Identifying cellular and molecular mechanisms maintaining HIV-1 latency in the viral reservoir is crucial for devising effective cure strategies. Here we developed an innovative flow cytometry-fluorescent in situ hybridization (flow-FISH) approach for direct ex vivo reservoir detection without the need for reactivation using a combination of probes detecting abortive and elongated HIV-1 transcripts. Our flow-FISH assay distinguished between HIV-1-infected CD4+ T cells expressing abortive or elongated HIV-1 transcripts in PBMC from untreated and ART-treated PWH from the Amsterdam Cohort Studies.
View Article and Find Full Text PDFHIV-1 infection leads to chronic disease requiring life-long treatment and therefore alternative therapeutics, a cure and/or a protective vaccine are needed. Antibody-mediated effector functions could have a role in the fight against HIV-1. However, the properties underlying the potential beneficial effects of antibodies during HIV-1 infection are poorly understood.
View Article and Find Full Text PDFIntroduction: The main obstacle to achieving an HIV-1 cure is the proviral reservoir. To promote equity in HIV cure strategies, it is crucial to study the viral reservoir of the predominant HIV-1 subtype C in both women and men. Therefore, we investigated the dynamics of the (intact) viral reservoir in relation to plasma viral load (VL), CD4 T cell count, and immune activation before and during 96 weeks of successful antiretroviral therapy (ART).
View Article and Find Full Text PDFBackground: People with HIV (PWH) experience a higher burden of ageing-associated comorbidities, the underlying mechanisms of which remain to be fully elucidated. We aimed to identify profiles based on immune, inflammatory, and ageing biomarkers in blood from PWH and controls, and explore their association with total comorbidities over time.
Methods: Latent profile analysis was used to construct biomarker profiles in AGEhIV cohort participants (94 with well-controlled HIV on antiretroviral therapy (ART) and 95 controls without HIV) using baseline measurements of selected biomarkers.
Background: Severe fatigue and cognitive complaints are frequently reported after SARS-CoV-2 infection and may be accompanied by depressive symptoms and/or limitations in physical functioning. The long-term sequelae of COVID-19 may be influenced by biomedical, psychological, and social factors, the interplay of which is largely understudied over time. We aimed to investigate how the interplay of these factors contribute to the persistence of symptoms after COVID-19.
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