[Investigation of Ganciclovir Resistance in Cytomegalovirus Strains Obtained from Immunocompromised Patients].

İmmün Yetmezlikli Hastalardan Elde Edilen Sitomegalovirüs İzolatlarındaki Gansiklovir Direncinin Araştırılması.

Journal

Mikrobiyoloji bulteni
ISSN: 0374-9096
Titre abrégé: Mikrobiyol Bul
Pays: Turkey
ID NLM: 7503830

Informations de publication

Date de publication:
Oct 2020
Historique:
entrez: 27 10 2020
pubmed: 28 10 2020
medline: 9 1 2021
Statut: ppublish

Résumé

CMV is a virus that is asymptomatic in healthy individuals but can cause serious mortality and morbidity in transplant patients and patients with acquired immunodeficiency syndrome (AIDS). Ganciclovir (GCV) is a nucleoside analog that significantly reduces morbidity and mortality in CMV-related infections and is used as the first choice in treatment. It is the first drug shown to be effective in the treatment of CMV disease in humans, and is also homologous to acyclovir. Long-term antiviral therapy is required to prevent or treat CMV disease, but this can cause antiviral resistance which was reported to be 8-14% in CMV. In CMV strains, GCV resistance is most common in the UL97 kinase gene region. The aim of this study was to investigate GCV resistance in CMV strains obtained from the patients with immune deficiency. A total of 49 patients, including 20 children, 29 adults, who were followed in the department of hematology were included in the study. Fifty-three samples from 49 patients with CMV DNA viral load ≥ 103 copies/ml were examined for GCV resistance. In the study, DNA sequences were determined by Sanger sequence analysis method 3500 Abi Prism Genetic Analyser (Applied Biosystems, Thermo Fisher Scientific, USA) in the 674 bp part of the UL97 gene region. The next generation sequencing (NGS) method was applied to the samples that could not be evaluated with this method. GCV resistance was not detected in 35 (66%) of 53 samples with the Sanger method. C592G, C607S and M460I GCV resistance mutation was detected in three patients. Since the sequences were mixed, resistance analysis could not be evaluated with Sanger in 15 patient samples and the resistance was not detected in these samples studied with NGS. Antiviral resistance mutation was detected in three of 49 patients (6.1%). In 20 patients included in the study, three variant sequences (A442G, C592F, A427V) reported in the literature and determined to be sensitive to drugs by phenotypic tests and 78 variant sequences that were not reported in the literature were detected. As a result, the detection of antiviral resistance is important in the follow-up of the patients and guides the clinician in planning of the treatment. It was concluded that the samples that could not be evaluated with the Sanger method should be studied with NGS and further studies are needed to determine the role of the variant sequences detected for the first time in drug resistance.

Identifiants

pubmed: 33107291
doi: 10.5578/mb.70062
doi:

Substances chimiques

Antiviral Agents 0
Ganciclovir P9G3CKZ4P5

Types de publication

Journal Article

Langues

tur

Sous-ensembles de citation

IM

Pagination

619-628

Auteurs

Ayşenur Coşkun (A)

Erciyes University Faculty of Medicine, Department of Medical Microbiology, Kayseri, Turkey.

Selma Gökahmetoğlu (S)

Erciyes University Faculty of Medicine, Department of Medical Microbiology, Kayseri, Turkey.

Pelin Özmen (P)

Cappadocia University Faculty of Dentistry, Department of Basic Sciences, Nevşehir, Turkey.

Şerife Çevik (Ş)

Erciyes University Faculty of Medicine, Department of Medical Microbiology, Kayseri, Turkey.

Musa Karakükçü (M)

Erciyes University Faculty of Medicine, Department Child Health and Diseases, Kayseri, Turkey.

Leylagül Kaynar (L)

Erciyes University Faculty of Medicine, Department of Hematology, Kayseri, Turkey.

Kenan Midilli (K)

Istanbul University Cerrahpasa Medical Faculty, Department of Medical Microbiology, İstanbul, Turkey.

Mert Ahmet Kuşkucu (MA)

Istanbul University Cerrahpasa Medical Faculty, Department of Medical Microbiology, İstanbul, Turkey.

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Classifications MeSH