Cited by 121Gut microbiota and healthGastrointestinal motility and disordersClostridium difficile and Clostridium perfringens research

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

The influence of long-term use of proton pump inhibitors on the gut microbiota: an age-sex-matched case-control study

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Abstract

Proton pump inhibitors (PPIs) are widely used to treat gastro-esophageal reflux and prevent gastric ulcers, and have been considered as low risk. However, recent studies have identified possible associations between PPI use and gut microbiota, suggesting that PPIs use increases the risk of enteric infections, including Clostridium difficile infection. To investigate gut microbiota in Japanese PPIs users, we conducted 16S metagenomics analysis of fecal samples collected from PPI users and healthy adults. In total, 36 PPI users and 36 PPI non-users (as control subjects) matched by age and sex were recruited and fecal samples were obtained to analyze the gut microbiome using 16S rRNA gene sequencing. There were significant differences in the microbial structure between PPI non-users and PPI users. In contrast, the analysis of α-diversity revealed no significant differences between PPI non-users and PPI users. When comparing in genus level between these two groups, the genera Streptococcus was significantly abundant and the genera Faecalibacterium was significantly decreased in PPI users. Our findings indicate a probable association between PPI use and the alternation of microbiota. These alterations might provide a mechanism by which PPIs predispose enteric infection such as Clostridium difficile infection.

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Crossref · 10.3164/jcbn.17-78

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Figures

Fig. 1 Principal coordinate analysis (PCoA) plots of PPI non-users vs PPI users. Distances were calculated with unweighted and weighted UniFrac. Distances between PPI non-users and PPI users were significantly different (p<0.05 with PERMANOVA tests).
Fig. 1 Principal coordinate analysis (PCoA) plots of PPI non-users vs PPI users. Distances were calculated with unweighted and weighted UniFrac. Distances between PPI non-users and PPI users were significantly different (p<0.05 with PERMANOVA tests).CC BY · PubMed Central
Fig. 2 The α-diversity indices between PPI non-users and PPI users. We compared α-diversity indices [the observed species and the Chao 1 index (OTU richness estimation), and the Shannon index (OTU evenness estimation)] using Student’s unpaired t tests.
Fig. 2 The α-diversity indices between PPI non-users and PPI users. We compared α-diversity indices [the observed species and the Chao 1 index (OTU richness estimation), and the Shannon index (OTU evenness estimation)] using Student’s unpaired t tests.CC BY · PubMed Central
Fig. 3 Comparative analyses of the taxonomic composition of the microbial community at the phylum level. (A) Each component of the cumulative bar chart indicates a phylum. (B) The representative phyla (Firmicutes, Bacteroidetes, Proteobacteria and Actinobacteria) were evaluated between PPI non-users and PPI users using Student’s unpaired t tests.
Fig. 3 Comparative analyses of the taxonomic composition of the microbial community at the phylum level. (A) Each component of the cumulative bar chart indicates a phylum. (B) The representative phyla (Firmicutes, Bacteroidetes, Proteobacteria and Actinobacteria) were evaluated between PPI non-users and PPI users using Student’s unpaired t tests.CC BY · PubMed Central
Fig. 4 Comparative analyses of the taxonomic composition of the microbial community at the genus level. The significant different genera between PPI non-users and PPI users were presented.
Fig. 4 Comparative analyses of the taxonomic composition of the microbial community at the genus level. The significant different genera between PPI non-users and PPI users were presented.CC BY · PubMed Central
Fig. 5 The relative abundance of functional pathways in gut microbiota between PPI non-users and PPI users. The KEGG database functional categories are shown with the displayed histograms (left panel: means) and q-value determinations (right panel: 95% confidence intervals).
Fig. 5 The relative abundance of functional pathways in gut microbiota between PPI non-users and PPI users. The KEGG database functional categories are shown with the displayed histograms (left panel: means) and q-value determinations (right panel: 95% confidence intervals).CC BY · PubMed Central

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Metadata

Authors
Takagi, T., Naito, Y., Inoue, R., Kashiwagi, S., Uchiyama, K., Mizushima, K., Tsuchiya, S., Okayama, T., Dohi, O., Yoshida, N., Kamada, K., Ishikawa, T., Handa, O., Konishi, H., Okuda, K., Tsujimoto, Y., Ohnogi, H., & Itoh, Y.
Affiliations
  • Kyoto Prefectural University of Medicine (JP)
  • Laboratory of Animal Science, Kyoto Prefectural University
  • Takara BIO Inc. (Japan) (JP)
Corresponding author
Takagi, Tomohisa
Venue
Journal of Clinical Biochemistry and Nutrition
Published
2018
Volume
62
Issue
1
Pages
100-105
ISSN
  • 0912-0009 (ISSN-L)
  • 1880-5086
OpenAlex
W2771725285
Cited by
121
References
23
Citations by year
2026: 5 · 2025: 10 · 2024: 9 · 2023: 11 · 2022: 20 · 2021: 9 · 2020: 20 · 2019: 22 · 2018: 15
FWCI
6.37
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Biochemistry and Nutrition (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Agriculture and Food Research Organization
  • Japan Society for the Promotion of Science (16K09322, 16H05289)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
Keywords
proton pump inhibitors, gut microbiota, Clostridium difficile infection, gastrointestinal infections, Faecalibacterium, Streptococcus, microbial diversity, fecal microbiota, long-term drug use, Japanese adults

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