PROGNOSTIC VALUE OF CYP1A2 (rs2069514 AND rs762551) POLYMORPHISMS IN COVID-19 PATIENTS
Bozkurt I, Gözler T, Yüksel I, Ulucan K, Tarhan KN
*Corresponding Author: Prof.Dr. Korkut Ulucan, Saray, Site Yolu Cd No:27, Umraniye/ Istanbul, Turkey, 34768, email: korkutulucan@hotmail.com.tr; +902164002222
page: 35
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MATERIALS AND METHODS
Patients and Study Design
60 patients (28 female and 32 male; aged 20-87) who
were hospitalized in intensive care or outpatient treatment
due to COVID-19 infection in the Istanbul NP brain hospital
between 2020-2021 were enrolled for the study. The
protocol of the study was approved by the Üsküdar University
Non-Interventional Research Ethics Committee
(No:61351342/2021-02) regarding to the Helsinki Declaration-
II. Each participant signed an informed consent form
before the study. All individuals provided written informed
consent. Each of the patients was PCR-positive for the
virus, and their symptoms started within five days before
admission to the hospital, diagnosed by infectious diseases
and clinical microbiology or pulmonary medicine doctors.
CYP1A2 Genotyping
DNA isolations were carried out from the peripheral
blood samples and completed by a commercially available
PureLink Genomic DNA isolation kit (Invitrogen, Van
Allen Way Carlsbad, CA, USA), following the manufacturer
protocols. Analysis of CYP1A2 rs2069514 rs762551
polymorphisms was performed by Thermo Fisher Quanti
Studio 5 Real-Time PCR (Thermo scıentefic, Waltham,
Massachusetts, USA) system, using the TaqMan Genotyping
Assays (Applied Biosystems Foster City, CA, USA)
genotyping kit following the directions of the manufacturer
protocols, as previously described [21].
Statistical Analysis
IBM SPSS Statistics for Windows, Version 25.0
(Statistical Package for the Social Sciences, IBM Corp.,
Armonk, NY, USA) package program was used for the
statistical analysis of the data obtained from the genotyping
results. Sociodemographic, clinical, and CYP1A2
(rs2069514 and rs762551) polymorphisms of the patients
were given as categorical data (n and %) and numerical
data as MeanąSD. The chi-square test or Fisher Exact Test
were used to compare Intensive Care Unit (ICU) admission
and sociodemographic, clinical, and CYP1A2 (rs2069514
and rs762551) polymorphisms. Finally, Multivariate Logistic
Regression analysis was used to evaluate the effects
of various clinical factors on admission to the intensive
care unit. p<0.05 was considered statistically significant.
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