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

Huixia Chen

Huixia Chen

  • Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical UniversityNanjing, China
  • Jiangsu Key Laboratory of Oral Diseases, Affiliated Hospital of Stomatology, Nanjing Medical UniversityNanjing, China
  • Department of Orthodontics, Changzhou Traditional Chinese Medicine HospitalChangzhou, China
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Chen, Huixia
, 
Hui Xie

Hui Xie

Department of Orthodontics, Changzhou Traditional Chinese Medicine HospitalChangzhou, China
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Xie, Hui
, 
Dong Shao

Dong Shao

The Third Affiliated Hospital of Soochow University, The First People’s Hospital of ChangzhouChangzhou, China
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Shao, Dong
, 
Liju Chen

Liju Chen

Department of Orthodontics, Changzhou Traditional Chinese Medicine HospitalChangzhou, China
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Chen, Liju
, 
Siyu Chen

Siyu Chen

State Key Laboratory of Natural Medicines and School of Life Science and Technology, China Pharmaceutical UniversityNanjing, China
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Chen, Siyu
, 
Lin Wang

Lin Wang

Jiangsu Key Laboratory of Oral Diseases, Affiliated Hospital of Stomatology, Nanjing Medical UniversityNanjing, China
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Wang, Lin
 y 
Xiao Han

Xiao Han

Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical UniversityNanjing, China
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Han, Xiao
  
31 may 2022
Oral Microbiota, a Potential Determinant for the Treatment Efficacy of Gastric Helicobacter pylori Eradication in Humans's Cover Image
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Categoría del artículo: Original Paper
Publicado en línea: 31 may 2022
Páginas: 227 - 239
Recibido: 05 ene 2022
Aceptado: 22 mar 2022
DOI: https://doi.org/10.33073/pjm-2022-020
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© 2022 Huixia Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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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.
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