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Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection.
Kimhofer, Torben; Lodge, Samantha; Whiley, Luke; Gray, Nicola; Loo, Ruey Leng; Lawler, Nathan G; Nitschke, Philipp; Bong, Sze-How; Morrison, David L; Begum, Sofina; Richards, Toby; Yeap, Bu B; Smith, Chris; Smith, Kenneth G C; Holmes, Elaine; Nicholson, Jeremy K.
  • Kimhofer T; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Lodge S; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Whiley L; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Gray N; Perron Institute for Neurological and Translational Science, Nedlands, Western Australia 6009, Australia.
  • Loo RL; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Lawler NG; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Nitschke P; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Bong SH; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Morrison DL; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Begum S; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
  • Richards T; Section for Nutrition Research, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
  • Yeap BB; Medical School, Faculty of Health and Medical Sciences, University of Western Australia, and Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Harry Perkins Building, Murdoch, Perth, Western Australia 6150, Australia.
  • Smith C; Medical School, Faculty of Health and Medical Sciences, University of Western Australia, and Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Harry Perkins Building, Murdoch, Perth, Western Australia 6150, Australia.
  • Smith KGC; The Cambridge Institute of Therapeutic Immunology and Infectious Disease, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K.
  • Holmes E; The Cambridge Institute of Therapeutic Immunology and Infectious Disease, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K.
  • Nicholson JK; Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia.
J Proteome Res ; 19(11): 4442-4454, 2020 11 06.
Article in English | MEDLINE | ID: covidwho-960282
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Amino Acids / Lipoproteins / Models, Biological / Multiple Organ Failure Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: J Proteome Res Journal subject: Biochemistry Year: 2020 Document Type: Article Affiliation country: Acs.jproteome.0c00519

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Amino Acids / Lipoproteins / Models, Biological / Multiple Organ Failure Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: J Proteome Res Journal subject: Biochemistry Year: 2020 Document Type: Article Affiliation country: Acs.jproteome.0c00519