Literature DB >> 28993417

Proton pump inhibitor use associated with changes in gut microbiota composition.

Kelly R Reveles1,2, Caitlin N Ryan3, Luisa Chan3, Reese A Cosimi1,4, Wanda L Haynes5.   

Abstract

Entities:  

Keywords:  intestinal microbiology; proton pump inhibition

Mesh:

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Year:  2017        PMID: 28993417      PMCID: PMC6031263          DOI: 10.1136/gutjnl-2017-315306

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


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We read with great interest the recent publications in Gut by Imhann et al and Jackson et al, which assessed the impact of proton pump inhibitor (PPI) use on gut microbiota diversity and composition in humans.1 2 PPIs are one of the most commonly used drug classes worldwide. Once initiated, they are often used chronically without clear therapeutic intent.3 PPIs alter GI pH4 and delay gastric emptying rate,5 which could directly affect gut microbiota and survival of enteric pathogens. Using three independent cohorts (211 PPI users and 1604 non-users), Imhann et al 1 reported a significant decrease in alpha diversity and changes in 20% of bacterial taxa in PPI users compared with non-users. Among 1827 healthy twins, Jackson et al 2 also found a significant decrease in alpha diversity and alteration of bacterial composition in PPI users. Notably, both studies found a higher abundance of oral commensals, including Streptococcaceae, among PPI users. These studies controlled for some potential confounders in their analyses; however, intersubject variability could have influenced their results. We assessed the impact of PPI use on the gut microbiota composition in a prospective study of healthy older adults (age ≥60 years) from San Antonio, Texas, USA. Participants provided a stool sample at baseline, completed a 14-day course of omeprazole 20 mg daily and then provided a follow-up stool sample. Stool 16 s rRNA V4 sequences were amplified and sequenced on the Illumina MiSeq platform. Sequences were clustered into operational taxonomic units (OTUs) and classified via mothur’s Bayesian classifier referenced against the Greengenes database. Abundance-weighted sample differences were calculated using the Bray-Curtis dissimilarity. PERMANOVA was used to assess the impact of PPI use on beta diversity. A total of 24 subjects completed the study (mean age 71.4 years and 62.5% women). Mean (±SD) OTU richness was similar between pre-PPI (485±84.3) and post-PPI (496±88.7) samples (p=0.32). Additionally, Shannon diversity was not statistically different between pre-PPI (3.86±0.27) and post-PPI (3.92±0.31) samples (p=0.28). Pre-PPI samples had significantly higher relative abundance of the phylum Actinobacteria and the families Lachnospiraceae, Erysipelotrichaceae and Bifidobacteriaceae (table 1). Post-PPI samples had significantly higher abundance of Streptococcaceae. Beta diversity was significantly associated with PPI use (p<0.0001).
Table 1

Comparison of taxa relative abundance in pre-PPI and post-PPI samples

Bacteria*Pre-PPI mean (SD)Post-PPI mean (SD)p Value
Phylum
Firmicutes70.70 (10.40)69.00 (10.40)0.5531
Bacteroidetes20.60 (12.30)24.00 (10.70)0.0914
Actinobacteria 4.25 (4.76) 2.35 (2.44) 0.0059
Proteobacteria2.51 (2.96)3.01 (2.55)0.2296
Verrucomicrobia1.14 (4.22)1.10 (2.80)0.7726
Euryarchaeota0.65 (1.75)0.20 (0.54)0.3242
Tenericutes0.13 (0.44)0.22 (0.71)0.2708
Cyanobacteria0.02 (0.08)0.04 (0.11)0.4591
Family
Lachnospiraceae 33.40 (20.50) 28.60 (7.70) 0.0059
Ruminococcaceae 20.50 (9.35)21.30 (7.98)0.6373
Bacteroidaceae 13.40 (10.70)14.90 (9.33)0.1961
Streptococcaceae 1.49 (1.91) 5.93 (5.30) 0.0009
Prevotellaceae 3.21 (8.23)4.09 (9.87)0.6814
Erysipelotrichaceae 4.09 (3.30) 2.74 (3.69) 0.0132
Bifidobacteriaceae 2.83 (4.39) 1.39 (2.09) 0.0275
Rikenellaceae 1.61 (1.23)2.14 (1.90)0.0914

Bold values indicate statistical significance at p<0.05.

*Table includes only the eight most commonly identified phyla and families.

PPI, proton pump inhibitor.

Comparison of taxa relative abundance in pre-PPI and post-PPI samples Bold values indicate statistical significance at p<0.05. *Table includes only the eight most commonly identified phyla and families. PPI, proton pump inhibitor. In line with our findings, Jackson et al 2 found higher Streptococcaceae and lower Lachnospiraceae and Erysipelotrichaceae abundance in PPI users compared with non-users. Imhann et al 1 also noted that PPI users had enrichment for Streptococcaceae, but a lower abundance of Bifidobacteriaceae. Of note, decreased Bifidobacterium is associated with Clostridium difficile infection (CDI),6 whereas supplementation with Bifidobacterium is associated with reduced risk of developing CDI in humans.7 Similarly, the abundance of Streptococcaceae is significantly increased in CDI, while Lachnospiraceae are reduced compared with healthy controls.8 While studies have been somewhat inconsistent, a 2012 meta-analysis of 42 studies found that PPI use was associated with an increased risk for initial and recurrent CDI.9 This led the US Food and Drug Administration to issue a drug safety warning in 2012 regarding this association. Changes in gut microbiota composition could help explain this association. Our findings, in addition to those of Imhann et al and Jackson et al, highlight the potential for PPIs to affect health through alteration of the gut microbiota and the need to limit inappropriate and unnecessary use of PPIs.
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1.  Risk of Clostridium difficile infection with acid suppressing drugs and antibiotics: meta-analysis.

Authors:  Chun Shing Kwok; Aaron Kobina Arthur; Chukwudubem Ifeanyichukwu Anibueze; Sonal Singh; Rodrigo Cavallazzi; Yoon Kong Loke
Journal:  Am J Gastroenterol       Date:  2012-04-24       Impact factor: 10.864

2.  Effect of pH and antibiotics on microbial overgrowth in the stomachs and duodena of patients undergoing percutaneous endoscopic gastrostomy feeding.

Authors:  Graeme A O'May; Nigel Reynolds; Aileen R Smith; Aileen Kennedy; George T Macfarlane
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

Review 3.  Effects of proton pump inhibitors on gastric emptying: a systematic review.

Authors:  Masaki Sanaka; Takatsugu Yamamoto; Yasushi Kuyama
Journal:  Dig Dis Sci       Date:  2009-12-10       Impact factor: 3.199

4.  Changes in predominant bacterial populations in human faeces with age and with Clostridium difficile infection.

Authors:  M J Hopkins; G T Macfarlane
Journal:  J Med Microbiol       Date:  2002-05       Impact factor: 2.472

5.  Identification of key taxa that favor intestinal colonization of Clostridium difficile in an adult Chinese population.

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Journal:  Microbes Infect       Date:  2015-09-14       Impact factor: 2.700

6.  Clinical trial: long-term use of proton pump inhibitors in primary care patients - a cross sectional analysis of 901 patients.

Authors:  C Reimer; P Bytzer
Journal:  Aliment Pharmacol Ther       Date:  2009-07-08       Impact factor: 8.171

7.  Proton pump inhibitors alter the composition of the gut microbiota.

Authors:  Matthew A Jackson; Julia K Goodrich; Maria-Emanuela Maxan; Daniel E Freedberg; Julian A Abrams; Angela C Poole; Jessica L Sutter; Daphne Welter; Ruth E Ley; Jordana T Bell; Tim D Spector; Claire J Steves
Journal:  Gut       Date:  2015-12-30       Impact factor: 23.059

8.  Effect of Bifidobacterium upon Clostridium difficile Growth and Toxicity When Co-cultured in Different Prebiotic Substrates.

Authors:  L Valdés-Varela; Ana M Hernández-Barranco; Patricia Ruas-Madiedo; Miguel Gueimonde
Journal:  Front Microbiol       Date:  2016-05-18       Impact factor: 5.640

9.  Proton pump inhibitors affect the gut microbiome.

Authors:  Floris Imhann; Marc Jan Bonder; Arnau Vich Vila; Jingyuan Fu; Zlatan Mujagic; Lisa Vork; Ettje F Tigchelaar; Soesma A Jankipersadsing; Maria Carmen Cenit; Hermie J M Harmsen; Gerard Dijkstra; Lude Franke; Ramnik J Xavier; Daisy Jonkers; Cisca Wijmenga; Rinse K Weersma; Alexandra Zhernakova
Journal:  Gut       Date:  2015-12-09       Impact factor: 23.059

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2.  Proton-pump inhibitors are associated with a high false-positivity rate in faecal immunochemical testing.

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3.  Breast Cancer: Lifestyle, the Human Gut Microbiota/Microbiome, and Survivorship.

Authors:  Balazs I Bodai; Therese E Nakata
Journal:  Perm J       Date:  2020

Review 4.  A Review of Microbiota and Irritable Bowel Syndrome: Future in Therapies.

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5.  Airborne Bacteria in Earth's Lower Stratosphere Resemble Taxa Detected in the Troposphere: Results From a New NASA Aircraft Bioaerosol Collector (ABC).

Authors:  David J Smith; Jayamary Divya Ravichandar; Sunit Jain; Dale W Griffin; Hongbin Yu; Qian Tan; James Thissen; Terry Lusby; Patrick Nicoll; Sarah Shedler; Paul Martinez; Alejandro Osorio; Jason Lechniak; Samuel Choi; Kayleen Sabino; Kathryn Iverson; Luisa Chan; Crystal Jaing; John McGrath
Journal:  Front Microbiol       Date:  2018-08-14       Impact factor: 5.640

6.  Enrichment of oral microbiota in early cystic precursors to invasive pancreatic cancer.

Authors:  Rogier Aäron Gaiser; Asif Halimi; Hassan Alkharaan; Liyan Lu; Haleh Davanian; Katie Healy; Luisa W Hugerth; Zeeshan Ateeb; Roberto Valente; Carlos Fernández Moro; Marco Del Chiaro; Margaret Sällberg Chen
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Review 8.  Human gut microbiome: hopes, threats and promises.

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Review 9.  The Phylogeny and Biological Function of Gastric Juice-Microbiological Consequences of Removing Gastric Acid.

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10.  Gastrointestinal carriage of Klebsiella pneumoniae in a general adult population: a cross-sectional study of risk factors and bacterial genomic diversity.

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