Evidence map›Paper›PMID 37200323›Full record

ArticlePloS one2023

Gastric microbiome changes in relation with Helicobacter pylori resistance.

Astri Dewayani, Kartika Afrida Fauzia, Ricky Indra Alfaray, Langgeng Agung Waskito, Dalla Doohan, Purwo Sri Rejeki, Mohammed Abdullah Alshawsh, Yudith Annisa Ayu Rezkitha, Yoshio Yamaoka, Muhammad Miftahussurur

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The impact ofFrontiers in cellular and infection microbiology · 2025
    Pooled it
  2. Article
  3. Review
  4. Open life sciences · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Astri DewayaniOita University Faculty of Medicine, Department of Infectious Disease Control, Yufu, Oita, Japan.ORCID 0000-0001-9577-8373
Kartika Afrida FauziaInstitute of Tropical Disease, Helicobacter pylori and Microbiota Study Group, Universitas Airlangga, Surabaya, Indonesia.
Ricky Indra AlfarayInstitute of Tropical Disease, Helicobacter pylori and Microbiota Study Group, Universitas Airlangga, Surabaya, Indonesia.
Langgeng Agung WaskitoInstitute of Tropical Disease, Helicobacter pylori and Microbiota Study Group, Universitas Airlangga, Surabaya, Indonesia.
Dalla DoohanFaculty of Medicine, Department of Anatomy, Histology and Pharmacology, Universitas Airlangga, Surabaya, Indonesia.
Purwo Sri RejekiFaculty of Medicine, Department of Medical Physiology and Biochemistry, Universitas Airlangga, Surabaya, Indonesia.
Mohammed Abdullah AlshawshFaculty of Medicine, Department of Pharmacology, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0001-8342-5183
Yudith Annisa Ayu RezkithaInstitute of Tropical Disease, Helicobacter pylori and Microbiota Study Group, Universitas Airlangga, Surabaya, Indonesia.
Yoshio YamaokaOita University Faculty of Medicine, Department of Environmental and Preventive Medicine, Yufu, Oita, Japan.
Muhammad MiftahussururInstitute of Tropical Disease, Helicobacter pylori and Microbiota Study Group, Universitas Airlangga, Surabaya, Indonesia.ORCID 0000-0003-1415-6033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInadequate antimicrobial treatment has led to multidrug-resistant (MDR) bacteria, including Helicobacter pylori (H. pylori), which one of the notable pathogens in the stomach. Antibiotic-induced changes in the microbiota can negatively affect the host. This study aimed to determine the influence of H. pylori resistance on the diversity and abundance of the stomach microbiome.

methodsBacterial DNA was extracted from biopsy samples of patients presenting dyspepsia symptoms with H. pylori positive from cultures and histology. DNA was amplified from the V3-V4 regions of the 16S rRNA gene. In-vitro E-test was used to detect antibiotic resistance. Microbiome community analysis was conducted through α-diversity, β-diversity, and relative abundance.

resultsSixty-nine H. pylori positive samples were eligible after quality filtering. Following resistance status to five antibiotics, samples were classified into 24 sensitive, 24 single resistance, 16 double resistance, 5 triple resistance. Samples were mostly resistant to metronidazole (73.33%; 33/45). Comparation of four groups displayed significantly elevated α-diversity parameters under the multidrug resistance condition (all P <0.05). A notable change was observed in triple-resistant compared to sensitive (P <0.05) and double-resistant (P <0.05) groups. Differences in β-diversity by UniFrac and Jaccard were not significant in terms of the resistance (P = 0.113 and P = 0.275, respectively). In the triple-resistant group, the relative abundance of Helicobacter genera was lower, whereas that of Streptococcus increased. Moreover, the linear discriminant analysis effect size (LEfSe) was associated with the presence of Corynebacterium and Saccharimonadales in the single-resistant group and Pseudomonas and Cloacibacterium in the triple-resistant group.

conclusionOur results suggest that the resistant samples showed a higher trend of diversity and evenness than the sensitive samples. The abundance of H. pylori in the triple-resistant samples decreased with increasing cohabitation of pathogenic bacteria, which may support antimicrobial resistance. However, antibiotic susceptibility determined by the E-test may not completely represent the resistance status.

Indexed as

Gastrointestinal MicrobiomeHelicobacter InfectionsHelicobacter pyloriAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialHumansRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16S

Identifiers

PMID37200323
PMCPMC10194900

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.