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Evolving strategies in the diagnosis and treatment of HIV-associated neurocognitive disorders

  • Chuanke Hou
  • , Jingwei Wei
  • , Hui Zhang
  • , Hongjun Li*
  • *Corresponding author for this work
  • Capital Medical University
  • CAS - Institute of Automation
  • Beihang University

Research output: Contribution to journalReview articlepeer-review

Abstract

Despite significant progress in managing HIV infection, HIV - associated neurocognitive disorder (HAND) continues to be a concern even among HIV individuals with well - controlled infection. Current diagnostic strategies, primarily reliant on neuropsychological tests, neuroimaging, and biomarkers from blood and cerebrospinal fluid, alongside combination antiretroviral therapy, form the foundation of HAND management. However, these strategies often fail to identify early or mild HAND, particularly asymptomatic neurocognitive impairment, resulting in delayed diagnosis and intervention. Furthermore, the inability to perform in-depth molecular analyses and conduct longitudinal tracking limits therapeutic advancements. Emerging technologies - advanced neuroimaging, multi-omics, artificial intelligence, alongside simian immunodeficiency virus non-human primate models - are revolutionizing the field. These innovations offer unprecedented opportunities for deeper understanding of the disease mechanism, early detection, comprehensive monitoring, and personalized treatment strategies. Integrating these cutting-edge tools promises to reshape the landscape of HAND management, enhancing the quality of life for those living with HIV.

Original languageEnglish
Pages (from-to)677-688
Number of pages12
JournalReviews in the Neurosciences
Volume36
Issue number6
DOIs
StatePublished - 1 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • HIV-associated neurocognitive disorders
  • Simian Immunodeficiency Virus
  • artificial intelligence
  • multiomics
  • neuroimaging

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