Abstract
Delta9-tetrahydrocannabinol (Δ9-THC) is the major psychoactive component of the cannabis plant. Δ9-THC has been used in the active ingredient of Marinol as an appetite stimulant for AIDS patients. Its impact on progression of HIV-1 infection, however, remains debatable. Previous studies indicated that Δ9-THC administration enhanced HIV-1 infection in huPBL-SCID mice but seemingly decreased early mortality in simian immunodeficiency virus (SIV) infected male Indian-derived rhesus macaques. Here, we determine the chronic effect of Δ9-THC administration (0.32mg/kg or placebo-PBO, i.m., twice daily for 428 days) on SIVmac251 infected male Chinese-derived rhesus macaques. Sixteen animals were divided into four study groups: Δ9-THC+SIV+, Δ9-THC+SIV−, placebo (PBO)/SIV+ and PBO/SIV− (n=4/group). One-month after daily Δ9-THC or PBO administrations, macaques in groups one and three were challenged intravenously with pathogenic SIVmac251/CNS, which was isolated from the brain of a Chinese macaque with end-staged neuroAIDS. No significant differences in peak and steady state plasma viral loads were seen between Δ9-THC and PBO infected macaques. Regardless of Δ9-THC, all infected macaques displayed significant drop of CD4/CD8 T cell ratio, loss of CD4+ T cells and higher persistent levels of Ki67+CD8+ T cells when compared to uninfected animals. Moreover, long-term Δ9-THC treatment reduced significantly the frequency of circulating IgE+B cells. Only one infected macaque in the Δ9-THC+SIV+ group died of simian AIDS with paralyzed limbs as compared with two deaths in the PBO/SIV+ group during the study period. These findings indicate that chronic Δ9-THC administration resulted in reduction of IgE+B cells, yet it unlikely enhanced pathogenic SIVmac251/CNS infection in male Rhesus macaques of Chinese origin.
Keywords: cannabinoids, THC, SIV, IgE+B cell, Rhesus macaque, HIV-1, AIDS
Introduction
Delta9-tetrahydrocannabinol (Δ9-THC) is the major psychoactive cannabinoid in the cannabis sativa (Croxford 2003). The biological function of Δ9-THC is mediated by interaction with two major G-protein-coupled cannabinoid receptors, namely CB1 and CB2 receptors (Felder and Glass 1998; Kaplan 2013; Pertwee 1997). While the CB1 receptor is preferentially expressed in the brain as the mediator of cannabis-induced neurobehavioral effects, the CB2 receptor is found primarily in peripheral immune system such as on the surface of T and B cells (Ameri 1999; Gorantla et al. 2010; Kaplan 2013). Theologically, the chronic administration of Δ9-THC may affect both central nerve system and immune system and, therefore, potentially modulate disease progression especially among patients infected with neurotropic HIV-1. This is a critical issue because the man-made Marinol, whose active ingredient is Δ9-THC, has been approved by the Food and Drug Administration as an appetite stimulant for the treatment of HIV-1-associated anorexia and weight loss (Abrams 1998; Riggs et al. 2012). HIV-1-positive marijuana smokers produced substantial and comparable increases in food intake (Haney 2002; Haney et al. 2007). It, however, the impact of Δ9-THC on HIV-1 infection remains under investigation.
In vitro studies indicated that Δ9-THC decreased constitutive production of IL-8, MIP-1alpha, MIP-1beta, and RANTES, changes that might worsen HIV-1 infection (Srivastava et al. 1998). Moreover, Δ9-THC administration suppressed immune function and enhanced HIV-1 infection in huPBL-SCID mice with significantly higher number of infected cells and viral loads (Roth et al. 2005). Similar enhancement effects, however, were not found in a randomized, prospective, controlled trial comparing the use of marijuana cigarettes (3.95% THC), dronabinol (2.5 mg), and oral placebo in HIV-1-infected adults taking protease inhibitor-containing highly active antiretroviral therapy (HAART)(Bredt et al. 2002). One study indicated that Δ9-THC might reduce HIV-1 receptor expression on monocytes that diminished entry efficiency (Williams et al. 2014). In non-human primate models, chronic treatment with Δ9-THC seemingly decreased plasma and CSF viral loads and tissue inflammation, reducing morbidity and mortality of SIV-infected male Indian macaques (Molina et al. 2011b). Although there were no significant alterations in immune phenotype in animals, subsequent analysis indicated that Δ9-THC modulated duodenal T cell populations, favored a pro-Th2 cytokine balance, and decreased intestinal apoptosis (Molina et al. 2014). In contrast, chronic Δ9-THC administration, did not seem to protect SIV-infected female Indian rhesus macaques from early mortality (Amedee et al. 2014). These findings call for continued efforts to understand the impact of chronic Δ9-THC in a separate SIV/macaque model.
Based on these publications, we hypothesized that chronic Δ9-THC might affect morbidity and mortality in male SIV-infected Chinese-derived macaques. To test this hypothesis, we sought to determine the effects of long-term Δ9-THC treatment using four groups of a total of 16 male Chinese macaques with or without SIVmac251 infection.
Materials and Methods
Animals
Sixteen male Chinese rhesus macaques were housed in the facility at the Institute of Laboratory Animal Science (ILAS), Chinese Academy of Medical Sciences and Peking Union Medical College. They were negative in tests of SIV, herpes B virus, and simian T-lymphotropic virus. The Institutional Animal Care and Use Committee (IACUC) of Louisiana State University Health Sciences Center and ILAS approved our animal experimental protocols for ethics and care. Post infection, biospecimen collection was performed with animals under anesthesia using ketamine hydrochloride (10 mg/kg) in ILAS’ Animal Bio-Safety Level 3 (ABSL-3) laboratory, which is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC).
Δ9-THC administration
Chinese macaques were divided into four study groups: Δ9-THC+SIV+, Δ9-THC+SIV−, PBO/SIV+ and PBO/SIV− with four macaques in each group. PBO stands for placebo. THC was provided through NIH-funded research program from the National Institute on Drug Abuse (Research Technical Branch, Rockville, MD) at a concentration of 200mg/ml in 100% ethanol. Upon arrival, Δ9-THC solution was stored in aliquots at − 200C, and prepared as an injectable emulsion. Consistently, chronic intramuscular injection of Δ9-THC occurred twice daily at 8:00 a.m. and 6:00 p.m. with a dose of 0.32mg/kg for a total of 428 days. The dose and frequency of Δ9-THC (0.32mg/kg, i.m., twice daily) were based on data previously generated in male rhesus macaques of Indian-origin (Molina et al. 2011b). PBO control animals received time-matched intramuscular injections of equal volumes (0.05 ml/kg) of diluent.
Virus
The challenge stock was prepared in rhesus peripheral blood mononuclear cells (PBMCs) using SIVmac251/CNS, which was isolated from the brain of an end-staged Chinese macaque with simian AIDS and neurological disorders. The original SIVmac251 was kindly provided by Preston A. Marx. Macaques in groups one (Δ9-THC+SIV+) and three (Δ9-PBO/SIV+), were each inoculated with 100 TCID50 of pathogenic SIVmac251/CNS intravenously. Another eight SIV-negative individuals groups two (Δ9-THC+SIV−) and four (Δ9-PBO/SIV−) served as uninfected controls.
Viral load measurement by quantitative real-time RT-PCR
RNA was isolated from 200 μl of cell-free plasma using the QIAmp viral RNA minikit (Qiagen, Valencia, CA). The RNA was eluted in 20μl of nuclease free water and frozen immediately at − 80°C until analysis. Plasma viral RNA loads were measured by a quantitative real-time reverse transcription–PCR (qRT-PCR) assay for SIV gag with the 5’-primer GCAGA GGAGG AAATT ACCCA GTAC, 3’-primer CAATT TTACC CAGGC ATTTA ATGTT, and the probe FAM-ACCTG CCATT AAGCC CGA-MGB in the Perkin-Elmer ABI 7500 machine. Pre-standardized SIVmac251 gag cDNA was used as a positive control. Triplicate test reactions were performed for each sample.
Phenotyping of peripheral T and B cells
Peripheral blood samples were collected into ethylene diamine tetra-acetic acid (EDTA) anticoagulant tubes for the extraction and isolation of plasma by density gradient centrifugation. Flow cytometry was performed for the staining of T lymphocytes as we previously described (Chen et al. 2000; Chen et al. 2002; Wang et al. 2010). Peripheral CD4+ T-cell counts were calculated by multiplying the percentage of CD3+CD4+ T cells with the total CD3+ T lymphocytes using the BD Trucount™ method . One million peripheral blood mononuclear cells were stained with the following sets of monoclonal antibodies: CD8-PerCP (clone SK1), CD4-APC-Cy7 (clone SK3), CD3-PE (clone SP34), Ki-67-FITC (clone B56); IgE-APC (clone MB10-5C4), CD20-APC-Cy-7 (clone L27)(Xue et al. 2013). All the antibodies were purchased from BD Biosciences (San Jose, CA, USA). After washing with cold flow wash buffer, the cells were fixed with 1% paraformaldehyde and subjected to flow cytometry analysis within 24 hours. Samples were acquired and analyzed on a BD LSRII flow cytometer with the FACS DIVA Software (BD Biosciences). FACS data were evaluated using the FLOWJO Version 8.7 Software (Tree Star, Ashland, OR, USA).
Statistical analysis
Statistical analysis and graphical presentations were generated by GRAPHPAD PRISM software (GraphPad Software, La Jolla, CA, USA). One-way ANOVA analysis was performed for differences between multiple groups. Paired student t test was used to compare intragroup data. Two-tailed and unpaired student t tests were used for comparison between two groups. The Kaplan–Meier survival graph between two groups was analyzed with Log-rank test. The potential correlation between variables was analyzed with Pearson’s correlation test. P ≤ 0.05 was considered statistically significant.
Results
Chronic Δ9-THC administration does not enhance viral load and disease progression post SIV infection
According to our experimental design (Fig. 1A), 16 male rhesus macaques of Chinese-origin were divided into four study groups: Δ9-THC+SIV+ (G1), Δ9-THC+SIV− (G2), PBO/SIV+ (G3) and PBO/SIV− (G4) with four macaques in each group. We aimed to determine the effects of chronic Δ9-THC on male Chinese macaques in the presence and absence of SIV infection. G1 and G2 animals received Δ9-THC daily for a total of 428 days. Thirty days after the pre-Δ9-THC treatment G1 and G3 macaques were challenged intravenously with 100 TCID50 pathogenic SIVmac251/CNS, whereas G2 and G4 served as uninfected PBO controls. The infection was successful because all animals in G1 and G3 displayed comparable peak viral load and steady-state viremia (Figs. 1B and 1C). The plasma viral loads reached their peak to approximately 107–108 copies per ml around 14 days post viral inoculation in all eight infected macaques (Figs. 1B and 1C). The average viral loads of both groups were around 105 copies per ml at steady state. Statistical analysis did not reveal any significance for both peak and steady-state viral loads between G1 and G3. Similar findings were also obtained when proviral loads were measured (data not shown). Chronic Δ9-THC, therefore, unlikely enhances viral loads during the course of SIVmac251/CNS infection. One macaque in G3 maintained high viral load and died of simian AIDS around 220 days post infection. Subsequently, another two infected animals, one in G3 and one in G1, died with relative high viral loads. Survival analysis, however, did not show statistical significance between G1 and G3 (Fig. 1C). Chronic Δ9-THC did not significantly alter disease progression during the course of SIVmac251/CNS infection.
Δ9-THC administration does not alter CD4+ T cell loss post SIV infection
Besides viral load, CD4+ T cell count is another critical biomarker for measuring immunodeficiency and disease development during SIV infection. In order to further understand if chronic Δ9-THC affected CD4 T cells during the course of SIV infection, we measured CD4 count and CD4/CD8 ratio of each animal over time by standard protocols as we described previously (Chen et al. 2000; Chen et al. 2002). While viral loads reached peak around 14 days post infection, there were significant reductions of CD4 count among infected monkeys in both G1 and G3 (Fig. 2A, left). Moreover, the mean CD4 loss was clearly evident among SIV-infected animals in G1 and G3 throughout the chronic phase of infection but not among uninfected monkeys in G2 and G4 (Fig. 2A, right). There were, however, no significant differences in CD4 counts between G1 and G3 animals during both acute and chronic stages of infection. Chronic Δ9-THC alone did not seem to affect CD4 counts among uninfected macaques. In addition to CD4 count changes, SIVmac251/CNS acute infection resulted in rapid drops of CD4/CD8 ratios in G1 and G3, which were not found with control animals in G2 and G4 (Fig. 2B, left). Subsequently, the mean CD4/CD8 ratios in G1 and G3 remained lower than those of uninfected animals in G2 and G4 (Fig. 2B, right). Critically, similar to CD4 counts, there were no overall statistical differences in CD4/CD8 ratios between G1 and G3, suggesting that Δ9-THC administration did neither alter CD4 loss following SIV infection.
SIV-induced proliferation of CD8+ T cells contributes to abnormal CD4/CD8 ratios
During SIV infection highly increased T-cell turnover and immune activation may cause exhaustion of T cell production and function in rhesus monkeys (Sopper et al. 2003). Because CB2 receptor is on the surface of T cells (Rom and Persidsky 2013), we aimed to investigate if Δ9-THC could influence T cell proliferation by measuring the expression of the Ki-67 nuclear antigen in peripheral blood CD4+ and CD8+ T cell subpopulations. Similar to CD4 count changes described above, there were significant reductions of Ki-67+CD4 T cell frequency among infected monkeys in both G1 and G3 while viral loads reached peak around 14 days post infection (Fig. 3A, left). There were no significant differences in Ki-67+CD4 T cell frequency between G1 and G3 animals during both acute and chronic stages of infection. After the acute phase, the mean Ki-67+CD4 T cell frequency did not show distinct profiles when compared with uninfected animals in G2 and G4. More striking findings were made when Ki-67+CD8 T cell frequency was analyzed. SIVmac251/CNS infection resulted in a rapid increase in Ki-67+CD8 T cell proliferation. There were rapid and significant increases of Ki-67+CD8 T cell frequency among infected monkeys in both G1 and G3 when compared with uninfected ones in G2 and G4 (Fig. 3B, left). Subsequently, the mean Ki-67+CD8 T cell frequency among SIV-infected animals in G1 and G3 was sustained at levels relatively higher than those of uninfected ones in G2 and G4 throughout the chronic phase of infection (Fig. 3B, right). Correlation analysis indicated that the Ki-67+CD8 T cell frequency was somewhat inversely associated with the drop of CD4/CD8 ratios (p=0.041) but neither with viral load or nor with CD4 counts.
Chronic Δ9-THC significantly reduced the frequency of peripheral IgE+B cells overtime
Because Δ9-THC administration did not seem to alter the course SIV infection during both acute and chronic phases, it raised a critical question on whether or not this active ingredient of Marinol was biologically active in experimental animals. To answer this question, we measured the body weights of each animal during the study period. The rationale was that Δ9-THC might improve food intake and, therefore, help to maintain a better body weight as compared with PBO groups. We, however, did not see statistical significance between G1 and G3 (or G2 and G4). Interestingly, one previous study indicated that Δ9-THC treatment influenced the production of IgE+B cells in vivo. Since CB2 receptor on the surface of B cells was found in IgE down-regulation in mice (Newton and Klein 2012), we sought to determine if Δ9-THC could affect IgE+B cells in experimental monkeys. We found that SIVmac251/CNS infection led to rapid decreases of B cell frequency in both G1 and G3 at 14 days post infection (Fig. 4A, left), probably due to the rapid CD8+ T cell expansion among total lymphocytes. A similar trend was also found for IgE+B subsets but no statistical significance in this difference was achieved (Fig. 4B, left). Interestingly, there were significant differences on IgE+ B cells using the one-way ANOVA under the Newman-Keuls analysis (p < 0.0001) when we compared these four groups during the time period of day 168-256. Regardless of SIV infection, when we compared Δ9-THC treated macaques in G1 and G2 (n=8) with those of untreated in G3 and G4 (n=8), there was an increased trend of total B cells among total PBMCs tested during this chronic steady stage of infection (e.g. day 231)(Fig. 4A, right). During the same time period, however, we found that the frequency of IgE+B cells was significantly reduced among eight macaques in G1 and G2 as compared with ones in G3 and G4 (Fig. 4B, right). After this time period, SIV infection in G3 probably led to the reduced frequency of IgE+B cells and, therefore, the statistical analysis was no longer significant.
Discussion
In this study, to the best of our knowledge we report the first study of cannabinoid effects on healthy and SIV-infected male rhesus monkeys of Chinese origin. Unlike Δ9-THC-mediated HIV-1 infection enhancement in huPBL-SCID mice (Roth et al. 2005) or Δ9-THC-associated plasma viral load reduction in SIV-infected male Indian macaques (Molina et al. 2011b), we found that Δ9-THC neither enhanced nor attenuated SIVmac251/CNS infection in our model system. This conclusion was based on our longitudinal study of viral loads, CD4 counts, CD4/CD8 ratios, T cell proliferation, survival rate and clinical signs of disease progression in the context of continuous daily Δ9-THC administration for 428 days. We found that there were no significant differences in peak and steady state plasma viral loads as well as AIDS disease progression among SIVmac251/CNS-infected animals with or without sustained Δ9-THC treatment. Moreover, regardless of Δ9-THC administration all infected macaques displayed significant drop of CD4/CD8 T cell ratios, loss of CD4+ T cells and higher levels of persistent Ki67+CD8+ T cell proliferation when compared to uninfected animals. The main biological effects of Δ9-THC seen in this study, down-regulation of circulating IgE+B cells in vivo, warrants future studies to explore mechanisms involved.
The initial finding of Δ9-THC-attenuated progression of SIV-infection was made in male rhesus macaques of Indian origin (Molina et al. 2011a; Molina et al. 2011b). Using the same experimental protocols, we made similar observations in male rhesus macaques of Chinese origin in that Δ9-THC treatment of SIV-infected animals produced no significant effects on decreased CD4/CD8 ratio and increased CD8+ T cell proliferation. Moreover, two macaques in G3 died earlier than one in G1 after they developed clinical signs of disease (e.g. low CD4 count, weight loss and wasting). We, however, did not observe Δ9-THC-mediated attenuation of plasma viral loads or decreased early mortality of SIV infection with statistical significance. The differences observed between two monkey species might be due to multiple variable factors including the susceptibility of male Chinese macaques to Δ9-THC treatment and SIV infection, the optimal dose of Δ9-THC and different SIV strains inoculated. These are relevant factors because for example it has been previously documented that SIVmac251 infection displayed slower disease progression in Chinese macaques when compared with Indian macaques (Ling et al. 2002). If SIV-infected Chinese macaques are more relevant to HIV-1 infections in humans as suggested by others (Ling et al. 2002), our results demonstrated that the long-term course of Δ9-THC administration does not promote disease progression among infected male Chinese macaques, which is actually consistent to previous findings in male Indian macaques (Molina et al. 2011b). Since a recent study indicated that protection from early SIV mortality was not evident in Δ9-THC-treated female Indian macaques (Amedee et al. 2014), there is a need for future studies to explore the sex-dependent effects of Δ9-THC in female Chinese macaques or other non-human primate models as well as in humans.
Cannabis-based medications are commonly used off label for the treatment of anorexia, nausea, neuropathic pain and multiple sclerosis (Grotenhermen and Muller-Vahl 2012). Because cannabinoid receptor 2 (CB2) is expressed on the surface of T and B cells (Ameri 1999; Eisenstein and Meissler 2015; Gorantla et al. 2010; Kaplan 2013), the effect of Δ9-THC on immune system is of great interest for investigation. It was shown that Δ9-THC might enhance HIV-1 antigen-specific immune responses through CB1/CB2-dependent and -independent mechanisms (Chen et al. 2015). A 21-day cannabinoid treatment protocol, however, did not exhibit significant effects on T/B cell phenotype and function among HIV-1 patients on HAART (Bredt et al. 2002). In this study, we found that the long-term Δ9-THC treatment did not seem to alter T cell growth and proliferation significantly either in uninfected or SIV infected macaques. Interestingly, we observed modest modulation of B cell growth in Δ9-THC-treated animals. In consistency to previous findings that cannabinoids enhance human B cell growth at low concentrations (Derocq et al. 1995), we found that the long-term administration of Δ9-THC was able to improve B cell frequency especially after 3 months of continuous treatment regardless of SIV infection. On one hand, this finding confirmed the biological activity of the long-term Δ9-THC treatment in male Chinese macaques. On the other hand, it calls for future investigation on whether or not this effect would impact anti-SIV humoral responses. To this end, another interesting finding in this study was the gradual loss of IgE+B cells in two Δ9-THC groups. Since CB2 is involved in the down-regulation of serum IgE levels in mice (Newton and Klein 2012), it is possible that the gradual loss of IgE+B cells was a consequence of CB2-mediated down-regulation of IgE in B cells by the long-term Δ9-THC administration. Future studies should test this hypothesis and the impact of Δ9-THC on other IgE-producing cells. Lastly, an elevated level of IgE has been studied clinically as a biomarker of poor prognosis in HIV-1 infected patients (Israel-Biet et al. 1992; Marone et al. 2000). Moreover, a negative correlation was found between the histamine-induced production of IFNγ by HIV-1 specific CD8+ T lymphocytes and levels of total IgE (Hanzlikova et al. 2012). Although IgE+B cells have been found in peripheral blood, thymus and other lymphoid organs during SIV and HIV-1 infections (Auci et al. 1997), their role in AIDS pathogenesis, inflammation and AIDS-associated higher rate of type 1 hyperactivity remains to be carefully investigated. Based on our findings on IgE+B cell reduction, the long-term Δ9-THC treatment could conceivably be beneficial in treating these diseases through CB2 modulation (Chandra et al. 2015; Persidsky et al. 2015; Picone and Kendall 2015). There are, however, some limitations of this study. For example, to mimic a large subset of humans who are infected with HIV-1, future experiments should look into the impact of Δ9-THC administered post-SIV infection. Drug dose-dependency and viral low dose repeat challenge experiments are needed to further determine the impact of Δ9-THC on susceptibility to SIV infection. The number of four animals in each group is small in this study, which may potentially affect the statistical analysis. The sensitivity and susceptibility of individual monkeys to Δ9-THC and SIV infection could also be variable. These limitations will require future investigation especially using a larger cohort of animals.
Acknowledgement
The authors would like to thank US NIH NIDA (3R01DA020419-02S1 to ZC and PM) and China’s mega project 2012ZX10001006001009 for financial supports, David Shurtleff and Diane Lawrence for discussion and Δ9-THC arrangement, Xilin Wu and Yanxu Zhang for data analysis, and David Ho and KY Yuen for scientific advice. We also thank Hong Kong Research Grant Council HKU5/CRF/13G as well as the University Development Fund of the University of Hong Kong and Li Ka Shing Faculty of Medicine Matching Fund to HKU AIDS Institute.
Footnotes
Conflicts of Interest
The authors of this manuscript do not report conflict of interest.
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