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Neisseria gonorrhoeae (GC) is a human specific pathogenic bacterium. Currently, N. gonorrhoeae developed resistance to virtually all the available antibiotics used for treatment. N. gonorrhoeae starts infection by colonizing the cell surface, followed by invasion of the host cell, intracellular persistence, transcytosis and exit into the subepithelial space. Subepithelial bacteria can reach the bloodstream and disseminate to other tissues causing systemic infections, which leads to serious conditions such as arthritis and pneumonia. A number of studies have well established the host-pathogen interactions during the initial adherence and invasion steps. However, the mechanism of intracellular survival and traversal is poorly understood so far. Hence, identification of novel bacterial virulence factors and host factors involved in the host-pathogen interaction is a crucial step in understanding disease development and uncovering novel therapeutic approaches. Besides, most of the previous studies about N. gonorrhoeae were performed in the conventional cell culture. Although they have provided insights into host-pathogen interactions, much information about the native infection microenvironment, such as cell polarization and barrier function, is still missing.
This work focused on determining the function of novel bacterial virulence factor NGFG_01605 and host factor (FLCN) in gonococcal infection. NGFG_01605 was identified by Tn5 transposon library screening. It is a putative U32 protease. Unlike other proteins in this family, it is not secreted and has no ex vivo protease activity. NGFG_01605 knockout decreases gonococcal survival in the epithelial cell. 3D models based on T84 cell was developed for the bacterial transmigration assay. NGFG_01605 knockout does not affect gonococcal transmigration.
The novel host factor FLCN was identified by shRNA library screening in search for factors that affected gonococcal adherence and/or internalization. We discovered that FLCN did not affect N. gonorrhoeae adherence and invasion but was essential for bacterial survival. Since programmed cell death is a host defence mechanism against intracellular pathogens, we further explored apoptosis and autophagy upon gonococcal infection and determined that FLCN did not affect apoptosis but inhibited autophagy. Moreover, we found that FLCN inhibited the expression of E-cadherin. Knockdown of E- cadherin decreased the autophagy flux and supported N. gonorrhoeae survival. Both non-polarized and polarized cells are present in the cervix, and additionally, E-cadherin represents different polarization properties on these different cells. Therefore, we established 3-D models to better understand the functions of FLCN. We discovered that FLCN was critical for N. gonorrhoeae survival in the 3-D environment as well, but not through inhibiting autophagy. Furthermore, FLCN inhibits the E-cadherin expression and disturbs its polarization in the 3-D models. Since N. gonorrhoeae can cross the epithelial cell barriers through both cell-cell junctions and transcellular migration, we further explored the roles FLCN and E-cadherin played in transmigration. FLCN delayed N. gonorrhoeae transmigration, whereas the knockdown of E-cadherin increased N. gonorrhoeae transmigration.
In summary, we revealed roles of the NGFG_01605 and FLCN-E-cadherin axis play in N. gonorrhoeae infection, particularly in relation to intracellular survival and transmigration. This is also the first study that connects FLCN and human-specific pathogen infection.
Chlamydia trachomatis (Ct) is an obligate intracellular human pathogen. It causes blinding trachoma and sexually transmitted disease such as chlamydia, pelvic inflammatory disease and lymphogranuloma venereum. Ct has a unique biphasic development cycle and replicates in an intracellular vacuole called inclusion. Normally it has two forms: the infectious form, elementary body (EB); and the non-infectious form, reticulate body (RB). Ct is not easily amenable to genetic manipulation. Hence, to understand the infection process, it is crucial to study how the metabolic activity of Ct exactly evolves in the host cell and what roles of EB and RB play differentially in Ct metabolism during infection. In addition, Ct was found regularly coinfected with other pathogens in patients who got sexually transmitted diseases (STDs). A lack of powerful methods to culture Ct outside of the host cell makes the detailed molecular mechanisms of coinfection difficult to study.
In this work, a genome-scale metabolic model with 321 metabolites and 277 reactions was first reconstructed by me to study Ct metabolic adaptation in the host cell during infection. This model was calculated to yield 84 extreme pathways, and metabolic flux strength was then modelled regarding 20hpi, 40hpi and later based on a published proteomics dataset. Activities of key enzymes involved in target pathways were further validated by RT-qPCR in both HeLa229 and HUVEC cell lines. This study suggests that Ct's major active pathways involve glycolysis, gluconeogenesis, glycerolphospholipid biosynthesis and pentose phosphate pathway, while Ct's incomplete tricarboxylic acid cycle and fatty acid biosynthesis are less active. EB is more activated in almost all these carbohydrate pathways than RB. Result suggests the survival of Ct generally requires a lot of acetyl-CoA from the host. Besides, both EB and RB can utilize folate biosynthesis to generate NAD(P)H but may use different pathways depending on the demands of ATP. When more ATP is available from both host cell and Ct itself, RB is more activated by utilizing energy providing chemicals generated by enzymes associated in the nucleic acid metabolism. The forming of folate also suggests large glutamate consumption, which is supposed to be converted from glutamine by the glutamine-fructose-6-phosphate transaminase (glmS) and CTP synthase (pyrG).
Then, RNA sequencing (RNA-seq) data analysis was performed by me in a coinfection study. Metatranscriptome from patient RNA-seq data provides a realistic overview. Thirteen patient samples were collected and sequenced by our collaborators. Six male samples were obtained by urethral swab, and seven female samples were collected by cervicovaginal lavage. All the samples were Neisseria gonorrhoeae (GC) positive, and half of them had coinfection with Ct. HISAT2 and Stringtie were used for transcriptomic mapping and assembly respectively, and differential expression analysis by DESeq2, Ballgown and Cuffdiff2 are parallelly processed for comparison. Although the measured transcripts were not sufficient to assemble Ct's transcriptome, the differential expression of genes in both the host and GC were analyzed by comparing Ct positive group (Ct+) against Ct-uninfected group. The results show that in the Ct+ group, the host MHC class II immune response was highly induced. Ct infection is associated with the regulation of DNA methylation, DNA double-strand damage and ubiquitination. The analysis also shows Ct infection enhances host fatty acid beta oxidation, thereby inducing mROS, and the host responds to reduce ceramide production and glycolysis. The coinfection upregulates GC's own ion transporters and amino acid uptake, while it downregulates GC's restriction and modification systems. Meanwhile, GC has the nitrosative and oxidative stress response and also increases the ability for ferric uptake especially in the Ct+ group compared to Ct-uninfected group.
In conclusion, methods in bioinformatics were used here in analyzing the metabolism of Ct itself, and the responses of the host and GC respectively in a coinfection study with and without Ct. These methods provide metabolic and metatranscriptomic details to study Ct metabolism during infection and Ct associated coinfection in the human microbiota.
The human-bacterial pathogen interaction is a complex process that results from
a prolonged evolutionary arms race in the struggle for survival. The pathogen employs
virulence strategies to achieve host colonization, and the latter counteracts using defense
programs. The encounter of both organisms results in drastic physiological changes
leading to stress, which is an ancient response accompanying infection. Recent evidence
suggests that the stress response in the host converges with the innate immune pathways
and influences the outcome of infection. However, the contribution of stress and the exact
mechanism(s) of its involvement in host defense remain to be elucidated. Using the model
bacterial pathogen Shigella flexneri, and comparing it with the closely related pathogen
Salmonella Typhimurium, this study investigated the role of host stress in the outcome of
infection.
Shigella infection is characterized by a pronounced pro-inflammatory response
that causes intense stress in host tissues, particularly the intestinal epithelium, which
constitutes the first barrier against Shigella colonization. In this study, inflammatory
stress was simulated in epithelial cells by inducing oxidative stress, hypoxia, and cytokine
stimulation. Shigella infection of epithelial cells exposed to such stresses was strongly
inhibited at the adhesion/binding stage. This resulted from the depletion of sphingolipidrafts
in the plasma membrane by the stress-activated sphingomyelinases. Interestingly,
Salmonella adhesion was not affected, by virtue of its flagellar motility, which allowed the
gathering of bacteria at remaining membrane rafts. Moreover, the intracellular replication
of Shigella lead to a similar sphingolipid-raft depletion in the membrane across adjacent
cells inhibiting extracellular bacterial invasion.
Additionally, this study shows that Shigella infection interferes with the host stress
granule-formation in response to stress. Interestingly, infected cells exhibited a nuclear
depletion of the global RNA-binding stress-granule associated proteins TIAR and TIA-1
and their accumulation in the cytoplasm.
Overall, this work investigated different aspects of the host stress-response in the
defense against bacterial infection. The findings shed light on the importance of the host
stress-pathways during infection, and improve the understanding of different strategies
in host-pathogen interaction.
Regulatory T cells (Tregs) are the masters of immune regulation controlling inflammation and tolerance, tissue repair and homeostasis. Multiple immunological diseases result from altered Treg frequencies and Treg dysfunction. We hypothesized that augmenting Treg function and numbers would prevent inflammatory disease whereas inhibiting or depleting Tregs would improve cancer immunotherapy.
In the first part of this thesis, we explored whether in vivo activation and expansion of Tregs would impair acute graft-versus-host disease (aGvHD). In this inflammatory disease, Tregs are highly pathophysiological relevant and their adoptive transfer proved beneficial on disease outcome in preclinical models and clinical studies. IL-2 has been recognized as a key cytokine for Treg function. Yet, attempts in translating Treg expansion via IL-2 have remained challenging, due to IL-2s extremely broad action on other cell types including effector T cells, NK cells, eosinophils and vascular leakage syndrome, and importantly, due to poor pharmacokinetics in vivo. We addressed the latter issue using an IL-2-IgG-fusion protein (irrIgG-IL-2) with improved serum retention and demonstrated profound Treg expansion in vivo in FoxP3-luciferase reporter mice. Further, we augmented Treg numbers and function via the selective-TNF based agonists of TNFR2 (STAR2). Subsequently, we tested a next-generation TNFR2 agonist, termed NewSTAR, which proved even more effective. TNFR2 stimulation augmented Treg numbers and function and was as good as or even superior to the IL-2 strategy. Finally, in a mouse model of aGvHD we proved the clinical relevance of Treg expansion and activation with irrIgG-IL-2, STAR2 and NewSTAR. Notably, the TNFR2 stimulating constructs were outstanding as we observed not the IL-2 prototypic effects on other cell populations and no severe side effects.
In the second part of this thesis, we explored Tregs in pancreatic ductal adenocarcinoma (PDAC) and developed targeting strategies. Among several tumor entities in which Tregs impact survival, preclinical and clinical data demonstrated their negative role on PDAC. In our studies we employed the orthotopic syngeneic Panc02 model in immunocompetent mice. Based on flow cytometric analysis of the tumor microenvironment we propose TIGIT and TNFRSF members as novel therapeutic targets. Surprisingly, we found that blocking TNFR2 did not interfere with intratumoral Treg accumulation. However, we decreased the highly abundant intratumoral Tregs when we disrupted the tumor extracellular matrix. In PDAC, Treg manipulation alone did not lead to tumor regression and we propose that an additional immune boost may be necessary for efficient tumor immune surveillance and cancer clearance. This contrasts with aGvHD, in which Treg manipulation alone was sufficient to improve disease outcome.
Conclusively, we demonstrated the enormous medical benefit of Treg manipulation. Our promising data obtained with our newly developed powerful tools highlight the potential to translate our findings into clinical practice to therapeutically target human Tregs in patients. With novel TNFR2 agonists (STAR2, NewSTAR) we augmented Treg numbers and function as (or even more) effectively than with IL-2, without causing adverse side effects. Importantly, exogenous in vivo Treg expansion protected mice from aGvHD. For the therapy of PDAC, we identified novel targets on Tregs, notably TIGIT and members of the TNFRSF. We demonstrated that altering the extracellular tumor matrix can efficiently disrupt the Treg abundance in tumors. These novel targeting strategies appear as attractive new treatment options and they may benefit patients suffering from inflammatory disease and cancer in the future.
The three closely related PUB proteins PUB22, PUB23 and PUB24 were described as important regulators for PTI signaling and plant immunity. To find cellular targets regulated by the action of the PUB triplet we performed a yeast two-hybrid screen to identify candidate target proteins of PUB22. We could identify Exo70B2 as a target protein of PUB22, which is ubiquitinated by the E3-ubiquitin ligase and consequently degraded in response to flg22 perception. The importance of Exo70B2 for immunity was shown by reverse genetics, demonstrating that exo70B2 mutants are impaired in PTI signaling and plant immunity.
Exo70B2 is one of 23 homologs of the yeast Exo70p in Arabidopsis thaliana, which is a subunit of an octameric protein complex, termed the exocyst. The exocyst complex is required for the tethering of post-Golgi vesicles to specific target membranes and thus an important component of intracellular vesicle trafficking. The elucidated function of Exo70B2 and its requirement for PTI signaling is a novel finding and similar functions had not yet been described for the exocyst complex or subunits thereof in plants. Additional target proteins of PUB22 are also predicted to be involved in vesicle trafficking processes, suggesting that PUB22 has specialized to regulate trafficking protein complexes required for PTI signaling.
Furthermore, the presented work suggests a mechanism for the regulation of Exo70B2 ubiquitination by PUB22. PUB22 was shown to be intrinsically instable due to its autocatalytic ubiquitination activity. Flg22 treatment induced the rapid post-translational stabilization of PUB22. This potentially enables the ligase to efficiently interact with Exo70B2, resulting in its polyubiquitination and 26S-proteasome-dependent turnover.
The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established.
As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 Å. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery.
Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential.
Potential evolutionary responses to landscape heterogeneity and systematic environmental trends
(2020)
Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with.
With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change.
This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi-
viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So
far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures.
I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity.
I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions.
Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches
evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction.
With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while
in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes.
The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to
describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.
Desert ants of the genus Cataglyphis (Formicinae) are widely distributed in arid
areas of the palearctic ecozone. Their habitats range from relatively cluttered environments in the Mediterranean area to almost landmark free deserts. Due to their
sophisticated navigational toolkit, mainly based on the sky-compass, they were
studied extensively for the last 4 decades and are an exceptional model organism
for navigation. Cataglyphis ants exhibit a temporal polyethism: interior workers
stay inside the dark nest and serve as repletes for the first ∼2 weeks of their adult
life (interior I). They then switch to nursing and nest maintenance (interior II)
until they transition to become day-active outdoor foragers after ∼4 weeks. The
latter switch in tasks involves a transition phase of ∼2-3 days during which the
ants perform learning and orientation walks. Only after this last phase do the ants
start to scavenge for food as foragers.
In this present thesis I address two main questions using Cataglyphis desert ants
as a model organism:
1. What are the underlying mechanisms of temporal polyethism?
2. What is the neuronal basis of sky-compass based navigation in Cataglyphis
ants?
Neuropeptides are important regulators of insect physiology and behavior and as
such are promising candidates regarding the regulation of temporal polyethism in
Cataglyphis ants. Neuropeptides are processed from large precursor proteins and undergo substantial post-translational modifications. Therefore, it is crucial to biochemically identify annotated peptides. As hardly any peptide data are available
for ants and no relevant genomic data has been recorded for Cataglyphis, I started
out to identify the neuropeptidome of adult Camponotus floridanus (Formicinae)
workers (manuscript 1). This resulted in the first neuropeptidome described in an
ant species – 39 neuropeptides out of 18 peptide families. Employing a targeted
approach, I identified allatostatin A (AstA), allatotropin (AT), short neuropeptide
F (sNPF) and tachykinin (TK) using mass spectrometry and immunohistology to
investigate the distribution of AstA, AT and TK in the brain (manuscript 2). All
three peptides are localized in the central complex, a brain center for sensory integration and high-order control of locomotion behavior. In addition, AstA and
TK were also found in visual and olfactory input regions and in the mushroom
bodies, the centers for learning and memory formation. Comparing the TK immunostaining in the brain of 1, 7 and 14 days old dark kept animals revealed that
the distribution in the central complex changes, most prominently in the 14 day
old group. In the Drosophila central complex TK modulates locomotor activity
levels. I therefore hypothesize that TK is involved in the internal regulation of the
interior I–interior II transition which occurs after ∼2 weeks of age.
I designed a behavioral setup to test the effect of neuropeptides on the two traits:
’locomotor activity level’ and ’phototaxis’ (manuscript 3). The test showed that
interior I ants are less active than interior II ants, which again are less active
than foragers. Furthermore, interior ants are negatively phototactic compared to
a higher frequency of positive phototaxis in foragers. Testing the influence of AstA
and AT on the ants’ behavior revealed a stage-specific effect: while interior I behavior is not obviously influenced, foragers become positively phototactic and more
active after AT injection and less active after AstA injection. I further tested the
effect of light exposure on the two behavioral traits of interior workers and show that it rises locomotor activity and results in decreased negative phototaxis in
interior ants. However, both interior stages are still more negatively phototactic
than foragers and only the activity level of interior II ants is raised to the forager
level. These results support the hypothesis that neuropeptides and light influence
behavior in a stage-specific manner.
The second objective of this thesis was to investigate the neuronal basis of skycompass navigation in Cataglyphis (manuscript 4). Anatomical localization of the
sky-compass pathway revealed that its general organization is highly similar to
other insect species. I further focused on giant synapses in the lateral complex,
the last relay station before sky-compass information enters the central complex.
A comparison of their numbers between newly eclosed ants and foragers discloses
a rise in synapse numbers from indoor worker to forager, suggesting task-related
synaptic plasticity in the sky-compass pathway. Subsequently I compared synapse
numbers in light preexposed ants and in dark-kept, aged ants. This experiment
showed that light as opposed to age is necessary and sufficient to trigger this rise
in synapse number. The number of newly formed synapses further depends on the
spectral properties of the light to which the ants were exposed to.
Taken together, I described neuropeptides in C. floridanus and C. fortis, and provided first evidence that they influence temporal polyethism in Cataglyphis ants.
I further showed that the extent to which neuropeptides and light can influence
behavior depends on the animals’ state, suggesting that the system is only responsive under certain circumstances. These results provided first insight into the
neuronal regulation of temporal polyethism in Cataglyphis. Furthermore, I characterized the neuronal substrate for sky-compass navigation for the first time in
Cataglyphis. The high level of structural synaptic plasticity in this pathway linked
to the interior–forager transition might be particularly relevant for the initial calibration of the ants’ compass system.
Malignant melanoma is the most severe form of all skin cancers with a particular poor prognosis once metastases have developed. Angiogenesis, the formation of new blood vessels, is a prominent feature of human melanoma, which have angiogenic activity already early in development. This is at least partly ascribed to the action of MAPK- and PI3K pathways which are hyperactivated in most melanoma. Animal models which combine in depth in vivo examinations with the opportunity to perform small molecular screens are well suited to gain a more detailed insight into how this type of cancer modulates its angiogenic program. Here, a first transgenic melanoma angiogenesis model was established in the fish species Oryzias latipes (Japanese medaka). In this model, tumors are generated by the pigment cell-specific expression of the oncogenic receptor tyrosine kinase Xmrk. Xmrk is a mutated version of the fish Egfp. Furthermore, to get an angiogenesis model, a medaka line with endothelial cell specific GFP expression was used. By using crosses between these Xmrk- and GFP transgenic fishes, it was shown that angiogenesis occurs in a reactive oxygen species- and NF-κB-dependent manner, but was hypoxia-independent. It was observed that blood vessel sprouting and branch point formation was elevated in this model and furthermore that sprouting could even be induced by single transformed cells. The mouse melanocytes expressing the oncogenic receptor tyrosine kinase Xmrk as well human melanoma cells, which display various oncogenic alterations, produced pro-angiogenic factors, most prominently angiogenin, via NF-κB signaling. Furthermore, inhibiting NF-κB action prevented tumor angiogenesis and even led to the regression of existing tumor blood vessels. In summary, the present medaka melanoma angiogenesis model displays a high sensitivity for angiogenesis detection and is perfectly suited as in vivo model for the testing of anti-angiogenesis inhibitors, as exemplified by the NF-kappaB inhibitor.
Furthermore, results indicate that it might be a promising anti-tumor strategy to target signaling pathways such as the NF-κB pathway which are able to induce angiogenesis-dependent as well as -independent pro-tumorigenic effects.
The skeletal system forms the mechanical structure of the body and consists of bone, which is hard connective tissue. The tasks the skeleton and bones take over are of mechanical, metabolic and synthetic nature. Lastly, bones enable the production of blood cells by housing the bone marrow. Bone has a scarless self-healing capacity to a certain degree. Injuries exceeding this capacity caused by trauma, surgical removal of infected or tumoral bone or as a result from treatment-related osteonecrosis, will not heal. Critical size bone defects that will not heal by themselves are still object of comprehensive clinical investigation. The conventional treatments often result in therapies including burdening methods as for example the harvesting of autologous bone material. The aim of this thesis was the creation of a prevascularized bone implant employing minimally invasive methods in order to minimize inconvenience for patients and surgical site morbidity. The basis for the implant was a decellularized, naturally derived vascular scaffold (BioVaSc-TERM®) providing functional vessel structures after reseeding with autologous endothelial cells. The bone compartment was built by the combination of the aforementioned scaffold with synthetic β-tricalcium phosphate. In vitro culture for tissue maturation was performed using bioreactor technology before the testing of the regenerative potential of the implant in large animal experiments in sheep. A tibia defect was treated without the anastomosis of the implant’s innate vasculature to the host’s circulatory system and in a second study, with anastomosis of the vessel system in a mandibular defect. While the non-anastomosed implant revealed a mostly osteoconductive effect, the implants that were anastomosed achieved formation of bony islands evenly distributed over the defect.
In order to prepare preconditions for a rapid approval of an implant making use of this vascularization strategy, the manufacturing of the BioVaSc-TERM® as vascularizing scaffold was adjusted to GMP requirements.