Research最新文献

Atomic-scale polar topologies such as skyrmions offer important potential as technological paradigms for future electronic devices. Despite recent advances in the exploration of topological domains in complicated perovskite oxide superlattices, these exotic ferroic orders are unavoidably disrupted at the atomic scale due to intrinsic size effects. Here, based on first-principles calculations, we propose a new strategy to design robust ferroelectricity in atomically thin films by properly twisting 2 monolayers of centrosymmetric SrTiO₃. Surprisingly, the emerged polarization vectors curl in the plane, forming a polar skyrmion lattice with each skyrmion as small as 1 nm, representing the highest polar skyrmion density to date. The emergent ferroelectricity originates from strong interlayer coupling effects and the resulting unique strain fields with obvious ion displacements, contributing to electric polarization comparable to that of PbTiO₃. Moreover, we observe ultraflat bands (band width of less than 5 meV) at the valence band edge across a wide range of twist angles, which show widths that are smaller than those of common twisted bilayers of 2-dimensional materials. The present study not only overcomes the critical size limitation for ferroelectricity but also reveals a novel approach for achieving atomic-scale polar topologies, with important potential for applications in skyrmion-based ultrahigh-density memory technologies.

The prevention of air pollution-related cardiopulmonary disorders has been largely overlooked despite its important burden. Extracellular vesicles (EVs) have shown great potential as carriers for drug delivery. However, the efficiency and effect of EVs derived from different sources on ambient fine particulate matter (PM2.5)-induced cardiopulmonary injury remain unknown. Using PM2.5-exposed cellular and mouse models, we investigated the prevention of air pollution-related cardiopulmonary injury via an innovative strategy based on EV delivery. By using a "2-step" method that combines bibliometric and bioinformatic analysis, we identified superoxide dismutase 2 (Sod2) as a potential target for PM2.5-induced injury. Sod2-overexpressing plasmid was constructed and loaded into human plasma-, bovine milk-, and fresh grape-derived EVs, ultimately obtaining modified nanoparticles including PEV ^Sod2 , MEV ^Sod2 , and GEV ^Sod2 , respectively. GEV ^Sod2 , especially its lyophilized GEV ^Sod2 powder, exhibited superior protection against PM2.5-induced cardiopulmonary injury as compared to PEV ^Sod2 and MEV ^Sod2 . High-sensitivity structured illumination microscopy imaging and immunoblotting showed that GEV ^Sod2 powder treatment altered lysosome positioning by reducing Rab-7 expression. Our findings support the use of fruit-derived EVs as a preferred candidate for nucleic acid delivery and disease treatment, which may facilitate the translation of treatments for cardiopulmonary injuries.

Nanozymes are a class of nanomaterials that exhibit catalytic functions analogous to those of natural enzymes. They demonstrate considerable promise in the biomedical field, particularly in the treatment of bone infections, due to their distinctive physicochemical properties and adjustable catalytic activities. Bone infections (e.g., periprosthetic infections and osteomyelitis) are infections that are challenging to treat clinically. Traditional treatments often encounter issues related to drug resistance and suboptimal anti-infection outcomes. The advent of nanozymes has brought with it a new avenue of hope for the treatment of bone infections.

[This corrects the article DOI: 10.34133/2022/9850743.].

Smart contact lenses (SCLs), an innovative evolution of conventional contact lenses, have recently attracted increasing attention for their substantial potential for use in the healthcare field. With advancements in materials science and medical technology, SCLs have integrated electronic information technology with biomedical engineering to enable the incorporation of various medical functionalities. Recent developments have focused on applying SCLs to provide intelligent, efficient, and personalized healthcare solutions in the surveillance, diagnosis, and treatment of chronic ocular surface inflammation, glaucoma, and diabetes complications.

The brittleness of traditional ceramics severely limits their application progress in engineering. The multiscale structural design of organisms can solve this problem, but it still lacks sufficient research and attention. The underlined main feature is the multiscale hierarchical structures composed of basic nano-microstructure units arranged in order, which is currently impossible to achieve through artificial synthesis driven by high temperatures. This perspective aims to bridge the gap between biostructural materials and biomimetic ceramics, highlighting the relationship between bioinspired structures and interfacial interaction of structure densification in biomimetic ceramics. Therefore, we could accomplish densification and ceramic development at room temperature, consequently correlating the structure, properties, and functions of materials and accelerating the development of the next generation of advanced functional ceramics.

Accurate prediction of liquid chromatographic retention times is becoming increasingly important in nontargeted screening applications. Traditional retention time approaches heavily rely on the use of standard compounds, which is limited by the speed of synthesis and manufacture of standard products, and is time-consuming and labor-intensive. Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. However, existing retention time prediction methods usually suffer from the scarcity of comprehensive training datasets, sparsity of valid data, and lack of classification in datasets, resulting in poor generalization capability and accuracy. In this study, a dataset for 10,905 compounds was constructed including their retention times. Next, an innovative classification system was implemented, classifying 10,905 compounds into a 3-tier hierarchy across 141 classes, based on functional group weighting. Then, data augmentation was performed within each category using simplified molecular input line entry system (SMILES) enumeration combined with structural similarity expansion. Finally, by training the optimal quantitative structure-retention relationship (QSRR) models for each category of compounds and selecting the best-fitting model for prediction via discriminant analysis during the prediction period, a novel and universal high-throughput retention time prediction model was established. The results demonstrate that this model achieves an R ² of 0.98 and an average prediction error of 23 s, outperforming currently published models. This study provides a scientific basis for high throughput and rapid prediction of unknown pollutants, data mining, nontargeted screening, etc.

Human bone marrow stem cells (hBMSCs) play an important role during the fracture healing phase. Previous clinical studies by our research group found that fracture healing time was obviously delayed in patients who underwent splenectomy, for combined traumatic fractures and splenic rupture, which is most likely related to the dysregulation of immune inflammatory function of the body after splenectomy. A large number of studies have reported that the inflammatory factor interleukin-1β plays an important role in the multi-directional differentiation ability and immune regulation of BMSC, but its specific regulatory mechanism needs to be further studied. Recently, long noncoding RNAs (lncRNAs) have attracted remarkable attention owing to their close relationship with stem cell osteogenesis and potential role in various bone diseases. In this study, we explored the molecular mechanism of a novel lncRNA, LncMSTRG.11341.25 (LncMSTRG25), in terms of its effects on osteogenic differentiation of hBMSCs. Our results reveal significant up-regulation of LncMSTRG25, osteogenic differentiation markers during the osteogenic differentiation of hBMSCs, and decreased expression of miR-939-5p with an increase in differentiation time. LncMSTRG25 knockdown significantly inhibited the osteogenic ability of hBMSCs. When we knocked down PAX8 alone, we found that the osteogenic ability of hBMSCs was also significantly reduced. The interaction between LncMSTRG25 and PAX8 was verified using the RNA immunoprecipitation assay, RNA pull-down assays, silver staining, and the dual-luciferase reporter. The results show that LncMSTRG25 can function as a sponge to adsorb miR-939-5p, inducing the osteogenic differentiation of hBMSCs by activating PAX8. These findings deepen our understanding of the regulatory role of lncRNA-miRNA-mRNA networks in the immune microenvironment of bone marrow, and highlight the important role played by the spleen as an immune organ in fracture healing.

We apply the recently developed concept of the nucleon energy-energy correlator (NEEC) for the gluon sector to investigate the long-range azimuthal angular correlations in proton-proton collisions at the Large Hadron Collider. The spinning gluon in these collisions will introduce substantial nonzero $\text{cos}\left(2\varphi \right)$ asymmetries in both Higgs boson and top quark pair productions, where $\varphi$ is the azimuthal angle between the forward and backward energy correlators in the NEEC observables. The genesis of the $\text{cos}\left(2\varphi \right)$ correlation lies in the intricate quantum entanglement. Owing to the substantial $\text{cos}\left(2\varphi \right)$ effect, the NEEC observable in Higgs boson and $t\overline{t}$ production emerges as a pivotal avenue for delving into quantum entanglement and scrutinizing the Bell inequality at high-energy colliders.

Developing advanced tissue-engineered membranes with biocompatibility, suitable mechanical qualities, and anti-fibrotic and anti-inflammatory actions is important for tympanic membrane (TM) repair. Here, we present a novel acoustically transmitted decellularized fish swim bladder (DFB) loaded with mesenchymal stem cells (DFB@MSCs) for TM perforation (TMP) repair. The DFB scaffolds are obtained by removing the cellular components from the original FB, which retains the collagen composition that favors cell proliferation. Benefitting from their spatially porous structures and excellent mechanical properties, the DFB scaffolds can provide a suitable microenvironment and mechanical support for cell growth and tissue regeneration. In addition, by loading mesenchymal stem cells on the DFB scaffolds, the resultant DFB@MSCs system exhibits remarkable anti-fibrotic and anti-inflammatory effects, together with the ability to promote cell migration and angiogenesis. In vivo experiments confirm that the prepared DFB@MSCs scaffolds can not only alleviate inflammatory response caused by TMP but also promote new vessel formation, TM repair, and hearing improvement. These features indicate that our proposed DFB@MSCs stent is a prospective tool for the clinical repair of TM.