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Coming dissertations at Uppsala university

  • Adaptive Evolution of the Bacterial Translation Machinery Author: Arindam De Tarafder Link: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-521887 Publication date: 2024-02-22 13:17

    The process of protein synthesis via translation is of paramount importance for the existence of life on Earth. The bacterial translation machinery has embraced more than 3.5 billion years of molecular evolution to adapt and function efficiently under the provided physiological conditions. This thesis dwells on the intricacies of the adaptive evolution, which the massively complex translation machinery has undergone to function optimally in diverse conditions and habitats. In Paper I, we used elongation factor Tu (EF-Tu) as a model system to follow the evolution of ribosome specificity in translation factors. For that, we have biochemically characterized two sequence-reconstructed ancestral EF-Tu variants for their specificities towards two unrelated extant bacterial ribosomes, mesophilic Escherichia coli and thermophilic Thermus thermophilus. Our fast kinetics-based biochemical analysis hints at the ‘generalist’ ancestry of modern EF-Tu proteins. In Paper II, we have reconstituted an in vitro translation system of the psychrotolerant bacteria Pseudoalteromonas haloplanktis to quantitatively characterize the steps of translation elongation. Our results demonstrate similar kinetics of peptide bond formation in psychrotolerant P. haloplanktis and mesophilic E. coli. In contrast, P. haloplanktis ribosome exhibits much slower rates of EF-G-catalyzed tRNA translocation than E. coli. Comparison and swapping of the EF-Gs and tRNAs between the two in vitro translation systems indicate that the slow translocation is likely an inherent property of the P. haloplanktis ribosome. Furthermore, our results demonstrate the varied extent of antibiotic inhibition on the P. haloplanktis minimal translation system, particularly when targeting processes related to translocation and peptide bond formation, compared to E. coli. In Paper III, we used ribosomes from bacterial species of diverse habitats to show that the ribosomes in vitro can maintain their catalytic activity beyond the survival temperature cutoff of the native host. Moreover, our results indicate that the thermostability of essential translation factors, EF-Tu and EF-G, dictates the upper limit of reaction temperature for translation elongation. Finally, we demonstrate that ribosomes from a psychrophile, mesophile, and thermophile can function in a vast temperature range of 10-70 °C, provided the translation factors remain structurally and functionally stable. Our results highlight the thermal versatility of the ribosome and reiterate the early emergence of a thermostable ribosomal core in the primordial RNA world.

    The outcome of this thesis will unveil some of the intricate mechanisms underlying the evolution of bacterial translation machinery. This knowledge may open up new research avenues regarding the emergence and diversification of bacteria and the development of new therapeutic strategies.

  • Data-Driven Methods for Microwave Sensor Devices in Musculoskeletal Diagnostics Author: Viktor Mattsson Link: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-521537 Publication date: 2024-02-20 12:25

    Microwave sensors can be used within medicine as they use non-ionizing radiation, are often low cost, and can be designed for a specific purpose. The application of microwave sensors for diagnostics and monitoring can be improved using appropriate data analysis. The multi-layered structure of the human body makes the measurements on people complex. A tremendous effort is required to create an analytical model of the body. In this context a data-driven approach, building a model that learns from previous measurements, is more suitable to analyze the data. This thesis aims to address statistical and data-driven approaches based on microwave sensor data for biomedical applications.

    A significant part of this thesis deals with microwave sensors for assessing muscle quality. It details the progress from initial clinical campaign to the creation of a machine learning algorithm to assess the local body composition. Such a device would be suitable for screening age-related muscle disorders like sarcopenia and muscle atrophy. Statistical analysis following the initial clinical campaign revealed no significant differences in the microwave data. Therefore, new sensor designs were evaluated. The most promising sensor was used in a small clinical campaign where it was able to detect a change in muscle size for one patient with multiple measurements over time. Successive measurements followed on tissue emulating phantoms and volunteers. For data analysis a machine learning algorithm was designed to predict the skin, fat, and muscle properties. This changes the aim from assessing muscle quality to assessing local body composition. For phantom data the algorithm was accurate for skin and fat and for volunteer data for fat and muscle. Crucially, the algorithm also performed better with more data available, meaning that results should improve if more data is collected.

    Microwave sensors have also been employed to assess bone. The first of two applications was to monitor the bone healing progression post surgery treating craniosynostosis. No substantial conclusions could be drawn from the statistical analysis most likely due to measurement uncertainties. The second application used a purpose-built setup for controlled measurements in ex vivo bone samples submerged in liquid, to simulate an in vivo environment. The purpose was to estimate the dielectric properties of bone. The derived bone properties were lower than expected, probably due to air trapped inside the sample.

  • AL amyloidosis : Study of epidemiology, diagnosis and treatment with emphasis on heart involvement Author: Sara Rosengren Link: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-521524 Publication date: 2024-02-20 10:46

    AL (immunoglobulin light chain) amyloidosis is often associated with delayed diagnosis and thereby high early mortality that is not overcome by contemporary treatment. There is a need for diagnostic methods promoting earlier diagnosis, especially in patients with cardiac involvement. Progress has been made in the treatment of AL amyloidosis and prolonged survival has been reported from specialized referral centers. However, population-based reports are scarce regarding epidemiology as well as treatment outcomes. Aims of this thesis were to increase the knowledge of the epidemiology of AL amyloidosis, investigate new imaging methods for early diagnosis and prognostication in cardiac amyloidosis (CA), and evaluate treatment options with focus on patients with cardiac involvement. 

    In paper I we presented real-world long-term results of treatment with high dose chemotherapy for AL amyloidosis in Sweden. We could conclude that long overall survival (median 8.2 years, 95% CI 5.1-11.2) was reached with high dose chemotherapy, but with inferior outcomes in patients with cardiac involvement. Treatment related mortality was comparable to that reported from larger centers during this period and was decreasing from 23.8% to 7.8% during the studied time period.

    In paper II we studied the accuracy of PET with the amyloid binding tracer 11C-PIB for the diagnosis of CA. 11C-PIB PET showed high accuracy in detecting CA, and affinity was higher for AL compared to transthyretin amyloidosis. We concluded that 11C-PIB PET can be a useful method to rule in or out amyloidosis in patients with unexplained diastolic heart failure. Our results also indicated that 11C-PIB PET can detect CA at an earlier stage than echocardiography and might be a useful tool for early diagnosis.

    In paper III we studied the prognostic value of cardiac function parameters from 11C-acetate PET in CA. We found that reduced myocardial external efficiency was associated with inferior survival in CA patients. However, the strongest prognostic parameter was lowered ratio of forward stroke volume and left ventricular mass, which was the only independently prognostic parameter in multivariable analysis. 

    Paper IV was a population-based epidemiological study in which we could determine the standardized incidence of systemic AL amyloidosis to 12.0 (95% CI 9.3-14.7) per million person-years for Uppsala County, without significant change during the period 2000-2020. The 5-year limited duration prevalence increased numerically, but without statistical significance. Prolonged overall survival was observed over time, and there was also a decrease in early mortality, indicating earlier diagnosis of especially patients with cardiac involvement.

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