“…Major metabolites (hypoxanthine, uric acid, and lipids) assigned to the differential spectral markers are associated with SARS-CoV-2 infection, , and have been utilized to discriminate between mild COV+ and healthy adults. , Some authors have also explored the evolution of metabolic features at different time intervals post-symptom onset as correlates of COVID-19 pathogenesis and immune response . Recently, machine learning-aided metabolomics revealed COVID-19-specific trends of dysregulation, similar to those reported in the present work, in various classes of biological compounds, including lipids (1450 cm –1 ), proteins (1250 cm –1 ), amino acids (630, 1093 cm –1 ), and adenine and its derivatives, such as methyladenosine, in mildly infected patients. , The levels of metabolic components decreased in the longitudinal plasma of the COV+ after ∼3 weeks post-symptom onset, before rising gradually, reaching a similar metabolic state to that detected for the COV– subjects 14 weeks post-infection, which is in agreement with the probable metabolic healing process of COV+ patients observed in our results presented in Figure a.…”