Biointerphases最新文献

Osteoarthritis (OA) is a whole joint disease marked by the degradation of the articular cartilage (AC) tissue, chronic inflammation, and bone remodeling. Upon AC's injury, proinflammatory mediators including interleukin 1β (IL1β) and lipopolysaccharides (LPS) play major roles in the onset and progression of OA. The objective of this study was to mechanistically detect and compare the effects of IL1β and LPS, separately, on the morphological and nanomechanical properties of bovine chondrocytes. Cells were seeded overnight in a full serum medium and the next day divided into three main groups: A negative control (NC) of a reduced serum medium and 10 ng/ml IL1ß or 10 ng/ml LPS-modified media. Cells were induced for 24 h. Nanomechanical properties (elastic modulus and adhesion energy) and roughness were quantified using atomic force microscopy. Nitric oxide, prostaglandin 2 (PGE2), and matrix metalloproteinases 3 (MMP3) contents; viability of cells; and extracellular matrix components were quantified. Our data revealed that viability of the cells was not affected by inflammatory induction and IL1ß induction increased PGE2. Elastic moduli of cells were similar among IL1β and NC while LPS significantly decreased the elasticity compared to NC. IL1ß induction resulted in least cellular roughness while LPS induction resulted in least adhesion energy compared to NC. Our images suggest that IL1ß and LPS inflammation affect cellular morphology with cytoskeleton rearrangements and the presence of stress fibers. Finally, our results suggest that the two investigated inflammatory mediators modulated chondrocytes' immediate responses to inflammation in variable ways.

Sum frequency generation vibrational spectroscopy (SFG-VS) is an intrinsically surface-selective vibrational spectroscopic technique based on the second-order nonlinear optical process. Since its birth in the 1980s, SFG-VS has been used to solve interfacial structure and dynamics in a variety of research fields including chemistry, physics, materials sciences, biological sciences, environmental sciences, etc. Better understanding of SFG-VS instrumentation is no doubt an essential step to master this sophisticated technique. To address this need, here we will present a Tutorial with respect to the classification, setup layout, construction, operation, and data processing about SFG-VS. We will focus on the steady state Ti:sapphire based broad bandwidth SFG-VS system and use it as an example. We hope this Tutorial is beneficial for newcomers to the SFG-VS field and for people who are interested in using SFG-VS technique in their research.

Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is extensively employed for the structural analysis of the outermost surfaces of organic materials, including biological materials, because it provides detailed compositional information and enables high-spatial-resolution chemical mapping. In this study, a combination of TOF-SIMS and data analysis was employed to evaluate biological materials composed of numerous proteins, including unknown ones. To interpret complicated TOF-SIMS data of human hair, an autoencoder, a dimensionality reduction method based on artificial neural networks, was applied. Autoencoders can be used to perform nonlinear analysis; therefore, they are more suitable than principal component analysis (PCA) for analyzing TOF-SIMS data, which are influenced by the matrix effect. As a model sample data, the TOF-SIMS depth profile of human hair, acquired via argon gas cluster ion beam sputtering and Bi₃ ²⁺ primary ion beam, was employed. Useful information, including the characteristic distributions of amino acids and permeated surfactants on the outermost surface of the hair, was extracted from the results obtained from the autoencoder. Furthermore, the autoencoder extracted more detailed features than did PCA. Therefore, autoencoders can become a powerful tool for TOF-SIMS data analysis.

Since Ar-gas cluster ion beams (Ar-GCIBs) have been introduced into time-of-flight secondary ion mass spectrometry (ToF-SIMS), there have been various attempts to analyze organic materials and biomolecules that require low-damage analysis and high sensitivity, because Ar-GCIBs allow soft ionization of large molecules such as peptides and proteins due to the low energy per atom. Here, the authors adopted the Ar-GCIB as a primary beam to detect proteins including human insulin, ubiquitin, and cytochrome C (molecular weights are 5808, 8564, and 12 327 Da, respectively). They have confirmed that the detection of the intact proteins was possible when the Ar-GCIB was used as a primary ion beam. In addition, they successfully identified each protein by analyzing the trypsin-digested peptides in myoglobin, cytochrome C, and bovine serum albumin. They also attempted on-surface enzymatic digestion to identify proteins on the surface of the Si wafer and obtained results identical to those of in-solution digestion. It is expected that the authors' on-surface digestion method can enable the application of ToF-SIMS for the analysis of proteins present in biological tissues.

Opportunities arising from the use of the rheometric quartz crystal microbalance (RheoQCM) as a fixed frequency rheometer operating at 15 MHz are discussed. The technique requires the use of films in a specified thickness range that depends on the mechanical properties of the material of interest. A regime map quantifying the appropriate thicknesses is developed, based on the properties of a highly crosslinked epoxy sample that is representative of a broad class of polymeric materials. Relative errors in the measured film properties are typically in the range of several percent or less and are minimized by using a power law model to relate the rheological properties at two different resonant harmonics of the quartz crystal. Application of the RheoQCM technique is illustrated by measuring the temperature- and molecular weight-dependent properties of polystyrene and poly(methyl methacrylate) in the vicinity of the glass transition.

With regard to life sciences, it is important to understand biological functions such as metabolic reactions at the cellular level. Time-of-flight secondary ion mass spectrometry (TOF-SIMS) that can provide chemical mappings at 100 nm lateral resolutions is useful for obtaining three-dimensional maps of biological molecules in cells and tissues. TOF-SIMS spectra generally contain several hundred to several thousand secondary ion peaks that provide detailed chemical information. In order to manage such a large number of peaks, data analysis methods such as multivariate analysis techniques have been applied to TOF-SIMS data of complex samples. However, the interpretation of the data analysis results is sometimes still difficult, especially for biological samples. In this study, TOF-SIMS data of resin-embedded plant samples were analyzed using one of the sparse modeling methods, least absolute shrinkage and selection operator (LASSO), to directly select secondary ions related to biological structures such as cell walls and nuclei. The same sample was measured by optical microscopy and the same measurement area as TOF-SIMS was extracted in order to prepare a target image for LASSO. The same area of the TOF-SIMS and microscope data were fused to evaluate the influence of the image fusion on the TOF-SIMS spectrum information using principal component analysis. Specifically, the authors examined onion mycorrhizal root colonized with Gigaspora margarita (an arbuscular mycorrhizal fungus). The results showed that by employing this approach using LASSO, important secondary ions from biological samples were effectively selected and could be clearly distinguished from the embedding resin.

This work examines the antifouling effect of quaternary ammonium silane (QAS) grafted from coatings of silica nanoparticles (SiNPs), independently and in combination with a zwitterionic sulfobetaine (SB) silane. The binding of QAS to the SiNP coatings was monitored using quartz crystal microgravimetry with dissipation monitoring (QCM-D) under varied pH and solution concentrations. Adsorption of bovine serum albumin protein was reduced on QAS modified SiNP coatings prepared under alkaline conditions due to the proposed generation of a pseudozwitterionic interface, where the underlying SiNP surface presents an anionic charge at high pH. Significant reductions in protein binding were achieved at low functionalization concentrations and short modification times. Additionally, SiNP coatings modified with a combination of QAS and SB chemistries were investigated. Surface modifications were performed sequentially, varying silane concentration and order of addition, and monitored using QCM-D. Dual-functionalized surfaces presented enhanced resistance to protein adsorption compared to QAS or SB modified surfaces alone, even at low functionalization concentrations. The antiadhesive and antibacterial properties of functionalized surfaces were investigated by challenging the surfaces against the bacterium Escherichia coli. All dual-functionalized coatings showed equal or reduced bacterial adhesion compared to QAS and SB functionalizations alone, while coatings functionalized with high concentrations of combined chemistries reduced the adhesion of bacteria by up to 95% compared to control SiNP surfaces.

Matrix effects, which cause a change in ion intensity, occur in mass spectrometry methods including time-of-flight secondary ion mass spectrometry (TOF-SIMS). Matrix effects often cause large issues in quantitative analysis because secondary ions related to a particular molecule could be dramatically enhanced or suppressed regardless of the concentration. To investigate matrix effects in biological samples, the authors evaluated mixed lipid {POPC [1-palmitoyl-2-oleoyl-sn-glycero-3-phosphatidylcholine, molecular weight (MW) 759.6]}, peptide [leu-enkephalin, neo-leu-enkephalin (amino acid sequence: YAGFL, MW 569.3), and neo-angiotensin II (amino acid sequence: DRVYIHAF, MW 1019.5)] samples. Matrix effect features were investigated by analyzing the concentration dependence of secondary ions in lipid-peptide mixed samples to develop a method that enables quantitative analysis using TOF-SIMS. Matrix effects depended on the lipid-peptide combination. Interestingly, some secondary ions possessed an intensity that was highly dependent on concentration.

Elastin-like polypeptides (ELPs) are being developed for numerous biomedical applications. There is a limited understanding of ELP biocompatibility, with conflicting results in the literature. Protein adsorption is the fate determining event for blood-contacting biomaterials. The aim of this study is to elucidate the biocompatibility of ELP-based nanoparticles by examining the adsorbed proteome from platelet poor human plasma as a function of the physicochemical properties of these nanoparticles: diameter, amino acid hydrophobicity, and chain length. It was found that all ELP constructs had adsorbed an extremely large amount of albumin and high levels of immunoglobulin G and activated complement factor 3. Variations in the compositions of the proteomes across the eight nanoparticle systems studied were observed for plasminogen, fibronectin, activated fibrinogen, and coagulation modulating antithrombin and alpha₂ macroglobulin. Plasma clotting experiments showed that ELP-based nanoparticles slightly inhibited normal blood clotting, with shorter and/or more hydrophilic constructs showing a greater difference from the control than longer or more hydrophobic constructs. These results indicate that ELP nanoparticles, regardless of chain length, particle diameter, or amino acid hydrophobicity, may have the potential to stimulate a humoral immune response via immunoglobulin G and activated complement factor 3 despite the large amounts of albumin adsorbed at the blood-material interface.