Evidence map›Paper›PMID 29531644›Full record

ArticleInternational journal of organ transplantation medicine2018

Prevalence of CYP2C19 Genetic Polymorphism among Normal People and Patients with Hepatic Diseases.

Z Hashemizadeh, S A Malek-Hosseini, P Badiee

Abstract read
In one paragraph

Article in International journal of organ transplantation medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. The Genotype Frequency of CYP2C19 Enzyme after Liver Transplantation.International journal of organ transplantation medicine · 2019
    Article
  5. Observational
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

3 authors.

Z HashemizadehProf. Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
S A Malek-HosseiniTransplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
P BadieeProf. Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with hepatic diseases are treated with numerous drugs metabolized by cytochrome P450.

objectiveTo evaluate the frequencies of CYP2C19 variant alleles (*2, *3, and *17), genotypes, and phenotypes, and the relationship between the frequency of these alleles and the underlying hepatic diseases among patients with advanced liver diseases who were candidates for liver transplantation.

methodsThe Study was conducted on 120 patients suffering from various hepatic disorders, candidates for liver transplantation, and 52 healthy volunteers. DNA was extracted from blood samples and analyzed by TaqMan SNP genotyping assay. The CYP2C19 genotypes were classified into poor, extensive, intermediate, and ultra-rapid metabolizer phenotypes.

resultsViral hepatitis was the most common cause of liver disease among studied patients. The frequencies of CYP2C19 alleles *1, *17, and *2 were 66.7% (160/240), 20.8% (50/240) and 12.5% (30/240), respectively. Allele CYP2C19*3 was not found in the studied population. The most prevalent genotypes were CYP2C19 *1/*1 (47.5%) and *1/*17 (24.2%). The predicted CYP2C19 phenotypes were extensive metabolizer (47.5%), heterozygote extensive metabolizer (45.9%), ultra-rapid metabolizer (5%), and poor metabolizer (1.6%). There was no significant difference between the frequencies of CYP2C19 genotypes between healthy people and patients. The distribution of CYP2C19 genotype frequencies was not significantly associated with the underlying disease conditions (p=0.472).

conclusionThe distribution of CYP2C19 genotype frequencies in Iranian healthy people and patients with various hepatic diseases was not significantly different. This may allow the physicians to predict a tailoring dose regimens based on the individual's metabolic capacity, decrease the risk of harmful side effects of the drugs, and optimize the treatment.

Indexed as

CYP2C19Cytochrome P450Hepatic disordersLiver transplantation

Identifiers

PMID29531644
PMCPMC5839627

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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.