Patents by Inventor Chanjuan QU

Chanjuan QU 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: 11602134
    Abstract: A preparation method of an anti-PD-1/PD-L1 monoclonal antibody (mAb)-induced autoimmune myocarditis model is provided, including: mediating a model with adeno-associated virus 9 (AAV9) to achieve the high expression of PDL1 in a myocardial tissue, and applying an anti-PD-1/PD-L1 mAb to the model with high PDL1 expression in the myocardial tissue for modeling. The present disclosure also provides use of an animal model prepared by the preparation method. The model prepared by the present disclosure truly simulates the pathogenesis and clinical course of autoimmune myocarditis in a patient administered with an anti-PD1/PD-L1 mAb, is close to a pathophysiological status of a clinical patient, has a high modeling rate, and can be dynamically monitored.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: March 14, 2023
    Assignee: PEKING UNION MEDICAL COLLEGE HOSPITAL
    Inventors: Yining Wang, Chanjuan Qu, Jian Wang, Yanyu Li, Kang Zhou, Jian Cao, Lu Lin, Xiao Li, Zhengyu Jin
  • Publication number: 20220361463
    Abstract: A preparation method of an anti-PD-1/PD-L1 monoclonal antibody (mAb)-induced autoimmune myocarditis model is provided, including: mediating a model with adeno-associated virus 9 (AAV9) to achieve the high expression of PDL1 in a myocardial tissue, and applying an anti-PD-1/PD-L1 mAb to the model with high PDL1 expression in the myocardial tissue for modeling. The present disclosure also provides use of an animal model prepared by the preparation method. The model prepared by the present disclosure truly simulates the pathogenesis and clinical course of autoimmune myocarditis in a patient administered with an anti-PD1/PD-L1 mAb, is close to a pathophysiological status of a clinical patient, has a high modeling rate, and can be dynamically monitored.
    Type: Application
    Filed: January 10, 2022
    Publication date: November 17, 2022
    Applicant: PEKING UNION MEDICAL COLLEGE HOSPITAL
    Inventors: Yining WANG, Chanjuan QU, Jian WANG, Yanyu LI, Kang ZHOU, Jian CAO, Lu LIN, Xiao LI, Zhengyu JIN