RESUMEN
There are few cohorts of individuals who have survived infection with HIV-1 for more than 20 years, reported and followed in the literature, and even fewer from Africa. Here we present data on a cohort of subtype C-infected individuals from rural northern Malawi. By sequencing multiple clones from long-term survivors at different time points, and using multiple genotyping approaches, we show that 5 of the 11 individuals are predicted as CXCR4 using (by ≥3/5 predictors) but only one individual is predicted as CXCR4 using by all five algorithms. Using any one genotyping approach overestimates the number of predicted CXCR4 sequences. Patterns of diversity and divergence were variable between the HIV-1 long-term survivors with some individuals showing very small amounts of variation and change, and others showing a greater amount; both patterns are consistent with what has been described in the literature.
Asunto(s)
Fármacos Anti-VIH/uso terapéutico , Infecciones por VIH/metabolismo , VIH-1/aislamiento & purificación , Receptores CXCR4/metabolismo , Secuencia de Bases , Cartilla de ADN , Infecciones por VIH/tratamiento farmacológico , Infecciones por VIH/virología , VIH-1/clasificación , Humanos , Funciones de Verosimilitud , Malaui , Datos de Secuencia Molecular , Reacción en Cadena de la PolimerasaRESUMEN
Here we present new sequence data from HIV-1 subtype C-infected long-term survivors (LTS) from Karonga District, Malawi. Gag and env sequence data were produced from nine individuals each of whom has been HIV-1 positive for more than 20 years. We show that the three amino acid deletion in gag p17 previously described from these LTS is not real and was a result of an alignment error. We find that the use of dried blood spots for DNA-based studies is limited after storage for 20 years. We also show some unlikely amino acid changes in env C2-V3 in LTS over time and different patterns of genetic divergence among LTS. Although no clear association between mutations and survival could be shown, amino acid changes that are present in more than one LTS may, in the future, be shown to be important.