CONSTRUCTION METHOD FOR MASS SPECTRUM MODEL FOR DIAGNOSING COVID-19 - BEIJING YIXINBOCHUANG BIOTECHNOLOGY CO LTD

Title:

CONSTRUCTION METHOD FOR MASS SPECTRUM MODEL FOR DIAGNOSING COVID-19

Document Type and Number:

WIPO Patent Application WO/2022/166494

Kind Code:

A1

Abstract:

A characteristic polypeptide composition for detecting COVID-19, comprising 29 characteristic polypeptides having specific mass-to-charge ratios. By analyzing the expression of the characteristic polypeptides, whether a sample is a COVID-19 patient can be determined. Also provided is use of the characteristic polypeptide composition in preparation of a mass spectrum model and a product for diagnosing COVID-19, etc. For the first time, an approach of finding a plurality of characteristic protein combinations having differences from COVID-19 patients/normal people, pulmonary tuberculosis patients, and a control having COVID-19 type symptoms is proposed, and a conventional search approach for finding characteristic polypeptides merely from normal people and COVID-19 patients is broken through, infection of false positive results having symptoms similar to those of COVID-19 is effectively avoided, operations are simple, detection cost is low, accuracy is high, and the present invention is expected to be used for large-scale screening of COVID-19.

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Inventors:

LIAO PU (CN)
SUN WEI (CN)
QIAO LIANG (CN)
LU QIAN (CN)
MA QINGWEI (CN)

Application Number:

PCT/CN2021/143445

Publication Date:

August 11, 2022

Filing Date:

December 30, 2021

Export Citation:

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Assignee:

BEIJING YIXINBOCHUANG BIOTECHNOLOGY CO LTD (CN)

International Classes:

G01N27/62; G01N33/569; G01N33/68

Foreign References:

CN112748173A	2021-05-04
CN111830120A	2020-10-27
CN111876524A	2020-11-03
CN112225782A	2021-01-15
CN103278554A	2013-09-04
CN102661884A	2012-09-12
US8057993B2	2011-11-15

Other References:

WANG, JUN: "Establishment and Application of PCR-Time-of-flight Mass Spectrometer for SARS-CoV-2 Nucleic Acid Detection", CHINESE GENERAL PRACTICE, ZHONGGUO QUANKE YIXUE, CN, vol. 23, no. 35, 1 December 2020 (2020-12-01), CN , pages 4430 - 4442, XP055956678, ISSN: 1007-9572, DOI: 10.12114/j.issn.1007-9572.2020.00.588

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