Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection.
Torben KimhoferSamantha LodgeLuke WhileyNicola GrayRuey Leng LooNathan G LawlerPhilipp NitschkeSze-How BongDavid L MorrisonSofina BegumToby RichardsBu B YeapChris SmithKenneth G C SmithElaine HolmesJeremy K NicholsonPublished in: Journal of proteome research (2020)
The metabolic effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on human blood plasma were characterized using multiplatform metabolic phenotyping with nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Quantitative measurements of lipoprotein subfractions, α-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 (OPLS) 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 α-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, dyslipidemia, 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.
Keyphrases
- respiratory syndrome coronavirus
- sars cov
- coronavirus disease
- amino acid
- mass spectrometry
- magnetic resonance
- high resolution
- liquid chromatography
- type diabetes
- oxidative stress
- coronary artery disease
- end stage renal disease
- cardiovascular disease
- ms ms
- endothelial cells
- chronic kidney disease
- high resolution mass spectrometry
- glycemic control
- electronic health record
- big data
- multiple sclerosis
- high throughput
- data analysis
- prognostic factors
- heart failure
- blood pressure
- mental health
- machine learning
- high performance liquid chromatography
- simultaneous determination
- peritoneal dialysis
- emergency department
- acute coronary syndrome
- gas chromatography
- coronary artery bypass grafting
- metabolic syndrome
- computed tomography
- left ventricular
- tandem mass spectrometry
- capillary electrophoresis
- aortic valve
- atrial fibrillation
- virtual reality