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Development of Gene-Silencing Therapeutics for Pseudomonas aeruginosa

Development of Gene-Silencing Therapeutics for Pseudomonas aeruginosa
铜绿假单胞菌基因沉默疗法的开发
批准号:
10451560
负责人:
David Elihu Greenberg
金额:
$112.55万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-08-01 至 2025-07-31
关键词:
Anti-Bacterial AgentsAntibiotic ResistanceAntibioticsAntisense OligonucleotidesAutomobile DrivingBacteremiaBacterial InfectionsBiologicalCellsCenters for Disease Control and Prevention (U.S.)ClinicalClinical TrialsCollaborationsCollectionCystic FibrosisDevelopmentDoseDrug KineticsDrug resistanceDuchenne muscular dystrophyEffectivenessEnzyme-Linked Immunosorbent AssayEnzymesEssential GenesFDA approvedFormulationFrequenciesGene SilencingGene TargetingGenesGoalsImmunocompromised HostIn VitroInfectionInvestigationLeadLibrariesLifeLipid ALungLung infectionsMarketingMessenger RNAMethodsMinimum Inhibitory Concentration measurementModelingMorbidity - disease rateMulti-Drug ResistanceMusMutationNosocomial InfectionsOrganismPathogenicityPatientsPenetrationPeptidesPharmaceutical PreparationsPharmacologic SubstancePhasePhase I Clinical TrialsPneumoniaPositioning AttributePreclinical TestingProcessProductionProtein SubunitsProteinsPseudomonasPseudomonas aeruginosaPseudomonas aeruginosa infectionRegimenResearchResistanceResistance developmentRibosomesRiskRodentSafetySepsisSiteSpecificityTherapeuticTherapeutic AgentsTissuesToxic effectToxicologyTranscriptTranslational RepressionTranslationsanalytical methodantimicrobialantimicrobial drugchronic infectioncombatcomparison controlcystic fibrosis patientsdrug discoveryefficacy evaluationefficacy studyfatty acid biosynthesishealthcare-associated infectionsimprovedin vivoindexinginnovationinterestloss of functionmortalitymultidrug-resistant Pseudomonas aeruginosanovelnovel therapeuticspathogenpathogenic bacteriapharmacokinetics and pharmacodynamicsphosphorodiamidate morpholino oligomerpneumonia modelpre-clinicalpreclinical developmentpreventresistance frequencyresistant strainsafety studyscreeningsmall moleculesuccesstechnology platform

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PROJECT SUMMARY/ABSTRACT Gram-negative pathogens are becoming increasingly resistant to many antimicrobials. Furthermore, the pipeline for new antibiotics is small and new therapies are urgently needed. This can be especially problematic in patients who suffer from chronic infections or are immunocompromised. Multidrug-resistant Pseudomonas aeruginosa has been identified by the Centers for Disease Control and Prevention as a serious threat. P. aeruginosa causes healthcare associated infections in a variety of clinical settings and hosts, but is particularly devastating in patients with cystic fibrosis (CF). We have been interested in using antisense molecules called PPMOs as potential therapeutics in these infections. These molecules block messenger RNA and prevent the formation of the target protein. We have demonstrated that PPMOs can be used to target genes that are essential for Pseudomonas to grow, such as acpP, lpxC or rpsJ. We showed that blocking these proteins are essential for Pseudomonas to grow in vitro. We also showed that these PPMOs improve survival in mice that were infected with Pseudomonas. For this project, we propose to further characterize our lead PPMOs in a larger collection of Pseudomonas isolates, both antibiotic-sensitive and multidrug-resistant. In addition, efficacy studies will be performed in both models of pneumonia and bloodstream infection. This process will result in 2-4 PPMOs that will undergo further pre-clinical testing including toxicity, resistance, pharmacodynamic and pharmacokinetic studies. By the end of the proposed project, a lead PPMO will have undergone the needed pre-clinical testing for IND submission to the FDA. This innovative approach to developing novel antibiotics, particularly for P. aeruginosa, could help expand the increasingly shrinking classes of effective antibiotics that are used to treat these severe, life-threatening infections.
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Antibiotic Resistance Determination Utilizing Machine Learning
  • 批准号:
    10442982
  • 项目类别:
  • 资助金额:
    $45.92万
  • 财政年份:
    2022
  • 负责人:
    David Elihu Greenberg
  • 依托单位:
Antibiotic Resistance Determination Utilizing Machine Learning
  • 批准号:
    10663905
  • 项目类别:
  • 资助金额:
    $47.87万
  • 财政年份:
    2022
  • 负责人:
    David Elihu Greenberg
  • 依托单位:
Development of Gene-Silencing Therapeutics for Pseudomonas aeruginosa
  • 批准号:
    10203746
  • 项目类别:
  • 资助金额:
    $105.77万
  • 财政年份:
    2019
  • 负责人:
    David Elihu Greenberg
  • 依托单位:
Gene silencing therapeutics for chronic infections in cystic fibrosis
  • 批准号:
    8511030
  • 项目类别:
  • 资助金额:
    $24.83万
  • 财政年份:
    2013
  • 负责人:
    David Elihu Greenberg
  • 依托单位:
海外基金