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Central nervous system dysfunction, associated with human immunodeficiency virus (HIV) infection, remains a significant clinical concern, affecting at least 50% of infected people. Imbalances in cytokine expression levels have been linked to HIV-associated neurocognitive disorders. The aim of this study was to evaluate plasma cytokine levels as predictor neurocognitive impairment in HIV infection using a multiplex profiling kit. Stepwise regression model was used to identify cytokine biomarkers of overall and domain-specific cognitive performance. Higher interleukin (IL)-2 ( β  = 0.04; P  = 0.001) and eotaxin ( β  = 0.01; P  = 0.017) were predictors of global neurocognitive, whereas higher IL-5 ( β  = 0.005; P  = 0.007) was negative predictor of global cognitive deficit. IL-2 was a negative predictor of most cognitive domain functions, including recall ( β  = 0.24; P  = 0.005), recognition ( β  = 0.04; P  = 0.026), mental control ( β  = 0.38; P  = 0.005), symbol search ( β  = -0.55; P  = 0.001), and digital symbol ( β  = -0.79; P  = 0.019). IL-6 was associated with 3 impaired domains, mental processing ( β  = -0.468; P  = 0.027), recognition ( β  = -0.044; P  = 0.012), and learning ( β  = 0.02668; P  = 0.020) These results show that plasma cytokines/chemokines may serve as markers of neurocognitive impairment in HIV infection.

The pathogenesis of HIV-associated neurocognitive disorders is complex and multifactorial. It is hypothesized that the critical events initiating this condition occur outside the brain, particularly in the peripheral blood. Diagnoses of HIV-induced neurocognitive disorders largely rely on neuropsychometric assessments, which are not precise. Total HIV DNA in the peripheral blood mononuclear cells (PBMCs), quantified by PCR, correlate with disease progression, which is a promising biomarker to predict HAND. Numerous PCR assays for HIV DNA in cell compartments are prone to variation due to the lack of standardization and, therefore, their utility in predicting HAND produced different outcomes. This review evaluates the clinical relevance of total HIV DNA in circulating mononuclear cells using different published quantitative PCR (qPCR) protocols. The rationale is to shed light on the most appropriate assays and sample types used to accurately quantify HIV DNA load, which predicts severity of neurocognitive impairment. The role of monocytes as a vehicle for trafficking HIV into the CNS makes it the most suitable sample for determining a HAND associated reservoir. Studies have also shown significant associations between monocyte HIV DNA levels with markers of neurodamage. However, qPCR assays using PBMCs are cheaper and available commercially, thus could be beneficial in clinical settings. There is need, however, to standardise DNA extraction, normalisation and limit of detection., Competing Interests: The authors declare no conflict of interest.

Diagnosing HIV-associated neurocognitive impairment in most high-burden, but resource-constrained, settings is difficult due to the unavailability of specialist neurologists and neuropsychologists in primary health care centers. New tests that are easy to perform, based on virological and host immune response biomarkers, may be valuable in the diagnosis of HIV-associated neurocognitive disorder. The receiver operator characteristic curve analysis was used to investigate the diagnostic accuracy of threshold/cutoff concentrations for the peripheral lymphocyte proviral load and plasma biomarkers as diagnostic candidates for neurocognitive impairment in 133 HIV-infected individuals, using global deficit scores as the clinical gold standard. Forty-five (33.83%) of the participants had HIV-associated neurocognitive impairment, with 17.29% being mildly impaired and 16.54% moderately impaired. IL-2 had the best performance as a diagnostic tool for neurocognitive impairment with sensitivity of 67% and specificity of 52%, while the lowest performance was IL-6 with 65% sensitivity and 39% specificity. MIP-1α had the highest precision for the cutoff value, as indicated by the narrow 95% confidence interval (CI) (2.23–3.27), followed by IL-2 with 95% CI (3.02–5.12). RANTES had least precision, as shown by the widest 95% CI (135–9,487.61). For clinical markers of HIV diagnosis and monitoring, the lymphocyte proviral load cutoff value of 145 genome copies/million cells had the highest accuracy with 60% sensitivity and 51% specificity. The plasma viral load had an imperfect balance of 46% sensitivity and 78% specificity. The study demonstrated low to medium diagnostic accuracy of plasma cytokine biomarker cutoff values for defining neurocognitive impairment in people living with HIV. [ABSTRACT FROM AUTHOR]