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- 2023 (481) (entfernen)
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- Tissue Engineering (8)
- Herzinsuffizienz (7)
- Thrombozyt (7)
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- Angststörung (5)
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Institut
- Graduate School of Life Sciences (130)
- Theodor-Boveri-Institut für Biowissenschaften (26)
- Medizinische Klinik und Poliklinik I (22)
- Institut für Anorganische Chemie (17)
- Lehrstuhl für Orthopädie (17)
- Institut für Pharmazie und Lebensmittelchemie (16)
- Physikalisches Institut (16)
- Institut für Organische Chemie (15)
- Medizinische Klinik und Poliklinik II (15)
- Institut für Psychologie (13)
Sonstige beteiligte Institutionen
- Helmholtz Institute for RNA-based Infection Research (HIRI) (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Anthropology Department University of Tennessee, Knoxville (1)
- Bungando Medical Centre, Mwanza, Tanzania (1)
- CHC Würzburg (Comprehensive Hearing Center) (1)
- CUHAS Catholic university of health and allied science, Mwanza, Tanzania (1)
- Caritas-Krankenhaus Bad Mergentheim (1)
- Carl-Ludwig-Institut für Physiologie, Universität Leipzig (1)
- Center for Computational and Theoretical Biology (CCTB), Universität Würzburg (1)
- Chair of Experimental Biomedicine I (1)
Das Ziel der Arbeit ist die Erfassung und Analyse sakraler sowie profaner Gebäudetüren des griechischen Mutterlandes von der archaischen bis in die hellenistische Zeit. Im Vordergrund stehen hierbei vor allem Bau- und Gestaltungsfragen der zwar nicht mehr erhaltenen Türflügel, hinsichtlich derer sich jedoch anhand in situ befindlicher Schwellen sowie gefundener Beschläge Rückschlüsse ziehen lassen. Können somit unter anderem Aussagen bezüglich Ausmaß, Flügelanzahl sowie Befestigungstechnik der Türverschlüsse getroffen werden, sind Material- und Gestaltungsfragen oftmals nur mit Hilfe der erhaltenen Darstellungen auf Bildträgern sowie Schriftquellen zu beantworten. Da das Gros der auf Bildträgern in Erscheinung tretenden Türen des untersuchten zeitlichen Rahmens hauptsächlich auf der bemalten Keramik zu finden ist, wird unter dem Aspekt der Darstellungsweisen und bildlichen Semantik auf diese Abbildungen ein weiteres Hauptaugenmerk gelegt.
11C-Methionin (11C-MET) ist ein alternatives Radiopharmakon für die Positronen-Emissions-Tomographie (PET) zur Beurteilung der Krankheitsaktivität bei Patient/-innen mit Multiplem Myelom (MM). Frühe Daten legen eine höhere Sensitivität und Spezifität als bei dem bisherigen Standardtracer 18F-Fluordesoxyglucose (18F-FDG) nahe. Es fehlen bislang jedoch Untersuchungen, welche die neuen, aus PET-Daten abgeleiteten Parameter „metabolic tumor volume“ (MTV) und „total lesion glycolysis / total lesion methionin uptake“ (TLG/TLMU) in diesen Vergleich miteinbeziehen. In früheren Studien konnte bereits eine prognostische Aussagekraft dieser neuen Imaging Parameter für die 18F-FDG-PET/CT gezeigt werden. Das Ziel dieser bizentrischen Studie war es, die sich im Rahmen bisheriger Studienergebnisse andeutende Überlegenheit von 11C-MET für das Staging des MM zu überprüfen und seine Eignung für die Bewertung von metabolischen Imaging Parametern im Vergleich zu 18F-FDG zu untersuchen.
Zweiundzwanzig Patient/-innen mit neu diagnostiziertem unbehandelten MM, davon 15 Patient/-innen des Universitätsklinikums Würzburg und sieben Patient/-innen der Clinica Universidad de Navarra in Pamplona, die eine doppelte PET/CT-Bildgebung unter Verwendung der beiden Tracer 11C-MET und 18F-FDG innerhalb eines Zeitraums von maximal 14 Tagen erhalten hatten, wurden retrospektiv durch den Doktoranden (Oliver Viering) sowie eine nuklearmedizinische Assistenzärztin (Maria I. Morales-Lozano) und im Anschluss durch je eine PET/CT-Expert/-in des Universitätsklinikums Würzburg (Constantin Lapa) und der Clinica Universidad de Navarra (Maria J. Garcia-Velloso) untersucht.
Hierfür wurden die 18F-FDG- und 11C-MET-PET/CT-Aufnahmen einer dreidimensionalen Analyse mit Hilfe des "PET/CT-Viewer Beth Israel for FIJI" unterzogen. Diese open source Software ermöglichte die Berechnung von SUVmean, SUVmax und SUVpeak sowie der neuen Imaging Biomarker MTV und TLG/TLMU. Die genannten PET-Parameter wurden mit klinischen und laborchemischen Parametern (Hämoglobin, Calcium, Kreatinin, CRP, β2-Mikroglobulin, Albumin, M-Gradient/M-Protein, Knochenmarkinfiltration, LDH, freier Leichtketten-quotient, R-ISS, zytogenetisches Risiko) korreliert, welche in früheren Studien als prognostisch relevante Parameter der Myelom-Erkrankung identifiziert worden waren.
Bei elf der 22 Patient/-innen (50 %) wurden mithilfe von 11C-MET mehr fokale Läsionen als mit 18F-FDG nachgewiesen (p < 0,01), daneben konnte bei einer größeren Zahl von Patient/-innen eine diffuse Knochenmarkinfiltration durch die malignen Plasmazellen identifiziert werden (11C-MET: 19, 18F-FDG: 12). Sowohl die SUV-Parameter (SUVmean, SUVmax und SUVpeak) als auch die neuen Imaging Parameter (TMTV und TLG/TLMU) waren bei der 11C-MET- signifikant höher als bei der 18F-FDG-PET/CT (p < 0,05).
In Bezug auf die neuen Imaging Parameter zeigten sich für 11C-MET häufiger signifikante Korrelationen mit den prognostisch relevanten klinischen und laborchemischen Parametern als für 18F-FDG. Bei TMTV konnten für die 11C-MET-PET/CT signifikante Korrelationen für β2-Mikroglobulin (p = 0,006), die M-Komponente (p = 0,003), den Grad der Knochenmarkinfiltration (p = 0,007) und das Serum-Hämoglobin (p = 0,016) gefunden werden, wohingegen sich bei 18F-FDG lediglich eine signifikante Korrelation für β2-Mikroglobulin (p = 0,044) zeigte. In Bezug auf die TLG/TLMU konnten bei 18F-FDG keine signifikanten Korrelationen zwischen TLG und den klinischen und laborchemischen Parametern nachgewiesen werden. Bei 11C-MET zeigten sich hingegen signifikante Korrelationen zwischen dem TLMU und der Kalzium-Konzentration im Serum (p = 0,028), dem β2-Mikroglobulin (p = 0,047), der M-Komponente (p = 0,033) und dem Grad der Knochenmarkinfiltration (p = 0,041).
Trotz zahlreicher Limitationen dieser Arbeit, wie etwa der geringen Patientenzahl und des retrospektiven Charakters der Auswertung bekräftigt auch diese Studie in Übereinstimmung mit den bisherigen Studienergebnissen, dass 11C-MET im Vergleich zu 18F-FDG ein sensitiverer Marker für die Beurteilung der Myelom-Tumorlast sein könnte. Eine Untersuchung der prognostischen Aussagekraft von 11C-MET in Bezug auf progressionsfreies- und Gesamtüberleben im Zuge der primären Bildgebung der Erkrankung war aufgrund der kurzen Nachbeobachtungszeit und der Heterogenität der Behandlung, welche die Patient/-innen im Anschluss an die Staging-Untersuchungen erhalten hatten, nicht möglich und muss im Rahmen zukünftiger, insbesondere prospektiver Studien weiter untersucht werden.
Plexus injury often occurs after motor vehicle accidents and results in lifelong disability with severe neuropathic pain. Surgical treatment can partially restore motor functions, but sensory loss and neuropathic pain persist. Regenerative medicine concepts, such as cell replacement therapies for restoring dorsal root ganglia (DRG) function, set high expectations. However, up to now, it is unclear which DRG cell types are affected by nerve injury and can be targeted in regenerative medicine approaches.
This study followed the hypothesis that satellite glial cells (SGCs) might be a suitable endogenous cell source for regenerative medicine concepts in the DRG. SGCs originate from the same neural crest-derived cell lineage as sensory neurons, making them attractive for neural repair strategies in the peripheral nervous system. Our hypothesis was investigated on three levels of experimentation. First, we asked whether adult SGCs have the potential of sensory neuron precursors and can be reprogrammed into sensory neurons in vitro. We found that adult mouse DRG harbor SGC-like cells that can still dedifferentiate into progenitor-like cells. Surprisingly, expression of the early developmental transcription factors Neurog1 and Neurog2 was sufficient to induce neuronal and glial cell phenotypes. In the presence of nerve growth factor, induced neurons developed a nociceptor-like phenotype expressing functional nociceptor markers, such as the ion channels TrpA1, TrpV1 and NaV1.9. In a second set of experiments, we used a rat model for peripheral nerve injury to look for changes in the DRG cell composition. Using an unbiased deep learning-based approach for cell analysis, we found that cellular plasticity responses after nerve injury activate SGCs in the whole DRG. However, neither injury-induced neuronal death nor gliosis was observed. Finally, we asked whether a severe nerve injury changed the cell composition in the human DRG. For this, a cohort of 13 patients with brachial plexus injury was investigated. Surprisingly, in about half of all patients, the injury-affected DRG showed no characteristic DRG tissue. The complete entity of neurons, satellite cells, and axons was lost and fully replaced by mesodermal/connective tissue. In the other half of the patients, the basic cellular entity of the DRG was well preserved. Objective deep learning-based analysis of large-scale bioimages of the “intact” DRG showed no loss of neurons and no signs of gliosis.
This study suggests that concepts for regenerative medicine for restoring DRG function need at least two translational research directions: reafferentation of existing DRG units or full replacement of the entire multicellular DRG structure. For DRG replacement, SGCs of the adult DRG are an attractive endogenous cell source, as the multicellular DRG units could possibly be rebuilt by transdifferentiating neural crest-derived sensory progenitor cells into peripheral sensory neurons and glial cells using Neurog1 and Neurog2.
A closer look at long-established drugs: enantioselective protein binding and stability studies
(2023)
The aim of this work was to investigate older, established drugs. The extent of the protein binding of chiral ephedra alkaloids to AGP and of ketamine to albumin was determined. Since enantiomers of these drugs are individual available, the focus was on possible enantioselective binding and structural moieties involved in the binding.
Previously published work suggested that ephedrine and pseudoephedrine can bind stereoselectively to proteins other than albumin in serum. For the determination of the extent of protein binding, the established ultrafiltration with subsequent chiral CE analysis was used. To determine the influence of basicity on binding, the drugs methylephedrine and norephedrine were also analyzed. Drug binding to AGP increased with increasing basicity as follows: norephedrine < methylephedrine < ephedrine < pseudoephedrine. pKaff was determined both graphically using the Klotz plot and mathematical indicating a low affinity of the ephedra alkaloids to AGP. Using STD-NMR spectroscopy experiments the aromatic protons and the C-CH3 side chain were shown to be most strongly involved in binding, which could be confirmed by molecular docking experiments in more detail. For all drugs, van der Waals-, π π , cationic interactions, hydrogen bonds, and a formation of a salt bridge were observed. The individual enantiomers showed no significant differences and thus the binding of ephedra alkaloids to AGP is not significant.
In contrast to the ephedra alkaloids, the possible enantioselective binding to albumin was investigated for R and S ketamine. Again, ultrafiltration followed by CE analysis was performed. The binding of ketamine to one main binding site could be identified. A non-linear fit was used for the determination of pKaff. Using the NMR methods STD-NMR, waterLOGSY-NMR, and CPMG-NMRspectroscopy: the aromatic protons as well as the protons of the NCH3 methyl group showed the largest signal intensity changes, while the cyclohexanone protons showed the smallest changes. pKaff was also determined by the change in the chemical shift at different drug-protein ratios. These obtained values confirm the values obtained from ultrafiltration. Based on this, ketamine is classified as a low-affinity ligand to albumin. There were no significant differences between the individual enantiomers and thus the binding of ketamine to albumin is not a stereoselective process.
Using statistical design of experiments an efficient chiral CE method for determining the extent of protein binding of R and S ketamine to albumin was developed and validated according to ICH Q2 (R1) guideline.
The stability of ketamine was also investigated because a yellowish discoloration of an aqueous solution of ketamine developed under heat. XRPD investigations showed the same crystal structure for all batches examined. An untargeted screening using LC HRMS as well as LC UV measurements showed no degradation of ketamine or the presence of impurities in stress and non-stressed ketamine solutions, confirming the stability of ketamine under the stress conditions investigated. The lower the quality of the water used in the stress tests, the more intense the yellow discoloration occurred. The impurity or the mechanism that causes the yellow discoloration could not be identified.
This work deals with the acceleration of cardiovascular MRI for the assessment
of functional information in steady-state contrast and for viability assessment
during the inversion recovery of the magnetization. Two approaches
are introduced and discussed in detail. MOCO-MAP uses an exponential
model to recover dynamic image data, IR-CRISPI, with its low-rank plus
sparse reconstruction, is related to compressed sensing.
MOCO-MAP is a successor to model-based acceleration of parametermapping
(MAP) for the application in the myocardial region. To this end, it
was augmented with a motion correction (MOCO) step to allow exponential
fitting the signal of a still object in temporal direction. Iteratively, this
introduction of prior physical knowledge together with the enforcement of
consistency with the measured data can be used to reconstruct an image
series from distinctly shorter sampling time than the standard exam (< 3 s
opposed to about 10 s). Results show feasibility of the method as well as
detectability of delayed enhancement in the myocardium, but also significant
discrepancies when imaging cardiac function and artifacts caused already by
minor inaccuracy of the motion correction.
IR-CRISPI was developed from CRISPI, which is a real-time protocol
specifically designed for functional evaluation of image data in steady-state
contrast. With a reconstruction based on the separate calculation of low-rank
and sparse part, it employs a softer constraint than the strict exponential
model, which was possible due to sufficient temporal sampling density via
spiral acquisition. The low-rank plus sparse reconstruction is fit for the use on
dynamic and on inversion recovery data. Thus, motion correction is rendered
unnecessary with it.
IR-CRISPI was equipped with noise suppression via spatial wavelet filtering.
A study comprising 10 patients with cardiac disease show medical
applicability. A comparison with performed traditional reference exams offer
insight into diagnostic benefits. Especially regarding patients with difficulty
to hold their breath, the real-time manner of the IR-CRISPI acquisition provides
a valuable alternative and an increase in robustness.
In conclusion, especially with IR-CRISPI in free breathing, a major acceleration
of the cardiovascular MR exam could be realized. In an acquisition
of less than 100 s, it not only includes the information of two traditional
protocols (cine and LGE), which take up more than 9.6 min, but also allows
adjustment of TI in retrospect and yields lower artifact level with similar
image quality.
Der adenovirale SOX9-Gentransfer induziert nach 3-wöchiger in vitro Pelletkultur die chondrogene Differenzierung humaner mesenchymaler Stammzellen in Pelletkultur wirksamer als der TGFB1 Gentransfer mit geringerer Chondrozytenhypertrophie. Eine solche Technologie könnte zukünftig in vivo die Bildung von stabilerem hyalinem Knorpelregeneratgewebe ermöglichen.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Aging is known to be a risk factor for structural abnormalities and functional decline in the nervous system. Characterizing age-related changes is important to identify putative pathways to overcome deleterious effects and improve life quality for the elderly. In this study, the peripheral nervous system of 24-month-old aged C57BL/6 mice has been investigated and compared to 12-month-old adult mice. Aged mice showed pathological alterations in their peripheral nerves similar to nerve biopsies from elderly human individuals, with nerve fibers showing demyelination and axonal damage. Such changes were lacking in nerves of adult 12-month-old mice and adult, non-aged humans. Moreover, neuromuscular junctions of 24-month-old mice showed increased denervation compared to adult mice. These alterations were accompanied by elevated numbers of macrophages in the peripheral nerves of aged mice. The neuroinflammatory conditions were associated with impaired myelin integrity and with a decline of nerve conduction properties and muscle strength in aged mice.
To determine the pathological impact of macrophages in the aging mice, macrophage depletion was performed in mice by oral administration of CSF-1R specific kinase (c-FMS) inhibitor PLX5622 (300 mg/kg body weight), which reduced the number of macrophages in the peripheral nerves by 70%. The treated mice showed attenuated demyelination, less muscle denervation and preserved muscle strength. This indicates that macrophage-driven inflammation in the peripheral nerves is partially responsible for the age-related neuropathy in mice.
Based on previous observations that systemic inflammation can accelerate disease progression in mouse models of neurodegenerative diseases, it was hypothesized that systemic inflammation can exacerbate the peripheral neuropathy found in aged mice. To investigate this hypothesis, aged C57BL/6 mice were intraperitoneally injected with a single dose of lipopolysaccharide (LPS; 500 μg/kg body weight) to induce systemic inflammation by mimicking bacterial infection, mostly via activation of Toll-like receptors (TLRs). Altered endoneurial macrophage activation, highlighted by Trem2 downregulation, was found in LPS injected aged mice one month after injection. This was accompanied by a so far rarely observed form of axonal perturbation, i.e., the occurrence of “dark axons” characterized by a damaged cytoskeleton and an increased overall electron density of the axoplasm. At the same time, however, LPS injection reduced demyelination and muscle denervation in aged mice. Interestingly, TREM2 deficiency in aged mice led to similar changes to LPS injection. This suggests that LPS injection likely mitigates aging-related demyelination and muscle denervation via Trem2 downregulation.
Taken together, this study reveals the role of macrophage-driven inflammation as a pathogenic mediator in age-related peripheral neuropathy, and that targeting macrophages might be an option to mitigate peripheral neuropathies in aging individuals. Furthermore, this study shows that systemic inflammation may be an ambivalent modifier of age-related nerve damage, leading to a distinct type of axonal perturbation, but in addition to functionally counteracting, dampened demyelination and muscle denervation. Translationally, it is plausible to assume that tipping the balance of macrophage polarization to one direction or the other may determine the functional outcome in the aging peripheral nervous system of the elderly.
Mit steigender Nachfrage an minimal-invasiven Therapieoptionen wächst auch das Interesse an innovativen Alternativen im Bereich des arteriellen Gefäßverschlusses nach PVI. Ziel der vorliegenden Arbeit war es, die Effektivität und Sicherheit eines neu auf dem Markt befindlichen, Doppelclip-basierten aktiven VVS zu prüfen. Eine hohe technische Erfolgsrate von 98,8 % bei einer geringen Komplikationsrate von 3,6 % wurde verzeichnet. Bei Anwesenheit der Komorbiditäten Dm und CNI 5 zeigte sich eine signifikante Assoziation zu einem vermehrten Auftreten von Komplikationen. Ein nachgewiesener signifikanter Zusammenhang bestand zudem zwischen einem erhöhten Kalzifikationsgrad der Punktionsstelle bei Vorliegen einer pAVK und eines Dm. Eine erhöhte Gefäßrigidität aufgrund von Komorbiditäten und vaskulären Kalzifikationen, intrinsische Fremdkörperreaktionen, vasoregulatorische Reaktionen oder Produktversagen bieten hypothetische Erklärungsansätze für die einzelnen komplikativen Fälle. Die Nutzung des VVS in spezifischen, bisher nicht beschriebenen Situationen (Unterdimensionierung, Anwendung nach Gefäßpunktionen mit Zugangsschleusen bis 9F, antegrade Punktionsrichtung, anspruchsvolle Eingriffe multimorbider Patienten mit komplexem vaskulärem Status) erwies sich als suffizient. Zur Prävention schwerwiegender Komplikationen während zukünftiger Interventionen wurden die Empfehlung ausgesprochen, eine Durchleuchtungsaufnahme zur Lagekontrolle vor Implantation des proximalen Clips anzufertigen. Eine speziell für Gefäßverschlüsse nach antegrader Punktion konzipierte Zugangsschleuse könnte das Abknicken von Zugangsschleusen bei VVS Applikation verhindern. Zusammenfassend kann das untersuchte aktive VVS mit einzigartigem Wirkmechanismus und spezifischen Design als effektiv und sicher angesehen werden.
Recent computing advances are driving the integration of artificial intelligence (AI)-based systems into nearly every facet of our daily lives. To this end, AI is becoming a frontier for enabling algorithmic decision-making by mimicking or even surpassing human intelligence. Thereupon, these AI-based systems can function as decision support systems (DSSs) that assist experts in high-stakes use cases where human lives are at risk. All that glitters is not gold, due to the accompanying complexity of the underlying machine learning (ML) models, which apply mathematical and statistical algorithms to autonomously derive nonlinear decision knowledge. One particular subclass of ML models, called deep learning models, accomplishes unsurpassed performance, with the drawback that these models are no longer explainable to humans. This divergence may result in an end-user’s unwillingness to utilize this type of AI-based DSS, thus diminishing the end-user’s system acceptance.
Hence, the explainable AI (XAI) research stream has gained momentum, as it develops techniques to unravel this black-box while maintaining system performance. Non-surprisingly, these XAI techniques become necessary for justifying, evaluating, improving, or managing the utilization of AI-based DSSs. This yields a plethora of explanation techniques, creating an XAI jungle from which end-users must choose. In turn, these techniques are preliminarily engineered by developers for developers without ensuring an actual end-user fit. Thus, it renders unknown how an end-user’s mental model behaves when encountering such explanation techniques.
For this purpose, this cumulative thesis seeks to address this research deficiency by investigating end-user perceptions when encountering intrinsic ML and post-hoc XAI explanations. Drawing on this, the findings are synthesized into design knowledge to enable the deployment of XAI-based DSSs in practice. To this end, this thesis comprises six research contributions that follow the iterative and alternating interplay between behavioral science and design science research employed in information systems (IS) research and thus contribute to the overall research objectives as follows: First, an in-depth study of the impact of transparency and (initial) trust on end-user acceptance is conducted by extending and validating the unified theory of acceptance and use of technology model. This study indicates both factors’ strong but indirect effects on system acceptance, validating further research incentives. In particular, this thesis focuses on the overarching concept of transparency. Herein, a systematization in the form of a taxonomy and pattern analysis of existing user-centered XAI studies is derived to structure and guide future research endeavors, which enables the empirical investigation of the theoretical trade-off between performance and explainability in intrinsic ML algorithms, yielding a less gradual trade-off, fragmented into three explainability groups. This includes an empirical investigation on end-users’ perceived explainability of post-hoc explanation types, with local explanation types performing best. Furthermore, an empirical investigation emphasizes the correlation between comprehensibility and explainability, indicating almost significant (with outliers) results for the assumed correlation. The final empirical investigation aims at researching XAI explanation types on end-user cognitive load and the effect of cognitive load on end-user task performance and task time, which also positions local explanation types as best and demonstrates the correlations between cognitive load and task performance and, moreover, between cognitive load and task time. Finally, the last research paper utilizes i.a. the obtained knowledge and derives a nascent design theory for XAI-based DSSs. This design theory encompasses (meta-) design requirements, design principles, and design features in a domain-independent and interdisciplinary fashion, including end-users and developers as potential user groups. This design theory is ultimately tested through a real-world instantiation in a high-stakes maintenance scenario.
From an IS research perspective, this cumulative thesis addresses the lack of research on perception and design knowledge for an ensured utilization of XAI-based DSS. This lays the foundation for future research to obtain a holistic understanding of end-users’ heuristic behaviors during decision-making to facilitate the acceptance of XAI-based DSSs in operational practice.