Publications by authors named "Manuela Zimmermann"

Background: Shortage in nursing resource results from the combination of a lack of nurses, an increased patient volume and workload, and other factors. This seems to be a worldwide phenomenon, leading to multiple health care related challenges and a decreased quality of care, but is different in extent in high- vs. low-income countries.

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Clinical trials are primarily conducted to estimate causal effects, but the data collected can also be invaluable for additional research, such as identifying prognostic measures of disease or biomarkers that predict treatment efficacy. However, these exploratory settings are prone to false discoveries (type-I errors) due to the multiple comparisons they entail. Unfortunately, many methods fail to address this issue, in part because the algorithms used are generally designed to optimize predictions and often only provide the measures used for variable selection, such as machine learning model importance scores, as a byproduct.

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Background: Advanced ovarian cancer is managed by extensive surgery, which could be associated with high morbidity. A personalized pre-habilitation strategy combined with an 'enhanced recovery after surgery' (ERAS) pathway may decrease post-operative morbidity.

Primary Objective: To analyze the effects of a combined multi-modal pre-habilitation and ERAS strategy on severe post-operative morbidity for patients with ovarian cancer (primary diagnosis or first recurrence) undergoing cytoreductive surgery.

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Alzheimer's disease is imposing a growing social and economic burden worldwide, and effective therapies are urgently required. One possible approach to modulation of the disease outcome is to use small molecules to limit the conversion of monomeric amyloid (Aβ42) to cytotoxic amyloid oligomers and fibrils. We have synthesized modulators of amyloid assembly that are unlike others studied to date: these compounds act primarily by sequestering the Aβ42 monomer.

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The clinical outcome of SARS-CoV-2 infections, which can range from asymptomatic to lethal, is crucially shaped by the concentration of antiviral antibodies and by their affinity to their targets. However, the affinity of polyclonal antibody responses in plasma is difficult to measure. Here we used microfluidic antibody affinity profiling (MAAP) to determine the aggregate affinities and concentrations of anti-SARS-CoV-2 antibodies in plasma samples of 42 seropositive individuals, 19 of which were healthy donors, 20 displayed mild symptoms, and 3 were critically ill.

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The formation of ordered protein and peptide assemblies is a phenomenon related to a wide range of human diseases. However, the mechanism of assembly at the molecular level remains largely unknown. Minimal models enable the exploration of the underlying interactions that are at the core of such self-assembly processes.

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The formation of amyloid fibrils and oligomers is a hallmark of several neurodegenerative disorders, including Alzheimer's disease (AD), and contributes to the disease pathway. To progress our understanding of these diseases at a molecular level, it is crucial to determine the mechanisms and rates of amyloid formation and replication. In the context of AD, the self-replication of aggregates of the Aβ42 peptide by secondary nucleation, leading to the formation of new aggregates on the surfaces of existing ones, is a major source of both new fibrils and smaller toxic oligomeric species.

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The formation of amyloid fibrils is a characterizing feature of a range of protein misfolding diseases, including Parkinson's disease. The propensity of native proteins to form such amyloid fibril, both and , is highly sensitive to the surrounding environment, which can alter the aggregation kinetics and fibrillization mechanisms. Here, we investigate systematically the influence of several representative environmental stimuli on α-synuclein aggregation, including hydrodynamic mixing, the presence of an air-water interface and sedimentation.

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The formation of amyloid fibrils from soluble peptide is a hallmark of many neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. Characterization of the microscopic reaction processes that underlie these phenomena have yielded insights into the progression of such diseases and may inform rational approaches for the design of drugs to halt them. Experimental evidence suggests that most of these reaction processes are intrinsically catalytic in nature and may display enzymelike saturation effects under conditions typical of biological systems, yet a unified modeling framework accounting for these saturation effects is still lacking.

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