14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Human Gastric Microbiome Is Predicated upon Infection with Helicobacter pylori

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The human gastric lumen is one of the most hostile environments of the human body suspected to be sterile until the discovery of Helicobacter pylori (H.p.). State of the art next generation sequencing technologies multiply the knowledge on H.p. functional genomics as well as on the colonization of supposed sterile human environments like the gastric habitat. Here we studied in a prospective, multicenter, clinical trial the 16S rRNA gene amplicon based bacterial microbiome in a total of 30 homogenized and frozen gastric biopsy samples from eight geographic locations. The evaluation of the samples for H.p. infection status was done by histopathology and a specific PCR assay. CagA status was determined by a CagA-specific PCR assay. Patients were grouped accordingly as H.p.-negative, H.p.-positive but CagA-negative and H.p.-positive and CagA-positive ( n = 10, respectively). Here we show that H.p. infection of the gastric habitat dominates the gastric microbiota in most patients and is associated with a significant decrease of the microbial alpha diversity from H.p. negative to H.p. positive with CagA as a considerable factor. The genera Actinomyces, Granulicatella, Veillonella, Fusobacterium, Neisseria, Helicobacter, Streptococcus , and Prevotella are significantly different between the H.p.-positive and H.p.-negative sample groups. Differences in microbiota found between CagA-positive and CagA-negative patients were not statistically significant and need to be re-evaluated in larger sample cohorts. In conclusion, H.p. infection dominates the gastric microbiome in a multicentre cohort of patients with varying diagnoses.

          Related collections

          Most cited references52

          • Record: found
          • Abstract: not found
          • Article: not found

          QIIME allows analysis of high-throughput community sequencing data.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              UCHIME improves sensitivity and speed of chimera detection

              Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Internal Transcribed Spacer) to assess diversity or compare populations. Undetected chimeras may be misinterpreted as novel species, causing inflated estimates of diversity and spurious inferences of differences between populations. Detection and removal of chimeras is therefore of critical importance in such experiments. Results: We describe UCHIME, a new program that detects chimeric sequences with two or more segments. UCHIME either uses a database of chimera-free sequences or detects chimeras de novo by exploiting abundance data. UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences. In testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus. UCHIME is >100× faster than Perseus and >1000× faster than ChimeraSlayer. Contact: robert@drive5.com Availability: Source, binaries and data: http://drive5.com/uchime. Supplementary information: Supplementary data are available at Bioinformatics online.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                14 December 2017
                2017
                : 8
                : 2508
                Affiliations
                [1] 1Center for Medical Research, Medical University of Graz , Graz, Austria
                [2] 2Division of Infectious Diseases, Department of Medicine I, Medical University of Vienna , Vienna, Austria
                [3] 3Division of Gastroenterology and Hepatology, Department of Internal Medicine, Medical University of Graz , Graz, Austria
                [4] 4Department of Internal Medicine II, St. John's Hospital Eisenstadt , Eisenstadt, Austria
                [5] 5Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University Vienna , Vienna, Austria
                [6] 6Institute of Computational Biotechnology, Graz University of Technology , Graz, Austria
                [7] 7BioTechMed OMICS Center Graz , Graz, Austria
                Author notes

                Edited by: John W. A. Rossen, University Medical Center Groningen, Netherlands

                Reviewed by: Carina Almeida, Instituto Nacional de Investigação Agrária e Veterinária, Portugal; Angel Lanas, University of Zaragoza, Spain

                *Correspondence: Christoph Steininger christoph.steininger@ 123456meduniwien.ac.at

                This article was submitted to Infectious Diseases, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2017.02508
                5735373
                29312210
                16c935da-f62e-4127-b456-e1e21bed5388
                Copyright © 2017 Klymiuk, Bilgilier, Stadlmann, Thannesberger, Kastner, Högenauer, Püspök, Biowski-Frotz, Schrutka-Kölbl, Thallinger and Steininger.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 August 2017
                : 01 December 2017
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 51, Pages: 12, Words: 7873
                Funding
                Funded by: Austrian Science Fund 10.13039/501100002428
                Award ID: P25353-B21
                Award ID: P28102-B30
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                helicobacter pylori,caga,gastric microbiota,multicenter study,16s rrna gene analysis

                Comments

                Comment on this article