ArticleBosnian journal of basic medical sciences2010
Analysis of CYP2C9*2, CYP2C19*2, and CYP2D6*4 polymorphisms in patients with type 2 diabetes mellitus.
Article in Bosnian journal of basic medical sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04198948 (Interaction Between Omeprazole and Gliclazide in CYP2C19 Normal/ Ultrarapid Metabolisers), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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.
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.
Interaction Between Omeprazole and Gliclazide in CYP2C19 Normal/ Ultrarapid Metabolisers
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- The Genetics of Adverse Drug Outcomes in Type 2 Diabetes: A Systematic Review.Frontiers in genetics · 2021Pooled it
- Article
- Association ofPharmacogenomics and personalized medicine · 2022Article
- Prevalence of five pharmacologically most importantArhiv za higijenu rada i toksikologiju · 2021Article
- ShouldPharmacogenomics and personalized medicine · 2020Article
- Population study of thrombophilic markers and pharmacogenetic markers of warfarin prevalence in Bosnia and Herzegovina.Croatian medical journal · 2019Article
- Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine.Human genomics · 2018Article
- Genotypic and Phenotypic Factors Influencing Drug Response in Mexican Patients With Type 2 Diabetes Mellitus.Frontiers in pharmacology · 2018Article
- Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations.PloS one · 2018Article
- Esomeprazole- or rabeprazole-based triple therapy eradicatedJournal of clinical biochemistry and nutrition · 2016Article
- Association of CYP2C9 Genetic Variants with Vitiligo.Annals of dermatology · 2014Article
- Pharmacogenetics and personalized treatment of type 2 diabetes.Biochemia medica · 2013Review
- Eicosanoids, β-cell function, and diabetes.Prostaglandins & other lipid mediators · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This is the first study performed in population from Bosnia & Herzegovina (BH), in which we analysed a significance of genetic variations in drug-metabolising enzyme, cytochrome P450 (CYP), in pathogenesis of Type 2 diabetes. We have determined allele frequencies for CYP2C9*2, CYP2C19*2, and CYP2D6*4 in diabetic patients and nondiabetic controls. Genomic DNA was extracted from blood samples collected from 37 diabetic and 44 nondiabetic subjects. A real-time polymerase chain reaction was used for the detection of specific CYP polymorphisms, with the application of the specific TaqMan® SNP genotyping tests (Applied Biosystems). Interestingly, results from this study have demonstrated that frequencies of CYP2C19*2 and CYP2D6*4 variants were in line, while frequency of CYP2C9*2 polymorphism seemed to be lower in this sample of BH population as compared to the Caucasians genotype data. Furthermore, no significant difference in allele frequencies for CYP2C9*2, CYP2C19*2, and CYP2D6*4 was demonstrated between diabetic and nondiabetic subjects. Thus, results form this study seem to indicate no relationship between CYP2C9, CYP2C19, and CYP2D6 genotype and diabetes susceptibility in Bosnian population. This in part may reflect a limited study population included in our study and would require larger cohorts to reveal potential relationships between analysed CYP genetic variants and diabetes risk. In addition, it would be pertinent to further explore possible effects of CYP genetic variations on therapeutic and adverse outcomes of oral antidiabetics, which might be the key in optimising therapy for individual patient with Type 2 diabetes.
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