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The HIV Pathogenesis Programme is dedicated to understanding the earliest stages of HIV infection and the host–virus interactions that shape disease progression, immune control, and long-term outcomes. This department leads several key studies, including the CAPRISA 002 Acute Infection Cohort, the CAPRISA 012C broadly neutralizing antibody trials, the NeutART trial focused on HIV cure strategies.
CAPRISA 002: The Acute HIV Infection Study
This flagship study, initiated in 2004, has made significant contributions to global understanding of acute HIV-1 subtype C infection. The primary aim is to investigate viral set point dynamics, clinical progression, and the viral, host genetic, and immunological factors that influence disease outcomes.
Key findings from CAPRISA 002 include:
Virologically, ~80% of participants were infected with a single founder virus. Deep sequencing revealed early immune escape mutations driven predominantly by cytotoxic T lymphocyte (CTL) responses. These mutations, some unique to subtype C, were associated with transient loss of viral control. Notably, certain HLA class I genotypes were linked to mutations in the transmitted virus, potentially conferring a survival advantage to HIV.
A landmark achievement from CAPRISA 002 was the observation that approximately 20% of participants developed broadly neutralizing antibodies (bnAbs) within three years of infection. These bnAbs evolved through selective pressure against early strain-specific antibodies targeting regions such as C3-V4 and V1/V2 on the HIV envelope. This has informed the identification of bnAb epitopes that has guided the development of next-generation antibody-based interventions, such as those being evaluated in the CAPRISA 012C and NeutART trials.
Broader Vision
Through these integrated clinical studies, CAPRISA continues to advance the understanding of HIV pathogenesis with a focus on the earliest events post-infection. The programme is actively translating these insights into preventive, therapeutic and cure strategies, including bnAb-based interventions, HIV cure research, artificial intelligence, machine learning and personalised treatment approaches for women in high-burden settings.
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