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* Institute of Medical Immunology and
Berlin-Brandenburg Center of Regenerative Therapies, Charité Universitätsmedizin Berlin, Berlin, Germany;
Miltenyi Biotec GmbH, Bergisch Gladbach, Germany;
Therapeutic Human Polyclonals Inc., Mountain View, CA 94043; and
¶ Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| Abstract |
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| Introduction |
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Because inflammatory changes within the graft, including ischemia reperfusion (I/R) injury, initiate the maturation of donor DCs in vivo (10), one aim of targeting inflammation in transplant medicine is to prevent donor DC maturation. Evidence that the cytoprotective enzyme heme oxygenase 1 (HO-1) modulates DCs was recently provided by the demonstration that an induction of HO-1 by the metalloporphyrin cobalt-protoporphyrin IX (CoPPIX) could inhibit LPS-induced bone-marrow-derived DCs (BMDCs), whereas tin-protoporphyrin (SnPPIX), which is known to block HO-1 activity (11), showed no effect on the maturation process (12, 13). HO-1 catabolizes heme into three byproducts, carbon monoxide (CO), iron, and biliverdin (14), and biliverdin is further converted to bilirubin through biliverdin reductase. HO-1 is classified as heat shock protein 32 (HSP32) and is induced in response to various stimuli such as hypoxia, endotoxins, heat shock, reactive oxygen species (ROS), or ischemia, acting as a cytoprotective protein (15). The observed inhibition of phenotypic DC maturation as a consequence of HO-1 induction (12) might be one of the major mechanisms explaining the observation that the application of CoPPIX in organ donors could lead to prolonged allogeneic graft survival in kidney (16, 17), heart (18), and bone marrow transplantation (19). Additionally it has been demonstrated that treatment with CoPPIX to induce HO-1 ameliorated I/R injury (20, 21) and that a single donor treatment with methylene chloride (MC) to induce CO ameliorated chronic allograft nephropathy, as reflected in the reduced number of donor-derived DCs (22). Recently, we demonstrated that CoPPIX-mediated induction of HO-1 in rat BMDCs matured with LPS resulted in reduced mRNA expression of MHC class II and costimulatory molecules. Similar results were obtained in an experimental model of kidney transplantation. The CoPPIX treatment of organ donors for HO-1 induction 24 h before organ harvesting led to decreased levels of MHC class II expression and costimulatory molecules in the recipients spleen, suggesting diminished migration and activation of donor-derived DCs (23).
Against the background of the immunomodulatory capacity of CoPPIX-induced HO-1 overexpression, we aimed to uncover the molecular mechanisms downstream of HO-1. To investigate potential candidate genes for CoPPIX-mediated HO-1 induction and its byproduct, CO, we performed gene expression analysis of murine whole liver tissue by using customized cDNA microarrays after the treatment of mice with CoPPIX, MC for CO induction, and CO exposure. Remarkably, STAT3 was shown to be induced shortly after treatment with CoPPIX. As it has been shown that STAT3 activation is able to block the maturation of BMDCs (24), we investigated whether HO-1 (12) or STAT3 activation is responsible for the CoPPIX-mediated suppression of DC maturation after LPS treatment. In summary, our data illustrate that this inhibitory effect is associated with an activation of STAT3 and could not be attributed to the activity of HO-1.
| Materials and Methods |
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Animal care and experimental procedures were performed under pathogen-free conditions in accordance with established institutional guidance and approved protocols from the Animal Care Facility of Charité Universitätsmedizin, Berlin, Germany. Male BALB/c and C57BL/6 mice at the age of 8 wk were purchased from Harlan Winkelmann. HO-1–/– knockout and wild-type C57BL/6 x FVB (8–10 wk) mice (25) were bred in the Animal Facility of the Department of Medical Biotechnology, Jagiellonian University (Kraków, Poland).
In vivo treatment
For the analysis of gene expression profiles in vivo, C57BL/6 mice were treated either with 5 mg/kg CoPPIX i.p., 50 mg/kg MC per os, or 500 ppm CO for 6 or 24 h (three animals in each group). Untreated C57BL/6 mice were used as controls (n = 9). After 6 or 24 h of treatment, animals were sacrificed and whole livers were recovered for analysis.
cDNA array production
A customized PIQOR cDNA microarray (Miltenyi Biotec) spotted with 792 immune-related murine and 27 rat-specific cDNAs was used for analysis. Array production was done as previously described (26, 27). Briefly, defined 200- to 400-bp fragments of selected cDNAs were generated by RT-PCR (SuperScript II; Invitrogen), cloned into pGEM-T vector (Promega), and sequence verified. Amplified inserts (Taq PCR master mix; Qiagen) were purified (QIAquick 96 PCR BioRobot kit; Qiagen), checked on an agarose gel, and spotted four times (0.2 ng) on pretreated glass slides with a noncontact, piezo-based spotting device.
Isolation of total RNA, labeling, and hybridization
Whole liver tissues were disrupted with an Ultra-Turrax homogenizer (Janke & Kunkel). Total RNA was extracted from whole organs using the NucleoSpin RNA L kit (Macherey-Nagel). Sample quality and quantity were assessed with an Agilent 2100 Bioanalyzer (Agilent Technologies). All samples possessed 18S and 28S rRNA peaks with no RNA degradation. mRNA isolation and fluorescent labeling of the probes were performed as previously described (26, 27). Briefly, 100 µg of total RNA was combined with a control RNA consisting of an in vitro transcribed Escherichia coli genomic DNA fragment carrying a 30-nt poly(A)+ tail, and the mRNA was isolated (Oligotex mRNA mini kit; Qiagen). The resulting mRNA was diluted to 17 µl and combined with 2 µl of a second control RNA, a mixture of three different transcripts. The mRNA was then reverse transcribed by adding it to a mix consisting of 8 µl of 5x first strand buffer (Invitrogen), 2 µl of primer mix (oligo(dT) and randomers), 2 µl of low-C dNTPs (10 mM dATP, 10 mM dGTP, 10 mM dTTP; and 4 mM dCTP), 2 µl of FluoroLink Cy3/5-dCTP (Amersham Biosciences), 4 µl of 0.1 M DTT, and 1 µl of RNasin (20–40 U) (Promega). SuperScript II reverse transcriptase (200 U; Invitrogen) was added and incubated at 42°C for 30 min followed by the addition of a further 1 µl of SuperScript II reverse transcriptase, and incubation under the same conditions detailed above was conducted. RNaseH (0.5 µl; Invitrogen) was added and incubated at 37°C for 20 min to hydrolyze RNA. Cy3- and Cy5-labeled samples were combined and cleaned up using QIAquick (Qiagen). Eluents were diluted to a volume of 50 µl. Fifty microliters of 2x hybridization solution (Miltenyi Biotec) prewarmed to 42°C were added. Hybridization was performed according to the manufacturers guidelines (Miltenyi Biotec) using a GeneTAC hybridization station (PerkinElmer). Slides were fixed in the GeneTAC hybridization station. One hundred microliters of prehybridization solution were added and slides were prehybridized at 65°C for 30 min. Then 100 µl of purified, mixed Cy3- and Cy5-labeled probes in 2x hybridization solution was pipetted onto the slides, thereby displacing the prehybridization solution. Hybridization was then performed for 14 h at 65°C, followed by four washing steps conducted at 50°C following the manufacturers instructions (Miltenyi Biotec). RNA from control livers was labeled with Cy3-dCTP, and RNA from treated samples was labeled with Cy5-dCTP.
Data analysis
In total, 42 cDNA microarray experiments were performed. Image capture and signal quantification of hybridized PIQOR cDNA microarrays were done with the ScanArray3000 (GSI Lumonics) and ImaGene software version 4.1 (BioDiscovery). For each spot, the local signal was measured inside a fixed circle 350 µm in diameter, and the background was measured outside the circle within specified rings 40 µm distant to the signal and 40 µm wide. Signal and background were taken to be the average of pixels between defined low and high percentages of maximum intensity, with percentage of parameter settings for low/high being 0/97% for signal and 0/80% for background. Local background was subtracted from the signal to give the net signal intensity and the ratio of Cy5/Cy3. The ratios were normalized to the median of all ratios by using only those spots for which the fluorescent intensity in one of the two channels was two times the negative control. Subsequently, the mean of the ratios of four corresponding spots representing the same cDNA was computed. The negative control for each array was computed as the mean of the signal intensity of four spots representing herring sperm and four spots representing spotting buffer only. Only genes displaying a net signal intensity 2-fold higher in the control or treatment sample than in the negative control were used for further analysis. For linear scaling, ratios with values <1 were treated in the following way: (1/ratio) x –1. Therefore, –1 and + 1 values were considered as equal. The data discussed in this publication have been deposited in the Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/geo/) of the National Center for Biotechnology Information and are accessible through GEO Series accession no. GSE8452.
Quantitative real-time RT-PCR
Real-time RT-PCR was performed as described elsewhere (28). The expression of selected genes was analyzed by real-time PCR using the ABI PRISM 7500 sequence detection system (TaqMan; PerkinElmer Biosystems). We designed amplification primers and probes for STAT3, suppressor of cytokine signaling 3 (SOCS3), HO-1, TNF-
, IL-6, IL-10, IL-12p40, programmed death ligand-1 (PDL-1), IFN-
, and hypoxanthine guanine phosphoribosyltransferase (HPRT) to span the exon borders to exclude cross-reactivity with genomic DNA using Primer Express software 2.0 (Applied Biosystems) (Table I). Gene expression analysis of CD80, CD86, MHC class II, ICAM-1, and B cell lymphoma 3 (BCL3) was performed using TaqMan gene expression assays (Applied Biosystems) according to the manufacturers instructions. SYBR Green PCR was performed in a final volume of 25 µl containing 1 µl of cDNA, 12.5 µl of Brilliant SYBR Green QPCR master mix (Stratagene), 6 µl of primer mix, and 6.5 µl of distilled water. Specific gene expression was normalized to the housekeeping gene β-actin or HPRT by using the formula 2–
Ct (where Ct is threshold cycle), which also showed no regulation in the microarray experiments. The result for the relative gene expression was calculated by the 2–
Ct method. The mean Ct values for the genes of interest and the housekeeping gene were calculated from double determinations. Samples were considered negative if the Ct values exceeded 40 cycles.
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Murine BMDCs were generated as previously described (29). In brief, 7.5 x 105 or 7.5 x 104 bone marrow cells were cultured in either 24-well or 96-well plates (BD Biosciences) with RPMI 1640 supplemented with 10% FBS, 1% penicillin-streptomycin (PAA Laboratories), and 10 ng/ml recombinant murine GM-CSF. Cultures were fed every 2 days with fresh medium containing recombinant murine GM-CSF. On day 7, adherent immature BMDCs (purity
90% CD11c+) were used for additional experiments. Murine CD4+ T cells were isolated from spleen and enriched using CD4+ MACS beads (Miltenyi Biotec) according to the manufacturers instructions. Purity of isolated cells was routinely
97%.
siRNA design
Small interfering RNA (siRNA) against STAT3 was designed using the siRNA Selection Program at the Whitehead Institute for Biomedical Research, Cambridge, MA (30). The sense and antisense strands of murine STAT3 siRNA were 5'-CCUCCAGGACGACUUUGAU-3' (sense) and 5'-AUCAAAGUCGUCCUGGAGG-3' (antisense). The applied HO-1 siRNA was 5'-GCCACACAGCACUAUGUAA-3' (sense) and 5'-UUACAUAGUGCUGUGUGGC-3' (antisense) as already described (31). The nonsilencing (n.s.) siRNA as negative control was 5'-UUCUCCGAACGUGUCACGU-3' (sense) and 5'-ACGUGACACGUUCGGAGAA-3' (antisense). All lyophilized, 2'-deprotected, desalted, and purified siRNA duplexes were prepared according to the manufacturers instructions (Qiagen).
Transfection of immature BMDCs with siRNA
Immature BMDCs were transfected at day 7 with HiPerFect transfection reagent (Qiagen) according to the manufacturers instructions. Briefly, immature BMDCs seeded in 24-well plates were fed with 500 µl of RPMI 1640 supplemented with 10% FBS and 1% penicillin-streptomycin (PAA Laboratories). siRNAs were diluted in a final volume of 100 µl of OptiMEM medium (Invitrogen), 6 µl of HiPerFect reagent was added, and the mixture was incubated for 15 min for complex formation. The transfection mixture was added dropwise onto the immature BMDC culture. The cells were incubated at 37°C with 5% CO2 for 16 h until treatment. The transfection rate was routinely
80% and the viability of the BMDCs was not influenced by this method (data not shown).
Isolation of total RNA from BMDCs and cDNA synthesis
Isolation of total RNA from BMDCs was performed using the Absolutely RNA Miniprep kit (Stratagene) and reverse transcribed into cDNA by the murine leukemia reverse transcriptase (Invitrogen) according to the manufacturers instructions.
Treatment of BMDCs with cucurbitacin I, metalloprotoporphyrins, IL-10, and LPS
On day 8, murine immature BMDCs (including DCs transfected with siRNA) were treated for either 2 or 6 h with 50 µM CoPPIX, SnPPIX (Frontier Scientific), or sodium hydroxide (0.04 M NaOH (pH 7.4)). In addition BMDCs were pretreated with or without 50 ng/ml recombinant murine IL-10 (NatuTec) for either 6 or 18 h. Cells were then washed twice and cultured for a further 2 or 6 h. For STAT3 inhibitor experiments, immature BMDCs were pretreated for 1 h with or without 5 µM cucurbitacin I (Merck) before metalloprotoporphyrin treatment. BMDC maturation was initiated with 500 ng/ml LPS (Sigma-Aldrich) for 24 h. Cells and supernatants were recovered for further analysis.
Coculture of BMDCs and CD4+ T cells
BMDCs (4 x 104) were cultured in flat-bottom 96-well plates and treated as described above. After LPS treatment for 24 h, BMDCs were cocultured with 4 x 105 CFSE-labeled (Invitrogen) allogeneic CD4+ T cells (either BALB/c or C57BL/6). Alloproliferation was measured after 5 days by flow cytometry (32).
Western blotting
Western blotting was performed under standard conditions. In brief, 7.5 x 105 BMDCs were harvested, lysed, subjected to SDS-PAGE and transferred to nitrocellulose membranes (Hybond; Amersham Biosciences). Membranes were blocked with 5% nonfat dried milk in TBST (15 mM Tris-HCl (pH 8.0), 150 mM NaCl, and 0.1% Tween 20) and probed with primary Abs including anti-HO-1 (Nventa Biopharmaceuticals), anti-STAT3 (Cell Signaling Technology), anti-p38 MAPK (Cell Signaling), anti-Akt-1 (BD Biosciences), anti-phospho-STAT3 (BD Biosciences), anti-phospho-p38 MAPK (BD Biosciences), anti-phospho-Akt (BD Biosciences), anti-phospho-SAPK/JNK (where SAPK is stress-activated protein kinase; Cell Signaling), and anti-phospho-Erk1/2 (Cell Signaling) according to the manufacturers instructions. Immunoreactive bands were detected using HRP-linked Abs against rabbit or mouse IgG (GE Healthcare) and Amersham ECL plus Western blotting detection system (GE Healthcare) according to the manufacturers instructions.
Cytokine measurement
Murine BMDCs were treated as described above and supernatants were collected for cytokine measurement applying BD Cytometric Bead Array analysis (BD Biosciences).
Flow cytometry
Murine BMDCs were stained with biotinylated anti-MHC class II/PE-Cy5 coupled streptavidin and anti-CD86-FITC mAbs. PE-Cy5- or FITC-coupled rat anti-IgG2a
isotypes were used as negative controls (all Abs were purchased from eBioscience). Measurements were performed using a FACSCalibur flow cytometer (BD Biosciences). Data analysis was performed using Summit version 3.1 software (Cytomation).
Statistical analysis
Statistical analysis was performed using the nonparametric exact Mann-Whitney U test for small sample cohorts. All tests were assessed two-tailed using SPSS software version 12, and a probability of p < 0.05 was considered significant.
| Results |
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The biostatistical cluster analysis of gene expression profiles generated from murine whole liver tissues (C57BL/6) revealed a clear induction of STAT3 and SOCS3 exclusively following 6 h of CoPPIX treatment (Fig. 1A). In addition to STAT3 and SOCS3, genes including B cell lymphoma 3 (BCL3), ICAM-1, TNFR1, and IL1R1 were also up-regulated upon 6 h of CoPPIX treatment and clustered in close vicinity to STAT3 and SOCS3, indicating that 6 h of treatment with CoPPIX was clearly different from all other types of conditioning (Fig. 1A). Gene expression of STAT3 and SOCS3 was additionally verified by real-time RT-PCR (data not shown). To confirm the data observed with the cDNA microarray, we performed an independent experiment by treating animals with CoPPIX (n = 3). We confirmed the gene expression of STAT3 and SOCS3 and additionally of BCL3, ICAM-1, and HO-1 as a control for the presence of CoPPIX in the liver by real-time RT-PCR. The analysis revealed an induction of all genes with expression levels comparable to those observed in the cDNA microarray experiment (Fig. 1B).
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The maturation process of BMDCs has been shown to be inhibited by STAT3 activation (24) and HO-1 induction (12). Furthermore the up-regulation of HO-1 by IL-10 was demonstrated to be partly mediated by STAT3 (33). To investigate the functional role of STAT3 and HO-1 in BMDC maturation, we designed siRNA against STAT3 (siSTAT3) and HO-1 (siHO-1) and confirmed effective knockdown of protein expression by Western blot analysis. Compared with n.s. siRNA, pretreated BMDCs, siSTAT3 resulted in a strong reduction of STAT3 total protein after IL-10 treatment. Additionally we demonstrated that the IL-10-mediated HO-1 expression is attenuated in the absence of STAT3 (Fig. 2A). Because IL-10 is a strong activator of STAT3, we achieved a strong phosphorylation in BMDCs within 15 min following treatment. In immature BMDCs transfected with siSTAT3, IL-10-mediated STAT3 phosphorylation was diminished (Fig. 2B), thus demonstrating the efficiency of the applied siRNA. Correspondingly, siHO-1 pretreatment resulted in reduced protein levels after CoPPIX-mediated HO-1 induction (Fig. 2C).
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It has been reported that HO-1 induction after CoPPIX treatment of immature BMDCs is able to up-regulate and inhibit LPS-mediated DC maturation (12). To further evaluate this observation, we used BMDCs generated from HO-1–/– knockout and wild-type animals to examine the functional role of HO-1 in the BMDC maturation process by analyzing HO-1 protein expression after CoPPIX, SnPPIX, and IL-10 treatment. As expected, HO-1 was only induced in immature BMDCs from wild-type mice following 2 and 6 h of CoPPIX treatment, and HO-1 protein was further detected in wild-type BMDCs treated with SnPPIX or IL-10 induction (Fig. 2, D and E). To determine whether mature BMDCs lose their ability to express HO-1, we matured wild-type mouse-derived BMDCs with LPS treatment for 24 h and compared the HO-1 protein expression level to that of immature BMDCs. In contrast to previous observations (12), HO-1 expression is induced after LPS-dependent maturation and results were further confirmed at the mRNA level (Fig. 2F).
CoPPIX inhibits the maturation of HO-1–/– BMDCs
To further determine the involvement of HO-1 expression in the maturation process of BMDCs, we generated DCs from HO-1–/– and wild-type mice. Cells were also exposed to CoPPIX and SnPPIX and maturation was induced by LPS. In general, the results shown in Fig. 3 demonstrate similar expression patterns in BMDCs generated from HO-1–/– mice (Fig. 3A) and those generated from wild-type mice (Fig. 3B). The LPS-mediated induction of surface markers, including CD80/86, PDL-1, MHC class II, and cytokine genes including IL-10 and IL-12, was significantly diminished after CoPPIX treatment but was not altered by SnPPIX in both groups (Fig. 3). Pretreatment of BMDCs with CoPPIX or SnPPIX had no effect on TNF-
and IL-6 expression. The expression of IFN-
, which was induced as a consequence of LPS treatment, was significantly reduced with CoPPIX and SnPPIX in both wild-type and knockout mice (Fig. 3). Interestingly, in agreement with other reports we observed significantly increased levels of inflammatory cytokine genes, including IL-6, TNF-
, and IFN-
(p
0.05) in LPS-matured BMDCs derived from HO-1–/– mice compared with wild-type mice (25, 34, 35) (data not shown).
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Our cDNA microarray results illustrated an involvement of STAT3 following CoPPIX-mediated HO-1 induction. Therefore, we investigated whether there is a relationship between CoPPIX-induced inhibition of BMDC maturation by LPS and the transcription factor STAT3. CoPPIX pretreatment of immature DCs before LPS maturation led to a significant decrease of MHC class II and CD86 double-positive cells compared with DCs that remained untreated (10.7 ± 2.9% vs 22.8 ± 2.2%; p < 0.001, median ± mean deviation) (Fig. 4A and data not shown). However, specific knockdown using siSTAT3 significantly reversed the reduction of MHC class II and CD86 double-positive BMDCs (17.2 ± 1.4% vs 10.7 ± 2.9%, p < 0.001) (Fig. 4A and data not shown). To further confirm the functional involvement of STAT3 in inhibiting BMDC maturation, we used cucurbitacin I as a chemical inhibitor of STAT3 activation (36). Pretreatment of immature DCs with cucurbitacin I enhanced the maturation of BMDCs caused by LPS. Similar to the use of siRNA against STAT3, cucurbitacin I arrested the inhibitory effect of CoPPIX on LPS-induced BMDC maturation (33.3 ± 6.6% vs 37.6 ± 5.4%, p = 0.161) (Fig. 4A and data not shown). To verify whether HO-1 is responsible for the CoPPIX-mediated inhibition of LPS-induced DC maturation (12) we applied siHO-1. In contrast to previous observations, we did not observe any interference of CoPPIX-mediated inhibitory effects on LPS-induced BMDC maturation characterized by MHC class II and CD86 double-positive cells in DCs transfected with siHO-1 compared with the DCs transfected with n.s. siRNA (11.2 ± 3.2% vs 10.7 ± 2.9%, p = NS) (Fig. 4A and data not shown). Additionally we measured the mRNA expression of BMDC maturation markers, including PDL-1, CD80, and CD86, by real-time RT-PCR. The mRNA expression of CD80/86 and PDL-1 showed a reduction in CoPPIX-pretreated and LPS-matured BMDCs, and this effect was reversed by siSTAT3 (p = 0.026) and cucurbitacin I (p = 0.002) but was not influenced by siHO-1 (p = NS) (Fig. 4B). We further determined the secretion of cytokines, including MCP-1, IL-6, IL-10, IL-12, TNF-
, and IFN-
. The results gained with LPS-matured BMDCs demonstrated a clear reduction of IL-10 (p < 0.05), IL-12 (p < 0.05), MCP-1 (p < 0.05), and IFN-
after CoPPIX (p < 0.05) treatment compared with NaOH or SnPPIX treatment, whereas the secretion of IL-6 and TNF-
was not altered by CoPPIX. This inhibitory effect on cytokine secretion was significantly reversed by siSTAT3 (IL-10, p = 0.015; IL-12, p = 0.041; MCP-1, p = 0.009; IFN-
, p = 0.015) or inhibition of STAT3 (IL-10, p = 0.026; IL-12, p = 0.015; MCP-1, p = 0.004; IFN-
, p = 0.015) action. In contrast the use of siHO-1 did not affect the inhibitory effect on cytokine secretion (p = NS) (Fig. 5).
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Knowing the importance of STAT3 in mediating the inhibitory effect on LPS-induced DC maturation, we investigated the ability of CoPPIX or SnPPIX to modulate different signaling pathways, including the p38 MAPK, PI3K, STAT3, ERK, and JNK pathways. We analyzed activation profiles in the early phase after the treatment of immature BMDCs to ensure that activation was caused by CoPPIX alone and was not due to HO-1 activity. First we demonstrated a phosphorylation of STAT3 15 min after CoPPIX treatment on BMDCs. SnPPIX also had a weak activation effect on STAT3 (Fig. 7A). The PI3K pathway represented by Akt phosphorylation and the p38 MAPK pathway were not initiated by CoPPIX or SnPPIX (Fig. 7A). The same results were gained with BMDCs generated from HO-1–/– and wild-type mice (Fig. 7, B and C, and data not shown). In addition, we examined the phosphorylation status of ERK1/2 and JNK1/2/3 in HO-1–/– and wild-type BMDCs. Within the short incubation time period of up to 30 min we were not able to detect any phosphorylation for either pathway analyzed (data not shown). These data demonstrate an initiation of STAT3 signaling for both CoPPIX and SnPPIX with different intensities independent of HO-1 activity.
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| Discussion |
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following CoPPIX application was reversed by inhibiting STAT3 expression or activation through the application of siRNA or cucurbitacin I, a substance that inhibits STAT3 phosphorylation and promotes the activation of immature DCs (Figs. 4 and 5) (40). CoPPIX-mediated inhibition of LPS-induced DC maturation was not abolished using BMDCs derived from HO-1–/– mice, corroborating our findings that HO-1 activity is not the main mechanism of DC maturation (Fig. 3). Analysis of the phenotype of matured BMDCs derived from HO-1–/– and wild-type mice reveals a similar gene expression pattern for DC maturation-associated markers independent of HO-1 expression (Fig. 3).
Interestingly we were not able to observe a preservation of IL-10 in BMDCs pretreated with CoPPIX compared with previous observations in rat BMDCs and in human monocyte-derived DCs (12). In contrast, we observed a decrease in IL-10 production after 2 h and diminished levels of IL-10 mRNA expression after 6 h of CoPPIX pretreatment in LPS-matured BMDCs. Similar effects were reported from mixed lymphocyte reactions by Woo et al., where a decrease in lymphoproliferation and IL-10 and IFN-
production was detected as an effect of CoPPIX pretreatment (18). The observed discrepancies with previous reports concerning the preservation of IL-10 production or LPS-induced HO-1 induction in BMDCs might be attributable to species-specific differences (12, 13). However, the observation that LPS strongly induces HO-1 was made not only in murine but also in rat BMDCs (23).
Furthermore we analyzed the alloproliferation of BALB/c CD4+ T cells mixed with C57BL/6 x FVB HO-1–/– and wild-type-derived BMDCs. Consistent with the results from coculture experiments with BALB/c BMDCs and C57BL/6 CD4+ T cells, we observed a reduction of alloproliferation with CoPPIX, SnPPIX, and IL-10 compared with BMDCs pretreated with NaOH (Fig. 6). Surprisingly, although we could detect no inhibitory effect of SnPPIX on the phenotype of mature BMDCs, SnPPIX pretreatment of BMDCs seemed to have a greater inhibitory effect on CD4+ T cell proliferation compared with that of CoPPIX (Fig. 6A). Nevertheless, subtracting the spontaneous alloproliferation rate caused by pretreated immature BMDCs showed that CoPPIX pretreatment was still more effective than SnPPIX pretreatment. The different maximum alloproliferation rates obtained for coculture experiments, including those involving BALB/c-derived BMDCs and C57BL/6 CD4+ T cells (Fig. 6, A and B) and C57BL/6 x FVB HO-1–/– and wild-type-derived BMDCs and BALB/c CD4+ T cells (Fig. 6, C and D), can be explained by the different genetic backgrounds of the CD4+ T cells. It is well known that BALB/c mice produce Th type 2 responses and fail to promote cellular Th1 responses to infection (41). This biological attribute is manifested by a lower maximum alloproliferation rate in BALB/c CD4+ T cells when cocultured with C57BL/6 x FVB HO-1–/– and wild-type-derived BMDCs (Fig. 6, C and D). However, more evidence indicating that HO-1 is not involved in the process of LPS-induced BMDC maturation is provided by using SnPPIX as a competitive inhibitor of HO-1 (11). We demonstrated that SnPPIX itself shows inhibitory capacity (Fig. 6) and leads to enhanced HO-1 levels in LPS-matured BMDCs (Fig. 2F). The ability of CoPPIX-pretreated and LPS-matured DCs to inhibit allogeneic CD4+ T cell proliferation was abolished by cucurbitacin I (Fig. 6B). Interestingly, IL-10 pretreatment of LPS-matured BMDCs was very potent in inhibiting alloproliferation of CD4+ T cells independently of HO-1 expression (Fig. 6, C and D). Consistent with the findings of Ricchetti et al. (33), we demonstrated that the induction of HO-1 by IL-10 is in part mediated by STAT3 but, in contrast to other observations (42), the anti-inflammatory effect of IL-10 could not be attributed to HO-1 expression by using knockout mice.
The activation of STAT3 signaling with tumor-derived factors such as vascular-endothelial-growth-factor (VEGF) or IL-10 has been shown to negatively regulate DC maturation, whereas blocking of STAT3 abolished this inhibitory effect (43). Furthermore Corinti et al. demonstrated that, in contrast to mature DCs, immature DCs readily activate STAT3 upon IL-10 treatment, suggesting a mechanism by which IL-10 could limit LPS-mediated DC maturation (44). We observed an activation of STAT3 upon CoPPIX treatment of immature DCs that was more efficient than the activation achieved with SnPPIX treatment. Besides the PI3K pathway, the three major MAPK pathways p38, ERK, and JNK were not activated by CoPPIX, suggesting a central role for STAT3 in mediating the inhibitory effect of CoPPIX on LPS-induced BMDC maturation (Fig. 7). Moreover, activation of STAT3 seemed not to be dependent on the autocrine secretion of IL-10 or IL-6, as CoPPIX was still able to inhibit LPS-induced DC maturation in the presence of IL-10- and IL-6-neutralizing Abs (data not shown). Given that STAT3 is reported to be activated in cells by ROS (45, 46, 47), we hypothesize that the CoPPIX-mediated activation of STAT3 is due to the modulation of the redox state within the cell. Furthermore, a phosphorylation-independent homodimerization of STAT3 upon oxidative stress was demonstrated by Li and Shaw (48). CoPPIX has been shown to cause a decrease in LPS-induced ROS production in rat BMDCs (12), thus altering the cellular redox state. Although this effect has been ascribed to the antioxidative activity of HO-1, we speculate that CoPPIX mediates an alteration of the cellular redox state by inhibiting microsomal enzymes including cytochrome P-450 (49) and NADPH cytochrome P-450 reductase (50) independently of HO-1 induction. Inhibition of cytochrome P-450 reductase has been also reported for SnPPIX (51), which also might have an impact on STAT3 activation. Although not proven, this potential activation of STAT3 might explain the capacity of SnPPIX-pretreated BMDCs to inhibit T cell alloproliferation (Fig. 6).
The anti-inflammatory and cell-protective effects of HO-1 and its degradation products have been proven in many experimental models (15). Recently, Zhang et al. demonstrated the activation of STAT3 upon overexpression of HO-1 in murine lung endothelial cells (MLEC) (52). They also correlated protection against hyperoxia-induced cell death with the activation of STAT3, which confers MLEC protection via both HO-1-dependent and -independent mechanisms. The present study demonstrates that the inhibitory effects of CoPPIX on LPS-induced murine BMDC maturation is mediated by STAT3 and is independent of HO-1. Furthermore, our data show an elevation of HO-1 expression in LPS-induced mature BMDCs. Although induction of HO-1 in BMDCs by IL-10 was in part mediated by the expression of STAT3, we demonstrated that the anti-inflammatory effect of IL-10 did not require the expression of HO-1. These findings might lead to a better understanding of how CoPPIX in part mediates protection against I/R injury as reported in the literature (16, 17, 18, 19, 20, 21, 23). The identification of STAT3 as a downstream effector of CoPPIX provides a molecular target in DCs for the generation of Ag-specific immune tolerance, with profound implications for transplantation medicine.
| Acknowledgments |
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| Disclosures |
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| Footnotes |
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1 M.-F.M. is a recipient of the Charité Graduation grant and the GlaxoSmithKline travel grant. The study was supported by grant N301 08032/3156 from the Ministry of Science and Higher Education and by the European Vascular Genomics Network contract LSHM-CT 2003-503254 (to J.D.). A.J. is the International Senior Research Fellow of Wellcome Trust. ![]()
2 Address correspondence and reprint requests to Dr. Katja Kotsch, Institute of Medical Immunology, Charité Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, D-10117, Berlin, Germany. E-mail address: katja.kotsch{at}charite.de ![]()
3 Abbreviations used in this paper: DC, dendritic cell; BCL3, B cell lymphoma 3; BMDC, bone marrow-derived DC; CO, carbon monoxide; CoPPIX, cobalt-protoporphyrin IX; Ct, cycle threshold; HO-1 heme oxygenase 1; HPRT, hypoxanthine guanine phosphoribosyltransferase; I/R, ischemia reperfusion; MC, methylene chloride; n.s. nonsilencing; PDL-1, programmed death ligand 1; ROS, reactive oxygen species; SnPPIX, tin-protoporphyrin IX; siHO-1, siRNA against HO-1; siRNA, small interfering RNA; siSTAT3, siRNA against STAT3; SOCS3, suppressor of cytokine signaling 3. ![]()
Received for publication January 23, 2008. Accepted for publication April 14, 2008.
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