Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling.
Anal Chem
; 93(11): 4782-4787, 2021 03 23.
Article
in English
| MEDLINE | ID: covidwho-1114675
ABSTRACT
The outbreak of coronavirus disease 2019 (COVID-19) caused by SARS CoV-2 is ongoing and a serious threat to global public health. It is essential to detect the disease quickly and immediately to isolate the infected individuals. Nevertheless, the current widely used PCR and immunoassay-based methods suffer from false negative results and delays in diagnosis. Herein, a high-throughput serum peptidome profiling method based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is developed for efficient detection of COVID-19. We analyzed the serum samples from 146 COVID-19 patients and 152 control cases (including 73 non-COVID-19 patients with similar clinical symptoms, 33 tuberculosis patients, and 46 healthy individuals). After MS data processing and feature selection, eight machine learning methods were used to build classification models. A logistic regression machine learning model with 25 feature peaks achieved the highest accuracy (99%), with sensitivity of 98% and specificity of 100%, for the detection of COVID-19. This result demonstrated a great potential of the method for screening, routine surveillance, and diagnosis of COVID-19 in large populations, which is an important part of the pandemic control.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Peptides
/
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/
SARS-CoV-2
/
COVID-19
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Anal Chem
Year:
2021
Document Type:
Article
Affiliation country:
Acs.analchem.0c04590
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