S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

Subjects:

S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

S5 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

Subjects:

Analysis of the correlation between pharyngeal microbiomics, metabolomics and clinical indicators between OC and HC. by Feng Gao (3548)

Subjects:

Metabolome KEGG enrichment analysis of serum in Omicron variant cases and recovered cases. by Feng Gao (3548)

Subjects:

Untargeted metabolomic profiling of sera from Omicron variant cases of the discovery cohort. by Feng Gao (3548)

Subjects:

S8 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

Thymus regeneration promotes naïve T-cell recovery in iMycTg aging-E mice and a partial decrease in Treg frequencies. by Abigail Morales-Sánchez (21799582)

In BC tissue samples and BC cell lines, the expression of let-7b-5p decreased while the expression of AURKB increased. by Murat Kaya (578380)

Phosphatidylcholine (PC) decreases the nuclear c-Fos and c-Jun protein levels under lipopolysaccharide (LPS) stimulation in MG6 cells. by Sachiko Mizuno (21799645)

Study flow chart. by Raymond Atwine (18574812)

Subjects:

Bar graph showing proportion of NADCs. by Raymond Atwine (18574812)

Subjects:

Line graph showing the trends of ADCs and NADCS over the 10 years period. by Raymond Atwine (18574812)

Subjects:

Outcome comparisons of study participant characteristics. by Raymond Atwine (18574812)

Subjects:

Baseline characteristics of study participants. by Raymond Atwine (18574812)

Subjects:

Effect of the different variables on ADCs in univariate and multivariate analysis. by Raymond Atwine (18574812)

Subjects:

Line graph showing the trends of ADCs and NADCs with CD4 counts. by Raymond Atwine (18574812)

Subjects: