Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

Demographic information of the Enrolled Population.

More »

Table 1 Expand

Fig 1.

Inter-correlations between serumal and urinary metabolites.

(A) Correlation between overlapped metabolites of serum and urine. “U” means compound in urine and “S” means metabolites in serum. Each lattice denotes correlation within one metabolite pair. (B) Distribution of inter-covariations between metabolites within the same category or pathway. Categories were identified based on the chemical taxonomy in HMDB [15]; only categories possessing more than 10 inter-covariations were displayed; the number of inter-covariations possessed by each category was shown in the top region; among the categories, differences of covariations’ distribution were calculated based on healthy group in form of P-values (Kolmogorov-Smirnov test); CHB random 1 and 2 are two CHB random sets with the same sample number as healthy controls.

More »

Fig 1 Expand

Fig 2.

Abnormal metabolism indicated by differentially co-varied metabolic network of CHB.

(A) Differentially co-varied metabolic network of CHB. Red nodes denote up-regulated metabolites in CHB group and blue nodes denote down-regulated ones. (B) Aberrant glycine metabolism in CHB. Edges with red color are significantly changed covariations in CHB. And compounds followed with up/down arrows are significantly differential metabolites. (C) Fatty acids metabolism connecting with TCA cycle.

More »

Fig 2 Expand

Table 2.

Detailed information of hub areas in differentially covaried network of CHB.

More »

Table 2 Expand