Invasive aspergillosis (IA) is a major threat to the successful outcome of hematopoietic stem cell transplantation (HSCT), although individual risk varies considerably. Recent evidence has established a pivotal role for a danger sensing mechanism implicating the S100B/receptor for advanced glycation end products (RAGE) axis in antifungal immunity. The association of selected genetic variants in the S100B/RAGE axis with susceptibility to IA was investigated in 223 consecutive patients undergoing HSCT. Furthermore, studies addressing the functional consequences of these variants were performed. Susceptibility to IA was significantly associated with two distinct polymorphisms in RAGE (-374T/A) and S100B (+427C/T) genes, the relative contribution of each depended on their presence in both transplantation counterparts [patient SNPRAGE, adjusted hazard ratio (HR), 1.97; P = 0.042 and donor SNPRAGE, HR, 2.03; P = 0.047] or in donors (SNPS100B, HR, 3.15; P = 7.8e-4) only, respectively. Functional assays demonstrated a gain-of-function phenotype of both variants, as shown by the enhanced expression of inflammatory cytokines in RAGE polymorphic cells and increased S100B secretion in vitro and in vivo in the presence of the S100B polymorphism. These findings point to a relevant role of the danger sensing signaling in human antifungal immunity and highlight a possible contribution of a genetically-determined hyperfunction of the S100B/RAGE axis to susceptibility to IA in the HSCT setting.
Citation: Cunha C, Giovannini G, Pierini A, Bell AS, Sorci G, Riuzzi F, et al. (2011) Genetically-Determined Hyperfunction of the S100B/RAGE Axis Is a Risk Factor for Aspergillosis in Stem Cell Transplant Recipients. PLoS ONE 6(11): e27962. doi:10.1371/journal.pone.0027962
Editor: Gustavo Henrique Goldman, Universidade de Sao Paulo, Brazil
Received: July 26, 2011; Accepted: October 28, 2011; Published: November 17, 2011
Copyright: © 2011 Cunha et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Specific Targeted Research Projects “ALLFUN” (FP7-HEALTH-2010-single-stage, contract number 260338) and “SYBARIS” (FP7-HEALTH-2009-single-stage contract number 037899), by the Fondazione per la Ricerca sulla Fibrosi Cistica (FFC#21/2010) and by the Fondazione Cassa di Risparmio di Perugia (2009.020.0021). CC and AC were financially supported by fellowships from Fundação para a Ciência e Tecnologia, Portugal (contracts SFRH/BD/65962/2009 and SFRH/BPD/46292/2008, respectively). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Invasive aspergillosis (IA) is a disease typically affecting high-risk patients such as that undergoing allogeneic hematopoietic stem cell transplantation (HSCT). Despite antifungal therapy, IA remains a leading cause of death among transplant recipients with a 1-year mortality reaching 75% –. Although displaying apparently similar “immunocompromised” phenotypes, not all HSCT recipients eventually develop disease, suggesting that genetically-determined immune defects may also play a role in defining susceptibility to IA . In effect, single nucleotide polymorphisms (SNPs) in TLR4 and DECTIN1 have been recently proposed as strong predictive factors for incidence of IA – or fungal colonization  following HSCT.
Pathogen recognition through pathogen-associated molecular patterns (PAMPs) and from reaction to tissue damage-associated molecular patterns (DAMPs) is critical in establishing inflammation and resistance to infection –. However, unrestrained inflammation may also hamper the normal eradication of infection . DAMPs such as high mobility group box 1 (HMGB1) and S100 proteins mediate inflammatory reactions through interaction with the multiligand receptor for advanced glycation end products (RAGE) –. Indeed, ligand-RAGE engagement has been highlighted as an amplifying mechanism of inflammation in immune/inflammatory diseases through a positive feedback loop between ligand availability and receptor expression .
Recently, a role for DAMP signaling has also been demonstrated in antifungal immunity . S100B, a Ca2+-binding protein of the EF-hand type , was found to be critical for the integration of pathogen- and danger-sensing pathways to restrain inflammation in Aspergillus fumigatus infection . However, when in excess, it adversely affected infection's outcome via the inflammatory RAGE pathway . Based on this experimental evidence, polymorphisms within regulatory elements or ligand binding sites may potentially orchestrate RAGE's functional activity as well as ligand accumulation, so that certain individuals may be predisposed to heightened inflammatory responses and failure to control infections. Indeed, the nonsynonymous G82S polymorphism has been found to promote glycosylation and increased ligand affinity, upregulating intracellular signaling pathways linked with modulation of proinflammatory genes –. A gain-of-function effect was also demonstrated for the -374T/A polymorphism, resulting in enhanced transcriptional activity by impairing the binding of regulatory elements to the gene promoter –. Elevated serum concentrations of S100B, associated with certain immuno-mediated diseases , have been linked with genetic variants in the S100B gene .
We investigated the association of functional polymorphisms in the S100B/RAGE axis with susceptibility to IA in 223 consecutive HSCT recipients. Mechanistically, functional studies are presented supporting a genetically-determined hyperfunction of the S100B/RAGE axis as an additional risk factor for the development of IA in HSCT patients.
To assess the role of the DAMP system in aspergillosis, we analyzed a cohort of 223 consecutive patients with hematological malignancies who underwent allogeneic T-cell-depleted HSCT in Perugia between 2003 and 2010, and respective donors. Patient characteristics included patient age and gender, relation donor-patient gender, underlying disease and stage, transplant matching, CMV serology of donors and patients, conditioning regimen, graft-versus-host disease (GVHD) and antifungal prophylaxis (Table 1). Grafts consisted of immunoselected CD34+ peripheral blood cells in all cases and transplantation procedures were performed as described . No GVHD prophylaxis or granulocyte colony-stimulating factor was administered after transplantation. Steroid therapy was performed in patients with diagnosed GVHD. Study approval was provided by the local ethics committee (Umbria Regional Hospital Ethics Committee, CEAS Umbria) and informed written consent was obtained from all participants in accordance with the Declaration of Helsinki.
Antifungal prophylaxis included liposomal amphotericin-B (1 mg/kg daily) in high-risk patients (n = 195; 87.4%) and fluconazole (400 mg daily) in standard risk patients (n = 28; 12.6%) from day −5 until neutropenia ended. Criteria defining standard and high risk for IA were applied as described . Surveillance cultures from stool, urine, nasal and oral washes were performed at the time of transplantation. Additionally, blood, sputum, bronchoalveolar lavages (BAL), serum galactomannan (Platelia Aspergillus EIA, Bio-Rad, Hercules, CA) and cultures of samples were analyzed when clinical symptoms of infection appeared. Probable/proven fungal infection was defined according to the revised standard criteria from the European Organization for Research and Treatment of Cancer/Mycology Study Group (EORTC/MSG) .
DNA isolation and SNP genotyping
Genomic DNA from patients and donors was isolated from whole blood before transplantation using the QIAamp DNA Blood Mini kit (Qiagen, Milan, Italy) according to manufacturer's instructions. The RAGE (rs2070600, −374T/A and rs1800624, G82S) and S100B (rs9722, +427C/T) polymorphisms were selected from a literature review and public databases based on three selection criteria: i) published evidence of association with human diseases –, ii) localization to the promoter, untranslated (UTR) or coding sequence, and (iii) minor allele frequencies higher than 5% in the Caucasian population. Genotyping was performed using bi-directional PCR amplification of specific alleles (Bi-PASA) as previously described , or using allele-specific PCR. Primer sequences are described in Table S1. Genotyping was validated by direct sequencing of at least 30 randomly selected DNA samples from either patients or donors for each polymorphism. Genotyping sets comprised randomly selected replicates of previously typed samples and two negative controls (water). Concordant genotyping was obtained for ≥99% assays.
In silico miRNA prediction
The +427C/T polymorphism within the 3′-UTR region of the S100B gene was analyzed in order to predict and compare alteration of potential microRNA targeting sites. Analysis was performed using the TargetScan version 4.0 (http://www.targetscan.org/) and microSNiPer (http://cbdb.nimh.nih.gov/microsniper) public databases. A minimum “seed” length of 7-mer was specified as minimum cut-off score.
Recombinant bovine S100B, 96% identical to human S100B, was expressed and purified as reported –. Purified S100B was passed through an END–X B15 Endotoxin Affinity Resin column (Associates of Cape Cod, Inc., East Falmouth, MA) to remove contaminating bacterial endotoxin. Endotoxin levels (<1.0 EU/mL) were verified by a standard assay using a Limulus amoebocyte lysate reagent test kit (Associates of Cape Cod, Inc.). S100B concentration was calculated using the molecular weight of the S100B dimer (21 kDa). Recombinant HMGB1 was a kind gift from Heikki Rauvala (University of Helsinki, Helsinki, Finland).
Cell preparation, cultures and treatments
In order to assess the functional consequences of the genetic variants in the S100B/RAGE axis, we resorted to human cells from individuals bearing distinct genotypes. Upon written informed consent, human peripheral blood mononuclear cells (PBMCs) from whole blood of healthy volunteers were isolated using sterile-filtered Histopaque®-1077 (Sigma-Aldrich, St. Louis, MO) according to manufacturer's instructions. Cells (2.5×106 cells/mL) were stimulated with S100B (4 nM and 4 µM), HMGB1 (300 nM), Zymosan (Zym, 10 µg/mL) or inactivated A. fumigatus conidia (1:1 ratio) for 2 hours before RNA extraction or 12 hours before supernatant collection and cell lysis. The nanomolar versus micromolar concentrations of S100B were selected based on their antagonizing effects in inflammation, as previously described . For each assay, cells from either wild-type (n = 10) or polymorphic (n = 10) individuals for the RAGE and S100B variants were used. Cells from the same individuals were used across conditions in each assay.
To assess potential genetically-determined differences in S100B levels in IA patients, we measured S100B concentrations in BAL samples from HSCT recipients. Sample collection was performed as per EORTC/MSG criteria  in line with the respective institutional procedures and standardized according to the guidelines proposed by the European Respiratory Society to measure acellular components . All patients were non-smokers without any other relevant associated disease (e.g. asthma) and were undergoing identical drug regimens. All BAL samples were obtained by the instillation of 150 ml of fluid and comparable recovery rate, therefore preventing errors associated with dilution and stored at -80°C until use.
Real–time RT-PCR analysis
Real–time RT–PCR was performed using the iCycler iQdetection system (Bio–Rad) and SYBR Green chemistry (Finnzymes Oy, Espoo, Finland). Total RNA was extracted using RNeasy Mini Kit (QIAGEN) and was reverse transcribed with Sensiscript Reverse Transcriptase (QIAGEN) according to manufacturer's instructions. PCR primers are described in Table S1. Amplification efficiencies were validated and normalized against β-actin (ACTB). The thermal profile for real-time RT-PCR was 95°C for 3 min, followed by 40 cycles of denaturation for 30 s at 95°C and an annealing/extension step of 30 sec at 60°C. Each data point was examined for integrity by analysis of the amplification plot. mRNA–normalized data were expressed as relative mRNA expression in stimulated cells compared to that of wild-type untreated cells.
Supernatants from PBMC cultures were collected after stimulation and BAL samples from patients with IA were obtained before initiation of treatment. ELISA for S100B was performed as follows: 50 µl of sample were incubated overnight on a microtiter plate previously coated with a monoclonal mouse anti-S100B antibody (Sigma-Aldrich). A rabbit anti-S100B antibody (EPOS) conjugated with peroxidase (Dako, Copenhagen, Denmark) was then added for 1 hour before the color reaction with SIGMAFAST™ OPD peroxidase substrate (Sigma-Aldrich) was measured at 492 nm. The standard S100B curve ranged from 0.2 to 40 ng/mL.
Blots of cell lysates were incubated with a goat polyclonal anti-RAGE IgG antibody (Santa Cruz Biotechnology, Santa Cruz, CA) followed by addition of horseradish peroxidase-conjugated anti-goat IgG secondary antibody (Cell Signaling Technology, Danvers, MA). Blots were developed with the Enhanced Chemiluminescence detection kit (Amersham Pharmacia Biotech, Milan, Italy). Control experiments included staining without the primary antibody.
Consistency of genotype frequencies with the Hardy–Weinberg equilibrium was tested using a χ2 test on a contingency table of observed vs. predicted genotype frequencies (P>0.05). Probability of IA was determined using the Gray's test and analyzed using the cumulative incidence method. Cumulative incidences were computed with the cmprsk package for R 2.10.1 software , with the competing events for IA being relapse and death. Overall survival was defined as the time from first day of treatment to death from any cause and was obtained by the Kaplan-Meier method and compared using the log-rank test. Clinical co-variables depicted in Table 1, as well as donor and patient genotype, were tested in univariate analyses. GVHD was considered in the univariate analysis as a time-dependent covariate for IA. Variables with a P value ≤0.15, namely transplant matching, GVHD and antifungal prophylaxis, were included in the multivariate model. Multivariate analysis was performed for each polymorphism separately using the subdistribution regression model of Fine and Gray with the cmprsk package for R 2.10.1 software . Functional data were analyzed by GraphPad Prism 4.03 program (GraphPad Software, San Diego, CA). Unpaired Student's t-test with Bonferroni's adjustment and 2-tailed Mann-Whitney rank-sum test were used to determine statistical significance (P<0.05).
Polymorphisms in the S100B/RAGE axis and risk of IA in HSCT recipients
The G82S polymorphism in RAGE was eventually excluded from the analyses given it displayed a minor allele frequency lower than 5% in our patient cohort (data not shown). Genotype frequencies of the remaining RAGE and S100B polymorphisms were comparable among patients, donors and healthy individuals (Table 2) and were not significantly different with regard to the underlying hematological disease (Table S2) or antifungal prophylaxis (Table S3). Among the 223 patients enrolled in our study, 41 (18%) developed proven/probable IA within a median time of 97 days (range, 1–390 days) following HSCT. Thirty-four (15%) patients with diagnosis of possible infection or with history of pretransplantation disease were excluded from further analyses. Ninety-five (43%) patients were long-term survivors following transplantation; median follow-up time among surviving patients was 45 months (range, 5 to 100) and among those who died was 7 months (range, 1 to 57). No statistically significant influence of RAGE or S100B polymorphisms on patient survival was found (data not shown).
To estimate the risk of IA according to patient or donor genotypes, we determined cumulative incidences of IA among transplant recipients at the date of the last documented case. RAGE -374T/A polymorphism increased susceptibility to IA when present in either patients [12.7% WTRAGE (wild-type, TT genotype) vs. 28.6% SNPRAGE (TA+AA genotypes); P = 0.008] or donors (15.6% WTRAGE vs. 27.7% SNPRAGE; P = 0.029) (Figure 1A). In contrast, S100B +427C/T polymorphism predisposed to IA when present in donors [17.2% WTS100B (wild-type, CC genotype) vs. 42.9% SNPS100B (CT+TT genotypes); P = 4e−4], but not in patients (22.7% WTS100B vs. 18.9% SNPS100B; P = 0.70) (Figure 1B).
(A) Cumulative incidence of IA according to RAGE -374T/A genotype (WTRAGE, TT; SNPRAGE, TA+AA). (B) Cumulative incidence of IA according to S100B +427C/T genotype (CC, WTS100B; CT+TT, SNPS100B). From left to right, patients (R) and donors (D).
In the multivariate analysis, all genetic associations remained significant, as well as the clinical co-variables HLA-haplotype mismatching and GVHD (Table 3). SNPRAGE genotypes in patients and donors independently resulted in a 2-fold increased risk of IA after HSCT, when compared to their wild-type counterparts. Instead, donor SNPS100B genotype promoted a 3-fold increased risk of IA compared to WTS100B donors. It is also interesting to note that the effects of these polymorphisms were restricted to IA. In fact, no other clinical outcomes assessed in our cohort such as relapse, transplant-related mortality or GVHD, as well as infectious outcomes, specifically cytomegalovirus (CMV) disease, were influenced by RAGE or S100B polymorphisms (Figure S1).
Functional consequences of RAGE and S100B polymorphisms
To determine whether RAGE expression was altered by the -374T/A polymorphism, we analyzed WTRAGE (TT genotype) and SNPRAGE (AA genotype) PBMCs isolated from healthy individuals. Cells were either left untreated or stimulated with A. fumigatus conidia, S100B or HMGB1. We found that PBMCs carrying the SNPRAGE genotype displayed an increased expression of RAGE compared to WTRAGE cells (Figure 2A). Stimulation with A. fumigatus conidia, S100B (particularly at the micromolar dose) and HMGB1 further amplified this effect (Figure 2B). The fact that RAGE expression was modulated in cells pulsed with the fungus confirms the important role of the RAGE pathway in antifungal immunity .
Analysis of RAGE expression in PBMCs from wild-type (WTRAGE, TT genotype) or mutant homozygous (SNPRAGE, AA genotype) individuals (A) untreated or (B) stimulated with A. fumigatus conidia (Af), S100B and HMGB1. In (A), a representative Western blot of RAGE in untreated WTRAGE and SNPRAGE PBMCs is shown. Tub, tubulin. (C) Cytokine gene expression in human PBMCs isolated from WTRAGE or SNPRAGE individuals. Data are shown as mRNA relative expression using untreated WTRAGE cells as reference (for every assay, shown is the mean±SD of data obtained for 10 individuals of each genotype; *P≤0.05 and **P≤0.01 by unpaired t-test). Cells from the same individuals were used across conditions in each assay.
We also investigated cytokine stimulation in treated WTRAGE and SNPRAGE PBMCs (Figure 2C). Cells isolated from SNPRAGE individuals showed increased expression of IL17A, and to a lesser extent, of IFNG, as well as decreased expression of IL4, in response to the micromolar concentration of S100B and to HMGB1 compared to WTRAGE cells. No significant differences between genotypes were observed for IL10, IL6 or TNF (Figure S2). Stimulation with A. fumigatus conidia did not trigger significant IL17A expression, a finding consistent with the fact that human anti-Aspergillus immunity relies more on Th1 than Th17 type of response , . Confirming the human in vitro data, a similar inflammatory pattern of cytokine expression was also observed in the lungs of mice infected with A. fumigatus and treated with the RAGE ligands (Figure S3; Methods S1).
To dissect possible molecular mechanisms underlying the effect of the +427C/T polymorphism in S100B and given its location in the gene, we examined possible consequences on the binding of regulatory miRNAs. As shown in Figure 3A, in silico analyses identified alterations in binding sites for miR-593 and miR-3675-3p in the 3′-untranslated sequence of S100B that depended on the presence of the polymorphism. Therefore, to investigate whether S100B expression and secretion was modulated by the +427C/T polymorphism, we analyzed PBMCs isolated from WTS100B (CC genotype) and SNPS100B (CT genotype) individuals. SNPS100B PBMCs displayed increased levels of S100B mRNA even in basal conditions when compared with WTS100B cells (Figures 3B). Stimulation of cells with A. fumigatus conidia or Zym, used as positive control (13), enhanced S100B gene induction as compared to the untreated conditions. Similar results were obtained measuring S100B levels in PBMC supernatants where S100B was found to be secreted in higher amounts by polymorphic PBMCs compared to WTS100B cells (Figure 3C). Furthermore, we collected BAL samples from 26 wild-type patients for S100B diagnosed with proven/probable IA, 13 of which had S100B polymorphic donors and the remaining, wild-type donors. As seen in Figure 4, the median concentration of S100B in BAL samples was significantly higher in patients with IA with a polymorphic donor for S100B than in those with a wild-type donor (3218 vs. 203 pg/mL; interquartile ranges, 1940–9187 and 10–1632 pg/mL, respectively; P = 0.016). Of interest, the levels of sRAGE in BAL samples were not significantly different among patients with distinct patient/donor RAGE genotypes (Figure S4; Methods S1).
(A) In silico search for miRNAs targeting S100B in the vicinity of the polymorphism. Putative binding sites for miR-593 in WTS100B and miR3675-3p in SNPS100B sequences are shown. Underlined sequences indicate ‘‘seed” sequences. (B) Analysis of S100B mRNA expression or (C) protein secretion in WTS100B (wild-type, CC genotype) or SNPS100B (CT genotype) PBMCs either left untreated or stimulated with A. fumigatus conidia (Af) and Zymosan (Zym). Data are shown as mRNA relative expression using untreated WTS100B cells as reference or as absolute quantity of S100B in culture supernatants (for every assay, shown is the mean±SD of data obtained for 10 individuals of each genotype; **P≤0.01 by unpaired t-test). Cells from the same individuals were used across conditions in each assay.
The immune system has evolved to respond not only to pathogens but also to signals released from damaged and dying cells. The DAMP/RAGE axis is central in danger signaling responses, promoting inflammation and alerting the immune system to the presence of damaging insults. However, sustained activation of danger signaling has been widely implicated in the pathogenesis of multiple diseases with an inflammatory/immune component . Accordingly, several polymorphisms in genes involved in the DAMP/RAGE axis have also been described to influence susceptibility to a number of inflammatory conditions , –.
In this study, we demonstrate that genetic variants in RAGE and S100B genes increase susceptibility to IA in HSCT recipients, a finding consistent with recent evidence pointing to a previously unsuspected role of S100B/RAGE-mediated mechanisms in host defense against A. fumigatus infection . The specific effect of each genetic variant was found to depend on either patient or donor (RAGE -374T/A) or exclusively on donor (S100B +427C/T) genetic make-up. This suggests that impairment of RAGE's activity in either patients or donors predisposes to IA, whereas the contribution of S100B-dependent mechanisms relies on its function in the hematopoietic compartment. The fact that these associations were restricted to IA highlights how A. fumigatus, more than CMV, is endowed with the ability to trigger danger sensing signaling in the lung, known to express high levels of RAGE under normal conditions .
The RAGE -374T/A polymorphism has been demonstrated to enhance transcriptional activity by restricting the binding of repressor elements to the gene promoter –. We found increased expression of RAGE in human polymorphic mononuclear cells. RAGE expression was further enhanced upon engagement by its cognate ligands, a finding consistent with the ability of agonists of membrane RAGE to up-regulate its own expression and activate a proinflammatory signaling cascade . Indeed, RAGE activation associated with enhanced expression of proinflammatory cytokines, such as IL-17A and IFN-γ, in human polymorphic cells. Results obtained in vivo confirmed that IL-17A was induced in the lungs of mice treated with high concentrations of S100B. Thus, proinflammatory cytokines, known to contribute to progression and severity of A. fumigatus infection , are activated upon sustained RAGE engagement in vivo. Indeed, increased fungal growth and lung inflammation were observed in infected mice treated with high concentrations of S100B . Of interest, the ability of A. fumigatus conidia to up-regulate RAGE expression suggests that the fungus itself may be able to induce sustained hyperactivation of the receptor promoting a feed-forward loop towards uncontrolled inflammation that may ultimately favor disease progression.
The +427C/T polymorphism in S100B has recently been described to underlie increased serum levels of the protein . Given the location of the polymorphism in the 3′-untranslated region of S100B, in silico prediction revealed changes in binding sites for the miR-593 and miR3675-3p in the vicinity of the S100B polymorphism. Although the functional role of the latter has not yet been defined, miR-593 has been demonstrated to decrease luciferase activity by degrading the mRNA of the reporter gene . Accordingly, we found enhanced expression and secretion of S100B by polymorphic PBMCs in which miR-593 binding is lost. Importantly, high concentrations of this danger molecule were found in BAL samples from HSCT recipients with IA receiving grafts from polymorphic, but not wild-type, donors. This finding, together with the lack of genetic association of the patient polymorphism with IA, indicates that the functional consequence of this polymorphism is contingent upon the hematopoietic compartment, likely myeloid dendritic cells , of the donor.
Soluble RAGE (sRAGE), an isoform of RAGE lacking transmembrane and cytosolic domains, acts as a decoy receptor for RAGE ligands in the extracellular compartment, and is believed to afford protection against inflammation and cell injury . Reportedly, sRAGE levels are reduced in patients with inflammatory diseases as compared with healthy subjects . However, the fact that no significant differences in the levels of sRAGE were observed among patients with distinct patient/donor RAGE genotypes suggests that neither the increased expression of RAGE nor of S100B was associated with decreased production and functional activity of sRAGE.
In summary, our findings highlight a previously undisclosed role for genetic variants in the S100B/RAGE axis as risk factors to IA in the HSCT setting. Thus, screening of patients for RAGE and S100B status before HSCT might be useful to a more risk-adapted, prophylactic approach and, whenever possible, for adequate donor selection. The significance of RAGE and S100B variants should nonetheless be interpreted with caution. Although associations were corrected for known important clinical factors, there are variables in transplanted patients that are difficult to account for. The type of transplant (T-cell depleted) and the size of the cohort may limit the clinical translation of the findings. Despite the fact that validation studies are still currently underway in additional patient cohorts and the mechanisms underlying the increased susceptibility to infection cannot be definitely pinpointed, a genetically-determined hyperfunction of the S100B/RAGE axis is probably involved. Moreover, within the cross-talk between RAGE and TLRs in inflammatory and immune responses with  and without infection –, it is conceivable that the role of DAMP signaling may go beyond the infection control to include important inflammatory post-transplant events. Furthermore, the finding that miRNAs could target DAMP genes in infection is of potential interest and warrants further investigation. Because expression of miRNAs is unbalanced in various pathological states and, importantly, they are abundantly present and easy detectable in body fluids , it is conceivable that miRNAs may serve as novel biomarkers for fungal diseases in HSCT.
Polymorphisms in the S100B/RAGE axis and risk of CMV disease in HSCT recipients. (A) Cumulative incidence of CMV disease according to RAGE-374T/A genotype (WTRAGE, TT; SNPRAGE, TA+AA). (B) Cumulative incidence of CMV disease according to S100B +427C/T genotype (WTS100B, CC; SNPS100B, CT+TT). From left to right, patients (R) and donors (D).
Cytokine gene expression in human PBMCs isolated from WTRAGE or SNPRAGE individuals. Data are shown as mRNA relative expression of IL10, IL6 and TNF using untreated WTRAGE cells as reference (mean±SD of 10 independent experiments; *P≤0.05 and **P≤0.01 by unpaired t-test).
Cytokine gene expression in the lungs of A. fumigatus-infected mice. C57BL/6 and Rage-/- mice were infected with A. fumigatus conidia intranasally and were either left untreated (-) or treated with S100B and HMGB1. mRNA levels of Il17a, Ifng, Il10 and Il4 were assessed at 3 days postinfection (n = 6−8 mice from each genotype, 3 independent experiments performed in duplicate; **P≤0.01 by ANOVA).
Soluble RAGE concentrations in BAL samples from patients with proven/probable IA according to donor and patient genotype (n = 5 for each category).
Primers used in this study.
Genotype distributions of RAGE and S100B polymorphisms in hematological patients undergoing HSCT and healthy controls.
Genotype distribution of RAGE and S100B polymorphisms according to antifungal prophylaxis.
Fungal strains, infections, and treatments. Female C57BL/6, 8 to 10 weeks old mice, were purchased from Charles River Laboratories (Calco, Italy). Homozygous Rage-/- mice were a kind gift from Angelika Bierhaus (Heidelberg, Germany). Mice were bred under specific pathogen-free conditions at the Animal Facility of Perugia University, Perugia, Italy and experiments were performed according to the Italian Approved Animal Welfare Assurance A–3143–01 and the legislative decree 157/2008-B regarding the animal license obtained by the Italian Ministry of Health (2008–2011). All efforts were made to minimize suffering. Viable conidia (> 95%) from the A. fumigatus Af293 strain were obtained by growth on Sabouraud dextrose agar (Difco Laboratories, Detroit) supplemented with chloramphenicol for 4 days at room temperature. Fungi were suspended in endotoxin-free (Detoxi-gel; Pierce Chemical, Rockford, IL, USA) solutions (<1.0 EU/mL, as determined by the Limulus amebocyte lysate method). For infection, mice were anesthetized by intraperitoneal injection (i.p.) of 2.5% avertin (Sigma-Aldrich Co) before instillation of a suspension of 2×107 conidia/20 µL saline intranasally. Mice were treated daily i.p. for 3 consecutive days starting the day of infection with 50 and 500 ng/Kg of purified S100B, 5 and 50 µg/Kg HMGB1 (Sigma-Aldrich Co), at the end of which total RNA was extracted from the lungs. ELISA for sRAGE. ELISA was performed using the human RAGE Quantikine assay (R&D Systems, MN, USA) according to the manufacturer's instructions. This assay measures the total pool of sRAGE which is generated either by splicing or cleavage (e.g. sRAGE or esRAGE).
Conceived and designed the experiments: CC GS RD F.Rodrigues AV FA LR AC. Performed the experiments: CC GG AB GS F.Riuzzi. Analyzed the data: CC GG AP LR AC. Contributed reagents/materials/analysis tools: GS RD AV FA LR. Wrote the paper: CC LR AC.
- 1. Kontoyiannis DP, Marr KA, Park BJ, Alexander BD, Anaissie EJ, et al. (2010) Prospective surveillance for invasive fungal infections in hematopoietic stem cell transplant recipients, 2001-2006: overview of the Transplant-Associated Infection Surveillance Network (TRANSNET) Database. Clin Infect Dis 50: 1091–1100.
- 2. Upton A, Kirby KA, Carpenter P, Boeckh M, Marr KA (2007) Invasive aspergillosis following hematopoietic cell transplantation: outcomes and prognostic factors associated with mortality. Clin Infect Dis 44: 531–540.
- 3. Cunha C, Rodrigues F, Zelante T, Aversa F, Romani L, et al. (2011) Genetic susceptibility to aspergillosis in allogeneic stem-cell transplantation. Med Mycol 49: Suppl 1S137–143.
- 4. Bochud PY, Chien JW, Marr KA, Leisenring WM, Upton A, et al. (2008) Toll-like receptor 4 polymorphisms and aspergillosis in stem-cell transplantation. N Engl J Med 359: 1766–1777.
- 5. Cunha C, Di Ianni M, Bozza S, Giovannini G, Zagarella S, et al. (2010) Dectin-1 Y238X polymorphism associates with susceptibility to invasive aspergillosis in hematopoietic transplantation through impairment of both recipient- and donor-dependent mechanisms of antifungal immunity. Blood 116: 5394–5402.
- 6. Carvalho A, Cunha C, Carotti A, Aloisi T, Guarrera O, et al. (2009) Polymorphisms in Toll-like receptor genes and susceptibility to infections in allogeneic stem cell transplantation. Exp Hematol 37: 1022–1029.
- 7. Akira S, Uematsu S, Takeuchi O (2006) Pathogen recognition and innate immunity. Cell 124: 783–801.
- 8. Gallucci S, Matzinger P (2001) Danger signals: SOS to the immune system. Curr Opin Immunol 13: 114–119.
- 9. Romani L, Fallarino F, De Luca A, Montagnoli C, D′Angelo C, et al. (2008) Defective tryptophan catabolism underlies inflammation in mouse chronic granulomatous disease. Nature 451: 211–215.
- 10. Donato R (2007) RAGE: a single receptor for several ligands and different cellular responses: the case of certain S100 proteins. Curr Mol Med 7: 711–724.
- 11. Schmidt AM, Yan SD, Yan SF, Stern DM (2001) The multiligand receptor RAGE as a progression factor amplifying immune and inflammatory responses. J Clin Invest 108: 949–955.
- 12. Sorci G, Riuzzi F, Arcuri C, Giambanco I, Donato R (2004) Amphoterin stimulates myogenesis and counteracts the antimyogenic factors basic fibroblast growth factor and S100B via RAGE binding. Mol Cell Biol 24: 4880–4894.
- 13. Sparvero LJ, Asafu-Adjei D, Kang R, Tang D, Amin N, et al. (2009) RAGE (Receptor for Advanced Glycation Endproducts), RAGE ligands, and their role in cancer and inflammation. J Transl Med 7: 17.
- 14. Alexiou P, Chatzopoulou M, Pegklidou K, Demopoulos VJ (2010) RAGE: a multi-ligand receptor unveiling novel insights in health and disease. Curr Med Chem 17: 2232–2252.
- 15. Sorci G, Giovannini G, Riuzzi F, Bonifazi P, Zelante T, et al. (2011) The Danger Signal S100B Integrates Pathogen- and Danger-Sensing Pathways to Restrain Inflammation. PLoS Pathog 7: e1001315.
- 16. Donato R, Sorci G, Riuzzi F, Arcuri C, Bianchi R, et al. (2009) S100B′s double life: intracellular regulator and extracellular signal. Biochim Biophys Acta 1793: 1008–1022.
- 17. Park SJ, Kleffmann T, Hessian PA (2011) The G82S polymorphism promotes glycosylation of the receptor for advanced glycation end products (RAGE) at Asn81: A comparison of wild-type RAGE with the G82S polymorphic variant. J Biol Chem.
- 18. Hofmann MA, Drury S, Hudson BI, Gleason MR, Qu W, et al. (2002) RAGE and arthritis: the G82S polymorphism amplifies the inflammatory response. Genes Immun 3: 123–135.
- 19. Hudson BI, Stickland MH, Futers TS, Grant PJ (2001) Effects of novel polymorphisms in the RAGE gene on transcriptional regulation and their association with diabetic retinopathy. Diabetes 50: 1505–1511.
- 20. Li J, Schmidt AM (1997) Characterization and functional analysis of the promoter of RAGE, the receptor for advanced glycation end products. J Biol Chem 272: 16498–16506.
- 21. Hohoff C, Ponath G, Freitag CM, Kastner F, Krakowitzky P, et al. (2010) Risk variants in the S100B gene predict elevated S100B serum concentrations in healthy individuals. Am J Med Genet B Neuropsychiatr Genet 153B: 291–297.
- 22. Aversa F, Tabilio A, Velardi A, Cunningham I, Terenzi A, et al. (1998) Treatment of high-risk acute leukemia with T-cell-depleted stem cells from related donors with one fully mismatched HLA haplotype. N Engl J Med 339: 1186–1193.
- 23. Girmenia C, Barosi G, Aversa F, Bacigalupo A, Barbui T, et al. (2009) Prophylaxis and treatment of invasive fungal diseases in allogeneic stem cell transplantation: results of a consensus process by Gruppo Italiano Trapianto di Midollo Osseo (GITMO). Clin Infect Dis 49: 1226–1236.
- 24. De Pauw B, Walsh TJ, Donnelly JP, Stevens DA, Edwards JE, et al. (2008) Revised definitions of invasive fungal disease from the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC/MSG) Consensus Group. Clin Infect Dis 46: 1813–1821.
- 25. Carvalho A, Marques A, Maciel P, Rodrigues F (2007) Study of disease-relevant polymorphisms in the TLR4 and TLR9 genes: a novel method applied to the analysis of the Portuguese population. Mol Cell Probes 21: 316–320.
- 26. Donato R (2003) Intracellular and extracellular roles of S100 proteins. Microsc Res Tech 60: 540–551.
- 27. Huttunen HJ, Kuja-Panula J, Sorci G, Agneletti AL, Donato R, et al. (2000) Coregulation of neurite outgrowth and cell survival by amphoterin and S100 proteins through receptor for advanced glycation end products (RAGE) activation. J Biol Chem 275: 40096–40105.
- 28. Haslam PL, Baughman RP (1999) Report of ERS Task Force: guidelines for measurement of acellular components and standardization of BAL. Eur Respir J 14: 245–248.
- 29. Scrucca L, Santucci A, Aversa F (2007) Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplant 40: 381–387.
- 30. Scrucca L, Santucci A, Aversa F (2010) Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant 45: 1388–1395.
- 31. Chai LY, van de Veerdonk F, Marijnissen RJ, Cheng SC, Khoo AL, et al. (2010) Anti-Aspergillus human host defence relies on type 1 T helper (Th1), rather than type 17 T helper (Th17), cellular immunity. Immunology 130: 46–54.
- 32. Li K, Zhao B, Dai D, Yao S, Liang W, et al. (2011) A functional p.82G>S polymorphism in the RAGE gene is associated with multiple sclerosis in the Chinese population. Mult Scler.
- 33. Dabritz J, Friedrichs F, Weinhage T, Hampe J, Kucharzik T, et al. (2011) The functional -374T/A polymorphism of the receptor for advanced glycation end products may modulate Crohn′s disease. Am J Physiol Gastrointest Liver Physiol 300: G823–832.
- 34. Daborg J, von Otter M, Sjolander A, Nilsson S, Minthon L, et al. (2010) Association of the RAGE G82S polymorphism with Alzheimer′s disease. J Neural Transm 117: 861–867.
- 35. Gu H, Yang L, Sun Q, Zhou B, Tang N, et al. (2008) Gly82Ser polymorphism of the receptor for advanced glycation end products is associated with an increased risk of gastric cancer in a Chinese population. Clin Cancer Res 14: 3627–3632.
- 36. Gaens KH, van Der Kallen CJ, van Greevenbroek MM, Feskens EJ, Stehouwer CD, et al. (2008) Receptor for advanced glycation end product polymorphisms and type 2 diabetes: the CODAM study. Ann N Y Acad Sci 1126: 162–165.
- 37. Brett J, Schmidt AM, Yan SD, Zou YS, Weidman E, et al. (1993) Survey of the distribution of a newly characterized receptor for advanced glycation end products in tissues. Am J Pathol 143: 1699–1712.
- 38. Zelante T, De Luca A, Bonifazi P, Montagnoli C, Bozza S, et al. (2007) IL-23 and the Th17 pathway promote inflammation and impair antifungal immune resistance. Eur J Immunol 37: 2695–2706.
- 39. Ito T, Sato F, Kan T, Cheng Y, David S, et al. (2010) Polo-like kinase 1 regulates cell proliferation and is targeted by miR-593* in esophageal cancer. Int J Cancer.
- 40. Morbini P, Villa C, Campo I, Zorzetto M, Inghilleri S, et al. (2006) The receptor for advanced glycation end products and its ligands: a new inflammatory pathway in lung disease? Mod Pathol 19: 1437–1445.
- 41. Yan SF, Ramasamy R, Schmidt AM (2010) Soluble RAGE: therapy and biomarker in unraveling the RAGE axis in chronic disease and aging. Biochem Pharmacol 79: 1379–1386.
- 42. Vazzana N, Santilli F, Cuccurullo C, Davi G (2009) Soluble forms of RAGE in internal medicine. Intern Emerg Med 4: 389–401.
- 43. Tian J, Avalos AM, Mao SY, Chen B, Senthil K, et al. (2007) Toll-like receptor 9-dependent activation by DNA-containing immune complexes is mediated by HMGB1 and RAGE. Nat Immunol 8: 487–496.
- 44. Yanai H, Ban T, Wang Z, Choi MK, Kawamura T, et al. (2009) HMGB proteins function as universal sentinels for nucleic-acid-mediated innate immune responses. Nature 462: 99–103.
- 45. Ciesla M, Skrzypek K, Kozakowska M, Loboda A, Jozkowicz A, et al. (2011) MicroRNAs as biomarkers of disease onset. Anal Bioanal Chem.