Diagnostic Test for Detecting Recent Seizures in Epilepsy Patients

Information

  • Research Project
  • 9679579
  • ApplicationId
    9679579
  • Core Project Number
    R43NS110275
  • Full Project Number
    1R43NS110275-01
  • Serial Number
    110275
  • FOA Number
    PA-18-574
  • Sub Project Id
  • Project Start Date
    4/1/2019 - 5 years ago
  • Project End Date
    3/31/2020 - 4 years ago
  • Program Officer Name
    FERTIG, STEPHANIE
  • Budget Start Date
    4/1/2019 - 5 years ago
  • Budget End Date
    3/31/2020 - 4 years ago
  • Fiscal Year
    2019
  • Support Year
    01
  • Suffix
  • Award Notice Date
    4/1/2019 - 5 years ago
Organizations

Diagnostic Test for Detecting Recent Seizures in Epilepsy Patients

Project Summary/ Abstract Epilepsy affects approximately 1% of the world population, totaling >50 million patients. While anti-epileptic drug (AED) treatment is successful in many patients, 40-70% of patients continue to experience seizures causing physicians to adjust/change medications or other treatment parameters. Current diagnostic tools are incapable of differentiating between patients experiencing a recent seizure and those who are either seizure free or experiencing non-seizure events. Complicating matters, patients frequently under-report seizures in self-reported seizure diaries. To aid physicians in assessing the current state of seizure control in epilepsy patients, Evogen is developing a diagnostic test to distinguish epilepsy patients who have recently experienced a seizure from those who have not. Towards developing this test, Evogen has identified and patented a unique combination of 5 proteins that stratify actively seizing patients from those who have not experienced a recent seizure. To confirm the previous results, Evogen will first measure the plasma levels of 5 target proteins in powered cohorts of patients using validated ELISA run on the Meso Scale Discovery platform. Mean protein concentration will be calculated and cohorts compared to determine if significant differences exist. Subsequently, we will combine the 5 target protein levels into a diagnostic algorithm, toward the goal of achieving a diagnostic output of a single ?seizure probability score.? We recognize that ideal diagnostic results are concise and simple (ideally just one number or a yes/no) so a physician can quickly interpret and appropriately act. Both descriptive statistic results and algorithm performance will be used to determine the success of this effort. The test will have a profound impact on diagnosis and treatment of epilepsy. Future applications to support patient care throughout the life of the patient include identifying initial seizures and identifying potential refractory patients. Also, the test will serve to bolster drug development and clinical trial success by ensuring the right types of patients are enrolled and provide an objective clinical endpoint.

IC Name
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
  • Activity
    R43
  • Administering IC
    NS
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    224515
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    853
  • Ed Inst. Type
  • Funding ICs
    NINDS:224515\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    EVOGEN, INC.
  • Organization Department
  • Organization DUNS
    111782285
  • Organization City
    OVERLAND PARK
  • Organization State
    KS
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    662101442
  • Organization District
    UNITED STATES