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1.
Clin Infect Dis ; 2024 May 15.
Artigo em Inglês | MEDLINE | ID: mdl-38748464

RESUMO

BACKGROUND: Few data are available on the real-world efficacy of receiving tenofovir-lamivudine-dolutegravir (DTG) as HIV treatment, particularly among young people in West Africa. Here, we evaluated pharmaco-virological outcomes and resistance profiles among Togolese children and adolescents. METHODS: A cross-sectional study was conducted in Lomé, Togo, enrolling antiretroviral-treated people with HIV aged from 18 months to 24 years. Plasma HIV-1 viral load and antiretroviral concentrations were measured. Next-Generation Sequencing (NGS) of protease, Reverse Transcriptase (RT) and integrase was performed on all samples with viral load >200 c/mL. Drug resistance mutations (DRMs) were identified and interpreted using the ANRS-MIE algorithm. RESULTS: 264 participants were enrolled (median age=17 years), 226 received a DTG-based regimen for a median of 20.5 months. Among them, virological suppression at the 200 c/mL threshold in 80.0% of the participants. Plasma DTG concentrations were adequate (i.e., >640 ng/mL), suboptimal and below the limit of quantification in 74.1%, 6.7% and 19.2% of participants receiving DTG, respectively. Overall, viruses resistant to any of Nucleoside RT Inhibitors, Non-NRTIs, and protease inhibitors were found in 52%, 66% and 1.6% of participants, respectively. A major integrase inhibitor DRM was observed in 9.4% (n=3/32, R263K, E138A-G140A-Q148R, and N155H) of participants with a viral load >200 c/mL. CONCLUSIONS: These first findings in such a large series of adolescents in a low-income country, showed a good virological response of 80% and the presence of an integrase DRM in 9.4% of the virological failures, supporting the need to monitor DTG drug resistance to reduce the risk of resistance acquisition.

2.
J Infect Dis ; 229(4): 1041-1049, 2024 Apr 12.
Artigo em Inglês | MEDLINE | ID: mdl-37956413

RESUMO

BACKGROUND: A severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection lasts longer in immunocompromised hosts than in immunocompetent patients. Prolonged infection is associated with a higher probability of selection for novel SARS-CoV-2 mutations, particularly in the spike protein, a critical target for vaccines and therapeutics. METHODS: From December 2020 to September 2022, respiratory samples from 444 immunocompromised patients and 234 health care workers positive for SARS-CoV-2, diagnosed at 2 hospitals in Paris, France, were analyzed using whole-genome sequencing using Nanopore technology. Custom scripts were developed to assess the SARS-CoV-2 genetic diversity between the 2 groups and within the host. RESULTS: Most infections were SARS-CoV-2 Delta or Omicron lineages. Viral genetic diversity was significantly higher in infections of immunocompromised patients than those of controls. Minor mutations were identified in viruses sequenced from immunocompromised individuals, which became signature mutations for newer SARS-CoV-2 variants as the epidemic progressed. Two patients were coinfected with Delta and Omicron variants. The follow-up of immunocompromised patients revealed that the SARS-CoV-2 genome evolution differed in the upper and lower respiratory tracts. CONCLUSIONS: This study found that SARS-CoV-2 infection in immunocompromised patients is associated with higher genetic diversity, which could lead to the emergence of new SARS-CoV-2 variants with possible immune evasion or different virulence characteristics.


Assuntos
COVID-19 , SARS-CoV-2 , Humanos , Estudos de Casos e Controles , Estudos Retrospectivos , SARS-CoV-2/genética , Hospedeiro Imunocomprometido , Mutação
3.
Elife ; 122023 04 26.
Artigo em Inglês | MEDLINE | ID: mdl-37159510

RESUMO

Although France was one of the most affected European countries by the COVID-19 pandemic in 2020, the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) movement within France, but also involving France in Europe and in the world, remain only partially characterized in this timeframe. Here, we analyzed GISAID deposited sequences from January 1 to December 31, 2020 (n = 638,706 sequences at the time of writing). To tackle the challenging number of sequences without the bias of analyzing a single subsample of sequences, we produced 100 subsamples of sequences and related phylogenetic trees from the whole dataset for different geographic scales (worldwide, European countries, and French administrative regions) and time periods (from January 1 to July 25, 2020, and from July 26 to December 31, 2020). We applied a maximum likelihood discrete trait phylogeographic method to date exchange events (i.e., a transition from one location to another one), to estimate the geographic spread of SARS-CoV-2 transmissions and lineages into, from and within France, Europe, and the world. The results unraveled two different patterns of exchange events between the first and second half of 2020. Throughout the year, Europe was systematically associated with most of the intercontinental exchanges. SARS-CoV-2 was mainly introduced into France from North America and Europe (mostly by Italy, Spain, the United Kingdom, Belgium, and Germany) during the first European epidemic wave. During the second wave, exchange events were limited to neighboring countries without strong intercontinental movement, but Russia widely exported the virus into Europe during the summer of 2020. France mostly exported B.1 and B.1.160 lineages, respectively, during the first and second European epidemic waves. At the level of French administrative regions, the Paris area was the main exporter during the first wave. But, for the second epidemic wave, it equally contributed to virus spread with Lyon area, the second most populated urban area after Paris in France. The main circulating lineages were similarly distributed among the French regions. To conclude, by enabling the inclusion of tens of thousands of viral sequences, this original phylodynamic method enabled us to robustly describe SARS-CoV-2 geographic spread through France, Europe, and worldwide in 2020.


Assuntos
COVID-19 , SARS-CoV-2 , Humanos , SARS-CoV-2/genética , COVID-19/epidemiologia , Filogenia , Pandemias , Europa (Continente)/epidemiologia , França/epidemiologia
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