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Margreet Bakker

Publications and source records attributed to Margreet Bakker.

2 recordsLinked to original sources

Transmission of Anellovirus From Kidney-Donor to Pediatric Recipient: An Exploratory Study.

BACKGROUND: Among the most abundant viruses in the human blood virome are anelloviruses, including alpha-, beta-, and gammatorqueviruses (TTV, TTMV, and TTMDV). Whether anelloviruses are transmitted through kidney transplantation at a young age and subsequently persist in their new host is unknown. This study investigates the dynamics and composition of the anellome in the blood of six pediatric donor-recipient pairs, with monitoring beginning before transplantation and continuing until 2&#x2009;years after transplantation. METHODS: Donors were sampled once, before donation, while recipients were sampled before and multiple times after transplantation (median 6.5 samples). Quantitative PCR, rolling circle amplification, Illumina sequencing, and SCANellome V2 analysis were used to detect, characterize, and compare anellovirus presence in donors and recipients. RESULTS: At baseline, four out of six donors tested positive for TTV by quantitative anellovirus PCR, three of whom had sufficient viral loads to enable genomic comparison with their recipients. All recipients tested positive at baseline, five had a moderate viral load (<&#x2009;105 copies/mL), and one had >&#x2009;109 copies of TTV DNA/mL. This recipient was already immunosuppressed before transplantation, and only in this recipient was a donor-derived anellovirus identified. This lineage was detected among 15 other lineages in the recipient and matched one of the four lineages identified in the donor. CONCLUSION: This finding demonstrates that anellovirus transmission from donor to recipient occurs in pediatric kidney transplantation. This may be associated with pre-existing immunosuppression.

Humans

HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data.

BACKGROUND: Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. RESULTS: We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9&#xa0;years, with a mean absolute error of less than 12&#xa0;months overall and less than 5&#xa0;months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. CONCLUSIONS: We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.

HIV Infections