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Changes to the sebum lipidome upon COVID-19 infection observed via non-invasive and rapid sampling from the skin
Matt P Spick; Katie Longman; Cecile Frampas; Catia Costa; Deborah Dunn-Walters; Alex Stewart; Mike Wilde; Danni Greener; George Evetts; Drupad K Trivedi; Perdita Barran; Andy Pitt; Melanie Bailey; Holly May Lewis.
Affiliation
  • Matt P Spick; University of Surrey
  • Katie Longman; University of Surrey
  • Cecile Frampas; University of Surrey
  • Catia Costa; University of Surrey
  • Deborah Dunn-Walters; University of Surrey
  • Alex Stewart; University of Surrey
  • Mike Wilde; University of Leicester
  • Danni Greener; Frimley Park Hospital
  • George Evetts; Frimley Park Hospital
  • Drupad K Trivedi; University of Manchester
  • Perdita Barran; University of Manchester
  • Andy Pitt; University of Manchester
  • Melanie Bailey; University of Surrey
  • Holly May Lewis; University of Surrey
Preprint in English | medRxiv | ID: ppmedrxiv-20203745
ABSTRACT
The COVID-19 pandemic has led to an urgent and unprecedented demand for testing - both for diagnosis and prognosis. Here we explore the potential for using sebum, collected via swabbing of a patients skin, as a novel sampling matrix to fulfil these requirements. In this pilot study, sebum samples were collected from 67 hospitalised patients (30 PCR positive and 37 PCR negative). Lipidomics analysis was carried out using liquid chromatography mass spectrometry. Lipid levels were found to be depressed in COVID-19 positive participants, indicative of dyslipidemia. Partial Least Squares-Discriminant Analysis (PLS-DA) modelling showed promising separation of COVID-19 positive and negative participants when comorbidities and medication were controlled for, with sensitivity of 75% and specificity of 81% in stratified subsets. Given that sebum sampling is rapid and non-invasive, this work highlights the potential of this alternative matrix for testing for COVID-19.
License
cc_by_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
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