Morbus Hunter : Neutralisationskapazität von Antikörpern unter Enzymersatztherapie und deren klinischen Auswirkungen

Morbus Hunter, eine lysosomale Speicherkrankheit, ist eine seltene, progrediente, x-chromosomal vererbte Stoffwechselkrankheit, die durch ein Defizit an Iduronat-2-sulfatase (IDS) hervorgerufen wird. Als Folge daraus erfolgt kein Abbau von Heparan- und Dermatansulfat und die Glykosaminoglykane reichern sich in de Lysosomen der Zelle an. M. Hunter ist eine Multisystemerkrankung und weist ein breites klinisches Spektrum mit interindividuell unterschiedlichem Krankheitsbeginn, Ausprägungen und Progression der Symptome auf. Seit 2007 besteht die Therapieoption einer Enzymersatztherapie (ERT) mit Elaprase®. Einige Patienten entwickeln Antikörper gegen das substituierte Enzym, welche partiell neutralisierende Eigenschaften besitzen. Ziel dieser Untersuchung war es zu klären, ob die Neutralisationskapazität der gebildeten Antikörper mittels einer Bestimmung im Mischserum festgestellt werden kann und ob persistierende Antikörper mit Neutralisationskapazität zu einer Einschränkung der Wirksamkeit der Enzymersatztherapie führen. Es sollte weiterhin untersucht werden, ob sich mittels Messung der neuronenspezifischen Enolase (NSE) und S-100 Rückschlüsse auf eine neuropathische Beteiligung ziehen lassen, da bis jetzt noch keine klinische oder biochemische Messmethode existiert, die für M. Hunter-Patienten eine verlässliche Vorhersage für eine neuropathische Beteiligung bietet. 30 Patienten wurden in die retrospektive/prospektive Kohortenstudie eingeschlossen. Bei der Bestimmung der IDS-Aktivität im Mischserum mit einem gesunden Menschen zeigten fünf der Patienten (17%) in zwölf Mischseren eine um ≥ 40% reduzierte Aktivität. Zwei (7%) der 30 untersuchten Patienten wurden mit dieser Methode als positiv für persistierende neutralisierende Antikörper identifiziert. Zum gleichen Ergebnis bezüglich der persistierenden neutralisierenden Antikörper führten die Anti-Elaprase®-Immunglobulin-Bestimmungen unter Berücksichtigung des Bestimmungszeitpunkts, die bei Shire Pharmaceuticals durchgeführt wurden. Die Untersuchungsergebnisse lassen den Schluss zu, dass die gebildeten Antikörper auch intraindividuell unterschiedlich sind. Zudem interagieren sie mit den verschiedensten Epitopen des Enzyms der ERT und besitzen nicht alle neutralisierende Eigenschaften. Aufgrund der heterogenen Zusammensetzung folgt die Hemmung der Enzymaktivität vermutlich keiner eindeutigen Kinetik. Anti-Elaprase®-Immunglobulin G spielt für die Neutralisationskapazität jedoch eine wichtige Rolle. Die Auswertung und Beurteilung der Einschränkung der Wirksamkeit der Therapie hervorgerufen durch die Antikörper mit Neutralisationskapazität gestaltete sich kompliziert. Im Ergebnis zeigte sich, dass sich die beiden Patienten mit persistierenden neutralisierenden Antikörpern in der Entwicklung der klinischen Parameter interindividuell stark unterschieden. Um einen Zusammenhang zwischen klinischem Verlauf und Antikörperbildung gegen die ERT zu finden, müssen in einem größeren Patientenkollektiv mehr Patienten mit persistierenden neutralisierenden Antikörpern identifiziert werden und der Einfluss der Antikörper untersucht werden. Die Untersuchung der NSE und S-100 ergab, dass weder die Konzentration der NSE noch der S-100 Rückschlüsse auf die neuropathische Beteiligung des Patienten zulässt.

Comparative functional analysis of factors controlling glial differentiation in Drosophila and mouse

The present study is a comparative functional analysis of three factors controlling glial differentiation in mouse (Fyn Src kinase, hnRNPF/H and NG2) and their homologues in Drosophila (Src42A and 64B, Glorund and Kon-tiki (Kon)). In Drosophila, mutations in any of these genes were not associated with major embryonic neurodevelopmental phenotypes. Src kinases and Glorund were shown to be ubiquitously expressed, whereas kon mRNA showed selective expression in muscles as well as in central and peripheral glia. Kon was also shown to be expressed in L3 larvae with high levels of protein accumulation at the neuromuscular junction (NMJ) and in muscles in the form of speckles. Knockdown of kon in glia resulted in NMJ phenotypes, mainly characterized by a significant increase in bouton number and a reduction in α-Konecto staining intensity at the NMJ. From the three glial layers ensheathing the peripheral nervous system, subperineurial glial showed to be the one contributing the most to kon knockdown dependent NMJ phenotypes, while perineurial glia only had a minor role. The knockdown of kon in glia also showed to affect Glutamate receptor subunit (α-GluRIIA) clustering in the postsynapse, same as microtubule arrangement in the presynapse, as seen by α-Futsch pattern interruptions and alterations. kon knockdown in glia also resulted in impaired axonal transport, as seen by the accumulation of Bruchpilot-positive vesicles along the nerves, abnormal formation of neuronal derived protrusions and swellings, filled with vacuole-like structures. Glia number along the peripheral nerves is also reduced as consequence of kon knockdown. Muscle derived Kon was shown to accumulate at the NMJ and play a role in bouton consolidation and to interfere with phagocytosis of ghost boutons. NMJ bouton and branch number was also significantly increased in Kon overexpression in glia. The overexpression of Kon in glia also resulted in a massive elongation of the ventral nerve cord, which served in a suppressor screen to identify intracellular interaction partners of Kon in glia. It was shown that Kon is processed in glia and preliminary results indicate that the metalloendopeptidase Kuzbanian (the fly homologue of ADAM10) may play a role in the shedding of Konecto. In the present work, Kon is shown as a multifunctional gene with various roles in glia-neuron and glia-neuron-muscle interaction.

The physiological role of APP in the activation of neuroprotective signaling mechanisms

Accumulating evidence indicates that loss of physiological amyloid precursor protein (APP) function leads to enhanced susceptibility of neurons to cellular stress during brain aging. This study investigated the neuroprotective function of the soluble APP ectodomain sAPPα. Recombinant sAPPα protected primary hippocampal neurons and neuroblastoma cells from cell death induced by trophic factor deprivation. This protective effect was abrogated in APP-depleted neurons, but not in APLP1-, APLP2- or IGF1-R-deficient cells, indicating that expression of holo-APP is required for sAPPα-dependent neuroprotection. Strikingly, recombinant sAPPα, APP-E1 domain and the copper-binding growth factor-like domain (GFLD) of APP were able to stimulate PI3K/Akt survival signaling in different wildtype cell models, but failed in APP-deficient cells. An ADAM10 inhibitor blocking endogenous sAPPα secretion exacerbated neuron death in organotypic hippocampal slices subjected to metabolic stress, which could be rescued by exogenous sAPPα. Interestingly, sAPPα-dependent neuroprotection was unaffected in neurons of APP-ΔCT15 mice which lack the intracellular C-terminal YENPTY motif of APP. In contrast, sAPPα-dependent Akt signaling was completely abolished in APP mutant cells lacking the C-terminal G-protein interaction motif and by specifically blocking Gi/o-dependent signaling with pertussis toxin. Collectively, the present thesis provides new mechanistic insights into the physiological role of APP: the data suggest that cell surface APP mediates sAPPα-induced neuroprotection via Go-protein-coupled activation of the Akt pathway.

Blood-CNS barriers in neurodegenerative diseases

The blood-brain barrier (BBB) and the blood-spinal cord barrier (BSCB) separate the brain and the spinal cord from the circulating blood and are important for the maintenance of the CNS homeostasis. They build a physical barrier thereby protecting the CNS from pathogens and toxic agents, and their disruption plays a crucial role in the pathogenesis of several CNS disorders. In this thesis, the blood-CNS-barriers were studied via in vitro models in two case studies for neurodegenerative disorders, in particular Alzheimer’s disease (AD) and amyotrophic lateral sclerosis (ALS). The first model evaluates treatment possibilities of AD using nanotechnology-based strategies. Since the toxic amyloid-β42 (Aβ42) peptide plays a crucial role in the pathogenesis of AD, reduced generation or enhanced clearance of Aβ42 peptides are expected to modify the disease course in AD. Therefore, several Aβ42-lowering drugs like flurbiprofen had been tested in clinical trials, but most of them failed due to their low brain penetration. Here, flurbiprofen was embedded in polylactide (PLA) nanoparticles and its transport was examined in an in vitro BBB model. The embedding of flurbiprofen into the nanoparticles disguised its cytotoxic potential and enabled the administration of higher drug concentrations which resulted in a sufficient transport of the drug across an endothelial cell monolayer. These results demonstrate that non-permeable drugs can be transported efficiently via nanoparticles and that these nanotechnology-based strategies are a promising tool to generate novel therapeutic options for AD and other CNS diseases. rnThe focus of the second project was to investigate the impaired integrity of the BSCB in a mouse model for ALS. About 20% of all familial ALS cases are associated with missense mutations or small deletions in the gene that encodes Cu/Zn-superoxide dismutase 1 (SOD1). To date, the molecular mechanisms resulting in ALS are still unknown, but there is evidence that the disruption of the BSCB is one of the primary pathological events. In both familial and sporadic ALS patients, loss of endothelial integrity and endothelial cell damage was observed, and studies with SOD1 transgenic mice demonstrated that the BSCB disruption was found prior to motor neuron degeneration and neurovascular inflammation. Thus, an in vitro model for ALS endothelial cells was generated which exhibited comparable integrity characteristics and tight junction (TJ) protein expression profiles as isolated primary endothelial cells of the BSCB of SOD1 transgenic mice. In this, an alteration of the βcat/AKT/FoxO1 pathway, which regulates the expression of the TJ protein claudin-5, could be observed. These data furthermore indicate that ALS is a neurovascular disease, and understanding of the primary events in ALS pathogenesis will hopefully provide ideas for the development of new therapeutic strategies. rn

Caratteristiche morfologiche della retina nei Cetacei

Le caratteristiche strutturali dell’occhio dei Cetacei sono state in passato oggetto di studio. Tuttavia, i dati relativi alla stratigrafia della retina ed alle caratteristiche morfologiche dei neuroni gangliari in essa presenti sono piuttosto ridotti; per questo motivo, l’obiettivo della presente ricerca è stato quello di studiare, mediante metodiche di immunoistochimica, l’uso della microscopia ottica e di opportuni software di analisi immagine, le caratteristiche morfologiche della retina e delle cellule gangliari in essa presenti in differenti specie di Cetacei. Per la presente ricerca sono stati utilizzate come specie di riferimento i seguenti Delfinidi: tursiope (Tursiops truncatus) e stenella striata (Stenella coeruleoalba). Le analisi sulle sezioni interessano l’area, la densità dei neuroni gangliari, la stratigrafia della retina e l’analisi morfometrica degli strati e dei neuroni. I risultati ottenuti indicano come la retina del tursiope e della stenella striata, nonostante un'organizzazione di base assai simile a quella degli altri Mammiferi, mostri caratteristiche qualitative sue proprie. Gli strati retinici sono quelli che si osservano in tutti i Mammiferi e lo spessore totale della retina è, nel tursiope (101,23 µm ) e nella stenella striata (108.35 µm ), pressochè simile ai Mammiferi terrestri (110-220 µm). Nell'ambito della retina, lo strato che presento lo spesso medio maggiore è quello dei granuli interni (SNE); tale dato non coincide con quanto osservato in altri Mammiferi. I neuroni gangliari presenti nella retina di tursiope e stenella striata mostrano, analogamente a quanto osservato in altri Cetacei, una bassa densità cellulare. Nel tursiope e nella stenella striata le aree a maggiore densità cellulare presentano neuroni multipolari di dimensioni minori rispetto a quelle con bassa densità. Questo dato potrebbe indicare una "cellularità" (quantità di superficie occupata da cellule) costante nei differenti distretti retinici. I neuroni gangliari presenti nella retina di tursiope e stenella striata sono disposti in un unico strato, come osservato in numerosi altri Cetacei, ma differisce da quanto osservato nel capodoglio (Physeter macrocephalus) dove tali cellule si dispongono in strati multipli. Neuroni gangliari di grandi dimensioni sono stati osservati sia nel tursiope che nella stenella striata. Tale dato coincide con quanto osservato in altri Odontoceti ed in alcuni Misticeti. Allo stato attuale non è ancora stato dato un chiaro significato funzionale alle cellule gangliari giganti. Un possibile ruolo potrebbe essere quello di condurre, in animali di grossa mole, l'impulso nervoso molto velocemente, grazie alla presenza di un assone provvisto di un diametro notevole. Tale interpretazione non è da tutti accettata in quanto Mammiferi terrestri di grandi dimensioni non presentano nella loro retina neuroni gangliari giganti.

Die Rolle der Oligodendrozyten-Vorläuferzellen im Zentralen Nervensystem

Im Fokus dieser Studie stehen die zu den Gliazellen zählenden OPC, sowie das von diesen exprimierte Typ-1 Membranprotein NG2. Dieses wird auf eine Prozessierung durch α- und γ-Sekretase, in Analogie zu Proteinen wie Notch oder APP, untersucht.rnEine solche Prozessierung ginge mit zusätzlichen intrazellulären Spaltprodukten neben der bekannten Ektodomäne einher. Da OPC mit dem Neuronalen Netzwerk durch synaptische Innervierungen in Verbindung stehen, stellt sich die Frage, ob diese mit der Spaltung von NG2 in Verbindung gebracht werden können. Dazu käme mechanistisch beispielsweise eine aktivitätsabhängige Regulierung der Proteolyse, wie sie jüngst für das neuronale synaptische cell adhesion molecule Neuroligin gezeigt werden konnte, in Frage. Zudem werden eine physiologische Rolle der NG2 Ektodomäne bzw. der möglichen intrazellulären Fragmente untersuchen. Insbesondere potentielle neuromodulatorische Funktionen sind hier von Interesse, da diese die OPC tiefer in das Neuronale Netzwerk integrieren würden. Die Existenz eines NG2 Homologes in D. melanogaster, wirft weiterhin die Frage auf, in wie weit diese Mechanismen in diesem Modellsystem konserviert sind.rnIn Analogie zur Lokalisierung von Markerproteinen an Neuron-Neuron Synapsen in vivo, ergibt sich die Frage ob sich die synaptischen Verbindungen zwischen Neuronen und OPC in ähnlicher Weise darstellen lassen.rnEin Charakteristikum von OPC ist die Teilungsaktivität in sich entwickelnden und adulten Säugern. Zudem gibt es Evidenzen für direkte funktionelle Verknüpfungen zwischen dem NG2 Protein und dem Teilungsmodus der OPC. Deshalb war ein weiteres Ziel mögliche Änderungen in der Zellteilung der OPC, die mit dem NG2 Protein in Verbindung stehen könnten, in NG2 -/- Mäusen zu untersuchen.rn

Reinforcement learning in dendritic structures

The discovery of binary dendritic events such as local NMDA spikes in dendritic subbranches led to the suggestion that dendritic trees could be computationally equivalent to a 2-layer network of point neurons, with a single output unit represented by the soma, and input units represented by the dendritic branches. Although this interpretation endows a neuron with a high computational power, it is functionally not clear why nature would have preferred the dendritic solution with a single but complex neuron, as opposed to the network solution with many but simple units. We show that the dendritic solution has a distinguished advantage over the network solution when considering different learning tasks. Its key property is that the dendritic branches receive an immediate feedback from the somatic output spike, while in the corresponding network architecture the feedback would require additional backpropagating connections to the input units. Assuming a reinforcement learning scenario we formally derive a learning rule for the synaptic contacts on the individual dendritic trees which depends on the presynaptic activity, the local NMDA spikes, the somatic action potential, and a delayed reinforcement signal. We test the model for two scenarios: the learning of binary classifications and of precise spike timings. We show that the immediate feedback represented by the backpropagating action potential supplies the individual dendritic branches with enough information to efficiently adapt their synapses and to speed up the learning process.

Reinforcement learning in dendritic structures

The discovery of binary dendritic events such as local NMDA spikes in dendritic subbranches led to the suggestion that dendritic trees could be computationally equivalent to a 2-layer network of point neurons, with a single output unit represented by the soma, and input units represented by the dendritic branches. Although this interpretation endows a neuron with a high computational power, it is functionally not clear why nature would have preferred the dendritic solution with a single but complex neuron, as opposed to the network solution with many but simple units. We show that the dendritic solution has a distinguished advantage over the network solution when considering different learning tasks. Its key property is that the dendritic branches receive an immediate feedback from the somatic output spike, while in the corresponding network architecture the feedback would require additional backpropagating connections to the input units. Assuming a reinforcement learning scenario we formally derive a learning rule for the synaptic contacts on the individual dendritic trees which depends on the presynaptic activity, the local NMDA spikes, the somatic action potential, and a delayed reinforcement signal. We test the model for two scenarios: the learning of binary classifications and of precise spike timings. We show that the immediate feedback represented by the backpropagating action potential supplies the individual dendritic branches with enough information to efficiently adapt their synapses and to speed up the learning process.

Are biochemical markers of neuroendocrine tumors coreleased with insulin following local calcium stimulation in patients with insulinomas?

The objective was to test whether chromogranin A (CgA), neuron-specific enolase (NSE), and pancreatic polypeptide (PP) are released from the pancreas during the selective arterial calcium stimulation and hepatic venous sampling test (ASVS) in patients with insulinomas.

"Anteroposterior Patterning: How the Hox Genes Help Us Tell Our Heads from Our ***es"

The fundamental problem of developmental biology is how a single cell- a fertilized egg- is able to produce an entire organism in all its complexity. One essential aspect of this process is spatial patterning-in essence, instructing cells as to their location in developing body so that they can exhibit characteristics appropriate to their functions. he Hox genes, first discovered in mutant fruit fly "hopeful monsters" with extra pairs of wings or legs growing out of their heads, confer spatial information along the anteroposterior axis in animals from worms to humans. Prof Marin's research focuses on the roles of specific Hox genes in sculpting the developing entral nervous system of the fruit fly and how the same gene can direct a neuron to die, survive, or send its axon in search of different connections, depending on cellular context.

A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations

Synaptic strength depresses for low and potentiates for high activation of the postsynaptic neuron. This feature is a key property of the Bienenstock–Cooper–Munro (BCM) synaptic learning rule, which has been shown to maximize the selectivity of the postsynaptic neuron, and thereby offers a possible explanation for experience-dependent cortical plasticity such as orientation selectivity. However, the BCM framework is rate-based and a significant amount of recent work has shown that synaptic plasticity also depends on the precise timing of presynaptic and postsynaptic spikes. Here we consider a triplet model of spike-timing–dependent plasticity (STDP) that depends on the interactions of three precisely timed spikes. Triplet STDP has been shown to describe plasticity experiments that the classical STDP rule, based on pairs of spikes, has failed to capture. In the case of rate-based patterns, we show a tight correspondence between the triplet STDP rule and the BCM rule. We analytically demonstrate the selectivity property of the triplet STDP rule for orthogonal inputs and perform numerical simulations for nonorthogonal inputs. Moreover, in contrast to BCM, we show that triplet STDP can also induce selectivity for input patterns consisting of higher-order spatiotemporal correlations, which exist in natural stimuli and have been measured in the brain. We show that this sensitivity to higher-order correlations can be used to develop direction and speed selectivity.

Interactions between short-term and long-term plasticity: shooting for a moving target

Far from being static transmission units, synapses are highly dynamical elements that change over multiple time scales depending on the history of the neural activity of both the pre- and postsynaptic neuron. Moreover, synaptic changes on different time scales interact: long-term plasticity (LTP) can modify the properties of short-term plasticity (STP) in the same synapse. Most existing theories of synaptic plasticity focus on only one of these time scales (either STP or LTP or late-LTP) and the theoretical principles underlying their interactions are thus largely unknown. Here we develop a normative model of synaptic plasticity that combines both STP and LTP and predicts specific patterns for their interactions. Recently, it has been proposed that STP arranges for the local postsynaptic membrane potential at a synapse to behave as an optimal estimator of the presynaptic membrane potential based on the incoming spikes. Here we generalize this approach by considering an optimal estimator of a non-linear function of the membrane potential and the long-term synaptic efficacy—which itself may be subject to change on a slower time scale. We find that an increase in the long-term synaptic efficacy necessitates changes in the dynamics of STP. More precisely, for a realistic non-linear function to be estimated, our model predicts that after the induction of LTP, causing long-term synaptic efficacy to increase, a depressing synapse should become even more depressing. That is, in a protocol using trains of presynaptic stimuli, as the initial EPSP becomes stronger due to LTP, subsequent EPSPs should become weakened and this weakening should be more pronounced with LTP. This form of redistribution of synaptic efficacies agrees well with electrophysiological data on synapses connecting layer 5 pyramidal neurons.

Synaptic regulation of spike firing in interneurons of the striatum in vivo

The striatum, the major input nucleus of the basal ganglia, is numerically dominated by a single class of principal neurons, the GABAergic spiny projection neuron (SPN) that has been extensively studied both in vitro and in vivo. Much less is known about the sparsely distributed interneurons, principally the cholinergic interneuron (CIN) and the GABAergic fast-spiking interneuron (FSI). Here, we summarize results from two recent studies on these interneurons where we used in vivo intracellular recording techniques in urethane-anaesthetized rats (Schulz et al., J Neurosci 31[31], 2011; J Physiol, in press). Interneurons were identified by their characteristic responses to intracellular current steps and spike waveforms. Spontaneous spiking contained a high proportion (~45%) of short inter-spike intervals (ISI) of <30 ms in FSIs, but virtually none in CINs. Spiking patterns in CINs covered a broad spectrum ranging from regular tonic spiking to phasic activity despite very similar unimodal membrane potential distributions across neurons. In general, phasic spiking activity occurred in phase with the slow ECoG waves, whereas CINs exhibiting tonic regular spiking were little affected by afferent network activity. In contrast, FSIs exhibited transitions between Down and Up states very similar to SPNs. Compared to SPNs, the FSI Up state membrane potential was noisier and power spectra exhibited significantly larger power at frequencies in the gamma range (55-95 Hz). Cortical-evoked inputs had faster dynamics in FSIs than SPNs and the membrane potential preceding spontaneous spike discharge exhibited short and steep trajectories, suggesting that fast input components controlled spike output in FSIs. Intrinsic resonance mechanisms may have further enhanced the sensitivity of FSIs to fast oscillatory inputs. Induction of an activated ECoG state by local ejection of bicuculline into the superior colliculus, resulted in increased spike frequency in both interneuron classes without changing the overall distribution of ISIs. This manipulation also made CINs responsive to a light flashed into the contralateral eye. Typically, the response consisted of an excitation at short latency followed by a pause in spike firing, via an underlying depolarization-hyperpolarization membrane sequence. These results highlight the differential sensitivity of striatal interneurons to afferent synaptic signals and support a model where CINs modulate the striatal network in response to salient sensory bottom-up signals, while FSIs serve gating of top-down signals from the cortex during action selection and reward-related learning.

Extremes of Lineage Plasticity in the Drosophila Brain

An often-overlooked aspect of neural plasticity is the plasticity of neuronal composition, in which the numbers of neurons of particular classes are altered in response to environment and experience. The Drosophila brain features several well-characterized lineages in which a single neuroblast gives rise to multiple neuronal classes in a stereotyped sequence during development. We find that in the intrinsic mushroom body neuron lineage, the numbers for each class are highly plastic, depending on the timing of temporal fate transitions and the rate of neuroblast proliferation. For example, mushroom body neuroblast cycling can continue under starvation conditions, uncoupled from temporal fate transitions that depend on extrinsic cues reflecting organismal growth and development. In contrast, the proliferation rates of antennal lobe lineages are closely associated with organismal development, and their temporal fate changes appear to be cell-cycle dependent, such that the same numbers and types of uniglomerular projection neurons innervate the antennal lobe following various perturbations. We propose that this surprising difference in plasticity for these brain lineages is adaptive, given their respective roles as parallel processors versus discrete carriers of olfactory information.