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Effects of Proton Pump Inhibitors on the Gastric Mucosa-Associated Microbiota in Dyspeptic Patients
Open accessAbstract
Besides being part of anti- Helicobacter pylori treatment regimens, proton pump inhibitors (PPIs) are increasingly being used to treat dyspepsia. However, little is known about the effects of PPIs on the human gastric microbiota, especially those related to H. pylori infection. The goal of this study was to characterize the stomach microbial communities in patients with dyspepsia and to investigate their relationships with PPI use and H. pylori status. Using 16S rRNA gene pyrosequencing, we analyzed the mucosa-associated microbial populations of 24 patients, of whom 12 were treated with the PPI omeprazole and 9 (5 treated and 4 untreated) were positive for H. pylori infection. The Proteobacteria , Firmicutes , Bacteroidetes , Fusobacteria , and Actinobacteria phyla accounted for 98% of all of the sequences, with Helicobacter , Streptococcus , and Prevotella ranking among the 10 most abundant genera. H. pylori infection or PPI treatment did not significantly influence gastric microbial species composition in dyspeptic patients. Principal-coordinate analysis of weighted UniFrac distances in these communities revealed clear but significant separation according to H. pylori status only. However, in PPI-treated patients, Firmicutes , particularly Streptococcaceae , were significantly increased in relative abundance compared to those in untreated patients. Consistently, Streptococcus was also found to significantly increase in relation to PPI treatment, and this increase seemed to occur independently of H. pylori infection. Our results suggest that Streptococcus may be a key indicator of PPI-induced gastric microbial composition changes in dyspeptic patients. Whether the gastric microbiota alteration contributes to dyspepsia needs further investigation. IMPORTANCE Although PPIs have become a popular treatment choice, a growing number of dyspeptic patients may be treated unnecessarily. We found that patients treated with omeprazole showed gastric microbial communities that were different from those of untreated patients. These differences regarded the abundances of specific taxa. By understanding the relationships between PPIs and members of the gastric microbiota, it will be possible to envisage new strategies for better managing patients with dyspepsia.
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“The primary abundance of Streptococcaceae was also demonstrated in dyspeptic patients during PPI treatment, suggesting that this ecological switch in favor of Streptococcaceae could be an independent indicator of gastric dysbiosis due to these drugs[59].”
From Proton pump inhibitors and dysbiosis: current knowledge and aspects to be clarified (2019) · cites this paper as [59]
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Charley, K. R., Jimenez, N. R., Łaniewski, P., Herbst‐Kralovetz, M. M., Cope, E. K., Monroy, F. P., Ingram, J. C., & Lee, N. (2026) · Springer eBooks · doi:10.1007/978-3-032-17296-9_3
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Metadata
- Authors
- Paroni Sterbini, F., Palladini, A., Masucci, L., Cannistraci, C. V., Pastorino, R., Ianiro, G., Bugli, F., Martini, C., Ricciardi, W., Gasbarrini, A., Sanguinetti, M., Cammarota, G., & Posteraro, B.
- Affiliations
- Institute of Microbiology, Università Cattolica del Sacro Cuore, Rome, Italy
- Università Cattolica del Sacro Cuore (IT)
- Biotechnologisches Zentrum (DE)
- ORCID
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2016-11-15
- Volume
- 82
- Issue
- 22
- Pages
- 6633-6644
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC5086557
- OpenAlex
- W2517918142
- Cited by
- 108
- References
- 60
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 10 · 2023: 11 · 2022: 11 · 2021: 18 · 2020: 12 · 2019: 14 · 2018: 6 · 2017: 8
- FWCI
- 10.34
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Università Cattolica del Sacro Cuore (Linea D1, Linea D3.2-2013)
- Technische Universität Dresden
- Topics
- Health Sciences › Medicine › Gastroenterology › Helicobacter pylori-related gastroenterology studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- proton pump inhibitors, omeprazole, dyspepsia, gastric microbiota, Helicobacter pylori infection, Streptococcus, Streptococcaceae, Firmicutes, Helicobacter, dyspepsia treatment
- MeSH terms
- Firmicutes, Bacillota, Gastrointestinal Microbiome, Adult, Aged, Anti-Bacterial Agents, Bacteria, Dyspepsia, Female, Gastric Mucosa, Humans, Middle Aged, Omeprazole, RNA, Ribosomal, 16S, Streptococcus, Helicobacter pylori, Helicobacter Infections, Genes, rRNA, Proteobacteria, Bacteroidetes, Proton Pump Inhibitors, High-Throughput Nucleotide Sequencing
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