We present a multivariate metabotyping approach to assess the functional recovery of
nonhospitalized COVID-19 patients and the possible biochemical sequelae of
“Post-Acute COVID-19 Syndrome”, colloquially known as long-COVID. Blood
samples were taken from patients ca. 3 months after acute COVID-19 infection with
further assessment of symptoms at 6 months. Some 57% of the patients had one or more
persistent symptoms including respiratory-related symptoms like cough, dyspnea, and
rhinorrhea or other nonrespiratory symptoms including chronic fatigue, anosmia, myalgia,
or joint pain. Plasma samples were quantitatively analyzed for lipoproteins,
glycoproteins, amino acids, biogenic amines, and tryptophan pathway intermediates using
Nuclear Magnetic Resonance (NMR) spectroscopy and mass spectrometry. Metabolic data for
the follow-up patients (
n
= 27) were compared with controls
(
n
= 41) and hospitalized severe acute respiratory syndrome
SARS-CoV-2 positive patients (
n
= 18, with multiple time-points).
Univariate and multivariate statistics revealed variable patterns of functional recovery
with many patients exhibiting residual COVID-19 biomarker signatures. Several parameters
were persistently perturbed, e.g., elevated taurine (
p
= 3.6 ×
10
–3
versus controls) and reduced glutamine/glutamate ratio
(
p
= 6.95 × 10
–8
versus controls), indicative
of possible liver and muscle damage and a high energy demand linked to more generalized
tissue repair or immune function. Some parameters showed near-complete normalization,
e.g., the plasma apolipoprotein B100/A1 ratio was similar to that of healthy controls
but significantly lower (
p
= 4.2 × 10
–3
) than
post-acute COVID-19 patients, reflecting partial reversion of the metabolic phenotype
(phenoreversion) toward the healthy metabolic state. Plasma neopterin was normalized in
all follow-up patients, indicative of a reduction in the adaptive immune activity that
has been previously detected in active SARS-CoV-2 infection. Other systemic inflammatory
biomarkers such as GlycA and the kynurenine/tryptophan ratio remained elevated in some,
but not all, patients. Correlation analysis, principal component analysis (PCA), and
orthogonal-partial least-squares discriminant analysis (O-PLS-DA) showed that the
follow-up patients were, as a group, metabolically distinct from controls and partially
comapped with the acute-phase patients. Significant systematic metabolic differences
between asymptomatic and symptomatic follow-up patients were also observed for multiple
metabolites. The overall metabolic variance of the symptomatic patients was
significantly greater than that of nonsymptomatic patients for multiple parameters
(χ
2
p
= 0.014). Thus, asymptomatic follow-up patients including those with
post-acute COVID-19 Syndrome displayed a ...