Endogenous retrovirus analyses in myalgic encephalomyelitis

Information

  • Research Project
  • 10346195
  • ApplicationId
    10346195
  • Core Project Number
    R21AI159710
  • Full Project Number
    7R21AI159710-02
  • Serial Number
    159710
  • FOA Number
    PA-18-590
  • Sub Project Id
  • Project Start Date
    1/19/2021 - 3 years ago
  • Project End Date
    4/30/2023 - a year ago
  • Program Officer Name
    PARK, EUN-CHUNG
  • Budget Start Date
    5/1/2021 - 3 years ago
  • Budget End Date
    4/30/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    3/26/2021 - 3 years ago

Endogenous retrovirus analyses in myalgic encephalomyelitis

Project Summary/Abstract Myalgic encephalomyelitis (ME) is a disabling and complex disease with 1-2.5 million patients in the United States. ME patients have low quality of life and one in four are bed- or house-bound. ME is under-studied and under-funded, and there are no existing diagnostic tests, FDA-approved treatments or cure for ME. The causes of ME are unknown. ME patients exhibit elevated immune responses and enhanced inflammation. Endogenous retroviruses (ERVs) result from the fixation of ancient retroviral infections and integrations into the human genome. ERVs (n?400,000) typically remain silenced; however, some ERVs can be transcriptionally reactivated. Activated ERVs resemble viral RNA and can therefore trigger immune responses and chronic inflammation, potentially leading to ME. Together with our collaborators, we have collected the largest deep sequencing data sets with deep phenotypes from ME patients. We recently developed a set of bioinformatics tools that allow us to genotype genome-wide individual ERVs and quantify individual ERV expression with high accuracy. With this R21 application, we propose to use these state-of-the-art tools to analyze existing and new deep sequencing data to address two Specific Aims. Aim 1: Identify distinct ERVs whose expression is associated with ME using RNA-Sequencing data. These analyses will, for the first time, quantify transcriptome- wide expressed ERVs individually; and allow for identification of activated distinct ERVs and ERV genes associated with ME. Aim 2: Identify ERV variants whose genotypes are associated with ME using whole- genome sequencing data. These analyses will produce genome-wide distinct ERV genotypes, and, for the first time, allow for identification of ME-associated individual ERVs and related genes. Upon completion of these two Aims, we will know whether ERVs and ME are linked at the transcriptomic and/or genomic level. Elucidating ERVs as risk factors in ME may lead to breakthroughs in ME treatment, such as repurposing existing FDA-approved anti-retroviral drugs which may reverse ERV effects.

IC Name
NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
  • Activity
    R21
  • Administering IC
    AI
  • Application Type
    7
  • Direct Cost Amount
    166479
  • Indirect Cost Amount
    74341
  • Total Cost
    240820
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    855
  • Ed Inst. Type
    SCHOOLS OF MEDICINE
  • Funding ICs
    NIAID:240820\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    FLORIDA ATLANTIC UNIVERSITY
  • Organization Department
    OTHER BASIC SCIENCES
  • Organization DUNS
    004147534
  • Organization City
    BOCA RATON
  • Organization State
    FL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    334316424
  • Organization District
    UNITED STATES