Patents by Inventor Michael M. Abecassis

Michael M. Abecassis 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).

  • Publication number: 20250051846
    Abstract: This disclosure provides methods of detecting sub-acute rejection and other categories of rejection in kidney transplant recipients using unique sets of gene expression markers.
    Type: Application
    Filed: August 16, 2024
    Publication date: February 13, 2025
    Inventors: Sunil M. Kurian, Michael M. Abecassis, John J. Friedewald
  • Patent number: 12209283
    Abstract: This disclosure provides methods of detecting sub-acute rejection and other categories of rejection in kidney transplant recipients using unique sets of gene expression markers.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: January 28, 2025
    Assignees: THE SCRIPPS RESEARCH INSTITUTE, NORTHWESTERN UNIVERSITY
    Inventors: Sunil M. Kurian, Michael M. Abecassis, John J. Friedewald
  • Publication number: 20240410007
    Abstract: By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.
    Type: Application
    Filed: June 24, 2024
    Publication date: December 12, 2024
    Inventors: Daniel Salomon, John Friedewald, Sunil Kurian, Michael M. Abecassis, Steve Head, Phillip Todd Ordoukhanian
  • Patent number: 12060611
    Abstract: By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.
    Type: Grant
    Filed: September 12, 2019
    Date of Patent: August 13, 2024
    Assignees: THE SCRIPPS RESEARCH INSTITUTE, NORTHWESTERN UNIVERSITY
    Inventors: Daniel Salomon, John Friedewald, Sunil Kurian, Michael M. Abecassis, Steve Head, Phillip Ordoukhanian
  • Publication number: 20240218447
    Abstract: Described herein are methods, compositions, and systems useful for detecting transplant rejection and associated abnormal conditions in liver transplant recipients involving an assessment of donor-derived cell-free nucleic acids (dd-cfNA) such as donor-derived cell-free DNA (dd-cfDNA).
    Type: Application
    Filed: March 15, 2024
    Publication date: July 4, 2024
    Applicants: Transplant Genomics, Inc., Northwestern University
    Inventors: Josh Levitsky, Juston Weems, Mikaela Miller, Steve Kleiboeker, Rohita Sinha, Michael M. Abecassis
  • Publication number: 20240191301
    Abstract: Described herein are methods, compositions, and systems useful for detecting transplant rejection and associated abnormal conditions in solid organ transplant recipients, such as kidney transplant recipients. Methods described herein may involve combined assessment of blood gene expression profiles from an assessment of particular, related mRNA transcript levels and donor-derived cell-free nucleic acids (dd-cfDNA).
    Type: Application
    Filed: January 26, 2024
    Publication date: June 13, 2024
    Applicants: Northwestern University, Transplant Genomics, Inc., The Scripps Research Institute
    Inventors: John Friedewald, Michael M. Abecassis, Rohita Sinha, Sook Hyeon Park, Lihui Zhao, Juston Weems, Sunil M. Kurian, Steve Kleiboeker
  • Publication number: 20220290238
    Abstract: The present disclosure is directed to materials and methods for predicting and diagnosing acute rejection in liver transplant recipients. Methods of the disclosure are useful, in various embodiments, for adjusting or initiating therapies (e.g., immunosuppressive (IS) therapy) in patients who would benefit therefrom.
    Type: Application
    Filed: August 21, 2020
    Publication date: September 15, 2022
    Inventors: Michael M. Abecassis, Josh Levitsky
  • Publication number: 20220178950
    Abstract: Disclosed are methods for predicting, inhibiting, and treating chronic kidney disease (CKD) in a subject that that is preparing to undergo a liver transplant. The methods may include detecting a protein biomarker in a serum sample from the subject prior to the subject being administered a liver transplant procedure and/or after the subject has been administered the liver transplant procedure. Suitable protein markers for the disclosed methods may include but are not limited to osteopontin (OPN) and/or tissue inhibitor of metalloproteases 1 (TIMP1).
    Type: Application
    Filed: February 25, 2022
    Publication date: June 9, 2022
    Inventors: Josh Levitsky, Michael M. Abecassis
  • Publication number: 20210230697
    Abstract: This disclosure provides methods of detecting sub-acute rejection and other categories of rejection in kidney transplant recipients using unique sets of gene expression markers.
    Type: Application
    Filed: May 10, 2019
    Publication date: July 29, 2021
    Inventors: Sunil M. Kurian, Michael M. Abecassis, John J. Friedewald
  • Publication number: 20200407791
    Abstract: By a genome-wide gene analysis of expression profiles of known or putative gene sequences in kidney biopsy samples, the present inventors have identified a consensus set of gene expression-based molecular biomarkers for distinguishing kidney transplantation patients who have Acute Rejection (AR), Acute Dysfunction No Rejection (ADNR), Chronic Allograft Nephropathy (CAN), or Transplant Excellent/Normal (TX). These molecular biomarkers are useful for diagnosis, prognosis and monitoring of transplantation patients.
    Type: Application
    Filed: January 24, 2020
    Publication date: December 31, 2020
    Inventors: Daniel R. Salomon, Sunil Kurian, Michael M. Abecassis
  • Patent number: 10870888
    Abstract: Disclosed herein are methods of detecting, predicting or monitoring a status or outcome of a transplant in a transplant recipient.
    Type: Grant
    Filed: February 17, 2018
    Date of Patent: December 22, 2020
    Assignees: The Scripps Research Institute, Northwestern University
    Inventors: Daniel Salomon, Sunil M. Kurian, Steven Head, Michael M. Abecassis, John J. Friedewald, Josh Levitsky
  • Publication number: 20200208217
    Abstract: By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.
    Type: Application
    Filed: September 12, 2019
    Publication date: July 2, 2020
    Inventors: Daniel Salomon, John Friedewald, Sunil Kurian, Michael M. Abecassis, Steve Head, Phillip Ordoukhanian
  • Publication number: 20200116740
    Abstract: Disclosed are methods for predicting, inhibiting, and treating chronic kidney disease (CKD) in a subject that that is preparing to undergo a liver transplant. The methods may include detecting a protein biomarker in a serum sample from the subject prior to the subject being administered a liver transplant procedure and/or after the subject has been administered the liver transplant procedure. Suitable protein markers for the disclosed methods may include but are not limited to osteopontin (OPN) and/or tissue inhibitor of metalloproteases 1 (TIMP1).
    Type: Application
    Filed: October 11, 2019
    Publication date: April 16, 2020
    Inventors: Josh Levitsky, Michael M. Abecassis
  • Patent number: 10443100
    Abstract: By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.
    Type: Grant
    Filed: November 22, 2016
    Date of Patent: October 15, 2019
    Assignee: The Scripps Research Institute
    Inventors: Daniel R. Salomon, John Friedewald, Sunil Kurian, Michael M. Abecassis, Steve Head, Phillip Ordoukhanian
  • Publication number: 20170191128
    Abstract: By a genome-wide gene analysis of expression profiles of known or putative gene sequences in kidney biopsy samples, the present inventors have identified a consensus set of gene expression-based molecular biomarkers for distinguishing kidney transplantation patients who have Acute Rejection (AR), Acute Dysfunction No Rejection (ADNR), Chronic Allograft Nephropathy(CAN), or Transplant Excellent/Normal (TX). These molecular biomarkers are useful for diagnosis, prognosis and monitoring of transplantation patients.
    Type: Application
    Filed: May 22, 2015
    Publication date: July 6, 2017
    Inventors: Daniel R. Salomon, Sunil Kurian, Michael M. Abecassis
  • Publication number: 20170137885
    Abstract: By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.
    Type: Application
    Filed: November 22, 2016
    Publication date: May 18, 2017
    Inventors: Daniel R. Salomon, John Friedewald, Sunil Kurian, Michael M. Abecassis, Steven Head, Phillip Ordoukhanian
  • Publication number: 20150167085
    Abstract: Disclosed herein are methods of detecting, predicting or monitoring a status or outcome of a transplant in a transplant recipient.
    Type: Application
    Filed: September 9, 2014
    Publication date: June 18, 2015
    Inventors: Daniel R. Salomon, Sunil M. Kurian, Steven Head, Michael M. Abecassis, John J. Friedewald, Josh Levitsky