Substrate elasticity induces quiescence and promotes neurogenesis of primary neural stem cells-A biophysical in vitro model of the physiological cerebral milieu.

In the brain, neural stem cells (NSC) are tightly regulated by external signals and biophysical cues mediated by the local microenvironment or "niche." In particular, the influence of tissue elasticity, known to fundamentally affect the function of various cell types in the body, on NSC remains poorly understood. We, accordingly, aimed to characterize the effects of elastic substrates on critical NSC functions. Primary rat NSC were grown as monolayers on polydimethylsiloxane- (PDMS-) based gels. PDMS-coated cell culture plates, simulating the physiological microenvironment of the living brain, were generated in various degrees of elasticity, ranging from 1 to 50 kPa; additionally, results were compared with regular glass plates as usually used in cell culture work. Survival of NSC on the PDMS-based substrates was unimpaired. The proliferation rate on 1 kPa PDMS decreased by 45% compared with stiffer PMDS substrates of 50 kPa (p < 0.05) whereas expression of cyclin-dependent kinase inhibitor 1B/p27Kip1 increased more than two fold (p < 0.01), suggesting NSC quiescence. NSC differentiation was accelerated on softer substrates and favored the generation of neurons (42% neurons on 1 kPa PDMS vs. 25% on 50 kPa PDMS; p < 0.05). Neurons generated on 1 kPa PDMS showed 29% longer neurites compared with those on stiffer PDMS substrates (p < 0.05), suggesting optimized neuronal maturation and an accelerated generation of neuronal networks. Data show that primary NSC are significantly affected by the mechanical properties of their microenvironment. Culturing NSC on a substrate of brain-like elasticity keeps them in their physiological, quiescent state and increases their neurogenic potential.

Directing Neuronal Outgrowth and Network Formation of Rat Cortical Neurons by Cyclic Substrate Stretch.

Neuronal mechanobiology plays a vital function in brain development and homeostasis with an essential role in neuronal maturation, pathfinding, and differentiation but is also crucial for understanding brain pathology. In this study, we constructed an in vitro system to assess neuronal responses to cyclic strain as a mechanical signal. The selected strain amplitudes mimicked physiological as well as pathological conditions. By subjecting embryonic neuronal cells to cyclic uniaxial strain we could steer the direction of neuronal outgrowth perpendicular to strain direction for all applied amplitudes. A long-term analysis proved maintained growth direction. Moreover, stretched neurons showed an enhanced length, growth, and formation of nascent side branches with most elevated growth rates subsequent to physiological straining. Application of cyclic strain to already formed neurites identified retraction bulbs with destabilized microtubule structures as spontaneous responses. Importantly, neurons were able to adapt to the mechanical signals without induction of cell death and showed a triggered growth behavior when compared to unstretched neurons. The data suggest that cyclic strain plays a critical role in neuronal development.

Reorientation dynamics and structural interdependencies of actin, microtubules and intermediate filaments upon cyclic stretch application.

Any cell within a tissue is constantly confronted with a variety of mechanical stimuli. Sensing of these diverse stimuli plays an important role in cellular regulation. Besides shear stress, cells of the vascular endothelium are particularly exposed to a permanent cyclic straining originating from the interplay of outwards pushing blood pressure and inwards acting contraction by smooth musculature. Perpendicular alignment of cells as structural adaptation to this condition is a basic prerequisite in order to withstand deformation forces. Here, we combine live cell approaches with immunocytochemical analyses on single cell level to closely elucidate the mechanisms of cytoskeletal realignment to cyclic strain and consolidate orientation analyses of actin fibres, microtubules (MTs) and vimentin. We could show that strain-induced reorientation takes place for all cytoskeletal systems. However, all systems are characterized by their own, specific reorientation time course with actin filaments reorienting first followed by MTs and finally vimentin. Interestingly, in all cases, this reorientation was faster than cell body realignment which argues for an active adaptation mechanism for all cytoskeletal systems. Upon actin destabilization, already smallest alterations in actin kinetics massively hamper cell morphology under strain and therefore overall reorientation. Depolymerization of MTs just slightly influences actin reorientation velocity but strongly affects cell body reorientation.

Analysis of anticoagulants for blood-based quantitation of amyloid ß oligomers in the sFIDA assay.

Early diagnostics at the preclinical stage of Alzheimer's disease is of utmost importance for drug development in clinical trials and prognostic guidance. Since soluble Aß oligomers are considered to play a crucial role in the disease pathogenesis, several methods aim to quantify Aß oligomers in body fluids such as cerebrospinal fluid (CSF) and blood plasma. The highly specific and sensitive method surface-based fluorescence intensity distribution analysis (sFIDA) has successfully been established for oligomer quantitation in CSF samples. In our study, we explored the sFIDA method for quantitative measurements of synthetic Aß particles in blood plasma. For this purpose, EDTA-, citrate- and heparin-treated blood plasma samples from five individual donors were spiked with Aß coated silica nanoparticles (Aß-SiNaPs) and were applied to the sFIDA assay. Based on the assay parameters linearity, coefficient of variation and limit of detection, we found that EDTA plasma yields the most suitable parameter values for quantitation of Aß oligomers in sFIDA assay with a limit of detection of 16 fM.

sFIDA automation yields sub-femtomolar limit of detection for Aß aggregates in body fluids.

OBJECTIVES: Alzheimer's disease (AD) is a neurodegenerative disorder with yet non-existent therapeutic and limited diagnostic options. Reliable biomarker-based AD diagnostics are of utmost importance for the development and application of therapeutic substances. We have previously introduced a platform technology designated 'sFIDA' for the quantitation of amyloid ß peptide (Aß) aggregates as AD biomarker. In this study we implemented the sFIDA assay on an automated platform to enhance robustness and performance of the assay. DESIGN AND METHODS: In sFIDA (surface-based fluorescence intensity distribution analysis) Aß species are immobilized by a capture antibody to a glass surface. Aß aggregates are then multiply loaded with fluorescent antibodies and quantitated by high resolution fluorescence microscopy. As a model system for Aß aggregates, we used Aß-conjugated silica nanoparticles (Aß-SiNaPs) diluted in PBS buffer and cerebrospinal fluid, respectively. Automation of the assay was realized on a liquid handling system in combination with a microplate washer. RESULTS: The automation of the sFIDA assay results in improved intra-assay precision, linearity and sensitivity in comparison to the manual application, and achieved a limit of detection in the sub-femtomolar range. CONCLUSIONS: Automation improves the precision and sensitivity of the sFIDA assay, which is a prerequisite for high-throughput measurements and future application of the technology in routine AD diagnostics.

Biofunctionalized Silica Nanoparticles: Standards in Amyloid-ß Oligomer-Based Diagnosis of Alzheimer's Disease.

Amyloid-ß (Aß) oligomers represent a promising biomarker for the early diagnosis of Alzheimer's disease (AD). However, state-of-the-art methods for immunodetection of Aß oligomers in body fluids show a large variability and lack a reliable and stable standard that enables the reproducible quantitation of Aß oligomers. At present, the only available standard applied in these assays is based on a random aggregation process of synthetic Aß and has neither a defined size nor a known number of epitopes. In this report, we generated a highly stable standard in the size range of native Aß oligomers that exposes a defined number of epitopes. The standard consists of a silica nanoparticle (SiNaP), which is functionalized with Aß peptides on its surface (Aß-SiNaP). The different steps of Aß-SiNaP synthesis were followed by microscopic, spectroscopic and biochemical analyses. To investigate the performance of Aß-SiNaPs as an appropriate standard in Aß oligomer immunodetection, Aß-SiNaPs were diluted in cerebrospinal fluid and quantified down to a concentration of 10 fM in the sFIDA (surface-based fluorescence intensity distribution analysis) assay. This detection limit corresponds to an Aß concentration of 1.9 ng l-1 and lies in the sensitivity range of currently applied diagnostic tools based on Aß oligomer quantitation. Thus, we developed a highly stable and well-characterized standard for the application in Aß oligomer immunodetection assays that finally allows the reproducible quantitation of Aß oligomers down to single molecule level and provides a fundamental improvement for the worldwide standardization process of diagnostic methods in AD research.

Application of an Amyloid Beta Oligomer Standard in the sFIDA Assay.

Still, there is need for significant improvements in reliable and accurate diagnosis for Alzheimer's disease (AD) at early stages. It is widely accepted that changes in the concentration and conformation of amyloid-ß (Aß) appear several years before the onset of first symptoms of cognitive impairment in AD patients. Because Aß oligomers are possibly the major toxic species in AD, they are a promising biomarker candidate for the early diagnosis of the disease. To date, a variety of oligomer-specific assays have been developed, many of them ELISAs. Here, we demonstrate the sFIDA assay, a technology highly specific for Aß oligomers developed toward single particle sensitivity. By spiking stabilized Aß oligomers to buffer and to body fluids from control donors, we show that the sFIDA readout correlates with the applied concentration of stabilized oligomers diluted in buffer, cerebrospinal fluid (CSF), and blood plasma over several orders of magnitude. The lower limit of detection was calculated to be 22 fM of stabilized oligomers diluted in PBS, 18 fM in CSF, and 14 fM in blood plasma.