Rapid Screening of COVID-19 Disease Directly from Clinical Nasopharyngeal Swabs using the MasSpec Pen Technology

The outbreak of COVID-19 has created an unprecedent global crisis. While PCR is the gold standard method for detecting active SARS-CoV-2 infection, alternative high-throughput diagnostic tests are of significant value to meet universal testing demands. Here, we describe a new design of the MasSpec Pen technology integrated to electrospray ionization (ESI) for direct analysis of clinical swabs and investigate its use for COVID-19 screening. The redesigned MasSpec Pen system incorporates a disposable sampling device refined for uniform and efficient analysis of swab tips via liquid extraction directly coupled to a ESI source. Using this system, we analyzed nasopharyngeal swabs from 244 individuals including symptomatic COVID-19 positive, symptomatic negative, and asymptomatic negative individuals, enabling rapid detection of rich lipid profiles. Two statistical classifiers were generated based on the lipid information aquired. Classifier 1 was built to distinguish symptomatic PCR-positive from asymptomatic PCR-negative individuals, yielding cross-validation accuracy of 83.5%, sensitivity of 76.6%, and specificity of 86.6%, and validation set accuracy of 89.6%, sensitivity of 100%, and specificity of 85.3%. Classifier 2 was built to distinguish symptomatic PCR-positive patients from negative individuals including symptomatic PCR-negative patients with moderate to severe symptoms and asymptomatic individuals, yielding a cross-validation accuracy of 78.4% accuracy, specificity of 77.21%, and sensitivity of 81.8%. Collectively, this study suggests that the lipid profiles detected directly from nasopharyngeal swabs using MasSpec Pen-ESI MS allows fast (under a minute) screening of COVID-19 disease using minimal operating steps and no specialized reagents, thus representing a promising alternative high-throughput method for screening of COVID-19.

[1]  G. Fabbrocini,et al.  Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19 , 2021, Scientific Reports.

[2]  J. Tate,et al.  Evaluation of Abbott BinaxNOW Rapid Antigen Test for SARS-CoV-2 Infection at Two Community-Based Testing Sites — Pima County, Arizona, November 3–17, 2020 , 2021, MMWR. Morbidity and mortality weekly report.

[3]  L. Reis,et al.  Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning , 2021, Analytical chemistry.

[4]  Gannon C.K. Mak,et al.  Evaluation of rapid antigen detection kit from the WHO Emergency Use List for detecting SARS-CoV-2 , 2020, Journal of Clinical Virology.

[5]  T. Kwee,et al.  Chest CT in COVID-19: What the Radiologist Needs to Know , 2020, Radiographics : a review publication of the Radiological Society of North America, Inc.

[6]  T. Garrett,et al.  Mass Spectrometry Techniques in Emerging Pathogens Studies: COVID-19 Perspectives , 2020, Journal of the American Society for Mass Spectrometry.

[7]  Fabiane M. Nachtigall,et al.  Detection of SARS-CoV-2 in nasal swabs using MALDI-MS , 2020, Nature Biotechnology.

[8]  Bruce J. Tromberg,et al.  Rapid Scaling Up of Covid-19 Diagnostic Testing in the United States — The NIH RADx Initiative , 2020, The New England journal of medicine.

[9]  G. Verbeck,et al.  Paper spray mass spectrometry utilizing Teslin® substrate for rapid detection of lipid metabolite changes during COVID-19 infection. , 2020, The Analyst.

[10]  Melis N. Anahtar,et al.  Clinical sensitivity and interpretation of PCR and serological COVID‐19 diagnostics for patients presenting to the hospital , 2020, medRxiv.

[11]  L. Kucirka,et al.  Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction–Based SARS-CoV-2 Tests by Time Since Exposure , 2020, Annals of Internal Medicine.

[12]  R. Savaş,et al.  Chest CT features of the novel coronavirus disease (COVID-19) , 2020, Turkish journal of medical sciences.

[13]  C. Vay,et al.  A combined approach of MALDI-TOF mass spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs , 2020, bioRxiv.

[14]  M. Abu-Farha,et al.  The Role of Lipid Metabolism in COVID-19 Virus Infection and as a Drug Target , 2020, International journal of molecular sciences.

[15]  Zhibo Wen,et al.  Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China , 2020, Respiratory Medicine.

[16]  Shihua Zhao,et al.  The role of imaging in 2019 novel coronavirus pneumonia (COVID-19) , 2020, European Radiology.

[17]  Victor M. Montori,et al.  COVID-19 Testing , 2020, Mayo Clinic Proceedings.

[18]  Huanhuan Gao,et al.  Proteomic and Metabolomic Characterization of COVID-19 Patient Sera , 2020, Cell.

[19]  Hong Wang,et al.  Plasma metabolomic and lipidomic alterations associated with COVID-19 , 2020, medRxiv.

[20]  Hao Feng,et al.  A case report of COVID-19 with false negative RT-PCR test: necessity of chest CT , 2020, Japanese Journal of Radiology.

[21]  Jun Liu,et al.  Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing , 2020, Radiology.

[22]  E. Holmes,et al.  A new coronavirus associated with human respiratory disease in China , 2020, Nature.

[23]  Andrea Benedetti,et al.  Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis , 2020, BMJ.

[24]  Katherine R. Sebastian,et al.  Performance of the MasSpec Pen for Rapid Diagnosis of Ovarian Cancer. , 2019, Clinical chemistry.

[25]  Z. Ouyang,et al.  Direct sampling mass spectrometry for clinical analysis. , 2019, The Analyst.

[26]  J. Chan,et al.  Characterization of the Lipidomic Profile of Human Coronavirus-Infected Cells: Implications for Lipid Metabolism Remodeling upon Coronavirus Replication , 2019, Viruses.

[27]  D. Dou,et al.  Influenza A Virus Cell Entry, Replication, Virion Assembly and Movement , 2018, Front. Immunol..

[28]  Thomas E. Milner,et al.  Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system , 2017, Science Translational Medicine.

[29]  J. Dubuisson,et al.  Morphology and Molecular Composition of Purified Bovine Viral Diarrhea Virus Envelope , 2016, PLoS pathogens.

[30]  Thomas,et al.  Lipid composition of viral envelope of three strains of influenza virus - not all viruses are created equal. , 2015, ACS infectious diseases.

[31]  Y. Khudyakov,et al.  Application of mass spectrometry to molecular diagnostics of viral infections , 2013, Expert review of molecular diagnostics.

[32]  Vincent S Pagnotti,et al.  Solvent assisted inlet ionization: an ultrasensitive new liquid introduction ionization method for mass spectrometry. , 2011, Analytical chemistry.

[33]  R. Cooks,et al.  Distinctive Glycerophospholipid Profiles of Human Seminoma and Adjacent Normal Tissues by Desorption Electrospray Ionization Imaging Mass Spectrometry , 2011, Journal of the American Society for Mass Spectrometry.

[34]  Y. Ho,et al.  Identification of Pathogens by Mass Spectrometry , 2010, Clinical chemistry.

[35]  D. Nayak,et al.  The role of lipid microdomains in virus biology. , 2004, Sub-cellular biochemistry.

[36]  G. Godeke,et al.  The phospholipid composition of enveloped viruses depends on the intracellular membrane through which they bud. , 1995, Biochemical Society transactions.

[37]  D. Rifkin,et al.  Phospholipid composition of Rous sarcoma virus, host cell membranes and other enveloped RNA viruses. , 1971, Virology.

[38]  A. T. James,et al.  Lipids of influenza virus and their relation to those of the host cell , 1961 .