DNA methylation signatures of severe RSV infection in infants: evidence from non-invasive saliva samples

婴儿重症呼吸道合胞病毒感染的DNA甲基化特征:来自非侵入性唾液样本的证据

阅读:2

Abstract

BACKGROUND: Respiratory syncytial virus (RSV) poses significant morbidity and mortality risks in childhood, particularly for previously healthy infants admitted to hospitals lacking predisposing risk factors for severe disease. This study aimed to investigate the role of the host epigenome in RSV infection severity using non-invasive buccal swabs from sixteen hospitalized infants admitted to the hospital for RSV infection. Eight patients had severe symptoms, and eight had mild to moderate symptoms. For DNA methylation analyses, the Illumina EPIC BeadChip was used with DNA isolated from saliva samples. To evaluate the basal DNA methylation level of the identified biomarkers a cohort of healthy control children was used. Furthermore, DNA methylation levels of candidate genes were confirmed by pyrosequencing in both the discovery and validation cohorts of patients with mild to moderate symptoms. RESULTS: A panel of differentially methylated positions (DMPs) distinguishing severe from mild to moderate symptoms in infants was identified. DMPs were determined using a threshold of an adjusted P-value (false discovery rate, FDR) < 0.01 and an absolute difference in DNA methylation (delta beta) > 0.10. Differentially methylated regions (DMRs) were identified in the ZBTB38 (implicated in asthma and pulmonary disease) and the TRIM6-TRM34 gene region (associated with viral infections). The differential DNA methylation of these genes was validated in an independent replication cohort. A weighted correlation network analysis emphasized the pivotal role of a module with RAB11FIP5 as the hub gene, known for its critical function in regulating viral infections. CONCLUSIONS: Oral mucosa methylation may play a role in determining the severity of RSV disease in infants.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。