Evidence map›Paper›PMID 36913175›Full record

ArticlePharmacological reports : PR2023

CYP2C19 gene polymorphism in Ningxia.

Zhen Yang, Yunqian Xie, Daya Zhang, Yan Zou, Ximei Li, Runxiang Chen, Xiaodong Zhang, Shiju Chen, Feihu Bai

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In one paragraph

Article in Pharmacological reports : PR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Major Allele Frequencies inJournal of personalized medicine · 2025
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  3. Prevalence ofPharmacogenomics and personalized medicine · 2025
    Article
  4. 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

9 authors at 4 institutions in 1 country.

Zhen Yang *Department of Infectious Disease, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.ORCID http://orcid.org/0000-0001-8701-7259
Yunqian Xie *Department of Gastroenterology, The Second Affiliated Hospital of Hai Nan Medical University, Yuhai Avenue, #368, Longhua District, Haikou, Hainan Province, China.
Daya Zhang *Graduate School, Hainan Medical University, Haikou, China.ORCID http://orcid.org/0000-0001-6133-8919
Yan ZouThe Third School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.ORCID http://orcid.org/0000-0003-3379-2369
Ximei LiThe Third School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Runxiang ChenGraduate School, Hainan Medical University, Haikou, China.
Xiaodong ZhangGraduate School, Hainan Medical University, Haikou, China.
Shiju ChenGraduate School, Hainan Medical University, Haikou, China.
Feihu BaiDepartment of Gastroenterology, The Second Affiliated Hospital of Hai Nan Medical University, Yuhai Avenue, #368, Longhua District, Haikou, Hainan Province, China. baifeihu_hy@163.com.ORCID http://orcid.org/0000-0002-1560-6131
Hainan Medical University · CNNingxia Medical University · CNHainan Medical College Hospital · CNThe Fourth People's Hospital of Ningxia Hui Autonomous Region · CN

Funding

Hainan Province Clinical Medical Center 2021818Hainan Provincial Health Industry Research Project 22A200078Hainan Provincial Postgraduate Innovation Research Project Qhyb2022-133the specific research fund of The Innovation Platform for Academicians of Hainan Province 2022136
6 · The paper itself

Abstract

backgroundPoor metabolizer (PM) status of CYP2C19 can be a predisposing factor for developing gastric cancer in H. pylori-infected patients. It is unclear whether PM status of CYP2C19 can also be a potential factor for H.pylori infection in healthy people.

methodsWe used high-throughput sequencing to detect single nucleotide polymorphisms (SNPs) at just three loci, rs4244285 (CYP2C19*2), rs4986893 (CYP2C19*3) and rs12248560 (CYP2C19*17), to identify the exact CYP2C19 alleles corresponding to the mutated sites. We determined CYP2C19 genotypes of 1050 subjects from 5 cities of Ningxia from September 2019 to September 2020 and evaluated the potential correlation between H.pylori and CYP2C19 gene polymorphisms. Clinical data were analyzed using χ2 tests.

resultsThe frequency of CYP2C19*17 in Hui (3.7%) was higher as compared to Han (1.4%) in Ningxia (p = 0.001). The frequency of CYP2C19*1/*17 of Hui (4.7%) was higher as compared to Han (1.6%) in Ningxia (p = 0.004). The frequency of CYP2C19*3/*17 of Hui (1%) was higher as compared to Han (0%) in Ningxia (p = 0.023). The frequencies of alleles (p = 0.142) and genotypes (p = 0.928) were not found to be significantly different among the different BMI groups. The frequencies of four alleles between H. pylori positive and negative groups were not found to be statistically different (p = 0.794). The frequencies of the different genotypes between H. pylori positive and negative groups were not statistically different (p = 0.974), and no statistical difference was observed between the different metabolic phenotypes (p = 0.494).

conclusionThere were regional differences observed in CYP2C19*17 distribution in Ningxia. The frequency of CYP2C19*17 in Hui was higher than in Han of Ningxia. No significant relationship was found between CYP2C19 gene polymorphism and susceptibility to H. pylori infection.

Indexed as

Helicobacter InfectionsPolymorphism, Single NucleotideCytochrome P-450 CYP2C19East Asian PeopleGene FrequencyGenotypeHumansPhenotypeCYP2C19 protein, humanCytochrome P-450 CYP2C19CYP2C19H. pyloriInfectious diseasePolymorphism

Identifiers

PMID36913175
OpenAlexW4324018378

What OpenQuestion holds

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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.