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Completed NON-SBIR/STTR RPGS NIH (US)

Development of the MasSpec Pen Technology for Rapid and Accurate Identification of Pediatric Infections

$1.95M USD

Funder EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Recipient Organization Baylor College of Medicine
Country United States
Start Date Sep 15, 2021
End Date Aug 31, 2024
Duration 1,081 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10489363
Grant Description

ABSTRACT: Osteoarticular infections (OAI) are prevalent medical conditions that disproportionately affect children,

which can lead to serious complications including loss of motor function and bone deformity. Rapid and accurate diagnosis

of OAI etiologic agents are critical to allow selection of specific and targeted treatment options and improve outcomes for

pediatric patients. Yet, in clinical practice, patients are often started on broad spectrum antibiotics pending pathogen

identification by culture or polymerase chain reaction, which can take several days for completion. In addition, the high

rates of culture-negative OAI and the increased prevalence of antibiotic resistant strains make therapeutic decisions uniquely

challenging for OAI. Meanwhile, unspecific therapy regimens with multiple antibiotics can lead to multiple short- and long- term adverse effects. Here, we propose to develop and test the MasSpec Pen (MSPen) technology as an innovative method for rapid and accurate identification of OAI directly from clinical specimens. We developed the MSPen as an easy-to-use

handheld device integrated to a high-performance mass spectrometer for rapid (<20 seconds) detection of rich metabolic profiles directly from biological samples. Now, we hypothesize that the MSPen can be developed as a powerful technology

for rapid, direct, and accurate identification of etiologic agents from OAI clinical samples, thus advancing treatment for

pediatric patients by allowing selection of specific and targeted therapy. Through a collaboration between Prof. Livia S. Eberlin (Department of Chemistry, The University of Texas at Austin), expert in mass spectrometry and developer of the MSPen technology, Dr. Sarmistha B. Hauger (Chief of Pediatric Infectious Disease, Dell Medical School) and Dr. Lindsey

Kirkpatrick (Infectious Disease Faculty, Indiana University School of Medicine), whose medical practices are dedicated to the treatment of pediatric infections, we propose to test our hypothesis by carrying out the following specific aims: Aim 1. Optimize the MSPen assay for molecular analysis of pediatric OAI clinical specimens and associated culture

isolates. The MSPen provides transformative molecular detection capabilities in the direct analysis of complex biological

samples along with operational features that are attractive for routine clinical use. We will refine the device and method to optimize its analytical performance for direct molecular analysis of OAI clinical specimens and corresponding culture isolates. Aim 2. Determine the diagnostic performance of the MSPen for pathogen identification in pediatric OAI

samples. The MSPen has the potential to provide molecular information to drive rapid and accurate therapeutic decision- making. We will analyze pediatric OAI samples prospectively collected for our study encompassing clinically-relevant

bacteria strains. Statistical classifiers will be developed to classify bacterial pathogens into taxonomical levels using clinical

microbiology results as gold-standard. Aim 3. Evaluate the capabilities of the MSPen for the identification of antibiotic

resistant bacterial strains. The increasing occurrence of antibiotic resistant bacteria in pediatric patients presenting OAI

reveals a critical need for accurate identification of antibiotic susceptibility. We will investigate the capability of the MSPen

in identifying antibiotic resistant and susceptible bacteria in clinical samples. Statistical classifiers will be developed to identify resistant or susceptible S. aureus, using clinical microbiology results as gold-standard.

All Grantees

Baylor College of Medicine

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