Core 2 Mechanistic Assay Core

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 1P01AI179409-01

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Key facts

  • Disease

    Bacterial infection caused by Klebsiella pneumonia
  • Start & end year

    2024
    2029
  • Known Financial Commitments (USD)

    $555,021
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Yinzhi Lang
  • Research Location

    United States of America
  • Lead Research Institution

    UNIVERSITY OF FLORIDA
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Project Summary/Abstract: Mechanistic Assay Core #2 Carbapenem-resistant Acinetobacter baumannii (CRAB) and Klebsiella pneumoniae (CRKP) were categorized in the highest threat category ('Urgent') according to the U.S. CDC in 2019. While β-lactam antibiotics (BL) have been used for decades to successfully treat infections by susceptible isolates of AB and KP, resistant isolates often produce several different types of β-lactamases that can inactivate virtually every BL in monotherapy. Moreover, efflux pumps and loss of outer membrane porin channels present additional clinically relevant resistance mechanisms. In 2017, NIAID set forth the Gram-negative toolbox development program (RFA-AI-16- 081) to create novel approaches that generate mechanistic insights to combat these bacterial 'superbugs'. Our established team collectively developed a novel mechanistic assay platform as our Gram-negative toolbox (under R01 AI136803). These assays underpin the present P01. The Mechanistic Assay Core (#2) will provide the mechanistic foundation to rationally optimize clinically relevant combination dosage regimens of available and new antibiotics. This core will mutually integrate all Projects and all Cores, and will provide the latest assays for outer membrane permeability of BL and β-lactamase in inhibitors (BLI). Moreover, it will provide the latest assays for studying the intracellular drug accumulation and washout kinetics of non-PBP-binding partner antibiotics and for quantifying intracellular energy metabolite concentrations (e.g. ATP). The latter will be particularly relevant for mechanistic studies to characterize non-replicating persisters (NRP), along with automated confocal microscopy and flow cytometry (with sorting) of bacterial strains labelled with fluorescent protein(s) to determine the rate of protein synthesis. Flow cytometry (with and without sorting) and confocal microscopy will be used to efficiently identify PBP occupancy patterns that yield extensive morphology changes for combinations of BL, BLI, and non-β-lactam-PBP-binders in Project #1. This approach has proven highly beneficial in R01 AI136803. Moreover, the latest proteomic assays will provide important insights into the expression of proteins involved in antibiotic action (e.g. PBP) and resistance (e.g. β-lactamases, efflux pumps and outer membrane porin channels). These resistance mechanism studies will be further enhanced by whole- genome sequencing and other molecular techniques, which are particularly relevant for evaluating the ability of optimized dosage regimens to suppress resistance in Projects #2 and #3. For the latter projects, this Core will provide extracellular drug concentration determinations for the in vitro hollow fiber and mouse studies. Taken together, the Mechanistic Assay Core will provide novel mechanistic insights to support rational optimization of combination dosage regimens in Project #1, and to prospectively validate the synergistic bacterial killing and resistance suppression of these dosage regimens in Projects #2 & #3. Facilitated by the Administrative Core #1, these mechanistic data will be analyzed by the Mathematical Modeling Core #3 to optimally benefit all Projects.