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Oral Microbiota, a Potential Determinant for the Treatment Efficacy of Gastric Helicobacter pylori Eradication in Humans

Huixia Chen
Huixia Chen
, 
Hui Xie
Hui Xie
, 
Dong Shao
Dong Shao
, 
Liju Chen
Liju Chen
, 
Siyu Chen
Siyu Chen
, 
Lin Wang
Lin Wang
 oraz 
Xiao Han
Xiao Han
   | 31 maj 2022
Polish Journal of Microbiology's Cover Image
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Article Category: Original Paper
Data publikacji: 31 maj 2022
Zakres stron: 227 - 239
Otrzymano: 05 sty 2022
Przyjęty: 22 mar 2022
DOI: https://doi.org/10.33073/pjm-2022-020
Słowa kluczowe
© 2022 Huixia Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Sample collection and qualification of 16S rRNA sequencing.A) A schematic diagram illustrating the sample collection process; B) rarefaction curve analysis; C) specaccum curve analyses; D) rank abundance analysis; n = 7 for the SE group, n = 9 for the FE group; FE – failure eradication, SE – successful eradication, HP – Helicobacter pylori.
Sample collection and qualification of 16S rRNA sequencing.A) A schematic diagram illustrating the sample collection process; B) rarefaction curve analysis; C) specaccum curve analyses; D) rank abundance analysis; n = 7 for the SE group, n = 9 for the FE group; FE – failure eradication, SE – successful eradication, HP – Helicobacter pylori.

Fig. 2

α and β Diversity analyses.A) Observed species, Chao1 richness, ACE index, Shannon index, Simpson index, and J index were calculated for α diversity of the oral microbiota.
α and β Diversity analyses.A) Observed species, Chao1 richness, ACE index, Shannon index, Simpson index, and J index were calculated for α diversity of the oral microbiota.

Fig. 2

α and β Diversity analyses.B) PCoA analysis for β diversity of the oral microbiota; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.
α and β Diversity analyses.B) PCoA analysis for β diversity of the oral microbiota; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.

Fig. 3

Component analysis of community structure.A) Relative abundances of the ten most abundant bacterial phyla in the FE and SE groups; B) relative abundances of the indicated individuals’ ten most abundant bacterial phyla; C) t-test analysis comparing oral microbiota composition between the FE and SE groups.
Component analysis of community structure.A) Relative abundances of the ten most abundant bacterial phyla in the FE and SE groups; B) relative abundances of the indicated individuals’ ten most abundant bacterial phyla; C) t-test analysis comparing oral microbiota composition between the FE and SE groups.

Fig. 3

Component analysis of community structure.D) cladogram generated from LEfSe analysis.
Component analysis of community structure.D) cladogram generated from LEfSe analysis.

Fig. 3

Component analysis of community structure.E) LDA scores of significantly altered taxa presented in panel D; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.
Component analysis of community structure.E) LDA scores of significantly altered taxa presented in panel D; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.

Fig. 4

Correlation analysis of microbial environmental factors.A) RDA analysis comparing OTUs between the FE and SE groups.
Correlation analysis of microbial environmental factors.A) RDA analysis comparing OTUs between the FE and SE groups.

Fig. 4

Correlation analysis of microbial environmental factors.E) KEGG analysis diagram; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.
Correlation analysis of microbial environmental factors.E) KEGG analysis diagram; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.

Fig. 4

Correlation analysis of microbial environmental factors.B) heat map analysis based on RDA analysis showing the abundance of 14 OTUs influenced by Helicobacter pylori infection.
Correlation analysis of microbial environmental factors.B) heat map analysis based on RDA analysis showing the abundance of 14 OTUs influenced by Helicobacter pylori infection.

Fig. 4

Correlation analysis of microbial environmental factors.C) correlations of the abundances of 14 OTUs with DOB values, ages, sex, and treatment status in patients from either FE or SE groups;*p < 0.05, **p < 0.01; PICRUSt2 function prediction of changed OTUs; D) PCA analysis.
Correlation analysis of microbial environmental factors.C) correlations of the abundances of 14 OTUs with DOB values, ages, sex, and treatment status in patients from either FE or SE groups;*p < 0.05, **p < 0.01; PICRUSt2 function prediction of changed OTUs; D) PCA analysis.

Fig. 5

Venn analysis revealing differently affected and overlapping OTUs between the FE and SE groups; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.
Venn analysis revealing differently affected and overlapping OTUs between the FE and SE groups; n = 7 for the SE group, n = 9 for the FE group; SE – patients with successful eradication therapy, FE – patients with failed eradication therapy.
eISSN:
2544-4646
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Life Sciences, Microbiology and Virology
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