Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Más filtros

Banco de datos
País/Región como asunto
Tipo del documento
Intervalo de año de publicación
1.
Emerg Infect Dis ; 28(5): 1021-1025, 2022 05.
Artículo en Inglés | MEDLINE | ID: mdl-35320700

RESUMEN

Genomic surveillance in Uganda showed rapid replacement of severe acute respiratory syndrome coronavirus 2 over time by variants, dominated by Delta. However, detection of the more transmissible Omicron variant among travelers and increasing community transmission highlight the need for near-real-time genomic surveillance and adherence to infection control measures to prevent future pandemic waves.


Asunto(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiología , Humanos , Pandemias , SARS-CoV-2/genética , Uganda/epidemiología
2.
Viruses ; 16(9)2024 Sep 13.
Artículo en Inglés | MEDLINE | ID: mdl-39339930

RESUMEN

We assessed the performance and clinical relevance of Illumina MiSeq next-generation sequencing (NGS) for HIV-1 genotyping compared with Sanger sequencing (SS). We analyzed 167 participants, 45 with virologic failure (VL ≥ 1000 copies/mL), i.e., cases, and 122 time-matched participants with virologic suppression (VL < 1000 copies/mL), i.e., controls, 12 months post-ART initiation. Major surveillance drug resistance mutations (SDRMs) detected by SS were all detectable by NGS. Among cases at 12 months, SS identified SDRMs in 32/45 (71.1%) while NGS identified SDRMs among 35/45 (77.8%), increasing the number of cases with SDRMs by 3/45 (6.7%). Participants identified with, and proportions of major SDRMs increased when NGS was used. NGS vs. SS at endpoint revealed for NNRTIs: 36/45 vs. 33/45; Y181C: 26/45 vs. 24/45; K103N: 9/45 vs. 6/45 participants with SDRMs, respectively. At baseline, NGS revealed major SDRMs in 9/45 (20%) cases without SDRMs by SS. Participant MBL/043, among the nine, the following major SDRMs existed: L90M to PIs, K65R and M184V to NRTIs, and Y181C and K103N to NNRTIs. The SDRMs among the nine increased SDRMs to NRTIs, NNRTIs, and PIs. Only 43/122 (25.7%) of participants had pre-treatment minority SDRMs. Also, 24.4% of the cases vs. 26.2 of controls had minority SDRMs (p = 0.802); minority SDRMs were not associated with virologic failure. NGS agreed with SS in HIV-1 genotyping but detected additional major SDRMs and identified more participants harboring major SDRMs, expanding the HIV DRM profile of this cohort. NGS could improve HIV genotyping to guide treatment decisions for enhancing ART efficacy, a cardinal pre-requisite in the pursuit of the UNAIDS 95-95-95 targets.


Asunto(s)
Fármacos Anti-VIH , Farmacorresistencia Viral , Genotipo , Infecciones por VIH , VIH-1 , Secuenciación de Nucleótidos de Alto Rendimiento , Mutación , Humanos , VIH-1/genética , VIH-1/efectos de los fármacos , Farmacorresistencia Viral/genética , Infecciones por VIH/virología , Infecciones por VIH/tratamiento farmacológico , Masculino , Femenino , Adulto , Fármacos Anti-VIH/uso terapéutico , Fármacos Anti-VIH/farmacología , Persona de Mediana Edad , Carga Viral , Terapia Antirretroviral Altamente Activa
3.
Infect Genet Evol ; 124: 105667, 2024 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-39251076

RESUMEN

In April 2023, an outbreak of acute hepatitis was reported amongst internally displaced persons in the Nazareth community of South Sudan. IgM serology-based screening suggested the likely etiologic agent to be Hepatitis E virus (HEV). In this study, plasma specimens collected from anti-HEV IgM-positive cases were subjected to additional RT-qPCR testing and sequencing of extracted nucleic acids, resulting in the recovery of five full and eight partial HEV genomes. Maximum likelihood phylogenetic reconstruction confirmed the genomes belong to HEV genotype 1. Using distance-based methods, we show that genotype 1 is best split into three sub-genotypes instead of the previously proposed seven, and that these sub-genotypes are geographically restricted. The South Sudanese sequences confidently cluster within sub-genotype 1e, endemic to northeast, central, and east Africa. Bayesian Inference of phylogeny incorporating sampling dates shows that this new outbreak is not directly descended from other recent local outbreaks for which sequence data is available. However, the analysis suggests that sub-genotype 1e has been consistently and cryptically circulating locally for at least the past half century and that the known outbreaks are often not directly descended from one another. The ongoing presence of HEV, combined with poor sanitation and hygiene in the conflict-affected areas in the region, place vulnerable populations at risk for infection and its more serious effects, including progression to fulminant hepatitis.


Asunto(s)
Brotes de Enfermedades , Genotipo , Virus de la Hepatitis E , Hepatitis E , Filogenia , Humanos , Hepatitis E/epidemiología , Hepatitis E/virología , Virus de la Hepatitis E/genética , Virus de la Hepatitis E/clasificación , Sudán del Sur/epidemiología , Sudán/epidemiología , África Oriental/epidemiología , Genoma Viral , Teorema de Bayes , Masculino
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA