Comprehensive analyses of endogenous retroviruses with severe chronic fatigue syndrome

内源性逆转录病毒与严重慢性疲劳综合征的综合分析

• 批准号: 10342264
• 负责人: Dawei Li
• 金额: $ 7.38万
• 依托单位: FLORIDA ATLANTIC UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-05 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10342264
• 关键词: Comprehensive; analyses; endogenous; retroviruses; severe

Project Summary/Abstract Myalgic encephalomyelitis/chronic fatigue syndrome (referred to as CFS) is a debilitating disease characterized by unrelenting fatigue, post-exertional malaise, cognitive impairment, sleep problems, and pain. CFS disables 1-2.5 million Americans, and costs $17–24 billion annually. Clinical tests of CFS patients are typically normal. There are currently no molecular biomarkers or FDA-approved treatments. The cause of CFS is unknown. Recent data from ourselves and others show that CFS is a complex and misunderstood disease. This proposal is aimed at helping to understand the role of endogenous retrovirus (ERV) variations in the genetic predisposition for CFS. We propose a novel CFS model: polymorphic ERV insertions can be activated through demethylation, infectious agents, or both, and the resembled viral RNA triggers the inflammation pathway, ultimately leading to CFS. The co-contribution of genome-wide ERV variations and their activators is an unexplored research frontier and an important area for research in CFS. Here, we will focus on analyzing existing CFS genome, methylome, transcriptome, and microbiome data to identify ERV variations associated with CFS. Verifying ERV as a risk factor in CFS will aid in adoption of an antiviral or anti-inflammatory treatment or anti-inflammatory lifestyle. If ERV activators, such as demethylation or infectious agent triggers, are also found, research on this will eventually lead to new therapeutic intervention and prevention.

项目总结/文摘

项目成果

Sequencing facility and DNA source associated patterns of virus-mappable reads in whole-genome sequencing data.

在全基因组测序数据中，测序设施和DNA源相关的病毒式读取。

• DOI: 10.1016/j.ygeno.2020.12.004
• 发表时间: 2021-01
• 期刊: Genomics
• 影响因子: 4.4
• 作者: Chen X;Li D
• 通讯作者: Li D