CYP2C19 gene polymorphism in Ningxia
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 sequen...
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Published in | Pharmacological reports Vol. 75; no. 3; pp. 705 - 714 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
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Springer International Publishing
01.06.2023
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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. |
---|---|
AbstractList | 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.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.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.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.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).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).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.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. 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. 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. 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). 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. 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. |
Author | Yang, Zhen Zou, Yan Zhang, Daya Zhang, Xiaodong Bai, Feihu Chen, Runxiang Xie, Yunqian Li, Ximei Chen, Shiju |
Author_xml | – sequence: 1 givenname: Zhen orcidid: 0000-0001-8701-7259 surname: Yang fullname: Yang, Zhen organization: Department of Infectious Disease, People’s Hospital of Ningxia Hui Autonomous Region – sequence: 2 givenname: Yunqian surname: Xie fullname: Xie, Yunqian organization: Department of Gastroenterology, The Second Affiliated Hospital of Hai Nan Medical University, The Gastroenterology Clinical Medical Center of Hainan Province – sequence: 3 givenname: Daya orcidid: 0000-0001-6133-8919 surname: Zhang fullname: Zhang, Daya organization: Graduate School, Hainan Medical University – sequence: 4 givenname: Yan orcidid: 0000-0003-3379-2369 surname: Zou fullname: Zou, Yan organization: The Third School of Clinical Medicine, Ningxia Medical University – sequence: 5 givenname: Ximei surname: Li fullname: Li, Ximei organization: The Third School of Clinical Medicine, Ningxia Medical University – sequence: 6 givenname: Runxiang surname: Chen fullname: Chen, Runxiang organization: Graduate School, Hainan Medical University – sequence: 7 givenname: Xiaodong surname: Zhang fullname: Zhang, Xiaodong organization: Graduate School, Hainan Medical University – sequence: 8 givenname: Shiju surname: Chen fullname: Chen, Shiju organization: Graduate School, Hainan Medical University – sequence: 9 givenname: Feihu orcidid: 0000-0002-1560-6131 surname: Bai fullname: Bai, Feihu email: baifeihu_hy@163.com organization: Department of Gastroenterology, The Second Affiliated Hospital of Hai Nan Medical University, The Gastroenterology Clinical Medical Center of Hainan Province |
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Keywords | CYP2C19 Infectious disease Polymorphism H. pylori |
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Poor metabolizer (PM) status of CYP2C19 can be a predisposing factor for developing gastric cancer in
H. pylori
-infected patients. It is unclear... 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... 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... |
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SubjectTerms | Drug Safety and Pharmacovigilance Medicine Pharmacotherapy Pharmacy |
Title | CYP2C19 gene polymorphism in Ningxia |
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