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Endothelial cells and the pathogenesis of lepromatous neuritis:insights from the armadillo model.

Selective infection of peripheral nerves is a unique property of Mycobacterium leprae that results in serious injury, but its basis is unexplained. Recent evidence from infected armadillos suggests that endothelial cells of peripheral nerve vasculature may be the gatekeepers by which M. leprae infects nerves. The pathogenesis of neuropathy in leprosy may thus entail a dynamic sequence of adhesion, immunologic, and inflammatory processes involving peripheral nerve endothelial cells.

Animals↗

Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit.

Nearly all models of direction selectivity (DS) in visual cortex are based on feedforward connection schemes, where geniculate input provides all excitatory synaptic input to both pyramidal and inhibitory neurons. Feedforward inhibition then suppresses feedforward excitation for nonoptimal stimuli. Anatomically, however, the majority of asymmetric, excitatory, synaptic contacts onto cortical cells is provided by other cortical neurons, as embodied in the Canonical Microcircuit of Douglas and Martin (1991). In this view, weak geniculate input is strongly amplified in the preferred direction by the action of intracortical excitatory connections, while in the null direction inhibition reduces geniculate-induced excitation. We investigate analytically and through biologically realistic computer simulations the functioning of a cortical network based on massive excitatory, cortico-cortical feedback. The behavior of this network is compared to physiological data as well as to the behavior of a purely feedforward model of DS based on nonlagged input. Our model explains a number of puzzling features of direction selective simple cells, including the small somatic input conductance changes that have been measured experimentally during stimulation in the null direction, and the persistence of DS while fully blocking inhibition in a single cell. Although the operation at the heart of our network is amplification, the network passes the linearity test of (Jagadeesh et al., 1993). We make specific predictions concerning the effect of selective blockade of cortical inhibition on the velocity-response curve.

Animals↗

Genetic variation in a host-parasite association: potential for coevolution and frequency-dependent selection.

Models of host-parasite coevolution assume the presence of genetic variation for host resistance and parasite infectivity, as well as genotype-specific interactions. We used the freshwater crustacean Daphnia magna and its bacterial microparasite Pasteuria ramosa to study genetic variation for host susceptibility and parasite infectivity within each of two populations. We sought to answer the following questions: Do host clones differ in their susceptibility to parasite isolates? Do parasite isolates differ in their ability to infect different host clones? Are there host clone-parasite isolate interactions? The analysis revealed considerable variation in both host resistance and parasite infectivity. There were significant host clone-parasite isolate interactions, such that there was no single host clone that was superior to all other clones in the resistance to every parasite isolate. Likewise, there was no parasite isolate that was superior to all other isolates in infectivity to every host clone. This form of host clone-parasite isolate interaction indicates the potential for coevolution based on frequency-dependent selection. Infection success of original host clone-parasite isolate combinations (i.e., those combinations that were isolated together) was significantly higher than infection success of novel host clone-parasite isolate combinations (i.e., those combinations that were created in the laboratory). This finding is consistent with the idea that parasites track specific host genotypes under natural conditions. In addition, correspondence analysis revealed that some host clones, although distinguishable with neutral genetic markers, were susceptible to the same set of parasite isolates and thus probably shared resistance genes.

Animals↗

Nitric oxide induction in a rat model of selective pancreatic ischemia and reperfusion.

BACKGROUND/AIMS: Ischemia and reperfusion of the pancreas may be important in aggravating the course of acute pancreatitis. In a rat model of selective pancreatic ischemia and reperfusion, we studied plasma levels of nitric oxide and expression of nitric oxide synthase in the pancrease and lung. METHODOLOGY: Pancreatic ischemia was achieved by occlusion of the 4 main pancreatic arteries for 40 min; this was followed by a 7-hour reperfusion period (group A, 10 rats). Outcome measures were compared with those of animals undergoing a sham operation (group B, 10 rats). RESULTS: Pancreatic damage in group A animals was demonstrated by increased serum alpha-amylase and by macroscopic and microscopic evidence. Total nitric oxide synthase activity in pancrease and lung was higher than in shams [median: 0.73 vs. 0.54 pmol/mg protein/min in the pancreas (P = 0.0082); 1.38 vs. 0.68 pmol/mg protein/min in the lung (P = 0.023)]; this was mainly due to activation of the inducible isoform of the enzyme. There was an associated 58.2% increase in plasma levels of nitric oxide metabolites [from mean 55.0 to 131.6 mumol/L (P < 0.001)]. Immunohistochemistry confirmed expression of inducible nitric oxide synthase and nitric oxide-mediated oxidative damage (nitrotyrosine) in both pancreas and lung. CONCLUSIONS: Ischemia and reperfusion of the pancreas induces pancreatic damage, overexpression of inducible nitric oxide synthase and oxidative damage within the pancreas and lung.

Animals↗

Anti-human CD4 induces peripheral tolerance in a human CD4+, murine CD4-, HLA-DR+ advanced transgenic mouse model.

Selection in vivo of potent mAbs to human CD4 useful for immunotherapy, e.g., for the induction of immunological tolerance, is restricted for ethical reasons. We therefore used multiple transgenic mice that lack murine CD4, but express human CD4 specifically on Th cells, and HLA-DR3 as its natural counterligand (CD4/DR3 mice). The injection of CD4/DR3 mice with anti-human CD4 (mAb Max.16H5) before immunization with tetanus toxoid (TT, day 0) totally blocked the formation of specific Abs. This state of unresponsiveness persisted a subsequent boost again performed in the presence of anti-human CD4. When these mice were left untreated for at least 40 days, and were then re-exposed with TT, but in the absence of anti-human CD4, they consistently failed to induce specific Abs (long-term unresponsiveness). Exposure to second party Ags (hen egg lysozyme, human acetylcholine receptor) induced specific Abs comparable with control mice, demonstrating that the anti-CD4-induced unresponsiveness was Ag specific (immunological tolerance). Importantly, the concurrent injection of TT and anti-human CD4 at day 0, followed by another two anti-CD4 treatments, also led to tolerant animals, indicating that tolerance was inducible at the same day as the Ag exposure is provided. We finally demonstrate a limited ability of spleen cells to respond to TT in vitro, indicating that T cells are essentially involved in the maintenance of TT-specific tolerance. These data show for the first time that the human CD4 coreceptor mediates tolerance-inducing signals when triggered by an appropriate ligand in vivo.

Animals↗

Local bifurcations in the symmetric model of selection with fertility differences.

The analysis of difference equations in population dynamics is frequently confined to the calculation of fixed points and the determination of their stability. In general it is not possible to deduce much about the global behavior of the system from such information. This paper presents a study of the bifurcations of fixed points in the symmetric model of selection with fertility differences. Equivalent methods can be applied to other continuous and discrete models to study the dynamics in the vicinity of fixed points in a systemic way and as a first step in an analysis of the global dynamics.

Animals↗

Breast cancer chemoprevention trials using the fine-needle aspiration model.

Selection of surrogate endpoint biomarkers (SEBs) and appropriate study design are two of the main challenges in evaluating potential chemopreventive agents. In a prospective random fine-needle aspiration (FNA) study of women at high risk of development of breast cancer, we previously demonstrated that cytologic evidence of epithelial hyperplasia with or without atypia, as well as abnormalities of several cellular biomarkers (DNA ploidy; immunocytochemical expression of p53, EGFR, ER, and/or Her-2/neu), were more prevalent in high-risk women than in low-risk controls. We also demonstrated that the subsequent development of breast cancer was best predicted by an initial presentation of hyperplasia with atypia, as well as by multiple biomarker abnormalities. These findings indicate that FNA cytology and biomarkers can be used to identify women who are appropriate subjects for chemoprevention trials, and can then be used as surrogate endpoint biomarkers to monitor efficacy of potential agents. An example of this use in an ongoing single-agent phase II trial is provided. Several options for study design of possible multi-agent breast cancer chemoprevention trials are discussed, depending upon the existing preclinical and clinical data, the questions being asked, and the number of eligible subjects available.

Antineoplastic Agents↗

Knowledge Model for Selecting and Producing Reaching Movements.

This article presents a new model of reaching control. The aim of the model is to characterize the computations underlying the selection of coordinated motion patterns among the limb segments. When a spatial target is selected, stored postures are evaluated for the contributions they can make to the task, and a special weighted average (the gaussian average) is taken of the postures to find a single target posture. Movement to the target posture is achieved without explicit planning of the trajectory. Rather, the reaching motion is driven by error correction (reducing the discrepancy between the current and target posture) shaped by inertia. The model solves the degrees-of-freedom problem for reaching. It also allows joints to compensate automatically for reduced mobility of other joints and explains established effects of practice, speed-accuracy trade-off, and kinematics. The model can be extended to other tasks and motor subsystems because of the generality of its underlying concepts.

Journal Article↗

Value of four models for selecting patients for local excision of invasive squamous cell carcinoma of the vulva.

For 75 women with squamous cell carcinoma of the vulva who underwent radical vulvectomy and inguinofemoral lymphadenectomy, the authors assessed the efficacy of four models for selecting patients who could have been treated adequately with local excision of the tumor. Each of the three models proposed by Andreasson and Nyboe covered 25% of the patients, none of whom had groin metastases or died of cancer. Local recurrence in the vulva occurred in 10%. A model suggested by the International Society for the Study of Vulvar Disease covered almost 10% of the patients. One of seven patients had groin metastases, none died of cancer, and one of seven developed local recurrence in the vulva. The criteria of the clinically best suited model are tumor not situated on the clitoris and less than 4 cm in diameter, with only slight hyperchromasia. This model ought to be tested in a randomized study.

Adult↗

Discussion of neural-specificity model of selective attention: a response to Hillyard and Mangun and to Näätänen.

Hillyard and Mangun (this issue) and Näätänen (this issue) have made a number of reflective, important observations in regard to the model we described in our earlier paper (Harter & Aine, 1984). The attention they have given to our paper and model is greatly appreciated and has helped us more clearly conceptualize some of the assertions and observations set forth in our original paper. The scholarly contributions of Hillyard, Näätänen, and their colleagues during the last 20 years, along with those by others related to the neurophysiology and neuroanatomy of the visual system, have led us to propose the somewhat different perspective represented by the neural specificity model of selective attention. Hillyard's and Mangun's and then Näätänen comments will be abstracted and discussed in order.

Attention↗

Patient-specific analysis of sequential haematological data by multiple linear regression and mixture distribution modelling.

Automated storage and analysis of the results of serial haematologic studies are now technically feasible with present-day laboratory instruments and devices for data storage and processing. In current practice, physicians mentally compare a laboratory result with previous values and use their clinical judgement to determine the significance of any change. To provide a statistical basis for this process, we describe a new approach for the detection of changes in patient-specific sequential measurements of standard haematologic laboratory tests. These methods include hierarchical multiple regression modelling, with a weighted minimum risk criteria for model selection, to choose models indicating changes in mean values over time. This study is the first to analyse sequential patient-specific distributions of laboratory measurements, utilizing mixture distribution modelling with systematic selection of starting values for the EM algorithm. To evaluate these statistical methods under controlled conditions, we studied 11 healthy human volunteers who were depleted of iron by serial phlebotomy to iron-deficiency anaemia, then treated with oral iron supplements to replete iron stores and correct the anaemia. Application of sequential patient-specific analyses of haemoglobin, haematocrit, and mean cell volume showed that significant departures from past values could be identified, in many cases, even when values were still within the population reference ranges. Additionally, for all subjects sequential alterations in red blood cell volume distributions during development of iron-deficiency anaemia could be characterized and quantified. These methods promise to provide more sensitive techniques for improved diagnostic evaluation of developing anaemia and serial monitoring of response to therapy.

Administration, Oral↗

Disambiguating ambiguous figures by a model of selective attention.

Ambiguous figures are visual stimuli which are interpreted multiply by the human visual system. A model is proposed which disambiguates the ambiguous figures. The model was formulated based on the characteristics of visual information processing, accompanied with selective attention. In the ambiguous figure "my husband and my father-in-law", it was necessary to simulate visual information processing so that attention was directed to the multiple features in the figure to disambiguate the ambiguous figure. Pictures, obtained from the model, were examined as to whether they were interpreted unambiguously or not. Results show that the model, simulated selective attention, can disambiguate the ambiguous figures. This suggests that the image per se, viewed through selective attention, becomes unambiguous before the figure is interpreted in the higher level. Results also show that the computer simulation of selective attention would make it possible to examine factors affecting the initial interpretation of the figure.

Attention↗

Testing models of selection and demography in Drosophila simulans.

We analyze patterns of nucleotide variability at 15 X-linked loci and 14 autosomal loci from a North American population of Drosophila simulans. We show that there is significantly more linkage disequilibrium on the X chromosome than on chromosome arm 3R and much more linkage disequilibrium on both chromosomes than expected from estimates of recombination rates, mutation rates, and levels of diversity. To explore what types of evolutionary models might explain this observation, we examine a model of recurrent, nonoverlapping selective sweeps and a model of a recent drastic bottleneck (e.g., founder event) in the demographic history of North American populations of D. simulans. The simple sweep model is not consistent with the observed patterns of linkage disequilibrium nor with the observed frequencies of segregating mutations. Under a restricted range of parameter values, a simple bottleneck model is consistent with multiple facets of the data. While our results do not exclude some influence of selection on X vs. autosome variability levels, they suggest that demography alone may account for patterns of linkage disequilibrium and the frequency spectrum of segregating mutations in this population of D. simulans.

Animals↗

The expectancy bias model of selective associations: the relationship of judgements of CS dangerousness, CS-UCS similarity and prior fear to a priori and a posteriori covariation assessments.

This paper describes three experiments examining predictions from the expectancy bias model of selective associations (Davey, 1995). In a simulated 'threat' conditioning procedure, Experiment 1 showed that UCS expectancy following both ontogenetic and phylogenetic CSs was significantly predicted by: (1) ratings of the dangerousness of the CS, perceptions of CS-UCS similarity, and level of prior fear to the CS; and (2) ratings of CS-UCS similarity on the dimensions of valence, arousal and anxiety. Experiment 2 used a covariation assessment procedure which confirmed the findings of Experiment 1, and also showed that both phylogenetic and ontogenetic fear-relevant CSs exhibited both a priori and a posteriori covariation biases. Experiment 3 found that Ss high and low in fear to a fear-relevant CS exhibited a significant a priori UCS expectancy bias, but this bias was significantly larger in high fear Ss. Only high fear Ss exhibited an a posteriori covariation bias. These results are consistent with predictions from the expectancy bias model.

Adolescent↗

Developing an efficient model to select emergency department patient satisfaction improvement strategies.

STUDY OBJECTIVE: Patient satisfaction is an important performance measure for emergency departments (EDs), but the most efficient ways of improving satisfaction are unclear. This study uses optimization techniques to identify the best possible combination of predictors of overall patient satisfaction to help guide improvement efforts. METHODS: The results of a satisfaction survey from 20,500 patients who visited 123 EDs were used to develop ordinal logistic regression models for overall quality of care, overall medical treatment, willingness to recommend the ED to others, and willingness to return to the same ED. Originally, 68,981 surveys were mailed, and 20,916 were returned, representing an overall response rate of 30.3%. We then incorporated these regressions into an optimization model to select the most efficient combination of predictors necessary to increase the 4 overall satisfaction measures by 5%. A sensitivity analysis was also conducted to explore differences across hospital peer groups and regions. RESULTS: Results differ slightly for each of the 4 overall satisfaction measures. However, 4 predictors were common to all of these measures: "perceived waiting time to receive treatment," "courtesy of the nursing staff," "courtesy of the physicians," and "thoroughness of the physicians." The selected predictors were not necessarily the strongest predictors identified through regression models. The optimization model suggests that most of these predictors must be improved by 15% to increase the overall satisfaction measures by 5%. CONCLUSION: This study introduces the use of optimization techniques to study ED patient satisfaction and highlights an opportunity to apply this technique to widely collected data to help inform hospitals' improvement strategies. The results suggest that hospitals should focus most of their improvement efforts on the 4 predictors mentioned above.

Adolescent↗

[Neurodarvinism: models of selection of neuronal groups].

Concept of neurodarvinism is regarded in the context of simulation of the "natural" and "artificial" selection of neurons, synapses and neuronal groups. "Natural" selection of neurons is based on mobile devices built of neuron-like elements. These devices should be capable for adaptation to real surrounding. "Artificial" selection of neurons is performed using computerized "neurointelligence" model operating in a virtual environment. Comparison of the models suggests the advantage of the integration of these approaches.

Artificial Intelligence↗

Selecting representative model micro-organisms.

BACKGROUND: Micro-biological research relies on the use of model organisms that act as representatives of their species or subspecies, these are frequently well-characterized laboratory strains. However, it has often become apparent that the model strain initially chosen does not represent important features of the species. For micro-organisms, the diversity of their genomes is such that even the best possible choice of initial strain for sequencing may not assure that the genome obtained adequately represents the species. To acquire information about a species' genome as efficiently as possible, we require a method to choose strains for analysis on the basis of how well they represent the species. RESULTS: We develop the Best Total Coverage (BTC) method for selecting one or more representative model organisms from a group of interest, given that rough genetic distances between the members of the group are known. Software implementing a "greedy" version of the method can be used with large data sets, its effectiveness is tested using both constructed and biological data sets. CONCLUSION: In both the simulated and biological examples the greedy-BTC method outperformed random selection of model organisms, and for two biological examples it outperformed selection of model strains based on phylogenetic structure. Although the method was designed with microbial species in mind, and is tested here on three microbial data sets, it will also be applicable to other types of organism.

Bacteria↗

Movement trajectories in the presence of a distracting stimulus: evidence for a response activation model of selective reaching.

Consistent with action-based theories of attention, the presence of a nontarget stimulus in the environment has been shown to alter the characteristics of goal-directed movements. Specifically, it has been reported that movement trajectories veer away from (Howard & Tipper, 1997) or towards (Welsh, Elliott, & Weeks, 1999) the location of a nontarget stimulus. The purpose of the experiments reported in this paper was to test a response activation model of selective reaching conceived to account for these variable results. In agreement with the model, the trajectory changes in the movements appear to be determined by the activation levels of each competing response at the moment of response initiation. The results of the present work, as well as those of previous studies, are discussed within the framework of the model of response activation.

Adult↗