SBIR/STTR Research Award

Molecular Detection of Invasive Fungal Infections

Award identifier 521df09e6be7d26ea536ff1059f1c2d808d1b7ef27572165772cf1def82660e5Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$599,780

Program and phase

SBIR · Phase I

Award year

2012

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
IMMUNETICS, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PA11-096
Topic code
NIAID

Research abstract

DESCRIPTION (provided by applicant): The incidence of fungal infections and, in particular, Candida infections, the fourth most common nosocomial pathogen, has continued to increase over the past 20 years. This increase is due to the increasing numbers ofpatients subjected to severe immunosuppression as a result of transplant procedures, chemotherapy regimens, advances in medical and surgical therapies, and the increased use of invasive devices such as intravascular central lines. While the majority of invasive fungal disease (IFD) is caused by species of Candida and Aspergillus, other rare fungal pathogens have become more prevalent in recent decades and are associated with exceedingly high mortalities. Due to the slow turnaround time of current diagnosticmethods, proper treatment of IFD is often delayed, contributing to the high mortality rates associated with this disease. Microbiologic culture, the current diagnostic standard, requires, on average, 48-72 hours for completion, and fails to detect roughly50% of fungal species. As proper treatment of IFD calls for prompt and accurate diagnosis, an unmet need in the area of fungal diagnostics is a platform that can provide 1) early detection 2) sensitive results, 3) species level discrimination and 4) multiplex capability. Several molecular approaches have been developed to address this need but have failed to meet all these requirements. Our Reverse Line Blot (RLB) based assay uses PCR followed by hybridization with species specific probes, offering a solution to this unmet need by providing a sensitive and rapid (less than 8 hour) test for several fungal pathogens in a multiplex format. In this Phase I application we propose development of RLB based assays for the detection of 9 species of Candida, 5 species of Aspergillus, and several more rare species of IFD, including H. capsulatum, Fusarium spp, Zygomycetes, Cryptococcus spp, and Coccidioides spp. A major milestone of Phase I will be the development and validation of a multiplexed RLB-based, PCR assay for the detection of the majority of fungal pathogens implicated in IFD. We will validate our RLB assays in clinical blood and BAL samples obtained from several collaborators with expertise in mycology including Randall Hayden of St. Jude Medical Center, Peter Pappas of the University of Alabama, Luis Ostrosky of the University of Texas, David Snydman of Tufts University and Mary Brandt of the Centers for Disease Control. Our end product will be developed further in Phase II, where we will transition our opensystem to a closed system that performs the PCR and hybridization reactions in a dedicated instrument, designed and tested in collaboration with our engineering partner, Wi Engineering. This product offers a rapid, sensitive and multiplexed approach thatmeets the requirements of an ideal diagnostic platform for IFD. By significantly reducing time to detection, this innovative platform will lead to changes in the treatment of IFD, most notably, faster treatment with a targeted anti-fungal. PUBLICHEALTH RELEVANCE: Project Narrative The incidence of fungal infections, many of which are associated with high mortality, has continued to increase over the past 20 years. Current diagnostic methods are limited by turnaround time and low sensitivity. We propose development of a rapid, molecular test that will significantly improve the detection and treatment of invasive fungal disease.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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