Abstract
Background:
Cigarette smoking increases systemic oxidative stress, inflammation, and viral replication in individuals with HIV. Macrophages are infected during HIV infection and serve as an important reservoir throughout the process. Macrophages exist in two phenotypes, the classically acti-vated M1 macrophage and alternatively activated M2 macrophage. The expression of drug efflux transporters and metabolic enzymes, which have direct effects on intracellular drug concentrations, differ between the pro-inflammatory M1 macrophage and the anti-inflammatory M2 macrophage.
Objective:
To further explain the role of tobacco use in worsened outcomes in the HIV + population receiving antiretroviral therapy.
Methods:
Western blotting was used to examine macrophage polarization and expression of drug efflux transporters, CYP enzymes, and antioxidant enzymes. The arginase assay was used to measure arginase activity. Cytokine production was measured using the human multiplex inflammatory cytokine assay kit. The 8-OHdG DNA Damage Quantification Direct Kit was used to quantify DNA damage. Viral replication under the influence of tobacco and antiretroviral drug use was measured by p24 Elisa.
Results:
We observed phenotypic shifts from M1 to M2 with both individual and combination treatments with cigarette smoke condensate and the protease inhibitor antiretroviral drug lopinavir. These shifts lead to changes in cytokine production, the expression of CYP enzymes, anti-oxidant enzymes, and drug efflux transporters, as well as changes in viral replication.
Conclusion:
This data suggest a mechanism by which tobacco use impairs HIV antiretroviral therapy to increase intracellular drug concentrations in this important cellular reservoir.
Keywords: Macrophage phenotype, drug efflux transporter, CYP, Tobacco, HIV, oxidative stress
1. Introduction
Globally, over 35 million individuals have died of HIV since the beginning of the epidemic [1]. According to the CDC, approximately 1.2 million people are living with HIV in the United States, with 39,513 people diagnosed in 2015 alone [2]. Tobacco abuse is prevalent in this population [3]. It has been shown that tobacco use leads to a higher HIV viral load in mild-to-moderate smokers compared to HIV+ nonsmokers, and has negative effects on the time to progression to AIDS, as well as other key markers of disease progression. [4-7]. CYP pathways and cellular oxidative stress are implicated in the mediation of this outcome [4, 8, 9]. Cigarette components are metabolized through CYP enzyme pathways and produce reactive oxygen species (ROS) and reactive metabolites [10, 11]. ROS and reactive metabolites are capable of causing oxidative stress, DNA damage, and cell toxicity [9, 12, 13]. Antioxidant enzymes (AOE), on the other hand, play a role in mediating oxidative stress by quenching ROS [14]. In addition, smokers with HIV have been found to have poorer viral and immunological responses caused by the decreasing efficacy of antiretroviral therapy (ART) [6, 15]. Although ART enhances immune reconstitution, cigarette smoke deteriorates immunity [16, 17]. T-cells from tobacco smokers not only differ in proliferation response to T-cell mitogens, but also in numbers [16, 18, 19]. Both CD4+ and CD8+ T-cell functions have been shown to be impaired by smoking [19]. Macrophages, in addition to CD4+ and CD8 + cells, are essential players in immunity [20-22]. Macrophages are also affected by tobacco use [13, 23, 24]. These findings underscore the active role tobacco plays in exacerbating HIV pathogenesis in macrophages. The mechanisms, however, is not fully understood.
Macrophages are capable of being polarized to the M1 or M2 phenotype when activated by different stimuli [25-27]. Classically activated macrophages (M1) are polarized in response to interferon-gamma (IFNϒ) combined with bacterial lipopolysaccharide (LPS). M1 macrophages are involved in the activity of killing by producing a high amount of interleukin-12(IL-12), interleukin-23(IL-23), nitric oxide (NO), and reactive oxygen intermediates (ROI) [28]. M2 macrophages mediate immunosuppression and tissue repair by producing ornithine and polyamines [29-32]. M1 and M2 macrophages play an important role in a variety of disease states and inflammation. Polarized M1 macrophages stimulate a T helper cell type I-like response, produce pro-inflammatory cytokines, and maintain strong microbicidal activities. M2 macrophages, on the other hand, are implicated as having a central role in facilitating lung repair and remodeling in RSV-induced damages [33]. However, the role of macrophage polarization in HIV remains unclear [34-37]. Some researchers suggest that macrophages are polarized toward M1 phenotypes in the early stage of infection and serve as a major viral reservoir [38]. The cytokines interleukin (IL)-4/IL-13 then activate M2 macrophage polarization, which stops the expansion of viral reservoirs in the later stages of infection [39]. As an early target for infection, infected macrophages can persist for extended periods of time [21, 22, 40]. It has been shown that macrophages act as HIV reservoirs and permit viral replication, even after the initiation of antiretroviral therapy [21, 40-43]. Furthermore, polarized macrophages are more responsive to Toll-like receptor (TLR) stimuli caused by HIV infection [37].
Macrophages are major targets of drugs including antibiotics and antiretrovirals [44-47]. Drug efflux transporters, which have historically been investigated as a cause for decreased absorption and low plasma concentrations of drugs, may also have effects on drug concentrations inside macrophages [48, 49]. Drug efflux transporters, including P-glycoprotein (PGP) and multidrug resistance protein 1(MRP1) are able to transport a diverse collection of drugs and toxins for the purpose of maintaining barrier function of sanctuary site tissues [50]. Although ART is capable of suppressing detectable viral replication in the plasma, it cannot eradicate the virus in reservoirs [51-54]. It has been shown that protein expression levels of the drug efflux transporters MRP2 and BCRP were increased with ART-treated HIV+ patients. PGP expression was also significantly higher in HIV+ patients who received ART, showing that antiretrovirals can also influence transporter expression [55]. Intracellular antiretroviral levels might be changed due to the different drug efflux transporter expression levels.
In our previous research, we observed that drug efflux transporter levels varied between M1 and M2 phenotypes with a higher expression level of MRP1 but lower expression of PGP in M1 cells compared to M2 [48, 49]. Here, we aimed to clarify how a commonly utilized antiretroviral and cigarette smoke condensate interact in polarized macrophages, and how these influences change in the immunology of the M1 and M2 macrophages in terms of cytokine production and CYP enzyme dependent oxidative stress. We also examined alternations in drug efflux transporter expression and examined a drug efflux transporter based strategy to reduce viral replication.
2. Material and Methods
2.1. Cell Culture
The human monocytic cell lines U937 and U1 were cultured in RPMI 1640 medium supplemented with 10% FBS. U937 was purchased from American Type Culture Collection (ATCC Manassas, VA) and U1 cell lines were obtained from NIH AIDS Reagent Program (Germantown, MD). U937 and U1 cells were treated with cytokines to effect polarization for 48 hours. LPS (100 ng/ml, E. Coli origin, Sigma-Aldrich, L2630, St. Louis, Mo, USA) combined with IFN-γ (20ng/ml, Life Technologies, PHC4031, Carlsbad, CA, USA) were used for M1 polarization. LPS (100 ng/mL) with IL-4 (10 ng/mL, CST, 8919SF, Danvers, MA, USA) and IL-13 (10 ng/mL, CST, 8905SF, Danvers, MA, USA) were used to stimulate M2 polarization. No cytokines were added to unstimulated control cells. Cells were treated with cigarette smoke condensate (CSC) (40 μg/ml, Murty Pharmaceuticals, KY, USA), a concentration which approximates concentrations observed in smokers, [13, 56] with or without the antiretroviral protease inhibitor lopinavir (Sigma Aldrich, 1370101, St. Louis, MO, USA) (LPV) for 24 h before harvesting.
2.2. Western Blotting
Cellular protein expression levels were analyzed by western blot. Cells were harvested and lysed in cold RIPA buffer supplemented with a protease inhibitor cocktail (Roche, 11697498001, Indianapolis, IN, USA) after 24 h treatment for whole cell lysates. Cell membrane protein was isolated using a cell fraction kit (CST, 9038S, Massachusetts, USA); this protein was harvested for MRP1 detection. BCA assay (Pierce, 23225, Rockford, IL, USA) was used to estimate protein concentration. 5 to 35 μg of protein sample was loaded on PAGE-SDS mini-gel (8% separation gel and 4% stacking gel). After 1.5 h running at 120v, gels were transferred to nitrocellulose membranes (Bio-Rad, Hercules, 1620112, CA, USA). The membranes were blocked in 5% non-fat dry milk at room temperature for 1 h, followed by incubation at 4°C with the following respective primary antibodies overnight: anti-ARG1 (Cell Signaling, Massachusetts, USA, 1:1,000), anti-BCRP primary antibody (Abcam, Cambridge, UK, 1:2,000), anti-catalase (Santa Cruz, California, USA, 1:1,000), anti-CYP1B1 (Santa Cruz, California, USA,1:400), anti-CYP2A6 (Santa Cruz, California, USA,1:200), anti-iNOS antibody (Cayman, Ann Arbor, MI, USA, 1:1,000), anti-MRP1 antibody (Abcam, Cambridge, UK, 1:25), anti-PGP primary antibodies (Abcam, Cambridge, UK, 1:1,000), anti-PRDX6 (LSBio, Seattle, USA,1:400), anti-SOD1 (Santa Cruz, California, USA,1:1,000), and anti-SOD2 (Santa Cruz, California, USA, 1:1,000). Whole cellular protein was normalized using GAPDH (Cell Signaling, Danvers, MA, USA, 1:1,000). Membrane protein was normalized with K-ATPase antibody (Abcam, Cambridge, UK, 1:2,000). The membrane was incubated with the secondary antibody (IRDye® 800CW goat anti-rabbit or IRDye® 680RD Goat anti-Mouse) [1:15,000] in the dark at room temperature for 45 minutes. Dual-channel infrared scan and quantification of immunoblots were performed using the Odyssey Sa infrared imaging system with Image Studio (Ver. 3.1.4) (LI-COR, Lincoln, NE, USA).
2.3. Arginase Activity
Arginase activity of each sample was measured using the arginase assay, which determines urea production as described [57, 58]. Urea is the byproduct of the reaction of arginine to ornithine. Cells were lysed in 0.1% Triton X-100. 50 μL of cell lysates were then mixed and heated with 25 μL of 10mM MnCl2 in 50 mM Tris HCl at 55°C. After 10 minute incubation, 50 μL of 0.5 M arginine solution was added as substrate. The mixture was incubated at 37°C overnight. An acid solution consisting of H2SO4, H3PO4 and water (1:3:7) was added to terminate the reaction on the second day. The mixture was heated with 25 μL of 9% isonitrosopropiophenone (ISPF) at 100°C for 45 min. The absorbance of each sample was measured using a μQuant spectrophotometer (Bio-Tek, Winooski, VT, USA) at 540 nm. Arginase activity was calculated by comparing to a standard curve of known urea concentrations followed by normalization to cell counts. Arginase activity was then normalized to the unstimulated control condition.
2.4. Quantification of 8-Hydroxy-2′-deoxyguanosine (8-OHdG) Content
The EpiQuik 8-OHdG DNA Damage Quantification Direct Kit (Fluorometric) (Epigentek, p-6003, Farmingdale, NY) was used to quantify the 8-OHdG content of DNA in U937. Isolated DNA from each sample was added into wells of a plate that had a high DNA binding affinity. Capture and detection antibodies were used to detect 8-OHdG. Signal was enhanced by enhancer solution and followed by quantification. Measurements were obtained using a fluorescence microplate reader, which was equipped with an excitation filter of 530 nm and an emission filter of 590 nm. The amounts of 8-OHdG were calculated by comparing measurements to a standard curve.
2.5. Multiplex Cytokine Assay
Cytokine production in U937 and U1 cells were measured using the human multiplex inflammatory cytokine assay kit (Bio-Rad, m50000007a, CA, USA). Cell culture supernatant was collected after 24 h of treatment. Three volumes of sample diluents were then added. Magnetic beads were added into 50 μL of samples or standards. The mixtures were incubated on a shaker at room temperature for 30 minutes. Streptavidin-PE conjugate (50 μL) was added after washes. After 10 minutes incubation, 125 μL of assay buffer was added. Samples were analyzed using Biorad Bioplex HTS (Bio-Rad, CA, USA). Bio-Plex manager 5 using 5-PL statistics was used to estimate cytokine concentrations.
2.6. HIV-1 p24 ELISA
p24 antibody-coated plates (Zeptometrix Corporation, 0801111, Buffalo, NY) were washed 5 times with 1X wash buffer before use. Samples were collected and lysed with lysis buffer. 200 μL of sample were added into each well followed by 37°C incubation overnight. p24 antibody was added after 5 washes the next day. The plate was incubated at 37°C for 1 hr. After washing, streptavidin-peroxide working solution was added into each well. Plates were washed again. 100 μL of substrate working solution was added immediately after the last wash. The color was developed at room temperature for 30 minutes. Stop solution was added and the sample was measured at 450nm immediately. The amount of HIV-1 p24 antigen was compared and determined against the standard curve and normalized to the amount of protein present in the cell lysates.
2.7. Statistical Analysis
Western blot densitometry data was obtained from one of three representative blots. Other data were collected from three independent experiments and are shown as mean ±SD. GraphPad Prism (GraphPad Software, La Jolla, CA, USA) was used to perform the analysis. ANOVA with Tukey’s multiple comparison tests was used to determine statistical significance.
3. Results
3.1. CSC and LPV Treatments Shift Macrophage Polarization
We first assessed how macrophage polarization was affected by treatment with CSC and LPV. Western blots with the U937 cell lysates were performed. The expression levels of the M1 marker inducible nitric oxide synthase (iNOS) and the M2 marker arginase 1 (Arg1) were analyzed. As expected, the M1 phenotype expressed threefold higher levels of iNOS, but only had 50% of the expression levels of Arg1 than the M2 phenotype (Fig. 1). Cells treated with CSC, LPV, and both CSC+LPV showed decreased iNOS protein expression in the M1-treated cells, by approximately 20% with ethanol, and by half in the LPV and CSC+LPV conditions, while having very little effect on iNOS expression in the M2-treated cells (Fig. 1A). Higher Arg1 expression was observed in the M2 cells than the M1 cells. (Fig. 1B). Similarly, a significant increase and a non-significant trend for arginase activity in the CSC and CSC+LPV treatment groups in M1 were observed, respectively (Fig. 1C). Finally, we assessed the ratio of iNOS to Arg1 expression, as a general marker of macrophage polarization. A halving in this ratio is consistent with a shift away from the M1 phenotype towards the M2 phenotype. CSC and CSC+LPV exposure greatly decreased the iNOS/Arg1 ratio in the M1 cells, while having no effect on cells already polarized to the M2 phenotype (Fig. 1D).
3.2. Cytokine Production
Next, we utilized U937 and U1 cells to examine the effects of polarization shift on the cytokines production. IL-6, a key cytokine of pro-inflammatory was significantly decreased while IL-10, an essential anti-inflammatory cytokine was significantly increased in M1 with CSC and CSC+LPV treatments (Fig. 2D and 2F). The changes in cytokine production with the CSC and LPV treatments in the M2 macrophages were minor (Fig. 2D and 2F). This is consistent with the polarization data that CSC and CSC+LPV treatments shift the M1 macrophage towards M2 while having minimal effects on the M2 macrophages. Other cytokines produced by M1 and M2 cells were also affected by CSC treatment with more pronounced significant changes in the M1 than the M2 macrophages, such as IL-8, IL-1β and MCP-1(Fig. 2A, 2B, 2C). In M2 cells, Only CSC and CSC+LPV treatments increased IL-8 and TGF-β1 expression significantly (Fig. 2A and 2E). Interestingly, CSC-treated M1 macrophages were shown to have significantly higher production of pro-inflammatory cytokines IL-8, IL-1β, and MCP-1. (Fig. 2A, 2B, and 2C).
3.3. CYP enzymes, Metabolic Stress and DNA Damage
We next assessed DNA damage, DNA damage relevant CYP enzyme expression, and metabolic stress in the cells. The amount of 8-OHdG, a marker for DNA damage, was assessed in U937 cells. In M1 cells, DNA damages were similar among all treatment conditions except for CSC treatment group in which DNA damage was significantly increased (Fig. 3). In M2 cells, DNA damage was non-significantly increased with CSC and CSC+LPV treatments (Fig. 3). As expected, this increase was more pronounced in M1 compared to M2 cells, consistent with the cytokine production data (Fig. 3).
Since DNA damage is CYP enzyme pathway dependent, we then examined the expression of two therapeutically relevant CYP enzymes, CYP1B1 and CYP2A6, as expressed in U937 cells, via Western blotting. CSC, LPV and CSC+LPV induced CYP1B1 in M1 cells at least two-fold while in M2 cells, the increase was most pronounced with CSC treatment, with an almost 3 fold increase (Fig. 4A). Inductions were observed in CYP2A6 expression with CSC, LPV and CSC+LPV in M1 cells, with the largest increase observed in the CSC+LPV condition (Fig. 4B). However, in M2 cells, all treatment conditions had minimal effects on CYP2A6 (Fig. 4B). In M1 cells, more pronounced increases were observed for CYP1B1 compared to CYP2A6 (Fig. 4A and Fig. 4B).
We then determined whether the AOEs catalase, and SOD2, which decrease oxidative stress and DNA damage, were changed by CSC and LPV treatments. When we looked at catalase expression levels in U937, the changes in the M1 cells were minimal (Fig. 4C). We then assessed SOD2, a specific AOE enzyme, levels in U937, CSC+LPV increased
SOD2 expression 50% in M1 macrophages (Fig. 4D). In M2 cells, SOD2 expression was upregulated at least 3-fold by all treatment conditions (Fig. 4D).
3.4. Drug Efflux Transporters
We also examined the effects of polarization shift caused by CSC, LPV and CSC+LPV on the drug efflux transporters PGP and MRP1 in U937 cells using Western blot. As expected, M1 untreated cells expressed lower levels of PGP, but higher levels of MRP1 than did M2-untreated cells (Fig. 5A and Fig. 5B). PGP expression was increased by 30% in CSC treated and 2.5-fold in by CSC+LPV in M1 cells (Fig. 5A). When we next examined MRP1 expression, we observed that CSC and CSC+LPV decreased MRP1 in M1 cells (Fig. 5B). In M2 cells, MRP1 expression levels were increased in all treatment conditions, with the most pronounced increase in the CSC treated cells (Fig. 5B). From our previous research that PGP has higher expression level in the M2 macrophages while MRP1 has higher expression level in the M1 macrophages, the changes of drug efflux transporter expression caused by CSC and CSC+LPV further support that CSC and CSC+LPV treatment shifts macrophage expression towards the M2 phenotype (Fig. 5A and Fig. 5B) [48, 49].
3.5. Viral Replication
Drug efflux transporters play an important role in influencing drug concentrations, both systemically and intracellularly. Decreased efficacy of HIV protease inhibitors, such as indinavir, saquinavir, and ritonavir, has been reported in CD4 lymphocytes due to high expression of PGP [59]. Finally, we assessed viral replication in CSC exposed polarized U1 treated with an antiretroviral and a small molecule inhibitor of PGP cells via the production of p24. LPV reduces viral replication by preventing viral proteins cleavage into mature functional proteins. The majority of HIV protease inhibitors including LPV are PGP substrates [60]. We also examined the strategy of reducing viral replication under the treatment of CSC by inhibiting PGP transporter considering the polarization shift from M1 to M2 and a higher expression of PGP in the M2 compared to M1. Cells were treated with the PGP inhibitor elacridar (El) [61]. LPV decreased viral replication significantly in M1 cells with or without elacridar (Fig. 6A). In the M2 cells, CSC significantly increased while LPV significantly reduced CSC dependent p24 viral replication (Fig. 6B). In the M1 cells, the addition of elacridar to the LPV and CSC+LPV treatment groups had no effect on viral replication compared with LPV and CSC+LPV groups (Fig. 6A). While in the M2 cells, elacridar reduced p24 production significantly in the LPV+El and CSC+LPV+El treatment groups compared with LPV and CSC+LPV groups, respectively (Fig. 6B). This indicates the increased efficacy of LPV in reducing p24 viral replication with the addition of PGP inhibitor elacridar in conditions where PGP expression is high. These results suggest that inhibiting the function or expression of relevant drug efflux transporter might be a valuable way to reduce viral replication in cellular reservoir, and supports a need to develop strategies to inhibit viral replication in cellular reservoirs of macrophages across their spectrum of activation.
4. Discussion
In this paper, we have shown the effects of CSC on shifting macrophage polarization. As shown by a decrease in the iNOS/Arg1 ratio, M1 macrophages were shifted towards M2 with CSC and CSC+LPV treatments. This shift induced the expression of the drug efflux transporter PGP, and the CYP enzymes CYP1B1 and CYP2A6. The M1 to M2 shift caused by CSC and CSC+LPV also led to changes in the immunoregulatory response of macrophages: the expression of the pro-inflammatory cytokine IL-6 was decreased while the anti-inflammatory cytokine IL-10 was increased. It has been reported that HIV protease inhibitors increase IL-6 and TNF- α expression through increasing mRNA stabilities, accomplished by translocating and enhancing RNA-binding protein HuR to 3’UTR of IL-6 and TNF- α [62]. Thus, changes caused by a shift in polarization might be counteracted by the effects of LPV itself on the cells.
Our results are consistent with others’ observation that CSC shifts macrophage polarization from M1 to M2. The IL-4 receptor α mediates recruitment of STAT6, activating arginase 1 transcription in M2 cells [63]. It has been shown that prenatal exposure to smoking activates STAT6 in mice [64]. In addition, secondhand tobacco smoke induces airway hyperactivity (AHR) and Th2 lung inflammation in a murine allergic asthma model. Furthermore, prenatal mice exposed to cigarette smoke showed increased GATA3, which was associated with Th2 polarization and suppression of T-bet, which promotes Th1 polarization [64]. When activated, macrophages are able to polarize to a spectrum of states between M1 and M2 phenotypes [27, 29, 36, 65-68]. The M1 phenotype expresses high levels of pro-inflammatory cytokines, while M2 is more involved in tissue repair. The phenotypes of macrophages are reversible and plasticity is a crucial feature of macrophages [67, 69]. The decreased iNOS/ arginase ratio by treatments in M1 cells suggests a shift towards M2 polarization. M2 polarization occurs by IL-4 and IL-13, which are produced under a Th2 cytokine polarization response [58, 70]. CSC, LPV and CSC+LPV shifted M1 cells towards the M2 phenotype independent of M2-polarizing cytokines, as observed through the decreased iNOS/Arg1 ratio. Though no effects were observed on arginase expression and activity in M1 cells with LPV treatment, the iNOS/Arg1 ratio was decreased due to the reduction of iNOS expression. Macrophages retain their plasticity and respond to a combination of stimuli. When polarized to a specific phenotype, macrophages still maintain some characteristics of the other phenotype [25, 71, 72]. This may explain the unchanged level of arginase expression and activity, but decreased iNOS, in M1 cells treated with LPV compared to the M1 control. This also might be the reason for the increased pro-inflammatory cytokines, such as IL-1β, MCP-1 and IL-8 with CSC treatment.
Both IL-6 and IL-10 are important effector cytokines produced by polarized macrophages. IL-6, which plays a pro-inflammatory role, was decreased by CSC and CSC+LPV treatments, while the anti-inflammatory cytokine IL-10 was increased with the same treatments in M1 cells. This indicates a shift in M1 cells towards M2 polarization due to CSC and LPV treatments. Changes in cytokine production, in turn, further the shift of polarization. By activating the transcription factor STAT3, IL-10 promotes the M2 phenotype [23, 73, 74]. Both IL-6 and IL-10 are capable of activating STAT3; however, some research suggests a higher sensitivity of IL-10 toward activation of STAT3. In this paper, decreased IL-6 and increased IL-10 in U1 cells compared with U937 supports that HIV infection shifted cells toward an M2-like phenotype. Unlike the phenotypic shift observed in M1, CSC, LPV and CSC+LPV drove the unstimulated U937 more towards M1 with increased iNOS/Arg1 ratio.
CYP enzymes are the phase I enzymes which detoxify the parent compound [75]. Reactive oxygen species (ROS) are produced through CYP enzyme-mediated tobacco constituent metabolism [4, 76, 77]. It has recently been shown significant expression of CYP enzymes in monocytic cells, and their potential role in smoking-mediated cytotoxicity and HIV pathogenesis [13]. CSC treatment increased CYP enzyme expression while it maintained general antioxidant enzyme level in M1 cells. This leads to higher oxidative stress, which subsequently increases damage in M1 cells. However, in the CSC+LPV treatment group, both CYP enzyme and the anti-oxidative enzyme expression were increased in M1 cells. This might explain the lack of difference in DNA damage between CSC+LPV and control in M1 cells.
There are, however, limitations associated with our findings. In our viral replication studies, viral replication was reduced by adding elacridar to both LPV+elacridar and CSC+LPV+Elacridar groups. However, some small molecule inhibitors are substrates of multiple transporters. Elacridar here is an inhibitor for both PGP and BCRP with a 40-fold higher IC50 for BCRp [78]. Although LPV is a substrate for PGP but not BCRP, off-target effects cannot be entirely eliminated due to increased BCRP and decreased PGP with LPV treatment [79].
In addition to the major drug efflux transporters PGP and MRP1, other drug efflux and influx transporters also contribute to drug concentrations inside of cells [80]. In this paper, we examined the expressions of two efflux transporters, and in future experiments, it will be of interest to assess other important transporters such as solute carrier (SLC) transporters and organic anion transporters. A better understanding of factors that have effects on drug concentrations will provide valuable knowledge in the mechanisms of increasing drug concentrations, thereby controlling virus replication.
Here, we have utilized LPV primarily as a probe, due to its relatively clean status as a substrate of PGP. However, effective antiretroviral therapy requires at least three agents. How multiple antiretroviral agents interact in influencing transporter expression, and how this alters the concentrations of antiretrovirals and resultant changes in viral replication, is a continuing interest for our laboratory and for other research groups worldwide.
Conclusion
Our study suggests the contribution of a shift in macrophage phenotype on regulating drug efflux transporters, metabolic enzyme expressions, oxidative stress, and DNA damage with tobacco use and ART treatment. Regulating drug efflux transporters may directly or indirectly influence drug concentrations inside cells, which effects therapeutic outcomes. By increasing antioxidant enzyme expression, LPV decreased DNA damage in the CSC+LPV group compared with the CSC treatment group. This suggests another method to increase therapeutic efficacy. These findings may also provide a valuable method and information for assessing other drug transporters, including the influx and efflux varieties, and for understanding the effects and mechanisms of other drugs that have been widely abused by HIV+ smokers.
Acknowledgements
This study was supported by the UTHSC College of Pharmacy and by the National Institutes of Health (R01 AA022063)
Ethics Approval and Consent to Participate
Not applicable.
Human and Animal Rights
No Animals/Humans were used for studies that are the basis of this research.
Consent for Publication
Not applicable.
Conflict of Interest
The authors declare no conflict of interest, financial or otherwise.
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