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Abstract Recently, cellular senescence-induced unstable carotid plaques have gained increasing attention. In this study, we utilized bioinformatics and machine learning methods to investigate the correlation between cellular senescence and the pathological mechanisms of unstable carotid plaques. Our aim was to elucidate the causes of unstable carotid plaque progression and identify new therapeutic strategies. First, differential expression analysis was performed on the test set GSE43292 to identify differentially expressed genes (DEGs) between the unstable plaque group and the control group. These DEGs were intersected with cellular senescence-associated genes to obtain 40 cellular senescence-associated DEGs. Subsequently, key genes were then identified through weighted gene co-expression network analysis, random forest, Recursive Feature Elimination for Support Vector Machines algorithm and cytoHubba plugin. The intersection yielded 3 CSA-signature genes, which were validated in the external validation set GSE163154. Additionally, we assessed the relationship between these CSA-signature genes and the immune landscape of the unstable plaque group. This study suggests that cellular senescence may play an important role in the progression mechanism of unstable plaques and is closely related to the influence of the immune microenvironment. Our research lays the foundation for studying the progression mechanism of unstable carotid plaques and provides some reference for targeted therapy.

Objective To investigate the inhibitory effect of cisplatin (DDP) combined with tunicamycin (TM) on human neuroblastoma SH-SY5Y and SK-N-SH cells and related mechanism. Methods Human neuroblastoma SH-SY5Y and SK-N-SH cells were divided into control group, TM group (treated with 0.4 mg/L TM for 24 h), DDP group (treated with 4 mg/L DDP for 24 h), and DDP+TM group (treated with 0.4 mg/L TM and 4 mg/L DDP for 24 h). CCK-8 assay, plate colony formation assay, scratch assay, and Transwell assay were used to measure the viability and proliferation, migration, and invasion abilities of cells in each group, and Western blotting was used to measure the expression levels of the JAK2-STAT3-HIF1α pathway-related proteins such as JAK-2, p-JAK2, STAT3, p-STAT3, and HIF1α in each group of cells. Results Experimental results showed that compared with the other three groups, the DDP+TM group had significantly lower viability, proliferation and invasion abilities, migration ability at 12 and 24 h, and expression levels of the JAK2-STAT3-HIF1α pathway-related proteins (tLSD=2.14-78.95,P

At present， most smart wearable devices are smart watches， wristbands， etc.， which have the problems of high rigidity， poor comfort and frequent charging， making it difficult to meet the requirements of ergonomics and clothing comfort. They cannot be worn for a long time to achieve all-weather monitoring. Textile triboelectric nanogenerator （T-TENG） can be integrated into shoes and clothing as flexible power sources and self-powered sensors， making it an ideal wearable device for active human health monitoring and enforcement. However， most of the reported T-TENG need to be packaged and then integrated into clothing before use， resulting in a reduced air permeability of clothing. In addition， most of the current studies are in the laboratory stage， and the properties of T-TENG such as durability， sensitivity and stability in actual use are not fully considered. In this paper， the basic working mode， material selection， manufacturing method， integrated footwear and clothing mode， and application scenarios of T-TENG were reviewed. The preparation methods of T-TENG for nanofiber membrane and textile composite materials， fiber/yarn-based T-TENG， and fabric-based T-TENG were mainly discussed. New strategies for the development and integration of comfortable T-TENG in the future were proposed， including the large-scale preparation of T-TENG， the integration of T-TENG and traditional clothing， the compatibility of T-TENG monitoring accuracy and comfort， and the durability and stability of T-TENG.

● The framework of multi-objective nitrogen (N) management was developed.● Multi-objective targets were established to support agriculture sustainable production.● A food chain approach was developed to accurately quantify N flow in food system.● “3R” principle was used in developing N management strategy.● The collaboration with different stakeholders is crucial for promoting technologies.Nitrogen (N) is an essential nutrient for food production. The rapid increase in population requires high inputs of N to meet the growing food demand. If not managed well, the substantial loss of N from the food system has multiple impacts on grain yield, air and water pollution, and the economic benefits of agricultural. Multi-objective (food security, environmental sustainability and economic sustainability) synergistic consideration of N management in the food system is still lacking. This study employed strategies for optimizing N management in the food system, using Quzhou County as a typical example on the North China Plain. Firstly, a food chain approach was adopted to understand drivers and reasons behind N losses from the food system. Secondly, a top-down approach was used to define multi-objective N management, taking into consideration food security, environmental sustainability and economic sustainability. Multi-objective N management aims to reduce N losses to the environment and increase N use efficiencies, while simultaneously increasing yields and economic benefits. Thirdly, 3R (reduce-retain-recycle) N management strategies were identified for specific crops and animals through a bottom-up approach and then analyzed the potential of these strategies to achieve the multi-objectives. Finally, there is a discussion of how to engage different stakeholders to promote the technologies implementation. This study provides new insights into the synergistic achievement of multi-objective N management in the food system and the development of environmentally-friendly agriculture.

Objective To investigate the effect of regulator of ribosome synthesis 1 (RRS1) on the proliferation and metastasis abilities of human breast cancer cells. Methods Western Blot was used to measure the protein expression level of RRS1 in human breast cancer cell lines (MDA-MB-231, MDA-MB-468, BT549, and MCF-7) and normal human breast epithelial cells. MDA-MB-468 cells were infected with sh-RRS1 lentivirus (sh-RRS1 group) and negative-control lentivirus (Con group), and MDA-MB-468 cells without infection were established as Blank group. Lentiviral infection efficiency was observed under a fluorescence microscope for the Con group and the sh-RRS1 group, and quantitative real-time PCR and Western blot were used to measure the mRNA and protein expression levels of RRS1 in cells; CCK-8 assay was used to observe the effect of RRS1 on the viability of MDA-MB-468 cells; scratch assay, Transwell assay, and invasion assay were used to observe the effect of RRS1 on the invasion and migration abilities of MDA-MB-468 cells. Results The expression level of RRS1 in the breast cancer cell lines was significantly higher than that in normal human breast epithelial cells (F=28.71,P

The ovarian surface epithelium (OSE) is a single layer of squamous-to-cuboidal epithelial cells that experience repetitive ovulatory rupture and subsequent repair. However, the characteristics of human immortalized ovarian surface epithelial cells (IOSE80) remain elusive. This study aims to determine whether IOSE80 cells have the characteristics of stem cell proliferation and multilineage differentiation and their application in regenerative medicine. IOSE80 cells are sequenced by high-throughput transcriptome analysis, and 5 sets of public data are used to compare the differences between IOSE80 cells and bone marrow mesenchymal stem cells, pluripotent stem cells, and oocytes in transcriptome profiling. The IOSE80 cells present a cobblestone-like monolayer and express the epithelial cell marker KRT18; the stem cell markers IFITM3, ALDH1A1, and VIM; lowly express stem cell marker LGR5 and germ cell markers DDX4 and DAZL. In addition, the GO terms “regulation of stem cell proliferation”, “epithelial cell proliferation”, etc., are significantly enriched (P

Objective To investigate the effect of miR-429 on the proliferation and migration of breast cancer cells and its mechanism. Methods RT-qPCR and Western blotting were used to measure the relative mRNA and protein expression levels of eIF4E in breast cancer MCF-7, MDA-MB-231, MDA-MB-468, and BT-549 cells and normal breast epithelial MCF-10A cells. MCF-7 cells were transfected with miR-429 mimics (group A), mimics NC (group B), miR-429 inhibitors (group C), and inhibitors NC (group D), and RT-qPCR, CCK-8 assay, wound healing assay, and Western blotting were used to measure the expression of miR-429, cell proliferation and migration, and the relative mRNA and protein expression levels of eIF4E in groups A-D. The 293T cells were transfected with eIF4E-3'UTR-Wt+miR-429 mimics (group E), eIF4E-3'UTR-Wt+mimics NC (group F), eIF4E-3'UTR-Mut+miR-429 mimics (group G), and eIF4E-3'UTR-Mut+mimics NC (group H), and relative luciferase activity was measured for groups E-H. The targeted regulatory effect of miR-429 on eIF4E was analyzed. Results RT-qPCR and Western blotting showed that the relative mRNA and protein expression levels of eIF4E in MCF-7, MDA-MB-231, MDA-MB-468, and BT-549 cells were significantly higher than those in normal breast epithelial MCF-10A cells (F=74.414,1 981.243,P

VO2 is renowned for its electric transition from an insulating monoclinic (M1) phase, characterized by V–V dimerized structures, to a metallic rutile (R) phase above 340 K. This transition is accompanied by a magnetic change: the M1 phase exhibits a non-magnetic spin-singlet state, while the R phase exhibits a state with local magnetic moments. Simultaneous simulation of the structural, electric, and magnetic properties of this compound is of fundamental importance, but the M1 phase alone has posed a significant challenge to the density functional theory (DFT). In this study, we show none of the commonly used DFT functionals, including those combined with on-site Hubbard U to treat 3d electrons better, can accurately predict the V–V dimer length. The spin-restricted method tends to overestimate the strength of the V–V bonds, resulting in a small V–V bond length. Conversely, the spin-symmetry-breaking method exhibits the opposite trends. Each of these two bond-calculation methods underscores one of the two contentious mechanisms, i.e., Peierls lattice distortion or Mott localization due to electron–electron repulsion, involved in the metal–insulator transition in VO2. To elucidate the challenges encountered in DFT, we also employ an effective Hamiltonian that integrates one-dimensional magnetic sites, thereby revealing the inherent difficulties linked with the DFT computations. [ABSTRACT FROM AUTHOR]