Quantifying renal injury among the most commonly used clinical antibiotic combinations

Information

  • Research Project
  • 10086057
  • ApplicationId
    10086057
  • Core Project Number
    R21AI149026
  • Full Project Number
    5R21AI149026-02
  • Serial Number
    149026
  • FOA Number
    PA-19-053
  • Sub Project Id
  • Project Start Date
    1/16/2020 - 4 years ago
  • Project End Date
    12/31/2021 - 3 years ago
  • Program Officer Name
    XU, ZUOYU
  • Budget Start Date
    1/1/2021 - 4 years ago
  • Budget End Date
    12/31/2021 - 3 years ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    12/28/2020 - 4 years ago
Organizations

Quantifying renal injury among the most commonly used clinical antibiotic combinations

Project Abstract: There is a fundamental need to improve pre-clinical models used to predict Acute Kidney Injury (AKI) in the setting of polypharmacy (such as with nephrotoxic antibiotics). Until a translational model is developed, risks can only be predicted individually and semi-quantitatively for groups. The long term goal is to improve the kidney safety profile for critically necessary antibiotic therapies. Vancomycin (V) and piperacillin- tazobactam (PT) are exemplars for study as they are the most commonly used antibiotics in the hospital setting and have been widely suggested in clinical literature to synergistically cause AKI. Despite the clinical data, bio- logic plausibility has not been established; it is unclear if elevated serum creatinine (SCr) is a real or a false positive finding for AKI. SCr is neither highly sensitive nor specific for AKI, PT shares transporters with creatinine that could affect clearance independent of AKI, and preliminary data from experimental models strongly suggests that PT does not worsen V induced AKI (and may be protective). The overall objective is to leverage rat models to quantify individual contributions of multiple drugs on AKI. The central hypothesis of this research is that SCr from clinical studies misclassifies AKI, and alternate models more appropriately define AKI. Rigor of prior re- search with urinary biomarkers suggests that non-creatinine biomarkers can improve predictions of AKI in the setting of polypharmacy. Thus, we will create a novel framework to assess AKI in a pre-clinical manner that has distinct advantages over the status quo by pursuing the following AIMs: 1. Define glomerular filtration rates (GFR) for V, PT, and V+PT in rats as calculated by A) serum creatinine clearance (GFRCRCL) and B) inulin (GFRinulin). 2. Create a Physiologic-Based Pharmacokinetic (PBPK) model that describes mass transit and clearance of V, PT, and V+PT between blood, kidneys, and urine AND quantify real-time PK/Toxicodynamic (TD) relationships for A) serum creatinine, B) urinary biomarkers, and C) terminal histopathology. 3. Develop a hu- manized-rat, PK/TD model for simultaneous administration of two nephrotoxins. The proposed studies will ac- complish 3 major goals. First, defining actual GFR in V, PT, and V+PT will provide mechanistic insight on the role of SCr in V+PT therapy. Second, the PBPK model further informs mechanism by understanding the indi- vidual components that increase SCr in V+PT. Finally, this project is innovative because there is not currently a humanized animal model that can separate the AKI contribution from each drug in the setting of polypharmacy. This model has potential benefits compared to allometrically scaled animal models (which result in high peak concentrations for animals) or cellular models (which use static and supraphysiological concentrations). This contribution will be significant because A) results from AIM 1 and 2 will clarify the toxicity profile for the two most commonly used antibiotics and B) successful development of our novel humanized model can vertically advance the field?s understanding of individual drug contribution to AKI in the setting of polypharmacy. This proposal directly addresses the NIH mission to create ?innovative research strategies? for ?improving health.?

IC Name
NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
  • Activity
    R21
  • Administering IC
    AI
  • Application Type
    5
  • Direct Cost Amount
    100000
  • Indirect Cost Amount
    50000
  • Total Cost
    150000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    855
  • Ed Inst. Type
    SCHOOLS OF PHARMACY
  • Funding ICs
    NIAID:150000\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    PBKD
  • Study Section Name
    Pathobiology of Kidney Disease Study Section
  • Organization Name
    MIDWESTERN UNIVERSITY
  • Organization Department
    ANATOMY/CELL BIOLOGY
  • Organization DUNS
    181778846
  • Organization City
    DOWNERS GROVE
  • Organization State
    IL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    605151235
  • Organization District
    UNITED STATES