ArticleJournal of neurovirology2020
Novel method to quantify phenotypic markers of HIV-associated neurocognitive disorder in a murine SCID model.
Article in Journal of neurovirology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- In situ analysis of neuronal injury and neuroinflammation during HIV-1 infection.Retrovirology · 2024Article
- HIV-1 infection of genetically engineered iPSC-derived central nervous system-engrafted microglia in a humanized mouse model.Journal of virology · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Despite combined antiretroviral therapy (cART), HIV infection in the CNS persists with reported increases in activation of macrophages (MΦ), microglia, and surrounding astrocytes/neurons, conferring HIV-induced inflammation. Chronic inflammation results in HIV-associated neurocognitive disorders (HAND) with reported occurrence of up to half of individuals with HIV infection. The existing HAND mouse model used by laboratories including ours, and the effect of novel agents on its pathology present with labor-intensive and time-consuming limitations since brain sections and immunohistochemistry assays have to be performed and analyzed. A novel flow cytometry-based system to objectively quantify phenotypic effects of HIV using a SCID mouse HAND model was developed which demonstrated that the HIV-infected mice had significant increases in astrogliosis, loss of neuronal dendritic marker, activation of murine microglia, and human macrophage explants compared to uninfected control mice. HIV p24 could also be quantified in the brains of the infected mice. Correlation of these impairments with HIV-induced brain inflammation and previous behavioral abnormalities studies in mice suggests that this model can be used as a fast and relevant throughput methodology to quantify preclinical testing of novel treatments for HAND.
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