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).