Patents by Inventor Rima F. Kaddurah-Daouk

Rima F. Kaddurah-Daouk 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: 20230375561
    Abstract: Described herein are methods for identifying mitochondrial defects using metabolomics and genetic analyses and using this information to stratify patients and to correct for metabolic defects in a precision medicine approach. One embodiment is a method for isolating and analyzing samples containing one or more mitochondrial biomarker metabolites or genetic markers useful for the analysis, identification, stratification or classification, and treatment of metabolic changes associated with a CNS or neuropsychiatric disease in a subject and therapies useful for the treatment thereof. In one aspect, the biomarker metabolites comprise mitochondrial metabolites including acylcarnitines and endocannabinoids and the genetic analyses focus on metabolic enzymes or transport mechanisms.
    Type: Application
    Filed: September 30, 2021
    Publication date: November 23, 2023
    Inventors: Rima F. Kaddurah-Daouk, Ranga Rama Krishnan, Matthias Arnold, Rebecca Baillie, Xianlin Han
  • Publication number: 20220257612
    Abstract: Described herein are methods for identifying or diagnosing Alzheimer's disease or poor cognition in a subject or population of subjects by analyzing biomarkers. In one aspect, the biomarkers comprise liver function enzymes or metabolites including alanine aminotransferase (ALT), aspartate aminotransferase (AST), ratio of ALT to AST, alkaline phosphatase, albumin, bilirubin, cholesterol and cholesterol metabolites, amino acids, phospholipids, bile acids, or other metabolites. In another aspect, the biomarkers comprise alanine aminotransferase (ALT), aspartate aminotransferase (AST), or the ratio of ALT to AST levels. In another aspect, the marker comprises the genotype of the ALT or AST enzymes.
    Type: Application
    Filed: July 24, 2020
    Publication date: August 18, 2022
    Inventors: Rima F. Kaddurah-Daouk, Siamak Mahmoudiandehkordi, Cornelia van Duijin, Shahzad Ahmad, Andrew J. Saykin, Kwangsik Nho, Rebecca Baillie, Xianlin Han
  • Publication number: 20220187315
    Abstract: Described herein are methods and composition for diagnosing and evaluating the treatment of depression using one or more biomarker metabolites for the diagnosis and monitoring treatment efficacy. In one aspect, the biomarker metabolites can be used to screen subjects for the likelihood of developing depression, the diagnosis thereof, monitoring the efficacy of treatment, and evaluating a subject's propensity for responding to treatment.
    Type: Application
    Filed: March 6, 2020
    Publication date: June 16, 2022
    Inventors: Rima F. Kaddurah-Daouk, Augustus John Rush, Jr., Siamak Mahmoudian Dehkordi, Sudeepa Bhattcharyya, Ranga R. Krishnan, Mark A. Frye, Ahmed T. Ahmed, Richard M. Weinshilboum, Boadie W. Dunlop, Wei Jia
  • Publication number: 20220178954
    Abstract: Described herein are methods for stratifying Alzheimer's disease among male and female subjects by analyzing biomarker metabolites. In one aspect, the biomarker metabolite comprises one or more of PC ae C44:4, PC ac C44:5, or PA ae C44:6; or PC ac C44:4, PC ac C44:5, PC aa C32:1, PC aa C32:0, or PC ae C42:4.
    Type: Application
    Filed: March 6, 2020
    Publication date: June 9, 2022
    Inventors: Gabi Kastenmüller, Rima F. Kaddurah-Daouk, Matthias Arnold
  • Publication number: 20210405074
    Abstract: Embodiments of the present disclosure relate generally to the analysis and identification of global metabolic changes in Alzheimer's disease (AD). More particularly, the present disclosure provides materials and methods relating to the use of metabolomics as a biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance. Defining metabolic changes during AD disease trajectory and their relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery.
    Type: Application
    Filed: September 8, 2017
    Publication date: December 30, 2021
    Inventors: Rima F. Kaddurah-Daouk, Jon B. Toledo, Matthias Arnold, Gabi Kastemüller, Rebecca A. Baillie, Xianlin Han, Will Thompson, Lisa St. John-Williams, Therese Koal, Kwangsik Nho, M. Arthur Moseley, Andrew J. Saykin, Pudugramam Murali Doraiswamy
  • Publication number: 20210293794
    Abstract: Embodiments of the present disclosure relate generally to the analysis of broad metabolic changes associated with neurological disorders. In particular, the present disclosure provides materials and methods relating to the use of metabolomics as a biochemical approach to identify peripheral metabolic changes and corresponding metabolic biomarkers of neurological disorders. Embodiments of the present disclosure include the use of bile acids and their derivatives as metabolic biomarkers to aid in the determination of whether a subject suffers from, or is at risk of developing, a neurological disorder, such as Alzheimer's Disease (AD).
    Type: Application
    Filed: February 24, 2018
    Publication date: September 23, 2021
    Inventors: Wei Jia, Matthias Arnold, Gabi Kastenmueller, Kwangsik Nho, Andrew J. Saykin, Siamak Mahmoudian Dehkordi, Rima F. Kaddurah-Daouk, Gregory Louie, Therese Koal
  • Publication number: 20200241011
    Abstract: The present disclosure relates to compositions and methods for use in the analysis of broad metabolic changes associated with neurological disorders. In particular, the present disclosure provides materials and methods relating to the use of metabolomics as a biochemical approach to identify sex-specific metabolic biomarkers of neurological disorders. Embodiments of the present disclosure include the use of sex-specific metabolic biomarkers to aid in the determination of whether a subject suffers from, or is at risk of developing, a neurological disorder, such as Alzheimer's disease (AD).
    Type: Application
    Filed: February 24, 2018
    Publication date: July 30, 2020
    Inventors: Rima F. Kaddurah-Daouk, Matthias Arnold, Gabi Kastenmueller, Kwangsik Nho, Andrew J. Saykin, Rui Chang
  • Publication number: 20140357525
    Abstract: Disclosed herein are markers for diagnosing Alzheimer's Disease and/or mild cognitive impairment, for predicting risk of developing Alzheimer's Disease and/or mild cognitive impairment, and for monitoring the efficacy of treatment for Alzheimer's Disease and/or mild cognitive impairment. Also disclosed herein are methods of diagnosing Alzheimer's Disease and/or mild cognitive impairment in a subject in need thereof, for predicting risk of developing Alzheimer's Disease and/or mild cognitive impairment in a subject in need thereof, and for monitoring the efficacy of a treatment for Alzheimer's Disease and/or mild cognitive impairment in the subject.
    Type: Application
    Filed: March 26, 2014
    Publication date: December 4, 2014
    Inventors: Rima F. Kaddurah-Daouk, Pudugramam M. Doraiswamy, Hongjie Zhu, Steve Rozen, Michael A. Kling, John Q. Trajonowski, Steven Arnold
  • Patent number: 8637321
    Abstract: The present invention has utilized the power of lipidomics to profile lipid metabolites and to characterize changes in lipid metabolism as they relate to CNS disorders. Lipidomic signatures can guide the development of diagnostic, prognostic and surrogate markers for CNS disorders; identification of new targets for drug design based on highlighted perturbed pathways; stratify patients with CNS disorders as to which pathways are impaired, and facilitate the determination of which patients with CNS disorders are candidates for a particular therapy, i.e. provide the tools for a personalized approach to therapy; identify which patients are responding or are developing side effects to a treatment; design of modified antipsychotics that have less metabolic side effects and enhanced activity; overcome the lag phase in response to some treatments; and find better combination therapies for CNS disorders that target the pathways that are impaired (e.g., impairments in lipid and/or carbohydrate metabolism).
    Type: Grant
    Filed: October 12, 2006
    Date of Patent: January 28, 2014
    Assignees: Duke University, Lipomics Technologies, Inc.
    Inventors: Rima F. Kaddurah-Daouk, K. Ranga Rama Krishnan, Joseph P. McEvoy, Rebecca Ann Baillie
  • Patent number: 8137977
    Abstract: The present invention concerns the application of lipidomics to statin treatment for disorders such as cardiovascular disorders. Hence, the invention provides, among other things, a method of correlating a lipid profile with a positive or negative response to a statin treatment regimen by obtaining a lipid profile of a sample from a mammalian subject following commencement of the treatment regimen; and correlating the lipid profile in the sample with a positive or negative response to the treatment regimen. The invention further provides a method of correlating a lipid profile with a positive or negative response to a statin treatment regimen by obtaining a lipid profile of a sample from a mammalian subject before commencement of the treatment regimen; and correlating the lipid profile in the sample with a positive or negative response to the treatment regimen.
    Type: Grant
    Filed: October 24, 2008
    Date of Patent: March 20, 2012
    Assignees: Children's Hospital & Research Center at Oakland, Duke University, Lipomics Technologies, Inc., Mayo Foundation for Medical Education and Research
    Inventors: Rima F. Kaddurah-Daouk, Michelle M. Wiest, Steven M. Watkins, Rebecca Ann Baillie, Madhumita Patnaik, K. Ranga Rama Krishnan, Richard M. Weinshilboum, Ronald M. Krauss
  • Publication number: 20090305323
    Abstract: The present invention has utilized the power of lipidomics to profile lipid metabolites and to characterize changes in lipid metabolism as they relate to CNS disorders. Lipidomic signatures can guide the development of diagnostic, prognostic and surrogate markers for CNS disorders; identification of new targets for drug design based on highlighted perturbed pathways; stratify patients with CNS disorders as to which pathways are impaired, and facilitate the determination of which patients with CNS disorders are candidates for a particular therapy, i.e. provide the tools for a personalized approach to therapy; identify which patients are responding or are developing side effects to a treatment; design of modified antipsychotics that have less metabolic side effects and enhanced activity; overcome the lag phase in response to some treatments; and find better combination therapies for CNS disorders that target the pathways that are impaired (e.g., impairments in lipid and/or carbohydrate metabolism).
    Type: Application
    Filed: October 12, 2006
    Publication date: December 10, 2009
    Inventors: Rima F. Kaddurah-Daouk, K. Ranga Rama Krishnan, Joseph P. McEvoy, Rebecca Ann Baillie
  • Publication number: 20090197242
    Abstract: The present invention concerns the application of lipidomics to statin treatment for disorders such as cardiovascular disorders. Hence, the invention provides, among other things, a method of correlating a lipid profile with a positive or negative response to a statin treatment regimen by obtaining a lipid profile of a sample from a mammalian subject following commencement of the treatment regimen; and correlating the lipid profile in the sample with a positive or negative response to the treatment regimen. The invention further provides a method of correlating a lipid profile with a positive or negative response to a statin treatment regimen by obtaining a lipid profile of a sample from a mammalian subject before commencement of the treatment regimen; and correlating the lipid profile in the sample with a positive or negative response to the treatment regimen.
    Type: Application
    Filed: October 24, 2008
    Publication date: August 6, 2009
    Inventors: Rima F. Kaddurah-Daouk, Michelle M. Wiest, Steven M. Watkins, Rebecca A. Baillie, Madhumita Patnaik, K. Ranga Rama Krishnan, Richard M. Weinshilboum, Ronald M. Krauss