Abstract
Given the critical role of mucosal surfaces in susceptibility to infection, it is imperative that effective mucosal responses are induced when developing efficacious vaccines and prevention strategies for infection. Modulating the microbiota in the gastrointestinal (GI) tract through the use of probiotics (PBio) is a safe and well-tolerated approach to enhance mucosal and overall health. We assessed the longitudinal impact of daily treatment with the VSL#3 probiotic on cellular and humoral immunity and inflammation in healthy macaques. PBio therapy resulted in significantly increased frequencies of B cells expressing IgA in the colon and lymph node (LN), likely because of significantly increased LN T follicular helper cell frequencies and LN follicles. Increased frequencies of IL-23+ APCs in the colon were found post-PBio treatment, which correlated with LN T follicular helper cells. Finally, VSL#3 significantly downmodulated the response of TLR2-, TLR3-, TLR4-, and TLR9-expressing HEK293 cells to stimulation with Pam3CSK4, polyinosinic-polycytidylic acid, LPS, and ODN2006, respectively. These data provide a mechanism for the beneficial impact of PBio on mucosal health and implicates the use of PBio therapy in the context of vaccination or preventative approaches to enhance protection from mucosal infection by improving immune defenses at the mucosal portal of entry.
Introduction
Mucosal tissues are particularly vulnerable to infection because they are the major interface between the outside world and the internal environment. Often only a single layer of epithelial cells serves as a physical barrier between the host and the external environment. Protection from infection by pathogens at mucosal sites is facilitated by a complex interaction of multiple subsets of the innate and adaptive immune systems, leading to the production of soluble factors such as cytokines, chemokines, Igs, and antimicrobial peptides. Protection from infection is also achieved through the integrity of a mucus layer that protects the epithelial barrier and the presence of diverse microbial communities, collectively termed the microbiome (1). These protective mechanisms are critically important in preventing acquisition of sexually transmitted infections (STIs) (2, 3). In particular, mucosal immune integrity is important in preventing new HIV infections and HIV exposure at mucosal surfaces, such as the rectum or the vaginal tract, constitutes the major route for HIV transmission. Furthermore, alterations in the genital or gastrointestinal (GI) mucosa, including increased inflammation, changes in the host mucosa-associated microbiota, and damage to the mucosal epithelial barrier, all contribute to increased risk of HIV transmission and pathogenesis (4). Thus, it is critical that future preventative strategies against HIV and other mucosal infections include methods that enhance mucosal immunity because maintaining adequate protection of mucosal tissues could potentially increase resistance to initial infection and improve health in infected individuals (5).
One possible method to enhance the mucosal immune response is through modulation of the microbiota in the GI tract through probiotic (PBio) therapy. PBio treatment, described by the World Health Organization as “live microorganisms which when administered in adequate amounts confers a health benefit on the host,” is a safe and well-tolerated approach to enhancing mucosal and overall health (6–9). The use of PBio therapy has gained momentum given the numerous studies demonstrating the efficacy of PBio to enhance mucosal immune function and decrease GI-related diseases (6, 10, 11). In particular, probiotic therapy has been suggested to prevent recurrence or maintain remission from such inflammatory bowel diseases and complications as pouchitis, ulcerative colitis, and Crohn’s disease (10–13).
PBio therapy has been shown to exert its robust effects on the immune system through modulation of pattern recognition receptors, especially TLRs. For example, the genomes of Bifidobacterium spp. and Lactobacillus spp., common bacteria used in PBio therapies, are rich in unmethylated CpG motifs that can interact with TLR2 and TLR9 to enhance NF-κB signaling and epithelial barrier function by negating TLR4-induced epithelial disruption (14–16). PBio has also been implicated in the protection from viral infections, as demonstrated by the ability of Lactobacillus spp. to protect against respiratory syncytial virus and rotavirus infections through a TLR2- and TLR3-dependent manner (17–19).
In the context of SIV infection of nonhuman primates, a critical and highly related animal model of HIV infection, we have previously demonstrated that PBio treatment induced several beneficial alterations in antiretroviral therapy (ART)–treated SIV-infected pigtail macaques (20). Specifically, PBio-treated SIV-infected animals exhibited increased functionality of immune cells, decreased levels of cellular immune activation, and increased frequency and function of APCs and APC genes. Furthermore, recent work has demonstrated that treatment with PBio in conjunction with rIL-21 improves intestinal Th17 frequencies and decreases the incidence of non-AIDS comorbidities in ART-treated SIV-infected macaques (21). Several studies have also assessed the use of probiotics in HIV-infected individuals (22–24). Most recently, a study conducted in ART-treated HIV-infected individuals demonstrated that treatment with Saccharomyces boulardii, a probiotic yeast, for 12 wk leads to reduced systemic levels of bacterial translocation and the proinflammatory cytokine IL-6 (25). Taken together, these data suggest that PBio therapy elicits a positive impact on mucosal immunity, especially in the context of a chronic viral infection. However, the mechanism through which PBio therapy exerts these effects has remained unclear, especially in the absence of a confounding lentiviral infection.
The goal of this study was to assess the longitudinal impact of PBio therapy on various aspects of mucosal immunity in healthy macaques to better understand if augmenting the microbiome may benefit mucosal and lymphoid immunity. To do this, we treated healthy macaques with VSL#3, a probiotic that has been shown in several clinical and preclinical studies to be highly beneficial (10, 11). We found that this treatment induced short-term and long-term beneficial effects to mucosal and systemic immunity and provides rationale for potential use of PBio therapy as an immunomodulator for new strategies for prevention of mucosal infections.
Materials and Methods
Study animals
Two pigtail macaques (PTM) and three rhesus macaques (RM) received PBio VSL#3, 2.25 × 1011 bacteria daily (two capsules) for 80 d mixed with food. No adverse events due to PBio therapy were observed in any of the animals. Colon (all animals) and jejunum (RM) biopsies were obtained via endoscope, and inguinal or axillary lymph nodes (LN) were biopsied via surgical removal at baseline (day −7), day 28 and day 77/80 post-PBio treatment. Animals were housed and cared for in Association for the assessment and accreditation of Laboratory Animal Care international–accredited facilities, and all animal procedures were performed according to protocols approved by the Institutional Animal Care and Use Committee of University of Washington and Washington National Primate Research Center.
Tissue processing
LN tissues were dissected and a section was paraformaldehyde fixed and paraffin embedded for immunohistochemistry analysis. Remaining LN tissue was processed into a single-cell suspension in R10 medium (RPMI 1640 medium with 2.05 mM l-glutamate, supplemented with 10% FBS, 100 U/ml penicillin, and 100 μg/ml streptomycin [all from GE Healthcare, Logan, UT] and 0.5 mg/ml gentamicin [Corning, Manassas, VA]), as described previously (26). One to two gut biopsies were removed and fixed in paraformaldehyde for immunohistochemistry use, and the remaining biopsies were digested with Liberase (40 μg/ml; Sigma-Aldrich, St. Louis, MO) and DNAse (4 μg/ml; Sigma-Aldrich) in R10 medium without FBS for 1 h at 37°C with vigorous stirring and then ground through a 70-μm cell strainer into a single-cell suspension in R10 medium. Single-cell suspensions were stained immediately for flow cytometric analysis.
Flow cytometry
Multicolor flow cytometric analysis was performed on isolated LN and colon cells, according to standard procedures using optimized anti-macaque or anti-human mAbs that cross-react with PTM and RM. Predetermined optimal concentrations were used of the following Abs: anti-CD3 PerCP (clone SP34-2; BD Pharmingen, San Jose, CA), anti-CD4 eFluor605NC (clone OKT4; eBioscience, San Diego, CA), anti-CD8 APC-H7 (clone SK1; BD Biosciences, San Jose, CA), anti-CD28 ECD (clone CD28.2; Beckman Coulter, Brea, CA), anti-CD95 eFluor450 (clone DX2; eBioscience), anti-CXCR5 PE-Cy7 (clone MU5UBEE; eBioscience), anti–PD-1 PerCP-eFluor710 (clone eBioJ105; eBioscience), anti–Ki-67 AF700 (clone B56; BD Pharmingen), anti–HLA-DR BV711 (clone L243; BioLegend, San Diego, CA), anti-NKp44 APC (Miltenyi Biotec, San Diego, CA), anti-CD20 BV570 (clone 2H7; BioLegend), anti-IgA (polyclonal; Jackson ImmunoResearch Laboratories, West Grove, PA), anti-IgG PE-Cy5 (clone G18-145; BD Pharmingen), and anti–IL-23 eFluor660 (clone 23dcdp; eBioscience). All cells were stained with the Live/Dead Fixable Aqua Dead Cell Stain Kit (Thermo Fisher Scientific, Grand Island, NY), excluding dead cells. All samples were permeabilized and fixed using CytoFix/Perm Kit (BD Pharmingen) and intracellularly stained to detect either Ki-67 or IL-23. For intracellular cytokine staining, cells were stimulated with PMA (5 ng/ml; Sigma-Aldrich) and ionomycin (1 μM/ml; Thermo Fisher Scientific) for 10–14 h with brefeldin A (1 μg/ml; Sigma-Aldrich), added after 1 h of stimulation. Flow cytometric acquisition was performed on a BD LSRII cytometer using FACS Diva software (version 8; BD Pharmingen). Analysis of the acquired data was performed using FlowJo software (version 10.0.8; Tree Star, Ashland, OR).
HEK TLR cell lines
HEK-Blue cells individually expressing TLR2, TLR3, TLR4, and TLR9; an NF-κB–inducible secreted embryonic alkaline phosphatase reporter gene; and the Null-1 control cell line were purchased from InvivoGen (San Diego, CA). Cell lines were initially expanded in growth medium (DMEM supplemented with 4.5 g/l glucose and l-glutamine [Corning], 10% FBS, 100 U/ml penicillin, 100 μg/ml streptomycin, and 100 μg/ml Normocin [InvivoGen]), according to the manufacturers’ instructions. Cells were passaged every 2–3 d when cells were 70–80% confluent. After four passages in growth medium, each cell line was passaged in the presence of various selective antibiotics, including HEK-Blue Selection, blasticidin, and Zeocin (all from Invitrogen), according to the manufacturer’s instructions. After 10 passages, cells were used in PBio stimulation experiments. Cells were resuspended at 280,000 cells/ml in HEK-Blue Detection medium (InvivoGen) and plated at 50,400 cells/condition. Cells were cultured for 19 h in the presence of positive controls appropriate for each cell line (human [h]TLR2: 10 ng/ml Pam3CSK4; hTLR3: 1 μg/ml polyinosinic-polycytidylic acid; hTLR4: 100 ng/ml LPS-EK Ultrapure; hTLR9: 10 μg/ml ODN2006) (all from InvivoGen), VSL#3 resuspended in 100, 200, or 500 ml molecular biology grade water (22.5 × 106, 11.25 × 106, and 4.5 × 106 bacteria cells/condition, respectively), combinations of the positive control and the three VSL#3 doses or endotoxin-free H2O (negative control; GE Healthcare). Positive signaling through TLRs was assessed by measuring activity of secreted embryonic alkaline phosphatase, an enzyme that hydrolyzes a substrate included in the HEK-Blue detection medium, resulting in a colorimetric change quantifiable by a spectrophotometer at 655 nm. All conditions were performed in triplicate. Background signaling (results from the Null-1 control cell line) was subtracted from each of the TLR-expressing cell lines.
Statistical analysis
Statistical analysis was performed using GraphPad Prism statistical software (version 6; GraphPad Software, San Diego, CA). Statistical significance between baseline (day 7) and post-PBio treatment time points (days 28 and 77/80) was evaluated using a paired t test. Note that samples from day 77 or 80 were considered one time point and grouped for statistical testing. Correlations were completed using a Pearson test. Statistical significance between different stimulation conditions of the HEK-Blue TLR–expressing cell lines was evaluated using a paired t test. A p value < 0.05 was considered significant.
Results
Experimental design
To evaluate the longitudinal impact of PBio therapy in the absence of a confounding lentiviral infection, healthy PTM (n = 2) and RM (n = 3) were treated orally with the medical-grade probiotic VSL#3 (two capsules; 2.25 × 1011 bacteria daily) for 77–80 d. The VSL#3 probiotic consists of Bifidobacterium breve, Bifidobacterium longum, Bifidobacterium infantis, Lactobacillus acidophilus, Lactobacillus plantarum, Lactobacillus paracasei, Lactobacillus bulgaricus, and Streptococcus thermophiles. Colon and LN samples were obtained from each animal at day −7 pre-PBio treatment and days 28 and 77 or 80 post-PBio therapy (Fig. 1). No adverse events due to PBio therapy were observed in any of the animals.
Experimental timeline. LN and colon/jejunum biopsies were collected from two PTM and three RM prior to (day −7) and post-PBio treatment (days 28 and 77/80). Red arrows indicate days on which tissue was collected from each animal. Blue arrow indicates initiation of PBio therapy.
Experimental timeline. LN and colon/jejunum biopsies were collected from two PTM and three RM prior to (day −7) and post-PBio treatment (days 28 and 77/80). Red arrows indicate days on which tissue was collected from each animal. Blue arrow indicates initiation of PBio therapy.
PBio therapy increases IgA in colon and LN
One of the major mechanisms used by the mucosal immune system to manage and maintain intestinal homeostasis is the production of mucosal IgA, which not only aids in the defense against intestinal pathogens but also helps to regulate the commensal intestinal microbiome (27). Indeed, previous work has shown that treatment of mice with various strains of PBio lactobacilli spp. induced an increase in the level of IgA in the intestine (28, 29) and an increase in the frequency of small-intestine IgA-expressing B cells (30). To assess whether PBio treatment with VSL#3 resulted in commensurate changes to Ig phenotype, we measured the frequency of B cells that expressed IgA versus IgG before and after PBio therapy using flow cytometry (Fig. 2A, representative staining). We found a trend toward increased IgA expression in both the colon and LN (p = 0.0537 and 0.1444, respectively) at day 28 post-PBio and a significant increase in IgA-expressing B cells at both sites by day 77 (p = 0.0072 and 0.0151, respectively, Fig. 2B). Conversely, we observed a trend toward decreased IgG-expressing B cells in the colon and LN at day 28 post-PBio (p = 0.0778 and 0.3379, respectively), and IgG was significantly decreased at both sites by day 77 post-PBio (p = 0.0486 and 0.0411, respectively, Fig. 2C). These data indicate that treatment with VSL#3 led to enrichment of B cells expressing IgA in mucosal and LN tissues that could have resulted from enhanced class switching from IgG to IgA or an overall increase in IgA+ B cells.
Increased frequency of IgA-expressing B cells in colon and LN post-PBio therapy. (A) Representative staining demonstrating the IgA- and IgG-expressing populations of B cells (CD20+) in the LN pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The percentage of IgA+ and IgG+ cells was then determined within the CD3−CD20+ cell population. (B) Percentage of IgA-expressing B cells in the colon (left panel) and LN (right panel) at all time points. (C) Percentage of IgG-expressing B cells in the colon (left panel) and LN (right panel) at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
Increased frequency of IgA-expressing B cells in colon and LN post-PBio therapy. (A) Representative staining demonstrating the IgA- and IgG-expressing populations of B cells (CD20+) in the LN pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The percentage of IgA+ and IgG+ cells was then determined within the CD3−CD20+ cell population. (B) Percentage of IgA-expressing B cells in the colon (left panel) and LN (right panel) at all time points. (C) Percentage of IgG-expressing B cells in the colon (left panel) and LN (right panel) at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
PBio therapy increases T follicular helper cells in LN
One mechanism to explain the expansion of IgA+ B cells in the colon and LNs as a result of PBio therapy is increased frequencies of T follicular helper cells (Tfh cells). The major function of Tfh cells is to induce B cell responses in the LN (31, 32). Thus, the ability to alter and/or induce B cell Ab responses in vivo may rely on efficient Tfh responses. Given the observed alteration in B cell Ig production upon PBio treatment, we next measured Tfh cells from the LN of all animals by coexpression of PD-1 and CXCR5 on CD4+ T cells by flow cytometry (Fig. 3A, representative staining). We found that there was a significant increase in the frequency of Tfh cells in the LN at day 28 post-PBio treatment (p = 0.0085), which was maintained through day 77 post-PBio therapy (p = 0.0173, Fig. 3B).
Increased frequency of Tfh in the LN post-PBio therapy. (A) Representative staining demonstrating the Tfh population in the LN pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of Tfh cells within this subset was then determined by gating on CD3+CD4+PD-1hiCXCR5+ cells. (B) Percentage of Tfh in the LN at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
Increased frequency of Tfh in the LN post-PBio therapy. (A) Representative staining demonstrating the Tfh population in the LN pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of Tfh cells within this subset was then determined by gating on CD3+CD4+PD-1hiCXCR5+ cells. (B) Percentage of Tfh in the LN at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
To determine whether the increased Tfh cells were associated with increased LN follicles, we assessed LN morphology via H&E staining, as described previously (33). We quantified the number of follicles and found a trend toward increased overall follicles in the LN after PBio therapy (average follicle number pre-PBio was 17.6 ± 5.03; post-PBio was 30.2 ± 15.3; p = 0.1130, data not shown, representative immunohistochemistry, Supplemental Fig. 1). Thus, PBio therapy led to an increased frequency of Tfh in the LN and increased LN follicles, which could subsequently influence B cell class switching to IgA and homing of these cells to the intestinal mucosa.
PBio therapy increases IL-23 production by APCs
Tfh cells can be induced by their microenvironment, namely by key cytokines such as IL-23. IL-23 is produced mostly by APCs and is essential for induction of many essential CD4+ T cell subsets, including Tfh and Th17 cells (34). In addition, deficiency of the IL-12R β1 (also the IL-23R) results in decreased Tfh and B cells (35). Thus, we next measured the effect of PBio treatment on IL-23 production by APCs from the colon and LN after mitogen stimulation (Fig. 4A). We found that there was an early increase (day 28) in IL-23 production by APCs in both the colon and LN (p = 0.0173 and 0.0475, respectively, Fig. 4B) after PBio therapy, but this increase did not persist to day 77 post-PBio treatment. Notably, we found a significant correlation between the frequency of IL-23 producing APCs in the colon and the frequency of LN Tfh cells (p = 0.0358, r = 0.5446, Fig. 4C), suggesting that IL-23 production after PBio therapy could drive the expansion of Tfh cells in the LN.
Increased frequency of IL-23+ APC in the colon and LN post-PBio therapy. (A) Representative staining demonstrating the IL-23+ APC population in the colon pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of IL-23+ APCs within this subset was then determined by gating on CD45+HLA-DR+ cells. (B) Percentage of IL-23+ APC in the colon (left panel) and LN (right panel) at all time points. Each animal is represented by a different symbol. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day 7) was calculated using a paired t test. (C) Correlation between colon IL-23+ APC frequencies and LN Tfh frequencies at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Day −7 time points are green, day 28 time points are blue, and day 77/80 time points are red. Statistical significance of the correlation was calculated using a Pearson test.
Increased frequency of IL-23+ APC in the colon and LN post-PBio therapy. (A) Representative staining demonstrating the IL-23+ APC population in the colon pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of IL-23+ APCs within this subset was then determined by gating on CD45+HLA-DR+ cells. (B) Percentage of IL-23+ APC in the colon (left panel) and LN (right panel) at all time points. Each animal is represented by a different symbol. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day 7) was calculated using a paired t test. (C) Correlation between colon IL-23+ APC frequencies and LN Tfh frequencies at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Day −7 time points are green, day 28 time points are blue, and day 77/80 time points are red. Statistical significance of the correlation was calculated using a Pearson test.
PBio therapy decreases frequency of proliferating and activated CD4+ T cells in the colon
A concern in any mucosal intervention is balancing the benefits of initiating essential immune responses against the potential risk of excessive inflammation. Indeed, inflammatory bowel disease, which is classically defined as chronic uncontrolled intestinal inflammation, can be characterized by elevated frequencies of activated T cells, including Th17 cells, in the intestine (36, 37) and increased percentages of activated and proliferating T cells in the periphery (38). In addition, it is well established that activated CD4+ T cells are the preferential targets of HIV (39), and the high prevalence of these cells in the GI tract causes this tissue to experience the greatest CD4+ T cell loss during progressive HIV infection and become a reservoir for HIV replication (40, 41). Therefore, we investigated whether treatment with PBio could impact the frequency of activated or proliferating cells. We found that the frequency of activated CD4+ T cells, as measured by HLA-DR expression, in the colon was significantly decreased at day 28 post-PBio therapy (p = 0.0310, Fig. 5A) and trended toward a sustained decrease to day 80 post-PBio treatment (p = 0.0612, Fig. 5A). In addition, the frequency of proliferating CD4+ T cells, as measured by Ki-67 expression, in the colon was significantly reduced 28 d post-PBio treatment (p = 0.0042, Fig. 5B), and this decrease was sustained to day 77/80 post-PBio therapy (p = 0.0013, Fig. 5B). This indicates that treatment with PBio therapy may decrease harmful excessive activation of adaptive immunity at mucosal sites and, for HIV infection in particular, could aid in reducing the availability of potential HIV target cells.
Decreased frequency of activated and proliferating CD4+ T cells in the colon post-PBio therapy. Percentage of HLA-DR–expressing (A) and Ki-67–expressing (B) CD4+ T cells at all time points. Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of CD3+CD4+HLA-DR+ or CD3+CD4+Ki-67+ cells was then identified within these cells. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
Decreased frequency of activated and proliferating CD4+ T cells in the colon post-PBio therapy. Percentage of HLA-DR–expressing (A) and Ki-67–expressing (B) CD4+ T cells at all time points. Cells were identified by first gating on lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of CD3+CD4+HLA-DR+ or CD3+CD4+Ki-67+ cells was then identified within these cells. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
PBio therapy may alter frequency of innate lymphoid cell 3
In addition to the well-documented loss of CD4+ T cells from the mucosa of HIV-infected individuals, recent work has shown that a subset of innate lymphoid cells (ILC), known as ILC3, are depleted in the mucosa of SIV-infected macaques (42–44). ILC3s play an important role in maintaining intestinal integrity through their production of homeostatic cytokines, including IL-22 and IL-17, and loss of these cells during SIV infection contributes to loss of epithelial integrity (42, 45), which could contribute to gut dysfunction. We therefore examined whether PBio therapy would have a beneficial impact on ILC3 frequency by gating NKp44+ ILCs by flow cytometry as described previously (42) (Fig. 6A, representative staining). We found that PBio therapy resulted in a trend toward increased ILC3 frequency in the colon post-PBio treatment (day 28: p = 0.1966; day 77/80: p = 0.0560, Fig. 6B).
Increased frequency of ILC3 in colon and jejunum post-PBio therapy. (A) Representative staining demonstrating ILC3 frequency in the colon pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on CD45+ lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of ILC3s was then identified by gating on CD3−CD8−HLA-DR−/lowNKp44+ cells. Percentage of ILC3 in the colon (B) and jejunum (C) at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
Increased frequency of ILC3 in colon and jejunum post-PBio therapy. (A) Representative staining demonstrating ILC3 frequency in the colon pre-PBio (left panel) and post-PBio (right panel). Cells were identified by first gating on CD45+ lymphocytes and excluding doublets using forward light scatter and side scatter (of light) properties and removing dead cells with an Aqua Live/Dead viability dye. The frequency of ILC3s was then identified by gating on CD3−CD8−HLA-DR−/lowNKp44+ cells. Percentage of ILC3 in the colon (B) and jejunum (C) at all time points. Each animal is represented by a different symbol (n = 5). Each experiment was performed once per animal per time point. Statistical significance between the two post-PBio time points (day 28 or 77/80) and the pre-PBio time point (day −7) was calculated using a paired t test.
Previous work has shown that ILC3 are persistently depleted in the jejunum of SIV-infected macaques (44). Therefore, in a subset of animals (only three animals with jejunum data available), we investigated whether ILC3 frequency in the jejunum would be impacted by PBio therapy. We found that in this small group, ILC3s trended toward increasing in the jejunum 28 d post-PBio treatment and were significantly increased by 77/80 d post-PBio treatment (p = 0.1250 and 0.0050, respectively, Fig. 6C). These data suggest that PBio therapy enhances ILC3 frequencies in the small intestine and could potentially enhance mucosal homeostasis in HIV-infected individuals.
PBio modulates signaling through TLRs
Previous work has demonstrated that PBio therapy exerts its immunomodulatory effect by regulating signaling through pattern recognition receptors, including TLRs (14, 46, 47). To better understand the mechanism by which PBio therapy elicits the observed immune changes we describe in this paper, we used HEK-293 T cells that had been stably transfected with individual TLRs and a colorimetric reporter gene. TLR2-, TLR3-, TLR4-, TLR9-expressing and Null-1 control cells were cultured in the presence of various doses of PBio, positive controls specific for each TLR, or combinations of the PBio doses and the positive controls. Activation of TLR signaling was assessed after 18 h of culture. PBio at all doses was able to elicit positive signaling through TLR2 (p < 0.0001 for all doses, Fig. 7A) but induced no positive signaling through TLR3, TLR4, or TLR9 (Fig. 7–D). Compared with the level of signaling in response to the positive control alone, coculture of TLR2-, TLR3-, TLR4- and TLR9-expressing cells with PBio at all doses significantly reduced signaling in response to the positive controls: Pam3CSK4, polyinosinic-polycytidylic acid, LPS, and ODN2006, respectively (p < 0.0001 for all comparisons, Fig. 7). Taken together, these data suggest that PBio are able to modulate signaling through TLRs, thus providing a mechanism by which PBio can regulate and contribute to intestinal homeostasis.
PBio downmodulates signaling through TLRs. Culture of (A) TLR2-, (B) TLR3-, (C) TLR4-, and (D) TLR9-expressing HEK-293 cells with various doses of PBio (one capsule in 100 ml water [1:100], one in 200 ml [1:200], or 1 in 500 ml [1:500]) alone or in conjunction with positive controls specific for each TLR (TLR2, 10 ng/ml Pam3CSK4; TLR3, 1 μg/ml poly(1:C); TLR4, 100 ng/ml Ultrapure LPS-EK; and TLR9, 10 μg/ml ODN2006). Data are representative of six independent experiments. Statistical significance between either the PBio alone and the negative control or the PBio + positive control, and the positive control alone was calculated using a paired t test. Poly(I:C:), polyinosinic-polycytidylic acid.
PBio downmodulates signaling through TLRs. Culture of (A) TLR2-, (B) TLR3-, (C) TLR4-, and (D) TLR9-expressing HEK-293 cells with various doses of PBio (one capsule in 100 ml water [1:100], one in 200 ml [1:200], or 1 in 500 ml [1:500]) alone or in conjunction with positive controls specific for each TLR (TLR2, 10 ng/ml Pam3CSK4; TLR3, 1 μg/ml poly(1:C); TLR4, 100 ng/ml Ultrapure LPS-EK; and TLR9, 10 μg/ml ODN2006). Data are representative of six independent experiments. Statistical significance between either the PBio alone and the negative control or the PBio + positive control, and the positive control alone was calculated using a paired t test. Poly(I:C:), polyinosinic-polycytidylic acid.
Discussion
In this study, we demonstrated that modulating the intestinal microbiome in healthy primates induces alterations to systemic and mucosal immunity and provides potential mechanistic insight into why probiotic therapy has profound benefits when routinely used. We observed that PBio administration resulted in elevated frequencies of colon and LN IL-23+ APCs. IL-23 is critical in inducing Tfh responses, which in turn are necessary for inducing B cell responses. Indeed, we found that the post-PBio frequency of colon IL-23+ APCs correlated positively with elevated frequencies of LN Tfh. This elevation in Tfh frequency likely contributed to the increased percentage of IgA-producing B cells we observed in the colon and the LN post-PBio. Furthermore, we identified significant PBio-induced increases in the frequency of jejunum and colon ILC3s. Although IL-23+ cells and ILC3 did not correlate (data not shown), IL-23 is associated with ILC development and overall increases in the mucosae could contribute to increased ILC3s. Because mucosal IgA and intestinal ILC3s are essential in maintaining intestinal homeostasis, our data provide a model by which PBio promotes mucosal health through the modulation of the intestinal and peripheral immune functions.
Our results show that there is some variation over time in the response to PBio therapy. Notably, the significant increase in IL-23+ APCs at day 28 post-PBio therapy is not sustained to day 77 post-PBio treatment, despite continual treatment. A possible explanation for this decrease could be that the APCs become tolerant of PBio therapy over time, thereby decreasing their cytokine response to the treatment. Alternatively, the APCs could be trafficking to various lymphatic sites, lowering the overall frequencies of these cells in the colon and LN, and thereby contributing to the systemic effects of PBio therapy observed in this study. Further studies are necessary to determine the exact cause of this observation.
Previous work has suggested that the method by which PBio exerts its beneficial effect is through modulation of TLR signaling. In particular, TLR9 has been suggested as a mediator of the beneficial impact of PBio, as treatment with PBio was unable to decrease the severity of dextran sodium sulfate–induced colitis in TLR9-deficient mice (48). Our data using individual TLR-expressing cell lines suggests that VSL#3 PBio do not specifically signal through TLR3, 4, or 9 but by TLR2. However, regardless of the ability to positively signal through TLRs, VSL#3 PBio are able to downmodulate the response of TLR2-, TLR3-, TLR4-, and TLR9-expressing cell lines to stimulation with their specific ligands. These results indicate that VSL#3 may play a regulatory role in the intestine by limiting TLR-induced immune activation via reducing the amount of signaling through TLRs. These findings have particular implications for inflammatory diseases such as HIV in which breakdown of the intestinal epithelial barrier results in high levels of translocation of bacterial products, particularly LPS, from the lumen of the gut into the systemic periphery. Proinflammatory responses to translocated microbes and microbial products, such as via TLR4 signaling after LPS stimulation, contribute to the elevated immune activation and inflammation that are characteristic of HIV infection (49). Thus, our findings suggest that the use of PBio therapy to downmodulate inflammatory signaling through TLRs could help to reduce immune activation in the GI tract in response to HIV-associated bacterial translocation. Limiting inflammation in this tissue could not only promote intestinal homeostasis and health but also potentially reduce residual viral replication and eventually diminish the intestinal viral reservoir. In addition, inflammation has been highly correlated with transmission of STIs and HIV and thus decreasing overt inflammation at mucosal surfaces may lead to increased protection from infections. Future studies are necessary to determine whether this mechanism determined using an in vitro culture system would be useful in minimizing inflammation in vivo, given the complexity of TLR signaling in tissues.
The alterations we observed in this study have several implications for improving vaccine responses or therapeutics, especially in the context of HIV and other mucosal infections such as STIs. The robust immunity this therapy induced could potentially be protective when combined with vaccines by increasing vaccine-induced mucosal immunity. Indeed, testing PBio therapy as a persistent adjuvant for mucosal vaccination strategies is warranted. However, a concern when eliciting mucosal immunity is the fear of unintentionally inducing targets for infection, especially in the context of HIV, where CD4+ T cells are the major targets for infection. This was of particular concern in this study given the increased frequencies of Tfh cells, which have been shown to be preferential targets for HIV infection (50, 51). However, our data suggest that treatment with PBio leads to a reduction in mucosal frequencies of activated and proliferating CD4+ T cells. Thus, even though Tfh cells are increased in lymphoid tissues, the decreased frequency of activated and proliferating CD4+ T cells at the mucosal portals of entry may be protective, warranting further investigation of these mechanisms.
One question that remains unanswered is whether the beneficial effects of PBio therapy are due to bacteria themselves or bacterial products. It has been hypothesized that probiotics do not persistently colonize the GI tract, and as such, long-term daily treatment is required for beneficial effects. This indicates that it is more likely the bacterial products that are important for immunity. Indeed, our data demonstrate alterations to TLR signaling with probiotics even in short-term cocultures, which suggests that bacterial products capable of stimulating or inhibiting TLR responses can result in modulated immunity. Future studies to determine mechanisms to improve colonization of probiotic bacteria or alternatively sustained delivery of bacterial products that does not require daily intake of probiotics would be highly beneficial.
A caveat of this study is that a relatively small number of macaques (n = 5) were used, and some animal-to-animal variation was observed. However, even within this small subset of animals, PBio therapy had a statistically significant impact, and we expect that with a larger sample size we would see similar if not more striking differences. Additional studies with larger animal cohorts are currently being planned to further investigate the immunological impact of PBio therapy. A further caveat of this study is that we used both PTM and RM simultaneously to understand the impact of PBio treatment. However, because no differences in the results obtained with either type of macaque were found, we believe that this in fact strengthens our findings because our results are consistent across species and are not just limited to a particular subset.
In summary, these data provide a comprehensive analysis of the effects of PBio therapy in healthy primates. We found that PBio therapy results in increases in many immune cell types that could be extraordinarily protective in the context of mucosal immunity and infections. In addition, given that probiotics are extremely well tolerated with virtually no adverse side effects, use of PBio in mucosal protection could be very advantageous. These data demonstrate that future studies to exploit microbiome manipulation as a tool to improve mucosal vaccine responses or decrease mucosal inflammation and infections should be performed.
Acknowledgements
We thank all veterinary staff of the Washington National Primate Research Center for animal studies; Michael Koday for assistance with tissue processing; Sigma-τ for generous contribution of VSL#3 probiotics for these studies; Dr. Jason Brenchley for helpful advice in preparing this manuscript; and the Histology and Immunohistochemistry Core of the University of Washington, Department of Comparative Pathology, for assistance with tissue preparation.
Footnotes
This work was supported by startup funds from the University of Washington and the Washington National Primate Research Center (to N.R.K.). Follow-up studies were supported by National Institutes of Health/National Institute of Allergy and Infectious Diseases Grants 1R01AI120712-01 (to N.R.K.) and 1R21AI120795-01 (to R.K.R.).
The online version of this article contains supplemental material.
References
Disclosures
The authors have no financial conflicts of interest.