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The pollen record is a powerful proxy to reconstruct past terrestrial vegetation, but quantifying plant abundances is strongly limited because plants produce pollen in different amounts and pollen is dispersed differently. Further complications arise from the use of percentage data. Finally, a pollen grain deposited at a site may have arrived from proximate or distant sources, which implies that a single pollen sample may reflect very different vegetation scenarios. Present thesis suggests improving quantitative reconstructions of past vegetation by refined calibration of the pollen-vegetation relationship (paper I) and application of the downscaling approach (papers II-IV). Paper I primarily addresses the questions of pollen production and dispersal by calibrating the pollen-vegetation relationship. Data analysis employs the common extended R-value (ERV) approach and a new data-model comparison method, which appears more suitable than the ERV approach. For the first time PPEs have been calculated using three contrasting pollen dispersal options, including a Lagrangian stochastic (LS) model. The study proves that the underlying pollen dispersal model is a crucial parameter in PPE calculations and that the calculations with the LS model produce more reliable and realistic PPEs. Papers II to IV address quantitative reconstructions of past vegetation. Using the newly developed downscaling approach, the three studies explore fine scaled vegetation patterns in NE Germany during the Late Glacial and early Holocene. The main assumption of the downscaling approach is that the present day pattern of abiotic site conditions (e.g. the pattern of soil substrates) existed, at least to a large extend, also during the study periods. The basic principle of the approach is to test, whether pollen deposition in sites across a landscape is correlated to that site pattern. The first application of the approach (paper II) has shown a close correlation between PINUS pollen percentages and the distance weighted abundance of sandy soils and between BETULA pollen percentages and the distance weighted abundance of morainic till during the Allerød period, indicating that pine and birch formed rather separate stands on either substrate type. The cooling of the Younger Dryas induced significant changes in the vegetation of NE Germany. By combining pollen percentage and pollen accumulation rate data paper III identified a sharp vegetation boundary between the Mecklenburg and Brandenburg area at about 53 °N. The downscaling approach, here used with pollen accumulation rate data, suggests that in the North small tree stands could only exist in sheltered positions. The sharp vegetation boundary is possibly related to a climatic gradient and the southern permafrost limit, which itself may result from the formation of sea ice on the North Atlantic north of 53°N during winter. The warming of the Holocene again allowed the expansion of forests in the study area. Paper IV uses high resolution pollen (accumulation rate) data to study the successive forest formation, including the immigration of hazel, and explores vegetation patterns and composition during these successive stages using the extended downscaling approach. This approach addresses the problems related to differential pollen production, dispersal and the use of percentage data by applying simulations. It reveals that initially pine and birch established, as during the Allerød period, in largely separate stands with pine dominating on sandy soils and birch dominating on fine grained soils. Also open rich vegetation persisted, possibly due to seasonal drought, mainly on fine grained soils. Hazel later mainly spread on sites that received additional wetness from ground or surface water; it did not enter pine dominated forests on well drained sandy soils. Overall, the early Holocene vegetation of the study area was sharply differentiated by soil humidity and fertility. To conclude, present thesis has revealed vegetation patterns and species site preferences in NE Germany during three periods of the Lateglacial and early Holocene. The results improve our understanding of vegetation history in northern Central Europe, specifically for periods of rapid climate change. The approaches applied are flexible with respect to the type and quality of pollen data used and may be implemented using standard software packages.
Reactive oxygen species (ROS) can damage all cellular macromolecules and also produce secondary reactive intermediates, like reactive electrophilic species (RES) that include quinones or aldehydes. Low molecular weight (LMW) thiols are small thiol-containing compounds that play essential roles in the defense against ROS and RES in all organisms. The best studied LMW thiol is the tripeptide glutathione (GSH). Firmicutes bacteria including Bacillus und Staphylococcus species have been recently discovered to utilize the redox buffer bacillithiol (BSH). LMW thiols function as redox buffers to maintain the reduced state of the cytoplasm. Under conditions of oxidative stress, LMW thiols also react with protein thiols to form mixed LMW thiol – protein disulfides, termed S-thiolations, as major protection mechanism. Investigating the role of BSH in oxidative stress response and ROS-induced S-thiolations in Firmicutes bacteria was one subject of this PhD thesis. Specifically, the regulatory mechanisms and post-translational thiol-modifications in response to NaOCl stress were studied in the model bacterium for low-GC Gram-positive bacteria Bacillus subtilis. The transcriptome profile after NaOCl stress was indicative of disulfide stress and overlapped strongly with the response to diamide. NaOCl stress caused induction of the thiol- and oxidative stress-specific Spx, CtsR, PerR and OhrR regulons. Thiol redox proteomics identified only few NaOCl-sensitive proteins with reversible thiol-oxidations. Using mass spectrometry, eleven proteins were identified that were oxidized to mixed BSH protein disulfides (S-bacillithiolated) in B. subtilis cells after NaOCl-exposure. Methionine synthase MetE is the most abundant S-bacillithiolated protein in B. subtilis and other Bacillus species after NaOCl exposure. S-bacillithiolation of OhrR repressor leads to upregulation of the OhrA peroxiredoxin that confers together with BSH specific protection against NaOCl. S-bacillithiolation of MetE, YxjG, PpaC, and SerA causes hypochlorite-induced methionine starvation as supported by the induction of the S-box regulon. To further assess the conservation of targets for S-bacillithiolations in other Firmicutes bacteria, we studied the S-bacillithiolomes of Bacillus megaterium, Bacillus pumilus, Bacillus amyloliquefaciens, and Staphylococcus carnosus under NaOCl stress conditions. In total, 54 S-bacillithiolated proteins were identified, including 29 unique proteins and 8 conserved proteins involved in amino acid and cofactor biosynthesis, nucleotide metabolism, translation, protein quality control, redox and antioxidant functions. Together our data support a major role of BSH redox buffer in redox control and thiol protection of conserved and essential proteins against irreversible oxidation by S-bacillithiolations in Firmicutes bacteria. In response to ROS and RES, bacteria also activate the expression of antioxidant and detoxification enzymes, such as catalases, peroxidases, thiol-dependent peroxiredoxins and other specific oxidoreductases to detoxify ROS and RES. These defense mechanisms are often controlled by redox-sensitive transcription factors. B. subtilis encodes redox-sensing MarR-type regulators belonging to the OhrR and DUF24-families that are conserved among bacteria. Hence, we were further interested in this PhD thesis to study at the molecular and structural level the redox-sensing mechanisms of novel redox-sensing MarR/DUF24-type regulators in B. subtilis. We have characterized the regulatory mechanisms of HypR, YodB and CatR that sense and respond to hypochlorite, diamide and quinones stress. HypR is the first DUF24-family regulator whose crystal structure was resolved. HypR senses specifically disulfide stress and controls positively expression of the flavin oxidoreductase HypO after NaOCl and diamide stress. HypR resembles a 2-Cys-type regulator with a reactive nucleophilic N-terminal Cys14 and a second C-terminal Cys49. Besides HypR, B. subtilis encodes further MarR/DUF24-family members including the paralogous YodB and CatR repressors that sense quinones and diamide. YodB controls the azoreductase AzoR1, the nitroreductase YodC, and the Spx regulator. YodB resembles a 2-Cys-type MarR/DUF24-family regulator with three Cys residues (Cys6, Cys101, and Cys108) that form intermolecular disulfides in vivo under oxidative stress. YodB and its paralog CatR were further identified as repressors of the catDE operon encoding a catechol-2,3-dioxygenase that also contributes to quinone resistance. Although CatR is a 1-Cys-type regulator, our data showed that CatR also forms intermolecular disulfide in response to diamide and quinones in vitro. Thus, HypR, YodB and CatR are controlled by 2-Cys-type thiol-disulfide redox switches to sense disulfide and RES stress conditions, and to control specific RES detoxification enzymes.
Due to the wide range of reported prevalence of Molar-Incisor-Hypomineralisation (MIH) found in regional studies, the aim of this study was to determine the prevalence of MIH in school children at different areas in Germany and to compare the findings to other studies. In the compulsory dental school examination, the first permanent molars, permanent incisors and second primary molars were examined for the presence of MIH according to EAPD criteria (Lygidakis et al., 2010; Weerheijm et al., 2003) in 2395 children attending 2nd to 4th grade (mean age 8.1 ±0.8 years, range 7- 10 years) in four regions in Germany. Examinations were performed by five calibrated examiners (Kappa> 0.9) on clean teeth after brushing. The MIH prevalence at the four regions differed considerably (Düsseldorf 14.6 %, Hamburg 14.0 %, Heidelberg 6.0 %, Greifswald 4.3%) with a mean prevalence of 10.1 % (10.7 % boys, 9.5 % girls, χ2-test: p= 0.57). The caries prevalence was low in general, but children with MIH exhibited statistically significantly higher caries experience in the primary and permanent dentition (MIH group: dmft 2.0 ±2.5; DMFT 0.2 ±0.6; other children: dmft 1.5 ±2.2; DMFT 0.1 ±0.5; t-test: p= 0.001 and p< 0.001, respectively). The mean number of permanent teeth affected by MIH was 2.8 (±1.7). 12.0 % of the children with MIH also had at least one affected primary molar which resulted in a statistically significant correlation for MIH in primary and permanent teeth (p< 0.01, Spearmans correlation). Most of the affected teeth had demarcated opacities (81.2 %), but more than half of the affected children showed at least one tooth with a severe form of MIH characterized by breakdown of the tooth, atypical restorations or pain during brushing or eating. In conclusion, MIH is a clinically and epidemiologically relevant problem in German school children. The prevalence which is highly varying in different regions requires more research on the aetiology of MIH. The high rate of severe forms is of clinical concern. The findings of the present study stress the need for educating present and future dentists and pediatric specialists in MIH, as well as for developing public health policies for the prevention and adequate treatment of MIH.
We introduce a multi-step machine learning approach and use it to classify data from EEG-based brain computer interfaces. This approach works very well for high-dimensional EEG data. First all features are divided into subgroups and linear discriminant analysis is used to obtain a score for each subgroup. Then it is applied to subgroups of the resulting scores. This procedure is iterated until there is only one score remaining and this one is used for classification. In this way we avoid estimation of the high-dimensional covariance matrix of all features. We investigate the classifification performance with special attention to the small sample size case. For the normal model, we study the asymptotic error rate when dimension p and sample size n tend to infinity. This indicates how to defifine the sizes of subgroups at each step. In addition we present a theoretical error bound for the spatio-temporal normal model with separable covariance matrix, which results in a recommendation on how subgroups should be formed for this kind of data. Finally some techniques, for example wavelets and independent component analysis, are used to extract features of some kind of EEG-based brain computer interface data.
The thesis describes experimental results based on optical diagnostics of low- pressure discharges. The models, which are necessary for the interpretation of the experimental data, are developed and simulations are done. The contents can be categorized into the following topics: 1) the time-resolved tunable diode laser absorption spectroscopy of excited states of argon in pulsed magnetron discharge and modeling the plasma afterglow; 2) optical emission- and laser absorption spectroscopy of excited states of argon in radio-frequency (rf) discharge and calculation of the escape factor for self-absorption; 3) fast video recording of the oscillatory motion of a dust particle in rf discharge and analysis of the data.
In many industrial sectors biotechnological production processes have replaced pure chemical methods and allowed new, ecologically friendly and enzyme-based processes. Microorganisms, such as modified Bacillus strains are used in particular for the industrial enzyme synthesis. The two organisms Bacillus licheniformis and Bacillus pumilus are of great industrial importance. B. licheniformis is able to secrete proteins in large amounts, while B. pumilus shows high resistance to oxidative stress. During production processes different conditions can occur that affect the physiology of the production hosts and may result in a quantitative, but also a qualitative impairment of the products. This influence is based on e.g. chemical processes, the setting of temperature, pH, or oxygen availability and can lead to various stress situations for the bacteria. Cells respond to changes in their environment by sensing stressors and initiate a response to the stress, which is usually implemented by an induction or derepression of various regulons. In order to conduct an optimal production process, the metabolism and stress responses of the utilized bacteria should be known exactly. The aim of this study was to analyze of the stress response of B. licheniformis to heat and salt stress, and the stress response of B. licheniformis and B. pumilus to oxidative stress. These analyses were performed at the level of transcriptomics using cDNA microarrays, which is the most direct and global method for the analysis of changes in the physiology of a cell. The identification of stress specific markers genes and their differentiation from the SigB regulated general stress response has been another purpose of this work. Knowledge of these marker genes enables a prompt analysis of the fermentation conditions and thus a possible optimization of the process. The transcriptome analyses of this work show that B. licheniformis responds to heat stress by the induction of heat shock genes belonging to different regulons. These include the htpG gene, the HrcA regulon or the CtsR regulon, encoding chaperones and proteases, which mainly contribute to the protein quality control. The heat stress response of B. licheniformis revealed no fundamental differences to the heat stress response of the Gram-positive model organism Bacillus subtilis. The general stress response (SigB regulon), which is activated by heat stress, could be analyzed in more detail by the study of a ΔsigB mutant of B. licheniformis. Salt stress also provokes a strong induction of the general stress response in B. licheniformis. Genes for the transport and synthesis of compatible solutes were strongly induced, as well as several genes for transport systems with more or less known functions. The synthesis of the osmoprotective metabolites proline and glycine betaine could be verified in more detail by a metabolomics approach. The response to oxidative stress showed differences between both B. licheniformis and B. pumilus, and also to the oxidative stress response of B. subtilis. In B. licheniformis, the genes of the glyoxylate cycle are induced during oxidative stress. An activation of the glyoxylate bypass under oxidative conditions could be confirmed by a metabolome analysis of B. licheniformis. In addition, the PerR regulon of B. licheniformis is extended to include another two genes compared to B. subtilis. In contrast, several genes of the PerR regulon lack in the genome of B. pumilus, such as katA (vegetative catalase) or ahpCF (alkyl hydroperoxide reductase). However, other genes were induced in B. pumilus that were upregulated under oxidative stress conditions neither in B. subtilis nor in B. licheniformis. In addition, known regulons, regulated by e.g. Spx, CtsR or SOS were induced in both organisms. In summary, this dissertation transcriptionally analyzes the stress responses of B. licheniformis to heat, salt and oxidative stress, and in addition the oxidative stress response of B. pumilus. Several stress-specific regulons were identified in both, B. pumilus and B. licheniformis, which also correspond to the stress response of B. subtilis. However, it was possible to additionally assign genes to the stress specific responses of both organisms and to find differences, such as the absence of parts of the PerR regulon of B. pumilus, or the activation of the glyoxylate pathway in B. licheniformis during oxidative stress.
The investigated bacterial strain 64G3 was isolated from an offshore oil reservoir in Vung Tau, Vietnam. By means of 16S rDNA sequence alignment and DNA-DNA hybridization with Petrotoga mexicana DSM 14811, the isolate was identified as Petrotoga mexicana species. Morphologically, the 64G3 cells were rod-shaped and cell sizes varied widely from 1.0 µm up to 60 µm in length and from 0.6 to 1.2 µm in width. The cells appeared single, pairwise or in chains within a sheath-like structure (a typical characteristic of the order Thermotogales) that ballooned over the cell ends. Cells were immobile and no flagella were observed. Strain 64G3 grew anaerobically at temperatures ranging from 30 to 65°C and within the pH range of 5.0 to 8.5 with optimum growth at 55°C and the pH 7.0. Elemental sulfur and thiosulfate served as alternative electron acceptors whereas sulfate did not. Cellular extract of strain 64G3 grown in a basal medium containing soluble starch displayed hydrolytic activity towards soluble starch. The amylase system includes at least two individual enzymes. Amylase activity of the cell extract was detected in a wide temperature range (30-80°C), with optimal enzyme activity at 75°C. By using degenerate primer for PCR amplification of GH13 enzyme coding regions in combination with other molecular methods, a full amylase coding gene containing four conserved regions of α-amylase was obtained. The deduced sequence showed low identities (up to 40%) to other known amylases. This 1992 bp coding gene was heterologously expressed in E. coli and its product (amylase) was characterized. Under common expression conditions, the 77 kDa amylase (rAmyA) was predominantly produced as inclusion bodies (insoluble protein). The minor amount of soluble active amylase was used for purification and characterization of the enzyme. rAmyA was active on starch at temperatures between 30-55°C, with an optimum at 45oC. It is not thermostable because it was completely inactive after incubation at 65°C for 15 min. The enzyme was active over a pH range from 4.5-8.0, with an optimum at pH 6.5. Beside starch, rAmyA also hydrolysed glycogen, amylose, amylopectin and other oligosaccharides. Pullulan and cyclodextrins were not the substrates for this amylase. The enzyme hydrolyzed starch in an endo-acting manner, releasing maltose and maltotriose as major products and a lesser amount of glucose. On the basis of the primary structure, the substrate specificities and the hydrolysis pattern, rAmyA was classified as an endo-acting α-amylase (EC. 3.2.1.1). The cpn10/60 operon from psychrophilic O. antarctica was cloned and expressed in B. subtilis using a multi-copy plasmid. The amounts of soluble 60 kDa Cpn60 and 10 kDa Cpn10 produced at temperature ranging from 10 - 30°C were high and stable during cell growth. To investigate the impact of psychrophilic chaperonin on cold adaptation, cells with (cpn+) and without (cpn-) cpn10/60 operon were grown at 10 and 15°C. Growth comparison between two strains revealed that psychrophilic chaperonin did not support cold adaptation of B. subtilis at 10 and 15°C as it did in E. coli. A single copy of O. antarctica cpn10/60 operon was integrated into the amyE locus of the B. subtilis chromosome. The yeast α-glucosidase, a theoretic protein substrate for this chaperonin, was heterologously produced in B. subtilis at temperatures ranging from 15-30°C. Within this temperature range, the major amount of this protein appeared as inclusion bodies. Co-expression of O. antarctica cpn10/60 operon at 15°C, however, did not result in a higher activity of glucosidase. Moreover, SDS-PAGE analysis of cellular insoluble fractions revealed that the amount of insoluble enzyme produced in cpn+ cells did not decrease in comparison with that produced in cpn- cells, indicating that the recombinant chaperonin had no impact on recovery of active α-glucosidase from the inclusion bodies.
The development of innovative coatings with multifunctional properties is an ambitious task in modification of material surfaces. A novel approach is a hybrid method combining the non-thermal plasma processing with nanotechnology for the development of multifunctional surface coatings. The conception of the hybrid coating process is based on three steps: the preparation of a suspension consisting of an organic liquid and functional nanoparticles, the deposition of the suspension as a thin liquid film on the material surface, and the plasma modification of the liquid organic film to achieve a thin solid composite film with embedded nanoparticles demonstrating multifunctional properties and good adherence on the substrate material. In this work the liquid polydimethylsiloxane (PDMS) was applied as a model system, and the experimental investigations were focused on the PDMS plasma modification. In particular, the specific role of the different plasma components and the influence of the plasma and processing parameters on the PDMS modification were studied. The applied capacitively coupled radio frequency (CCRF) plasma was analyzed by electric probe measurements and optical emission spectroscopy, whereas the molecular changes in PDMS due to plasma-induced chemical reactions were studied by the Fourier transform infrared reflection absorption spectroscopy. Additionally, the photocatalytic activity of thin composite films consisting of plasma cross-linked PDMS with embedded TiO2 nanoparticles was demonstrated. During the investigation it was found that the CCRF discharge modifies efficiently thin liquid PDMS films to solid coatings. The samples were positioned in the plasma bulk at floating potential. The penetration depth of particles like neutrals, ions, electrons and radicals in the film is strongly limited. The heating of samples in the CCRF discharge is weak to modify PDMS by itself and only the plasma radiation is able to transform the liquid bulk to solid one. It is known that the absorption onset of PDMS lies in the VUV region (below 200 nm). The energetic VUV radiation penetrates into the PDMS film on a thickness from several hundred nanometers to few micrometers and initiates photochemical reactions there. Thus, different gases like Ar, Xe, O2, H2O, air and H2 were tested to provide the strongest VUV emission intensity of the CCRF discharge. Discharge pressure and power were varied for all these gases and it was found that at all conditions the H2 plasma demonstrates drastically stronger emission. Thus, H2 gas was selected for the plasma treatment of liquid PDMS films. The IRRAS analysis revealed the transformation process of PDMS with the degradation of CH3 groups, the formation of new groups like SiOH, CH2 and SiH, the formation of the SiOx material and crosslinking. It was found that the modification effect is not uniform across the film thickness. The top region with an initial thickness up to 100 nm loses all CH3 groups, in the underlying region the CH3 concentration increases gradually from zero to the value for PDMS, if the film was thick enough. The methyl-free SiOx top layer contains also SiOH and SiH groups. Furthermore, the SiH groups are concentrated only in a very thin layer with a thickness below 10 nm. The presence of the unscreened polar SiOSi and SiOH groups on the surface causes the adsorption of H2O from the atmosphere, which was also observed by IRRAS. By means of the spectroscopic ellipsometry it was found out that all above described regions experience a shrinking. The reason is the crosslinking and loss of material. The most shrunken layer is the top SiOx layer with the shrinking ratio (final thickness/initial thickness) of 0.55 - 0.60. Further, this ratio gradually rise up to the value of 0.95 in the deeper region, which has the concentration of CH3 groups of about that for PDMS. After the analysis of all results the depth of effective modification was estimated at 300 400 nm for the most optimal conditions. The optimization of the plasma VUV intensity was realized by variation of discharge pressure and power. The strongest plasma emission at studied conditions provided the irradiance of the sample of ca. 13 mW/cm2. However, such strong radiation causes very strong production rate of the gases. These products leave the modifying film slower as they are produced, what causes their accumulation in there. Their pressure grows up leading to formation of bubbles, which later explode. Finally, the film becomes heavily damaged. To avoid this effect the pressure and the RF power were changed to reduce the irradiance to 6 - 7 mW/cm2. This resulted in the absence of any damages.
Inflammation is an adaptive response that is triggered by noxious stimuli and conditions, such as infection and tissue injury. Neutrophils, eosinophils, monocytes, tissue macrophages and dendritic cells can all ingest bacteria, tissues debris and apoptotic cells after injury or infection. These cells derived from bone marrow progenitors, circulate in the blood and migrate to peripheral tissues. Macrophages produce and secrete a cascade of pro-inflammatory and anti-inflammatory cytokines, such as interleukin-6 (IL-6), IL-10, and IL-12 that are trafficked and secreted by constitutive exocytosis. IL-10 and IL-6 are known to be rapidly induced during infection and / or injury, which make them possible mediators of early phagocyte recruitment. This thesis work aimed at detailed investigation of role of these cytokines in peritoneal inflammation. Under normal physiological conditions peritoneal cavity of normal BALB/c mice contains mainly CD45+ lymphocytes and CD11b+ myeloid cells with typical macrophage phenotype. The resident peritoneal cells play an important role in organismal homeostasis by taking part in innate and adaptive immunity. To explore this in detail, the physiological properties of peritoneal resident macrophage populations were studied under steady state and during inflammation conditions. Upon rapid induction of sterile inflammation by thioglycollate or lipopolysaccharide, the resident peritoneal cells could no longer be recovered in a peritoneal wash 6h after treatment. During ceacal content (CC) peritonitis, these cells were lost even more rapidly. Neutrophils, monocytes and lymphocytes replace the resident peritoneal phagocyte populations. During sepsis the absence of peritoneal macrophages decreases neutrophils recruitment to the inflammatory site and subsequently increases sepsis. Upon peritoneal wash cell transfer, total peritoneal cells could be recovered from the peritoneum of non infected mice, whereas these cells disappeared after CC infection in mice. The fate of resident peritoneal cells and their migration into lymphoid organs such as omentum and parathymic lymph nodes was further studied following induction of peritoneal infection. The CC infection induced lost cells from peritoneum were emigrated into omentum and parathymic lymph nodes but not in mesenteric lymph nodes. R1 cells were mostly observed in parathymic lymph nodes after 72h of infection but not after 1h, whereas, R2 cells were selectively observed in omentum just 1h after infection and 72h as well. These results were further confirmed by adoptive transfer showing emigration of R2 cells into omentum 1h after infection. Additionally, analysis of cytokine production after CC peritonitis showed early production of IL-10 and IL-6, which is in agreement with earlier findings and further supports the importance of these cytokines in phagocyte recruitment. The role of IL-10, IL-6 and other cytokines as possible mediators of early inflammation and in the recruitment of monocytes, neutrophils or eosinophils to the peritoneum during inflammation was determined by cytokine application. The intraperitoneal application of IL-10 recruited monocytes, neutrophils, T cells, B cells and eosinophils to the peritoneum. However, IL-10 knockout mice showed even increased recruitment of leucocytes to the peritoneal cavity in CC infection suggesting their IL-10 independent recruitment with the exception of eosinophils. Even though eosinophils are effector cells which are recruited to the site of inflammation; during homeostasis eosinophils constitute an abundant leukocyte population in the gastrointestinal tract. Therefore, possible role of eosinophils in bacterial infection was further studied using Δdbl GATA mice which lack mature eosinophils. In the absence of eosinophils, the monocyte and neutrophil recruitment was unaffected after CC infection, while there was increased T and B cell recruitment at the same time. The Δdbl GATA mice also showed reduced production of IL-4, 18h after infection. The eosinophils secrete IL 4 which may induce alternative macrophage activation. These results together with cytokine administration and IL-10 ko mouse data suggest a novel and major role of IL-10 in attracting and in recruiting eosinophils after peritoneal infection. Altogether, present thesis work demonstrates a new aspect of IL-10 interaction with eosinophils in mouse peritoneal environment during peritonitis. It gives a new insight for understanding the possible role of eosinophils in modulating the peritoneal environment in resolution of bacterial infection and can be useful in designing new approaches for therapeutic strategies in combating sepsis and peritoneal inflammation.
Prediction of high caries increment in adults – a 5-year longitudinal study from North-East Germany
(2013)
The aim of this study is to develop an easily applicable prediction model for high coronal caries increment in adults (20-79 years) from a representative sample (N=2,565) to identify a high risk-group for specific caries prevention. The data from SHIP-0 (1997-2001) and the 5-year follow-up SHIP-1 (2002-2006) is used for analyses. The oral health examination was conducted according to WHO criteria [1997]. The drop-out analysis reveals that drop-outs are significantly older, have a lower school education, are more frequently current smokers, but have a better self-perception of their teeth. The majority of the study-population (76%) has caries incidence in this 5-year period. Caries increment shows a polarized distribution, as the high caries increment group (≥9 surfaces in half-mouth, 11.4% of the sample) comprise 40% of the total increment. The variables male gender, age ≥40 years, lower school education or lower income, current smoking, pain-associated dental visit, baseline caries experience and a non-satisfying self-perception of teeth show a statistically significant influence on high caries increment. The prediction model allows a fair to good prediction on an epidemiological level for men (AUC=0.75). The factors smoking, school education and pain-associated visit only have a significant impact on the prediction of high caries increment in men. Due to very high caries prevalence and increment a population-based prevention in adults should be optimized first, before risk-group specific preventive programmes might be implemented.