HIV-infected adults in the western world have a life expectancy near that of the general population, but are at a significantly elevated risk of developing cognitive deficits. Such impairments are the most common neurological complication of HIV disease, with prevalence estimates ranging from 35-70% of all HIV-infected individuals, and research targeting such comorbidities has been identified as a top priority by the Office of AIDS Research (NOT-OD-15-137). Substance use disorders (SUD) are also more prevalent in the HIV-infected population, yet their relative contribution to the increased rate of cognitive impairment in this group remains poorly understood. A key barrier to progress in this area has been the historic lack of diagnostic tests and biomarkers that can precisely assess the neurological complications of HIV-infection, which has all but precluded quantification of the additive impact of SUD comorbidity. This barrier is central to RFA-DA-18-023, which requests applications that ?foster biomarker and signature identification that could advance the clinical assessment of the degree of deterioration or damage, of functional reserve, and of resilience of host defense mechanisms, towards HIV- infection and comorbidity of HIV with SUDs.? Specifically, the RFA requests proposals that identify biomarkers derived from blood, plasma, noninvasive neuroimaging modalities, and/or other sources, with an emphasis on biomarkers that can be quantitated, with levels assessed for their ability to predict disease progression. The current project directly targets the scientific gaps identified in this RFA, Identification of Biomarkers of HIV Pathogenesis and Substance Abuse Comorbidity, using a multipronged approach that includes state-of-the-art neurophysiological, structural, and spectroscopic noninvasive imaging, cognitive assessment, and cellular and molecular analyses of blood/plasma in the context of cannabis use disorder (CUD). Specifically, the Signatures of Cannabis Abuse in NeuroHIV (SCAN) Consortium will utilize advanced magnetoencephalographic (MEG) imaging to quantify the neural dynamics serving cognitive processing, 3-Tesla MRI and multimodal parcellation methods to map brain architecture, functional MRI (fMRI) for hemodynamics and intrinsic networks, and 7-Tesla spectroscopic imaging to quantify local GABA levels across the brain. These data will be integrated with a comprehensive molecular screen that includes 35 plasma biomarkers covering the immune, inflammatory, coagulation, endothelial, and neurological systems, a 10-color flow cytometry panel delineating CD4 and CD8 T cells, B cells, NK cells, monocyte subsets, and activation markers, known clinical markers, and mitochondrial function in immune cells using the Seahorse Analyzer method. To enhance rigor, demographically-matched groups of uninfected controls with and without CUD will be enrolled, which will enable the interaction of HIV and CUD to be quantified. In sum, to truly meet the goals of this RFA, we will use a broad range of neuroimaging, molecular, and cellular functional assays to uncover biomarker signatures of HIV and CUD that will enable identification of early dysfunction, progression, and prognosis, enabling future preventative and treatment trials.
HIV-infection has become a chronic manageable condition with a life expectancy that approaches that of the general population, but affected adults remain at a significantly elevated risk of developing cognitive deficits. Substance use disorders (SUD) are also more prevalent in the HIV-infected population, but their potential contribution to these cognitive deficits remains poorly understood, and this is at least partially attributable to a lack of viable biomarkers for HIV-related cognitive disorders, SUDs, and their comorbidity. The Signatures of Cannabis Abuse in NeuroHIV (SCAN) consortium will use advanced cellular and molecular analyses of blood and plasma, and the latest multimodal brain mapping methods to identify predictive markers of HIV, cannabis use disorder, and their comorbidity, with the ultimate goal of using these markers for prognosis and monitoring disease progression.
