Abstract
Background
Poor 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.
Methods
We 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.
Results
The 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).
Conclusion
There 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.
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Availability of data and materials
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Abbreviations
- CPIC:
-
Clinical pharmacogenetics implementation consortium
- CI:
-
Confidence interval
- GERD:
-
Gastroesophageal reflux disease
- HP:
-
Helicobacter pylori
- IM:
-
Intermediate metabolizers
- NM:
-
Normal metabolizers
- PCR:
-
Polymerase chain reaction
- PharmGKB:
-
Pharmacogenetics and pharmacogenomics knowledge base
- PM:
-
Poor metabolizers
- PPIs:
-
Proton pump inhibitors
- RM:
-
Rapid metabolizers
- SNP:
-
Single nucleotide polymorphism
- UM:
-
Ultrarapid metabolizers
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Funding
This work was supported by Hainan Province Clinical Medical Center (No. 2021818)、the specific research fund of The Innovation Platform for Academicians of Hainan Province (No. 2022136), Hainan Provincial Health Industry Research Project (22A200078) and Hainan Provincial Postgraduate Innovation Research Project (Qhyb2022-133).
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ZY and FH-B participated in the design of this study. YQ-X and DY-Z supervised research. Y Z and XM-L performed research. Y Z, XM-L, RX-C, XD-Z, and SJ-C analyzed data. ZY, YQ-X, DY-Z, and FH-B drafted the manuscript. All authors read and approved the final manuscript.
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The protocol was approved in advance by the Human Institutional Review Board of the Outdo China Center for H. pylori Molecular Medicine (YB M-05-01) and performed per Helsinki's Declaration. All participants provided written informed consent for data collection and storage.
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Yang, Z., Xie, Y., Zhang, D. et al. CYP2C19 gene polymorphism in Ningxia. Pharmacol. Rep 75, 705–714 (2023). https://doi.org/10.1007/s43440-023-00473-5
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DOI: https://doi.org/10.1007/s43440-023-00473-5