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The pathological hallmarks of Parkinson's disease (PD) are the progressive loss of dopaminergic neurons in the substantia nigra and the formation of Lewy bodies (LBs) in remaining neurons. LBs primarily consist of aggregated α-Synuclein (α-Syn). However, accumulating evidence suggests that Tau, which is associated with tauopathies such as Alzheimer’s disease (AD), progressive supranuclear palsy (PSP), and argyrophilic grain disease, is also involved in the pathophysiology of PD. A genome-wide association study (GWAS) identified MAPT, the gene encoding the Tau protein, as a risk gene for PD. Autopsy of PD patients also revealed the colocalization of Tau and α-Syn in LBs. Experimental evidence has shown that Tau interacts with α-Syn and influences the pathology of α-Syn in PD. In this review, we discuss the structure and function of Tau and provide a summary of the current evidence supporting Tau’s involvement as either an active or passive element in the pathophysiology of PD, which may provide novel targets for the early diagnosis and treatment of PD.

Objective The Ki-67 protein is frequently employed in pathological immunohistochemistry to indicate cell proliferation activity. The principal aim of this study was to examine the impact of stratified management of Ki-67 on the clinicopathological characteristics and prognosis of patients with small-cell lung cancer (SCLC). Methods A total of 175 patients with SCLC who underwent surgical treatment were included in the study, with available data on the results of postoperative immunohistochemistry of the Ki-67 protein. A retrospective analysis was conducted to investigate the correlation between the protein and various clinicopathological features of SCLC, as well as its impact on survival. Results The cut-off value for the Ki-67 level was determined to be 75% through receiver operating characteristic (ROC) analysis. An elevated Ki-67 level was found to be associated with preoperative chemotherapy (χ2 = 4.980, P  = 0.028), preoperative radiotherapy (χ2 = 4.600, P  = 0.032), T stage (χ2 = 4.173, P  = 0.041), TNM staging (χ2 = 10.472, P  = 0.005), and lymph node involvement (χ2 = 16.721, P  < 0.0001). The results of the survival analysis indicated that patients with SCLC exhibiting high levels of Ki-67 had a poorer prognosis than those with low Ki-67 levels ( P  = 0.0004). This was particularly evident in patients aged 60 years or older ( P  = 0.034), in males ( P  = 0.046), smoking for a minimum of 30 years ( P  < 0.001), advanced T staging (T3 + T4) ( P  = 0.031), lymph node involvement ( P  = 0.038), and TNM staging ( P  = 0.015), were associated with poorer outcomes. The univariate Cox regression analysis indicated that exposure to tobacco consumption ( P  = 0.040), pathologic T stage ( P  = 0.047), lymph node metastasis ( P  = 0.002), TNM staging [Stage I vs. II ( P  = 0.016), Stage I vs. III ( P  = 0.003)], and Ki-67 positive rate ( P  < 0.001) were the factors related to prognosis in SCLC. The results of the multivariate regression analysis indicated that T stage(HR: 1.519, 95% CI: 1.116–2.015, P  = 0.022), TNM staging[Stage I vs. III (HR: 2.310, 95% CI: 1.320–4.040, P  < 0.001)], and Ki-67 expression(HR: 1.405, 95% CI: 1.025–1.810, P  < 0.001) was identified as an additional risk factor for SCLC-related mortality. Conclusion In summary, the Ki-67 protein is not only strongly associated with the malignant characteristics of SCLC, but also the stratification of Ki-67 has significant implications for the treatment and prognosis of patients with small-cell lung cancer. Clinical trial number Not applicable.

Alzheimer's disease (AD) is characterized by the development of amyloid plaques and neurofibrillary tangles (NFTs) consisting of aggregated β-amyloid (Aβ) and tau, respectively. The amyloid hypothesis has been the predominant framework for research in AD for over two decades. According to this hypothesis, the accumulation of Aβ in the brain is the primary factor initiating the pathogenesis of AD. However, it remains elusive what factors initiate Aβ aggregation. Studies demonstrate that AD has multiple causes, including genetic and environmental factors. Furthermore, genetic factors, many age-related events and pathological conditions such as diabetes, traumatic brain injury (TBI) and aberrant microbiota also affect the aggregation of Aβ. Here we provide an overview of the age-related early events and other pathological processes that precede Aβ aggregation.

Polyglycolide (PGA) materials have been widely used in the medical field, but the degradation mechanism in the natural environment is still unclear. High-viscosity PGA was prepared by using twin-screw reaction extrusion polymerization. The mass and intrinsic viscosity of PGA samples, the pH of the solution surrounding the PGA samples in water, and the number of degradation products resulting from the degradation of the PGA samples were studied under different conditions and at different temperatures. PGA does not degrade at 70 °C in either dry air or in a vacuum. Infrared spectroscopy (FTIR) and differential spectroscopy revealed that the PGA samples in water at 70 °C for 40 days had a substantially reduced mass and substantially altered thermal behavior when compared with the control sample (undegraded PGA sample). The degradation of the PGA samples in humid conditions at 70 °C was similar to the degradation of the samples in water at 70 °C. The results of this study indicate that water and water vapor (moisture) in the natural environment are the main causes of PGA degradation, and higher temperatures accelerate the degradation process, which shortens the shelf life and life of PGA.

Graphene and graphene oxide are potential anti-corrosion materials. In this study, epoxy resin/graphene and epoxy resin/graphene oxide composite coatings were succeed prepared. Hydrogen evolution and electrochemical experiments were conducted to determine key parameters—including hydrogen evolution rate, hydrogen evolution volume, corrosion current density, and corrosion potential—of the designed composites in a 3.5 wt.% NaCl solution. The sample with the highest graphene oxide content was 0.8295 μA/cm2, representing a two-order-of-magnitude decrease compared to the matrix. Combined with scanning electron microscopy, the surface morphologies of various coatings after corrosion were observed, and the corrosion mechanisms of magnesium alloys with these coatings were carefully discussed. Based on electrochemical analysis, this study proposes and verifies that the working mechanism of the composite coatings relies on a physical barrier rather than a redox reaction.

Sugars produced by photosynthesis not only fuel plant growth and development, but may also act as signals to regulate plant growth and development. This work focuses on the role of sorbitol, a sugar alcohol, in flower development and pollen tube growth of apple (Malus domestica). Transgenic ‘Greensleeves’ apple trees with decreased sorbitol synthesis had abnormal stamen development, a decreased pollen germination rate and reduced pollen tube growth, which were all closely related to lower sorbitol concentrations in stamens. RNA sequencing and quantitative RT-PCR analyses identified reduced transcript levels during stamen development and pollen tube growth in the transgenic trees of a stamen-specific MYB39-like transcription factor, MdMYB39L, and of its putative target genes involved in hexose uptake, cell wall formation and microsporogenesis. Suppressing MdMYB39L expression in pollen via antisense oligonucleotide transfection significantly reduced the expression of its putative target genes and pollen tube growth. Exogenous sorbitol application during flower development partially restored MdMYB39L expression, stamen development, and pollen germination and tube growth of the transgenic trees. Addition of sorbitol to the germination medium also partially restored pollen germination and tube growth of the transgenic trees. We conclude that sorbitol plays an essential role in stamen development and pollen tube growth via MdMYB39L in apple.

Eu/Tb metal–organic frameworks (Eu/Tb-MOFs), exhibiting Eu3+ and Tb3+ emissions, stand out as some of the most fascinating luminescent thermometers. As the relative thermal sensitivity model is limited to its lack of precision for fitting ratio of Eu3+ and Tb3+ emissions, accurately predicting the sensing performance of Eu/Tb-MOFs remains a significant challenge. Herein, we report a series of luminescent Eu/Tb-MOF thermometers, EuxTb1−xL, with excellent thermal sensitivity around physiological levels, achieved through the tuning energy transfer from ligands to Eu3+ and Tb3+ and between the Ln ions. It was found that the singlet lowest-energy excited state (S1) of the ligand and the higher triplet energy level (Tn) are crucial in the energy transfer processes of ligand→Tb3+ and ligand→Eu3+. This enables EuxTb1−xL to serve as an effective platform for exploring the impact of these energy transfer processes on the temperature-sensing properties of luminescent Eu/Tb-MOF thermometers. The relative thermal sensitivity is comparable to that of dual-center MOF-based luminescent thermometers operating at physiological levels. This study provides valuable insights into the design of new Eu/Tb thermometers and the accurate prediction of their sensing performance.

Catalytic conversion of CO2 with the surplus glycerol (GL) produced from biodiesel manufacturing has attracted much academic and industrial attention, which proves the urgent requirement for developing high-performance catalysts to afford significant environmental benefits. Herein, titanosilicate ETS-10 zeolite-based catalysts with active metal species introduced by impregnation were employed for coupling CO2 with GL to efficiently synthesize glycerol carbonate (GC). The catalytic GL conversion at 170 °C miraculously reached 35.0% and a 12.7% yield of GC was obtained on Co/ETS-10 with CH3CN as a dehydrating agent. For comparison, Zn/ETS- Cu/ETS-10, Ni/ETS-10, Zr/ETS-10, Ce/ETS-10, and Fe/ETS-10 were also prepared, which showed inferior coordination between GL conversion and GC selectivity. Comprehensive analysis revealed that the presence of moderate basic sites for CO2 adsorption-activation played a crucial role in regulating catalytic activity. Moreover, the appropriate interaction between cobalt species and ETS-10 zeolite was also of great significance for improving the glycerol activation capacity. A plausible mechanism was proposed for the synthesis of GC from GL and CO2 in the presence of CH3CN solvent over Co/ETS-10 catalyst. Moreover, the recyclability of Co/ETS-10 was also measured and it proved to be recycled at least eight times with less than 3% decline in GL conversion and GC yield after a simple regeneration process through calcination at 450 °C for 5 h in air.

Silica nanoparticles (SiO2 NPs) are increasingly investigated for their potential in drug delivery systems. However, the neurotoxicity of SiO2 NPs remains to be fully clarified. Previously SiO2 NPs have been reported to be detected in the central nervous system, especially in the dopaminergic neurons which are deeply involved in Parkinson’s disease (PD). In this article, we characterized the effects of SiO2 NPs on inducing PD-like pathology both in vitro and in vivo. Results showed that SiO2 NPs promote more severe hyperphosphorylation and aggregation of α-synuclein, mitochondria impairment, oxidative stress, autophagy dysfunction, and neuronal apoptosis in the α-Syn A53T transgenic mice intranasally administrated with SiO2 NPs compared with the control group. Our findings provide new evidence supporting that SiO2 NPs exposure might have a strong capability of promoting the initiation and development of PD.

To address the challenges of low accuracy and poor robustness in industrial crayfish weight estimation caused by variable postures, this paper proposes a lightweight method that integrates pose awareness. First, a multi-task perception model, Crayfish-YOLO, is developed based on the YOLOv8s-Seg framework. By reconstructing the backbone with MobileNetV3 and integrating Coordinate Attention (CA), CARAFE upsampling, and the Wise Intersection over Union (Wise-IoU) loss function, the model is significantly compressed while enhancing its ability to output high-fidelity pixel-level masks and pose categories. Second, a pose-adaptive weight estimation strategy is proposed, which leverages perceived pose information to dynamically invoke the optimal regression model from a pre-constructed heterogeneous model library. Using seven core geometric features extracted from the segmentation masks, the system achieves precise weight estimation. Experimental results on a self-built dataset show that Crayfish-YOLO reduces parameters by 75.2% compared to YOLOv8s-Seg, while core segmentation accuracy (mAP50~95 (Seg)) improves by 1.1%. The integrated end-to-end system achieves a Mean Absolute Error (MAE) of 2.1 g and a mean coefficient of determination (R2) of 0.92, significantly outperforming comparative algorithms. This research provides an efficient visual perception and estimation solution for the automated grading of crayfish and similar non-rigid aquatic products.