Monday, November 10, 2014

NIH Grant opportunity - Innovative Technologies for Differential Diagnosis of Acute Febrile Illnesses (R21/R33)

NIH has published a call for applications for a new R21/R33 grant titled Innovative Technologies for Differential Diagnosis of Acute Febrile Illnesses (RFA-AI-14-062). For full RFA click here

The purpose of this Funding Opportunity Announcement (FOA) is to solicit applications for early-stage translational research projects focused on the development of innovative, unbiased next generation, differential diagnostic technologies for acute febrile illnesses caused by infectious pathogens, excluding HIV.

Dates:
  • Letter of intent due date: January 2, 2015
  • Application due date: February 2, 2015
  • Earliest project start date: December 2015

Award budget:
Support for the R21 phase is limited to $275,000 in direct costs over the R21 two-year project period, with a maximum of $200,000 in direct costs allowed in any single year. The R33 award phase is limited to $300,000 in direct costs per year.

Research Objectives and Scope
This Funding Opportunity Announcement (FOA) will provide support for research projects to establish proof-of-concept for novel, rapid and innovative medical diagnostic technologies and/or early-stage product development activities. The primary goal of such a diagnostic is to initiate appropriate therapeutic treatment during the initial visit for patients presenting acute fever in any point-of-care setting.

Research objectives may include the initial development of a novel technology or adaptation of an emerging technology to detect pathogens associated with acute febrile illnesses. Detection of host factors that would provide a differential diagnosis of bacterial infection that may provide clinically actionable information may also be included. A principal objective of this FOA is the development of innovative and novel diagnostic technologies. The following research areas are of particular interest:

  • Technologies that analyze clinical samples more accurately and rapidly than current diagnostic platforms and have utility within, or provide improvements upon, current clinical care and treatment.
  • Technologies capable of measuring in vivo analytes.
  • Integrated sample-to-answer sequencing-based platforms.
  • Diagnostic platforms that simultaneously detect multiple biomarkers.

For this FOA, the proposed diagnostic must be incubation-independent (i.e. designed to detect pathogens without requiring culture-bottle and/or streak plate incubations). Assays that can distinguish simultaneously between classes of pathogens (e.g. bacterial versus viral) are encouraged. At the end of the project period, a successful project will have demonstrated proof of principle with the capability of the developed technology to detect targeted pathogens in relevant live animal infection models (for in vivo detection technologies) or human clinical samples.

For the purpose of this FOA, the following features are of greatest importance for a proposed diagnostic:
  • Rapid: a target diagnostic test time of <1 hour to final result, including time required for clinical sample processing (if appropriate).
  • Culture independent: the diagnostic should focus on direct detection of pathogens or other biomarkers from human clinical samples.
  • Sensitive: the sensitivity should be equivalent to or exceed that of FDA-cleared diagnostics for proposed agent(s) from the same sample type.
  • Specific: the specificity should be equivalent to or exceed that of FDA-cleared diagnostics for proposed agent(s) from the same sample type.
  • Easy to use: for example, an integrated, closed sample-to-answer system with automated data analyses and/or result presentation and with minimal operator training and expertise required.
  • Cost-effective: projected production and operating costs should be as inexpensive as possible.



For more details, and to read the full RFA, click here. If you are interested in applying for this grant opportunity, or have any questions, please get in touch with Paul, Tim, or Glad at the Office of Research Services.