Back to Search Start Over

Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection

Authors :
Sofina Begum
Samantha Lodge
Chris Smith
Nicola Gray
Kenneth G. C. Smith
Toby Richards
Jeremy K. Nicholson
Ruey Leng Loo
Luke Whiley
Elaine Holmes
Philipp Nitschke
Bu B. Yeap
David Morrison
Nathan G. Lawler
Torben Kimhofer
Sze-How Bong
Kimhofer, Torben [0000-0001-7158-9930]
Whiley, Luke [0000-0002-9088-4799]
Gray, Nicola [0000-0002-0094-5245]
Loo, Ruey Leng [0000-0001-5307-5709]
Lawler, Nathan G [0000-0001-9649-425X]
Holmes, Elaine [0000-0002-0556-8389]
Apollo - University of Cambridge Repository
Source :
Journal of Proteome Research
Publication Year :
2020
Publisher :
American Chemical Society (ACS), 2020.

Abstract

The metabolic effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on human blood plasma were characterized using multi-platform metabolic phenotyping with Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Quantitative measurements of lipoprotein sub-fractions, alpha-1-acid glycoprotein, glucose and biogenic amines were made on samples from symptomatic coronavirus disease 19 (COVID-19) patients who had tested positive for the SARS-CoV-2 virus (n = 17) and from age and gender-matched controls (n = 25). Data were analyzed using an orthogonal-projections to latent structures (O-PLS) method and used to construct an exceptionally strong (AUROC=1) hybrid NMR-MS model that enabled detailed metabolic discrimination between the groups and their biochemical relationships. Key discriminant metabolites included markers of inflammation including elevated alpha-1 acid glycoprotein and an increased kynurenine/tryptophan ratio. There was also an abnormal lipoprotein, glucose and amino acid signature consistent with diabetes and coronary artery disease (low total and HDL Apolipoprotein A1, low HDL triglycerides, high LDL and VLDL triglycerides). Plus, multiple highly significant amino acid markers of liver dysfunction (including the elevated glutamine/glutamate and Fischer’s ratios) that present themselves as part of a distinct SARS-CoV-2 infection pattern. A multivariate training-test set model was validated using independent samples from additional SARS-CoV-2 positive patients and controls. The predictive model showed a sensitivity of 100% for SARS-CoV-2 positivity. The breadth of the disturbed pathways indicates a systemic signature of SARS-CoV-2 positivity that includes elements of liver dysfunction, dyslipidaemia, diabetes, and coronary heart disease risk that are consistent with recent reports that COVID-19 is a systemic disease affecting multiple organs and systems. Metabolights study reference: MTBLS2014.

Details

ISSN :
15353907 and 15353893
Volume :
19
Database :
OpenAIRE
Journal :
Journal of Proteome Research
Accession number :
edsair.doi.dedup.....8422129ca9ad0362d5e7975b25e1b74f