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We present classical and hybrid modeling approaches for genetic regulatory networks focusing on promoter analysis for negatively and positively autoregulated networks. The main aim of this thesis is to introduce an alternative mathematical approach to model gene regulatory networks based on piecewise deterministic Markov processes (PDMP). During somitogenesis, a process describing the early segmentation in vertebrates, molecular oscillators play a crucial role as part of a segmentation clock. In mice, these oscillators are called Hes1 and Hes7 and are commonly modeled by a system of two delay differential equations including a Hill function, which describes gene repression by their own gene products. The Hill coefficient, which is a measure of nonlinearity of the binding processes in the promoter, is assumed to be equal to two, based on the fact that Hes1 and Hes7 form dimers.However, by standard arguments applied to binding analysis, we show that a higher Hill coefficient is reasonable. This leads to results different from those in literature which requires a more sophisticated model. For the Hes7 oscillator we present a system of ordinary differential equations including a Michaelis-Menten term describing a nonlinear degradation of the proteins by the ubiquitinpathway. As demonstrated by the Hes1 and Hes7 oscillator, promoter behavior can have strong influence on the dynamical behavior of genetic networks. Since purely deterministic systems cannot reveal phenomenons caused by the inherent random fluctuations, we propose a novel approach based on PDMPs. Such models allow to model binding processes of transcription factors to binding sites in a promoter as random processes, where all other processes like synthesis, degradation or dimerization of the gene products are modeled in deterministic manner. We present and discuss a simulation algorithm for PDMPs and apply it to three types of genetic networks: an unregulated gene, a toggle switch, and a positively autoregulated network. The different regulation characteristics are analyzed and compared by numerical means. Furthermore, we determine analytical solutions of the stationary distributions of one negatively, and three positively autoregulated networks. Based on these results, we analyze attenuation of noise in a negative feedback loop, and the question of graded or binary response in autocatalytic networks.
A slice is an intersection of a hyperplane and a self-similar set. The main purpose of this work is the mathematical description of slices. A suitable tool to describe slices are branching dynamical systems. Such systems are a generalisation of ordinary discrete dynamical systems for multivalued maps. Simple examples are systems arising from Bernoulli convolutions and beta-representations. The connection between orbits of branching dynamical systems and slices is demsonstrated and conditions are derived under which the geometry of a slice can be computed. A number of interesting 2-d and 3-d slices through 3-d and 4-d fractals is discussed.
For many years, rangeland ecologists have debated about whether the state of semi-arid and arid rangelands is the expression of an ecological equilibrium or non-equilibrium dynamics reached in response to grazing livestock. Since the problem has been considered at different spatial scales, it is recognised that the competing concepts of equilibrium and non-equilibrium dynamics need to be integrated. Furthermore, the role of environmental variables as vegetation driving factors has long been ignored in the discussion on grazing effects on ecosystems. Present thesis, examines the dependence of plant communities on environmental in particular site-ecological conditions in three ecosystems of Western Mongolia established along a precipitation gradient to detect the vegetation-driving ecological factors involved. Furthermore, grazing impact is exemplary assessed in a desert steppe at additional spatial scales of plant communities and population. At the landscape level, a classification of plant communities in dependence on environmental conditions is carried out. Additionally, the investigations focused on the impact of grazing on soil and on the occurrence of grazing-mediated plant communities. Data were sampled along an altitudinal gradient between 1150 m to 3050 m a.s.l. from arid lowland with desert steppe via semi-arid mountain steppe to humid alpine belt. Within each altitudinal belt, data sampling was carried out along grazing gradients, established from grazing hot spots to areas distant from them. By means of an environmentally based vegetation classification, factors with highest explanation values for largest variation in vegetation were identified and considered as most responsible for vegetation patterns. To validate and affirm the classification, three different statistical methods are applied: environmentally adjusted table work of vegetation relevés supported by cluster analysis of species distribution, detrended correspondence analysis of vegetation data separately from environmental data, and the principle component analysis of only environmental data. Vegetation-driving factors change along the altitudinal gradient from abiotic forces in the desert steppe, as e.g. altitude and soil texture, to abiotic and biotic forces in the alpine belt represented by soil texture, soil nutrients and grazing. Vegetation and soil of all ecosystems respond to grazing but with different patterns and to a different extent. While desert steppe does not indicate grazing communities, mountain steppe demonstrates grazing communities at fertilised sites and alpine belt at nutrients depleted sites. Thus, the grazing sensitiveness of the ecosystems is assumed to be linked with plant productivity and the role of vegetation as site-determining factor (Chapter 2). To examine grazing impact at lower spatial scales on desert steppe as the ecosystem with lowest grazing sensitiveness at the landscape scale, at community scale the total number of species, the total vegetation cover, the percentage of annual species, the cover of annual species, and properties of soil nutrient along gradients of grazing intensity within three different communities were assessed. Vegetation parameters respond to grazing in different ways, and the responses of the same parameters vary between plant communities. Correlations with grazing intensity indicate only partly statistical significance. Significant correlations of grazing intensity with concentrations of soil nutrient point to eutrophication in two communities. A comparison of vegetation and soil properties refers to a greater indirect influence of grazing via increased soil nutrients than the direct effect on vegetation (Chapter 4). At the population level, data about stand density, aboveground biomass, individual plant weight, and the proportion of flowering plants of the dominant dwarf semi-shrub Artemisia xerophytica were collected along a grazing gradient. Soil data were used to distinguish between grazing and edaphic influences. All parameters of Artemisia xerophytica reflect the assumed gradient of grazing intensity up to 800 m distance from the grazing hot spot. As grazing pressure decreases, plant density and total biomass per plot increase. The average shrub weight, an indicator of plant vitality, is related to both: distance from the grazing hot spot and stand density, which may be explained by additional intraspecific competition at higher densities. At a longer distance, these effects are masked by variations in soil parameters determining water availability, leading to quite similar degradation forms. These results are in contrast to other studies carried out at the scale of plant communities which did not detect significant changes along a grazing gradient. One explanation is the different map scale: the study took place only within a single plant community comparing populations of one species (Chapter 3). The comparative study demonstrates that even arid desert steppes of western Mongolia display equilibrial and non-equilibrial properties, depending on the observational scale: while no grazing mediated plant communities could be identified at the landscape scale as predicted by the non-equlilibrium model, at the community level vegetation parameters imply an intermediate position between equilibrium and non-equilibrium system. At the population level, the results clearly reflect the grazing gradient as predicted by the equilibrium model (Chapter 4). As a consequence, the assessment of vegetation dynamics and grazing impact in rangelands requires a multiple-scale approach that duly considers different vegetation properties responding differently to grazing, climatic and edaphic variability at different spatial scales. It is further suggested, that future research should draw comparisons between landscapes that co-evolved with herbivory, and those that did without (Chapter 4).
In this thesis we have revisited the formation of the excitonic insulator (EI), which realizes an exciton condensate. In contrast to optically created exciton condensates, the EI forms in thermal equilibrium and is solely driven by the Coulomb attraction between electrons and holes. The EI phase is anticipated to occur near the semimetal-semiconductor (SM-SC) transition at low temperatures. Depending from which side the EI is approached, it forms due to a BCS-type condensation of electron-hole pairs or a Bose-Einstein condensation (BEC) of excitons. The extended Falicov-Kimball model (EFKM) is the minimal model the EI can be described with. This model describes spinless fermions in two dispersive bands (f band and c band), that interact via a local Coulomb repulsion. The EFKM is also used to describe electronic ferroelectricity (EFE). Both phases, the EI and EFE-type ordering, are characterized by a spontaneous f-c hybridization in the EFKM. We have presented the EI phase, the EFE phase, and the orderings they compete with. Moreover, we have determined the ground-state phase diagram of the EFKM. We have focused particularly on the anticipated BCS-BEC crossover within the EI and have analyzed the formation scenarios. The exciton spectrum and the exciton density in the normal phase close to the critical temperature give information about relevant particles and therefore the nature of the transition. We have demonstrated that the whole EI is surrounded by a halo", that is, a phase composed of electrons, holes and excitons. However, on the SM side, only excitons with a finite momentum exist. These excitons appear only in a small number and barely influence the SM-EI transition. This phase transition is driven by critical electron-hole fluctuations, generated by electrons and holes at the Fermi surface. On the SC side, excitons with arbitrary momenta exist. Most notably, we have found the number of zero-momentum excitons to diverge at the SC-EI transition, signaling the BEC of these particles. Within the EI phase, there is a smooth crossover from the BCS regime to the BEC regime. One of the promising candidates to observe the EI experimentally, is the transition-metal dichalcogenide 1T-TiSe2. Strong evidences were found favoring an EI scenario of the charge-density-wave (CDW) formation in this material. However, some aspects point to a lattice instability to drive the CDW transition. We have addressed this issue by analyzing the recently discovered chiral property of the CDW in 1T-TiSe2. We have found that the EI scenario is insufficient to explain a stable, long range chiral charge ordering. Lattice degrees of freedom must be taken into account. In particular, nonlinear electron-phonon coupling and phonon-phonon interaction are crucial. By estimating appropriate model parameters for 1T-TiSe2, we have suggested a combination of excitonic and lattice instability to drive the CDW transition in this material. Experiments in 1T-TiSe2 and other materials suggest that the coupling to the lattice is non-negligible. We have extended therefore the model by an explicit exciton-phonon interaction, and have analyzed crucial effects of this interaction. While the single-particle spectrum is not modified qualitatively, the electron-hole pair spectrum changes significantly. The inclusion of the phonons lead to a massive collective mode in the ordered ground state in contrast to the case for vanishing exciton-phonon coupling, where the mode is acoustic. We have suggested that a gapless collective mode leads to off-diagonal long range order. This questions that the ground state for finite exciton-phonon coupling represents a condensate.
Bats belong to the most gregarious and diverse mammals with highly complex social behaviors. Despite extensive research on their ecology and social behavior in some bat species, gained insights are restricted to only few of the more than 1300 species. In the recent past, bats have also become a central topic of a different branch of research: Since the 1990s bats came to the fore of virologists and immunologists due to the bats’ apparent importance as reservoir hosts and vectors of several (mostly tropical) diseases. While this research is focused mainly on emerging infectious diseases linked to bats, and their zoonotic potential, little has been invested regarding the link between disease transmission and bat social systems.
In my work, I aim at filling this gap by merging automated daily roosting observations, social network analysis, and a virological screening in Natterer’s bats (Myotis nattereri). In a collaborative approach, my co-workers and I analyzed the social structure of individually marked Natterer’s bats, their astrovirus detection rate and transmission pathways within their colony, as well as roosting interactions between different co-occurring con- and heterospecific bat colonies.
We discovered Natterer’s bats to display a very divergent social network structure that contradicts the findings of previous studies on large fission-fusion groups. Contrary to the modular social network structure found in e.g. primates or other bats species, the social network of Natterer’s bats consists of only one highly interconnected community. Moreover, although the close proximity between bat hosts in the colony should strongly promote direct transmission, we found indications that astrovirus infections follow at least partly an indirect transmission pathway via contaminated roost use. Lastly, our results prove that co-occurring con- and heterospecific bat colonies, e.g. as in this study Natterer’s bats, brown long-eared bats and Bechstein’s bats, can influence each other in their roost use by avoiding conspecific roosts and by being attracted towards those of heterospecifics. This holds implication for the transmission of parasites and pathogens within and between different colonies with opportunities for spillovers. To conclude, this multidisciplinary study led to valuable insights in the hitherto hidden mechanisms within and among bat colonies.
Liu–II coal pit is a typical example of China’s deep coal mines which is seriously threatened by groundwater inrush from the underlying carboniferous Taiyuan limestone formation. An exhaustive data set of this confined aquifer exists. The aquifer lies 45 m∼ 60 m below the major coal seam. A traditional artesian aquifer test has been performed in order to assess the hydraulic properties, e.g. transmissivity (T) and storage coefficient (S). This artesian aquifer test is conducted with four simultaneously operating production wells while the discharge of each production well varied with time. The results of this test suggest that the aquifer is heterogeneous. Therefore, the according problems are: (1) how to analyze the artesian aquifer test with linearly declining discharge; (2) how to deal with multiple production wells in an aquifer test; (3) how to adequately consider aquifer heterogeneity. Thus, the objective of this thesis is to solve these problems. 1) As opposed to classical above-ground pumping tests, it is difficult to control the discharge rate of the production well in a deep mine artesian aquifer test since the hydraulic pressure is extraordinary high. Moreover the discharge rate won’t descend rapidly to zero, thus the analytical solution of Jacob and Lohman (1952) type curve for the artesian aquifer test will not be applicable. It is more reasonable to analyze the test as a pumping test with variable discharge. It is considered to rebuild a hydrogeological conceptual model which is similar with Theis (1935) model but with the variable discharge. A general equation for any discharge variability is given. Its application for the linearly declining discharge is presented subsequently, and a type curve of this equation with linearly declining discharge is given as well. After that, a simple numerical model is built by FEFLOW to simulate an artificial pumping test with the linearly declining discharge by assigning different parameter sets for transmissivity and storage coefficient. The type curve method is applied to evaluate transmissivity and storage coefficient for the linearly declining discharge well. The deviation between the given values of transmissivity and storage coefficient in FEFLOW and the values of those calculated by matching point are sufficiently small. Thus, when the discharge of production well declines linearly, a type curve method as an empirical method is reasonable and gives satisfactory values of these hydrogeological parameters. 2) In some cases, it is necessary to conduct a pumping test (or an artesian aquifer test) with several pumping wells (or production wells) which work simultaneously in order to discharge maximum quantity of groundwater. Normally, the superposition method or numerical simulation is applied to analyze the test result. However, a new approach called “Well Generalization Method” is defined and analyzed in this thesis. It is an easy–to–use approach for hydrogeologist to estimate the aquifer parameters while conducting an aquifer test. Since the key point of this approach is using a generalization well to substitute the pumping (or production) wells, it is obvious that this approach will generate the estimated error of parameters. Accordingly, several scenarios are analyzed and discussed based on the artificial type aquifer designed in FEFLOW. A homogeneous aquifer and a heterogeneous aquifer which is generated by geostatistical stochastic simulation technique (see 3)) are discussed separately. As a result, this approach is feasible and applicable under some conditions when the calculated observation well is arranged more than about 2.5 times the scale of the multi–pumping–wells field away from the center of the multi–pumping–wells field, furthermore, the maximum deviation of drawdown resulting from these observation wells will be less than 0.5 m, and the estimated value of transmissivity will be 0.44% smaller than real value. 3) Finally aquifer heterogeneity is addressed, in order to check the introduced method for applicability under realistic conditions. It has been described that aquifer heterogeneity plays a major role in hydrodynamic processes (e.g. de Marsily et al., 1998). Geostatistics which is considered as a useful tool for characterizing the spatial variability of transmissivity is applied to solve this problem. Based on the results of the artesian aquifer test conducted in Liu–II coal pit, a model of spatial variability of transmissivity is developed. Sequentially, the variogram model is applied in ordinary kriging to interpolate the transmissivity distribution, and in sequential Gaussian simulation to simulate a random field of transmissivity data in order to reflect its small scale variability. A comparison of the results of estimation and simulation of transmissivity indicates that the simulated values better reflect the spatial variability, reversely, the estimated values are much smoother.
All types of muscles use Ca2+ as their main intracellular messenger. In skeletal muscle fibers abnormal levels of intracellular calcium result in altered contractile properties, altered energy metabolism, and altered gene expression. Moreover, long term failure of normal Ca2+ homeostasis can lead to cell death of muscle fibers by necrosis and apoptosis. Elevations of intracellular Ca2+ levels are more and more regarded as the reason for pathological changes and muscle fiber damage in Duchenne Muscular Dystrophy (DMD). DMD is a severe recessive x-linked muscle disease caused by mutations in the dystrophin gene. The characteristics of DMD are muscle tissue wasting and fibrosis. Both muscle wasting and intracellular Ca2+ are to be reflected in changes of muscle force. Several Ca2+ conducting channels including transient receptor potential (TRP) channels are supposed to account for the abnormal Ca2+ homeostasis in DMD. Gene expressions of TRP channels have been studied in human and mouse skeletal muscle and among others TRPC3, TRPC6 and TRPV4 channels were found to occur in skeletal muscles. The present study followed the hypothesis that TRPC3, TRPC6 and TRPV4 are functional in skeletal muscle fibers and that they contribute to muscular Ca2+ homeostasis. Further, it was assumed that dysfunction of the mentioned TRP channels contributes to abnormal contractile properties and pathology and of dystrophin-deficient muscle. To study Ca2+ changes in mouse skeletal muscle fibers the fluorescent calcium indicator Fura-2 was used. Further, the technique of Mn2+ quench of Fura-2 fluorescence was applied. Muscle force measurements of mouse soleus and diaphragm strips were performed. To elucidate abnormalities of TRP channel function in dystrophin-deficient muscle, muscles and muscle fibers of mdx mice were studied. Hyperforin, an activator of TRPC6 channels elicited increases of calcium levels in wildtype muscle fibers. These increases were partly inhibited by the TRPC6 inhibitor 1-(5-chloronaphthalenesulfonyl) homopiperazine hydrochloride (ML-9). The TRPC3/TPRC6 activator 1-oleoyl-2-acetyl-sn-glycerol (OAG) resulted in increased calcium entry, which was attenuated by ML-9. 2-aminoethoxydiphenylborane (2-APB), an unspecific TRP channel inhibitor, suppressed calcium entry in muscle fibers under basal conditions. In addition, the specific TRPC3 inhibitor Pyr3, strongly inhibited background calcium entry. The TRPV4 activator 4α-phorbol 12,13-didecanoate (4α-PDD) induced significant increased calcium entry and this increase could be inhibited by the TRPV4 inhibitor HC 067047. During muscle force recordings ML-9 significantly inhibited twitches and tetani and accelerated muscle fatigue during sustained repetitive stimulation. The results indicate that TRPC3, TRPC6 and TRPV4 are functionally expressed in mouse muscle fibers. TRPC3 stays active under the basal conditions and contributes to background calcium entry. In contrast, TRPC6 and TRPV4 did not seem to be active at resting conditions, but could be pharmacologically activated. TRPC6 may play a role to counteract the calcium loss under long-term muscle fatigue. Though TRPC3 and C6 play a role for muscular Ca2+ homeostasis, it is unclear whether and how the two channels associate and cross-talk with each other in skeletal muscle cells. In mdx fibers Pyr3 inhibited background calcium influx stronger that in WT fibers, implying a possible over-activation of TRPC3 channels in mdx muscle fibers. At later stages mdx muscle showed marked decrease in force reflecting muscle wasting. Soleus showed moderate decrease and diaphragm showed severe decrease (more than 60%) in force. Resistance to muscle fatigue was shown in mdx soleus muscle when compared with WT soleus muscle. Diaphragm segments of mdx mice showed very strong resistance to muscle fatigue. The results indicate a substantial loss of muscle mass, an increase in oxidative fiber types and a reduction of fast fatigable muscle fibers. It is concluded that the hypothesis of functional expression of TRPC3, TRPC6 and TRPV4 in mouse skeletal muscle has been confirmed. The results give improved knowledge about the relation of Ca2+ homeostasis, mdx pathology and TRP channels. Diaphragms of old mdx mice show severe muscle weakness but the remaining fibers of the diaphragm showed strong fatigue-resistance. The application of a TRPC3 inhibitor may be a promising treatment to prevent high Ca2+ mediated muscle damage in muscular dystrophy.
Recent climate change has affected the forest system comprehensively. Northern hemisphere elevational treelines are considered as a key environment for monitoring the effects of current anthropogenic climate change. Moreover, trees from these areas are also widely employed in paleo-climate reconstructions. The stability of the tree growth climate relationship under current scenario is crucial for all tree ring based climate researches. It is important to investigate how trees respond to this rapid environmental change at altitudinal treelines. Tree cores from 21 treeline sites of three species (Pinus tabulaeformis, Picea crassifolia, and Sabina przewalskii) from Northeastern Tibetan have been conducted in this thesis. The instable correlations between tree growth and climate are the general response pattern of trees from all study sites in NE Tibetan Plateau. Picea crassifolia shows the most instable response to climate factors (mean monthly temperature and total monthly precipitation). Pinus tabulaeformis and Sabina przewalskii just showed instable and divergent responses to their main limiting climate factors but no clear trend was found which is limited by the few sample sites. Corresponding to divergent responses of Picea crassifolia to mean monthly temperature, most radial growth of Picea crassifolia were inhibited by this climate change type drought, only few trees within same sites grew faster due to temperature increasing during recent decades. The divergence response mainly started in last 30 years in six of eleven sample sites over the Northeastern Tibetan Plateau. North-westerly drier sites showed a large percentage of trees per site with a negative correlation to temperature and mostly southerly moister sites showed more mixed responses with both negatively and positively responding trees within site. Concurrent with the regional pattern, low elevation sites show mostly negative correlations with temperature and high elevation sites show more mixed responses. As the hydrothermal conditions of the investigation area changed to a drier and warmer combination, drought stress on tree growth have been intensifying over time and expanding spatially from the middle to most of our study area during the last half century. The Picea crassifolia tree growth climate relationship conducted on an elevational gradient with four different levels from upper treeline to lower treeline at the NE Tibetan Plateau. Results show that upper treeline trees show divergent growth trends and divergent responses in recent decades. Trees from lower treeline show a strengthening drought stress signal over time and no divergent growth trends within sites. This potential ecological reaction of tree populations to changing environmental conditions shows an implications for using trees to reconstruct climate, since the indiscriminate use of tree ring data from sites showing opposite responses to increasing warming could cause mis-calibration of tree ring based climate reconstructions, and over- or underestimation of carbon sequestration potential in biogeochemical models. The physiological response of Sabina przewalskii tree growth to major limiting climate factors based on the Vaganov-Shashkin (VS) model indicated that precipitation during the early growing season, especially in May and June, has significant effect on tree growth, while temperature mainly affects tree growth by warming-induced drought and by extending the growing season in the NE Tibetan Plateau. Under current and projected climate scenarios, modeling results predict an increase in radial growth of Sabina przewalskii around the Qaidam Basin, with the potential outcome that regional forests will increase their capacity to sequester carbon. However, most Picea crassifolia trees growing at lower elevations than Sabina przewalskii might be continue stressed by the warming induced drought and might decrease radial growth in future.
Bats (Chiroptera) form the second largest order of mammals and with over 1,250 species, they represent about 20% of all mammalian species worldwide. They are the only mammals with true and sustained flight and distributed all over the world except the arctic regions. Moreover, bats entered specific ecological niches and with their food spectra, they reduce different arthropod populations as well as disperse seeds and pollen of plant species in various regions and habitats.
Bats also have a crucial role in spreading high-pathogenic and zoonotic viruses, harbor in general more viruses (zoonotic and non-zoonotic), and, related to the species, number even more than rodents. However, clinical symptoms of viral diseases are rarely reported in bat communities. Also seroconversions after infection were not reported for a variety of viruses found in bats. Since the incidence of virus-positive bats estimated in passive surveillance studies is usually very low, it is a question how such viruses can use bats as reservoir hosts. There is obviously a special evolutionary relationship between the pathogens and bats as hosts, which are based on possibly physiologic adaptations also in resistance and immunity.
In this thesis, the two lyssaviruses, European Bat Lyssavirus 1 and 2 (EBLV-1 and -2) were chosen as a model to investigate the immune response of European bats against viral infection in vitro. Lyssaviruses are the causative agents of rabies, a fatal zoonotic disease with neurotropic characteristics.
One main question to investigate was in which way bats act as reservoir host and developed a high disease resistance. The present thesis is based on three hypotheses about innate immune response against lyssavirus infection:
A) In bats specific peripheral resistance mechanisms evolved which reduce the risk of systemic viral infection after a hypothesized airborne transmission and infection via nasal epithelium supported by the social structure of and communication within bat communities.
B) The co-evolution of EBLV and the innate resistance of bats resulted in a very effective type I interferon response to inhibit a systemic lyssavirus infection.
C) The specific physiology of body temperature of bats with daily torpor depresses the viral replication but favours the type I interferon response.
To analyze the interferon-based resistance mechanisms, the type I interferon (IFN) genes of two European bats species (Eptesicus serotinus and Myotis myotis) were cloned and sequenced. Using established cell lines from the respiratory nasal epithelium (MmNep), olfactory nasal epithelium (MmNol), and Bulbus olfactorius brain (MmBr), the type I IFN response along a possible airborne infection route was investigated. The anti-viral effects and induction of IFNs/interferon stimulated genes (ISGs) in each cell line were also investigated in detail after infection in vitro. Finally, the influence of different temperatures on lyssavirus replication was analyzed in cell culture experiments.
The results indicated that (a) along the hypothesized airborne infection route the susceptibility for lyssavirus infections is decreased, (b) the type I IFN activity in contrast is increased contributing to a limitation of lyssavirus replication and (c) an obvious influences of varying cultivation temperatures on the resistance against lyssavirus infections, which favor the IFN response and repressing lyssavirus replication.
The result from these in vitro studies supports the hypothesis of a special co-evolution between lyssaviruses and bats. However, in vivo studies on the relevance in infected animals are missing so far. This model could also explain the generally limited pathogenicity of bat-associated viruses.
Adaptation mechanisms within the B cell composition for successful human and murine pregnancies.
(2021)
Introduction
A well-balanced immune maternal status is essential for favourable outcome of pregnancy. Due to their complexities, not all immune adaptations that promote tolerance during pregnancy are known. To understand the adaptation of the B cell compartment, we analysed and compared B cell lymphopoiesis in different lymphoid tissues in a number of murine models.
Furthermore, we focused on the humoral immune response during pregnancy. We analysed immunoglobulin profiles in human subjects and mice during pregnancy.
These cellular alterations are subject to the influence of chemokines, among others. Therefore, we assessed serum levels of B cell activation factor to clarify its effects during pregnancy.
Methods
For analysis of the human peripheral B cell compartment, peripheral blood samples from age-matched non-pregnant and pregnant women without pregnancy complications, immunological disease or acute/chronic inflammation were collected and sub-classified into four different groups: non-pregnant, and first, second, or third trimester of pregnancy. The experiments, based on a mouse model, were performed with 8-week-old female mice: clinically healthy non-pregnant (CBA/J (H2k)), pregnant mice with normal gestation (BALB/c (H2d) x CBA/J (H2k)), and mice with pregnancy loss (DBA/2J (H2d) x CBA/J (H2k)). Subsequently, peripheral blood mononuclear cells from blood and lymphatic organs were isolated following standard protocols. The B cell analysis was performed by flow cytometry. The immunoglobulin serum levels of the human and murine subgroups were quantitated using Bio-Plex isotyping assay and analysed by a Bio-Plex reader. To quantify B cell activating factor (BAFF) in serum of pregnant and non-pregnant mice a BAFF enzyme-linked immunosorbent assay was used. The concentrations were determined by using a FLUOstar OPTIMA microplate reader. All statistical analyses were performed using the Kruskal–Wallis test with Dunn’s post-test in GraphPad Prism software. P values of < 0.05 were considered statistically significant.
Results
We were able to demonstrate B cell lymphopenia in mice bone marrow downstream of pre-pro B cells, irrespective of pregnancy outcome. The mature bone marrow B cells did not show this adjustment mechanism during normal gestation.
Closer inspection of the splenic tissue revealed expansion and activation of marginal zone B cells in mice with a normal pregnancy. However, this was not observed in mice suffering from pregnancy disturbances. Natural antibodies secreted from marginal zone B cells were also present at higher concentrations in serum of pregnant mice, compared to non-pregnant animals.
We also found significantly higher levels of natural antibodies in serum of pregnant women compared to non-pregnant age-matched controls. Analysis showed significantly lower levels of BAFF in mice with normal pregnancy as compared to non-pregnant mice.
Conclusions
We are able to show mechanisms within the B cell compartment as well as the change within the natural antibodies that might be crucial for successful pregnancy in both humans and mice. Furthermore, BAFF seems to play a central role as a mediator of peripheral B cell compartment and B cell lymphopoiesis in the bone marrow for successful pregnancy.