Simian-human immunodeficiency virus (SHIV) models for human immunodeficiency virus (HIV) infection have been widely used in passive studies with HIV neutralizing antibodies (NAbs) to test for protection against infection. However, because SHIV-infected adult macaques often rapidly control plasma viremia and any resulting pathogenesis is minor, the model has been unsuitable for studying the impact of antibodies on pathogenesis in infected animals. We found that SHIVSF162P3 infection in 1-month-old rhesus macaques not only results in high persistent plasma viremia but also leads to very rapid disease progression within 12 to 16 weeks. In this model, passive transfer of high doses of neutralizing IgG (SHIVIG) prevents infection. Here, we show that at lower doses, SHIVIG reduces both plasma and peripheral blood mononuclear cell (PBMC)-associated viremia and mitigates pathogenesis in infected animals. Moreover, production of endogenous NAbs correlated with lower set-point viremia and 100% survival of infected animals. New SHIV models are needed to investigate whether passively transferred antibodies or antibodies elicited by vaccination that fall short of providing sterilizing immunity impact disease progression or influence immune responses. The 1-month-old rhesus macaque SHIV model of infection provides a new tool to investigate the effects of antibodies on viral replication and clearance, mechanisms of B cell maintenance, and the induction of adaptive immunity in disease progression.
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http://dx.doi.org/10.1128/JVI.00049-13 | DOI Listing |
Rev Gastroenterol Peru
January 2025
Departamento de Gastroenterología, Pontificia Universidad Católica de Chile, Santiago, Chile; Departamento de Gastroenterología, Hospital Sótero del Río, Santiago, Chile.
Introduction: Human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) infections are a global public health concern. In 2019, there were 295.9 million people with chronic hepatitis B and 57.
View Article and Find Full Text PDFIntern Med J
January 2025
Department of Infectious Diseases, Westmead Hospital, Sydney, New South Wales, Australia.
Background: With improved outcomes in human immunodeficiency virus (HIV) due to the use of anti-retroviral therapy, ensuring adequate preventative healthcare and management of HIV-related comorbidities is essential.
Aims: To evaluate adherence with recommended guidelines for comorbidity and immunisation status screening amongst people living with HIV within a hospital-based setting across two timepoints.
Methods: A single-centre retrospective case series was conducted at a hospital between 2011 and 2021.
BMC Infect Dis
January 2025
Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Objective: Long-term management of people living with HIV (PLWHs) often relies on CD4 T cell counts for assessing immune recovery, yet a single metric offers limited information. This study aimed to explore the association between the CD4/CD8 ratio and T lymphocyte activities in PLWHs.
Methods: 125 PLWHs and 31 HIV-uninfected controls (UCs) were enrolled and categorized into four groups based on their CD4/CD8 ratios: extremely low ratio (ELR) group: 0.
Sci Rep
January 2025
Sexually Transmitted and Bloodborne Infections Surveillance and Molecular Epidemiology, Sexually Transmitted and Bloodborne Infections Division at the JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratories, Public Health Agency of Canada, Winnipeg, MB, R3E 3L5, Canada.
Human Immunodeficiency Virus Type 1 (HIV) set-point viral load is a strong predictor of disease progression and transmission risk. A recent genome-wide association study in individuals of African ancestries identified a region on chromosome 1 significantly associated with decreased HIV set-point viral load. Knockout of the closest gene, CHD1L, enhanced HIV replication in vitro in myeloid cells.
View Article and Find Full Text PDFNat Commun
January 2025
Center for Bioinformatics and Quantitative Biology, Richard and Loan Hill Department of Biomedical Engineering, The University of Illinois Chicago, 851 South Morgan Street, Chicago, IL, 60607, USA.
The bottleneck in enhanced sampling lies in finding collective variables that effectively accelerate protein conformational changes; true reaction coordinates that accurately predict the committor are the well-recognized optimal choice. However, identifying them requires unbiased natural reactive trajectories, which, paradoxically, require effective enhanced sampling. Using the generalized work functional method, we uncover that true reaction coordinates control both conformational changes and energy relaxation, enabling us to compute them from energy relaxation simulations.
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