Mejiaholt4180

Abnormal aggregation and deposition of Aβ is one of the causative agents for Alzheimer's disease. The development of inhibitors for Aβ aggregation has been considered a possible method to prevent and treat Alzheimer's disease. Edible sea cucumbers contain many bioactive molecules, including saponins, phospholipids, peptides, and polysaccharides. Herein, we report that polysaccharides extracted from sea cucumber Cucumaria frondosa could reduce the aggregation and cytotoxicity of Aβ40. By utilizing multiple biochemical and biophysical instruments, we found that the polysaccharides could inhibit the aggregation of Aβ40. A chemical kinetics analysis further suggested that the major inhibitory effects of the polysaccharides were achieved by disassembling mature fibrils, which in turn reduced the cytotoxicity of Aβ. These results suggested that the polysaccharides extracted from sea cucumber could be used as an effective inhibitor for Aβ.High-Curie-temperature (Tc) ferroelectrics have exhibited broad applications in optoelectronic devices. Recently, two-dimensional multilayered perovskite ferroelectrics with excellent photoelectric attributes are attracting increasing interest as new systems of photoferroelectrics. However, the effective tuning of the Tc value of a multilayered perovskite photoferroelectric system still remains a huge challenge. Here, by a halogen substitution strategy to introduce bromine atoms on n-propylamine cations, the hybrid perovskite photoferroelectric (3-bromopropylaminium)2(formamidinium)Pb2Br7 (BFPB) with a high Tc value (348.5 K) was obtained. It is notable that BFPB adopts a two-dimensional bilayered inorganic framework, with tight linking to the organic cation by C-Br···Br-Pb halogen···halogen interactions and N-H···Br hydrogen bonds. Intriguingly, in comparison with the prototypical compound (n-propylaminium)2(formamidinium)Pb2Br7, a remarkable augmentation of 85.2 K in the resulting Tc value of BFPB is clearly observed, which further broadens the temperature range of its application. In combination with the remarkable ferroelectric and semiconducting attributes, the reversible bulk photovoltaic effect was realized in single crystals of BFPB. This finding can not only enhance the hybrid perovskite ferroelectric family but also further promote the photoelectric application of ferroelectrics.With the failure of various amyloid-β-targeted drugs for Alzheimer's disease (AD) in clinical trials, tau protein has gained growing attention as an alternative therapeutic target in recent years. The aggregation of tau exerts neurotoxicity, and its spreading in the brain is associated with increasing severity of clinical symptoms for AD patients; thus tau-targeting therapies hold great potential against AD. Here, a tau-targeted multifunctional nanoinhibitor based on self-assembled polymeric micelles decorated with tau-binding peptide is devised for AD treatment. Through the multivalent binding effect with the aggregating protein, this nanoinhibitor is capable of efficiently inhibiting tau protein aggregation, recognizing tau aggregates, and blocking their seeding in neural cells, thus remarkably mitigating tau-mediated cytotoxicity. Moreover, the formed nanoinhibitor-tau complex after binding is more easily degraded than mature tau aggregates, which will be conducive to enhance the therapeutic effect. We believe that this multifunctional nanoinhibitor will promote the development of new antitau strategies for AD treatment.Scalable quantum information systems would store, manipulate, and transmit quantum information locally and across a quantum network, but no single qubit technology is currently robust enough to perform all necessary tasks. Defect centers in solid-state materials have emerged as potential intermediaries between other physical manifestations of qubits, such as superconducting qubits and photonic qubits, to leverage their complementary advantages. It remains an open question, however, how to design and to control quantum interfaces to defect centers. Such interfaces would enable quantum information to be moved seamlessly between different physical systems. Understanding and constructing the required interfaces would, therefore, unlock the next big steps in quantum computing, sensing, and communications. In this Perspective, we highlight promising coupling mechanisms, including dipole-, phonon-, and magnon-mediated interactions, and discuss how contributions from nanotechnologists will be paramount in realizing quantum information processors in the near-term.Machine learning was applied to predict the plant uptake and transport of engineered nanoparticles (ENPs). A back propagation neural network (BPNN) was used to predict the root concentration factor (RCF) and translocation factor (TF) of ENPs from their essential physicochemical properties (e.g., composition and size) and key external factors (e.g., exposure time and plant species). The relative importance of input variables was determined by sensitivity analysis, and gene-expression programming (GEP) was used to generate predictive equations. The BPNN model satisfactorily predicted the RCF and TF in both hydroponic and soil systems, with an R2 higher than 0.8 for all simulations. Inclusion of the initial ENP concentration as an input variable further improved the accuracy of the BPNN for soil systems. Sensitivity analysis indicated that the composition of ENPs (e.g., metals vs metal oxides) is a major factor affecting RCF and TF values in a hydroponic system. However, the soil organic matter and clay contents are more dominant in a soil system. The GEP model (R2 = 0.8088 and 0.8959 for RCF and TF values) generated more accurate predictive equations than the conventional regression model (R2 = 0.5549 and 0.6664 for RCF and TF values) in a hydroponic system, which could guide the sustainable design of ENPs for agricultural applications.In a typical biosensor, a biomolecule such as an aptamer is used for target recognition, and a nanomaterial is used for signal generation. Herein, we communicate a reverse system using a nanomaterial for target recognition and a DNA for signaling. We discovered that a classic metal-organic framework material, zeolitic imidazolate framework (ZIF)-67, has ultrahigh selectivity for recognizing adenosine triphosphate (ATP), allowing a fluorescently labeled DNA oligonucleotide to be used for signal generation. This sensor showed up to a 24-fold increase in fluorescence upon adding 1 mM ATP, while the fluorescence increase after adding adenosine or guanosine triphosphate was less than twofold. Its selectivity is much better than that of the ATP aptamer, which binds adenosine even better. Using isothermal titration calorimetry, the selective binding of ATP was independently verified. selleck kinase inhibitor This sensor has a detection limit of 29 nM ATP and it can even detect ATP in serum. By replacing Co2+ with Zn2+ to form ZIF-8 or by using CoO, the selectivity for ATP was lost.