量新获得的电子健康记录数据来识别潜在的新型病原体-非传染性疾病关联,并找到支持已知关联的额外证据。方法:我们利用英国生物银行和TriNetX的数据,对20种病原体和426种疾病(主要是非传染性疾病)进行系统调查。为此,我们使用基于逻辑回归的统计方法评估疾病状态和感染史代理之间的关联。结果:我们的方法确定了206对在两个队列中复制的病原体-疾病对。我们复制了许多已建立的关系,包括幽门螺杆菌与几种胃肠疾病之间的关系,以及爱泼斯坦-巴尔病毒与多发性硬化症和狼疮之间的关系。总的来说,我们的方法确定了15种病原体和96种不同疾病相关的证据,包括目前有争议的人类巨细胞病毒(CMV)和溃疡性结肠炎(UC)之间的联系。我们通过两个正交分析验证了CMV-UC之间的联系,揭示了UC患者中CMV基因表达的增加,以及在CMV感染后表达改变的人类基因附近的UC遗传风险信号的富集。结论:总的来说,这些结果为未来研究病原体在非传染性疾病背后的过程中所起的机制作用奠定了基础。所有结果都可以在我们的网站https://tf.cchmc.org/pathogen-disease上轻松访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey of pathogenic involvement in non-communicable human diseases.

Background: Many relationships between pathogens and human disease are well-established. However, only a small fraction involve diseases considered non-communicable (NCDs). In this study, we sought to leverage the vast amount of newly available electronic health record data to identify potentially novel pathogen-NCD associations and find additional evidence supporting known associations.

Methods: We leverage data from The UK Biobank and TriNetX to perform a systematic survey across 20 pathogens and 426 diseases, primarily NCDs. To this end, we assess the association between disease status and infection history proxies using a logistic regression-based statistical approach.

Results: Our approach identifies 206 pathogen-disease pairs that replicate in both cohorts. We replicate many established relationships, including Helicobacter pylori, with several gastroenterological diseases and connections between Epstein-Barr virus and both multiple sclerosis and lupus. Overall, our approach identifies evidence of association for 15 pathogens and 96 distinct diseases, including a currently controversial link between human cytomegalovirus (CMV) and ulcerative colitis (UC). We validate the CMV-UC connection through two orthogonal analyses, revealing increased CMV gene expression in UC patients and enrichment for UC genetic risk signal near human genes that have altered expression upon CMV infection.

Conclusions: Collectively, these results form a foundation for future investigations into mechanistic roles played by pathogens in the processes underlying NCDs. All results are easily accessible on our website, https://tf.cchmc.org/pathogen-disease .

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