Imperial College London
Alternate

ProfessorElaineHolmes

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Chemical Biology
 
 
 
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Contact

 

+44 (0)20 7594 3220elaine.holmes

 
 
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Location

 

661Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lodge:2021:10.1021/acs.jproteome.0c00876,
author = {Lodge, S and Nitschke, P and Kimhofer, T and Coudert, JD and Begum, S and Bong, S-H and Richards, T and Edgar, D and Raby, E and Spraul, M and Schaefer, H and Lindon, JC and Loo, RL and Holmes, E and Nicholson, JK},
doi = {10.1021/acs.jproteome.0c00876},
journal = {Journal of Proteome Research},
pages = {1382--1396},
title = {NMR spectroscopic windows on the systemic effects of SARS-CoV-2 infection on plasma lipoproteins and metabolites in relation to circulating cytokines.},
url = {http://dx.doi.org/10.1021/acs.jproteome.0c00876},
volume = {20},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - To investigate the systemic metabolic effects of SARS-CoV-2 infection, we analyzed 1H NMR spectroscopic data on human blood plasma and co-modeled with multiple plasma cytokines and chemokines (measured in parallel). Thus, 600 MHz 1H solvent-suppressed single-pulse, spin-echo, and 2D J-resolved spectra were collected on plasma recorded from SARS-CoV-2 rRT-PCR-positive patients (n = 15, with multiple sampling timepoints) and age-matched healthy controls (n = 34, confirmed rRT-PCR negative), together with patients with COVID-19/influenza-like clinical symptoms who tested SARS-CoV-2 negative (n = 35). We compared the single-pulse NMR spectral data with in vitro diagnostic research (IVDr) information on quantitative lipoprotein profiles (112 parameters) extracted from the raw 1D NMR data. All NMR methods gave highly significant discrimination of SARS-CoV-2 positive patients from controls and SARS-CoV-2 negative patients with individual NMR methods, giving different diagnostic information windows on disease-induced phenoconversion. Longitudinal trajectory analysis in selected patients indicated that metabolic recovery was incomplete in individuals without detectable virus in the recovery phase. We observed four plasma cytokine clusters that expressed complex differential statistical relationships with multiple lipoproteins and metabolites. These included the following: cluster 1, comprising MIP-1β, SDF-1α, IL-22, and IL-1α, which correlated with multiple increased LDL and VLDL subfractions; cluster 2, including IL-10 and IL-17A, which was only weakly linked to the lipoprotein profile; cluster 3, which included IL-8 and MCP-1 and were inversely correlated with multiple lipoproteins. IL-18, IL-6, and IFN-γ together with IP-10 and RANTES exhibited strong positive correlations with LDL1-4 subfractions and negative correlations with multiple HDL subfractions. Collectively, these data show a distinct pattern indicative of a multilevel cellular immune resp
AU  - Lodge,S
AU  - Nitschke,P
AU  - Kimhofer,T
AU  - Coudert,JD
AU  - Begum,S
AU  - Bong,S-H
AU  - Richards,T
AU  - Edgar,D
AU  - Raby,E
AU  - Spraul,M
AU  - Schaefer,H
AU  - Lindon,JC
AU  - Loo,RL
AU  - Holmes,E
AU  - Nicholson,JK
DO  - 10.1021/acs.jproteome.0c00876
EP  - 1396
PY  - 2021///
SN  - 1535-3893
SP  - 1382
TI  - NMR spectroscopic windows on the systemic effects of SARS-CoV-2 infection on plasma lipoproteins and metabolites in relation to circulating cytokines.
T2  - Journal of Proteome Research
UR  - http://dx.doi.org/10.1021/acs.jproteome.0c00876
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33426894
UR  - https://pubs.acs.org/doi/10.1021/acs.jproteome.0c00876
UR  - http://hdl.handle.net/10044/1/85513
VL  - 20
ER  -
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