Biomarkers for chronic hepatitis b and use thereof
A technology for chronic hepatitis B and liver disease, applied in the field of biomarkers for chronic hepatitis B and its use
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Embodiment 1
[0099] Example 1: Overview of intestinal flora
[0100] After paired-end merging, error correction and quality filtering processes, qualified sequences were thinned to 10,000 sequences per sample and clustered into 886 de novo OTUs at the 97% similarity threshold level. Principal component analysis (PCA) plots based on OTU distributions show that the training and test cohorts are fully mixed ( figure 1 ) and the composition of their gut flora were not significantly different (p=0.9, PERMANOVA test). OTU richness and phylogenetic diversity of gut microbiota did not differ significantly between groups. In contrast, the LDA plot based on the OTU distribution showed a clear separation between the CHB group and the control group ( figure 2 , p<0.01, PERMANOVA test). CHB patients exhibit systemic dysbiosis of gut microbiota composition.
Embodiment 2
[0101] Example 2: Disease-specific intestinal flora dysbiosis at the OTU level
[0102] In the training cohort (n=183), the inventors used linear discriminant analysis effect size (LEfSe) to identify disease-specific OTUs compared to healthy controls. For CHB, 60 outs were detected to be significantly increased or decreased, among which 12 OTUs were generally distributed in more than 50 samples (Table 2). Three OTUs enriched in CHB patients belonged to Clostridium XI and Megamonas, while nine OTUs enriched in healthy controls belonged to Butyricimonas , Bacteroides, Parabacteroides, Alistipes, Barnesiella and unclassified genera of Lachnopiraceae.
[0103] Table 2. Disease-specific OTUs determined by the linear discriminant analysis effect size (LEfSe) method
[0104]
[0105] The gut dysbiosis index (GDI) was calculated from the disease-specific and prevalent OTUs identified above to assess the clinical utility of such biomarkers. CHB-specific GDI in patients was sign...
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