Altered HIV-1 Viral Copy Number and Gene Expression Profiles of Peripheral (CEM CCR5+) and Mucosal (A3R5.7) T Cell Lines Co-Infected with HSV-2 In Vitro.

Co-infecting pathogens have been speculated to influence Human Immunodeficiency Virus (HIV) disease progression. Herpes Simplex Virus Type-2 (HSV-2), another sexually transmitted pathogen, is commonly observed in individuals with HIV-1. Some clinical studies have observed an increase in HIV-1 viral copy number in HSV-2 co-infected individuals. In vitro studies have also demonstrated an increase in the expression of HIV-1 co-receptors on immune cells infected with HSV-2. Although both the viruses show distinctive persistent infection, the influence of HSV-2 on HIV-1 is poorly understood. Here we present a comparative analysis of primary CD4+ T-cells and four different T-cell lines (PM-1, CEM CCR5+, MOLT4 CCR5+, and A3R5.7) to assess the influence of HSV-2 co-infection on HIV-1 replication in vitro. Cell lines indicating significant changes in HIV-1 viral copy number [CEM CCR5+ (0.61 Log10), A3R5.7 (0.78 Log10)] were further evaluated for the infectivity of HIV-1 virions and the changes in gene expression profiles of HSV-2/HIV-1 co-infected and mono-infected cells, which were further confirmed by qPCR. Significant changes in NUP, MED, and VPS mRNA expression were observed in the gene expression profiles in co-infected CEM CCR5+ and A3R5.7 cells. In both cell lines, it was observed that the WNT signaling, PI3 kinase, apoptosis, and T-cell activation pathways were negatively affected in co-infected cells. The data suggest that HSV-2 infection of T-cells may influence the expression of genes that have been previously shown to affect HIV-1 replication in vitro. This idea needs to be explored further to identify anti-viral targets for HSV-2 and HIV-1.

HTLV-2 Encoded Antisense Protein APH-2 Suppresses HIV-1 Replication.

Antisense protein of Human T-cell Leukemia Virus Type 2 (HTLV-2), also called APH-2, negatively regulates the HTLV-2 and helps the virus to maintain latency via scheming the transcription. Despite the remarkable occurrence of HTLV-2/HIV-1 co-infection, the role of APH-2 influencing HIV-1 replication kinetics is poorly understood and needs investigation. In this study, we investigated the plausible role of APH-2 regulating HIV-1 replication. Herein, we report that the overexpression of APH-2 not only hampered the release of HIV-1 pNL4.3 from 293T cells in a dose-dependent manner but also affected the cellular gag expression. A similar and consistent effect of APH-2 overexpression was also observed in case of HIV-1 gag expression vector HXB2 pGag-EGFP. APH-2 overexpression also inhibited the ability of HIV-1 Tat to transactivate the HIV-1 LTR-driven expression of luciferase. Furthermore, the introduction of mutations in the IXXLL motif at the N-terminal domain of APH-2 reverted the inhibitory effect on HIV-1 Tat-mediated transcription, suggesting the possible role of this motif towards the downregulation of Tat-mediated transactivation. Overall, these findings indicate that the HTLV-2 APH-2 may affect the HIV-1 replication at multiple levels by (a) inhibiting the Tat-mediated transactivation and (b) hampering the virus release by affecting the cellular gag expression.

Antiretroviral resistance following immunological monitoring in a resource-limited setting of western India: A cross-sectional study.

BACKGROUND: The free antiretroviral therapy (ART) program in India still relies on the clinico-immunological monitoring for diagnosis of treatment failure. As the nucleoside reverse transcriptase inhibitor (NRTI) backbone is shared in first- and second-line regimens, accumulation of drug resistant mutations (DRMs) can compromise the efficacy of NRTI. This study was undertaken to describe the pattern of HIV DRMs following immunological monitoring and investigate its impact on the cycling of NRTI between first- and second-line ART. METHODS AND FINDINGS: This cross-sectional study was performed at a state-sponsored ART clinic of Pune city in western India between January and June 2016. Consecutive adults receiving first-line ART with immunological failure (IF) were recruited for plasma viral load (PVL) estimation. Randomly selected 80 participants with PVL >1000 copies/mL underwent HIV drug resistance genotyping. Of these, 75 plasma sample were successfully genotyped. The median CD4 count and duration of ART at the time of failure were 98 (IQR: 61.60-153.50) cells/µL and 4.62 (IQR: 3.17-6.15) years, respectively. The prevalence of NRTI, non-NRTI, and major protease inhibitor resistance mutations were 89.30%, 96%, and 1.33%, respectively. Following first-line failure, sequences from 56.67% of individuals indicated low- to high-level resistance to all available NRTI. The proportion of sequences with ≥2 thymidine analogue mutations (TAMs) and ≥3 TAMs were 62.12% and 39.39%, respectively. An average of 1.98 TAMs per sequence were observed following IF as compared to 0.37 TAMs per sequence following targeted PVL monitoring at 12 months of ART from a prior study; this difference was significant (p<0.001). CONCLUSION: The option of cycling of NRTI analogues between first- and second-line regimens would no longer be effective if individuals are followed-up by immunological monitoring due to accumulation of mutations. Introduction of routine PVL monitoring is a priority for the long-term sustainability of free ART program in India.

GeneXpert HIV-1 quant assay, a new tool for scale up of viral load monitoring in the success of ART programme in India.

BACKGROUND: Recent WHO guidelines identify virologic monitoring for diagnosing and confirming ART failure. In view of this, validation and scale up of point of care viral load technologies is essential in resource limited settings. METHODS: A systematic validation of the GeneXpert® HIV-1 Quant assay (a point-of-care technology) in view of scaling up HIV-1 viral load in India to monitor the success of national ART programme was carried out. Two hundred nineteen plasma specimens falling in nine viral load ranges (<40 to >5 L copies/ml) were tested by the Abbott m2000rt Real Time and GeneXpert HIV-1 Quant assays. Additionally, 20 seronegative; 16 stored specimens and 10 spiked controls were also tested. Statistical analysis was done using Stata/IC and sensitivity, specificity, PPV, NPV and %misclassification rates were calculated as per DHSs/AISs, WHO, NACO cut-offs for virological failure. RESULTS: The GeneXpert assay compared well with the Abbott assay with a higher sensitivity (97%), specificity (97-100%) and concordance (91.32%). The correlation between two assays (r = 0.886) was statistically significant (p < 0.01), the linear regression showed a moderate fit (R2 = 0.784) and differences were within limits of agreement. Reproducibility showed an average variation of 4.15 and 3.52% while Lower limit of detection (LLD) and Upper limit of detection (ULD) were 42 and 1,740,000 copies/ml respectively. The misclassification rates for three viral load cut offs were not statistically different (p = 0.736). All seronegative samples were negative and viral loads of the stored samples showed a good fit (R2 = 0.896 to 0.982). CONCLUSION: The viral load results of GeneXpert HIV-1 Quant assay compared well with Abbott HIV-1 m2000 Real Time PCR; suggesting its use as a Point of care assay for viral load estimation in resource limited settings. Its ease of performance and rapidity will aid in timely diagnosis of ART failures, integrated HIV-TB management and will facilitate the UNAIDS 90-90-90 target.