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Exploration of Human Serum Lipoprotein Supramolecular Phospholipids Using Statistical Heterospectroscopy in n-Dimensions (SHY-n): Identification of Potential Cardiovascular Risk Biomarkers Related to SARS-CoV-2 Infection.
Masuda, Reika; Lodge, Samantha; Whiley, Luke; Gray, Nicola; Lawler, Nathan; Nitschke, Philipp; Bong, Sze-How; Kimhofer, Torben; Loo, Ruey Leng; Boughton, Berin; Zeng, Annie X; Hall, Drew; Schaefer, Hartmut; Spraul, Manfred; Dwivedi, Girish; Yeap, Bu B; Diercks, Tammo; Bernardo-Seisdedos, Ganeko; Mato, José M; Lindon, John C; Holmes, Elaine; Millet, Oscar; Wist, Julien; Nicholson, Jeremy K.
Afiliación
  • Masuda R; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Lodge S; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Whiley L; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Gray N; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Lawler N; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Nitschke P; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Bong SH; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Kimhofer T; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Loo RL; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Boughton B; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Zeng AX; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Hall D; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Schaefer H; Bruker Biospin GmbH, Silberstreifen, Ettlingen 76275, Germany.
  • Spraul M; Bruker Biospin GmbH, Silberstreifen, Ettlingen 76275, Germany.
  • Dwivedi G; Department of Cardiology, Fiona Stanley Hospital, Medical School, University of Western Australia, Perth 6150, Western Australia, Australia.
  • Yeap BB; Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Medical School, University of Western Australia, Perth 6150, Western Australia, Australia.
  • Diercks T; Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain.
  • Bernardo-Seisdedos G; Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain.
  • Mato JM; Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain.
  • Lindon JC; Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
  • Holmes E; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
  • Millet O; Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
  • Wist J; Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160 Derio, Spain.
  • Nicholson JK; Australian National Phenome Center, and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth 6150, Western Australia, Australia.
Anal Chem ; 94(10): 4426-4436, 2022 03 15.
Article en En | MEDLINE | ID: mdl-35230805
ABSTRACT
SARS-CoV-2 infection causes a significant reduction in lipoprotein-bound serum phospholipids give rise to supramolecular phospholipid composite (SPC) signals observed in diffusion and relaxation edited 1H NMR spectra. To characterize the chemical structural components and compartmental location of SPC and to understand further its possible diagnostic properties, we applied a Statistical HeterospectroscopY in n-dimensions (SHY-n) approach. This involved statistically linking a series of orthogonal measurements made on the same samples, using independent analytical techniques and instruments, to identify the major individual phospholipid components giving rise to the SPC signals. Thus, an integrated model for SARS-CoV-2 positive and control adults is presented that relates three identified diagnostic subregions of the SPC signal envelope (SPC1, SPC2, and SPC3) generated using diffusion and relaxation edited (DIRE) NMR spectroscopy to lipoprotein and lipid measurements obtained by in vitro diagnostic NMR spectroscopy and ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). The SPC signals were then correlated sequentially with (a) total phospholipids in lipoprotein subfractions; (b) apolipoproteins B100, A1, and A2 in different lipoproteins and subcompartments; and (c) MS-measured total serum phosphatidylcholines present in the NMR detection range (i.e., PCs 16.0,18.2; 18.0,18.1; 18.2,18.2; 16.0,18.1; 16.0,20.4; 18.0,18.2; 18.1,18.2), lysophosphatidylcholines (LPCs 16.0 and 18.2), and sphingomyelin (SM 22.1). The SPC3/SPC2 ratio correlated strongly (r = 0.86) with the apolipoprotein B100/A1 ratio, a well-established marker of cardiovascular disease risk that is markedly elevated during acute SARS-CoV-2 infection. These data indicate the considerable potential of using a serum SPC measurement as a metric of cardiovascular risk based on a single NMR experiment. This is of specific interest in relation to understanding the potential for increased cardiovascular risk in COVID-19 patients and risk persistence in post-acute COVID-19 syndrome (PACS).
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / COVID-19 Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Anal Chem Año: 2022 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / COVID-19 Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Anal Chem Año: 2022 Tipo del documento: Article País de afiliación: Australia