Patents by Inventor Zachary Kaminsky

Zachary Kaminsky 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: 12291749
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: May 6, 2025
    Assignees: The Johns Hopkins University, UMC Utrecht Holding B.V.
    Inventors: Zachary Kaminsky, Marco Paul Maria Boks
  • Publication number: 20230151423
    Abstract: The present invention relates to the field of post-partum depression. More specifically, the present invention relates to the use of biomarkers to diagnose post-partum depression or predict a risk thereof. In a specific embodiment, a method for identifying a likelihood of PPD in a patient comprises the steps of (a) providing a sample from the patient; (b) measuring white blood cell type counts and DNA methylation levels of a panel of biomarkers in the sample collected from the patient, wherein the panel of biomarkers comprises HP1BP3 and TTC9B and the white blood cell type counts comprise monocytes and non-monocytes; and (c) identifying the patient as likely to develop PPD based on the relative DNA methylation levels at the biomarker loci relative to the ratio of monocytes:non-monocytes.
    Type: Application
    Filed: August 11, 2020
    Publication date: May 18, 2023
    Inventors: Zachary Kaminsky, Jennifer L. Payne, Todd Gould
  • Publication number: 20220049304
    Abstract: The present invention relates to the field of post-partum depression. More specifically, the present invention relates to the use of biomarkers to diagnose post-partum depression or predict a risk thereof. In a specific embodiment, a method for identifying a likelihood of PPD in a patient comprises the steps of (a) providing a sample from the patient; (b) measuring white blood cell type counts and DNA methylation levels of a panel of biomarkers in the sample collected from the patient, wherein the panel of biomarkers comprises HP1BP3 and TTC9B and the white blood cell type counts comprise monocytes and non-monocytes; and (c) identifying the patient as likely to develop PPD based on the relative DNA methylation levels at the biomarker loci relative to the ratio of monocytes:non-monocytes.
    Type: Application
    Filed: August 11, 2020
    Publication date: February 17, 2022
    Inventors: Zachary Kaminsky, Jennifer L. Payne, Todd Gould
  • Publication number: 20210404003
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.
    Type: Application
    Filed: June 29, 2021
    Publication date: December 30, 2021
    Inventors: Zachary Kaminsky, Marco Paul Maria Boks
  • Patent number: 11072828
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.
    Type: Grant
    Filed: October 6, 2015
    Date of Patent: July 27, 2021
    Assignees: The Johns Hopkins University, UMC UTRECHT HOLDING B.V.
    Inventors: Zachary Kaminsky, Marco Paul Maria Boks
  • Patent number: 10865446
    Abstract: The present invention relates to the field of post-partum depression. More specifically, the present invention relates to the use of biomarkers to diagnose post-partum depression or predict a risk thereof. In a specific embodiment, a method for identifying a likelihood of PPD in a patient comprises the steps of (a) providing a sample from the patient; (b) measuring white blood cell type counts and DNA methylation levels of a panel of biomarkers in the sample collected from the patient, wherein the panel of biomarkers comprises HP1BP3 and TTC9B and the white blood cell type counts comprise monocytes and non-monocytes; and (c) identifying the patient as likely to develop PPD based on the relative DNA methylation levels at the biomarker loci relative to the ratio of monocytes:non-monocytes.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: December 15, 2020
    Assignees: THE JOHNS HOPKINS UNIVERSITY, UNIVERSITY OF MARYLAND, BALTIMORE
    Inventors: Zachary Kaminsky, Jennifer L. Payne, Todd Gould
  • Patent number: 10280464
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict suicide ideation and/or suicide attempt. In one embodiment, a method for predicting suicide ideation and/or attempt by a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting suicide ideation and/or attempt by the subject using a prediction algorithm.
    Type: Grant
    Filed: July 11, 2014
    Date of Patent: May 7, 2019
    Assignee: The Johns Hopkins University
    Inventors: Zachary Kaminsky, Holly Wilcox
  • Publication number: 20180037954
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.
    Type: Application
    Filed: October 6, 2015
    Publication date: February 8, 2018
    Inventors: Zachary Kaminsky, Marco Paul Maria Boks
  • Publication number: 20160153044
    Abstract: The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict suicide ideation and/or suicide attempt. In one embodiment, a method for predicting suicide ideation and/or attempt by a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3? untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3? UTR of SKA2, and (c) predicting suicide ideation and/or attempt by the subject using a prediction algorithm.
    Type: Application
    Filed: July 11, 2014
    Publication date: June 2, 2016
    Inventors: Zachary Kaminsky, Holly Wilcox
  • Publication number: 20150299791
    Abstract: The present invention relates to the field of post-partum depression. More specifically, the present invention relates to the use of biomarkers to diagnose post-partum depression or predict a risk thereof. In a specific embodiment, a method for identifying a likelihood of PPD in a patient comprises the steps of (a) providing a sample from the patient; (b) measuring white blood cell type counts and DNA methylation levels of a panel of biomarkers in the sample collected from the patient, wherein the panel of biomarkers comprises HP1BP3 and TTC9B and the white blood cell type counts comprise monocytes and non-monocytes; and (c) identifying the patient as likely to develop PPD based on the relative DNA methylation levels at the biomarker loci relative to the ratio of monocytes:non-monocytes.
    Type: Application
    Filed: November 4, 2013
    Publication date: October 22, 2015
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Zachary Kaminsky, Jennifer L. Payne, Todd Gould