Preliminary results of an ICP-controlled subarachnoid hemorrhage rabbit model for the study of delayed cerebral vasospasm

INTRODUCTION: Intracisternal blood injection is the most common applied experimental subarachnoid bleeding technique in rabbits. The model comprises examiner-dependent variables and does not closely represent the human pathophysiological sequelae of ruptured cerebral aneurysm. The degree of achieved delayed cerebral vasospasm (DCVS) in this model is often mild. The aim of this study was to characterize and evaluate the feasibility of a clinically more relevant experimental SAH in vivo model. SAH was performed by arterial blood shunting from the subclavian artery into the great cerebral cistern. A total of five experiments were performed. Intracranial pressure (ICP), arterial blood pressure, heart rate, arterial blood gas analysis, and neurological status were monitored throughout the experiments. SAH induced vasoconstriction of the basilar artery was 52.1±3.4% on day 3 compared to baseline (P<0.05). Post-mortem gross examination of the brain showed massive blood clot accumulation around the brainstem and ventral surface of the brain. The novel technique offers an examiner independent SAH induction and triggers high degrees of delayed cerebral vasospasm. The severity of vasospasm attained offers a unique opportunity to evaluate future therapeutic treatment options.

ECM versus ICP for point registration

Iterative Closest Point (ICP) is a widely exploited method for point registration that is based on binary point-to-point assignments, whereas the Expectation Conditional Maximization (ECM) algorithm tries to solve the problem of point registration within the framework of maximum likelihood with point-to-cluster matching. In this paper, by fulfilling the implementation of both algorithms as well as conducting experiments in a scenario where dozens of model points must be registered with thousands of observation points on a pelvis model, we investigated and compared the performance (e.g. accuracy and robustness) of both ICP and ECM for point registration in cases without noise and with Gaussian white noise. The experiment results reveal that the ECM method is much less sensitive to initialization and is able to achieve more consistent estimations of the transformation parameters than the ICP algorithm, since the latter easily sinks into local minima and leads to quite different registration results with respect to different initializations. Both algorithms can reach the high registration accuracy at the same level, however, the ICP method usually requires an appropriate initialization to converge globally. In the presence of Gaussian white noise, it is observed in experiments that ECM is less efficient but more robust than ICP.

The macromolecular complex of ICP and falcipain-2 from Plasmodium: preparation, crystallization and preliminary X-ray diffraction analysis

The malaria parasite Plasmodium depends on the tight control of cysteine-protease activity throughout its life cycle. Recently, the characterization of a new class of potent inhibitors of cysteine proteases (ICPs) secreted by Plasmodium has been reported. Here, the recombinant production, purification and crystallization of the inhibitory C-terminal domain of ICP from P. berghei in complex with the P. falciparum haemoglobinase falcipain-2 is described. The 1:1 complex was crystallized in space group P4(3), with unit-cell parameters a = b = 71.15, c = 120.09 A. A complete diffraction data set was collected to a resolution of 2.6 A.