Parameters predicting the evolution of leptospirosis would be useful for clinicians, as well as to better understand severe leptospirosis, but are scarce and rarely validated. Because severe leptospirosis includes septic shock, similarities with predictors evidenced for sepsis and septic shock were studied in a hamster model.
Using an LD50 model of leptospirosis in hamsters, we first determined that 3 days post-infection was a time-point that allowed studying the regulation of immune gene expression and represented the onset of the clinical signs of the disease. In the absence of tools to assess serum concentrations of immune effectors in hamsters, we determined mRNA levels of various immune genes, especially cytokines, together with leptospiraemia at this particular time-point. We found differential expression of both pro- and anti-inflammatory mediators, with significantly higher expression levels of tumor necrosis factor α, interleukin 1α, cyclo-oxygenase 2 and interleukin 10 genes in nonsurvivors compared to survivors. Higher leptospiraemia was also observed in nonsurvivors. Lastly, we demonstrated the relevance of these results by comparing their respective expression levels using a LD100 model or an isogenic high-passage nonvirulent variant.
Up-regulated gene expression of both pro- and anti-inflammatory immune effectors in hamsters with fatal outcome in an LD50 model of leptospirosis, together with a higher Leptospira burden, suggest that these gene expression levels could be predictors of adverse outcome in leptospirosis.
Leptospirosis is a widespread bacterial infection that is transmitted by soil or water contaminated by the urine of infected animals, or directly from these animals. It has highly diverse clinical presentations, making its differential diagnosis difficult. Though most cases are minor and self-resolving, there are also severe forms that include a sepsis pattern and multiple organ failure, and have possible fatal outcomes. Predictors of disease evolution and outcome are scarce, yet they would be very valuable to clinicians as well as to better decipher disease pathogenesis. In this study, we used a hamster model of leptospirosis to evaluate if immune genes were differentially expressed between individuals and if their expression levels could help forecast the outcome of the disease. We found that hamsters that later died from leptospirosis had significantly higher expression levels of both pro- and anti-inflammatory mediators compared to survivors. These results suggest that expression levels of these immune effectors might be helpful predictors of outcome in leptospirosis and that septic shock contributes to fatal leptospirosis.
Citation: Vernel-Pauillac F, Goarant C (2010) Differential Cytokine Gene Expression According to Outcome in a Hamster Model of Leptospirosis. PLoS Negl Trop Dis 4(1): e582. https://doi.org/10.1371/journal.pntd.0000582
Editor: Sheila Lukehart, University of Washington, United States of America
Received: August 10, 2009; Accepted: December 1, 2009; Published: January 12, 2010
Copyright: © 2010 Vernel-Pauillac, Goarant. 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 study was funded by Direction des Affaires Internationales de l'Institut Pasteur and the French Ministry of Research. 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.
Leptospirosis is the most widespread zoonosis occurring worldwide with possible fatal outcomes . Though most often an endemic disease, epidemics have been associated with particular meteorological events – or clusters of cases related to occupations or leisure activities –. It is notably highly prevalent in tropical areas, but some of the clusters of cases have been reported in temperate countries ,. Its clinical presentation is highly variable and is often initially suggestive of influenza, malaria or dengue fever, making the differential diagnosis more hazardous in tropical countries, during dengue or influenza epidemics, or in areas of high malaria incidence . However, because of a relatively high fatality rate in leptospirosis, increased medical care must be provided to some of the patients suffering leptospirosis. Validated prognostic factors to help forecast the evolution of a leptospirosis are scarce. Yet, they would be valuable for clinicians to decide whether their patients should only be treated with antibiotics, kept at the hospital in a standard unit or directed to an intensive care unit. Few data have been published addressing this question; furthermore, contrasting observations were obtained ,.
Severe leptospirosis manifestations include acute renal failure, caused by acute interstitial nephritis and pulmonary haemorrhage. Spirochete invasion and toxicity of outer membrane components cause robust inflammatory host responses  leading to clinical manifestations reflecting a sepsis syndrome. This latter condition has been characterized as a dysregulation of the inflammatory response, including a massive release of pro-inflammatory cytokines that induces multiple organ dysfunctions. Concomitantly, compensatory mechanisms, mostly regulatory cytokine-mediated (although having protective effects to prevent overwhelming inflammation) may become deleterious and have been associated with an immune paralysis and poor outcome ,.
Cytokines are potent, pleiotropic, non-antigen-binding polypeptides secreted by cells of the immune system and are responsible for cell activation, differentiation and proliferation after they act on their target cells via specific receptors primarily through autocrine and paracrine stimulation. Their expression levels are largely studied in the context of septic shock and severe sepsis both for their possible prognosis value , –, as well as for a better understanding of sepsis physio-pathology –. Because of high similarities in clinical presentation of septic shock and severe leptospirosis, we hypothesized that strong similarities in immune gene expression between severe sepsis and severe leptospirosis could help predict the evolution of leptospirosis towards multiple organ failure or recovery.
Tumor Necrosis Factor α (TNFα) is a cytokine involved in early systemic inflammation that stimulates the acute phase reaction, in synergy with interleukin -1 (IL-1) and interleukin-6 (IL-6) . Elevated plasma concentrations of TNFα have been associated with poor prognosis in sepsis, but also in patients with leptospirosis . IL-6, one of the most important pro-inflammatory mediators of the acute phase response to pathogens, has been suggested to be a downstream mediator of TNFα and IL-1. However, it also regulates anti-inflammatory effectors by controlling the level of pro-inflammatory cytokines. Many studies were conducted to evaluate the value of circulating IL-6 concentrations as indicators of clinical outcome in patients with severe sepsis, correlating high levels with fatal outcomes. Interferon-γ (IFN-γ) is a pluripotent pro-inflammatory cytokine . Its production was shown as dependent on IL-12p40 in human blood stimulated by L. interrogans  notably inhibiting Th2 cell activity. Cox-2, one of the two forms of cyclooxygenase (COX), is highly induced and rapidly produced in macrophages and endothelial cells in response to proinflammatory cytokines and may be responsible for the oedema and vasodilatation associated with inflammation. It is recognized that inflammatory mediators such as COX-2 but also nitric oxide, a derived product of inducible nitric-oxide synthase (iNOS), are responsible for the symptoms of many inflammatory diseases ,. Increased level of nitric oxide have notably been evidenced in the sera of patients with severe leptospirosis .
Anti-inflammatory effectors play an important role to counter-regulate the effects of pro-inflammatory cytokines. Interleukin-10 (IL-10) is classically described as an anti-inflammatory cytokine with pleiotropic effects in immunoregulation and inflammation by down-regulating the expression of Th1 cytokines . An early imbalance of IL-10 in sepsis was shown to be associated with death despite TNFα production. . Transforming Growth Factor β (TGF-β) is believed to be important in the regulation of the immune system by regulatory T cells; it notably acts by blocking the activation of lymphocyte- and monocyte-derived phagocytes and by controlling iNOS expression . Together with IL-10, TGFβ is considered as contributing to the immunosuppression observed in septic shock ,.
The hamster is considered as the most valuable animal model for human leptospirosis ,. This animal model is notably used to maintain virulence of Leptospira strains or isolates. It was also used in studies aiming at better deciphering the virulence and pathogenesis mechanisms or the host immune response to leptospirosis or to vaccine candidates –. Using this animal model, our group  notably demonstrated in vivo the expression of Th1 cytokines during acute leptospirosis.
The aim of our study was, using a LD50 model of leptospirosis in hamsters, to evaluate gene expression levels in individual animals. Additionally, the Leptospira burden in blood was also assessed because it was shown to have a prognostic value . The immune gene expression levels and Leptospira burdens were compared according to the spontaneous outcome of the leptospirosis. Differential expression levels were observed that related to the outcome of the infection.
Leptospira strain and cultivation
The virulent Leptospira interrogans serovar Icterohaemorrhagiae strain Verdun, was obtained from the Reference Collection of the Institut Pasteur in Paris, France. Virulence was maintained by passages in Syrian golden hamsters (Mesocricetus auratus) and was regularly tested by lethal injection of 2×108 leptospires intraperitoneally. An avirulent variant corresponding to an isogenic clone of this strain was derived from the virulent strain by in vitro high-passage.
Leptospires were cultivated in liquid EMJH (Ellinghausen McCullough Johnson and Harris) medium at 30°C under aerobic conditions . The bacterial cell density of the cultures was assessed in a Petroff-Hausser counting chamber.
Specific pathogen-free animals which parents were initially purchased from Charles River Laboratories (Charles River Wiga GmbH, Sulzfeld, Germany) were bred at the Institut Pasteur of New Caledonia. All in vivo studies were carried out using five- to six-week-old outbred golden hamsters handled in individual cages. During preliminary experiments, we infected hamsters by intraperitoneal injection of various doses of live virulent Leptospira ranging from 2×107 to 2×108 per hamster. Hamsters were checked four times a day to evaluate the appearance of clinical signs, deep unconsciousness or recovery. Deeply unconscious animals that did not react to a tactile stimulus were considered dead and euthanized. Additional preliminary experiments included the determination of the time course of gene expression by sampling three individual infected hamsters at 0, 4, 8, 14 hrs then day 1 (D1), D2, D3, and D4 post-infection to determine the most relevant time point allowing to evaluate the expression level of as many relevant genes as possible for future experiments. Each LD50 experimental set was composed of six- to eighteen animals intraperitoneally infected with 108 leptospires of a virulent culture in EMJH medium, and three or four negative controls injected with sterile EMJH medium. The study was made up of three independent experiments. Whole blood (400 µl) was collected on PAXgene blood RNA tubes (PreAnalytiX, Qiagen, Australia) by cardiac puncture under non lethal gas anaesthesia  on D3 after infection. Clinical symptoms and/or death were monitored four times daily for 21 days. Surviving animals at D21 were considered as spontaneously recovering. Negative controls and surviving animals were euthanized at D21. In order to evaluate the effect of the infective dose on the gene expression patterns, we used two other experimental infection models. We first injected five hamsters with a LD100 of the same virulent Leptospira, with 2×108 leptospires injected per hamster using the same intraperitoneal route. Secondly, we injected hamsters with a similarly high dose (2×108 leptospires per hamster) of the high-passage isogenic Leptospira variant, known not to induce any mortality. Control animals were similar to the LD50 experiments and were injected with an equal volume of sterile EMJH. Protocols for animal experiments were prepared and conducted according to the guidelines of the Animal Care and Use Committees of the Institut Pasteur and followed European Recommendation 2007/526/EC that provides “guidelines for the accommodation and care of animals used for experimental and other scientific purposes”. The protocol was validated before the start of the experiments by a scientific committee and an animal care committee of the Institute Pasteur in New Caledonia.
Total RNA isolation and cDNA synthesis
Total RNA was isolated from whole blood not later than 24 hours post-collection using the PAXgene Blood RNA system (PreAnalytiX) according to manufacturer's instructions, then immediately frozen at −80°C until use. DNase-treated RNAs were used to synthesize cDNA with the Transcriptor First Strand cDNA Synthesis Kit using random hexamers as specified by the manufacturer (Roche Applied Science). To minimize variation in the reverse transcription reaction, all RNA samples from a single experimental setup were reverse transcribed simultaneously and in duplicate.
Primers and standard curves
The sequences of all primers used in this study are listed in table 1. They were designed with the LightCycler Primer Probe Design Software 2.0 (Roche Applied Science), selected according to intron spanning and GC%, and synthesized by Proligo Singapore Pte Ltd (Biopolis way, Singapore).
External standard curves either for household or effector genes consisted of serial dilutions of specific purified DNA ranging from 107 to 1 copies as described previously . The copy number of each standard was calculated by standard methods using the Avogadro constant and the size of the amplified target as described . Each standard curve was validated using established criteria (specific melting temperature, size of the PCR product, a mean error ≤0.03 and a slope near −3.3).
Real-Time PCR amplification
PCR amplifications and analysis were achieved using a LightCycler 2.0 instrument (Roche Applied Science) with software version 4.05. All reactions were performed in duplicates with the LightCycler FastStart DNA Master SYBR Green I kit (Roche Applied Science) in a final 20 µl volume with 4 mM MgCl2, 0.5 µM of each primer and 2 µL cDNA or 2 µL DNA standard dilution. Cycle conditions were optimized for each target, either immune mediator or β-actin. Amplification conditions consisted of an initial pre-incubation at 95° for 10 min (polymerase activation) followed by amplification of the target cDNA for 45 cycles (95°C for 8 s, 60°C for 5 s and a variable extension time at 72°C). Extension periods varied for each PCR depending on the length of the expected amplicon (∼1 s/25 bp) as shown in table 1.
Leptospiraemia was also determined after cDNA amplification with a PCR specific of a 331 bp sequence of the L. interrogans rrs (16S) gene  using a LightCycler 480 II instrument with software version 1.5.0. Amplification reactions were performed in duplicates with the LightCycler 480 SYBR Green I Master kit in a final 10 µL volume with 0.5 µM of each primer, 1 µL cDNA as follow: a 10 min enzyme activation at 95°C then 50 amplification cycles, each made of 8 s at 95°C, 5 s at 62°C and 12 s at 72°C. A negative control with PCR-grade water instead of cDNA was included in each run. With either instrument, melting peaks were automatically plotted by the software and used to assess the specificity of the amplified product.
Results expression and statistical analysis
Absolute quantification of each target was done using the comparative cycle threshold (CT) method: the concentration of a given target mRNA in any unknown sample was calculated by comparing its CT with the corresponding standard curve. Relative expression was calculated as the ratio of the target mRNA copy number to β-actin mRNA copy number. This ratio was then normalized using the same ratio calculated in uninfected controls (used as calibrators). This expression of the results allows directly providing an n-fold change ratio in gene expression of the experimental animals compared to their control counterparts. In this study, β−actin was used as the household reference gene since former work demonstrated that no significant difference was observed using either HPRT or β−actin .
The outcomes were defined as the spontaneous outcome of the infection and were either death (“nonsurvivors”) or spontaneous recovery (“survivors”). The results of three independent LD50 experiments were pooled and compared according to the outcome using Student's t test and Kruskal-Wallis test on Stata SE/8.0 for Windows (Stata Corporation, Texas, USA). The overall survival curve for all LD50 experiments was also plotted with 95% confidence intervals using Stata SE/8.0.
Preliminary and experimental infections results
Preliminary experiments demonstrated that a dose of 108 live virulent leptospires per hamster injected by the intra-peritoneal route led to ca. 50% mortality, a dose therefore used for our LD50 experiments. The first signs of illness (prostration and anorexia) were observed at day 3 post-infection. This dose was confirmed in further experiments as being a relevant and reproducible model of LD50 (figure 1A). The relative normalized gene expression levels at various time points are summarized in figure 1B. After a rapid and intense rise to its maximum, TNFα expression rapidly decreased before to slowly and regularly increase again up to D3. A similar pattern was observed for IL-1 and IL-6 with much a higher amplitude of regulation. After no significant modulation during the first 14 hrs post-infection, IL-10 and COX-2 were expressed at a maximum level around D3 after a steady increase notably for IL-10. IFNγ expression levels were poorly modulated along this time-course. However its maximum expression level became relatively stable around D3. Reproducible results were obtained for all these effectors with RNA extracted from 400 µL whole blood, except IL-2 and IL-4, because of their low mRNA copy numbers. Additionally, the peak of IL-12p40 gene expression was observed very early at 4 hours post-infection. Therefore these 3 latter effectors (IL-2, IL-4 and IL12p40) were not analysed in further studies.
A. Time course of mortalities in the LD50 infection model (n = 70, green line) and in the animals sampled for the gene expression studies (n = 36, blue line). B. Relative normalized gene expression levels (see text) time courses (y-axes use different scales for different gene targets).
Taken together, these results led to determine D3 as a relevant time point for future studies, a consensus when most of the relevant effectors could be efficiently monitored and the appearance of the first clinical signs before any mortality occurs.
In the LD100 experiment, all 5 infected hamsters died at D5. As expected, all hamsters infected with a similarly high dose (2×108 per hamster) of the high-passage isogenic variant survived until D21 and were euthanized.
Leptospira burdens and expression levels of some immune genes are different according to the outcome
In total, 36 infected hamsters were included from our three independent LD50 infection challenges. Twenty two of them died at 6.1 (range 4.04–6.92) days post-infection (nonsurvivors), whereas 14 were considered as spontaneously recovering being alive at D21 (survivors). Gene expression levels evidenced that the pro-inflammatory cytokines IL-1α and TNFα but also the enzyme Cyclooxygenase-2 and the cytokine IL-10 were expressed at significantly higher levels (p<0.01, see table 2) in nonsurvivors when compared to survivors (Figure 2A).
Expression levels are shown at day 3 post-infection in the LD50 Leptospira infection (according to the outcome) and after the injection of a high dose of a virulent or the high-passage variant (A) and Leptospira burdens (B) in infected hamsters. Error bars indicate 95% confidence intervals.
Considering the basic criterion that a 2-fold change in transcript abundance represents differential expression ,, the gene expression levels in survivors were not significantly different from controls (i.e. relative normalized gene expression levels in the range 0.5–2, see table 2).
As expected, the live Leptospira burdens, as evaluated by the ratio of Leptospira 16S rRNA to hamster β-actin, were nil in controls and were also significantly (p<0.01, see table 2) lower in spontaneously recovering survivors (figure 2B).
Some genes are not much modulated 3 days after Leptospira LD50 infection
Contrastingly, the expression of the cytokines IFNγ and TGFβ appeared poorly modulated, their expression levels in infected animals being not significantly different from that in control animals (ratio not different from 1). Additionally, no difference in expression levels was observed between survivors and nonsurvivors after the Leptospira LD50 challenge (table 2 and figure 3). Though IL-6 is notably induced as a response to the LD50 infectious challenge (i.e. ratio significantly higher than 1.0), similar levels (p>0.1, see table 2) were observed in hamsters whatever the outcome of the LD50 infection. However and interestingly, two out of our three independent experiments, higher IL-6 expression levels were observed in nonsurvivors in two out of our 3 independent experiments and a very high expression level in a few survivors accounted for the similar average expression (see figure 3 insert).
Comparisons with LD100 and a similarly high dose of an avirulent variant
Hamsters infected with a high (LD100) dose of virulent Leptospira displayed a gene expression pattern very similar to the one observed in nonsurvivors after the LD50 infection challenge. They displayed a similarly increased gene expression of IL-1α, TNFα and Cox-2 and a very similar Leptospira burden (figure 2). Their mean IL10 gene expression level was higher than in nonsurvivors after the LD50 challenge but this difference was not significant, due to high inter-individual variability. IFNγ and TGFβ expression levels were very poorly modulated, again not significantly different from uninfected controls (figure 3). Similar to IL-10, IL-6 gene expression was largely increased compared to animals infected with a lower dose but a high inter-individual variability was also noted.
In hamsters infected with a similarly high dose of the high-passage non-virulent Leptospira variant, the gene expression pattern was similar to the one displayed by survivors of the LD50 challenge. Surprisingly, a leptospiraemia was still observed at D3 in most of the animals, though no clinical sign was noted and no mortality occurred.
We first developed a LD50 model of leptospirosis in hamsters. Used together with a non-lethal blood sampling technique, it allowed the acquisition of individual gene expression patterns during the course of acute leptospirosis. Using this model, we demonstrated that the expression of some immune genes in blood, together with the Leptospira burden in blood of infected animals could be correlated with the outcome of the infection.
The hamster is recognized as a good animal model for severe human leptospirosis . Using the virulent Leptospira interrogans Icterohaemorragiae strain Verdun ,, we determined the dose of 108 live leptospires injected via the intra-peritoneal route as leading to ca. 50% mortality. This challenge technique proved to be reproducible in 5 to 6-week old Syrian hamsters and was used for our study. When infected this way, the first clinical signs in hamsters held in individual cages (anorexia, then prostration and ruffled fur) were observed from 3 days post-infection on. This 3-day post-infection time point was also shown, in another experimental hamster model of leptospirosis, to be the time point for the first detection of Leptospira mRNA in target organs and a relevant time point for immune gene expression studies . The use of a non-lethal sampling technique together with the follow up of individual hamsters allowed relating the gene expression levels observed with the individual outcome. We additionally conducted two experimental infection experiments for comparison purpose, one using a high dose of the virulent strain (2×108 live leptospires via the intra-peritoneal route) leading to 100% mortality and a similarly high dose of an isogenic avirulent variant causing no mortality.
During these preliminary experiments, we determined that a 400 µL blood collection under gas anesthesia at this time point would not be too deleterious to the animals and was sufficient to allow the extraction of mRNA in adequate quantity and quality for gene expression studies. Based on our previous knowledge  and with additional preliminary experiments, we determined that TNFα, IL-1α, IL-6, IL-10, IFNγ, TGFβ and Cox2 gene expression levels could successfully be quantified using this experimental procedure. These targets were chosen for their relevance in studying our hypothesis of similarities between severe leptospirosis and septic shock. Only those evidencing a significant number of mRNA copy numbers at this time point, therefore allowing accurate determination of the gene expression levels, were studied.
The Leptospira burden was reported to be of prognostic value in human leptospirosis . In our study, it was evaluated by q-RT-PCR targeting the 16S-rRNA allowing to evaluating the burden of mostly live leptospires, bacterial rRNAs being very short-lived when cells have reduced activity or die ,. Using a ratio of Leptospira 16S rRNA copy number to host β-actin mRNA copy number allowed a comparison between individuals. As expected and observed in humans , significantly higher Leptospira burdens were noticed in nonsurvivors. Interestingly, a leptospiraemia was still observed at D3 in animals infected with a high dose of the avirulent Leptospira variant, suggesting that this high-passage variant, though not lethal, has retained some degree of pathogenicity. This also suggests that leptospiraemia might be strain- and virulence-dependent, possibly jeopardizing its use as a tool for prognosis, when the virulence of the infecting strain is not known.
The immune response to an infection is nowadays considered as precisely modulated rather than simply induced. Cytokines expression levels are largely studied in the context of septic shock and severe sepsis both for their possible prognostic value , – and as a way to improve our understanding of host-pathogen interactions. Actually, sepsis is now recognized as associated with an exacerbated production of both pro- and anti-inflammatory cytokines and the prognostic value of some of these is widely recognized .
Using reverse transcription-real-time PCR, the transcripts can be quantified directly in a biological sample, providing information about the in vivo immune response mechanisms of the individual. Studying the immune response is only possible at the transcriptional level in our animal model, due to the lack of tools for assessing serum conentrations of immune efectors. however, it is also probably more sensitive to evaluate the fine-tuning of the immune response because the amount of circulating cytokines only represents a minor part of the total amount of cytokines produced .
Our results in the LD50 model evidenced differential gene expression according to the outcome. TNFα, IL-1α, Cox-2 were expressed at significantly higher levels in nonsurvivors than in spontaneously recovering hamsters. Using the other two infection models, the results demonstrated similar gene expression levels in animals challenged with a LD100 and in nonsurvivors after a LD50 challenge on one hand, and on the other hand in survivors after a LD50 and animals infected with a high dose of the avirulent variant, both actually surviving. These similarities using different doses and strains confirm the validity of our results.
Our IL-1 RT-PCR targets IL1α, one of the two main active forms in the IL-1 family. IL-1β is most often considered as the prototypic IL-1 effector because it is released in the bloodstream, whereas Il-1α mostly remains cytosolic with an autocrine activity or is bound to the cell surface. Though IL-1β was more frequently considered as an indicator of Il-1 activity, IL-1α was shown to have an action very similar to the action of the more largely studied IL-1β. Furthermore, it was shown that its gene expression is quite similarly regulated –. TNFα and IL-1 are prototypic pro-inflammatory mediators that have been reported to have a prognosis value in sepsis ,, even if their clinical relevance was also questioned . Interestingly, TNFα was also reported to have a similar prognosis value in leptospirosis , though these results were not confirmed in other studies . Cox-2 is a highly inducible enzyme involved in the early phase of the inflammatory response. Notably induced by IL-1 and TNFα through the NFκB pathway, its induction can be considered as an end-result of the initial pro-inflammatory response. Interestingly, a significant induction of Cox-2 was observed only in nonsurvivors whatever the infective dose. This further suggests the probable contribution of a sepsis-like mechanism in severe leptospirosis. IL-10 is expressed at higher levels in nonsurvivors compared to the survivors in the LD50 model. These results are in agreement with several studies showing an exacerbated production of anti-inflammatory cytokines resulting in aggravation of a systemic disease and adverse outcome in febrile patients ,. The decreased production of Th1 cytokines in many cellular types was reported as an IL-10-induced adaptative immune response, by interfering on antigen-presenting cells and T cells, possibly via inhibition of NFκB nuclear translocation ,. This immunoregulatory role of IL-10 was clearly established after an anergy was observed in stimulated T cells in the presence of IL-10. Moreover, Il-10 production in innate immune response to a stimulus promotes the expansion of regulatory T cells, amplifying the anti-inflammatory effect of IL-10 ,,.
However, the results observed with the other two infection models suggest a possible effect of the infective dose on IL-10 expression levels, higher levels being noted in animals infected with a high Leptospira dose (either virulent or not) when compared to their respective counterparts with the same outcome in the LD50 model. The IL-10/TNFα ratio has been proposed as a prognosis indicator in sepsis , and in leptospirosis . A high IL-10/TNFα ratio was reported as correlated with poor outcome in septic patients, contrary to the opposite results obtained in one limited study reported in leptospirosis . This ratio was generally regarded as reflecting a persistent secretion of IL-10 at later time points, when concomitant down-regulation of TNFα occurs. From our experiments, this ratio, at least at the transcriptional level, does not appear relevant, both cytokines being induced in animals with fatal outcome, at least on the basis of our D3 time-point.
In our LD50 experiments, IL-6, often reported as the best marker of the severity of infectious (or even non-infectious) stress in humans and to have a prognosis value in sepsis , was not differentially expressed according to the outcome. However, our results merely reflect a very high inter-individual variability in IL-6 expression. Contrastingly, IL-6 expression in hamsters infected with (and dying from) a LD100 of Leptospira actually showed a highly increased expression, though again with a very high variability. Similarly, high fluctuations of bioactive IL-6 levels were reported in serum from septic patients . This high variability would also be limiting the value of IL-6 as a predictor in leptospirosis.
In our model, IFNγ and TGFβ had no prognostic value and were similarly expressed in infected hamsters whatever the dose or the outcome. Interestingly, the gene expression of IFNγ and TGFβ appeared not being significantly regulated based on the common 2-fold variation criterion ,. Because IFN-γ gene expression is antigen-presenting cells dependent, we could hypothesize that high Il-10 levels limited its expression, though it could have been beneficial for an optimal defense against infection.
However, some cytokines have been shown not to be regulated at a transcriptional level and post-transcriptional regulation also plays a major role in cytokine cascades even after a transcriptional regulation has occurred. Unfortunately in the hamster, our animal model, no tool is available to evaluate the serum concentrations of the effectors studied. On one hand, gene expression techniques allow a rapid and highly sensitive study of immune gene transcriptional regulation, notably because the circulating part of cytokines is considered as being the “tip of the iceberg” . On the other hand, some immune mediators of the septic shock are known to be poorly regulated at the transcriptional level and can therefore not be studied in our model. As an example, High-mobility group box (HMGB)-1 is primarily known as a nuclear DNA-binding protein with a transcription regulatory activity, but can also be excreted by stimulated macrophages, then displaying a cytokine activity, notably inducing the release of TNFα and IL-6 . It has been proposed as a prototypic late mediator of inflammation in severe sepsis , its delayed and prolonged release in established sepsis rising an increasing interest as a prognostic indicator or a therapeutic target in late-phase inflammation processes. Its usefulness as a prognostic indicator or as a therapeutic target remains unexplored in leptospirosis.
Though obtained in an animal model with Leptospira strains of known and relatively low virulence, these encouraging results prompted us to initiate a clinical study aiming at investigating the prognostic value of these effectors in patients with confirmed leptospirosis. Cytokines will similarly be studied at the gene expression level, but also by measuring their serum concentration levels, a technique much easier transmissible to health centers. This study is currently underway.
Conceived and designed the experiments: CG. Performed the experiments: FVP CG. Analyzed the data: FVP CG. Contributed reagents/materials/analysis tools: FVP. Wrote the paper: FVP CG.
- 1. Levett PN (2001) Leptospirosis. Clin Microbiol Rev 14: 296–326.
- 2. Goarant C, Laumond-Barny S, Perez J, Vernel-Pauillac F, Chanteau S, et al. (2009) Outbreak of leptospirosis in New Caledonia: diagnosis issues and burden of disease. Trop Med Int Health 14: 926–929.
- 3. Gaynor K, Katz AR, Park SY, Nakata M, Clark TA, et al. (2007) Leptospirosis on Oahu: an outbreak associated with flooding of a university campus. Am J Trop Med Hyg 76: 882–885.
- 4. Park SY, Effler PV, Nakata M, Sasaki D, Katz AR, et al. (2006) Brief report: Leptospirosis after flooding of a university campus–Hawaii, 2004. MMWR Morb Mortal Wkly Rep 55: 125–127.
- 5. Sejvar J, Bancroft E, Winthrop K, Bettinger J, Bajani M, et al. (2003) Leptospirosis in “Eco-Challenge” athletes, Malaysian Borneo, 2000. Emerging Infectious Diseases 9: 702–707.
- 6. Monahan AM, Miller IS, Nally JE (2009) Leptospirosis: risks during recreational activities. J Appl Microbiol 107: 707–716.
- 7. Morgan J, Bornstein SL, Karpati AM, Bruce M, Bolin CA, et al. (2002) Outbreak of leptospirosis among triathlon participants and community residents in Springfield, Illinois, 1998. Clin Infect Dis 34: 1593–1599.
- 8. Desai S, van Treeck U, Lierz M, Espelage W, Zota L, et al. (2009) Resurgence of Field Fever in a Temperate Country: An Epidemic of Leptospirosis among Seasonal Strawberry Harvesters in Germany in 2007. Clin Infect Dis 48: 691–697.
- 9. Ellis T, Imrie A, Katz AR, Effler PV (2008) Underrecognition of leptospirosis during a dengue fever outbreak in Hawaii, 2001–2002. Vector Borne Zoonotic Dis 8: 541–547.
- 10. Tajiki MH, Salomão R (1996) Association of plasma levels of Tumour Necrosis Factor α with severity of disease and mortality among patients with leptospirosis. Clinical Infectious Disease 23: 1177–1178.
- 11. Wagenaar JF, Gasem MH, Goris MG, Leeflang M, Hartskeerl RA, et al. (2009) Soluble ST2 Levels Are Associated with Bleeding in Patients with Severe Leptospirosis. PLoS Negl Trop Dis 3: e453.
- 12. Yang CW, Hung CC, Wu MS, Tian YC, Chang CT, et al. (2006) Toll-like receptor 2 mediates early inflammation by leptospiral outer membrane proteins in proximal tubule cells. Kidney Int 69: 815–822.
- 13. Sfeir T, Saha DC, Astiz M, Rackow EC (2001) Role of interleukin-10 in monocyte hyporesponsiveness associated with septic shock. Crit Care Med 29: 129–133.
- 14. Mege JL, Meghari S, Honstettre A, Capo C, Raoult D (2006) The two faces of interleukin 10 in human infectious diseases. Lancet Infect Dis 6: 557–569.
- 15. Arnalich F, Garcia-Palomero E, Lopez J, Jimenez M, Madero R, et al. (2000) Predictive value of nuclear factor kappaB activity and plasma cytokine levels in patients with sepsis. Infect Immun 68: 1942–1945.
- 16. Bozza FA, Salluh JI, Japiassu AM, Soares M, Assis EF, et al. (2007) Cytokine profiles as markers of disease severity in sepsis: a multiplex analysis. Crit Care 11: R49.
- 17. van Dissel JT, van Langevelde P, Westendorp RG, Kwappenberg K, Frolich M (1998) Anti-inflammatory cytokine profile and mortality in febrile patients. Lancet 351: 950–953.
- 18. Barber RC, Chang LY, Arnoldo BD, Purdue GF, Hunt JL, et al. (2006) Innate immunity SNPs are associated with risk for severe sepsis after burn injury. Clin Med Res 4: 250–255.
- 19. Booy R, Nadel S, Hibberd M, Levin M, Newport MJ (1997) Genetic influence on cytokine production in meningococcal disease. Lancet 349: 1176.
- 20. Cavaillon JM, Adib-Conquy M, Fitting C, Adrie C, Payen D (2003) Cytokine cascade in sepsis. Scand J Infect Dis 35: 535–544.
- 21. Cohen J (2002) The immunopathogenesis of sepsis. Nature 420: 885–891.
- 22. Shtrichman R, Samuel CE (2001) The role of gamma interferon in antimicrobial immunity. Curr Opin Microbiol 4: 251–259.
- 23. Chierakul W, de Fost M, Suputtamongkol Y, Limpaiboon R, Dondorp A, et al. (2004) Differential expression of interferon-γ and interferon-γ-inducing cytokines in Thai patients with scrub typhus or leptospirosis. Clin Immunol 113: 140–144.
- 24. Kang YJ, Wingerd BA, Arakawa T, Smith WL (2006) Cyclooxygenase-2 gene transcription in a macrophage model of inflammation. J Immunol 177: 8111–8122.
- 25. Hauck W, Samlalsingh-Parker J, Glibetic M, Ricard G, Beaudoin MC, et al. (1999) Deregulation of cyclooxygenase and nitric oxide synthase gene expression in the inflammatory cascade triggered by experimental group B streptococcal meningitis in the newborn brain and cerebral microvessels. Semin Perinatol 23: 250–260.
- 26. Maciel EA, Athanazio DA, Reis EA, Cunha FQ, Queiroz A, et al. (2006) High serum nitric oxide levels in patients with severe leptospirosis. Acta Trop 100: 256–260.
- 27. Al-Ashy R, Chakroun I, El-Sabban ME, Homaidan FR (2006) The role of NF-kappaB in mediating the anti-inflammatory effects of IL-10 in intestinal epithelial cells. Cytokine 36: 1–8.
- 28. Berg DT, Gupta A, Richardson MA, O'Brien LA, Calnek D, et al. (2007) Negative regulation of inducible nitric-oxide synthase expression mediated through transforming growth factor-beta-dependent modulation of transcription factor TCF11. J Biol Chem 282: 36837–36844.
- 29. Haake DA (2006) Hamster model of leptospirosis. Curr Protoc Microbiol Chapter 12: Unit 12E 12.
- 30. Silva EF, Santos CS, Athanazio DA, Seyffert N, Seixas FK, et al. (2008) Characterization of virulence of Leptospira isolates in a hamster model. Vaccine 26: 3892–3896.
- 31. Truccolo J, Charavay F, Merien F, Perolat P (2002) Quantitative PCR Assay To Evaluate Ampicillin, Ofloxacin, and Doxycycline for Treatment of Experimental Leptospirosis. Antimicrob Agents Chemother 46: 848–853.
- 32. Praditpornsilpa K, Sangjun N, Kittikowit W, Phulsuksombati D, Avihingsanon Y, et al. (2006) Alleviation of renal and pulmonary injury by immunomodulation in leptospirosis: hamster model. J Med Assoc Thai 89: Suppl 2S178–187.
- 33. Ristow P, Bourhy P, McBride FW, Figueira CP, Huerre M, et al. (2007) The OmpA-Like Protein Loa22 Is Essential for Leptospiral Virulence. PLoS Pathog 3: e97.
- 34. Silva EF, Medeiros MA, McBride AJ, Matsunaga J, Esteves GS, et al. (2007) The terminal portion of leptospiral immunoglobulin-like protein LigA confers protective immunity against lethal infection in the hamster model of leptospirosis. Vaccine 25: 6277–6286.
- 35. Srikram A, Wongratanacheewin S, Puapairoj A, Wuthiekanun V, Sermswan RW (2008) Analyses of vaccination protocols for Leptospira interrogans serovar autumnalis in hamsters. Am J Trop Med Hyg 79: 779–786.
- 36. van den Ingh TS, Hartman EG (1986) Pathology of acute Leptospira interrogans serotype icterohaemorrhagiae infection in the Syrian hamster. Vet Microbiol 12: 367–376.
- 37. Yan W, Faisal SM, McDonough SP, Divers TJ, Barr SC, et al. (2008) Immunogenicity and protective efficacy of recombinant Leptospira immunoglobulin-like protein B (rLigB) in a hamster challenge model. Microbes Infect 11: 230–237.
- 38. Vernel-Pauillac F, Merien F (2006) Proinflammatory and Immunomodulatory Cytokine mRNA time course profiles in hamsters infected with a virulent variant of Leptospira interrogans. Infection and Immunity 74: 4172–4179.
- 39. Truccolo J, Serais O, Merien F, Perolat P (2001) Following the course of human leptospirosis: evidence of a critical threshold for the vital prognosis using a quantitative PCR assay. FEMS Microbiology Letters 204: 317–321.
- 40. Ellinghausen HC Jr, McCullough WG (1965) Nutrition of Leptospira Pomona and Growth of 13 Other Serotypes: Fractionation of Oleic Albumin Complex and a Medium of Bovine Albumin and Polysorbate 80. Am J Vet Res 26: 45–51.
- 41. Overbergh L, Giulietti A, Valckx D, Decallonne R, Bouillon R, et al. (2003) The use of real-time reverse transcriptase PCR for the quantification of cytokine gene expression. J Biomol Tech 14: 33–43.
- 42. Merien F, Amouriaux P, Perolat P, Baranton G, Saint Girons I (1992) Polymerase chain reaction for detection of Leptospira spp. in clinical samples. J Clin Microbiol 30: 2219–2224.
- 43. Larkin P, Folmar LC, Hemmer MJ, Poston AJ, Denslow ND (2003) Expression profiling of estrogenic compounds using a sheepshead minnow cDNA macroarray. EHP Toxicogenomics 111: 29–36.
- 44. Wang W, Yang L, Suwa T, Casson PR, Hornsby PJ (2001) Differentially expressed genes in zona reticularis cells of the human adrenal cortex. Mol Cell Endocrinol 173: 127–134.
- 45. Merien F, Baranton G, Perolat P (1997) Invasion of Vero cells and induction of apoptosis in macrophages by pathogenic Leptospira Interrogans are correlated with virulence. Infect Immun 65: 729–738.
- 46. Merien F, Truccolo J, Rougier Y, Baranton G, Perolat P (1998) In vivo apoptosis of hepatocytes in guinea pigs infected with Leptospira interrogans serovar icterohaemorrhagiae. FEMS Microbiol Lett 169: 95–102.
- 47. Lowanitchapat A, Payungporn S, Seeremaspun A, Ekpo P, Phulsuksombati D, et al. (2009) Expression of TNF-alpha, TGF-beta, IP-10 and IL-10 mRNA in kidneys of hamsters infected with pathogenic Leptospira. Comp Immunol Microbiol Infect Dis. E-pub ahead of print.
- 48. Deutscher MP (2003) Degradation of stable RNA in bacteria. J Biol Chem 278: 45041–45044.
- 49. Poulsen LK, Ballard G, Stahl DA (1993) Use of rRNA fluorescence in situ hybridization for measuring the activity of single cells in young and established biofilms. Appl Environ Microbiol 59: 1354–1360.
- 50. Cavaillon JM, Munoz C, Fitting C, Misset B, Carlet J (1992) Circulating cytokines: the tip of the iceberg? Circ Shock 38: 145–152.
- 51. Philippart F, Cavaillon JM (2007) Sepsis mediators. Curr Infect Dis Rep 9: 358–365.
- 52. Stylianou E, Saklatvala J (1998) Interleukin-1. Int J Biochem Cell Biol 30: 1075–1079.
- 53. Dinarello CA (1994) The interleukin-1 family: 10 years of discovery. Faseb J 8: 1314–1325.
- 54. Gogos CA, Drosou E, Bassaris HP, Skoutelis A (2000) Pro- versus anti-inflammatory cytokine profile in patients with severe sepsis: a marker for prognosis and future therapeutic options. J Infect Dis 181: 176–180.
- 55. Garnacho-Montero J, Aldabo-Pallas T, Garnacho-Montero C, Cayuela A, Jimenez R, et al. (2006) Timing of adequate antibiotic therapy is a greater determinant of outcome than are TNF and IL-10 polymorphisms in patients with sepsis. Crit Care 10: R111.
- 56. Fiorentino DF, Zlotnik A, Mosmann TR, Howard M, O'Garra A (1991) IL-10 inhibits cytokine production by activated macrophages. J Immunol 147: 3815–3822.
- 57. Tajiki MH, Nakama ASY, Salomão R (1997) The Ratio Of Plasma Levels Of Il-10/Tnf-Alpha And Its Relationship To Disease Severity And Survival In Patients With Leptospirosis. Braz J Infect Dis 1: 138–141.
- 58. Abe R, Hirasawa H, Oda S, Sadahiro T, Nakamura M, et al. (2008) Up-regulation of interleukin-10 mRNA expression in peripheral leukocytes predicts poor outcome and diminished human leukocyte antigen-DR expression on monocytes in septic patients. J Surg Res 147: 1–8.
- 59. Yang H, Wang H, Czura CJ, Tracey KJ (2005) The cytokine activity of HMGB1. J Leukoc Biol 78: 1–8.
- 60. Ulloa L, Tracey KJ (2005) The “cytokine profile”: a code for sepsis. Trends Mol Med 11: 56–63.