Konformationsanalyse und Lipidbindung am rekombinanten Lichtsammlerprotein LHCIIb höherer Pflanzen

Die Struktur des Haupt-Lichtsammlerproteins II (LHCIIb) höherer Pflanzen ist aufgrund kristallographischer Strukturanalysen zu 94% aufgeklärt. Dennoch ist es bislang nicht gelungen, die aminoterminale Region des Komplexes vollständig zu lokalisieren. In einem ersten Abschnitt dieser Dissertation sollte anhand einer vergleichenden Bindungsstudie mit Hilfe von in vitro - Rekonstitutionen des LHCIIb geklärt werden, ob es sich bei dem so genannten N - terminalen Trimerisierungsmotiv des Lichtsammlerproteins um eine Interaktionsstelle mit dem Phospholipid Phosphatidylglyzerin handelt. Dazu wurden mehrere vergleichende Lipidbindungsstudien an rekombinantem Wildtyp - Protein und verschiedenen LHCIIb - Trimerisierungsmotiv - Mutanten durchgeführt, die allerdings nicht zu reproduzierbaren Ergebnissen führten.Im zweiten Teil dieser Arbeit wurden intra- und intermolekulare Distanzmessungen an rekombinantem LHCIIb mit Hilfe der Elektronenspin - Resonanz - Spektroskopie durchgeführt. Dazu wurden zweifach mit einem Spin - Label markierte LHCIIb - Monomere und Trimere mit je einer Markierungsposition pro Monomer benutzt. Im Anschluss an die Messungen wurden die erhaltenen Distanzinformationen zusammen mit den bereits zugänglichen Kristallstrukturdaten des Komplexes für eine Modellierung der aminoterminalen Region des LHCIIb verwendet. Die resultierenden Modelle lassen den Schluss zu, dass es im LHCIIb - Trimer zu konformativen Restriktionen des Aminoterminus kommt. Dem entgegen findet man eine größere konformative Diversität in den vermessenen monomeren Komplexen.

Comparing Different Approaches for Clustering Categorical Data

There are different ways to do cluster analysis of categorical data in the literature and the choice among them is strongly related to the aim of the researcher, if we do not take into account time and economical constraints. Main approaches for clustering are usually distinguished into model-based and distance-based methods: the former assume that objects belonging to the same class are similar in the sense that their observed values come from the same probability distribution, whose parameters are unknown and need to be estimated; the latter evaluate distances among objects by a defined dissimilarity measure and, basing on it, allocate units to the closest group. In clustering, one may be interested in the classification of similar objects into groups, and one may be interested in finding observations that come from the same true homogeneous distribution. But do both of these aims lead to the same clustering? And how good are clustering methods designed to fulfil one of these aims in terms of the other? In order to answer, two approaches, namely a latent class model (mixture of multinomial distributions) and a partition around medoids one, are evaluated and compared by Adjusted Rand Index, Average Silhouette Width and Pearson-Gamma indexes in a fairly wide simulation study. Simulation outcomes are plotted in bi-dimensional graphs via Multidimensional Scaling; size of points is proportional to the number of points that overlap and different colours are used according to the cluster membership.

Ein neues Lumineszenzverfahren zur quantitativen und räumlichen Darstellung von Produkten des Glukosestoffwechsels in Tumoren

Eine neue auf einer Pyruvat abhängigen Biolumineszenzreaktion basierende Methode zur quantitativen Bestimmung und räumlichen Darstellung von Pyruvat in Gefrierschnitten von Gewebeproben wurde entwickelt. Dabei wurden biochemische Reaktionen so verknüpft, dass sichtbares Licht proportional zum eingesetzten Pyruvatgehalt entstand. Eine hoch signifikante positive Korrelation beider Parameter ermöglichte eine Kalibrierung mit definierten Pyruvatgehalten und damit die Quantifizierung in unbekannten Proben. Die Nachweisgrenze lag bei 0,04 pmol Pyruvat mit einer Auflösung von 0,02 µmol/g. Das Biolumineszenzverfahren wurde mit Hilfe anderer Methoden validiert, wobei eine Wiederfindung mit einer konzentrationsabhängigen Abweichung von ≤ 15 % erzielt wurde. Ein wesentlicher Vorteil der neuen Methode gegenüber bisherigen Verfahren zum Pyruvatnachweis liegt in der Messwerterfassung definierter histologischer Gewebsareale. Dies wird durch computergesteuerte Überlagerung von Metabolitverteilungen mit Schnittbildern aus Strukturfärbungen und interaktiver, „optischer Mikrodissektion“ der Gewebeschnitte möglich. Ein weiterer Nutzen der Methode ist deren optionale Kombination mit der Biolumineszenztechnik für andere Stoffwechselprodukte. So ermöglicht eine exakte Superposition zweier Metabolitbilder von unmittelbar aufeinander folgenden Gewebeschnitten eine korrelative Kolokalisationsanalyse beider Metabolite. Das Ergebnis lässt sich zum einen in Form von „Pixel-zu-Pixel“-Korrelationen dokumentieren, zum anderen kann für jeden Bildpunkt ein Laktat/Pyruvat-Verhältnis als Maß für den Redoxzustand des Gewebes berechnet und dargestellt werden. Hieraus ergeben sich z.B. räumliche L/P-Verteilungen (L/P-Karten). Ein solches „Redoximaging“ durch Kartierung des L/P-Quotienten ist bislang mit keinem anderen Verfahren möglich. Während die Entwicklung des Pyruvatnachweises eine Kernaufgabe der vorliegenden Arbeit darstellte, bestand ein weiterer wesentlicher Teil in der praktischen Anwendung der neuen Methode im Bereich der experimentellen Tumorforschung. So ergaben Messungen an acht verschiedenen Linien von humanen HNSCC-Xenotransplantaten (n = 70 Tumoren) einen mittleren Pyruvatgehalt von 1,24 ± 0,20 µmol/g. In sechs Humanbiopsien derselben Tumorentität wurde ein durchschnittlicher Pyruvatgehalt von 0,41 ± 0,09 µmol/g gemessen. Bei den Xenotransplantaten konnte eine signifikante positive Korrelation zwischen der Summe aus Laktat und Pyruvat bzw. dem L/P Verhältnis und der Strahlensensibilität gefunden werden, wobei das L/P-Verhältnis ebenso wie die Summe aus Laktat und Pyruvat maßgeblich von Laktat bestimmt wurden. Der Zusammenhang der Metabolite mit der Strahlensensibilität lässt sich durch deren antioxidative Eigenschaften erklären. Da der Redoxzustand der Zelle kritisch bezüglich der Effizienz von ROS induzierenden Therapieansätzen, wie z.B. Bestrahlung oder bestimmter Chemotherapeutika sein kann, könnte die Bestimmung des L/P Verhältnisses als prognostischer Faktor prädiktive Aussagen über die Sensibilität gegenüber solchen Behandlungen erlauben.

ABCtoolbox: a versatile toolkit for approximate Bayesian computations

Background The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations. Results Here we present ABCtoolbox, a series of open source programs to perform Approximate Bayesian Computations (ABC). It implements various ABC algorithms including rejection sampling, MCMC without likelihood, a Particle-based sampler and ABC-GLM. ABCtoolbox is bundled with, but not limited to, a program that allows parameter inference in a population genetics context and the simultaneous use of different types of markers with different ploidy levels. In addition, ABCtoolbox can also interact with most simulation and summary statistics computation programs. The usability of the ABCtoolbox is demonstrated by inferring the evolutionary history of two evolutionary lineages of Microtus arvalis. Using nuclear microsatellites and mitochondrial sequence data in the same estimation procedure enabled us to infer sex-specific population sizes and migration rates and to find that males show smaller population sizes but much higher levels of migration than females. Conclusion ABCtoolbox allows a user to perform all the necessary steps of a full ABC analysis, from parameter sampling from prior distributions, data simulations, computation of summary statistics, estimation of posterior distributions, model choice, validation of the estimation procedure, and visualization of the results.

Differences between first episode schizophrenia and schizoaffective disorder

Background The diagnostic and clinical overlap between schizophrenia and schizoaffective disorder is an important nosological issue in psychiatry that is yet to be resolved. The aim of this study was to compare the clinical and functional characteristics of an epidemiological treated cohort of first episode patients with an 18-month discharge diagnosis of schizophrenia (FES) or schizoaffective disorder (FESA). Methods This study was part of the larger First Episode Psychosis Outcome Study (FEPOS) which involved a medical file audit study of all 786 patients treated at the Early Psychosis Prevention and Intervention Centre between 1998 and 2000. Of this cohort, 283 patients had an 18-month discharge diagnosis of FES and 64 had a diagnosis of FESA. DSM-IV diagnoses and clinical and functional ratings were derived and validated by two consultant psychiatrists. Results Compared to FES patients, those with FESA were significantly more likely to have a later age of onset (p=.004), longer prodrome (p=.020), and a longer duration of untreated psychosis (p<.001). At service entry, FESA patients presented with a higher illness severity (p=.020), largely due to the presence of more severe manic symptoms (p<.001). FESA patients also had a greater number of subsequent inpatient admissions (p=.017), had more severe depressive symptoms (p=.011), and higher levels of functioning at discharge. Discussion The findings support the notion that these might be considered two discernable disorders; however, further research is required to ascertain the ways and extent to which these disorders are discriminable at presentation and over time.

Gender differences in first episode psychotic mania

Background The aim of this paper was to delineate the impact of gender on premorbid history, onset, and 18 month outcomes of first episode psychotic mania (FEPM) patients. Methods Medical file audit assessment of 118 (male = 71; female = 47) patients with FEPM aged 15 to 29 years was undertaken on clinical and functional measures. Results Males with FEPM had increased likelihood of substance use (OR = 13.41, p < .001) and forensic issues (OR = 4.71, p = .008), whereas females were more likely to have history of sexual abuse trauma (OR = 7.12, p = .001). At service entry, males were more likely to be using substances, especially cannabis (OR = 2.15, p = .047), had more severe illness (OR = 1.72, p = .037), and poorer functioning (OR = 0.96, p = .045). During treatment males were more likely to decrease substance use (OR = 5.34, p = .008) and were more likely to be living with family (OR = 4.30, p = .009). There were no gender differences in age of onset, psychopathology or functioning at discharge. Conclusions Clinically meaningful gender differences in FEPM were driven by risk factors possibly associated with poor outcome. For males, substance use might be associated with poorer clinical presentation and functioning. In females with FEPM, the impact of sexual trauma on illness course warrants further consideration.

Social Cognition And Functional Brain Imaging: Extending The Broader Autism Phenotype

Evidence suggests that the social cognition deficits prevalent in autism spectrum disorders (ASDs) are widely distributed in first degree and extended relatives. This ¿broader autism phenotype¿ (BAP) can be extended into non-clinical populations and show wide distributions of social behaviors such as empathy and social responsiveness ¿ with ASDs exhibiting these behaviors on the lower ends of the distributions. Little evidence has previously shown relationships between self-report measures of social cognition and more objective tasks such as face perception in functional magnetic resonance imaging (fMRI) and event-related potentials (ERPs). In this study, three specific hypotheses were addressed: a) increased social ability, as measured by an increased Empathy Quotient, decreased Social Responsiveness Scale (SRS-A) score, and increased Social Attribution Task score, will predict increased activation of the fusiform gyrus in response to faces as compared to houses; b) these same measures will predict N170 amplitude and latency showing decreased latency and increased amplitude for faces as compared to houses with increased social ability; c) increased amygdala volume will predict increased fusiform gyrus activation when viewing faces as compared to houses. Findings supported all of the hypotheses. Empathy scores significantly predicted both right FFG activation [F(1,20) = 4.811, p = .041, ß = .450, R2 = 0.20] and left FFG activation [F(1,20) = 7.70, p = .012, ß = .537, R2 = 0.29]. Based on ERP results increased right lateralization face-related N170 was significantly predicted by the EQ [F(1,54) = 6.94, p = .011, ß = .338, R2 = 0.11]. Finally, total amygdala volume significantly predicted right [F(1,20) = 7.217, p = .014, ß = .515, R2 = 0.27] and left [F(1,20) = 36.77, p < .001, ß = .805, R2 = 0.65] FFG activation. Consistent with the a priori hypotheses, traits attributed to the BAP can significantly predict neural responses to faces in a non-clinical population. This is consistent with the face processing deficits seen in ASDs. The findings presented here contribute to the extension of the BAP from unaffected relatives of individuals with ASDs to the general population. These findings also give continued evidence in support of a continuous distribution of traits found in psychiatric illnesses in place of a traditional, dichotomous ¿all-or-nothing¿ diagnostic framework of neurodevelopmental and neuropsychiatric disorders.

Locally Efficient Estimation in Censored Data Models: Theory and Examples

In many applications the observed data can be viewed as a censored high dimensional full data random variable X. By the curve of dimensionality it is typically not possible to construct estimators that are asymptotically efficient at every probability distribution in a semiparametric censored data model of such a high dimensional censored data structure. We provide a general method for construction of one-step estimators that are efficient at a chosen submodel of the full-data model, are still well behaved off this submodel and can be chosen to always improve on a given initial estimator. These one-step estimators rely on good estimators of the censoring mechanism and thus will require a parametric or semiparametric model for the censoring mechanism. We present a general theorem that provides a template for proving the desired asymptotic results. We illustrate the general one-step estimation methods by constructing locally efficient one-step estimators of marginal distributions and regression parameters with right-censored data, current status data and bivariate right-censored data, in all models allowing the presence of time-dependent covariates. The conditions of the asymptotics theorem are rigorously verified in one of the examples and the key condition of the general theorem is verified for all examples.

[Inherited alopecia X in Pomeranians]

Four male Pomeranians that showed alopecia with an age of onset between five months and eight years were investigated.The aim of the investigation was to clarify whether the affected dogs had alopecia X and whether their symptoms might be due to a hereditary defect.The four affected dogs showed hairless patches at the root of the tail, at the back, at the limbs from the thigh to the tarsus and at the abdomen. Within the hairless patches some islets with sparse hair were present. In hairless patches the skin was dark pigmented. Besides the alopecia and hyperpigmentation no other symptoms were found according to anamnestic and clinical examination. History, clinical examinations, laboratory diagnostics, and histopathology of skin biopsies allowed the diagnosis of alopecia X in three affected male dogs.The last one of the affected dogs additionally had slightly reduced thyroid hormone levels. Based on identical symptoms and the close relatedness of all four animals, it was assumed that the fourth affected dog also had alopecia X.The available data possibly indicate a monogenic autosomal dominant inheritance, however a recessive inheritance can not be excluded at this time.

Brain connectivity at different time-scales measured with EEG

We present an overview of different methods for decomposing a multichannel spontaneous electroencephalogram (EEG) into sets of temporal patterns and topographic distributions. All of the methods presented here consider the scalp electric field as the basic analysis entity in space. In time, the resolution of the methods is between milliseconds (time-domain analysis), subseconds (time- and frequency-domain analysis) and seconds (frequency-domain analysis). For any of these methods, we show that large parts of the data can be explained by a small number of topographic distributions. Physically, this implies that the brain regions that generated one of those topographies must have been active with a common phase. If several brain regions are producing EEG signals at the same time and frequency, they have a strong tendency to do this in a synchronized mode. This view is illustrated by several examples (including combined EEG and functional magnetic resonance imaging (fMRI)) and a selective review of the literature. The findings are discussed in terms of short-lasting binding between different brain regions through synchronized oscillations, which could constitute a mechanism to form transient, functional neurocognitive networks.

Is pseudophakia a risk factor for neovascular age-related macular degeneration?

PURPOSE: To examine the possible association between pseudophakia and neovascular age-related macular degeneration (AMD). METHODS: Reports of all patients undergoing fluorescein angiography in the authors' department over a 6-year period were retrospectively reviewed. Four hundred ninety-nine patients with recent onset of neovascular AMD in one eye and early age-related maculopathy (ARM) in the fellow eye were included in the study. Lens status (phakic or pseudophakic) in both eyes at the time of onset of neovascular AMD and the time between cataract surgeries (if performed) and onset of neovascular AMD were determined. RESULTS: There was no significant difference in lens status between eyes with neovascular AMD and fellow eyes with early ARM (115/499 [23.0%] vs. 112/499 [22.4%] pseudophakic; P = 0.88, odds ratio 1.035, 95% CI 0.770-1.391). Subgroup analysis revealed no difference between the groups with large drusen, small drusen, or pigmentary changes only (respectively, 20.3% vs. 19.6% pseudophakic, P = 0.92; 20.5% vs. 23.3% pseudophakic, P = 0.84; 33.3% vs. 31.7% pseudophakic, P = 1.0). Pseudophakic eyes with neovascular AMD had not been pseudophakic for a significantly longer period at the time of onset of neovascular AMD than their pseudophakic fellow eyes at the same time point (225.9 +/- 170.4 vs. 209.9 +/- 158.2 weeks, P = 0.27). CONCLUSIONS: The results do not support the hypothesis that pseudophakia is a major risk factor for the development of neovascular AMD.

Monte Carlo source model for photon beam radiotherapy: photon source characteristics

A major barrier to widespread clinical implementation of Monte Carlo dose calculation is the difficulty in characterizing the radiation source within a generalized source model. This work aims to develop a generalized three-component source model (target, primary collimator, flattening filter) for 6- and 18-MV photon beams that match full phase-space data (PSD). Subsource by subsource comparison of dose distributions, using either source PSD or the source model as input, allows accurate source characterization and has the potential to ease the commissioning procedure, since it is possible to obtain information about which subsource needs to be tuned. This source model is unique in that, compared to previous source models, it retains additional correlations among PS variables, which improves accuracy at nonstandard source-to-surface distances (SSDs). In our study, three-dimensional (3D) dose calculations were performed for SSDs ranging from 50 to 200 cm and for field sizes from 1 x 1 to 30 x 30 cm2 as well as a 10 x 10 cm2 field 5 cm off axis in each direction. The 3D dose distributions, using either full PSD or the source model as input, were compared in terms of dose-difference and distance-to-agreement. With this model, over 99% of the voxels agreed within +/-1% or 1 mm for the target, within 2% or 2 mm for the primary collimator, and within +/-2.5% or 2 mm for the flattening filter in all cases studied. For the dose distributions, 99% of the dose voxels agreed within 1% or 1 mm when the combined source model-including a charged particle source and the full PSD as input-was used. The accurate and general characterization of each photon source and knowledge of the subsource dose distributions should facilitate source model commissioning procedures by allowing scaling the histogram distributions representing the subsources to be tuned.

Transdermal nitroglycerin in patients with subarachnoid hemorrhage

Delayed ischemic neurological deficit (DIND) following cerebral vasospasm remains a cause for high morbidity and mortality in patients with subarachnoid hemorrhage (SAH). There is experimental and clinical evidence of positive effects of nitric oxide (NO) donors on cerebral vasospasm. We therefore analysed the effect of transdermal nitroglycerin in patients with SAH measuring transcranial Doppler velocities (TCD), cerebral blood flow (CBF) and DIND. Nitroglycerin was used in a target dose of 14 microg/kg/h. TCD assessment was performed daily. CBF measurements were done using the perfusion CT-technique. Blood pressure, volume intake and vasopressor administration, were registered. Nine patients were randomly assigned either to the nitroglycerin group (N-group) and eight patients in the control group (C-group). Mean TCD values in the extracranial portion of the internal carotid artery (ICA) were lower in the N-group (p<0.005). Mean TCD in the middle cerebral arteries (MCA) showed no difference. The Lindegaard ratio was higher in the N-group (p<0.04). CBF in the N-group was higher than in the C-group (p<0.03). Even though nitroglycerin reduces blood pressure and lowers ICA TCD-values and increases the Lindegaard ratio, a higher CBF was measured in the N-group. Thus, nitroglycerin influences the cerebral vascular tone and increases CBF. SAH therapy with nitroglycerin is possible without increasing the risk of DIND. The exact timing of onset, duration and reduction of nitroglycerin administration in respect to the appearance of vasospasm may have a strong impact on the success of such a therapy.

Fibromatosis in a young Bernese Mountain Dog: clinical, imaging, and histopathological findings

A young, intact, male Bernese Mountain Dog was presented to the animal hospital for lameness and diffuse thickening of the soft tissue in the right hind limb. Magnetic resonance imaging revealed multiple, multilobular, space-occupying lesions within and between the muscles of the right femur. Biopsies taken from the lesions revealed an infiltrative mass composed mainly of collagen fibers and a low density of benign-appearing fibroblasts. These findings were compatible with a diagnosis of a fibromatosis. Taking the age of onset into account, infantile fibromatosis was most likely. A deep fibromatosis, similar to that seen in adults, could not be excluded based on histology.

Time to renal disease and end-stage renal disease in PROFILE: a multiethnic lupus cohort.

BACKGROUND: Renal involvement is a serious manifestation of systemic lupus erythematosus (SLE); it may portend a poor prognosis as it may lead to end-stage renal disease (ESRD). The purpose of this study was to determine the factors predicting the development of renal involvement and its progression to ESRD in a multi-ethnic SLE cohort (PROFILE). METHODS AND FINDINGS: PROFILE includes SLE patients from five different United States institutions. We examined at baseline the socioeconomic-demographic, clinical, and genetic variables associated with the development of renal involvement and its progression to ESRD by univariable and multivariable Cox proportional hazards regression analyses. Analyses of onset of renal involvement included only patients with renal involvement after SLE diagnosis (n = 229). Analyses of ESRD included all patients, regardless of whether renal involvement occurred before, at, or after SLE diagnosis (34 of 438 patients). In addition, we performed a multivariable logistic regression analysis of the variables associated with the development of renal involvement at any time during the course of SLE.In the time-dependent multivariable analysis, patients developing renal involvement were more likely to have more American College of Rheumatology criteria for SLE, and to be younger, hypertensive, and of African-American or Hispanic (from Texas) ethnicity. Alternative regression models were consistent with these results. In addition to greater accrued disease damage (renal damage excluded), younger age, and Hispanic ethnicity (from Texas), homozygosity for the valine allele of FcgammaRIIIa (FCGR3A*GG) was a significant predictor of ESRD. Results from the multivariable logistic regression model that included all cases of renal involvement were consistent with those from the Cox model. CONCLUSIONS: Fcgamma receptor genotype is a risk factor for progression of renal disease to ESRD. Since the frequency distribution of FCGR3A alleles does not vary significantly among the ethnic groups studied, the additional factors underlying the ethnic disparities in renal disease progression remain to be elucidated.