- Research article
- Open Access
Concomitant influence of helminth infection and landscape on the distribution of Puumala hantavirus in its reservoir, Myodes glareolus
- Alexis Ribas Salvador†1,
- Emmanuel Guivier†2,
- Anne Xuéreb2,
- Yannick Chaval2,
- Patrice Cadet3,
- Marie-Lazarine Poulle3,
- Tarja Sironen4,
- Liina Voutilainen5,
- Heikki Henttonen5,
- Jean-François Cosson2 and
- Nathalie Charbonnel2Email author
© Salvador et al; licensee BioMed Central Ltd. 2011
- Received: 11 October 2010
- Accepted: 8 February 2011
- Published: 8 February 2011
Puumala virus, the agent of nephropathia epidemica (NE), is the most prevalent hantavirus in Europe. The risk for human infection seems to be strongly correlated with the prevalence of Puumala virus (PUUV) in populations of its reservoir host species, the bank vole Myodes glareolus. In humans, the infection risks of major viral diseases are affected by the presence of helminth infections. We therefore proposed to analyse the influence of both helminth community and landscape on the prevalence of PUUV among bank vole populations in the Ardennes, a PUUV endemic area in France.
Among the 313 voles analysed, 37 had anti-PUUV antibodies. Twelve gastro-intestinal helminth species were recorded among all voles sampled. We showed that PUUV seroprevalence strongly increased with age or sexual maturity, especially in the northern forests (massif des Ardennes). The helminth community structure significantly differed between this part and the woods or hedgerows of the southern cretes pre-ardennaises. Using PUUV RNA quantification, we identified significant coinfections between PUUV and gastro-intestinal helminths in the northern forests only. More specifically, PUUV infection was positively associated with the presence of Heligmosomum mixtum, and in a lesser extent, Aonchotheca muris-sylvatici. The viral load of PUUV infected individuals tended to be higher in voles coinfected with H. mixtum. It was significantly lower in voles coinfected with A. muris-sylvatici, reflecting the influence of age on these latter infections.
This is the first study to emphasize hantavirus - helminth coinfections in natural populations. It also highlights the importance to consider landscape when searching for such associations. We have shown that landscape characteristics strongly influence helminth community structure as well as PUUV distribution. False associations might therefore be evidenced if geographic patterns of helminths or PUUV repartition are not previously identified. Moreover, our work revealed that interactions between helminths and landscape enhance/deplete the occurrence of coinfections between PUUV and H. mixtum or A. muris-sylvatici. Further experimental analyses and long-term individual surveys are now required to confirm these correlative results, and to ascertain the causal links between helminth and PUUV infection risks.
- Bank Vole
- Helminth Infection
- Hemorrhagic Fever With Renal Syndrome
- Wooded Area
- Helminth Species
Puumala virus (PUUV) is the most prevalent hantavirus in Europe [1, 2]. It is the agent of a mild form of hemorrhagic fever with renal syndrome called nephropathia epidemica (NE). The main course of transmission to humans is indirect by inhalation of virus-contaminated aerosols  from excreta of infected bank voles, Myodes glareolus, the reservoir of PUUV [4, 5]. In France, about 60 cases of NE are yearly notified, but up to 250 cases can be observed during epidemic years (Data from the Institut National de Veille Sanitaire, INVS). The most important endemic areas of NE, which account for 30-40% of the human cases, are located in the Ardennes, along the Belgian border [6, 7].
The risk for human infection seems to be strongly correlated with M. glareolus population abundance [e.g. ], which shows multi-annual fluctuations driven in temperate Europe by variations in tree seed production [9, 10]. It is also related to the spatial distribution of PUUV-infected rodents, which depends on diverse factors including rodent community structure [11–14] or landscape features [15–17]. Patch size, fragmentation and isolation of landscape may influence the dispersal of voles and consequently the epidemiology of PUUV . In addition, different characteristics of the soil such as moisture may affect the survival of PUUV in the natural environment, therefore influencing the importance of an indirect transmission of this hantavirus among rodents [18, 19].
Landscape features are also strong determinants of the macroparasite community structure . Interestingly, recent reviews have stressed the importance of helminth coinfection for viral disease epidemiology [21, 22]. Such infections could lead to variations in the outcome of virus infection through direct or indirect mechanisms. First, helminths and viruses might compete either for food or space. For example, helminths that induce anemia could limit the replication of viruses that depend on red blood cells [see, ]. Second, host immunity may modulate the outcomes of helminth-virus coinfection through immunosuppression or cross-immunity [21–23]. In the majority of cases, helminth infections induce a polarisation of the immune response to Th2, and a down-regulation of the Th1 cell-subset [24, 25]. They may also induce immunomodulatory mechanisms . As such, the risks of infections and the severity of major viral diseases of humans (e.g. HIV, Hepatitis B and C) are known to be affected by the presence of many helminthic infections [e.g. Schistosoma mansoni, Ascaris, see [26–28]].
To our knowledge, there is no study that investigated this question of the potential concomitant influence of helminth community structure and landscape on the risk of hantavirus infection, either in humans, laboratory animals or natural reservoir populations. We explored this issue by analysing the interspecific interactions between gastro-intestinal helminths and PUUV among a cross-sectional natural population sample of bank voles trapped in different landscapes of the Ardennes, the main PUUV endemic area in France.
Bank vole sampling and parasitological screenings
Once trapped, voles were sacrificed by cervical dislocation as recommended by Mills et al. . They were sexed and weighted. Body length was measured from snout to vent to the nearest 1 mm. Body condition of bank voles was estimated as the body mass index [BMI = weight/length2, ]. Animals were dissected. The sexual maturation of bank voles was deduced from testes and uterus size by visual observation. Males with developed epididymis were considered as sexually mature. Females with uterus smaller than 1 mm were considered as nullipare. We also distinguished females that were in gestation or lactation (uterus larger than 3 mm, presence of fetuses or lactating mammary glands) from females that had previously reproduced (uterus size of 2 mm or uterine scars) but that were not reproducing at the time of sampling. The digestive tracts were removed and stored in 96% ethanol before being analysed in the laboratory. All the helminths detected were carefully counted under the microscope and identified unambiguously using morphological criteria. For each individual, blood samples were also taken from the heart or the thoracic cavity on a 1-cm2 Whatman blotting paper.
All listed animal procedures were pre-approved by the Direction des Services Vétérinaires of the Herault Department (B 34-169-1 Agreement).
PUUV serological screening and viral load quantification
In the laboratory, each piece of Whatman blotting paper was placed in 1 ml phosphate-buffered saline. These diluted blood samples were screened for IgG antibodies to Puumala virus (PUUV) using immunofluorescence antibody test (IFAT) as described in Lundkvist et al. .
PUUV load was measured in PUUV seropositive voles using real-time quantitative RT-PCR. Total RNA was extracted from lung tissue samples as PUUV concentration is high compared to other organs . We used TriPure Isolation Reagent (Roche) according to the manufacturer's instructions. One μg of RNA was used for first-strand cDNA synthesis using RevertAid™ H Minus Kit (Fermentas) with random hexamers. Real-time quantitative PCR was done using a DyNAmo Capillary SYBR Green Quantitative PCR kit (Finnzymes) with a LightCycler instrument (Roche). The following primers (Oligomer) were used: PUUV-forward 5'-GAG GAT ATA ACC CGC CAT GA-3', PUUV-reverse 5'-CTG GCT TGC AGT GTG TTT TT-3'. Samples were first normalized against variation in vole lung sample quality and quantity to GAPDH expression with the following primers: GAPDH-forward 5'-ATG GGG AAG GTG AAG GTC G-3' and GAPDH-reverse 5'-TAA AAG CAG CCC TGG TGA CC-3'. We then provide an absolute quantification for PUUV RNA: PUUV copy numbers (copies per 1 μg of total RNA) were calculated from a standard curve created using 10-fold dilutions of in vitro transcribed PUUV S segment RNA (T7 transcription kit, Fermentas). Melting curve analysis was performed according to recommendations of the DyNAmo kit to confirm the specificity of positive samples. Samples were considered PUUV RNA positive when the C T (cycle threshold) value was lower than 40 cycles and the melting curve showed a specific product.
A logistic regression was first applied to determine vole individual characteristics that best explained PUUV infection. The dependent variable was the presence/absence of anti-PUUV antibodies in voles. Sex, sexual maturity, mass, body condition, landscape and site nested within landscape were included as independent variables. All possible two way interactions were considered. Model selection was performed using the Akaike's Information Criterion [AIC, [36, 37]]. The model with the lowest AIC value was viewed as the most parsimonious one, i.e. the one explaining most of the variance with the fewest parameters . Nested models with difference of AIC <2 compared to the model with the lowest AIC were selected. Significance of explanatory factors and their interaction were determined using deletion testing, with the significance of a term determined by the log-likelihood ratio-test . If the interaction term was significant, both lower order terms involved in that interaction were retained . The sum of squares was used to test model fit (F-statistic). In a posteriori pairwise comparisons for least square means, a multiple comparison adjustment for the p-values were done according to the Tukey-Kramer method. These analyses were performed in Genstat 7.1 (Lawes Agricultural Trust, Rothamstead).
The helminth community structure was next analysed with regard to geographic parameters (site and landscape configuration). The helminth infracommunity structure was assessed by the number of helminth species. The prevalence (i.e. the proportion of voles infected) of each helminth species was estimated per site. Spatial variations of helminth co-occurrence/antagonism were explored using a correspondence analysis (CA) performed in ADE4  and based on the presence/absence data of each helminth species per vole. Results were projected on the site map to illustrate geographic heterogeneity in helminth structure. Site/landscape differences along the two first CA axes were tested using non-parametric Kruskal-Wallis tests performed in Genstat 7.1 (Lawes Agricultural Trust, Rothamstead). We could therefore identify sites/landscape configurations exhibiting homogeneous helminth communities.
We used this partition to identify synergistic or antagonistic interactions between helminth species and PUUV infection. As such we avoided associations that would only be mediated by differences of helminth and PUUV distribution among landscapes. We applied the discriminant analysis (DA) performed in ADE4  to maximize the variance between designated groups (PUUV seronegative vs seropositive voles) while keeping the intra-group variance constant . The significance of the ratio of these two values was tested using 10,000 permutations. For each helminth, we estimated the relative risk following Haldane  and we tested the association with PUUV-serological status using Fisher exact tests followed by Bonferroni sequential corrections.
Finally, we considered PUUV infected voles to compare the viral load of individuals coinfected with helminths significantly associated with PUUV and individuals non-infected with these helminths. Under the assumption of a positive interaction between PUUV and a given helminth, we expected that PUUV viral load should be comparatively lower in PUUV-helminth coinfected voles than in voles only infected by PUUV .
Helminth and PUUV data
Description of the helminth diversity and PUUV seroprevalence per site of sampling.
Site of sampling
N h (N ces-larv /N ces-ad /N nem )
Description of the helminth species observed in M. glareolus trapped in the french Ardennes.
(definitive or intermediate hosts)
Prevalence per site
(range in %)
Number of helminths per vole
(range, for non null values)
Hymenolepis (Arostrilepis s.l.) horrida
PUUV infection risk factors
Helminth community structure and coinfection with PUUV
The factor 'Site of sampling' had a significant impact on both F1 and F2 axis values (Kruskal-Wallis, p < 10-4). This effect was mediated by the impact of 'Landscape configuration' (F1: Kruskal-Wallis, p < 10-4; F2: Kruskal-Wallis, p = 4 × 10-4, Figure 3b). Post-hoc Tukey Kramer tests showed that the helminth community observed in voles sampled in the Northern massif des Ardennes significantly differed from the one observed in voles sampled in the Southern part of the crêtes pré-Ardennaises, either in wooded or hedgerow areas. This result was confirmed when we projected the F1 or F2 values on the site map. Sites appeared divided into two areas, corresponding to the Northern massif des Ardennes and to the Southern crêtes pré-Ardennaises (Figure 3c). Most of the negative F1 values (squares) were located in the northern part of the area whereas the F2 positive values (circles) were observed in the southern part. By plotting the gravity centres of each landscape configuration on the F1xF2 factorial plan, it appeared that northern sites were characterized by the presence of M. muris, A. muris-sylvatici (they were not detected in Southern sites) and T. arvicolae whereas Southern sites experienced more infections associated with T. taeniaeformis and S. petrusewiczi (this latter species was not detected in Northern sites).
Biomedical research has long explored the impact of coinfection on the outcome of human diseases [e.g. [27, 28, 44, 45]]. Particular attention has been given to helminth-microparasite interactions, because host immune responses or immune regulation mediated by these pathogens generally have antagonistic effects .
So far, there are no studies on the interactions between helminths and hantaviruses even though helminth communities and PUUV distribution have been independently described for several natural populations of bank voles in the context of ecological, geographical and/or immunogenetic studies [e.g. [16, 29, 47–54]]. In a previous study, we combined macroparasites and PUUV infection data from bank vole populations sampled in the French Jura to analyse the relationships between immune gene variation and parasitism . Unfortunately, the small number of PUUV-seropositive bank voles then prevented the possibility of searching for helminth-PUUV coinfection.
In this study, we combined serological and molecular methods to detect PUUV infection. Because PUUV infections are chronic in voles , the presence of antibodies is expected to be highly correlated with the presence of the virus. However during the breeding season, maternal antibodies might account for up to one third of the seropositive voles detected . Moreover, previous studies in natural  or controlled  conditions have shown that the levels of shed hantavirus RNA could change a lot over time in excretion and blood samples. Although the highest rates of hantavirus shedding is generally observed during the first weeks after infection, viral RNA can be detected in blood for as much as 133 or 217 days post-infection [55, 57]. Most of the PUUV antibody positive voles detected in this work were also PUUV RNA positive (33 out of 37). Among the four that had too low PUUV viral load to be considered RNA positive, one was an immature male. PUUV antibodies were likely to result from maternal transfer [e.g. [56, 58]]. The three other voles were adults, and were probably not shedding PUUV at this time. We could however not investigate the reasons underlying these differences in PUUV viral load between PUUV antibody positive adult voles.
We used two appropriate methods to detect negative and positive interactions . We reported significant positive associations between two helminth species (H. mixtum and A. muris-sylvatici) and PUUV infection in bank voles. Because helminths generally drive strong type 2 responses , which are antagonistic to type 1 responses involved in the immune defense against hantaviruses [review in ], we addressed the question of whether these helminth infections could influence vole susceptibility to PUUV.
First, we found that PUUV infection was more often observed in voles coinfected with H. mixtum, and that PUUV viral loads were slightly higher in voles coinfected with this nematode. These results can be interpreted with regard to the immune knowledge acquired from the close parasite Nippostrongylus (syn. Heligmosomum) brasiliensis, which is extensively used as a laboratory model to study Th2 immunity. In mice and rats, N. brasiliensis induces polarized Th2 responses characterized by elevation of IgE and Th2 cytokines such as IL-4, IL-5, and IL-13 [e.g. [61, 62]]. This immune response might increase the susceptibility to PUUV. On another hand, Reece et al.  also reported that the baseline transcription levels of Th1 cytokines (IFN-γ, IL-12, and IL-6) are also elevated in N. brasiliensis-infected mice. This could explain that the Th2 response induced by H. mixtum is not strong enough to induce a dramatic increase of PUUV viral loads in coinfected voles. A similar observation had been made by Liesenfeld et al.  and Erb et al.  on a different biological system. They respectively showed that the densities of Toxoplasma gondii and Mycobacterium bovis in mice were only slightly affected by the presence of N. brasiliensis. Lastly, an added complexity in the interpretation of this coinfection is the possibility that it might be generated by correlated exposure, by parasite longevity and host age, or by differences in the genetic constitution of individual hosts. We can hypothesize that genetic factors of susceptibility might mediate the significant co-occurrence of PUUV and H. mixtum infection. Major histocompatibility complex (Mhc) class II genes could be relevant candidates as their polymorphism seems to influence the risk of PUUV or H. mixtum infection in bank voles [52, 64, 65]. Other candidate genes such as Tnf-α, which encodes for the Tumor Necrosis Factor alpha and strongly influence bank vole susceptibility to PUUV , should also be explored to better understand the potential influence of immunogenetics on the probability of helminth - PUUV coinfections.
Second, we found that PUUV viral loads were significantly decreased in voles coinfected with A. muris-sylvatici, although the risk of PUUV infection was slightly higher in voles coinfected with this nematode. Maturation status, which strongly influences the behaviour of voles and as such, has been shown to be a good determinant of parasite infection , could drive this slight and ambiguous pattern of co-occurrence observed between PUUV and A. muris-sylvatici infections . Several studies have found that Aoncotheca species only occured in mature voles. These older individuals infected with A. muris-sylvatici were more likely to be infected with PUUV than younger ones as the risk of PUUV infection increases with age [e.g. [30, 67, 68]]. These PUUV infections could nevertheless have occurred earlier than those with A. muris-sylvatici, as suggested by the significant influence of vole mass (which reflects vole age) on the probability of single and co-infection. As bank voles secrete PUUV only during a limited time of the infection , the delay that is likely to exist between PUUV and A. muris-sylvatici infections could explain the low viral load observed in coinfected bank voles.
Besides, the lower loads of PUUV detected in voles coinfected with A. muris-sylvatici could also be the results of host immune response or immune regulators secreted by this nematode. A single study reported the immune consequences of Aonchoteca (syn = Capillaria) infection . Although Kim et al.  showed an over-expression of genes encoding cytokines related to Th2 pathways, they also highlighted strong increases in the transcription levels of the Th1 cytokine IFN-γ. This cytokine is known to be crucial for restricting Hantavirus replication [review in ]. Indeed, IFN-γ is essential for inducing a variety of innate antiviral effector mechanisms such as natural killer (NK) cells or NKT cells [70, 71]. The host is thus able to limit viral spread before the adaptive response is mounted. A suppressive effect of A. muris-sylvatici on PUUV viral replication could thus be mediated by the potential induction of IFN-γ production following A. muris-sylvatici infection.
Our study also stressed the main importance of considering landscape configuration when analysing patterns of coinfection, especially in the case of helminths and PUUV.
First, we showed that the helminth community structure of bank voles was strongly affected by landscape. Main differences were observed between the Northern massif des Ardennes and the Southern crêtes pré-ardennaises. S. petrusewiczi was for example never recorded in the Northern sites while H. horrida, M. muris and T. arvicolae were extremely rare in the Southern sites. Helminths are known to interact with the external environment. Climatic factors or soil composition are examples of conditions that may affect the development of their free-living stages or the survival of their transmission stages outside their hosts [e.g. [72–75]]. The distinction between the Northern massif des Ardennes and the Southern crêtes pré-ardennaises relies on geological and climatic differences that could in turn explain geographical variations in the helminth community structure. Indeed, the Northern massif is characterized by primary soils (shist, slate), cold winters and higher precipitations whereas the crêtes pré-ardennaises are composed of secondary soils (clay) and experience less severe winter and rainfall. Besides, we found no differences between the helminth communities observed in wooded areas and hedgerows from the Southern area. This was surprising because population genetic analyses have revealed that bank vole populations from hedgerows experienced strong genetic drift, leading to strong genetic differentiation among them and between populations from hedgerows and wooded areas . It is possible that both bank vole dispersal from wooded areas to hedgerows, as well as the existence of survival stages in the external environment, might counterbalance the impact of drift on the helminth community structure of hedgerows.
This spatial differentiation of helminth communities observed between the northern massif and the southern cretes could lead to false associations mediated by the distribution of particular species. The same observation holds for PUUV as we showed that its distribution also exhibited strong disparities between sites. Several studies have stressed the influence of environmental factors, including winter temperature and soil moisture, on PUUV prevalence in bank vole populations [15, 19]. Deeper insights into local factors mediating differences in quality of forest patches could provide a better understanding of the spatial variations of PUUV prevalence mediated by variations in bank vole abundance or dynamics [31, 77]. Particular attention could especially be given to the differences in proportions of functional groups (e.g. mature vs immature voles) mediated by environmental and landscape variations, as PUUV and helminth species structures strongly depend on these proportions.
Finally, landscape configuration and environmental conditions might enhance or deplete the possibility for immune-mediated coinfection to occur. High population densities, and low availability of resources, might constitute stressful environmental factors that can in turn lead to trade-offs between fitness components , and even between immune pathways [79, 80]. Immune responses that are energetically costly (e.g. systemic inflammatory response) are expected to be depleted at the expense of less costly ones (e.g. antibody-mediated immunity). Therefore, spatio-temporal variations in environmental factors influencing the costs and benefits of resistance to PUUV of gastro-intestinal helminths could promote geographic differences in the occurrence of coinfections. This process might participate in explaining why PUUV - H. mixtum coinfection are only detected in the Northern massif des Ardennes despite the presence of H. mixtum over the region sampled. The Southern crêtes pré-ardennaises might experience less stressful climatic conditions that do not lead to strong trade-offs between immune responses. Temporal surveys of helminths and PUUV in these two geographic areas and in other part of Europe could help confirming this hypothesis. Such longitudinal studies, including different sampling seasons, could also bring insight into the influence of population age structure in the helminth-PUUV interactions described here.
To our knowledge, this is the first study that analyses hantavirus - helminth coinfection in natural populations of reservoirs. Our research stressed the influence of the environment in enhancing or depleting the occurrence of these coinfections. PUUV and parasite species distributions, which strongly depend on soil and climatic factors, and immune trade-offs mediated by stressful environmental conditions may affect the incidence and our capacities to detect coinfections of biological significance. Longitudinal studies are now required to follow the same marked bank voles through times and to disentangle the host, pathogen and environmental factors underlying the PUUV-helminth associations described in this study.
This work received the financial support from the Institut National de la Recherche Agronomique and the GOCE-CT-2003-010284 EDEN. The manuscript is catalogued by the EDEN Steering Committee as EDEN0252 (http://www.eden-fp6project.net).
- Lundkvist A, Niklasson B: Bank vole monoclonal antibodies against Puumala virus envelope glycoproteins: identification of epitopes involved in neutralization. Arch Virol. 1992, 126: 93-105. 10.1007/BF01309687.PubMedView ArticleGoogle Scholar
- Vapalahti O, Mustonen J, Lundkvist A, Henttonen H, Plyusnin A, Vaheri A: Hantavirus infections in Europe. Lancet Infect Dis. 2003, 3 (10): 653-661. 10.1016/S1473-3099(03)00774-6.PubMedView ArticleGoogle Scholar
- Gavrilovskaya IN, Apekina NS, Bernshtein AD, Demina VT, Okulova NM, Myasnikov YA, Chumakov MP: Pathogenesis of hemorrhagic fever with renal syndrome virus infection and mode of horizontal transmission of hantavirus in bank voles. Arch Virol. 1990, S57-S62. Suppl 1Google Scholar
- Brummer-Korvenkontio M, Vaheri A, Hovi T, von Bonsdorff CH, Vuorimies J, Manni T, Penttinen K, Oker-Blom N, Lahdevirta J: Nephropathia epidemica: detection of antigen in bank voles and serologic diagnosis of human infection. J Infect Dis. 1980, 141: 131-134.PubMedView ArticleGoogle Scholar
- Klingstrom J, Heyman P, Escutenaire S, Sjolander KB, De Jaegere F, Henttonen H, Lundkvist A: Rodent host specificity of European hantaviruses: evidence of Puumala virus interspecific spillover. J Med Virol. 2002, 68 (4): 581-588. 10.1002/jmv.10232.PubMedView ArticleGoogle Scholar
- Heyman P, Cochez C, Ducoffre G, Mailles A, Zeller H, Abu Sin M, et al: Haemorrhagic fever with renal syndrome: an analysis of the outbreaks in Belgium, France, Germany, the Netherlands and Luxembourg in 2005. Euro Surveillance. 2007, 12: 167-171.Google Scholar
- Penalba C, Galempoix JM, Lanoux P: epidémiologie des infections à hantavirus en France. Med Mal Infect. 2001, 31 (2): 272-284. 10.1016/S0399-077X(01)80067-6.View ArticleGoogle Scholar
- Niklasson B, Hörnfeldt B, Lundkvist Å, Björsten S, Leduc J: Temporal dynamics of Puumala virus antibody prevalence in voles and of nephropathia epidemica incidence in humans. Am J Trop Med Hyg. 1995, 53: 134-140.PubMedGoogle Scholar
- Tersago K, Verhagen R, Servais A, Heyman P, Ducoffre G, Leirs H: Hantavirus disease (nephropathia epidemica) in Belgium: effects of tree seed production and climate. Epidemiol Infect. 2009, 137 (2): 250-256. 10.1017/S0950268808000940.PubMedView ArticleGoogle Scholar
- Clement J, Vercauteren J, Verstraeten WW, Ducoffre G, Barrios JM, Vandamme AM, Maes P, Van Ranst M: Relating increasing hantavirus incidences to the changing climate: the mast connection. Int J Health Geogr. 2009, 8: 1-10.1186/1476-072X-8-1.PubMedPubMed CentralView ArticleGoogle Scholar
- Tersago K, Schreurs A, Linard C, Verhagen R, Van Dongen S, Leirs H: Population, environmental, and community effects on local bank vole (Myodes glareolus) Puumala virus infection in an area with low human incidence. Vector Borne Zoonotic Dis. 2008, 8 (2): 235-244. 10.1089/vbz.2007.0160.PubMedView ArticleGoogle Scholar
- Dizney LJ, Ruedas LA: Increased host species diversity and decreased prevalence of Sin Nombre virus. Emerg Infect Dis. 2009, 15 (7): 1012-1018. 10.3201/eid1507.081083.PubMedPubMed CentralView ArticleGoogle Scholar
- Clay CA, Lehmer EM, St Jeor S, Dearing MD: Testing mechanisms of the dilution effect: deer mice encounter rates, Sin Nombre virus prevalence and species diversity. Ecohealth. 2009, 6 (2): 250-259. 10.1007/s10393-009-0240-2.PubMedView ArticleGoogle Scholar
- Clay CA, Lehmer EM, Jeor SS, Dearing MD: Sin Nombre virus and rodent species diversity: a test of the dilution and amplification hypotheses. PLoS One. 2009, 4 (7): e6467-10.1371/journal.pone.0006467.PubMedPubMed CentralView ArticleGoogle Scholar
- Linard C, Tersago K, Leirs H, Lambin EF: Environmental conditions and Puumala virus transmission in Belgium. Int J Health Geogr. 2007, 6: 55-10.1186/1476-072X-6-55.PubMedPubMed CentralView ArticleGoogle Scholar
- Linard C, Lamarque P, Heyman P, Ducoffre G, Luyasu V, Tersago K, Vanwambeke SO, Lambin EF: Determinants of the geographic distribution of Puumala virus and Lyme borreliosis infections in Belgium. Int J Health Geogr. 2007, 6: 15-10.1186/1476-072X-6-15.PubMedPubMed CentralView ArticleGoogle Scholar
- Escutenaire S, Chalon P, De Jaegere F, Karelle-Bui L, Mees G, Brochier B, Rozenfeld F, Pastoret PP: Behavioral, physiologic, and habitat influences on the dynamics of Puumala virus infection in bank voles (Clethrionomys glareolus). Emerg Infect Dis. 2002, 8 (9): 930-936.PubMedPubMed CentralView ArticleGoogle Scholar
- Sauvage F, Langlais M, Yoccoz NG, Pontier D: Modelling hantavirus in fluctuating populations of bank voles: the role of indirect transmission on virus persistence. J Anim Ecol. 2003, 72 (1): 1-13. 10.1046/j.1365-2656.2003.00675.x.View ArticleGoogle Scholar
- Kallio ER, Klingstrom J, Gustafsson E, Manni T, Vaheri A, Henttonen H, Vapalahti O, Lundkvist A: Prolonged survival of Puumala hantavirus outside the host: evidence for indirect transmission via the environment. J Gen Virol. 2006, 87 (8): 2127-2134. 10.1099/vir.0.81643-0.PubMedView ArticleGoogle Scholar
- Cattadori IM, Haukisalmi V, Henttonen H, Hudson P: Transmission ecology and the structure of parasite communities in small mammals. Micromammals and macroparasites: from evolutionary ecology to management. Edited by: Morand S, Krasnov B, Poulin R. 2006, Tokyo: Springer, 349-369. full_text.View ArticleGoogle Scholar
- Graham AL: Ecological rules governing helminth-microparasite coinfection. Proc Natl Acad Sci USA. 2008, 105 (2): 566-570. 10.1073/pnas.0707221105.PubMedPubMed CentralView ArticleGoogle Scholar
- Supali T, Verweij JJ, Wiria AE, Djuardi Y, Hamid F, Kaisar MM, Wammes LJ, van Lieshout L, Luty AJ, Sartono E, et al: Polyparasitism and its impact on the immune system. Int J Parasitol. 2010, 40 (10): 1171-1176. 10.1016/j.ijpara.2010.05.003.PubMedView ArticleGoogle Scholar
- Cox FE: Concomitant infections, parasites and immune responses. Parasitology. 2001, 122 (Suppl): S23-38. 10.1017/S003118200001698X.PubMedView ArticleGoogle Scholar
- Maizels RM, Yazdanbakhsh M: Immune regulation by helminth parasites: cellular and molecular mechanisms. Nat Rev Immunol. 2003, 3 (9): 733-744. 10.1038/nri1183.PubMedView ArticleGoogle Scholar
- Kamal SM, El Sayed Khalifa K: Immune modulation by helminthic infections: worms and viral infections. Parasite Immunol. 2006, 28 (10): 483-496. 10.1111/j.1365-3024.2006.00909.x.PubMedView ArticleGoogle Scholar
- Bentwich Z, Kalinkovich A, Weisman Z, Borkow G, Beyers N, Beyers AD: Can eradication of helminthic infections change the face of AIDS and tuberculosis?. Immunol Today. 1999, 20 (11): 485-487. 10.1016/S0167-5699(99)01499-1.PubMedView ArticleGoogle Scholar
- Edwards MJ, Buchatska E, Ashton M, Montoya M, Bickle QD, Borrow P: Reciprocal immunomodulation in a schistosome and hepatotropic virus coinfection model. J Immunol. 2005, 175 (10): 6275-6285.PubMedView ArticleGoogle Scholar
- Borkow G, Teicher C, Bentwich Z: Helminth-HIV Coinfection: Should We Deworm?. Plos Neglect Trop Dis. 2007, 1 (3): 10.1371/journal.pntd.0000160.Google Scholar
- Haukisalmi V, Henttonen H, Tenora F: Population dynamics of common and rare helminths in cyclic vole populations. J Anim Ecol. 1988, 57: 807-826. 10.2307/5094.View ArticleGoogle Scholar
- Bernshtein AD, Apekina NS, Mikhailova TV, Myasnikov YA, Khlyap LA, Korotkov YS, Gavrilovskaya IN: Dynamics of Puumala hantavirus infection in naturally infected bank voles (Clethrionomys glareolus). Arch Virol. 1999, 144 (12): 2415-2428. 10.1007/s007050050654.PubMedView ArticleGoogle Scholar
- Gliwicz J, Ims RA: Dispersal in the bank vole. Polish Journal of Ecology. 2000, 51-61.Google Scholar
- Mills JN, Childs J, Ksiazek TG, Peters CJ, Velleca WM: Methods for trapping and sampling small mammals for virologic testing. 1995, Atlanta: Centers for Disease Control and PreventionGoogle Scholar
- Willett WC: Nutritional epidemiology. 1998, New York: Oxford University PressView ArticleGoogle Scholar
- Lundkvist AI, Fatouros A, Niklasson B: Antigenic variation of European haemorrhagic fever with renal syndrome virus strains characterized using bank vole monoclonal antibodies. J Gen Virol. 1991, 72: 2097-2103. 10.1099/0022-1317-72-9-2097.PubMedView ArticleGoogle Scholar
- Korva M, Duh D, Saksida A, Trilar T, Avsic-Zupanc T: The hantaviral load in tissues of naturally infected rodents. Microbes Infect. 2009, 11: 344-351. 10.1016/j.micinf.2008.12.016.PubMedView ArticleGoogle Scholar
- Burnham KP, Anderson DR: Model selection and inference. A practical information-theoretic approach. 1998, New York: HeidelbergView ArticleGoogle Scholar
- Johnson JB, Omland KS: Model selection in ecology and evolution. Trends Ecol Evol. 2004, 19: 101-108. 10.1016/j.tree.2003.10.013.PubMedView ArticleGoogle Scholar
- McCullagh P, Nelder JA: Generalized linear models. 1989, Chapman and Hall, LondonView ArticleGoogle Scholar
- Crawley MJ: Glim for ecologists. 1993, Blackwell, Oxford, U.KGoogle Scholar
- Thioulouse J, Chessel D, Dolédec S, Olivier JM: ADE-4: a multivariate analysis and graphical display software. Stat Comput. 1997, 7: 75-83. 10.1023/A:1018513530268.View ArticleGoogle Scholar
- Jombart T, Pontier D, Dufour AB: Genetic markers in the playground of multivariate analysis. Heredity. 2009, 102 (4): 330-341. 10.1038/hdy.2008.130.PubMedView ArticleGoogle Scholar
- Haldane JBS: The estimation and significance of the logarithm of a ratio of frequencies. Ann Hum Genet. 1956, 20: 309-311. 10.1111/j.1469-1809.1955.tb01285.x.PubMedView ArticleGoogle Scholar
- Fenton A, Viney ME, Lello J: Detecting interspecific macroparasite interactions from ecological data: patterns and process. Ecol Lett. 2010, 13 (5): 606-615. 10.1111/j.1461-0248.2010.01458.x.PubMedView ArticleGoogle Scholar
- Furze RC, Hussell T, Selkirk ME: Amelioration of influenza-induced pathology in mice by coinfection with Trichinella spiralis. Infect Immun. 2006, 74 (3): 1924-1932. 10.1128/IAI.74.3.1924-1932.2006.PubMedPubMed CentralView ArticleGoogle Scholar
- Liesenfeld O, Dunay IR, Erb KJ: Infection with Toxoplasma gondii reduces established and developing Th2 responses induced by Nippostrongylus brasiliensis infection. Infect Immun. 2004, 72 (7): 3812-3822. 10.1128/IAI.72.7.3812-3822.2004.PubMedPubMed CentralView ArticleGoogle Scholar
- Graham AL, Cattadori IM, Lloyd-Smith JO, Ferrari MJ, Bjornstad ON: Transmission consequences of coinfection: cytokines writ large?. Trends Parasitol. 2007, 23 (6): 284-291. 10.1016/j.pt.2007.04.005.PubMedView ArticleGoogle Scholar
- Behnke JM: Structure in parasite component communities in wild rodents: predictability, stability, associations and interactions .... or pure randomness?. Parasitology. 2008, 135 (7): 751-766. 10.1017/S0031182008000334.PubMedView ArticleGoogle Scholar
- Behnke JM, Bajer A, Harris PD, Newington L, Pidgeon E, Rowlands G, Sheriff C, Kulis-Malkowska K, Sinski E, Gilbert FS, et al: Temporal and between-site variation in helminth communities of bank voles (Myodes glareolus) from NE Poland. 1. Regional fauna and component community levels. Parasitology. 2008, 135 (8): 985-997.PubMedGoogle Scholar
- Haukisalmi V, Henttonen H: Co-existence in helminths of the bank vole Clethrionomys glareolus. I. Patterns of co-occurrence. J Anim Ecol. 1993, 62: 221-229. 10.2307/5353.View ArticleGoogle Scholar
- Haukisalmi V, Henttonen H: Co-existence in helminths of the bank vole Clethrionomys glareolus. II. Intestinal distributions and interspecific interactions. J Anim Ecol. 1993, 62: 230-238. 10.2307/5354.View ArticleGoogle Scholar
- Haukisalmi V, Henttonen H: Helminth dynamics and community structure in the bank vole Clethrionomys glareolus. Polish J Ecol. 2000, 48: S219-S230.Google Scholar
- Deter J, Chaval Y, Galan M, Henttonen H, Laakkonen J, Voutilainen L, Ribas Salvador A, Bryja J, Morand S, Cosson JF, et al: Association between the DQA MHC class II gene and Puumala virus infection in the specific reservoir Myodes glareolus. Infect Genet Evol. 2008, 8: 450-458. 10.1016/j.meegid.2007.07.003.PubMedView ArticleGoogle Scholar
- Soveri T, Henttonen H, Rudback E, Schildt R, Tanskanen R, Husu-Kallio J, Haukisalmi V, Sukura A, Laakkonen J: Disease patterns in field and bank vole populations during a cyclic decline in central Finland. Comp Immunol Microbiol Infect Dis. 2000, 23 (2): 73-89. 10.1016/S0147-9571(99)00057-0.PubMedView ArticleGoogle Scholar
- Olsson GE, White N, Hjalten J, Ahlm C: Habitat factors associated with bank voles (Clethrionomys glareolus) and concomitant hantavirus in northern Sweden. Vector Borne Zoonotic Dis. 2005, 5 (4): 315-323. 10.1089/vbz.2005.5.315.PubMedView ArticleGoogle Scholar
- Hardestam J, Karlsson M, Falk KI, Olsson G, Klingstrom J, Lundkvist A: Puumala hantavirus excretion kinetics in bank voles. Emerg Infect Dis. 2008, 14 (8): 1209-1215. 10.3201/eid1408.080221.PubMedPubMed CentralView ArticleGoogle Scholar
- Kallio ER, Begon M, Henttonen H, Koskela E, Mappes T, Vaheri A, Vapalahti O: Hantavirus infections in fluctuating host populations: the role of maternal antibodies. Proc Roy Soc Lond, B. 2010, 277: 3783-3791. 10.1098/rspb.2010.1022.View ArticleGoogle Scholar
- Kuenzi AJ, Douglass RJ, Bond CW, Calisher CH, Mills JN: Long-term dynamics of Sin Nombre viral RNA and antibody in deer mice in Montana. J Wildl dis. 2005, 41 (3): 473-481.PubMedView ArticleGoogle Scholar
- Kallio ER, Poikonen A, Vaheri A, Vapalahti O, Henttonen H, Koskela E, Mappes T: Maternal antibodies postpone hantavirus infection and enhance individual breeding success. Proc Biol Sci. 2006, 273 (1602): 2771-2776. 10.1098/rspb.2006.3645.PubMedPubMed CentralView ArticleGoogle Scholar
- McSorley HJ, Loukas A: The immunology of human hookworm infections. Parasite Immunol. 2010, 32 (8): 549-559.PubMedGoogle Scholar
- Schoenrich G, Rang A, Lütteke N, Raftery MJ, Charbonnel N, Ulrich RG: Hantavirus-induced immunity in rodent reservoirs and humans. Immunol Rev. 2008, 225: 163-189. 10.1111/j.1600-065X.2008.00694.x.View ArticleGoogle Scholar
- Morimoto M, Zhao AP, Sun R, Stiltz J, Madden KB, Mentink-Kane M, Ramalingam T, Wynn TA, Urban JF, Shea-Donohue T: IL-13 Receptor alpha 2 Regulates the Immune and Functional Response to Nippostrongylus brasiliensis Infection. J Immunol. 2009, 183 (3): 1934-1939. 10.4049/jimmunol.0804299.PubMedPubMed CentralView ArticleGoogle Scholar
- Reece JJ, Siracusa MC, Southard TL, Brayton CF, Urban JF, Scott AL: Hookworm-induced persistent changes to the immunological environment of the lung. Infect Immun. 2008, 76 (8): 3511-3524. 10.1128/IAI.00192-08.PubMedPubMed CentralView ArticleGoogle Scholar
- Erb KJ, Trujillo C, Fugate M, Moll H: Infection with the helminth Nippostrongylus brasiliensis does not interfere with efficient elimination of Mycobacterium bovis BCG from the lungs of mice. Clinic Diagn Lab Immunol. 2002, 9 (3): 727-730.Google Scholar
- Guivier E, Galan M, Male PJ, Kallio ER, Voutilainen L, Henttonen H, Olsson G, Lundkvist A, Tersago K, Augot D, et al: Associations between Major Histocompatibility Complex genes and PUUV infection in Myodes glareolus are detected in wild populations but not from experimental infection data. J Gen Virol. 2010, 91: 2507-2512. 10.1099/vir.0.021600-0.PubMedView ArticleGoogle Scholar
- Kloch A, Babik W, Bajer A, Sinski E, Radwan J: Effects of an MHC-DRB genotype and allele number on the load of gut parasites in the bank vole Myodes glareolus. Mol Ecol. 2010, 19: 255-265. 10.1111/j.1365-294X.2009.04476.x.PubMedView ArticleGoogle Scholar
- Guivier E, Galan M, Ribas Salvador A, Xuéreb A, Chaval Y, Olsson G, Essbauer S, Henttonen H, Voutilainen L, Cosson JF, et al: Tnf-α expression and promoter sequences reflect the balance of tolerance/resistance to Puumala virus infection in European bank vole populations. Infect Genet Evol. 2010, 10 (8): 1208-1217. 10.1016/j.meegid.2010.07.022.PubMedView ArticleGoogle Scholar
- Olsson GE, White N, Ahlm C, Elgh F, Verlemyr AC, Juto P, Palo RT: Demographic factors associated with hantavirus infection in bank voles (Clethrionomys glareolus). Emerg Infect Dis. 2002, 8 (9): 924-929.PubMedPubMed CentralView ArticleGoogle Scholar
- Augot D, Muller D, Demerson JM, Boue F, Caillot C, Cliquet F: Dynamics of Puumala virus infection in bank voles in Ardennes department (France). Pathol Biol. 2006, 54 (10): 572-577. 10.1016/j.patbio.2006.07.039.PubMedView ArticleGoogle Scholar
- Kim D-K, Joo K-H, Chung M-S: Changes of cytokine mRNA expression and IgG responses in rats infected with Capillaria hepatica. Korean J Parasitol. 2007, 45 (2): 95-102. 10.3347/kjp.2007.45.2.95.PubMedPubMed CentralView ArticleGoogle Scholar
- Stetson DB, Medzhitov R: Type I interferons in host defense. Immunity. 2006, 25: 373-381. 10.1016/j.immuni.2006.08.007.PubMedView ArticleGoogle Scholar
- Raftery MJ, Winau F, Giese T, Kaufmann SH, Schaible UE, Schonrich G: Viral danger signals control CD1d de novo synthesis and NKT cell activation. Eur J Immunol. 2008, 38: 668-679. 10.1002/eji.200737233.PubMedView ArticleGoogle Scholar
- Haukisalmi V, Henttonen H: The impact of climatic factors and host density on the long-term population-dynamics of vole helminths. Oecologia. 1990, 83 (3): 309-315.View ArticleGoogle Scholar
- Guernier V, Hochberg ME, Guegan JF: Ecology drives the worldwide distribution of human diseases. PLoS Biol. 2004, 2 (6): e141-10.1371/journal.pbio.0020141.PubMedPubMed CentralView ArticleGoogle Scholar
- Hudson PJ, Cattadori IM, Boag B, Dobson AP: Climate disruption and parasite-host dynamics: patterns and processes associated with warming and the frequency of extreme climatic events. J Helminthol. 2006, 80 (2): 175-182. 10.1079/JOH2006357.PubMedView ArticleGoogle Scholar
- Behnke JM, Bajer A, Harris PD, Newington L, Pidgeon E, Rowlands G, Sheriff C, Kulis-Malkowska K, Sinski E, Gilbert FS, et al: Temporal and between-site variation in helminth communities of bank voles (Myodes glareolus) from N.E. Poland. 1. Regional fauna and component community levels. Parasitology. 2008, 135 (8): 985-997.PubMedGoogle Scholar
- Guivier E: Variabilité de la résistance.tolérance des campagnols roussâtres à l'hantavirus Puumala et conséquences épidemiologiques. PhD thesis. Université Montpellier 2, Montpellier, France, 161-Google Scholar
- van Apeldoorn RC, Oostenbrink WT, van Winden A, van der Zee FF: Effects of habitat fragmentation on the bank vole, Clethrionomys glareolus, in an agricultural landscape. Oikos. 1992, 65: 265-274. 10.2307/3545018.View ArticleGoogle Scholar
- Stearns SC: The evolution of life-histories. 1992, Oxford: Oxford University pressGoogle Scholar
- Lee KA, Klasing KC: A role for immunology in invasion biology. Trends Ecol Evol. 2004, 19 (10): 523-529. 10.1016/j.tree.2004.07.012.PubMedView ArticleGoogle Scholar
- Martin LB, Weil ZM, Kuhlman JR, Nelson RJ: Trade-offs within the immune systems of female white-footed mice, Peromyscus leucopus. Funct Ecol. 2006, 20: 630-636. 10.1111/j.1365-2435.2006.01138.x.View ArticleGoogle Scholar
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