Proteomics

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Distinct Molecular Signature of Asymptomatic COVID-19 Revealed by Lipidomic Characterization


ABSTRACT: Asymptomatic infection has become one of the biggest challenges in controlling the spread of COVID-19. However, the rapid diagnosis and pathogenesis elucidation of the disease remain critical issues. Here, we performed comprehensive lipidomic profiling of 267 serum samples from 89 asymptomatic COVID-19 patients and 178 healthy controls. A panel of 15 key lipids was discovered that could high-efficiently distinguish asymptomatic patients by using a new ensemble learning model, which provided a high accuracy of 96.0% with only 3.6% false positive rate and 4.8% false negative rate. In addition, characteristic lipidomic changes revealed distinct dysregulated lipid metabolism upon asymptomatic SARS-CoV-2 infection, which implicated the specific host immune, inflammatory, and antiviral responses during the virus invasion in asymptomatic COVID-19. This study provides an effective method for the pre-diagnosis of asymptomatic COVID-19, and the revealed molecular signature provided clues for the pathogenesis and therapy of this disease.

ORGANISM(S): Homo Sapiens

SUBMITTER: Suming Chen  

PROVIDER: PXD024410 | iProX | Tue Jun 14 00:00:00 BST 2022

REPOSITORIES: iProX

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Publications

A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums.

Chen Moran M   Hao Yanhong Y   Chen Suming S  

STAR protocols 20220202 1


Lipids play important roles in various human diseases. Disease-associated lipid dysregulation and biomarkers could provide molecular clues for diagnosis, pathogenesis, and therapy. This protocol provides a step-by-step workflow to investigate lipid dysregulation and discover biomarkers in human serum samples by liquid chromatography-mass spectrometry (LC-MS)-based lipidomics and machine learning analysis. The workflow includes project design, serum collection, sample preparation, data acquisitio  ...[more]

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