PubMed · 8512843
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C Alderman. HIV/AIDS: evaluating the risks.. https://doi.org/10.7748/ns.7.32.18.s32
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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 years, with a mean absolute error of less than 12 months overall and less than 5 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.
Inflammatory cytokines (interleukin [IL]-1 and tumor necrosis factor [TNF]) have specific inhibitors (IL-1 receptor antagonist [IL-1Ra] and TNF-soluble receptors), the concentration of which can indicate activation and regulation of this system. We measured IL-1 and IL-1Ra in the cerebrospinal fluid (CSF) of HIV-infected patients and seronegative controls. High IL-1Ra concentrations were found in samples from patients with opportunistic meningoencephalitis, even in the presence of normal cell count and protein content, not in samples from patients with leucoencephalopathies or controls. Therefore, IL-1Ra appears to be a sensitive marker of inflammation in the central nervous system. In contradistinction to previous results obtained from blood measurement, IL-1alpha and IL-1beta remained below detectable levels in all cases, suggesting that IL-1 may be regulated differently in the central nervous system and in the blood.
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