Fluorodeoxyglucose positron emission tomography in anti-N-methyl-D-aspartate receptor encephalitis: distinct pattern of disease

Background: Patients with encephalitis associated with antibodies against N-methyl-D-aspartate-receptor antibody (NMDAR-ab) encephalitis frequently show psychotic symptoms, amnesia, seizures and movement disorders. While brain MRI in NMDAR-ab encephalitis is often normal, abnormalities of cerebral glucose metabolism have been demonstrated by positron emission tomography (PET) with 18F-fluorodeoxyglucose(FDG) in a few usually isolated case reports. However, a common pattern of FDG-PET abnormalities has not been reported. Methods: The authors retrospectively identified six patients with NMDAR-ab encephalitis in two large German centres who underwent at least one whole-body FDG-PET for tumour screening between January 2007 and July 2010. They analysed the pattern of cerebral uptake derived from whole-body PET data for characteristic changes of glucose metabolism compared with controls, and the changes of this pattern during the course of the disease. Results: Groupwise analysis revealed that patients with NMDAR-ab encephalitis showed relative frontal and temporal glucose hypermetabolism associated with occipital hypometabolism. Cross-sectional analysis of the group demonstrated that the extent of these changes is positively associated with clinical disease severity. Longitudinal analysis of two cases showed normalisation of the pattern of cerebral glucose metabolism with recovery. Conclusions: A characteristic change in cerebral glucose metabolism during NMDAR-ab encephalitis is an increased frontotemporal-to-occipital gradient. This pattern correlates with disease severity. Similar changes have been observed in psychosis induced by NMDAR antagonists. Thus, this pattern might be a consequence of impaired NMDAR function

Разработка схемы очистки сточных вод от нефтепродуктов

В дипломной работе рассмотрены происхождение, состав, показатели качества сточных вод, методы очистки сточных вод от нефтепродуктов. Проведены исследования качества сточных вод. Разработаны наиболее эффективные методы очистки сточных вод от нефтепродуктов.The thesis examines the origin, composition, quality indicators of wastewater, methods of wastewater treatment from petroleum products. Research wastewater quality water The most effective methods for treating wastewater from oil products have been developed

T(h)ree steps to improve Bayesian reasoning

Physicians must frequently combine statistical information on prevalence of diseases and on medical tests according to Bayes’ theorem in order to arrive at a correct diagnosis. Such decisionmaking processes are often associated with significant errors of judgment, which have been documented repeatedly with respect to the Bayesian “standard” task (i.e., one disease must be diagnosed based on one medical test). In the present contribution,we generalize the Bayesian reasoning paradigm to medical situations where more than just one medical test is involved and suggest three steps towards a better understanding of that generalized situation, namely, 1) replace probabilities with natural frequencies; 2) present a tree diagram containing natural frequencies; and 3) highlight the two branches of the tree that are relevant for the requested inference

Microbial production of natural and non‐natural monolignols with Escherichia coli

Phenylpropanoids and phenylpropanoid‐derived plant polyphenols find numerous applications in the food and pharmaceutical industries. In recent years, several microbial platform organisms have been engineered towards producing such compounds. However, for the most part, microbial (poly)phenol production is inspired by nature, so naturally occurring compounds have predominantly been produced to date.Here we have taken advantage of the promiscuity of the enzymes involved in phenylpropanoid synthesis and exploited the versatility of an engineered Escherichia coli strain harboring a synthetic monolignol pathway to convert supplemented natural and unnatural phenylpropenoic acids into their corresponding monolignols. The performed biotransformations showed that this strain is able to catalyze the stepwise reduction of chemically interesting unnatural phenylpropenoic acids such as 3,4,5‐trimethoxycinnamic acid, 5‐bromoferulic acid, 2‐nitroferulic acid, and a “bicyclic” p‐coumaric acid derivative, in addition to six naturally occurring phenylpropenoic acids

Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making.

In medicine, diagnoses based on medical test results are probabilistic by nature. Unfortunately, cognitive illusions regarding the statistical meaning of test results are well documented among patients, medical students, and even physicians. There are two effective strategies that can foster insight into what is known as Bayesian reasoning situations: (1) translating the statistical information on the prevalence of a disease and the sensitivity and the false-alarm rate of a specific test for that disease from probabilities into natural frequencies, and (2) illustrating the statistical information with tree diagrams, for instance, or with other pictorial representation. So far, such strategies have only been empirically tested in combination for "1-test cases", where one binary hypothesis ("disease" vs. "no disease") has to be diagnosed based on one binary test result ("positive" vs. "negative"). However, in reality, often more than one medical test is conducted to derive a diagnosis. In two studies, we examined a total of 388 medical students from the University of Regensburg (Germany) with medical "2-test scenarios". Each student had to work on two problems: diagnosing breast cancer with mammography and sonography test results, and diagnosing HIV infection with the ELISA and Western Blot tests. In Study 1 (N = 190 participants), we systematically varied the presentation of statistical information ("only textual information" vs. "only tree diagram" vs. "text and tree diagram in combination"), whereas in Study 2 (N = 198 participants), we varied the kinds of tree diagrams ("complete tree" vs. "highlighted tree" vs. "pruned tree"). All versions were implemented in probability format (including probability trees) and in natural frequency format (including frequency trees). We found that natural frequency trees, especially when the question-related branches were highlighted, improved performance, but that none of the corresponding probabilistic visualizations did