The current era of multi-drug resistance is having dramatic impacts on human health, public health and the practice of clinical medicine. Improved technology is needed to provide prompt and accurate information to treating clinicians for best patient management. The overarching goal on this project is to develop, validate and translate a rapid detection and expression array, for the clinical laboratory setting, to comprehensively characterize antibiotic resistance in important pathogens (Pseudomonas aeruginosa, Klebsiella pneumonia, Acinetobacter baumannii, Staphylococcus aureus, and Streptococcus pneumoniae) in clinical samples. Such a system would assist decision-making with respect to antibiotic use, help slow the onset of additional resistance, and improve disease surveillance. This array will provide pathogen detection, markers for presence and expression of antibiotic resistance genes/mutations and, where applicable and pertinent, strain-typing information that can also be used for diagnostic and in-hospital surveillance. The logical flow of the research plan will include capturing all current knowledge on antibiotic resistance characteristics for target pathogens;conducting additional analyses to further knowledge on species signatures and antibiotic resistance characteristics;developing novel PCR assays for these targets;validating developed assays, both individually and together on the high-density format array (using large strain and clinical sample repositories);developing the bioinformatic tools necessary to easily read and interpret array findings;and finally transferring developed technology to a clinical laboratory for evaluation. The project team has expertise from translational research, genomic analysis, clinical-based research, molecular epidemiology, public health and medical biotechnology development. Previously established collaborations among the team members will allow for immediate implementation of the proposed activities and early impacts on this grave threat. Clinical medicine and public health are facing the growing crisis of multi-drug resistance in common pathogens. More informative and rapid diagnostics are urgently needed to provide clinicians and public health officials the information necessary to appropriately respond to these infections. This project will develop, validate and translate a rapid high-density antibiotic-resistance detection system for five high-priority multi-drug resistant pathogens;such a system would assist decision-making with respect to antibiotic use, help slow the onset of additional resistance, and improve disease surveillance.

Public Health Relevance

Clinical medicine and public health are facing the growing crisis of multi-drug resistance in common pathogens. More informative and rapid diagnostics are urgently needed to provide clinicians and public health officials the information necessary to appropriately respond to these infections. This project will develop, validate and translate a rapid high-density antibiotic-resistance detection system for five high-priority multi-drug resistant pathogens;such a system would assist decision-making with respect to antibiotic use, help slow the onset of additional resistance, and improve disease surveillance.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI090782-05
Application #
8661107
Study Section
Special Emphasis Panel (ZAI1-LR-M (M2))
Program Officer
Taylor, Christopher E,
Project Start
2010-06-15
Project End
2015-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
5
Fiscal Year
2014
Total Cost
$868,077
Indirect Cost
$358,285
Name
Translational Genomics Research Institute
Department
Type
DUNS #
118069611
City
Phoenix
State
AZ
Country
United States
Zip Code
85004
Bowers, Jolene R; Driebe, Elizabeth M; Albrecht, Valerie et al. (2018) Improved Subtyping of Staphylococcus aureus Clonal Complex 8 Strains Based on Whole-Genome Phylogenetic Analysis. mSphere 3:
Bowers, Jolene R; Lemmer, Darrin; Sahl, Jason W et al. (2016) KlebSeq, a Diagnostic Tool for Surveillance, Detection, and Monitoring of Klebsiella pneumoniae. J Clin Microbiol 54:2582-96
Driebe, Elizabeth M; Sahl, Jason W; Roe, Chandler et al. (2015) Using Whole Genome Analysis to Examine Recombination across Diverse Sequence Types of Staphylococcus aureus. PLoS One 10:e0130955
Struve, Carsten; Roe, Chandler C; Stegger, Marc et al. (2015) Mapping the Evolution of Hypervirulent Klebsiella pneumoniae. MBio 6:e00630
Bowers, Jolene R; Kitchel, Brandon; Driebe, Elizabeth M et al. (2015) Genomic Analysis of the Emergence and Rapid Global Dissemination of the Clonal Group 258 Klebsiella pneumoniae Pandemic. PLoS One 10:e0133727
Engelthaler, David M; Kelley, Erin; Driebe, Elizabeth M et al. (2013) Rapid and robust phylotyping of spa t003, a dominant MRSA clone in Luxembourg and other European countries. BMC Infect Dis 13:339
Stegger, Marc; Driebe, Elizabeth M; Roe, Chandler et al. (2013) Genome Sequence of Staphylococcus aureus Strain CA-347, a USA600 Methicillin-Resistant Isolate. Genome Announc 1:
Sahl, Jason W; Gillece, John D; Schupp, James M et al. (2013) Evolution of a pathogen: a comparative genomics analysis identifies a genetic pathway to pathogenesis in Acinetobacter. PLoS One 8:e54287
Bowers, Jolene R; Driebe, Elizabeth M; Nibecker, Jennifer L et al. (2012) Dominance of multidrug resistant CC271 clones in macrolide-resistant streptococcus pneumoniae in Arizona. BMC Microbiol 12:12