Chiral lumazines: Preparation,properties, enantiomeric separation

Optically active lumazines (biolumazine, dictyolumazine, monalumazine, and neolumazine) are prepared from the corresponding pterins by enzymatic reaction, using pterin deaminase excreted by Dictyostelium discoideum. The fluorescence properties, circular dichroism spectra, and chromatographic behavior of these lumazines are studied. D - and L -enantiomers of biolumazine, dictyolumazine, and monalumazine are separated using a chiral flavoprotein column. This column also separates the enantiomeric pterins of the threo form: monapterin and dictyopterin. However, the column does not separate the enantiomeric pterins of the erythro form: neopterin and biopterin. By coupling a reverse-phase column to the flavoprotein column, the separation of pterins and lumazines in function of their hydrophobicity, as well as the separation of the diastereomers, is achieved. This coupled achiral/chiral high-performance liquid chromatography method enables determination of the stereoconfiguration of natural lumazines by comparison with optically pure compounds. A lumazine derivative, present in the extracellular medium of Dictyostelium discoideum, is identified as D -dictyolumazine, i.e., 6-(D -threo-1,2-dihydroxypropyl)-lumazine. © 1994 Wiley-Liss, Inc.     

Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity

We present a novel computational model that detects temporal configurations of a given human neuronal pathway and constructs its artificial replication. This poses a great challenge since direct recordings from individual neurons are impossible in the human central nervous system and therefore the underlying neuronal pathway has to be considered as a black box. For tackling this challenge, we used a branch of complex systems modeling called artificial self-organization in which large sets of software entities interacting locally give rise to bottom-up collective behaviors. The result is an emergent model where each software entity represents an integrate-and-fire neuron. We then applied the model to the reflex responses of single motor units obtained from conscious human subjects. Experimental results show that the model recovers functionality of real human neuronal pathways by comparing it to appropriate surrogate data. What makes the model promising is the fact that, to the best of our knowledge, it is the first realistic model to self-wire an artificial neuronal network by efficiently combining neuroscience with artificial self-organization. Although there is no evidence yet of the model’s connectivity mapping onto the human connectivity, we anticipate this model will help neuroscientists to learn much more about human neuronal networks, and could also be used for predicting hypotheses to lead future experiments.     

Head-up suspension in humans: effects on sympathetic vasomotor activity and cardiovascular responses

Wehypothesized that muscle sympathetic nerve activity (MSNA) andcardiovascular responses to the conventional head-up tilt (HUT) aredifferent from those to head-up suspension (HUS) because of antigravitymuscle activity. The MSNA from the tibial nerve, heart rate, bloodpressure, stroke volume, cardiac output, and calf blood flow weremeasured in 13 healthy young subjects. Left atrial diameter wasmeasured by two-dimensional echocardiography in another nine subjects.The resting MSNA and cardiovascular responses at a low level (20°)of orthostasis were similar during both modes. At higher levels (40 and60°), the responses of MSNA, heart rate, stroke volume, and cardiacoutput were significantly stronger and there was a smaller reduction incalf blood flow during HUT than during HUS(P < 0.05). Left atrial diameter was decreased significantly from the resting values during HUT and HUSwithout any significant difference between the modes of orthostasis. The results provide evidence that the engagement of antigravity musclesduring HUT may have additive effects on sympathetic vasoconstrictor andcardiovascular responses to orthostatic stress.