Ultrasound shear wave elastography for assessing minor salivary gland involvement in anti-centromere antibody-positive primary Sjögren's syndrome: a retrospective study.

The aim of this study is to investigate salivary gland involvement in patients with anti-centromere antibody (ACA)-positive primary Sjögren's syndrome (pSS). We retrospectively evaluated 134 patients with pSS. Patients were divided into four groups based on the results of ACA and SSA antibodies. We compared clinical manifestations, laboratory findings, salivary gland shear wave elastography, minor salivary gland biopsy results, and EULAR Sjögren's syndrome disease activity index (ESSDAI) scores among the four groups. A total of 134 patients were classified as having pSS and divided into three groups based on serum ACA and anti-SSA antibody status: ACA + SSA + , ACA + SSA-, ACA-SSA + , and seronegative. The primary analysis focused on comparing the clinical and SWE findings between the ACA + SSA + and ACA + SSA- groups. In the double-positive group, SWE revealed fewer minor salivary glands along with higher mean (Emean) and maximum (Emax) values of Young's moduli than those in the ACA-negative group. Patients in the positive group had increased occurrence of Raynaud's phenomenon, liver involvement, and a higher incidence of malignancy (P < 0.05). ACA-positive pSS patients are a subgroup with different clinical manifestations and more pronounced involvement of the minor salivary glands. SWE findings revealed that ACA-positive patients exhibit significantly higher mean and maximum stiffness values compared to ACA-negative patients, indicating more extensive glandular fibrosis and involvement. These results underscore the utility of SWE as a valuable method for evaluating salivary gland pathology and supporting the stratification of pSS patients.

Scalable Asymmetric Fabric Evaporator for Solar Desalination and Thermoelectricity Generation.

The integration of solar interfacial evaporation and power generation offers a sustainable solution to address water and electricity scarcity. Although water-power cogeneration schemes are proposed, the existing schemes lack scalability, flexibility, convenience, and stability. These limitations severely limit their future industrial applications. In this study, we prepared a hybrid fabric composed of basalt fibers and cotton yarns with asymmetric structure using textile weaving technology. The cotton yarn in lower layer of fabric facilitates water transport, while the basalt fibers in upper layer enable thermal localization and water supply balancing. The carbon black is deposited on top layer by flame burning to facilitate photothermal conversion. The fabric exhibits a high evaporation rate of 1.52 kg m-2 h-1, which is 3.6 times that of pure water, and an efficiency of 88.06% under 1 kW m-2 light intensity. After assembly with a thermoelectric module, the hybrid system achieves a maximum output power density of 66.73 mW m-2. By exploiting the scalability of fabric, large-scale desalination and power production can be achieved in outdoor environments. This study demonstrates the seamless integration of fabric-based solar evaporation and waste heat-to-energy technologies, thereby providing new avenues for the development of scalable and stable water-power cogeneration systems.

Filamentous Actin in the Nucleus in Triple-Negative Breast Cancer Stem Cells: A Key to Drug-Induced Nucleolar Stress and Stemness Inhibition?

Actin, primarily a cytoplasmic cytoskeleton protein, is transported in and out of the nucleus with the help of actin-binding proteins (ABPs). Actin exists in two forms, i.e., monomeric globular (G-actin) and polymerized filamentous (F-actin). While G-actin promotes gene transcription by associating with RNA polymerases, F-actin can inhibit this effect in the nucleus. Unexpectedly, we found that lovastatin, an FDA-approved lipid-lowering drug, induces actin redistribution and its translocation into the nucleus in triple-negative breast cancer (TNBC) cancer stem cells. Lovastatin treatment also decreased levels of rRNAs and stemness markers, which are transcription products of RNA Pol I and Pol II, respectively. Bioinformatics analysis showed that actin genes were positively correlated with ABP genes involved in the translocation/polymerization and transcriptional regulation of nuclear actin in breast cancer. Similar correlations were found between actin genes and RNA Pol I genes and stemness-related genes. We propose a model to explain the roles of lovastatin in inducing nucleolar stress and inhibiting stemness in TNBC cancer stem cells. In our model, lovastatin induces translocation/accumulation of F-actin in the nucleus/nucleolus, which, in turn, induces nucleolar stress and stemness inhibition by suppressing the synthesis of rRNAs and decreasing the expression of stemness-related genes. Our model has opened up a new field of research on the roles of nuclear actin in cancer biology, offering potential therapeutic targets for the treatment of TNBC.

Hormone replacement therapy and risk of pancreatic cancer in postmenopausal women: Evidence from the US National Inpatient Sample 2008-2018.

Background: Pancreatic cancer is a serious, usually fatal disease and one of the most aggressive malignancies. Research into whether hormone replacement therapy (HRT) might protect against pancreatic cancer has yielded mixed results. This study aimed to investigate the potential association between HRT and the risk of pancreatic cancer in postmenopausal women. Methods: This population-based, retrospective study extracted data from the US National Inpatient Sample (NIS) 2008-2018. Hospitalized females aged ≥55 years were eligible for inclusion. Associations between HRT, other study variables, and pancreatic cancer diagnosis were determined using univariate and multivariable regression analyses. Results: After 1:4 matching by age, data of postmenopausal women with (n = 35,309) and without (n = 141,236) HRT were included in the analysis. The mean age was 73.4 years. Multivariable analyses showed that women with HRT had significantly decreased odds of pancreatic cancer (adjusted OR [aOR], 0.69, 95 % CI: 0.53-0.90). Compared to patients without HRT, patients with HRT in the 55-64-year-old group (aOR 0.48, 95 % CI: 0.32-0.74), 65-74-year-old group (aOR 0.49, 95 % CI: 0.34-0.71), non-hypertensive group (aOR 0.55, 95 % CI: 0.38-0.79), and non-hyperlipidemia group (aOR 0.59, 95 % CI: 0.42-0.82) had significantly decreased odds of pancreatic cancer. Conclusions: In US postmenopausal women, HRT is associated with a reduced risk of pancreatic cancer, especially those aged 55-74 year. Further study is needed to clarify the mechanisms underlying the associations.

Three new taxa of the lichen genus Lobothallia (Megasporaceae, Ascomycota) from China.

Two new species; Lobothalliacrenulata Lun Wang & Y. Y. Zhang, L.lobulata Lun Wang & Y. Y. Zhang and one new variety; L.subdiffractavar.rimosa Lun Wang & Y. Y. Zhang, are reported from China and described, based on morphological, chemical and molecular characters. Phylogenetic analyses showed that these new taxa form monophyletic groups. Lobothalliacrenulata and L.lobulata, together with L.hydrocharis, L.radiosa and L.recedens, form a well-supported clade, whereas L.subdiffractavar.rimosa is nested within the samples of L.subdiffracta. Lobothalliacrenulata is characterised by its placodioid thallus, thickly pruinose upper surface with a rimose appearance, aspicilioid to lecanorine apothecia with a crenate thalline margin and concave, black and pruinose discs. Lobothallialobulata is characterised by its placodioid thallus, pruinose upper surface with lobules, aspicilioid when immature, lecanorine to zeorine apothecia at maturity and concave to plane, dark brown, shiny and epruinose discs. Lobothalliasubdiffractavar.rimosa is characterised by its areolate thallus, rimose and pruinose upper surface, lecanorine apothecia and slightly concave to plane, black and pruinose discs. Secondary metabolites were not detected in the two new species nor the new variety. A key is provided for the species of Lobothallia in China.

An open dataset for oracle bone character recognition and decipherment.

Oracle bone script, one of the earliest known forms of ancient Chinese writing, presents invaluable research materials for scholars studying the humanities and geography of the Shang Dynasty, dating back 3,000 years. The immense historical and cultural significance of these writings cannot be overstated. However, the passage of time has obscured much of their meaning, presenting a significant challenge in deciphering these ancient texts. With the advent of Artificial Intelligence (AI), employing AI to assist in deciphering Oracle Bone Characters (OBCs) has become a feasible option. Yet, progress in this area has been hindered by a lack of high-quality datasets. To address this issue, this paper details the creation of the HUST-OBC dataset. This dataset encompasses 77,064 images of 1,588 individual deciphered characters and 62,989 images of 9,411 undeciphered characters, with a total of 140,053 images, compiled from diverse sources. The hope is that this dataset could inspire and assist future research in deciphering those unknown OBCs. All the codes and datasets are available at https://github.com/Pengjie-W/HUST-OBC .

Investigating cutaneous tuberculosis and nontuberculous mycobacterial infections a Department of Dermatology, Beijing, China: a comprehensive clinicopathological analysis.

Background: Cutaneous tuberculosis (CTB) and nontuberculous mycobacteria (NTM) infections present considerable diagnostic and therapeutic challenges. This study aims to provide a comprehensive clinicopathological analysis of CTB and NTM infections. Methods: We conducted a retrospective analysis of 103 patients diagnosed with cutaneous tuberculosis (CTB) and nontuberculous mycobacteria (NTM) infections at a Beijing dermatology department from January 2000 to January 2024. Demographic, clinical, histological, and laboratory finding data were collected. Diagnostic methods and histopathological examination were recorded. Treatment regimens and outcomes were reviewed. Descriptive statistics were used to summarize demographic and clinical data, and continuous variables expressed as means and standard deviations (SD), and categorical variables as frequencies and percentages. Statistical analyses were conducted using SPSS version 25.0. Results: The cohort included 103 patients (40.8% males and 59.2% females), with a mean age of 51.86 years. Common clinical manifestations included nodules (97.1%), erythema (74.8%), and plaques (68.9%). Histological examination revealed hyperkeratosis (68.9%), parakeratosis (23.3%), and extensive neutrophil infiltration (95.1%) were observed. Acid fast bacteria (AFB) stains and nucleic acid tests exhibited respective positivity rates of 39.6% and 52.3%, respectively. Most patients were treated with a combination of three drugs; 77.1% of patients showed improvement, with the cure rate for CTB being 20.0%. Discussion: This study highlights the diverse clinical and histological presentations of CTB and NTM infections, emphasizing the need for comprehensive diagnostic approaches. The variability in treatment regimens reflects the complex management of these infections. Conclusion: The implementation of advanced molecular techniques and standardized treatment protocols is imperative for enhancing diagnostic precision and therapeutic outcomes.

A study on the academic innovation ability and influencing factors of public health graduate students based on nomograms: a cross-sectional survey from Shandong, China.

Background: In recent years, the impact of the COVID-19 pandemic and various public crises has highlighted the importance of cultivating high-quality public health talents, especially those with innovative capabilities. This study focuses on the academic innovation ability of public health postgraduate students, which can provide important theoretical support for the cultivation of more public health workers with high innovative capabilities. Methods: From May to October 2022, a cluster sampling method was used to select 1,076 public health postgraduate students from five universities in Shandong Province. A self-designed questionnaire survey was conducted. A chi-square test and binary logistic regression analysis were used to analyze the influencing factors of students' academic innovation ability. Based on these factors, a nomogram was constructed to intuitively demonstrate the impact of these complex factors on students' innovation ability. Results: The results showed that gender, whether serving as a student leader, teacher-student relationship, academic motivation, learning style, academic environment, and teaching mode were the influencing factors of postgraduate students' academic innovation ability. The column-line diagram (AUC = 0.892, 95% CI = 0.803 ~ 0.833) constructed based on the above influencing factors has good differentiation. The area under the ROC curve is 0.892 (95% CI = 0.803 ~ 0.833), and the calibration curve shows that the predicted value is the same as the measured value. Conclusion: The nomogram constructed in this study can be used to predict the academic innovation level of public health graduate students, which is helpful for university education administrators to evaluate students' academic innovation ability based on nomogram scores and carry out accurate and efficient training.

Reversible Structural Phase Transitions in Zero-dimensional Cu(I)-Based Metal Halides for Dynamically Tunable Emissions.

Exploring structural phase transitions and luminescence mechanisms in Zero-dimensional (0D) metal halides poses significant challenges, that are crucial for unlocking the full potential of tunable optical properties and diversifying their functional capabilities. Herein, we have designed two inter-transformable 0D Cu(I)-based metal halides, namely (C19H18P)2CuI3 and (C19H18P)2Cu4I6, through distinct synthesis conditions utilizing identical reactants. Their optical properties and luminescence mechanisms were systematically elucidated by experiments combined with density functional theory calculations. The bright cyan-fluorescent (C19H18P)2CuI3 with high photoluminescence quantum yield (PLQY) of 77% is attributed to the self-trapped exciton emission. Differently, the broad yellow-orange fluorescence of (C19H18P)2Cu4I6 displays a remarkable PLQY of 83%. Its luminescence mechanism is mainly attributed to the combined effects of metal/halide-to-ligand charge transfer and cluster-centered charge transfer, which effects stem from the strong Cu-Cu bonding interactions in the (Cu4I6)2- clusters. Moreover, (C19H18P)2CuI3 and (C19H18P)2Cu4I6 exhibit reversible structural phase transitions. The elucidation of the phase transitions mechanism has paved the way for an unforgeable anti-counterfeiting system. This system dynamically shifts between cyan and yellow-orange fluorescence, triggered by the phase transitions, bolstering security and authenticity. This work enriches the luminescence theory of 0D metal halides, offering novel strategies for optical property modulation and fostering optical applications.

Fabrication of Flexible Wearable Mechanosensors Utilizing Piezoelectric Hydrogels Mechanically Enhanced by Dipole-Dipole Interactions.

Conductive hydrogels have been increasingly employed to construct wearable mechanosensors due to their excellent mechanical flexibility close to that of soft tissues. In this work, piezoelectric hydrogels are prepared through free radical copolymerization of acrylamide (AM) and acrylonitrile (AN) and further utilized in assembling flexible wearable mechanosensors. Introduction of the polyacrylonitrile (PAN) component in the copolymers endows the hydrogels with excellent piezoelectric properties. Meanwhile, significant enhancement of mechanical properties has been accessed by forming dipole-dipole interactions, which results in a tensile strength of 0.51 MPa. Flexible wearable mechanosensors are fabricated by utilizing piezoelectric hydrogels as key signal converting materials. Self-powered piezoelectric pressure sensors are assembled with a sensitivity (S) of 0.2 V kPa-1. Additionally, resistive strain sensors (gauge factor (GF): 0.84, strain range: 0-250%) and capacitive pressure sensors (S: 0.23 kPa-1, pressure range: 0-8 kPa) are fabricated by utilizing such hydrogels. These flexible wearable mechanosensors can monitor diverse body movements such as joint bending, walking, running, and stair climbing. This work is anticipated to offer promising soft materials for efficient mechanical-to-electrical signal conversion and provides new insights into the development of various wearable mechanosensors.

Augmented pathogen detection in brain abscess using metagenomic next-generation sequencing: a retrospective cohort study.

Brain abscess is a severe infection characterized by the accumulation of pus within the brain parenchyma. Accurate identification of the causative pathogens is crucial for effective treatment and improved patient outcomes. This 10-year retrospective, single-center study aimed to compare the detection performance of conventional culture methods and metagenomic next-generation sequencing (mNGS) in brain abscess. We reviewed 612 patients diagnosed with brain abscess and identified 174 cases with confirmed etiology. The median age was 52 years, with 69.5% males. Culture tests predominately identified gram-positive bacteria, particularly Streptococcus spp. Gram-negative bacteria, including Klebsiella spp., were also detected. However, mNGS revealed a more diverse pathogen spectrum, focusing on anaerobes (e.g., Fusobacterium spp., Parvimonas spp., Porphyromonas spp., Prevotella spp., and Tannerella spp.). mNGS exhibited significantly higher overall pathogen-positive rates in pus samples (85.0% vs 50.0%, P = 0.0181) and CSF samples (84.2% vs 7.9%, P < 0.0001) compared to culture. Furthermore, the detection rates for anaerobes displayed a notable disparity, with mNGS yielding significantly higher positive detections in both pus samples (50.0% vs 10%, P = 0.0058) and CSF samples (18.4% vs 0%, P = 0.0115) when compared to culture methods. The assistance of mNGS in pathogen detection, particularly anaerobes in brain abscess, was evident in our findings. mNGS demonstrated the ability to identify rare and fastidious pathogens, even in culture-negative cases. These results emphasize the clinical value of mNGS as a supplement for brain abscess, enabling more comprehensive and accurate pathogen identification.IMPORTANCEThe accurate identification of pathogens causing brain abscess is crucial for effective treatment and improved patient outcomes. In this 10-year retrospective study, the detection performance of conventional culture methods and metagenomic next-generation sequencing (mNGS) was compared. The study analyzed 612 patients with brain abscess and confirmed etiology in 174 cases. The results showed that culture tests predominantly identified gram-positive bacteria, while mNGS unveiled a broader diverse pathogen spectrum, particularly anaerobes. The mNGS method exhibited significantly higher overall rates of pathogen positivity both in pus and cerebrospinal fluid (CSF) samples, surpassing the culture methods. Notably, mNGS detected a significantly higher number of anaerobes in both pus and CSF samples compared to culture methods. These findings underscore the clinical value of mNGS as a supplement for brain abscess diagnosis, enabling more comprehensive and accurate pathogen identification, particularly for rare and fastidious pathogens that evade detection by conventional culture methods.

Bioresponsive and transformable coacervate actuated by intestinal peristalsis for targeted treatment of intestinal bleeding and inflammation.

Developing an oral in situ-forming hydrogel that targets the inflamed intestine to suppress bleeding ulcers and alleviate intestinal inflammation is crucial for effectively treating ulcerative colitis (UC). Here, inspired by sandcastle worm adhesives, we proposed a water-immiscible coacervate (EMNs-gel) with a programmed coacervate-to-hydrogel transition at inflammatory sites composed of dopa-rich silk fibroin matrix containing embedded inflammation-responsive core-shell nanoparticles. Driven by intestinal peristalsis, the EMNs-gel can be actuated forward and immediately transform into a hydrogel once contacting with the inflamed intestine to yield strong tissue adhesion, resulting from matrix metalloproteinases (MMPs)-triggered release of Fe3+ from embedded nanoparticles and rearrangement of polymer network of EMNs-gel on inflamed intestine surfaces. Extensive in vitro experiments and in vivo UC models confirmed the preferential hydrogelation behavior of EMNs-gel to inflamed intestine surfaces, achieving highly effective hemostasis, and displaying an extended residence time ( > 48 h). This innovative EMNs-gel provides a non-invasive solution that accurately suppresses severe bleeding and improves intestinal homeostasis in UC, showcasing great potential for clinical applications.

Biomimetic Iron-Based Nanoparticles Remodel Immunosuppressive Tumor Microenvironment for Metabolic Immunotherapy.

Introduction: Immunotherapy has led to a paradigm shift in reinvigorating treatment of cancer. Nevertheless, tumor associated macrophages (TAMs) experience functional polarization on account of the generation of suppressive metabolites, contributing to impaired antitumor immune responses. Methods: Hence, metabolic reprogramming of tumor microenvironment (TME) can synergistically improve the efficacy of anti-tumor immunotherapy. Herein, we engineered an iron-based nanoplatform termed ERFe3O4 NPs. This platform features hollow Fe3O4 nanoparticles loaded with the natural product emodin, the outer layer is coated with red blood cell membrane (mRBCs) inserted with DSPE-PEG2000-galactose. This effectively modulates lactate production, thereby reversing the tumor immune suppressive microenvironment (TIME). Results: The ERFe3O4 NPs actively targeted TAMs on account of their ability to bind to M2-like TAMs with high expression of galectin (Mgl). ERFe3O4 NPs achieved efficient ability to reverse TIME via the production of reducing lactate and prompting enrichment iron of high concentrations. Furthermore, ERFe3O4 NPs resulted in heightened expression of CD16/32 and enhanced TNF-α release, indicating promotion of M1 TAMs polarization. In vitro and in vivo experiments revealed that ERFe3O4 NPs induced significant apoptosis of tumor cells and antitumor immune response. Discussion: This study combines Traditional Chinese Medicine (TCM) with nanomaterials to synergistically reprogram TAMs and reverse TIME, opening up new ideas for improving anti-tumor immunotherapy.

Semantic Interaction Meta-Learning Based on Patch Matching Metric.

Metric-based meta-learning methods have demonstrated remarkable success in the domain of few-shot image classification. However, their performance is significantly contingent upon the choice of metric and the feature representation for the support classes. Current approaches, which predominantly rely on holistic image features, may inadvertently disregard critical details necessary for novel tasks, a phenomenon known as "supervision collapse". Moreover, relying solely on visual features to characterize support classes can prove to be insufficient, particularly in scenarios involving limited sample sizes. In this paper, we introduce an innovative framework named Patch Matching Metric-based Semantic Interaction Meta-Learning (PatSiML), designed to overcome these challenges. To counteract supervision collapse, we have developed a patch matching metric strategy based on the Transformer architecture to transform input images into a set of distinct patch embeddings. This approach dynamically creates task-specific embeddings, facilitated by a graph convolutional network, to formulate precise matching metrics between the support classes and the query image patches. To enhance the integration of semantic knowledge, we have also integrated a label-assisted channel semantic interaction strategy. This strategy merges word embeddings with patch-level visual features across the channel dimension, utilizing a sophisticated language model to combine semantic understanding with visual information. Our empirical findings across four diverse datasets reveal that the PatSiML method achieves a classification accuracy improvement of 0.65% to 21.15% over existing methodologies, underscoring its robustness and efficacy.

Fresnel Diffraction Model for Laser Dazzling Spots of Complementary Metal Oxide Semiconductor Cameras.

Laser dazzling on complementary metal oxide semiconductor (CMOS) image sensors is an effective method in optoelectronic countermeasures. However, previous research mainly focused on the laser dazzling under far fields, with limited studies on situations that the far-field conditions were not satisfied. In this paper, we established a Fresnel diffraction model of laser dazzling on a CMOS by combining experiments and simulations. We calculated that the laser power density and the area of saturated pixels on the detector exhibit a linear relationship with a slope of 0.64 in a log-log plot. In the experiment, we found that the back side illumination (BSI-CMOS) matched the simulations, with an error margin of 3%, while the front side illumination (FSI-CMOS) slightly mismatched the simulations, with an error margin of 14%. We also found that the full-screen saturation threshold for the BSI-CMOS was 25% higher than the FSI-CMOS. Our work demonstrates the applicability of the Fresnel diffraction model for BSI-CMOS, which provides a valuable reference for studying laser dazzling.

Tetrahedral Framework Nucleic Acids Delivery of Pirfenidone for Anti-Inflammatory and Antioxidative Effects to Treat Idiopathic Pulmonary Fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a chronic and irreversible lung disease, and developing an effective treatment remains a challenge. The limited therapeutic options are primarily delivered by the oral route, among which pirfenidone (PFD) improves pulmonary dysfunction and patient quality of life. However, its high dose and severe side effects (dyspepsia and systemic photosensitivity) limit its clinical value. Intratracheal aerosolization is an excellent alternative method for treating lung diseases because it increases the concentration of the drug needed to reach the focal site. Tetrahedral framework nucleic acid (tFNA) is a drug delivery system with exceptional delivery capabilities. Therefore, we synthesized a PFD-tFNA (Pt) complex using tFNA as the delivery vehicle and achieved quantitative nebulized drug delivery to the lungs via micronebulizer for lung fibrosis treatment. In vivo, Pt exhibited excellent immunomodulatory capacity and antioxidant effects. Furthermore, Pt reduced mortality, gradually restored body weight and improved lung tissue structure. Similarly, Pt also exhibited superior fibrosis inhibition in an in vitro fibrosis model, as shown by the suppression of excessive fibroblast activation and epithelial-mesenchymal transition (EMT) in epithelial cells exposed to TGF-ß1. Conclusively, Pt, a complex with tFNA as a transport system, could enrich the therapeutic regimen for IPF via intratracheal aerosolization inhalation.

The Bidirectional Relation Between Bullying/Victimization and Negative Automatic Thoughts among Children.

As a common form of negative interpersonal interaction in childhood, school bullying is closely related to individual negative cognition. Few studies have assessed whether there is an interaction between different kinds of school bullying roles and negative cognition. The present study administered four questionnaire follow-up tests among Chinese children over two years to explore the bidirectional relation and underlying mechanisms between bullying/victimization and negative automatic thoughts (about self/others). A total of 993 children with MT1age = 9.66 ± 0.72 participated in the study, including 647(65.16%) boys and 346(34.84%) girls. Results indicated a bidirectional relation between victimization and negative automatic thoughts (about self/others); negative automatic thoughts (about self/others) predicting bullying; negative automatic thoughts (about self/others) form two vicious cycles with victimization separately, in which victimization plays a mediating role. The findings suggest that considering improving children's negative cognition of self and others is an important pathway to reduce the occurrence of bullying and victimization in children and to stop children from falling into the cycle of victimization, which is crucial for children to have healthy relationships later in adolescence.

Biodegradable Piezoelectric-Conductive Integrated Hydrogel Scaffold for Repair of Osteochondral Defects.

Osteochondral injury is a prevalent condition for which no specific treatment is currently available. This study presents a piezoelectric-conductive scaffold composed of a piezoelectric cartilage-decellularized extracellular matrix (dECM) and piezoelectric-conductive modified gelatin (Gel-PC). The piezoelectricity of the scaffold is achieved through the modification of diphenylalanine (FF) assembly on the pore surface, while the conductive properties of scaffold are achieved by the incorporating poly(3,4-ethylenedioxythiophene). In vitro experiments demonstrate that bone marrow mesenchymal stem cells (BMSCs) undergo biphasic division during differentiation. In vivo studies using a Parma pig model of osteochondral defects demonstrate that the piezoelectric-conductive scaffold exhibits superior reparative efficacy. Notably, the generation of electrical stimulation is linked to joint movement. During joint activity, mechanical forces compress the scaffold, leading to deformation and the subsequent generation of an electric potential difference. The positive charges accumulated on the upper layer of the scaffold attract BMSCs, promoting their migration to the upper layer and chondrogenic differentiation. Meanwhile, the negative charges in the lower layer induce the osteogenic differentiation of BMSCs. Overall, this piezoelectric-conducive scaffold provides a promising platform for the effective repair of osteochondral defects.

The novel HSP90 monoclonal antibody 9B8 ameliorates articular cartilage degeneration by inhibiting glycolysis via the HIF-1 signaling pathway.

Osteoarthritis (OA) is a prevalent chronic degenerative disease that affects the bones and joints, particularly in middle-aged and elderly individuals. It is characterized by progressive joint pain, swelling, stiffness, and deformity. Notably, treatment with a heat shock protein 90 (HSP90) inhibitor has significantly curtailed cartilage destruction in a rat model of OA. Although the monoclonal antibody 9B8 against HSP90 is recognized for its anti-tumor properties, its potential therapeutic impact on OA remains uncertain. This study investigated the effects of 9B8 on OA and its associated signaling pathways in interleukin-1ß (IL-1ß)-stimulated human chondrocytes and a rat anterior cruciate ligament transection (ACLT) model. A specific concentration of 9B8 preserved cell viability against IL-1ß-induced reduction. In vitro, 9B8 significantly reduced the expression of extracellular matrix-degrading enzyme such as disintegrin and metallopeptidase-4 (ADAMTS4) of thrombospondin motifs, matrix metalloproteinase-13 (MMP-13), as well as cellular inflammatory factors such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6), which were upregulated by IL-1ß. In vivo, 9B8 effectively protected the articular cartilage and subchondral bone of the rat tibial plateau from ACLT-induced damage. Additionally, gene microarray analysis revealed that IL-1ß substantially increased the expression of SLC2A1, PFKP, and ENO2 within the HIF-1 signaling pathway, whereas 9B8 suppressed the expression of these genes. Thus, 9B8 effectively mitigates ACLT-induced osteoarthritis in rats by modulating the HIF-1 signaling pathway, thereby inhibiting overexpression involved in glycolysis. These results collectively indicate that 9B8 is a promising novel drug for the prevention and treatment of OA.

In vitro digestion and functional properties of bovine ß-casein: A comparison between adults and infants.

Gastrointestinal digestibility behavior, structural and functional characteristics of bovine ß-casein (ß-CN) were studied in vitro under infant and adult conditions. This direct comparison helps reveal the effects of different physiological stages on the digestive behavior of ß-CN. Not only was the degree of hydrolysis (DH) of ß-CN analyzed, but also the changes in its digestive morphology, microstructure, and secondary structure during digestion were explored in depth. Meanwhile, we focused on the physicochemical properties of ß-CN digesta, including solubility, emulsifying and foaming properties, as well as their functional properties, such as antimicrobial and antioxidant activities. Key results showed that ß-CN underwent more extensive hydrolysis in the adult digestion model, with approximately twice the DH compared to the infant model. The adult model exhibited faster digestion kinetics, less protein flocculation, and a more loosened secondary structure, indicating a more efficient digestion process. Notably, the digesta from the adult model displayed significantly improved solubility and emulsifying properties, and also enhanced antioxidant capacities, with significantly better inhibition of two common pathogenic bacteria than the infant model, and an average increase in the diameter of the inhibition zone of approximately 2 mm. These findings underscore the differential digestive behavior and functional potential of ß-CN across physiological stages. This comprehensive assessment approach contributes to a more comprehensive insight into the digestive behavior of ß-CN. Therefore, we conclude that producing products from unmodified ß-CN may be more suitable for the adult population, and that the digesta in the adult model exhibit higher functional properties.