Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin
Background: The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | EClinicalMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537021000663 |
| _version_ | 1818622399535382528 |
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| author | Matt Spick Katherine Longman Cecile Frampas Holly Lewis Catia Costa Deborah Dunn Walters Alex Stewart Michael Wilde Danni Greener George Evetts Drupad Trivedi Perdita Barran Andy Pitt Melanie Bailey |
| author_facet | Matt Spick Katherine Longman Cecile Frampas Holly Lewis Catia Costa Deborah Dunn Walters Alex Stewart Michael Wilde Danni Greener George Evetts Drupad Trivedi Perdita Barran Andy Pitt Melanie Bailey |
| author_sort | Matt Spick |
| collection | DOAJ |
| description | Background: The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather than looking for the virus itself. Methods: In this pilot study, sebum samples were collected from 67 hospitalised patients (30 COVID-19 positive and 37 COVID-19 negative) by gauze swab. Lipidomics analysis was carried out using liquid chromatography mass spectrometry, identifying 998 reproducible features. Univariate and multivariate statistical analyses were applied to the resulting feature set. Findings: Lipid levels were depressed in COVID-19 positive participants, indicative of dyslipidemia; p-values of 0·022 and 0·015 were obtained for triglycerides and ceramides respectively, with effect sizes of 0·44 and 0·57. Partial Least Squares-Discriminant Analysis showed separation of COVID-19 positive and negative participants with sensitivity of 57% and specificity of 68%, improving to 79% and 83% respectively when controlled for confounding comorbidities. Interpretation: COVID-19 dysregulates many areas of metabolism; in this work we show that the skin lipidome can be added to the list. Given that samples can be provided quickly and painlessly, we conclude that sebum is worthy of future consideration for clinical sampling. Funding: The authors acknowledge funding from the EPSRC Impact Acceleration Account for sample collection and processing, as well as EPSRC Fellowship Funding EP/R031118/1, the University of Surrey and BBSRC BB/T002212/1. Mass Spectrometry was funded under EP/P001440/1. |
| first_indexed | 2024-12-16T18:24:33Z |
| format | Article |
| id | doaj.art-a1cee47b6c0e45f4b9823ad73a3ff619 |
| institution | Directory Open Access Journal |
| issn | 2589-5370 |
| language | English |
| last_indexed | 2024-12-16T18:24:33Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EClinicalMedicine |
| spelling | doaj.art-a1cee47b6c0e45f4b9823ad73a3ff6192022-12-21T22:21:27ZengElsevierEClinicalMedicine2589-53702021-03-0133100786Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skinMatt Spick0Katherine Longman1Cecile Frampas2Holly Lewis3Catia Costa4Deborah Dunn Walters5Alex Stewart6Michael Wilde7Danni Greener8George Evetts9Drupad Trivedi10Perdita Barran11Andy Pitt12Melanie Bailey13Department of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United KingdomDepartment of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United KingdomDepartment of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United KingdomDepartment of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United KingdomSurrey Ion Beam Centre, University of Surrey, Guildford, United KingdomFaculty of Health and Medical Sciences, University of Surrey, Guildford, United KingdomFaculty of Health and Medical Sciences, University of Surrey, Guildford, United KingdomUniversity of Leicester, Leicester, United KingdomFrimley Park Hospital, Frimley Health NHS Trust, United KingdomFrimley Park Hospital, Frimley Health NHS Trust, United KingdomManchester Institute of Biotechnology, University of Manchester, United KingdomManchester Institute of Biotechnology, University of Manchester, United KingdomManchester Institute of Biotechnology, University of Manchester, United Kingdom; Aston University, Birmingham, United KingdomDepartment of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom; Surrey Ion Beam Centre, University of Surrey, Guildford, United Kingdom; Corresponding author at: Department of Chemistry, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom.Background: The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather than looking for the virus itself. Methods: In this pilot study, sebum samples were collected from 67 hospitalised patients (30 COVID-19 positive and 37 COVID-19 negative) by gauze swab. Lipidomics analysis was carried out using liquid chromatography mass spectrometry, identifying 998 reproducible features. Univariate and multivariate statistical analyses were applied to the resulting feature set. Findings: Lipid levels were depressed in COVID-19 positive participants, indicative of dyslipidemia; p-values of 0·022 and 0·015 were obtained for triglycerides and ceramides respectively, with effect sizes of 0·44 and 0·57. Partial Least Squares-Discriminant Analysis showed separation of COVID-19 positive and negative participants with sensitivity of 57% and specificity of 68%, improving to 79% and 83% respectively when controlled for confounding comorbidities. Interpretation: COVID-19 dysregulates many areas of metabolism; in this work we show that the skin lipidome can be added to the list. Given that samples can be provided quickly and painlessly, we conclude that sebum is worthy of future consideration for clinical sampling. Funding: The authors acknowledge funding from the EPSRC Impact Acceleration Account for sample collection and processing, as well as EPSRC Fellowship Funding EP/R031118/1, the University of Surrey and BBSRC BB/T002212/1. Mass Spectrometry was funded under EP/P001440/1.http://www.sciencedirect.com/science/article/pii/S2589537021000663COVID-19 diagnosticsSebomicsMulti-variate analysisLipidomicsLiquid chromatography-mass spectrometry |
| spellingShingle | Matt Spick Katherine Longman Cecile Frampas Holly Lewis Catia Costa Deborah Dunn Walters Alex Stewart Michael Wilde Danni Greener George Evetts Drupad Trivedi Perdita Barran Andy Pitt Melanie Bailey Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin EClinicalMedicine COVID-19 diagnostics Sebomics Multi-variate analysis Lipidomics Liquid chromatography-mass spectrometry |
| title | Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin |
| title_full | Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin |
| title_fullStr | Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin |
| title_full_unstemmed | Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin |
| title_short | Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin |
| title_sort | changes to the sebum lipidome upon covid 19 infection observed via rapid sampling from the skin |
| topic | COVID-19 diagnostics Sebomics Multi-variate analysis Lipidomics Liquid chromatography-mass spectrometry |
| url | http://www.sciencedirect.com/science/article/pii/S2589537021000663 |
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