This work describes for first time the fabrication and characterization of multicomponent interpenetrating networks composed of collagen I, hyaluronic acid, and poly(ethylene glycol) diacrylate for the 3D culture of human neural stem cells, astrocytes, and microglia. The chemical composition of the scaffolds can be modulated while maintaining values of complex moduli within the range of the mechanical performance of brain tissue (≈ 6.9kPa) and having cell viability exceeding 84%. The developed scaffolds are a promising new family of biomaterials that can potentially serve as 3D in vitro models for studying the physiology and physiopathology of the central nervous system.

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The peptide β-Amyloid (β-A) is known to be one of the primary factors causing neurodegeneration in the Alzheimer disease. Hence, one would like to know the factors that would increase or decrease the toxicity of β-Amyloid in the brain. One of the factors that are debated in the literature is cholesterol, where it is not clear if modulating the levels of cholesterol would affect the degree of toxicity of β-Amyloid on neuron cells in the brain. In order to investigate this problem, data were collected and analyzed for three types of experiments: 1) Correspondence between cholesterol and methyl-β-cyclodextrin (MβCD) measurements; 2) measurements of the relative fluorescence unit (RFU) with respect to MβCD concentration (with/without β-A); and 3) RFU measurements with respect to β-A concentration (with/without MβCD).HT22 hippocampal neurons immortalized with the simian virus SV-40 large T-antigen plasmid vector were used to conduct the experiments. Mito-ID Membrane potential cytotoxicity was used as a measure of mitochondrial potential change. The statistical analysis of the presented experimental results indicates that cholesterol has no statistically significant effect on the degree of toxicity of β-Amyloid.

Electronic cigarette use is highest among adults of child-bearing age. Many parents that use electronic cigarettes believe that secondhand exposure of electronic cigarette vapors for their children is not dangerous and is less harmful than secondhand exposure to traditional cigarette smoke. These beliefs may prompt excessive secondhand exposure to electronic cigarette vapors for their children. Little research has been done to document exposure in children. The traditional biological method of exposure detection is through a blood draw, which is difficult and undesirable in children. The purpose of this study was to assess the feasibility of using saliva and exhaled breath condensate as non-invasive biomatrices for detecting secondhand electronic cigarette vapor exposure in children. In this cross-sectionally designed study, we recruited 22 children exposed to electronic cigarette vapors and 26 non-exposed between the ages of 4–12 years. We compared metabolic features across three biomatrices, blood, saliva, and exhaled breath condensate. We noted moderate to strong pairwise, sample-specific, and feature-specific adjusted correlations. Annotated features associated with direct and secondhand electronic cigarette exposure were noted. These results demonstrate that less invasive biomatrices may be used to detect features associated with secondhand electronic cigarette vapor exposure in children.

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