grant

Precise Combination Strategies Targeting Carbapenem-Resistant Klebsiella pneumoniae

Organization UNIVERSITY OF ILLINOIS AT CHICAGOLocation Chicago, UNITED STATESPosted 5 Dec 2022Deadline 30 Nov 2027
NIHUS FederalResearch GrantFY2026AlgorithmsAminoglycoside resistanceAminoglycoside resistantAminoglycosidesAntibiotic AgentsAntibiotic DrugsAntibiotic TherapyAntibiotic TreatmentAntibioticsAssayBacteria resistanceBacteria resistantBacterial resistantBioassayBiological AssayBlood CirculationBloodstreamCategoriesCeftazidimeClassificationClinicalClinical ResearchClinical StudyClinical TreatmentClinical TrialsCombined Modality TherapyDataData SetDeath RateDevelopmentDoseEnzyme GeneEnzymesFailureFiberFoundationsFutureG24 proteinGoalsHumanImipemideImipenemIn VitroInfectionLifeMedicineMeropenemMiceMice MammalsMiscellaneous AntibioticModelingModern ManMolecularMultimodal TherapyMultimodal TreatmentMurineMusN-FormimidoylthienamycinNephrotoxicOutcomePenetrationPharmacodynamicsPharmacologyPredispositionProtein BiosynthesisPublic HealthPulmonary Body SystemPulmonary Organ SystemRegimenResistanceResistance developmentResistant developmentRespiratory SystemRespiratory TractsRespiratory tract structureRibosomal Peptide BiosynthesisRibosomal Protein BiosynthesisRibosomal Protein SynthesisRoleSiteSuperbugSusceptibilitySystemSystematicsTherapeuticTimeTranslatingTranslationsTreatment FailureTreatment PeriodTreatment ProtocolsTreatment RegimenTreatment ScheduleUrinary tractValidationWorld Health Organizationbacterial disease treatmentbacterial infectious disease treatmentbacterial resistancebeta lactam antibioticbeta lactam hydrolasebeta-Lactamasebeta-Lactamhydrolasebeta-Lactamscarbapenem resistancecarbapenem resistantclinical interventionclinical relevanceclinical therapyclinically relevantcombatcombination therapycombined modality treatmentcombined treatmentcomputer based predictiondata modelingdesigndesigningdeveloping resistancedevelopmentaldosagegene signaturesgenetic signatureglobal healthimprovedin vivoinhibitorinnovateinnovationinnovativeinsightkidney toxicitymodel of datamodel the datamodeling of the datamortality ratemouse modelmulti-modal therapymulti-modal treatmentmurine modelnephrotoxicitynovelpathogenpneumonia modelpneumonia modelspredictive modelingprospectiveprotein synthesisreceptor bindingreceptor boundresistance against aminoglycosideresistance against carbapenemsresistance generesistance in K pneumoniaeresistance in K. pneumoniaeresistance in Klebsiella pneumoniaeresistance locusresistance mechanismresistance to Bacteriaresistance to Bacterialresistance to aminoglycosideresistance to carbapenemresistantresistant K pneumoniaeresistant K. pneumoniaeresistant Klebsiella pneumoniaeresistant generesistant mechanismresistant to Bacteriaresistant to Bacterialresistant to aminoglycosideresistant to carbapenemsocial rolesynergismtherapy failuretranslationtreatment daystreatment durationtrial regimentrial treatmentvalidationsβ lactam antibioticβ-Lactamaseβ-Lactams
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Full Description

PROJECT SUMMARY/ABSTRACT: Carbapenem-resistant Klebsiella pneumoniae (CR-Kp) cause life-
threatening infections that are associated with unacceptably high mortality rates. CR-Kp is particularly

challenging to treat since it often possesses a myriad of molecular resistance determinants that enable it to grow

in the presence of most antibiotics. New β-lactam/β-lactamase inhibitors (BL/BLI), such as ceftazidime-

avibactam, are not a sustainable therapeutic solution for CR-Kp as monotherapy since there is potential for

development of resistance and clinical failure rates remain remarkably high when used alone. Up to 95% of CR-

Kp still remain susceptible to at least one of the aminoglycosides (AMG). However, nearly all CR-Kp isolates

harbor at least one of the aminoglycoside-modifying enzymes (AME), which inactivate a subset of the AMGs.

Thus, selecting an AMG that is tailored to the AMEs and other AMG-resistance determinants (strain-specific

AMG) is innovative and provides the foundation for this application, which is focused on development of

molecularly precise AMG-based combinations for CR-Kp. Our central hypothesis is that novel combination

regimens including short-courses of an optimally dosed, strain-specific AMG and a BL/BLI can maximize killing

and resistance suppression of CR-Kp. Our promising preliminary data are highly supportive of our innovative

and mechanistic approach. We developed a preliminary model to predict the strain-specific AMG based on an

isolate’s AMG-resistance genes. We generated the first data for the combination of the strain-specific AMG with

a BL/BLI (ceftazidime-avibactam, meropenem-vaborbactam, and imipenem-relebactam) against CR-Kp in both

the hollow fiber infection model (HFIM) and the mouse pneumonia model, where the combination was highly

synergistic. We have also developed a novel assay to quantify intracellular AMG concentrations. Leveraging our

latest assays, we will elucidate the mechanisms responsible for synergy of the combination between a strain-

specific AMG and BL/BLI in CR-Kp to rationally optimize them for future clinical trials. In Aim 1, the precise

influence of each AMG-resistance determinant on AMG activity will be defined and novel predictors of AMG-

resistance will be elucidated. In Aim 2, we will design novel short-course AMG treatment regimens that are

efficacious. We will define the time-course of AMG-tolerance and resistance emergence using systems

pharmacology and protein synthesis assays. In Aim 3, we will rationally optimize AMG and BL/BLI combinations

by identifying mechanisms of synergy and assessing antibiotic target site concentrations. The HFIM will be used

to define the pharmacodynamics of combinations and determine optimal timing of antibiotic administration. In

Aim 4, we will develop quantitative and systems pharmacology (QSP) models that integrate our mechanistic

data and rationally optimize AMG-based combination dosing strategies based on AMG-resistance determinants

in CR-Kp. QSP-optimized combinations will be prospectively validated in mouse pneumonia models. This project

will develop novel, molecularly precise AMG-based combinations to combat the urgent threat of CR-Kp.

Grant Number: 5R01AI173064-04
NIH Institute/Center: NIH

Principal Investigator: Zackery Bulman

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