Evidence map›Paper›PMID 27656172›Full record

ArticleFrontiers in microbiology2016

Validation of a High-Throughput Multiplex Genetic Detection System for Helicobacter pylori Identification, Quantification, Virulence, and Resistance Analysis.

Yanmei Zhang, Fuju Zhao, Mimi Kong, Shiwen Wang, Li Nan, Binjie Hu, Michal A Olszewski, Yingxin Miao, Danian Ji, Wenrong Jiang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Helicobacter pylori in oral cavity: current knowledge.Clinical and experimental medicine · 2024
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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

16 authors at 4 institutions in 2 countries.

Yanmei ZhangDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan UniversityShanghai, China; Key Laboratory of Clinical Geriatric MedicineShanghai, China; Research Center on Aging and Medicine, Fudan UniversityShanghai, China.
Fuju ZhaoDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Mimi KongNingbo HEALTH Gene Technologies Co., Ltd Ningbo, China.
Shiwen WangDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Li NanNingbo HEALTH Gene Technologies Co., Ltd Ningbo, China.
Binjie HuDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Michal A OlszewskiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System and Research Service, VA Ann Arbor Healthcare System, Ann Arbor MI, USA.
Yingxin MiaoDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Danian JiDigestive Endoscopic Center, Huadong Hospital affiliated to Fudan University Shanghai, China.
Wenrong JiangDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Yi FangDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Jinghao ZhangDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Fei ChenDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan University Shanghai, China.
Ping XiangDigestive Endoscopic Center, Huadong Hospital affiliated to Fudan University Shanghai, China.
Yong WuNingbo HEALTH Gene Technologies Co., Ltd Ningbo, China.
Hu ZhaoDepartment of Laboratory Medicine, Huadong Hospital affiliated to Fudan UniversityShanghai, China; Key Laboratory of Clinical Geriatric MedicineShanghai, China; Research Center on Aging and Medicine, Fudan UniversityShanghai, China.
Huadong Hospital · CNFudan University · CNMichigan Medicine · USYangPu Geriatric Hospital · CN

Funding

Modulation of Pulmonary Defenses in Pathobiology of Chronic InfectionsI01BX000656 · VA · VETERANS HEALTH ADMINISTRATION · PI OLSZEWSKI, MICHAL A · 2011 to 2025
–
BLRD VA I01 BX000656BLRD VA IK6 BX003615
6 · The paper itself

Abstract

Helicobacter pylori (H. pylori) infection is closely related to various gastroduodenal diseases. Virulence factors and bacterial load of H. pylori are associated with clinical outcomes, and drug-resistance severely impacts the clinical efficacy of eradication treatment. Existing detection methods are low-throughput, time-consuming and labor intensive. Therefore, a rapid and high-throughput method is needed for clinical diagnosis, treatment, and monitoring for H. pylori. High-throughput Multiplex Genetic Detection System (HMGS) assay was established to simultaneously detect and analyze a set of genes for H. pylori identification, quantification, virulence, and drug resistance by optimizing the singlet-PCR and multiple primers assay. Twenty-one pairs of chimeric primers consisted of conserved and specific gene sequences of H. pylori tagged with universal sequence at the 5' end were designed. Singlet-PCR assay and multiple primers assay were developed to optimize the HMGS. The specificity of HMGS assay was evaluated using standard H. pylori strains and bacterial controls. Six clinical isolates with known genetic background of target genes were detected to assess the accuracy of HMGS assay. Artificial mixed pathogen DNA templates were used to evaluate the ability to distinguish mixed infections using HMGS assay. Furthermore, gastric biopsy specimens with corresponding isolated strains were used to assess the capability of HMGS assay in detecting biopsy specimens directly. HMGS assay was specific for H. pylori identification. HMGS assay for H. pylori target genes detection were completely consistent with the corresponding genetic background. Mixed infection with different drug-resistant isolates of H. pylori could be distinguished by HMGS assay. HMGS assay could efficiently diagnose H. pylori infection in gastric biopsy specimens directly. HMGS assay is a rapid and high throughput method for the simultaneous identification and quantification of H. pylori, analysis of virulence and drug resistance in both isolated strains and biopsy specimens. It could also be used to distinguish the mixed infection with different resistant genotype strains. Furthermore, HMGS could detect H. pylori infection in gastric biopsy specimens directly.

Indexed as

Helicobacter pylorihigh-throughput multiplex genetic detection systemidentificationmixed infectionquantificationresistance genesvirulence

Identifiers

PMID27656172
PMCPMC5013035
OpenAlexW2528826428

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.