Evidence map›Paper›PMID 26667241›Full record

ArticleHelicobacter2016

Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage.

Sarah Talarico, Mahboobeh Safaeian, Paula Gonzalez, Allan Hildesheim, Rolando Herrero, Carolina Porras, Bernal Cortes, Ann Larson, Ferric C Fang, Nina R Salama

Abstract readEvaluation Study
In one paragraph

Article in Helicobacter, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Article
  3. Diagnosis and treatment ofFuture microbiology · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. The prevalence and risk factors ofMicrobiota in health and disease · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Methods for detection of Helicobacter pylori from stool sample: current options and developments.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Review
  12. Diagnosis ofDiagnostics (Basel, Switzerland) · 2021
    Review
  13. Diagnosis ofJournal of clinical medicine · 2021
    Article
  14. What Is New inJournal of clinical medicine · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Diagnosis ofJournal of pathogens · 2018
    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

10 authors at 6 institutions in 3 countries.

Sarah TalaricoDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Mahboobeh SafaeianNational Cancer Institute, NIH, Rockville, MD, USA.
Paula GonzalezProyecto Epidemiológico Guanacaste, Fundación INCIENSA, Guanacaste, Costa Rica.
Allan HildesheimNational Cancer Institute, NIH, Rockville, MD, USA.
Rolando HerreroProyecto Epidemiológico Guanacaste, Fundación INCIENSA, Guanacaste, Costa Rica.
Carolina PorrasProyecto Epidemiológico Guanacaste, Fundación INCIENSA, Guanacaste, Costa Rica.
Bernal CortesProyecto Epidemiológico Guanacaste, Fundación INCIENSA, Guanacaste, Costa Rica.
Ann LarsonClinical Microbiology Laboratory, Harborview Medical Center, Seattle, WA, USA.
Ferric C FangClinical Microbiology Laboratory, Harborview Medical Center, Seattle, WA, USA.
Nina R SalamaDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Fred Hutch Cancer Center · USGuanacaste Conservation Area · CRNational Cancer Institute · USUniversity of Washington · USCentre International de Recherche sur le Cancer · FRInstituto Costarricense de Investigación y Enseñanza en Nutrición y Salud · CR

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
HPV Vaccine TrialZIACP010217 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KREIMER, AIMEE · 2011 to 2025
$42.3M
GENETIC REQUIREMENTS OF HELICOBACTER PYLORI INFECTIONR01AI054423 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Nina Salama · 2004 to 2026
$9.5M
Shared Host Genetics and Bacterial Adaptation in the Transmission of H. pyloriK01DK090103 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TALARICO, SARAH · 2012 to 2016
$501k
NCI NIH HHS P30 CA015704NIAID NIH HHS R01 AI054423NIDDK NIH HHS K01 DK090103World Health Organization 001
6 · The paper itself

Abstract

backgroundEpidemiologic studies of the carcinogenic stomach bacterium Helicobacter pylori have been limited by the lack of noninvasive detection and genotyping methods. We developed a new stool-based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR (ddPCR), which allows for increased sensitivity and absolute quantification by PCR partitioning. MATERIALS AND

methodsStool-based ddPCR assays for H. pylori 16S gene detection and cagA virulence gene typing were tested using a collection of 50 matched stool and serum samples from Costa Rican volunteers and 29 H. pylori stool antigen-tested stool samples collected at a US hospital.

resultsThe stool-based H. pylori 16S ddPCR assay had a sensitivity of 84% and 100% and a specificity of 100% and 71% compared to serology and stool antigen tests, respectively. The stool-based cagA genotyping assay detected cagA in 22 (88%) of 25 stools from CagA antibody-positive individuals and four (16%) of 25 stools from CagA antibody-negative individuals from Costa Rica. All 26 of these samples had a Western-type cagA allele. Presence of serum CagA antibodies was correlated with a significantly higher load of H. pylori in the stool.

conclusionsThe stool-based ddPCR assays are a sensitive, noninvasive method for detection, quantification, and partial genotyping of H. pylori. The quantitative nature of ddPCR-based H. pylori detection revealed significant variation in bacterial load among individuals that correlates with presence of the cagA virulence gene. These stool-based ddPCR assays will facilitate future population-based epidemiologic studies of this important human pathogen.

Indexed as

AdolescentAdultAgedAntigens, BacterialBacterial LoadBacterial ProteinsChildChild, PreschoolCosta RicaFecesFemaleGenotyping TechniquesHelicobacter InfectionsHelicobacter pyloriHumansInfantAntigens, BacterialBacterial ProteinscagA protein, Helicobacter pyloriRNA, Ribosomal, 16SVirulence Factorsbacterial loadcagA geneDroplet digital PCRH. pyloristool-based assay

Identifiers

PMID26667241
PMCPMC4909588
OpenAlexW2214814330

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Registered trials

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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.