Table of Contents Author Guidelines Submit a Manuscript
Mediators of Inflammation
Volume 2015 (2015), Article ID 120605, 11 pages
http://dx.doi.org/10.1155/2015/120605
Clinical Study

Administration of Panobinostat Is Associated with Increased IL-17A mRNA in the Intestinal Epithelium of HIV-1 Patients

1Department of Infectious Diseases, Aarhus University Hospital, 8200 Skejby, Denmark
2Department of Hepatology and Gastroenterology, Aarhus University Hospital, 8000 Aarhus, Denmark
3Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
4Stereology and Electron Microscopy Laboratory, Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University Hospital, 8000 Aarhus, Denmark
5Aarhus Institute for Advanced Studies, Aarhus University, 8000 Aarhus, Denmark

Received 23 September 2015; Revised 10 November 2015; Accepted 15 November 2015

Academic Editor: Kong Chen

Copyright © 2015 Ane Bjerg Christensen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Intestinal CD4+ T cell depletion is rapid and profound during early HIV-1 infection. This leads to a compromised mucosal barrier that prompts chronic systemic inflammation. The preferential loss of intestinal T helper 17 (Th17) cells in HIV-1 disease is a driver of the damage within the mucosal barrier and of disease progression. Thus, understanding the effects of new therapeutic strategies in the intestines has high priority. Histone deacetylase (HDAC) inhibitors (e.g., panobinostat) are actively under investigation as potential latency reversing agents in HIV eradication studies. These drugs have broad effects that go beyond reactivating virus, including modulation of immune pathways. We examined colonic biopsies from ART suppressed HIV-1 infected individuals (clinicaltrials.gov: NCT01680094) for the effects of panobinostat on intestinal T cell activation and on inflammatory cytokine production. We compared biopsy samples that were collected before and during oral panobinostat treatment and observed that panobinostat had a clear biological impact in this anatomical compartment. Specifically, we observed a decrease in CD69+ intestinal lamina propria T cell frequency and increased IL-17A mRNA expression in the intestinal epithelium. These results suggest that panobinostat therapy may influence the restoration of mucosal barrier function in these patients.

1. Introduction

Intestines play a major role in maintaining our health. Beyond nutrient and liquid absorption, the intestines serve as a barrier between us, our intestinal microbiome, and foreign organisms/toxins. It is therefore expected that significant morbidity and mortality result from intestinal disorders like those associated with abnormal immune function (e.g., inflammatory bowel disease) and infectious diseases (e.g., various foodborne illnesses) [1, 2]. HIV-1 is an infectious disease that has a major negative impact on the intestines. Viral infiltration and replication in early HIV-1 infection result in rapid and profound intestinal CD4+ T cell depletion [310]. This leads to a compromised mucosal barrier and then to chronic systemic inflammation [11]. The preferential loss of intestinal T helper 17 (Th17) cells in HIV disease is a driver of the damage within the mucosal barrier and this damage is not reversed during antiretroviral therapy (ART) [12]. A key effector molecule produced by Th17 cells (as well as γδ T cells and a subset of innate lymphoid cells) is IL-17A. IL-17A is a multifunctional cytokine with proinflammatory properties (e.g., neutrophil recruitment) along with a role in orchestrating mucosal barrier functions [1315]. Given the pathogenesis of HIV-1 in the intestines, understanding the effects of new therapeutic strategies within this organ is a priority.

Recently, we conducted a single-arm, phase I/II clinical trial designed to evaluate the therapeutic effect of the HDAC inhibitor panobinostat on HIV-1 persistence despite successful ART [16]. Panobinostat is a potent hydroxamic acid HDAC inhibitor with inhibitory effects in the low nanomolar range against class I HDAC. It was approved in 2015 by the US Food and Drug Administration for the treatment of multiple myeloma [17]. HDAC inhibitors, like panobinostat, are actively under investigation as potential latency reversing agents because HIV-1 proviruses that are integrated into deacetylated, condensed chromatin lead to virus recrudescence when ART is interrupted. Accordingly, HDAC inhibitors have been extensively studied in vitro [1820] and in vivo [16, 2123] for their latency reversing potential and the results have been very promising. Furthermore, many HDAC inhibitors have robust anti-inflammatory properties [24]. These effects were observed in our trial cohort where panobinostat treatment was associated with reduced levels of peripheral blood (PB) inflammatory biomarkers (e.g., high-sensitivity C-reactive protein, interleukin-6, matrix metalloproteinase 9, E-selectin, and soluble CD40 ligand) as well as reduced expression of genes related to inflammation [25]. Because of the importance of understanding the varied intestinal effects of HDAC inhibitors as HIV-1 therapeutics, the study design included the collection of intestinal biopsies from consenting participants. These paired biopsies are the source material for this study to quantitate the biological impact of panobinostat in the intestines of individuals during suppressive ART.

2. Methods

2.1. Study Design and Participants

Between September 2012 and February 2014 we conducted an investigator-initiated, single-arm, phase I/II clinical trial as previously described (clinicaltrials.gov ID number NCT01680094) [16]. In accordance with the principles of the Helsinki Declaration, the Regional Ethics Committee for Region Midtjylland and the Danish Data Protection Agency approved the study design prior to patient enrollment and each patient provided written informed consent before any study procedures. Fifteen HIV-1 infected adults were enrolled in the study. These individuals exhibited virological suppression (<50 copies per mL, at least two measurements per year) for at least 2 years and CD4+ T cell counts above 500 cells per μL. Each patient received oral panobinostat 20 mg three times per week every other week for eight weeks while maintaining ART (Figure 1). Study exclusion criteria included coinfection with hepatitis B or C viruses, clinically significant cardiac disease (including QTc prolongation), and current use of a protease inhibitor (because of potential drug interactions). Of the 15 patients, 9 individuals (all infected with Clade B virus) consented to participate in an endoscopic substudy with collection of mucosal biopsies from the sigmoid colon in the week prior to panobinostat dosing and during the fourth dosing week (Figure 1). The biopsies from the fourth week of panobinostat treatment period were collected between 22 and 24 hours after the most recent oral panobinostat dose.

Figure 1: Schematic representation of the trial design. The timing of panobinostat dosing and the collection of samples utilized in these analyses are illustrated.
2.2. Sigmoid Biopsies and Isolation of Lamina Propria Mononuclear Cells (LPMCs)

Sigmoidoscopy was performed by the same experienced endoscopists at baseline and during the fourth week of panobinostat treatment. An Olympus Exera II CLV-180 with an Olympus GIF-H180 scope (Olympus, Tokyo, Japan) was used to perform the procedures. The sigmoidoscopies were done without prior bowel cleaning. During all endoscopies mucosal tissue samples were taken from a standardized location in the sigmoid colon (approximately 35 cm from the anal verge). Endoscopic biopsies were collected for multiple analyses from macroscopically normal intestinal mucosa. Two biopsies were randomly selected to be fixed in 4% PFA (6–12 hours at room temperature) and embedded in paraffin blocks for gross histopathology. The remaining biopsies were collected in ice-cold Dulbecco’s phosphate buffered saline (PBS) and immediately placed on ice. These biopsies were then processed to obtain lamina propria mononuclear cells (LPMCs). First, epithelial cells were removed by three 15 min incubations at 37°C in CMF HBSS-EDTA (calcium-magnesium free Hank’s buffered salt solution supplemented with 2% human AB serum, 1.5 mM HEPES (Gibco Life Technologies, Auckland, New Zealand), and 2 mM EDTA (Thermo Fisher Scientific/Ambion, Waltham, Massachusetts)). After each incubation period, the epithelial cell-containing CMF HBSS-EDTA was removed and discarded. Following the third CMF HBSS-EDTA incubation the tissue samples were washed in RPMI 1640 supplemented with 10% AB serum and 1.5 mM HEPES. LPMCs were then isolated via a 90 min incubation at 37°C in 5 mL digestion media (RPMI 1640 supplemented with 10% human AB serum, 1.5 mM HEPES, 0.1 mg of collagenase D (Sigma-Aldrich, St. Louis, Missouri), and 50 U/mL DNase I (Sigma-Aldrich)). Following digestion, LPMC-containing supernatants were collected via filtration through a 70 μm nylon mesh (BD Biosciences, San Jose, California). Viable cells were counted and then aliquoted for quantitative PCR and flow cytometry analyses.

2.3. Quantification of Viral DNA

For four patients (identified as , , , and in figures), LPMCs were used to isolate CD4+ T cells using a CD4+ T cell isolation kit (Miltenyi Biotec, #130-096-533) and magnetic-activated cell sorting (MACS) columns (purity > 95%). The goal was to gain more specific insights into these potential viral reservoir cells. However, the total cell yields from these four isolations were low and therefore CD4+ T cell enrichment was not performed with biopsies from the remaining five patients (identified as , , , , and in figures). To compare anatomical compartments, PB CD4+ T cells collected on the nearest date to the time of biopsy were analyzed for viral DNA load by the same method used for the LPMCs. Isolated LPMCs, LP CD4+ T cells, and PB CD4+ T cells to be used for nucleic acid quantification were lysed in RLT Plus Buffer immediately following isolation and the lysates were stored at −80°C until DNA was extracted (Allprep isolation kit, Qiagen #80204). Just prior to extraction, the lysates were subjected to shredding (Qiashredder, Qiagen #79656) and then nucleic acids were extracted according to manufacturer’s instructions with each nucleic acid sample being eluted with three repeated applications of the same 50 μL elution buffer aliquot to their respective columns.

HIV-1 DNA was quantified in samples obtained from both the intestinal biopsies and PB cells at baseline and on panobinostat essentially as described [26, 27]. Briefly, extracted DNA was used directly for HIV-1 DNA quantifications using the QX100 Droplet Digital PCR system (BioRad) (~100 ng total DNA per PCR replicate) to determine the absolute levels of total HIV-1 DNA per 106 LPMCs, LP CD4+ T cells, or PB CD4+ T cells. The PCR reaction mixture was loaded into the BioRad QX100 emulsification device fractionating each sample into ~20,000 nanoliter-sized droplets according to the manufacturer’s instructions. After cycling, droplet data were collected using QX100 droplet reader (BioRad) and then analyzed with the QuantaSoft analysis software (BioRad). No panobinostat-associated cohort-wide changes in HIV-1 DNA levels were observed in intestinal cells () (similar to [23]) or in time-matched PB CD4+ T cells () (consistent with our previous report [16]).

2.4. Cell Surface and Intracellular Cytokine Flow Cytometry Analyses

LPMCs surface expression of the T cell activation markers was measured essentially as described [28]. Briefly, within one hour of the isolation, cells were incubated with heat-inactivated mouse serum (Invitrogen, cat. number 10410) for 10 min and then stained with CD3 PerCP (BD Biosciences, cat. number 345766), CD4 PE (BD Pharmingen, cat. number 555347), CD8 PE-Cy7 (BD Pharmingen, cat. number 557746), CD69 APC (Biolegend, cat. number 310910), and HLA-DR APC-Cy7 (Biolegend, cat. number 307618). Following staining, the cells were fixed in 250 μL PBS containing 1% formaldehyde.

Intracellular cytokine detection in LPMCs was performed essentially as described [28]. Briefly, freshly isolated cells were incubated unstimulated overnight at 37°C in flat-bottomed wells (Nunc, Denmark, cat. number 140675) at a concentration of 2 × 106 LPMCs/mL in 2 mL of culture medium (RPMI 1640 with 10% pooled heat-inactivated human AB serum, 100 U/mL penicillin, and 100 μg/mL streptomycin). Following this incubation, the cells were stimulated for 4 hours at 37°C with 1 μg/mL ionomycin (Sigma-Aldrich, Denmark, cat. number I0634) and 50 μg/mL phorbol-12-myristate-13-acetate (PMA) (Sigma-Aldrich, Denmark, cat. number P1585) in the presence of 10 μg/mL brefeldin A (Sigma-Aldrich, Denmark, cat. number B7651). Next, cells were incubated with antibodies to detect surface expression of CD3 FITC (BD Biosciences, cat. number 345764) and CD8 PE-Cy7 (BD Pharmingen, cat. number 557746). Following surface staining, the cells were fixed with 1.5 mL BD FACS Lysing Solution (BD Biosciences, cat. number 349202) and then the cells were permeabilized with 0.5 mL FACS Permeabilizing Solution 2 (BD Biosciences, cat. number 340973). Blocking was performed with heat-inactivated mouse serum (Invitrogen, cat. number 10410) prior to staining with IFN-γ PE (eBioscience, cat. number 12-7319) and anti-IL-17A APC (eBioscience, cat. number 17-7179-42). Following intracellular staining, the cells were fixed in 250 μL PBS containing 1% formaldehyde.

For all samples, data were collected using a FACSCanto analyzer (BD Biosciences) within 24 hours of staining. A total of 105 events in the forward-side scatter lymphocyte gate were recorded. Single cells (according to forward-scatter-height and forward-scatter-area) were gated for CD3 expression. CD3+ cells were next gated for CD4+, CD8+, or , as indicated in the figures. The cell populations were then assessed for expression of cellular activation markers and intracellular cytokines. Gates for CD69-, HLA-DR-, IFN-γ-, and IL-17A-positive events were based upon isotype or fluorescence-minus-one controls. Data from each patient from both time points were batch analyzed using FlowJo v.10 (Treestar).

2.5. In Situ Hybridization (ISH)

In situ hybridization for IFN-γ, IL-1β, IL-8, and IL-17A mRNA as well as for HIV-1 RNA was performed in formalin-fixed paraffin-embedded (FFPE) tissues using the RNAScope 2.0 RED assay (cat. number 310036) according to the manufacturer’s instructions (Advanced Cell Diagnostics, Inc., Hayward, CA, USA). First, 4 μm sections were cut from FFPE blocks and mounted on Superfrost Plus microscope slides. Consecutive sections were mounted and a minimum separation distance of 12 μm was ensured for the sections hybridized with a given probe (2 sections per probe). Slides were placed at 60°C for 1 hr in a dry oven. Mounted sections were deparaffinized in xylene, dehydrated in 100% ethanol, and then treated serially with ACD Pretreatment 1 (endogenous hydrogen peroxidase block) for 10 minutes at room temperature; ACD Pretreatment 2 (boiling in citrate buffer) for 8–12 minutes at 98–100°C; and ACD Pretreatment 3 (protease digestion) for 12–30 minutes at 40°C. Note that Pretreatment 2 and 3 conditions for each paraffin block were optimized to maximize the signal-to-noise ratio using positive (Hs-PPIB cat. number 313901) and negative (DapB cat. number 310043) control RNA probes. Washes with deionized water were performed after each pretreatment step. Next, hybridization between the target RNA and the selected ACD probe set (Hs-IL-17A cat. number 310931; Hs-IFN-γ cat. number 310501; Hs-IL-8 cat. number 310381; Hs-IL1β cat. number 310361; V-HIV1-CladeB cat. number 416111) took place at 40°C during a 2-hour incubation in a HybEZ Oven (Advanced Cell Diagnostics, Hayward, CA). Two 2 min washes with ACD wash buffer were followed by signal amplification via the serial application of Amplifications 1–6 with two 2 min wash buffer washes after each step. Chromogenic detection of the target RNA was performed using Fast Red (10 min) followed by counterstaining with hematoxylin and mounting with Ecomount.

2.6. Quantification of ISH Signals

All of the sections were blinded before quantification and all counts were performed by the same individual via visual inspection with compound light microscopy with a robotic stage that randomly selected areas for quantification (Visiopharm NewCast, version 5.0.3.1247). In a minimum of 35 systematic random selected, nonoverlaying 25.600 μm2 (160 μm × 160 μm) counting frames the number of positive cell profiles was counted. Test points were used to determine the area of examined tissue and the nature of the tissues within the counting frame (e.g., epithelial region, lamina propria) was recorded to allow for stratification of the data by anatomical region. In accordance with a recommendation from ACD, a cell profile was defined as RNA positive if it had at least one red spot visible at 20x magnification. Ratios were calculated for each of the probes and the background was subtracted. ISH data are expressed as positive cell profiles per mm2. Validation of the ISH quantification strategy was performed according to standard methods. Briefly, all sections were counted prior to unblinding. After all sections were counted, 25 sections that covered all probe sets were assigned for recount prior to unblinding of the individual performing the quantification. These two count values for the same section (C1 and C2) were first plotted in a C1/C2 plot and a linear regression was performed (). Next, the C1 and C2 values were compared using an unpaired -test (). Finally, a Bland-Altman plot was generated using the average of the two counts versus the difference between the two counts (bias = 19.1; SD = 59.5). Together these values demonstrate that consistency in performing the quantification was maintained throughout the entire counting process. Note that the area measurements reported will not be the same as the true parameters present in vivo given that paraffin embedding and preparation caused an unavoidable, 30–50% shrinkage of tissue [29, 30]. One goal in this project was to quantify the number of cell profiles exhibiting productive HIV-1 infection via ISH in the intestinal tissues collected from these patients. Unfortunately, the low number of cell profiles with productive infection identified in the examined tissue sections precluded drawing conclusions regarding the ability of panobinostat treatment to induce viral RNA production in the intestines.

2.7. Statistics

All statistical tests were performed using an alpha level of 0.05. Wilcoxon matched-pairs signed rank tests were utilized to assess whether there was a significant difference between the baseline and on-treatment measures.

3. Results and Discussion

3.1. Panobinostat Treatment Reduced Intestinal T Cell Activation In Vivo and Augmented IFN-γ Production by Intestinal T Cells Stimulated Ex Vivo

Given our previous findings regarding the general anti-inflammatory activity of panobinostat in blood obtained from these patients [25, 31], we examined the activation status of freshly isolated LPMCs at baseline and during panobinostat treatment for surface expression of early (i.e., CD69) and late (i.e., HLA-DR) T cell activation molecules [32]. We observed a decrease in the proportion of CD69+ intestinal CD4+ and CD8+ T cells (, Figure 2(a); , Figure 2(c), resp.). Although we were unable to definitely determine whether this change resulted from decreased activation of resident cells versus an influx of naive cells, we did observe a significant decrease in the expression levels of CD69 on the intestinal CD4+ T cells (, Figure 2(b)) and a trend towards reduced CD69 expression on intestinal CD8+ T cells (, Figure 2(d)). In contrast to our findings regarding CD69 expression on intestinal T cells, we did not observe changes with panobinostat dosing in the proportions of HLA-DR expressing intestinal T cells or in the expression levels of HLA-DR on intestinal T cells (Figures 2(e) and 2(f)). It should be noted that these results from intestinal cells differ from PB outcomes from these patients [31]. Notable distinctions are that the baseline proportion of CD69+ T cells in the intestines is considerably higher than in the PB, as expected [33], and that the greatest increase in the proportion of activated CD4+ T cells was observed in PB during the first dosing week, while the observations made in the intestines are from the last dosing week. Thus, the differences between the observations in the intestines and PB regarding T cell activation may reflect differential stimulatory environments between these two anatomical compartments and the differential in the timing of the observations relative to the course of panobinostat treatment.

Figure 2: Panobinostat treatment was associated with reductions in the proportions of CD69+ intestinal T cells. (a–h) Flow cytometric analyses were performed on freshly isolated LPMCs. Intestinal CD4+ T cells (a-b; e-f) and CD8+ T cells (c-d; g-h) were assessed for CD69 (a–d) or HLA-DR (e–h) expression. The proportion of cells expressing the respective activation marker is graphed in the left column while the levels of marker expression are represented in the right column. Each patient participant is represented in all figures by the same distinct symbol. Wilcoxon matched-pairs signed rank tests were used to generate the reported values.

Next, we performed an ex vivo mitogenic stimulation of LPMCs that were rested overnight following isolation. We examined CD8+ and T cells for intracellular expression of two proinflammatory cytokines (i.e., IFN-γ and IL-17A) [34]. We did not observe changes in the proportions of IFN-γ-producing intestinal T cells (Figures 3(a) and 3(c)). However, we did observe decreases in the expression levels of IFN-γ in both intestinal CD8+ and T cells (, Figure 3(b); , Figure 3(d), resp.). Overexpression of IFN-γ and other type 1 interferons in T lymphocytes has been observed both in experimental animal models of colitis and in patients with ulcerative colitis [35]. Thus, the detected reduction in IFN-γ expression could reflect a general pleiotropic anti-inflammatory effect of panobinostat on lamina propria-resident T lymphocytes. This reduction in expression does not readily conform to our observation that panobinostat treatment generally did not affect IFN-γ secretion by PB CD8+ T cell memory subsets from this patient cohort [36]. However, direct comparisons between these PB and intestinal cell analyses are challenging. The main reasons are the difference in timing of sample selection as noted above and the fact that the ex vivo stimulations were performed with staphylococcal enterotoxin B (SEB) antigen for the PB cells and PMA/ionomycin for the intestinal cells. Further, the blood analyses were stratified by memory subset providing different assay resolution. IL-17A production was not examined in the PB cells, but it was characterized for the intestinal T cells in response to mitogen stimulation. In this analysis, we did not observe cohort-wide changes in the proportion of cells expressing IL-17A or in the per cell expression (, Figure 3(e); , Figure 3(f), resp.). In accordance with the anticipated anti-inflammatory activity of panobinostat, these analyses demonstrate that panobinostat dosing generally reduced expression of the activation marker CD69 on intestinal T cells and reduced the capacity of intestinal T cells to produce IFN-γ in response to ex vivo stimulation.

Figure 3: Intestinal T cells exhibit reduced intracellular IFN-γ expression following ex vivo stimulation. (a–f) LPMCs were stimulated ex vivo with PMA/ionomycin and then assessed for intracellular cytokine expression. Intestinal CD8+ T cells (a and b) and T cells (c–f) were assessed for INF-γ (a–d) or IL-17A (e and f) expression. The proportion of cells expressing the respective cytokine is graphed in the left column while the levels of cytokine expression are represented in the right column. Patient × and Patient were excluded from the intracellular cytokine expression analyses due low cell yields that precluded performance of the ex vivo stimulation either at the “baseline” or “during panobinostat” time point, respectively. Each patient participant is represented in all figures by the same distinct symbol. Wilcoxon matched-pairs signed rank tests were used to generate the reported values.
3.2. The Number of IL-17A mRNA Producing Intestinal Cell Profiles Increased in the Epithelial Region with Panobinostat Dosing

To gain insights into changes in the numbers of individual cells producing cytokine mRNA in the intestine during panobinostat therapy, we performed quantitative RNA in situ hybridization using limited amounts of biopsy material with the assumptions that these tissue samples were representative for the whole intestine and that two-dimensional profile counts correlate with total cell counts. Analyses were stratified according to the anatomical region harboring the RNA expressing cells (i.e., lamina propria and epithelial regions). We found that panobinostat treatment was associated with a significant increase in the number of cell profiles () exhibiting IL-17A production within the epithelial region but not the lamina propria () (Figures 4, 5(a), and 5(b)). In contrast, we did not observe cohort-wide differences in the number of cell profiles exhibiting INF-γ, IL-8, or IL1β production in either the lamina propria or the epithelial regions of the intestine (Figures 5(c)5(h)). The results for intracellular and in situ IL-17A expression (Figures 3(e), 3(f), 4, 5(a), and 5(b)) may appear to be contradictory at first glance. The likely explanation is that these observations highlight key methodological differences in the two assays. Specifically, the intracellular cytokine secretion assay was performed on isolated LPMCs. The sample preparation used for this analysis excluded the intraepithelial layer from assessment. In contrast, the in situ hybridization technique allowed quantitation throughout both the lamina propria and epithelial regions. Using this method and taking the stated assumptions into account, we were able to determine that the epithelial regions were the anatomical location of the increased IL-17A expression (Figure 5(b)).

Figure 4: Intestinal IL-17A mRNA expression increased with panobinostat treatment. Representative images for IL-17A RNAScope ISH from Patient are presented. Red arrowheads indicate a sampling of mRNA positive cell profiles in each image. Dashed lines demarcate lamina propria (LP) and epithelial (E) regions.
Figure 5: Epithelial region of intestines harbored the cells exhibiting IL-17A mRNA expression increase during panobinostat treatment. In situ hybridization for cytokine mRNA was performed with RNAScope technology. (a–h) Plots depict the number of cell profiles producing mRNA for IL-17A (a and b), IFN-γ (c and d), IL-8 (e and f), and IL-1β (g and h) at baseline and during panobinostat. Left column depicts positive cell profiles per mm2 within the lamina propria regions. Right column depicts positive cell profiles per mm2 within the epithelial regions. Patient was excluded from the final analyses due to insufficient tissue for both optimization and assay performance. Each patient participant is represented in all figures by the same distinct symbol. Wilcoxon matched-pairs signed rank tests were used to generate the reported values.

IL-17A expression in the intestines is frequently associated with inflammatory processes, such as in inflammatory bowel disease [15, 3741]. However, IL-17A also induces robust production of antimicrobial peptides important for maintaining the intestinal epithelial barrier [42]. IL-17A is produced by intestinal innate lymphoid cells to orchestrate mucosal barrier function [13], exhibits anti-inflammatory behavior in the context of cultured human colonic epithelial cells [43], and ameliorates inflammation in rodent colitis models [43, 44]. Thus the data presented here lead us to hypothesize that the panobinostat-induced upregulation in IL-17A mRNA observed in the intestinal epithelium is associated with mucosal barrier restoration. Such activity would be consistent with the general anti-inflammatory activity of panobinostat in these same patients [25], reduced LPMC T cell activation (Figures 2(a)2(d)), reduced levels of IFN-γ production following ex vivo stimulation (Figures 3(a)3(d)), and the unchanged intestinal IFN-γ, IL-8, and IL1β mRNA levels (Figures 5(c)5(h)). Future studies are necessary to confirm that the panobinostat-induced IL-17A expression in the intestinal epithelium is indicative of mucosal barrier restoration and a reduction of chronic immune activation in HIV patients during suppressive ART. With such confirmation, perhaps panobinostat (or similarly acting compounds) could become therapeutic options for reducing morbidity associated with chronic inflammation in these individuals.

3.3. Conclusions

It is essential that conclusions are cautiously drawn from these data as they are derived from a single-arm phase I/II clinical study with increased peripheral blood cell-associated unspliced-HIV-1 RNA during panobinostat treatment as the primary endpoint. Nevertheless, these data do lend themselves to a key conclusion. Panobinostat has a clear biological impact in the intestines of HIV-1 patients as shown by the decreased CD69+ intestinal T cell frequency and increased IL-17A expression in the intestinal epithelium associated with panobinostat treatment. The significance of this last finding could be profound if future studies confirm that panobinostat dosing leads to improved mucosal barrier function in the intestines of HIV patients during suppressive ART.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The authors thank H. Støvring for statistical advice. They thank H. Andersen, T. Meyer, and M. Guldmann-Christensen for their assistance with sectioning samples in paraffin blocks. Lars Østergaard was supported by the Danish Council for Strategic Research (Grant no. 0603-00521B), Ole S. Søgaard was supported by the Danish Council for Strategic Research, the Danish Research Council (Grant no. 12-133887), and the Lundbeck Foundation (Grant no. R126-2012-12588). The Centre for Stochastic Geometry and Advanced Bioimaging is supported by Villum Foundation.

References

  1. A. T. Blikslager, A. J. Moeser, J. L. Gookin, S. L. Jones, and J. Odle, “Restoration of barrier function in injured intestinal mucosa,” Physiological Reviews, vol. 87, no. 2, pp. 545–564, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Kaser, S. Zeissig, and R. S. Blumberg, “Inflammatory bowel disease,” Annual Review of Immunology, vol. 28, pp. 573–621, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. J. M. Brenchley, T. W. Schacker, L. E. Ruff et al., “CD4+ T cell depletion during all stages of HIV disease occurs predominantly in the gastrointestinal tract,” Journal of Experimental Medicine, vol. 200, no. 6, pp. 749–759, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. E. J. Ciccone, S. W. Read, P. J. Mannon et al., “Cycling of gut mucosal CD4+T cells decreases after prolonged anti-retroviral therapy and is associated with plasma LPS levels,” Mucosal Immunology, vol. 3, no. 2, pp. 172–181, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. Q. Li, L. Dua, J. D. Estes et al., “Peak SIV replication in resting memory CD4+ T cells depletes gut lamina propria CD4+ T cells,” Nature, vol. 434, no. 7037, pp. 1148–1152, 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Mehandru, M. A. Poles, K. Tenner-Racz et al., “Primary HIV-1 infection is associated with preferential depletion of CD4+ T lymphocytes from effector sites in the gastrointestinal tract,” Journal of Experimental Medicine, vol. 200, no. 6, pp. 761–770, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Guadalupe, E. Reay, S. Sankaran et al., “Severe CD4+ T-cell depletion in gut lymphoid tissue during primary human immunodeficiency virus type 1 infection and substantial delay in restoration following highly active antiretroviral therapy,” Journal of Virology, vol. 77, no. 21, pp. 11708–11717, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. J. J. Mattapallil, D. C. Douek, B. Hill, Y. Nishimura, M. Martin, and M. Roederer, “Massive infection and loss of memory CD4+ T cells in multiple tissues during acute SIV infection,” Nature, vol. 434, no. 7037, pp. 1093–1097, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. P. W. Denton, J. D. Estes, Z. Sun et al., “Antiretroviral pre-exposure prophylaxis prevents vaginal transmission of HIV-1 in humanized BLT mice,” PLoS Medicine, vol. 5, no. 1, article e16, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. Z. Sun, P. W. Denton, J. D. Estes et al., “Intrarectal transmission, systemic infection, and CD4+ T cell depletion in humanized mice infected with HIV-1,” Journal of Experimental Medicine, vol. 204, no. 4, pp. 705–714, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. J. M. Brenchley, D. A. Price, T. W. Schacker et al., “Microbial translocation is a cause of systemic immune activation in chronic HIV infection,” Nature Medicine, vol. 12, no. 12, pp. 1365–1371, 2006. View at Publisher · View at Google Scholar · View at Scopus
  12. J. M. Brenchley, M. Paiardini, K. S. Knox et al., “Differential Th17 CD4 T-cell depletion in pathogenic and nonpathogenic lentiviral infections,” Blood, vol. 112, no. 7, pp. 2826–2835, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. D. J. Cua and C. M. Tato, “Innate IL-17-producing cells: the sentinels of the immune system,” Nature Reviews Immunology, vol. 10, no. 7, pp. 479–489, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. N. R. Klatt and J. M. Brenchley, “Th17 cell dynamics in HIV infection,” Current Opinion in HIV and AIDS, vol. 5, no. 2, pp. 135–140, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. J. K. Kolls and A. Lindén, “Interleukin-17 family members and inflammation,” Immunity, vol. 21, no. 4, pp. 467–476, 2004. View at Publisher · View at Google Scholar · View at Scopus
  16. T. A. Rasmussen, M. Tolstrup, C. R. Brinkmann et al., “Panobinostat, a histone deacetylase inhibitor, for latent-virus reactivation in HIV-infected patients on suppressive antiretroviral therapy: a phase 1/2, single group, clinical trial,” The Lancet HIV, vol. 1, no. 1, pp. e13–e21, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. T. A. Rasmussen, O. S. Søgaard, C. Brinkmann et al., “Comparison of HDAC inhibitors in clinical development: effect on HIV production in latently infected cells and T-cell activation,” Human Vaccines and Immunotherapeutics, vol. 9, no. 5, pp. 993–1001, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. N. M. Archin, A. Espeseth, D. Parker, M. Cheema, D. Hazuda, and D. M. Margolis, “Expression of latent HIV induced by the potent HDAC inhibitor suberoylanilide hydroxamic acid,” AIDS Research and Human Retroviruses, vol. 25, no. 2, pp. 207–212, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. L. Shan, S. Xing, H.-C. Yang, H. Zhang, J. B. Margolick, and R. F. Siliciano, “Unique characteristics of histone deacetylase inhibitors in reactivation of latent HIV-1 in Bcl-2-transduced primary resting CD4+ T cells,” Journal of Antimicrobial Chemotherapy, vol. 69, no. 1, Article ID dkt338, pp. 28–33, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. F. Wightman, H. K. Lu, A. E. Solomon et al., “Entinostat is a histone deacetylase inhibitor selective for class 1 histone deacetylases and activates HIV production from latently infected primary T cells,” AIDS, vol. 27, no. 18, pp. 2853–2862, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. N. M. Archin, A. L. Liberty, A. D. Kashuba et al., “Administration of vorinostat disrupts HIV-1 latency in patients on antiretroviral therapy,” Nature, vol. 487, no. 7408, pp. 482–485, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. N. M. Archin, R. Bateson, M. K. Tripathy et al., “HIV-1 expression within resting CD4+ T cells after multiple doses of vorinostat,” Journal of Infectious Diseases, vol. 210, no. 5, pp. 728–735, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. J. H. Elliott, F. Wightman, A. Solomon et al., “Activation of HIV transcription with short-course vorinostat in HIV-infected patients on suppressive antiretroviral therapy,” PLoS Pathogens, vol. 10, no. 11, Article ID e1004473, 2014. View at Publisher · View at Google Scholar · View at Scopus
  24. C. A. Dinarello, G. Fossati, and P. Mascagni, “Histone deacetylase inhibitors for treating a spectrum of diseases not related to cancer,” Molecular Medicine, vol. 17, no. 5-6, pp. 333–352, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. A. S. Høgh Kølbæk Kjær, C. R. Brinkmann, C. A. Dinarello et al., “The histone deacetylase inhibitor panobinostat lowers biomarkers of cardiovascular risk and inflammation in HIV patients,” AIDS, vol. 29, no. 10, pp. 1195–1200, 2015. View at Publisher · View at Google Scholar
  26. M. C. Strain, S. M. Lada, T. Luong et al., “Highly precise measurement of HIV DNA by droplet digital PCR,” PLoS ONE, vol. 8, no. 4, Article ID e55943, 2013. View at Publisher · View at Google Scholar · View at Scopus
  27. O. S. Sogaard, M. E. Graversen, S. Leth et al., “The depsipeptide romidepsin reverses HIV-1 latency in vivo,” PLoS Pathogens, vol. 11, no. 9, Article ID e1005142, 2015. View at Publisher · View at Google Scholar
  28. S. Støy, A. Dige, T. D. Sandahl et al., “Cytotoxic T lymphocytes and natural killer cells display impaired cytotoxic functions and reduced activation in patients with alcoholic hepatitis,” American Journal of Physiology: Gastrointestinal and Liver Physiology, vol. 308, no. 4, pp. G269–G276, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. A. Brüel, T. E. H. Christoffersen, and J. R. Nyengaard, “Growth hormone increases the proliferation of existing cardiac myocytes and the total number of cardiac myocytes in the rat heart,” Cardiovascular Research, vol. 76, no. 3, pp. 400–408, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. K.-A. Dorph-Petersen, J. R. Nyengaard, and H. J. Gundersen, “Tissue shrinkage and unbiased stereological estimation of particle number and size,” Journal of Microscopy, vol. 204, no. 3, pp. 232–246, 2001. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  31. M. Tolstrup, C. R. Brinkmann, T. A. Rasmussen et al., “Panobinostat dosing has broad but transient immunomodulatory effects in HIV patients,” in Proceedings of the Annual Conference on Retroviruses and Opportunistic Infections (CROI ’15), abstract 405, Seattle, Wash, USA, February 2015.
  32. P. L. Amlot, F. Tahami, D. Chinn, and E. Rawlings, “Activation antigen expression on human T cells. I. Analysis by two- colour flow cytometry of umbilical cord blood, adult blood and lymphoid tissue,” Clinical and Experimental Immunology, vol. 105, no. 1, pp. 176–182, 1996. View at Publisher · View at Google Scholar · View at Scopus
  33. R. De Maria, S. Fais, M. Silvestri et al., “Continuous in vivo activation and transient hyporesponsiveness to TcR/CD3 triggering of human gut lamina propria lymphocytes,” European Journal of Immunology, vol. 23, no. 12, pp. 3104–3108, 1993. View at Publisher · View at Google Scholar · View at Scopus
  34. C. T. Weaver, R. D. Hatton, P. R. Mangan, and L. E. Harrington, “IL-17 family cytokines and the expanding diversity of effector T cell lineages,” Annual Review of Immunology, vol. 25, pp. 821–852, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. F. Ragusa, “Th1 chemokines in ulcerative colitis,” La Clinica Terapeutica, vol. 166, no. 2, pp. e126–e131, 2015. View at Publisher · View at Google Scholar
  36. R. Olesen, S. Vigano, T. A. Rasmussen et al., “Innate immune activity correlates with CD4 T cell-associated HIV-1 DNA decline during latency-reversing treatment with panobinostat,” Journal of Virology, vol. 89, no. 20, pp. 10176–10189, 2015. View at Publisher · View at Google Scholar
  37. R. M. Onishi and S. L. Gaffen, “Interleukin-17 and its target genes: mechanisms of interleukin-17 function in disease,” Immunology, vol. 129, no. 3, pp. 311–321, 2010. View at Publisher · View at Google Scholar · View at Scopus
  38. M. Awane, P. G. Andres, D. J. Li, and H.-C. Reinecker, “NF-κB-inducing kinase is a common mediator of IL-17-, TNF-α-, and IL- 1β-induced chemokine promoter activation in intestinal epithelial cells,” Journal of Immunology, vol. 162, no. 9, pp. 5337–5344, 1999. View at Google Scholar · View at Scopus
  39. F. Fossiez, O. Djossou, P. Chomarat et al., “T cell interleukin-17 induces stromal cells to produce proinflammatory and hematopoietic cytokines,” The Journal of Experimental Medicine, vol. 183, no. 6, pp. 2593–2603, 1996. View at Publisher · View at Google Scholar · View at Scopus
  40. D. V. Jovanovic, J. A. Di Battista, J. Martel-Pelletier et al., “IL-17 stimulates the production and expression of proinflammatory cytokines, IL-β and TNF-α, by human macrophages,” Journal of Immunology, vol. 160, no. 7, pp. 3513–3521, 1998. View at Google Scholar · View at Scopus
  41. H. Park, Z. Li, X. O. Yang et al., “A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17,” Nature Immunology, vol. 6, no. 11, pp. 1133–1141, 2005. View at Publisher · View at Google Scholar · View at Scopus
  42. S. C. Liang, X.-Y. Tan, D. P. Luxenberg et al., “Interleukin (IL)-22 and IL-17 are coexpressed by Th17 cells and cooperatively enhance expression of antimicrobial peptides,” The Journal of Experimental Medicine, vol. 203, no. 10, pp. 2271–2279, 2006. View at Publisher · View at Google Scholar · View at Scopus
  43. X. Guo, X. Jiang, Y. Xiao et al., “IL-17A signaling in colonic epithelial cells inhibits pro-inflammatory cytokine production by enhancing the activity of ERK and PI3K,” PLoS ONE, vol. 9, no. 2, Article ID e89714, 2014. View at Publisher · View at Google Scholar · View at Scopus
  44. W. O’Connor Jr., M. Kamanaka, C. J. Booth et al., “A protective function for interleukin 17A in T cell-mediated intestinal inflammation,” Nature Immunology, vol. 10, no. 6, pp. 603–609, 2009. View at Publisher · View at Google Scholar · View at Scopus