Detection of Patient HIV-1 Drug Resistance Mutations in Russia's Northwestern Federal District in Patients with Treatment Failure.
Alexander N ShchemelevYulia V OstankovaElena B ZuevaAlexander V SemenovAreg A TotolianPublished in: Diagnostics (Basel, Switzerland) (2022)
Highly active antiretroviral therapy (HAART) is currently a combination of three (less frequently four) antiretroviral drugs; these target pathways involved in various stages of HIV replication in the body. Treatment failure is a problem facing doctors and patients using HAART. The most common cause of therapeutic failure is the development of HIV drug resistance. The emergence of resistance is associated with processes involving mutation occurring in the viral genome under the influence of evolutionary factors. Sequencing reactions were performed using the AmpliSens HIV Resist-Seq. Assembly of consensus sequences from fragments obtained during sequencing was carried out using Unipro UGENE softwar. Isolate genotyping was performed using the MEGA-X software with the Neighbor-joining algorithm. According to the analysis, 72.05% of patients had at least one significant mutation associated with drug resistance for the corresponding viral subtype. HIV-1 A6 remains the predominant HIV-1 genetic variant in Russia's Northwestern Federal District. Among samples with drug resistance mutations, in all cases, mutations associated with pharmacological resistance to two or three drug groups were found. Given the high incidence of resistance mutations in patients on ineffective ART, surveillance of HIV-1 drug resistance, in both ART-receiving and ART-naive individuals, appears necessary. A lack of vigilance and control measures may lead to the spread of primary ART-resistant HIV strains.
Keyphrases
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- hiv infected patients
- hiv aids
- hiv testing
- hepatitis c virus
- men who have sex with men
- south africa
- end stage renal disease
- single cell
- newly diagnosed
- sars cov
- gene expression
- emergency department
- escherichia coli
- risk factors
- genome wide
- ejection fraction
- prognostic factors
- dna damage
- dna methylation
- machine learning
- peritoneal dialysis
- chronic kidney disease
- public health
- dna repair
- patient reported outcomes
- drug induced