Evidence map›Paper›PMID 27189958›Full record

ArticleJournal of clinical pathology2016

Helicobacter pylori vacA transcription is genetically-determined and stratifies the level of human gastric inflammation and atrophy.

Charlotte G Sinnett, Darren P Letley, Geetha L Narayanan, Sapna R Patel, Nawfal R Hussein, Abed M Zaitoun, Karen Robinson, John C Atherton

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. CD103 Promotes the Pro-inflammatory Response of Gastric Resident CD4Frontiers in cellular and infection microbiology · 2020
    Article
  4. BioMed research international · 2019
    Review
  5. Review
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

8 authors at 2 institutions in 1 country.

Charlotte G SinnettNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Darren P LetleyNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Geetha L NarayananNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Sapna R PatelNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Nawfal R HusseinNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Abed M ZaitounDepartment of Cellular Pathology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Karen RobinsonNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
John C AthertonNIHR Biomedical Research Unit in Gastrointestinal and Liver Diseases at Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, University of Nottingham, Nottingham, UK.
Nottingham University Hospitals NHS Trust · GBUniversity of Nottingham · GB

Funding

Medical Research Council G0601170Medical Research Council MR/N005953/1Wellcome Trust
6 · The paper itself

Abstract

aimsHelicobacter pylori infection is the major cause of peptic ulceration and gastric cancer, and an important virulence determinant is its vacuolating cytotoxin vacA. Previously, we have described allelic variation in vacA which determines toxin activity and disease risk. Here we aimed to quantify vacA mRNA expression in the human stomach, define its genetic determinants and assess how well it predicts gastric pathology.

methodsGastric biopsies were donated by 39 patients with H. pylori infection attending for endoscopy at Queen's Medical Centre, Nottingham, UK. Total RNA was extracted, and vacA mRNA quantified by reverse transcriptase quantitative PCR. Separate biopsies were histologically scored for inflammation and atrophy using the updated Sydney system. H. pylori strains were isolated from further biopsies, and the nucleotide sequence upstream of vacA determined.

resultsvacA mRNA levels in human stomachs varied by two orders of magnitude independently of vacA allelic type. Among vacA i1-type (toxic) strains, increased vacA expression was strongly associated with higher grade gastric inflammation (p<0.02), neutrophil infiltration (p<0.005) and the presence of atrophy (p<0.01). A polymorphism at nucleotide +28 near the base of a potential stem-loop structure within the 5' untranslated region was significantly associated with vacA transcript level and inflammation.

conclusionsIncreased gastric vacA expression during H. pylori infection is associated with inflammation and premalignant pathology. The +28 nucleotide within the vacA 5' stem-loop stratifies disease risk among toxic vacA i1-type strains.

Indexed as

GASTRIC PATHOLOGYHELICOBACTER PYLORIINFLAMMATIONMICROBIAL PATHOGENICTOXIN

Identifiers

PMID27189958
PMCPMC5136723
OpenAlexW2344472203

What OpenQuestion 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 OpenQuestion graph.