A. Heatmap and hierarchical clustering analysis of COVID-19 and control individuals with all the metabolites included in the analysis. Different intensities in red and blue colors in the heatmap and scale bar at the right side of the figure, denotes increased or reduced levels, respectively. B. Spearman correlation analysis of serum metabolites in COVID-19 and control groups. H, healthy controls, M, mild/moderate disease; S, severe disease. Blue numbers indicate a positive association. Red numbers indicate a negative association. Asterisks denote statistical significance with p-value S3 Table.</p
Proteins are direct products of the genome and metabolites are functional products of interactions b...
A. Score plot of PLS-DA analysis of healthy controls (H), mild/moderate (M), and severe (S) patients...
COVID-19 is a disease characterized by its seemingly unpredictable clinical outcomes. In order to be...
(A) Proximity plots of the RF model discriminating COVID-19 patients (mild light red dots, severe re...
(A) Main demographic and clinical characteristics of the enrolled subjects (right panel); for each g...
The data contain all the baseline information about participants in the study (COVID-19 patients an...
IntroductionThe diagnosis of COVID-19 is normally based on the qualitative detection of viral nuclei...
Introduction: The variation in human blood serum metabolites resulting from an infection can assist ...
Abstract The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids...
Saliva metabolomics analysis for COVID-19 diagnosis and prognosis via LC-MS in positive mode, showin...
The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids that do ...
The effect of COVID-19 infection on the human metabolome has been widely reported, but to date all s...
The metabolic characteristics of COVID-19 disease are still largely unknown. Here, 44 patients with ...
ObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is ...
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the coronavirus strain causing the r...
Proteins are direct products of the genome and metabolites are functional products of interactions b...
A. Score plot of PLS-DA analysis of healthy controls (H), mild/moderate (M), and severe (S) patients...
COVID-19 is a disease characterized by its seemingly unpredictable clinical outcomes. In order to be...
(A) Proximity plots of the RF model discriminating COVID-19 patients (mild light red dots, severe re...
(A) Main demographic and clinical characteristics of the enrolled subjects (right panel); for each g...
The data contain all the baseline information about participants in the study (COVID-19 patients an...
IntroductionThe diagnosis of COVID-19 is normally based on the qualitative detection of viral nuclei...
Introduction: The variation in human blood serum metabolites resulting from an infection can assist ...
Abstract The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids...
Saliva metabolomics analysis for COVID-19 diagnosis and prognosis via LC-MS in positive mode, showin...
The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids that do ...
The effect of COVID-19 infection on the human metabolome has been widely reported, but to date all s...
The metabolic characteristics of COVID-19 disease are still largely unknown. Here, 44 patients with ...
ObjectivesThe COVID-19 pandemic has been a serious worldwide public health crisis since 2020 and is ...
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the coronavirus strain causing the r...
Proteins are direct products of the genome and metabolites are functional products of interactions b...
A. Score plot of PLS-DA analysis of healthy controls (H), mild/moderate (M), and severe (S) patients...
COVID-19 is a disease characterized by its seemingly unpredictable clinical outcomes. In order to be...