Abstract
HIV subtypes distribution varies by geographic regions; this is likely associated with differences in viral fitness but the predictors and underlying mechanisms are unknown. Using in-vitro, in-vivo, and ex-vivo approaches, we found significantly higher transactivation and replication of HIV-1-CRF02_AG (prevalent throughout West-Central Africa), compared to subtype-B. While CRF02_AG-infected animals showed higher viremia, subtype-B-infected animals showed significantly more weight loss, lower CD4+ T-cells and lower CD4/CD8 ratios, suggesting that factors other than viremia contribute to immunosuppression and wasting syndrome in HIV/AIDS. Compared to HIV-1-subtype-B and its Tat proteins(Tat.B), HIV-1-CRF02_AG and Tat.AG significantly increased histone acetyl-transferase activity and promoter histones H3 and H4 acetylation. Silencing N-myrystoyltransferase(NMT)-1 and casein-kinase-(CK)-II-alpha prevented Tat.AG- and HIV-1-CRF02_AG-mediated viral transactivation and replication, but not Tat.B- or HIV-1-subtype-B-mediated effects. Tat.AG and HIV-1-CRF02_AG induced the expression of NMT-1 and CKII-alpha in human monocytes and macrophages, but Tat.B and HIV-1-subtype-B had no effect. These data demonstrate that NMT1, CKII-alpha, histone acetylation and histone acetyl-transferase modulate the increased replication of HIV-1-CRF02_AG. These novel findings demonstrate that HIV genotype influence viral replication and provide insights into the molecular mechanisms of differential HIV-1 replication. These studies underline the importance of considering the influence of viral genotypes in HIV/AIDS epidemiology, replication, and eradication strategies.
Subject terms: Transcription, HIV infections
Introduction
The human immunodeficiency virus (HIV) is characterized by a very high genetic variability, due to lack of DNA proofreading activity of the reverse transcriptase enzyme and pharmacological selective pressure1–4. This has resulted in mutations, high rates of intra- and inter-molecular recombination within infected hosts, and very high clade diversity5–7. Over 95% of people living with HIV/AIDS are infected with HIV-18,9. HIV-1 includes four groups: M (major), O (outlier), N (non-M non-O), and P1,5. HIV-1 group M accounts for the vast majority of infection globally and includes 9 pure subtypes (A-D, F-H, J and K), sub-subtypes (A1 and A2, F1 and F2), about 96 circulating recombinant forms (CRFs) and several unique (unclassified) recombinant forms (URFs)1,7. HIV-1 CRF02_AG is a recombinant of subtypes A and G, circulating in West and Central Africa; with 52–84% of HIV-infected humans in that region infected with HIV-1 CRF02_AG10–13. This Central and West African region includes 26 countries with over 535 million inhabitants14.
HIV-1 subtype distribution varies by geographic regions, with subtype-B prevalent in north America, Europe and other Western countries, subtype-C prevalent in Eastern and Southern Africa and Asia, subtype-D prevalent in Eastern and Central Africa, while subtypes A, G, and CRF02_AG are prevalent in West and Central Africa5–7. This differential geographic distribution of HIV clades is likely associated with differences in viral fitness, replication capacity, and viral adaptation in a given environment. In fact, the transactivator of transcription (Tat) binds to the trans-activating response element (TAR) to modulate the expression of viral genes and HIV replication; and genetic variations in the Tat region has been shown to affects its interaction with TAR and viral replication15,16. The host genetics, ethnicity and immune response also drive HIV genetic changes and play a major role in the control of viral replication, mutations, immune response, and disease progression17,18.
Viral genotype can influence Tat-induced blood-brain barrier inflammation19,20, cytokine expression and chemotactic activities20,21, and can affect the progression to AIDS22,23. Ex-vivo and in-vitro studies also showed increased replication of HIV-1 CRF02_AG isolates compared to subtypes A and G viral isolates24,25. The molecular mechanisms modulating this subtype-based differential viral replication are not known. In the present study, using cell lines, primary HIV-1 isolates, human peripheral blood mononuclear cells (PBMC), monocytes-derived macrophages (MDM), and HIV/AIDS animal models, we show significantly higher replication of primary HIV-1 CRF02_AG (AG) isolates in-vitro and in-vivo, compared to subtype-B viral isolates. Mechanistic studies demonstrate that this increased replication of AG isolates was associated with increased histone acetyl transferase (HAT) activity, increased acetylation of histone H3 and H4 in the viral long-terminal repeat (LTR) region, increased viral promoter transactivation by Tat proteins derived from HIV-1 CRF02_AG (Tat.AG) and primary CRF02_AG viral isolates (but not Tat.B or HIV-1 subtype-B). We demonstrate that Tat.AG and HIV-1 CRF02_AG (but not Tat.B or HIV-1 subtype-B) increased N-myrystoyltransferase (NMT)-1 and casein kinase-II-alpha (CKIIα) expression in human monocytes and MDM, and silencing NMT1 and CKIIα (but not NMT2 or CKIIβ) genes blocked HIV-1 CRF02_AG (but not subtype B) infection of human macrophages. These mechanistic studies provide insights into the molecular mechanisms modulating the increased replication of CRF02_AG viruses, and have implications for the transmission, adaptation, and predominance of this recombinant virus in Sub-Saharan Africa.
Results
Increased replication of primary HIV-1 CRF02_AG isolates, compared to HIV-1 subtype-B, in human blood cells
HIV replicative capacity determines its fitness and adaptation in a given environment. Comparative analyses of the replication capacity of HIV-1 subtype-B (4 different isolates) and CRF02_AG (5 different isolates) in human PBMC and MDM showed that compared to PBMC infected with HIV-1 subtype-B, CRF02_AG-infected cells had significantly higher reverse transcriptase (RT) activity at day-12 (Fig. 1A,B) and day-15 (Fig. 1C,D) post-infection (p.i.) (P < 0.0001). Similarly, higher RT activity was seen in CRF02_AG-infected MDM from day-5 to day-18 p.i. compared to clade-B-infected MDM (Fig. 1E,F; P < 0.0001).
Infection of NOD/scid–IL-2Rγcnull (NSG) mice with HIV-1 subtype-B resulted in higher weight loss, compared to animals infected with HIV-1 CRF02_AG
To validate our in-vitro findings, we performed in-vivo experiments using NSG mice engrafted with human peripheral blood lymphocytes (PBL). Animals were monitored and weighed every 2–3 days before (pre-E) and after (post-E) engraftment, before and after infection. All engrafted animals (mock-infected controls, AG-infected, and clade-B-infected mice) had similar body weight pre- and post-engraftment and at week-1 p.i., mean mouse weight: 23–25.6 grams(g) (Fig. 2A,B). At week-2 p.i., compared to controls (mean weight 27.38 ± 1.77(SD) g/mouse), the weight of clade-B (20.38 ± 3.14 g/mouse) and AG (22.22 ± 1.74 g/mouse) infected mice were significantly lower (P < 0.0001, Fig. 2A,B), but there was no significant difference between AG- and clade-B-infected animals’ weight. At week-3 p.i., compared to controls (mean weight 28 ± 2.2 g/mouse), the weight of clade-B (14.73 ± 1.5 g/mouse) and AG (18.5 ± 2.55 g/mouse) infected mice were significantly lower (P < 0.0001); and the weight of clade-B infected mice was significantly lower than that of AG-infected animals (P < 0.0001, Fig. 2A,B).
Infection of animals with HIV-1 subtype-B resulted in increased loss of CD4+ T-cells, compared to animals infected with HIV-1 CRF02_AG
The effect of HIV-1 infection on mice immune system was monitored pre- and post-infection by fluorescence activated cell sorting (FACS) quantification of human (hCD45+, hCD3+, hCD4+, and hCD8+) cells in animals’ blood. At week-1 post-E, all engrafted animals had similar levels of hCD4+ T-cells (37.8 ± 7 to 41 ± 11%) (mean ± SD) (Fig. 2C,D). Levels of hCD4+ T-cells gradually declined following HIV-1 infection, but this decrease was significantly larger in clade-B-infected mice compared to AG-infected animals. At week-1 p.i., hCD4+ T-cells levels in controls was 1.58-fold higher than in AG-infected animals (P = 0.0037, Fig. 2D), 2.06-fold higher than in clade-B-infected animals (P < 0.0001, Fig. 2D), and hCD4+ T-cells levels in AG-infected animals was 1.3-fold higher than in clade-B-infected animals (P = 0.018, Fig. 2D). At week-2 p.i., hCD4+ T-cells levels in controls was 2-fold higher than in AG-infected animals, 11.4-fold higher than in clade-B-infected animals, and hCD4+ T-cells levels in AG-infected animals was 5.6-fold higher than in clade-B-infected animals (P < 0.0001, Fig. 2D). At week-3 p.i., hCD4+ T-cells levels in non-infected controls was 4.45-fold higher than in AG-infected animals (P < 0.0001, Fig. 2D), 15-fold higher than in clade-B-infected animals (P < 0.0001, Fig. 2D), and hCD4+ T-cells levels in AG-infected animals was 4.36-fold higher than in clade-B-infected animals (P = 0.0006, Fig. 2D).
Infection of animals with HIV-1 subtype-B resulted in higher hCD8+ T-cells and lower hCD4/hCD8 ratios, compared to animals infected with HIV-1 CRF02_AG
At week-1 post-E, all engrafted animals had similar levels of hCD8+ T-cells (37 ± 10 to 38.4 ± 10.4%) (mean ± SD) (Fig. 2E,F). hCD8+ T-cells levels gradually increased following infection, with larger increases in clade-B-infected mice, compared to AG-infected animals (Fig. 2E,F). At week-1 p.i., hCD8+ T-cells levels in AG- and clade-B-infected animals were respectively 1.48-fold (P = 0.0008, Fig. 2F) and 1.52-fold (P = 0.0003, Fig. 2F) higher than hCD8+ T-cells levels in control animals. At week-2 p.i., hCD8+ T-cells levels in AG- and clade-B-infected animals were respectively 1.6-fold and 2-fold higher than levels in control animals, and hCD8+ T-cells levels in clade-B-infected animals were 1.25-fold higher than in AG-infected animals (P < 0.0001, Fig. 2F). At week-3 p.i., hCD8+ T-cells levels in AG- and clade-B-infected animals were respectively 1.6-fold and 1.76-fold higher than levels in control animals, and levels in clade-B-infected animals were 7.7% higher than in AG-infected animals (P = 0.013, Fig. 2F).
Pre-infection ratios of hCD3 + hCD4 + /hCD3 + hCD8+ T-cells were similar for controls, AG-infected, and clade-B-infected animals (Fig. 2G,H). These ratios gradually decreased following HIV-1 infection. At week-1 p.i., hCD4/hCD8 ratios in AG- and clade-B-infected animals were respectively 2.22-fold and 3.2-fold lower than in control animals (Fig. 2G,H, P < 0.0001), and ratios in clade-B-infected animals were 1.44-fold lower than in AG-infected animals (Fig. 2G,H, P < 0.01). At week-2 p.i., hCD4/hCD8 ratios in AG- and clade-B-infected animals were respectively 3.12-fold and 22.27-fold lower than in control animals, and ratios in clade-B-infected animals were 7-fold lower than in AG-infected animals (Fig. 2G,H, P < 0.0001). At week-3 p.i., hCD4/hCD8 ratios in AG- and clade-B-infected animals were respectively 7.7-fold and 35.6-fold lower than in control animals (Fig. 2G,H, P < 0.0001); ratios in clade-B-infected animals were 4.6-fold lower than in AG-infected animals.
Increased viremia in HIV-1 CRF02_AG-infected mice compared to clade-B-infected animals
Studies in NSG mice, a well characterized HIV/AIDS animal model26–28, showed higher HIV-1 p24 antigen levels in plasma of AG-infected mice (N = 29) compared to clade-B infected mice (N = 25) (Fig. 3). At week-1 p.i., HIV-1 p24 antigen levels in AG-infected animals [164.2 ± 17 pg/ml (mean ± SD)] was 2.86-fold higher than p24 levels in clade-B-infected animals (57.37 ± 18.2 pg/ml) (Fig. 3A,B, P < 0.0001). At week-2 p.i., p24 levels in AG-infected animals (809 ± 134 pg/ml) was 1.4-fold higher than p24 levels in clade-B-infected animals (568 ± 78 pg/ml). At week-3 p.i., p24 levels in AG-infected animals (1065 ± 130.3 pg/ml) was 1.34-fold higher than in clade-B-infected animals (792.3 ± 108.2 pg/ml) (Fig. 3A,B). However, differences in week-2 and week-3 p24 levels did not reach statistical significance due to large variations between animals: at week-2 p.i., plasma p24 levels varied from 103.2–1781 (interquartile range (IQR): 172, 1726) pg/ml in AG-infected mice, and from 24.87–1551 (IQR: 292, 835.8) pg/ml in clade-B-infected mice. At week-3 p.i., plasma p24 levels varied from 154.2–1729 (IQR: 317, 1686) pg/ml in AG-infected mice, and from 148–1662 (IQR: 353, 1043) pg/ml in clade-B-infected mice.
Increased viral loads in tissues of HIV-1 CRF02_AG-infected mice, compared to animals infected clade-B viruses
We performed real-time PCR quantification of HIV-1 LTR, pol, tat, and gag mRNA in animals’ tissues, including the heart, kidney, liver, lungs, and spleen. Data normalized to hCD45+ cells levels in tissue found that compared to clade-B-infected animals, LTR levels in AG-infected animals were significantly higher in the heart (2.56-fold, P = 0.0027), kidney (22.32-fold, P = 0.0005), liver (4.77-fold, P = 0.0001), lungs (5.7-fold, P < 0.0001), and spleen (200-fold, P = 0.0004) (Fig. 3C). AG-infected animals showed significantly higher levels of HIV-1 pol in the heart (15.73-fold, P = 0.0007), kidney (34.8-fold, P = 0.033), liver (22.85-fold, P < 0.0001), lungs (26-fold, P < 0.0001), and spleen (368-fold, P = 0.023) (Fig. 3D). AG-infected animals showed higher levels of HIV-1 tat in the heart (7.1-fold, P < 0.0001), kidney (1269-fold), liver (27.46-fold), lungs (20.3-fold, P = 0.002), and spleen (258.5-fold, P = 0.016) (Fig. 3E). Compared to clade-B-infected animals, AG-infected animals also showed higher levels of HIV-1 gag in the heart (147.3-fold, P = 0.019), kidney (52.5-fold), liver (137.5-fold), lungs (114.5-fold), and spleen (792.3-fold, P = 0.001) (Fig. 3F).
Additional analyses normalized to hCD4+ cells levels in tissue found significantly increased viremia in AG-infected animals. Compared to clade-B-infected animals, HIV-1 LTR levels in AG-infected animals were significantly higher in the heart (3.7-fold, P < 0.0001), kidney (15-fold, P < 0.0001), liver (8-fold, P = 0.001), lungs (15.37-fold, P = 0.0003), and spleen 3.46-fold (Fig. 4A). AG-infected animals also showed higher HIV-1 pol levels in the heart (2.1-fold), kidney (2.76-fold, P < 0.0001), liver (5.3-fold, P = 0.0015), lungs (2.1-fold, P = 0.012), and spleen (8-fold, P = 0.0002) (Fig. 4B). AG-infected animals showed significantly higher levels of HIV-1 tat in the heart (4.25-fold, P = 0.0003), kidney (12.95-fold, P < 0.0001), liver (18.32-fold, P < 0.0001), lungs (6.74-fold, P = 0.0002), and spleen (10.5-fold, P < 0.0001) (Fig. 4C). Compared to clade-B-infected animals, AG-infected animals also showed significantly higher levels of HIV-1 gag in the heart (8.68-fold, P < 0.0001), kidney (4.1-fold, P = 0.0026), liver (4.2-fold, P = 0.0023), lungs (4.3-fold, P = 0.0004), and spleen (3.85-fold, P < 0.0001) (Fig. 4D).
Increased LTR transactivation with Tat.AG and HIV-1 CRF02_AG compared to Tat.B and HIV-1 clade-B
Efficient and increased HIV-1 promoter activity correlate with increased LTR transcription and viral replication, and this is modulated by Tat binding to TAR15,16. Therefore, using U38 cells, we assessed the effects of Tat.AG and Tat.B on LTR promoter activity. Both Tat.AG and Tat.B (10–1000 ng/ml) significantly increased LTR transcriptional activity compared to cells exposed to heat-inactivated (HI) Tat proteins (Fig. 5A). LTR transcriptional activity in cells exposed to Tat.AG was 1.4–1.76-fold higher than LTR activity in cells exposed to Tat.B (P < 0.05, Fig. 5A).
Increased viral transactivation with Tat.AG and HIV-1 CRF02_AG is associated with increased HAT activity, compared to Tat.B and HIV-1 clade-B
Because increased HAT activity is known to enhance HIV replication, we assessed the effects of Tat.AG and Tat.B on HAT activity in U38 cells. Both Tat.AG and Tat.B significantly increased HAT activity in U38 cells compared to cells exposed to heat-inactivated (HI)-Tat (Fig. 5B). HAT activity in cells exposed to Tat.AG was 1.4–2.53-fold higher than HAT activity in cells exposed to Tat.B (Fig. 5B). Because macrophages are some of the major HIV cellular reservoirs in humans, we assessed the effect of CRF02_AG and clade-B HIV-1 (3 different isolates for each subtype) on HAT activity in primary human monocytes and MDM. Compared to controls, exposure of human monocytes to AG isolates increased HAT activity by 2.66–4.34-fold whereas exposure of monocytes to clade-B HIV-1 isolates increased HAT activity by 1.5–2.5-fold (Fig. 5C,D); HAT activity in monocytes exposed to HIV-1 CRF02_AG isolates was 1.2–1.73-fold higher than HAT activity in monocytes exposed to clade-B isolates (Fig. 5C,D). Compared to non-infected MDM, exposure of human MDM to HIV-1 CRF02_AG isolates increased HAT activity by 2.6–5.24-fold whereas exposure of MDM to clade-B isolates increased HAT activity by 1.8–3.37-fold (Fig. 5E,F); HAT activity in MDM exposed to HIV-1 CRF02_AG isolates was 1.45–1.55-fold higher than HAT activity in MDM exposed to clade-B isolates (Fig. 5E,F).
Increased HIV-1 transactivation and HAT activity with Tat.AG are associated with increased acetylation of histone H3 and H4 in the LTR promoter
Acetylation of histone proteins correlate with increased HAT activity, and HIV-1 transactivation is often associated with increased histone acetylation29,30. We performed Chromatin Immunoprecipitation (ChIP) assays to determine whether Tat.AG and Tat.B differentially induce acetylation of histones in the HIV-1 LTR promoter region(s) (Fig. 6A). Tat increased acetyl-H3 and acetyl-H4 levels in nucleosome (Nu)-0 and Nu-1 regions of the HIV-1 promoter. Compared to Tat.B, Tat.AG induced higher levels of acetyl-H3 and acetyl-H4 in Nu-0 (Fig. 6B). No acetylated histone was detected in the nucleosome-free regions (NFRs). Acetyl-H3 and acetyl-H4 levels in cells treated with similar concentrations of HI-Tat proteins were similar to levels in controls (C, Fig. 6B).
NMT1 and CKIIα are involved in Tat.AG but not Tat.B mediated HIV-1 transactivation
Our previous analyses of Tat sequences from over 100 human plasma samples showed conserved post-translational modifications (PTMs) in Tat functional domains, including N-myristoylation and CKII domains, and demonstrated subtype-based differences in these Tat PTMs12. To determine whether these subtype-based differences in Tat PTMs can influence its function, we silenced two NMT (NMT1 and NMT2) and two CKII (CKIIα and CKIIβ) genes in U38 (Fig. 7A–C) and TZM-bl (Fig. 7D–F) cells, and assessed Tat-induced HIV-1 transactivation. Silencing of NMT1, NMT2, CKIIα and CKIIβ genes was confirmed by reverse-transcription (RT)-PCR (Fig. 7A,D) and Western blots (Fig. 7B,E); 5 × 104 shRNA infectious units of lentiviral particles induced maximal gene silencing without cellular toxicity (Fig. 7A,B,D,E). Both Tat.AG and Tat.B (10–1000 ng/ml) significantly increased LTR transcription in U38 (Fig. 7C) and TZM-bl (Fig. 7F) cells, with Tat.AG inducing higher LTR transcriptional activity compared to Tat.B. Silencing the NMT1 gene blocked Tat.AG-induced LTR transcription: reduced Tat.AG-induced LTR transcription in U38 cells by 62–85% (Fig. 7C) and in TZM-bl cells by 33–60.5% (Fig. 7F) (P < 0.0001), but had no effect on Tat.B-induced LTR transcription (Fig. 7C,F). Silencing the CKIIα gene also blocked Tat.AG-induced LTR transcription: reduced Tat.AG-induced LTR transcription in U38 cells by 74–90% (Fig. 7C) and in TZM-bl cells by 52.7–64.8% (Fig. 7F) (P < 0.0001), but had no effect on Tat.B-induced LTR transcription (Fig. 7C,F). Silencing the NMT2 or CKIIβ genes had no effect on Tat.AG or Tat.B -induced LTR transcription (Fig. 7C,F).
NMT1 and CKIIα mediate HIV-1 CRF02_AG, but not clade-B, replication in human macrophages
To validate our data and determine whether CKII and/or protein myristoylation are involved in HIV-1 replication and whether there are subtype differences, we assessed the effects of NMT1, NMT2, CKIIα, and CKIIβ on HIV-1 CRF02_AG and clade-B replication in primary human macrophages. Silencing of NMT1, NMT2, CKIIα, and CKIIβ genes in MDM was confirmed by RT-PCR (Fig. 8A) and Western blot (Fig. 8B); 5 × 104 infectious units of each shRNA induced maximal gene silencing without causing cellular toxicity. From day-5 to day-21 p.i., RT activity in MDM infected with AG viruses was consistently higher than RT activity in MDM infected with clade-B viruses (P < 0.0001, Figs 8 and 9). Silencing NMT1 blocked MDM infection by AG isolates but had no effect on infection by clade-B isolates (Fig. 8C,D). Compared to scrambled shRNA, NMT1 shRNA reduced HIV-1 CRF02_AG replication in MDM by 71.4–86.7% (P < 0.0001, Fig. 8C,D) but had no effect on the replication of clade-B viruses. From day-5 to day-21 p.i., the replication of clade-B viruses in MDM with silenced NMT1 gene was 1.8–4.1-fold higher than the replication of AG viruses in MDM with silenced NMT1 gene (P < 0.0001, Fig. 8C,D). Silencing the NMT2 gene had no effect on the replication of AG or clade-B viruses (Fig. 8E,F).
Additional experiments also confirmed the involvement of CKIIα in the replication of HIV-1 CRF02_AG, but not clade-B viruses. Silencing the CKIIα gene blocked MDM infection by HIV-1 CRF02_AG isolates, but had no effect on infection by clade-B isolates (Fig. 9A,B). Compared to scrambled shRNA, CKIIα shRNA reduced HIV-1 CRF02_AG replication in MDM by 71–87.8% (P < 0.0001, Fig. 9A,B) but had no effect on the replication of clade-B viruses. From day-5 to day-21 p.i., the replication of clade-B viruses in MDM with silenced CKIIα gene was up to 4-fold higher than the replication of AG viruses in MDM with silenced CKIIα gene (P < 0.0001, Fig. 9A,B). Silencing the CKIIβ gene had no effect on the replication of AG or clade-B viruses (Fig. 9C,D).
Tat.AG and HIV-1 CRF02_AG, but not Tat.B or clade-B viruses, induced NMT1 expression and secretion in human monocytes and MDM
Compared to cells exposed to HI-Tat, Tat.AG increased NMT1 expression in monocytes by 5.5–14.88-fold (Fig. 10A) and in MDM by 6–13-fold (Fig. 10B). Tat.B did not induce much NMT1 in monocytes or MDM. NMT1 levels in monocytes and MDM exposed to Tat.AG were respectively 7.6–19.4-fold (Fig. 10A) and 3.75–16.4-fold (Fig. 10B) higher than NMT1 levels in monocytes and MDM treated with similar concentrations of Tat.B. Time-course experiments confirmed these findings; whereas Tat.B treatment of monocytes or MDM for 6–24 hours(h) did not induce NMT1, Tat.AG time-dependently increased NMT1 expression and secretion: treatment with Tat.AG for 6 h, 12 h, and 24 h increased NMT1 expression respectively by 3-fold, 9.74-fold, and 17.09-fold in monocytes (Fig. 10C) and by 3–10.4-fold in MDM (Fig. 10D), compared to cells exposed to similar concentrations of HI-Tat. Tat.AG also significantly increased NMT1 expression in U38 cells compared to Tat.B (data not shown).
CRF02_AG viruses time-dependently increased NMT1 expression and secretion in monocytes and MDM. Exposure of human monocytes and MDM to AG viruses for 6–24 h increased NMT1 expression respectively by 3.7–9.2-fold (Fig. 10E,F) and by 4.97–8.5-fold (Fig. 10G,H); whereas exposure of monocytes and MDM to clade-B viruses at similar multiplicity of infection (MOI) increased NMT1 levels respectively by 1.3–3.35-fold (Fig. 10E,F) and by 1.94–2.7-fold (Fig. 10G,H). Overall NMT1 levels were 2.75–4.45-fold higher in monocytes (Fig. 10E,F) and 2.56–4.1-fold higher in MDM (Fig. 10G,H) exposed to AG viruses compared respectively to NMT1 levels in monocytes and MDM exposed to clade-B viruses.
Tat.AG and HIV-1 CRF02_AG, but not Tat.B or clade-B viruses, induce CKIIα expression in human monocytes and MDM
Compared to cells exposed to HI-Tat, Tat.AG increased CKIIα expression in monocytes by 1.8–3.5-fold (Fig. 11A) and in MDM by 1.4–4-fold (Fig. 11B). Tat.B did not significantly increase CKIIα expression in monocytes or MDM (Fig. 11A,B). CKIIα levels in monocytes and MDM exposed to Tat.AG were respectively 1.4–1.94-fold (Fig. 11A) and 1.2–3-fold (Fig. 11B) higher than CKIIα levels in monocytes and MDM treated with similar concentrations of Tat.B. Treatment of monocytes and MDM with Tat.AG for 6–24 h increased CKIIα expression respectively by 2.5–4.2-fold (Fig. 11C) and by 2.7–4.5-fold (Fig. 11D), compared to cells exposed to similar concentrations of HI-Tat proteins. Tat.AG also significantly increased CKIIα in U38 cells compared to Tat.B (data not shown).
HIV-1 CRF02_AG time-dependently increased CKIIα expression in monocytes and MDM. Exposure of human monocytes and MDM to AG viruses for 6–24 h increased CKIIα expression respectively by 1.95–8.7-fold (Fig. 11E,F) and by 2.8–5-fold (Fig. 11G,H); whereas exposure of monocytes and MDM to similar MOI of clade-B viruses did not significantly increase CKIIα levels (Fig. 11E–H). Overall CKIIα levels in monocytes and MDM exposed to AG viruses were respectively 1.57–6.67-fold (Fig. 11E,F) and 2.5–5-fold (Fig. 11G,H) higher than CKIIα levels in monocytes and MDM exposed to similar MOI of clade-B viruses.
Discussion
The epidemiology of HIV/AIDS is characterized by distinct and differential geographic subtypes distribution, with HIV-1 CRF02_AG prevalent throughout West and Central Africa5–7. This differential geographic distribution of HIV clades is likely associated with differences in viral fitness, transmission efficiency, replication capacity, and viral adaptation in a given environment. In the present study, we use cell lines, primary HIV-1 isolates, primary human PBMC, MDM, and in-vivo HIV/AIDS animal models to demonstrate significantly increased replication of HIV-1 CRF02_AG compared to clade-B isolates. In-vivo and ex-vivo data also showed higher plasma viremia and significantly higher viral load in the heart, kidney, liver, spleen, and lung tissues of AG-infected animals compared to animals infected with clade-B viruses; indicating a generalized increased replication of AG isolates throughout animals’ blood and tissues.
Previous studies in activated T-cells25 and PBMC24 also showed increased ex-vivo replicative fitness of CRF02_AG isolates compared to its parental HIV-1 subtypes A and G24,25 and independently of patient’s CD4 counts or co-receptor use25. It is therefore likely that the increased replication capacity of HIV-1 CRF02_AG is responsible for its predominance throughout West and Central Africa. The associated mechanisms are not known; elucidating the mechanisms responsible for this increased replication of HIV-1 CRF02_AG strains is critical to understanding viral epidemiology, including its transmission and propagation in Sub-Saharan Africa. In the present study, we show that in addition to the increased replication of CRF02_AG isolates in primary human cells and in-vivo, these AG isolates showed significantly higher LTR transactivation compared to clade-B viruses. Tat proteins are expressed early in the HIV life cycle and transactivate the LTR to induce the expression of HIV genes and viral replication. Our data showing significantly higher transactivation of HIV-1 LTR with Tat.AG, compared to Tat.B, further confirm that viral genotype influence the magnitude of LTR transactivation and viral replication.
Increased HIV-1 transactivation and viral replication are associated with histone acetylation and increased HAT activity; whereas decreased HIV-1 transactivation, lower viral replication, and viral latency are associated with histone deacetylation and increased histone deacetylase activity29–31. Our current study shows that increased transactivation and replication of CRF02_AG isolates correlated with increased HAT activity and acetylation of histone H3 and H4, with higher levels of acetylated H3 and H4 observed with Tat.AG, compared to Tat.B. These data suggest that the increased replicative capacity of CRF02_AG isolates involves epigenetic modifications, especially acetylation of histones H3 and H4 in the Nu-0 and Nu-1 of the viral promoter.
PTMs of proteins modulate their structure and function, including signaling and interactions with other molecules and co-factors. Our previous analyses of Tat sequences in plasma from over 100 HIV-1-infected subjects showed the presence of conserved PTMs in Tat functional domains, including CKII and N-myristoylation domains12, with CRF02_AG Tat sequences having two N-myristoylation domains (in the Core and N-terminal regions) and a CKII domain (in the glutamine-rich region) compared to Tat sequences from other HIV-1 subtypes12. Therefore, we investigated whether N-myristoylation and/or CKII play a role in the differential transactivation and viral replication observed. Analyses using two different cell types containing integrated silent copies of the HIV-1 promoter showed increased viral transactivation with Tat.AG compared to Tat.B, and further showed that silencing the NMT1 or CKIIα genes blocked Tat.AG-induced HIV transactivation but had no effect on Tat.B-induced viral transactivation; whereas silencing the NMT2 or CKIIβ genes had no effect on Tat.AG- or Tat.B-induced viral transactivation. Significantly, we showed that silencing the NMT1 or CKIIα genes blocked human macrophage infection by HIV-1 CRF02_AG isolates but had no effect on infection by clade-B isolates, and silencing the NMT2 or CKIIβ genes had no effect on macrophage infection by both viral subtypes.
CKII is a serine/threonine selective protein kinase that preferentially phosphorylate serine and threonine residues32,33, and has been shown to play a role in HIV infection and HIV/AIDS pathogenesis34. CKII-mediated phosphorylation of Rev, Vpu, and protease at serine residues facilitates viral infection, syncytia formation, and disease progression34–38. CKII-mediated phosphorylation of Rev serine residues also influences Vpu-CD4 interactions39,40; and mutations in the Vpu CKII site significantly altered its biological activity41. Our current data shows that CKIIα differentially mediates Tat transactivation and HIV replication based on viral genotype, with AG viruses more susceptible to CKIIα-mediated viral transactivation and replication compared to clade-B viruses. In the NFκB pathway, IκB phosphorylation and degradation results in NFκB translocation to the nucleus where it activates target genes42–44. HIV-1 has NFκB binding sites and this pathway play a major role in viral transactivation and replication45–47. CKII associates with IκBα, is required for basal and HIV-1-induced IκBα degradation48, and CKIIα phosphorylates IκBα at serine and threonine residues to induce IκBα degradation and NFκB signaling48. Our current study shows that this CKIIα subunit modulates the transactivation and replication of CR02_AG HIV-1 isolates, whereas the CKIIβ subunit has no effect, suggesting that targeting this alpha subunit could help abrogate the replication and expansion of AG isolates.
Myristoylation is a lipidic modification whereby a myristoyl group is covalently attached to an N-terminal glycine residue49. Myristoylation can occur co-translationally or post-translationally, and is catalyzed by NMT using myristoyl-coenzyme-A as substrate49. Higher eukaryotes have two NMT isozymes (NMT1 and NMT2) encoded by two genes that share about 70% similarity50. Myristoylation increases protein-protein interactions, guides protein sub-cellular localization, intra-cellular trafficking, signaling, and immune responses49,51. Myristoylation has been shown to play an important role in cell viability, cell survival, innate and adaptive immune response, and HIV infection49,52,53. Myristoylation is critical for HIV-1 Nef function and is involved in Nef-CD4 interactions54,55. Myristoylation also play a major role in Gag function and disrupting Gag myristoylation block HIV-1 replication, formation and release of new virions56–58. In fact, NMT targets Gag on the cell membrane57,58 and this Gag myristoylation enables protein-protein and protein-lipid interactions, resulting in the recruitment of Gag, viral RNA and proteins to the host’ cellular membrane and budding of new virions56,57,59. It has also been shown that NMT1 is the predominant isoform involved in Nef-CD4 interactions60 and HIV-1 production61. Our current study shows that NMT1 modulates the transactivation and replication of CR02_AG HIV-1 isolates, suggesting that targeting NMT1 could help abrogate the transactivation and replication of AG isolates.
The potential implications of this higher replicative fitness of HIV-1 CRF02_AG are significant, because higher AG replicative fitness can influence viral transmission and HIV/AIDS epidemiology. In fact, it has been shown that increased AG replicative fitness also influence its transmission in humans. Monitoring of at-risk seronegative women in West-Africa showed that among subjects who became seropositive, those infected with HIV-1 CRF02_AG had significantly higher viral loads during the early stages of infection compared to those infected with non-AG HIV-162. Studies of HIV-infected humans in Sub-Saharan Africa showed that higher HIV replication capacity was associated with differential inflammatory states and increased T-cells activation63, increased risk of HIV transmission to other humans, including increased risk of mother-to-child transmission64, and that there was a positive correlation between high ex-vivo HIV replicative capacity and the magnitude of viral burden in-vivo63.
Paradoxically, higher viral loads in HIV-1 CRF02_AG-infected animals did not correlate with increased immunosuppression or wasting syndrome, as animals infected with HIV-1 subtype-B showed significantly more weight loss, lower hCD4+ T-cells and lower hCD4/hCD8 ratios. This suggest that factors other than viremia may be playing a role in HIV-associated immunosuppression and weight loss. Inflammation could be one such factor, as we previously showed differential inflammatory effects of Tat based on viral subtypes, including significant increase in inflammatory cytokines, chemokines, and matrix metalloproteinases, as well as increase and activation of complement factors in primary human brain endothelial cells exposed to Tat.B, compared to cells exposed to Tat.AG19,20. Our subsequent studies will investigate the association between inflammation, immunosuppression, and wasting syndrome between these viral subtypes.
Taken together, our current data showed significantly higher replication of HIV-1 CRF02_AG in-vitro and in-vivo, compared to HIV-1 subtype-B, and provide insights into the molecular mechanisms by which epigenetics, CKII-alpha, and NMT1 modulates this increased replication of CRF02_AG viruses. The fact that silencing the NMT1 and CKIIα genes blocked the infection of human cells by HIV-1 CRF02_AG but not clade-B viruses, suggests that the additional N-myristoylation and CKII domains present in Tat.AG sequences are functional and directly modulate the replication of CRF02_AG viruses. Such genetic differences should be considered when designing strategies to curb HIV replication. Our current studies have implications for viral eradication strategies and HIV/AIDS epidemiology, including the transmission, adaptation, and predominance of this recombinant virus across West-Central Africa.
Materials and Methods
Human monocytes, MDM, PBMC, PBL cultures
Monocytes, PBMC, and PBL were obtained by countercurrent centrifugal elutriation of leukopheresis packs from HIV-1, -2 and hepatitis-B seronegative donors (obtained from the Omaha American Red Cross), and cultured as previously described65,66. To obtain MDM, freshly elutriated monocytes (2 million cells per well in 6-well plates) were differentiated into MDM by culture for 7 days in Dulbecco’s Modified Eagle’s Medium (DMEM, Sigma, St. Louis, MO) supplemented with 10% heat-inactivated pooled human serum, 1% glutamine, 50 µg/ml gentamicin, 10 µg/ml ciprofloxacin (Sigma), 1000 U/ml highly purified recombinant human macrophage colony stimulating factor (hMCSF), and cultured as we previously described65,66. All reagents were prescreened for endotoxin (<10 pg/ml, Associates of Cape Cod, Woods Hole, MA) and mycoplasma contamination (Gen-probe II, Gen-probe, San Diego, CA). For cells from each donor, each experimental condition was performed in triplicate, and experiments were repeated using cells from two other donors (minimum of 3 different donors).
HIV-1 infection
HIV-1 clade-B and CRF-02_AG were used. The clade-B isolates [and their GenBank accession numbers] were: MN (84US_MNp [M17449]), Ba-L (85US_Ba-L [AY713409]), US1 (91US_1 [AY173952]), US4 (91US_4 [AY173955]), US33393 (94US_33931N [AY713410]), US873 (90US_873 [AY713412]), BX08 (92FR_BX08 [AY713411])67, and the laboratory-adapted HIV-1ADA47,65. The primary HIV-1 CRF02_AG isolates were: AG-1 (CMNYU2103), AG-2 (02_CM0014BBY [AY371126]), AG-3 (02CM_1970LE [AY371128]), AG-4 (01CM_1475MV [AY371138]), AG-5 (01CMNYU5466 [AY359796])67,68.
Primary HIV-1 strains were propagated in phytohemagglutinin-stimulated human PBMC and titrated as previously described47,69. For infections, cells were cultured in media containing HIV-1 for 4 h (each viral strain at MOI of 0.01; each experimental condition tested in triplicate), washed 3 times with serum-free media and cultured for up to 21 days, with culture media changed every 2 or 3 days. RT activity was quantified as we previously described47.
Tat.AG and Tat.B
Recombinant Tat proteins from a subtype-B HIV-1 isolate (Tat.B) (amino acids 1 to 86; accession number: P69697) were purchased from Diatheva (Viale Piceno, Fano, Italy). Recombinant Tat proteins from HIV-1 CRF02_AG (Tat.AG) (amino acids 1 to 86; accession number: AY371128) were made by Diatheva under a custom-order agreement with our laboratory, using similar procedures as for Tat.B19,20. For controls, HIV-1 Tat proteins were heat-inactivated at 100 °C for 30 minutes (min), cooled down and centrifuged at 78 g for 5 min to recover all of the solution. Protein aliquots were stored at −80 °C.
U38 and TZM-bl cells
Monocytic U38 cells are derivative of U937 cells that contains stably integrated, silent copies of the HIV-1 LTR linked to the chloramphenicol acetyltransferase (CAT) gene. TZM-bl cells stably express large amounts of CD4 and CCR5 and contain integrated copies of the luciferase and β-galactosidase genes under the control of the HIV-1 promoter. U38 and TZM-bl cells were obtained from the NIH AIDS Research and Reference Program and cultured as previously described47.
Histone acetyltransferase (HAT) assay
Following infection and cellular treatment, nuclear extracts were prepared using the Epigentek nuclear extraction kit (Epigentek, Farmingdale, NY) and total HAT activity in nuclear extracts (20 μg protein) quantified using the EpiQuikTM HAT Activity /Inhibition Assay Kit (Epigentek) as previously described47.
Chromatin immunoprecipitation (ChIP) analysis
ChIP assays were performed using the ChromaFlashTM Chromatin Extraction Kit and ChromaFlashTM One-Step ChIP kit (Epigentek) as we previously described47. Briefly, following treatment, cells pellets were resuspended in ice-cold phosphate-buffered saline (PBS) containing 0.5 mM phenylmethylsulphonyl fluoride, and cellular chromatin was sheared using a closed system ultrasonic cell disruptor (MicrosonTM, Qsonica LLC, Newtown, CT). Sheared samples were centrifuged (17,606 g, 10 min at 4 °C) and chromatin aliquots (supernatants) immunoprecipitated with acetylated H3 and H4 antibodies (Active Motif, Carlsbad, CA) using ChromaFlashTM One-Step ChIP kit (Epigentek), per manufacturer’s protocol. Controls included aliquots (10%) of each sheared chromatin (“input” DNA control) and chromatin samples immunoprecipitated with isotype-matched control IgG. Immunoprecipitated samples were amplified by PCR using LTR-specific primers. PCR cycle was as follows: 95 °C, 3 min denaturation; followed by 30 cycles of 95 °C, 20 sec, 55 °C, 20 sec, and 72 °C, 8 sec; 72 °C, 1 min, and hold at 10 °C. Amplified samples were analyzed by agarose gel electrophoresis using 2.5% agarose, and images captured using the G-BOX gel-doc system (Syngene).
Chloramphenicol acetyltransferase (CAT) and iuciferase assays
Following treatment, U38 cells were washed with PBS, lysed using the lysis buffer of the CAT-ELISA kit (Roche Diagnostics Indianapolis, IN), and protein levels quantified using the bicinchoninic acid assay (BCA) assay65. The amount of CAT enzyme in each sample (150 μg protein) was quantified as we previously described47, using the CAT-ELISA kit and standards (Roche) per manufacturer’s protocol.
The luciferase reporter assay was performed as previously described47 using the Luciferase Assay System (Promega, Madison, WI), per manufacturer’s protocol. Briefly, following treatment, cells were washed with PBS, and lysed using the Luciferase Assay Reporter System lysis reagent. Cell lysates (20 μl containing 50 μg proteins) were mixed with 100 μl Luciferase Assay Reagent and luciferase activity was measured using SpectraMax-M5 microplate reader (Molecular Devices, Sunnyvale, CA).
RNA extraction
Total RNA was extracted from treated cells or animal tissues using the Trizol reagent (Life Technologies-Ambion, Austin, TX), per manufacturer’s protocol. The RNA was further cleaned using Total RNA cleanup kit (Qiagen, Valencia, CA). RNA yield and quality were checked using a NanoDrop spectrophotometer (NanoDrop Technologies, Wilmington, DE) and for all samples, absorbance ratio of 260/280 was ≥2.
Real-time PCR
Each experimental condition was tested in triplicate and for each replicate sample, cDNA was generated from 1 μg RNA in a 20 μl reaction volume, using the Verso cDNA kit (Thermo Fisher) per manufacturer’s protocol. Reverse transcription and qPCR were performed as previously described47,70, using LightCycler® 480 II (Roche) Real-Time PCR System. Human CD45 and CD4 qPCR was used as internal controls to normalize gene expression. These controls were used at the same primer-probe ratio as the target genes (900 nM of each primer and 250 nM TaqMan MGB probe).
ACH-2 cells were used for normalization based on hCD45+ cells levels in tissues. ACH-2, an HIV-1 latent T-cell clone containing one integrated copy of proviral DNA per cell, was obtained from the NIH AIDS Reagent Program. Standard curves from ACH-2 qPCR were used to quantify HIV-1 LTR, pol, tat, and gag copy numbers in each sample, and results were further normalized to levels of human CD45 cells in each tissue sample. For normalization based on hCD4+ cells levels in tissues, qPCR for hCD4 and HIV-1 LTR, pol, tat, gag was performed for each tissue sample and gene expression levels were quantified using the cycle threshold (ΔCT) method as described in the software user manual of LightCycler® 480 II Real-Time PCR System. Each viral gene expression was normalized to the sample hCD4. All PCR reagents, primers, and probes were from Applied Biosystems, and primers’ IDs were as follows: LTR (AIWR3QG), pol (AIY9Z2W), tat (AIX01W0), gag (AIo1X84), CD45 (Hs04189704), and CD4 (Hs01058407).
Hu-PBL-NSG mice model
Four-week old NOD/scid–IL-2Rγcnull (NSG) mice were purchased from the Jackson Laboratory (Bar Harbor, ME), maintained in sterile microisolator cages under pathogen-free conditions in accordance with UNMC and NIH ethical guidelines for care of laboratory animals, and bred at the UNMC animal facility to expand the colony. This study was performed under a protocol approved by the UNMC Institutional Animal Care and Use Committee. Mice, 4 to 6 weeks old male, were engrafted by intra-peritoneal (i.p.) injection of human PBL (30 × 106 cells/mouse). One week after PBL injection, levels of human CD45 cells in each mouse’s blood sample were quantified by FACS to confirm engraftment. Engrafted animals were randomly assigned into 7 groups (10–12 mice per group): a non-infected control group, 3 groups infected with 3 different HIV-1 CRF02_AG strains (AG-3, AG-4, AG-5), and 3 groups infected with 3 different HIV-1 clade-B strains (Ba-L, US1, BX08). For infection, a single dose of 104 tissue culture infectious doses-50 (200 μl) of the corresponding HIV-1 strain was injected (i.p.) to animals. Controls were mock-infected by i.p. injection of PBS (200 μl). Animals’ blood samples were collected and analyzed at week-1, -2, -3 p.i. Animals were sacrificed at week-3 p.i. and tissues samples harvested and analyzed.
FACS analysis
Human (hCD4+, hCD8+, hCD3+, and hCD45+) cells in animal’s blood were quantified by FACS, using the following anti-human antibodies: CD45-PE-Cy7, CD8-APC, CD4-FITC and CD3-Pacific blue (Biolegend, San Diego, CA). Briefly, blood (200 μl) collected in EDTA-tubes were centrifuged (543 g, 8 min), plasma collected and cryopreserved, cell pellets resuspended in 50–200 μl FACS buffer (PBS containing 2% fetal bovine serum) and transferred into 5 ml polypropylene round-bottom tubes (BD Falcon, Franklin Lakes, NJ). Antibody cocktail including CD45-PE-Cy7, CD8-APC, CD4-FITC and CD3-Pacific blue was added to each sample and the mixture incubated 1 h on ice. One ml red blood cells lysis buffer (Roche) was then added to each sample, followed by 5 min incubation at RT and centrifugation (377 g, 5 min). Cells pellets were washed 4 times using the FACS buffer, and resuspended in PBS containing 2% paraformaldehyde and analyzed using BD LSRII and FACSDiva 8.0.
HIV-1 p24 ELISA
HIV-1 p24 antigen levels in each plasma sample (100 µl) were quantified using the Quantikine HIV-1 Gag p24 immunoassay kit (R&D systems, Minneapolis, MN) per manufacturer’s protocol; with optical density (OD) readings at 450 nm and wavelength corrections at 540 nm, using a SpectraMax-M5. Standard curves from HIV-1 Gag p24 antigen standards were used to quantify samples p24 antigen levels.
N-myristoyltransferase-1 and CKIIα ELISA
Monocytes and MDM in 96-well plates (1 × 106 cells/well) were exposed to Tat or HIV-1 for 6–24 h; culture supernatants were then used for NMT1 ELISA and cells used for CKIIα ELISA. NMT1 levels in supernatants (100 µl) were quantified using the human NMT1 ELISA Kit (Aviva Systems Biology, San Diego, CA) per manufacturer’s protocol. For CKIIα, cells were washed, fixed for 20 min in 4% (MDM) or 8% (monocytes) paraformaldehyde, quenched, and CKIIα levels quantified using the human CKIIα ELISA kit (Aviva), per manufacturer’s protocol. OD readings were at 450 nm with wavelength corrections at 540 nm. CKIIα analyses were performed using anti-CKIIα or anti-GAPDH antibody and each sample’s CKIIα OD reading was normalized to its’ GAPDH OD value. NMT1 standards were used to quantify samples’ NMT1 levels.
Short hairpin RNA (shRNA) and gene silencing
Knockdown of NMT1, NMT2, CKIIα and CKIIβ genes was performed using transduction ready shRNA containing 3 target-specific constructs that encoded 19–25 nucleotide (plus hairpin) shRNA designed to knockdown gene expression: NMT1 (sc-61132-V), NMT2 (sc-61134-V), CKIIα (sc-29918-V), and CKIIβ (sc-29916-V) (Santa Cruz Biotechnology, Dallas, TX). Each experiment also included control shRNA lentiviral particles (sc-108080, Santa Cruz Biotechnology) containing an shRNA construct encoding a scrambled sequence that was not expected to degrade any known cellular mRNA. Lentiviral transductions were performed using Polybrene Reagent (Santa Cruz Biotechnology) per manufacturer’s protocol. Gene knockdown was monitored by Western blot and RT-PCR, using the following Santa Cruz primers: NMT1 (h)-PR (sc-61132-PR), NMT2 (h)-PR (sc-61134-PR), CKIIα′ (h)-PR (sc-38963-PR), CKIIβ (h)-PR (sc-29916-PR), and β-Actin (h)-PR (sc-108069-PR) per manufacturer’s instructions.
Western blot analysis
Cells were lysed using the mammalian cell lysis buffer CelLytic M (Sigma); total protein quantified using the BCA assay, and 30 μg protein analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis as previously described47,65 using monoclonal antibodies to NMT1, NMT2, CKIIα and CKIIβ (Santa Cruz). β-actin antibody (Abcam, Cambridge, MA) was used to confirm equal loading.
Statistical analyses
Data were analyzed by unpaired t-test (two-tailed) for two-group comparisons. For multiple groups comparisons, data were analyzed by one-way ANOVA followed by Tukey’s multiple-comparisons tests; or by two-way RM ANOVA followed by Bonferroni or Sidak’s multiple-comparisons tests. GraphPad Prism 7.0d (GraphPad Software, La Jolla, CA) was used for analyses and the threshold of significance level was 0.05. Data are presented as means ± standard deviation (SD) or standard error of the mean (SEM).
Ethical approval
Animal studies were conducted using an approved IACUC protocol, in accordance with UNMC and NIH ethical guidelines for care of laboratory animals.
Acknowledgements
This work was supported by grant from the National Institute of Health, National Institute of Mental Health R01 MH094160 (to G.D.K.). We thank the NIH AIDS Research and Reference Reagent Program for providing U38, TZM-bl and ACH-2 cells, as well as clade-B and HIV-1 CRF02_AG isolates. We thank the late Dr. Phillipe Nyambi for providing additional primary HIV-1 CRF02_AG isolates.
Author Contributions
B.B. carried out ChIP and immunoassays, siRNA, RT-PCR, qPCR, RT assays, Western blot, NSG mice infection, specimen collection and analysis; participated in the making of Figures, data analysis and writing the methods and results. G.D.K. conceived and designed the study, carried out NSG mice infection and specimen collection, participated in the making of Figures, data analysis, and wrote the manuscript.
Data Availability
All data associated with this manuscript are available upon request.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Anastassopoulou CG, Kostrikis LG. Global genetic variation of HIV-1 infection. Curr HIV Res. 2006;4:365–373. doi: 10.2174/157016206777709456. [DOI] [PubMed] [Google Scholar]
- 2.Eberle J, Gurtler L. HIV types, groups, subtypes and recombinant forms: errors in replication, selection pressure and quasispecies. Intervirology. 2012;55:79–83. doi: 10.1159/000331993. [DOI] [PubMed] [Google Scholar]
- 3.Nijhuis, M., van Maarseveen, N. M. & Boucher, C. A. Antiviral resistance and impact on viral replication capacity: evolution of viruses under antiviral pressure occurs in three phases. Handb Exp Pharmacol, 299–320, 10.1007/978-3-540-79086-0_11 (2009). [DOI] [PubMed]
- 4.Palaniappan C, Wisniewski M, Wu W, Fay PJ, Bambara RA. Misincorporation by HIV-1 reverse transcriptase promotes recombination via strand transfer synthesis. The Journal of biological chemistry. 1996;271:22331–22338. doi: 10.1074/jbc.271.37.22331. [DOI] [PubMed] [Google Scholar]
- 5.Robertson DL, et al. HIV-1 nomenclature proposal. Science. 2000;288:55–56. doi: 10.1126/science.288.5463.55d. [DOI] [PubMed] [Google Scholar]
- 6.LANL. HIV and SIV Nomenclature. HIV sequence database, https://www.hiv.lanl.gov/content/sequence/HelpDocs/subtypes-more.html (2017).
- 7.LANL. HIV Circulating Recombinant Forms (CRFs). HIV sequence database, http://www.hiv.lanl.gov/content/sequence/HIV/CRFs/CRFs.html (2018).
- 8.UNAIDS. Fact Sheet 2015: Global Statistics, http://www.unaids.org/sites/default/files/media_asset/20150901_FactSheet_2015_en.pdf (2015).
- 9.WHO/UNAIDS. AIDS by the numbers 2015, http://www.unaids.org/en/resources/documents/2015/AIDS_by_the_numbers_2015 (2015).
- 10.Montavon C, et al. Most env and gag subtype A HIV-1 viruses circulating in West and West Central Africa are similar to the prototype AG recombinant virus IBNG. J Acquir Immune Defic Syndr. 2000;23:363–374. doi: 10.1097/00042560-200004150-00001. [DOI] [PubMed] [Google Scholar]
- 11.Brennan CA, et al. The prevalence of diverse HIV-1 strains was stable in Cameroonian blood donors from 1996 to 2004. J Acquir Immune Defic Syndr. 2008;49:432–439. doi: 10.1097/QAI.0b013e31818a6561. [DOI] [PubMed] [Google Scholar]
- 12.Teto Georges, Fonsah Julius, Tagny Claude, Mbanya Dora, Nchindap Emilienne, Kenmogne Leopoldine, Fokam Joseph, Njamnshi Dora, Kouanfack Charles, Njamnshi Alfred, Kanmogne Georgette. Molecular and Genetic Characterization of HIV-1 Tat Exon-1 Gene from Cameroon Shows Conserved Tat HLA-Binding Epitopes: Functional Implications. Viruses. 2016;8(7):196. doi: 10.3390/v8070196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Teto G, et al. Gag P2/NC and pol genetic diversity, polymorphism, and drug resistance mutations in HIV-1 CRF02_AG- and non-CRF02_AG-infected patients in Yaounde, Cameroon. Sci Rep. 2017;7:14136. doi: 10.1038/s41598-017-14095-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.PRB. 2016 World Population Data Sheet. World Population Data, https://www.prb.org/wp-content/uploads/2016/08/prb-wpds2016-web-2016.pdf (2016).
- 15.Bannwarth S, Gatignol A. HIV-1 TAR RNA: the target of molecular interactions between the virus and its host. Curr HIV Res. 2005;3:61–71. doi: 10.2174/1570162052772924. [DOI] [PubMed] [Google Scholar]
- 16.Gupta S, Mitra D. Human immunodeficiency virus-1 Tat protein: immunological facets of a transcriptional activator. Indian J Biochem Biophys. 2007;44:269–275. [PubMed] [Google Scholar]
- 17.Walker BD, Korber BT. Immune control of HIV: the obstacles of HLA and viral diversity. Nat Immunol. 2001;2:473–475. doi: 10.1038/88656. [DOI] [PubMed] [Google Scholar]
- 18.Kaur G, Mehra N. Genetic determinants of HIV-1 infection and progression to AIDS: immune response genes. Tissue Antigens. 2009;74:373–385. doi: 10.1111/j.1399-0039.2009.01337.x. [DOI] [PubMed] [Google Scholar]
- 19.Woollard SM, Bhargavan B, Yu F, Kanmogne GD. Differential effects of Tat proteins derived from HIV-1 subtypes B and recombinant CRF02_AG on human brain microvascular endothelial cells: implications for blood-brain barrier dysfunction. J Cereb Blood Flow Metab. 2014;34:1047–1059. doi: 10.1038/jcbfm.2014.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bhargavan B, Kanmogne GD. Differential Mechanisms of Inflammation and Endothelial Dysfunction by HIV-1 Subtype-B and Recombinant CRF02_AG Tat Proteins on Human Brain Microvascular Endothelial Cells: Implications for Viral Neuropathogenesis. Molecular neurobiology. 2018;55:1352–1363. doi: 10.1007/s12035-017-0382-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ranga U, et al. Tat protein of human immunodeficiency virus type 1 subtype C strains is a defective chemokine. J Virol. 2004;78:2586–2590. doi: 10.1128/JVI.78.5.2586-2590.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kaleebu P, et al. Relationship between HIV-1 Env subtypes A and D and disease progression in a rural Ugandan cohort. AIDS. 2001;15:293–299. doi: 10.1097/00002030-200102160-00001. [DOI] [PubMed] [Google Scholar]
- 23.Vasan A., Renjifo B., Hertzmark E., Chaplin B., Msamanga G., Essex M., Fawzi W., Hunter D. Different Rates of Disease Progression of HIV Type 1 Infection in Tanzania Based on Infecting Subtype. Clinical Infectious Diseases. 2006;42(6):843–852. doi: 10.1086/499952. [DOI] [PubMed] [Google Scholar]
- 24.Konings FA, et al. Human immunodeficiency virus type 1 (HIV-1) circulating recombinant form 02_AG (CRF02_AG) has a higher in vitro replicative capacity than its parental subtypes A and G. J Med Virol. 2006;78:523–534. doi: 10.1002/jmv.20572. [DOI] [PubMed] [Google Scholar]
- 25.Njai HF, et al. The predominance of Human Immunodeficiency Virus type 1 (HIV-1) circulating recombinant form 02 (CRF02_AG) in West Central Africa may be related to its replicative fitness. Retrovirology. 2006;3:40. doi: 10.1186/1742-4690-3-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Denton PW, Garcia JV. Humanized mouse models of HIV infection. AIDS Rev. 2011;13:135–148. [PMC free article] [PubMed] [Google Scholar]
- 27.Li H, Singh S, Potula R, Persidsky Y, Kanmogne GD. Dysregulation of claudin-5 in HIV-induced interstitial pneumonitis and lung vascular injury. Protective role of peroxisome proliferator-activated receptor-gamma. Am J Respir Crit Care Med. 2014;190:85–97. doi: 10.1164/rccm.201106-1151OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Akkina R, et al. Improvements and Limitations of Humanized Mouse Models for HIV Research: NIH/NIAID “Meet the Experts” 2015 Workshop Summary. AIDS research and human retroviruses. 2016;32:109–119. doi: 10.1089/AID.2015.0258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kiernan RE, et al. HIV-1 tat transcriptional activity is regulated by acetylation. EMBO J. 1999;18:6106–6118. doi: 10.1093/emboj/18.21.6106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lusic M, Marcello A, Cereseto A, Giacca M. Regulation of HIV-1 gene expression by histone acetylation and factor recruitment at the LTR promoter. EMBO J. 2003;22:6550–6561. doi: 10.1093/emboj/cdg631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kilareski EM, Shah S, Nonnemacher MR, Wigdahl B. Regulation of HIV-1 transcription in cells of the monocyte-macrophage lineage. Retrovirology. 2009;6:118. doi: 10.1186/1742-4690-6-118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Meggio F, Pinna LA. One-thousand-and-one substrates of protein kinase CK2? FASEB journal: official publication of the Federation of American Societies for Experimental Biology. 2003;17:349–368. doi: 10.1096/fj.02-0473rev. [DOI] [PubMed] [Google Scholar]
- 33.Mulekar JJ, Huq E. Expanding roles of protein kinase CK2 in regulating plant growth and development. J Exp Bot. 2014;65:2883–2893. doi: 10.1093/jxb/ert401. [DOI] [PubMed] [Google Scholar]
- 34.Critchfield JW, Coligan JE, Folks TM, Butera ST. Casein kinase II is a selective target of HIV-1 transcriptional inhibitors. Proc Natl Acad Sci USA. 1997;94:6110–6115. doi: 10.1073/pnas.94.12.6110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Meggio F, D’Agostino DM, Ciminale V, Chieco-Bianchi L, Pinna LA. Phosphorylation of HIV-1 Rev protein: implication of protein kinase CK2 and pro-directed kinases. Biochem Biophys Res Commun. 1996;226:547–554. doi: 10.1006/bbrc.1996.1392. [DOI] [PubMed] [Google Scholar]
- 36.Haneda E, Furuya T, Asai S, Morikawa Y, Ohtsuki K. Biochemical characterization of casein kinase II as a protein kinase responsible for stimulation of HIV-1 protease in vitro. Biochem Biophys Res Commun. 2000;275:434–439. doi: 10.1006/bbrc.2000.3319. [DOI] [PubMed] [Google Scholar]
- 37.Meggio F, Marin O, Boschetti M, Sarno S, Pinna LA. HIV-1 Rev transactivator: a beta-subunit directed substrate and effector of protein kinase CK2. Mol Cell Biochem. 2001;227:145–151. doi: 10.1023/A:1013177326481. [DOI] [PubMed] [Google Scholar]
- 38.Singh DK, et al. The presence of the casein kinase II phosphorylation sites of Vpu enhances the CD4(+) T cell loss caused by the simian-human immunodeficiency virus SHIV(KU-lbMC33) in pig-tailed macaques. Virology. 2003;313:435–451. doi: 10.1016/S0042-6822(03)00339-8. [DOI] [PubMed] [Google Scholar]
- 39.Willey RL, Maldarelli F, Martin MA, Strebel K. Human immunodeficiency virus type 1 Vpu protein induces rapid degradation of CD4. J Virol. 1992;66:7193–7200. doi: 10.1128/jvi.66.12.7193-7200.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Margottin F, et al. Interaction between the cytoplasmic domains of HIV-1 Vpu and CD4: role of Vpu residues involved in CD4 interaction and in vitro CD4 degradation. Virology. 1996;223:381–386. doi: 10.1006/viro.1996.0491. [DOI] [PubMed] [Google Scholar]
- 41.Schubert U, et al. The human immunodeficiency virus type 1 encoded Vpu protein is phosphorylated by casein kinase-2 (CK-2) at positions Ser52 and Ser56 within a predicted alpha-helix-turn-alpha-helix-motif. J Mol Biol. 1994;236:16–25. doi: 10.1006/jmbi.1994.1114. [DOI] [PubMed] [Google Scholar]
- 42.Perkins ND. Post-translational modifications regulating the activity and function of the nuclear factor kappa B pathway. Oncogene. 2006;25:6717–6730. doi: 10.1038/sj.onc.1209937. [DOI] [PubMed] [Google Scholar]
- 43.Hayden MS, Ghosh S. Shared principles in NF-kappaB signaling. Cell. 2008;132:344–362. doi: 10.1016/j.cell.2008.01.020. [DOI] [PubMed] [Google Scholar]
- 44.Sun SC, Ley SC. New insights into NF-kappaB regulation and function. Trends Immunol. 2008;29:469–478. doi: 10.1016/j.it.2008.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hiscott J, Kwon H, Genin P. Hostile takeovers: viral appropriation of the NF-kappaB pathway. J Clin Invest. 2001;107:143–151. doi: 10.1172/JCI11918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Stroud JC, Oltman A, Han A, Bates DL, Chen L. Structural basis of HIV-1 activation by NF-kappaB–a higher-order complex of p50:RelA bound to the HIV-1 LTR. J Mol Biol. 2009;393:98–112. doi: 10.1016/j.jmb.2009.08.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bhargavan B, Woollard SM, Kanmogne GD. Toll-like receptor-3 mediates HIV-1 transactivation via NFkappaB and JNK pathways and histone acetylation, but prolonged activation suppresses Tat and HIV-1 replication. Cell Signal. 2016;28:7–22. doi: 10.1016/j.cellsig.2015.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.McElhinny JA, Trushin SA, Bren GD, Chester N, Paya CV. Casein kinase II phosphorylates I kappa B alpha at S-283, S-289, S-293, and T-291 and is required for its degradation. Mol Cell Biol. 1996;16:899–906. doi: 10.1128/MCB.16.3.899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Udenwobele DI, et al. Myristoylation: An Important Protein Modification in the Immune Response. Frontiers in immunology. 2017;8:751. doi: 10.3389/fimmu.2017.00751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Giang DK, Cravatt BF. A second mammalian N-myristoyltransferase. The Journal of biological chemistry. 1998;273:6595–6598. doi: 10.1074/jbc.273.12.6595. [DOI] [PubMed] [Google Scholar]
- 51.McIlhinney RA. Membrane targeting via protein N-myristoylation. Methods Mol Biol. 1998;88:211–225. doi: 10.1385/0-89603-487-9:211. [DOI] [PubMed] [Google Scholar]
- 52.Wright MH, Heal WP, Mann DJ, Tate EW. Protein myristoylation in health and disease. J Chem Biol. 2010;3:19–35. doi: 10.1007/s12154-009-0032-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Martin DD, Beauchamp E, Berthiaume LG. Post-translational myristoylation: Fat matters in cellular life and death. Biochimie. 2011;93:18–31. doi: 10.1016/j.biochi.2010.10.018. [DOI] [PubMed] [Google Scholar]
- 54.Mariani R, Skowronski J. CD4 down-regulation by nef alleles isolated from human immunodeficiency virus type 1-infected individuals. Proc Natl Acad Sci USA. 1993;90:5549–5553. doi: 10.1073/pnas.90.12.5549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Peng B, Robert-Guroff M. Deletion of N-terminal myristoylation site of HIV Nef abrogates both MHC-1 and CD4 down-regulation. Immunology letters. 2001;78:195–200. doi: 10.1016/S0165-2478(01)00250-4. [DOI] [PubMed] [Google Scholar]
- 56.Gottlinger HG, Sodroski JG, Haseltine WA. Role of capsid precursor processing and myristoylation in morphogenesis and infectivity of human immunodeficiency virus type 1. Proc Natl Acad Sci USA. 1989;86:5781–5785. doi: 10.1073/pnas.86.15.5781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Bouamr F, Scarlata S, Carter C. Role of myristylation in HIV-1 Gag assembly. Biochemistry. 2003;42:6408–6417. doi: 10.1021/bi020692z. [DOI] [PubMed] [Google Scholar]
- 58.Resh MD. A myristoyl switch regulates membrane binding of HIV-1 Gag. Proc Natl Acad Sci USA. 2004;101:417–418. doi: 10.1073/pnas.0308043101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Tritel M, Resh MD. Kinetic analysis of human immunodeficiency virus type 1 assembly reveals the presence of sequential intermediates. J Virol. 2000;74:5845–5855. doi: 10.1128/JVI.74.13.5845-5855.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Hill BT, Skowronski J. Human N-myristoyltransferases form stable complexes with lentiviral nef and other viral and cellular substrate proteins. J Virol. 2005;79:1133–1141. doi: 10.1128/JVI.79.2.1133-1141.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Takamune N, et al. HIV-1 production is specifically associated with human NMT1 long form in human NMT isozymes. Microbes and infection / Institut Pasteur. 2008;10:143–150. doi: 10.1016/j.micinf.2007.10.015. [DOI] [PubMed] [Google Scholar]
- 62.Sarr AD, et al. Viral dynamics of primary HIV-1 infection in Senegal, West Africa. The Journal of infectious diseases. 2005;191:1460–1467. doi: 10.1086/429409. [DOI] [PubMed] [Google Scholar]
- 63.Claiborne DT, et al. Replicative fitness of transmitted HIV-1 drives acute immune activation, proviral load in memory CD4+ T cells, and disease progression. Proc Natl Acad Sci USA. 2015;112:E1480–1489. doi: 10.1073/pnas.1421607112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Eshleman SH, et al. Association between the replication capacity and mother-to-child transmission of HIV-1, in antiretroviral drug-naive Malawian women. The Journal of infectious diseases. 2006;193:1512–1515. doi: 10.1086/503810. [DOI] [PubMed] [Google Scholar]
- 65.Chaudhuri A., Yang B., Gendelman H. E., Persidsky Y., Kanmogne G. D. STAT1 signaling modulates HIV-1-induced inflammatory responses and leukocyte transmigration across the blood-brain barrier. Blood. 2007;111(4):2062–2072. doi: 10.1182/blood-2007-05-091207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Woollard SM, Li H, Singh S, Yu F, Kanmogne GD. HIV-1 induces cytoskeletal alterations and Rac1 activation during monocyte-blood-brain barrier interactions: modulatory role of CCR5. Retrovirology. 2014;11:20. doi: 10.1186/1742-4690-11-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Brown BK, et al. Biologic and genetic characterization of a panel of 60 human immunodeficiency virus type 1 isolates, representing clades A, B, C, D, CRF01_AE, and CRF02_AG, for the development and assessment of candidate vaccines. J Virol. 2005;79:6089–6101. doi: 10.1128/JVI.79.10.6089-6101.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Konings FA, et al. Protease mutations in HIV-1 non-B strains infecting drug-naive villagers in Cameroon. AIDS research and human retroviruses. 2004;20:105–109. doi: 10.1089/088922204322749558. [DOI] [PubMed] [Google Scholar]
- 69.Schuitemaker H, Kootstra NA. Isolation, propagation, and titration of human immunodeficiency virus type 1 from peripheral blood of infected individuals. Methods Mol Biol. 2005;304:17–24. doi: 10.1385/1-59259-907-9:017. [DOI] [PubMed] [Google Scholar]
- 70.Bhargavan B, Kanmogne GD. Toll-Like Receptor-3 Mediates HIV-1-Induced Interleukin-6 Expression in the Human Brain Endothelium via TAK1 and JNK Pathways: Implications for Viral Neuropathogenesis. Molecular neurobiology. 2018;55:5976–5992. doi: 10.1007/s12035-017-0816-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data associated with this manuscript are available upon request.