Patents by Inventor Lisa Strug

Lisa Strug has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11510907
    Abstract: Described herein is a genetic modifier of cystic fibrosis (CF), which may serve as a predictor of the efficacy of a CFTR-directed therapy. SNPs rs7512462 or rs2869027 in non-coding regions of SLC26A9 are shown to correlate with CF lung disease severity in patients having CFTR mutations that leave protein at the cell surface, e.g. gating mutations such as G551D. It is also shown that patient response to Ivacaftor correlates with SLC26A9 genotype. Given the biology of SLC26A9, risk alleles of SLC26A9 should correlate with reduced SLC26A9. SLC26A9 activity (marked by e.g. genotype or expression level) is therefore a predictor of treatment efficacy for any CFTR-directed therapeutic, such as Ivacaftor or Lumacaftor. Associated methods of selecting and treating patients are described, along with related kits, uses, and drug discovery platforms.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: November 29, 2022
    Assignees: The Hospital for Sick Children, The Governing Council of the University of Toronto
    Inventors: Johanna M. Rommens, Lisa Strug, Lei Sun
  • Publication number: 20200390750
    Abstract: Described herein is a genetic modifier of cystic fibrosis (CF), which may serve as a predictor of the efficacy of a CFTR-directed therapy. SNPs rs7512462 or rs2869027 in non-coding regions of SLC26A9 are shown to correlate with CF lung disease severity in patients having CFTR mutations that leave protein at the cell surface, e.g. gating mutations such as G551D. It is also shown that patient response to Ivacaftor correlates with SLC26A9 genotype. Given the biology of SLC26A9, risk alleles of SLC26A9 should correlate with reduced SLC26A9. SLC26A9 activity (marked by e.g. genotype or expression level) is therefore a predictor of treatment efficacy for any CFTR-directed therapeutic, such as Ivacaftor or Lumacaftor. Associated methods of selecting and treating patients are described, along with related kits, uses, and drug discovery platforms.
    Type: Application
    Filed: August 28, 2020
    Publication date: December 17, 2020
    Inventors: Johanna M. ROMMENS, Lisa STRUG, Lei SUN
  • Publication number: 20180250275
    Abstract: Described herein is a genetic modifier of cystic fibrosis (CF), which may serve as a predictor of the efficacy of a CFTR-directed therapy. SNPs rs7512462 or rs2869027 in non-coding regions of SLC26A9 are shown to correlate with CF lung disease severity in patients having CFTR mutations that leave protein at the cell surface, e.g. gating mutations such as G551D. It is also shown that patient response to Ivacaftor correlates with SLC26A9 genotype. Given the biology of SLC26A9, risk alleles of LC26A9 should correlate with reduced SLC26A9. SLC26A9 activity (marked by e.g. genotype or expression level) is therefore a predictor of treatment efficacy for any CFTR-directed therapeutic, such as Ivacaftor or Lumacaftor. Associated methods of selecting and treating patients are described, along with related kits, uses, and drug discovery platforms.
    Type: Application
    Filed: September 2, 2016
    Publication date: September 6, 2018
    Applicants: THE HOSPITAL FOR SICK CHILDREN, THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
    Inventors: Johanna M. ROMMENS, Lisa STRUG, Lei SUN
  • Publication number: 20130274132
    Abstract: Disclosed herein are compositions and methods for and treating Cystic Fibrosis lung disease severity and/or secondary manifestations, including meconium ileus and CF related liver disease.
    Type: Application
    Filed: September 30, 2011
    Publication date: October 17, 2013
    Applicants: Hospital for Sick Children, Case Western Reserve University, Univeristy of North Carolina at Chapet Hill, The Johns Hopkins University
    Inventors: Lisa Strug, Lei Sun, Johanna M. Rommens, Garry Cutting, Michael Knowles, Mitchell L. Drumm, Peter Durie