Biosynthesis of Angiotensinogen and Angiotensins by Brain Cells in Primary Culture

This study focuses on the ability of primary rat brain cells in culture to synthesize angiotensinogen, angiotensin I, and angiotensin II. HPLC in combination with radioimmunoassay was used to characterize these compounds. Following incubation with 3H-labeled isoleucine, radioactively labeled angiotensinogen with an approximate molecular weight of 25,000 was identified in both glial and neuronal cells. Other molecular weight forms of angiotensinogen with molecular weights of about 300 and 160,000 were present in both cell types. In addition to angiotensinogen, radioactively labeled angiotensin I and angiotensin II were also synthesized by neuronal and glial cells. These results suggest that glial and neuronal cells can synthesize angiotensinogen, angiotensin I, and angiotensin II in a similar manner shown for the peripheral renin angiotensin system.     

Über die Veränderung der Wasserpermeabilität von Kartoffelknollen Während der Lagerzeit und Durch Cumarin

Ohne ZusammenfassungMit 1 Textabbildung.     

Incidental and Intentional Learning of Verbal Episodic Material Differentially Modifies Functional Brain Networks

Learning- and memory-related processes are thought to result from dynamic interactions in large-scale brain networks that include lateral and mesial structures of the temporal lobes. We investigate the impact of incidental and intentional learning of verbal episodic material on functional brain networks that we derive from scalp-EEG recorded continuously from 33 subjects during a neuropsychological test schedule. Analyzing the networks'' global statistical properties we observe that intentional but not incidental learning leads to a significantly increased clustering coefficient, and the average shortest path length remains unaffected. Moreover, network modifications correlate with subsequent recall performance: the more pronounced the modifications of the clustering coefficient, the higher the recall performance. Our findings provide novel insights into the relationship between topological aspects of functional brain networks and higher cognitive functions.     

Coordinate Dependence of Variability Analysis

Analysis of motor performance variability in tasks with redundancy affords insight about synergies underlying central nervous system (CNS) control. Preferential distribution of variability in ways that minimally affect task performance suggests sophisticated neural control. Unfortunately, in the analysis of variability the choice of coordinates used to represent multi-dimensional data may profoundly affect analysis, introducing an arbitrariness which compromises its conclusions. This paper assesses the influence of coordinates. Methods based on analyzing a covariance matrix are fundamentally dependent on an investigator''s choices. Two reasons are identified: using anisotropy of a covariance matrix as evidence of preferential distribution of variability; and using orthogonality to quantify relevance of variability to task performance. Both are exquisitely sensitive to coordinates. Unless coordinates are known a priori, these methods do not support unambiguous inferences about CNS control. An alternative method uses a two-level approach where variability in task execution (expressed in one coordinate frame) is mapped by a function to its result (expressed in another coordinate frame). An analysis of variability in execution using this function to quantify performance at the level of results offers substantially less sensitivity to coordinates than analysis of a covariance matrix of execution variables. This is an initial step towards developing coordinate-invariant analysis methods for movement neuroscience.