Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

How to effectively promote osseointegration of dental implants remains a pressing clinical challenge. Low-intensity pulsed ultrasound (LIPUS) has demonstrated remarkable efficacy in accelerating the healing of various bodily tissues, including bone tissue. In recent years, there has been extensive research on its application in promoting osseointegration in the field of dental implantology. Animal studies have shown that LIPUS exhibits significant potential in facilitating osseointegration of dental implants. In vitro experiments have further revealed that LIPUS can enhance the expression of key osteogenic factors, extracellular matrix mineralization, and induce local neurons to secrete αCGRP. Through the regulation of signaling pathways such as bone morphogenetic protein/Smad (Bmp/Smad), mitogen-activated protein kinase (MAPK), and phosphatidylinositol 3-kinase/protein kinase B (PI3k/Akt), LIPUS promotes the proliferation, migration, and osteogenic differentiation of osteogenic-related cells, thereby enhancing osseointegration of dental implants. Additionally, clinical studies have shown that bone mass increases around the implants after LIPUS treatment, with more pronounced growth observed on the buccal bone plate than on the palatal side. Furthermore, there is a lack of research that systematically summarizes the clinical evidence, in vitro and in vivo studies, and mechanisms of action regarding the role of LIPUS in promoting osseointegration of implants. Therefore, the aim of this study is to discuss the mechanisms of effect of LIPUS on osseointegration of implants, with the goal of further enhancing the outcome of implant-supported prosthodontic treatment.

OBJECTIVE To explore the effects of prescription pre-review system on rational drug use and off-label drug use management in outpatient and emergency department. METHODS A retrospective analysis was conducted on outpatient and emergency department prescription data from three phases in our hospital： January to May 2023 （silent review phase， control group）， June to October 2023 （systematic automatic review phase， intervention group 1）， and November 2023 to March 2024 （phase combining systematic automatic review with centralized feedback from pharmacists to physicians regarding irrational prescriptions， intervention group 2）. These phases followed the implementation of our hospital’s pre-prescription review software. Statistical analysis of the prompt rate of alert， rate of irrational prescriptions， registered the off-label drug use rate and false positive irrationality prescription rate were conducted. Meanwhile， the composition of irrational prescriptions was analyzed， and evidence- based evaluation of the off-label drug use proposed by clinicians was also conducted. RESULTS Compared with control group， the prompt rate of alert and the rate of irrational prescriptions in intervention group 1 were all decreased significantly after receiving pop-up notification， with statistically significant differences （P＜0.05）. With the help of system warning and the pharmacists feedback， the prompt rate of alert and the rate of irrational prescriptions declined further in the intervention group 2， but there was no statistically significant difference when compared with intervention group 1 （P＞0.05）. The main type of irrational drug use was improper administration routes. When comparing intervention group 1 with the control group， as well as intervention group 2 with intervention group 1， a significant decrease in the rate of improper administration routes was observed， with statistically significant differences （P＜0.05）. Compared with control group， there was no significant difference in the registered off-label drug use rate of intervention group 1 and intervention group 2 （P＞0.05）. The doctor’s awareness of off-label drug use registration increased due to the real-time alerts from the pre-prescription review software， along with the pharmacists’ regular summarization and feedback. Total 13 items registrations of off-label drug use were proposed by clinicians from June 2023 to March 2024， all of which were supported by evidence of varying levels； among them， 3 items received FDA approval， 4 items were included in the Micromedex database， and the remaining 6 items were supported by evidence from system reviews or randomized controlled trials. CONCLUSIONS Prescription pre-review system can improve the level of rational drug use and assist in the standardized management of off-label drug use.

Objective: To investigate the mental health status and related factors among primary and secondary school students in western Yunnan Province, so ao to provide scientific evidences for advancing mental health education. Methods: In June 2024, a stratified cluster sampling method was employed to select 4 584 students from 18 schools across Diqing Tibetan Autonomous Prefecture, Lincang City and Baoshan City three regions in western Yunnan Province. The Mental Health Test (MHT) was used for assessment. Latent class analysis (LCA) and Logistic regression were applied for data classification and related factor analysis respectively. Results: The overall positive detection rate of MHT was 11.81%, with a mean total score of 40.50±19.25. The predominant issues were learning anxiety (58.4%), hypersensitivity tendency (31.1%), and self blame tendency (23.1%). LCA categorized students into four groups:severe psychological problems group (74.4% detection rate), learning anxiety hypersensitivity group ( 16.4 %), learning anxiety physical symptoms group (9.2%), and healthy group (0). Logistic regression revealed that compared with the healthy group, the severe problems group showed higher risks among females ( OR =3.01), junior/senior high school students ( OR =1.88/4.02), and those with authoritarian parenting ( OR =3.54); the anxiety hypersensitivity group had higher risks for females ( OR =1.87), senior high students ( OR =1.54), boarders ( OR =1.31), and authoritarian parenting recipients ( OR = 1.85 ); the anxiety physical symptoms group demonstrated increased risks among females ( OR =2.22), senior high students ( OR =2.58), and authoritarian parenting recipients ( OR =2.74), while lower risks were observed for students with parent/grandparent guardians ( OR =0.38) and non only children ( OR =0.58) (all P <0.05). Conclusions Mental health problems are prominent among students in western Yunnan, with gender, grade level, boarding status, guardian type, and parenting style being key determinants. Recommendations include strengthening mental health education, prioritizing left behind children s psychological well being and promoting healthy development.

The Consolidated Standards of Reporting Trials (CONSORT) statement aims to enhance the quality of reporting for randomized controlled trial (RCT) by providing a minimum item checklist. It was first published in 1996, and updated in 2001 and 2010, respectively. The latest version was released in April 2025, continuously reflecting new evidence, methodological advancements, and user feedback. CONSORT 2025 includes 30 essential checklist items and a template for a participant flow diagram. The main changes to the checklist include the addition of 7 items, revision of 3 items, and deletion of 1 item, as well as the integration of multiple key extensions. This article provides a comprehensive interpretation of the statement, aiming to help clinical trial staff, journal editors, and reviewers fully understand the essence of CONSORT 2025, correctly apply it in writing RCT reports and evaluating RCT quality, and provide guidance for conducting high-level RCT research in China.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective: To explore the effects of parenting style on emotional and behavioral problems (EBPs) of preschool children and to provide theoretical reference for promoting children s physical and mental health. Methods: In October-November 2021, a stratified cluster random sampling method was adopted to select 3 575 preschool children aged 3-6 years from 12 kindergartens in Hefei. Data on parenting styles and children s EBPs were collected through electronic questionnaires. Binary Logistic regression model was used to explore the effects of parenting styles on children s EBPs. Results: The detection rates of emotional symptoms, conduct problems, hyperactivity, peer interaction problems, and prosocial behavior problems were 15.5% ( n =554), 23.2% ( n =830), 22.4% ( n =802), 38.2% ( n =1 367), and 29.5% ( n =1 055) in preschool children, respectively. Binary Logistic regression analysis showed that after adjusting for covariates such as child s age, sex, and preterm birth, a high authoritative parenting style reduced the risk of EBPs in children ( OR =0.29-0.78), while a high authoritarian ( OR =1.36-2.15) and high permissive ( OR =1.36-1.68) parenting style in mothers increased the risk of EBPs in children (all P <0.05). Further stratified analysis indicated that among children with fathers exhibiting high authoritative, high authoritarian, or high permissive parenting styles, a high authoritative parenting style in mothers reduced the risk of peer interaction problems and prosocial behavior problems ( OR =0.51, 0.30 ; 0.44, 0.23; 0.51, 0.29, all P <0.05). Among children with fathers exhibiting a high authoritative parenting style, a high authoritarian parenting style in mothers increased the risk of emotional problems ( OR =2.59), and both high authoritarian and high permissive parenting styles in mothers increased the risk of conduct problems ( OR =3.25, 2.09) and hyperactivity problems ( OR =2.35, 2.87) (all P <0.05). Among children with fathers exhibiting high authoritarian or high permissive parenting styles, a high authoritarian parenting style in mothers increased the risk of EBPs ( OR =1.65-2.71, 1.62-2.52, all P <0.05). Conclusion Parenting style is an important factor affecting EBPs of preschool children, and appropriate parenting style is beneficial for children s psychological development.

The announcement of the 9th edition of TNM staging system for thymic tumors was one of the highlights at the World Conference on Lung Cancer 2023. The revision, based on a larger and more detailed database, provides changes and confirmation from the last system. The 9th edition of TNM staging system aims to balance statistical significance and clinical feasibility. The birth of an improved TNM staging system heralds the changes that will follow in clinical practice and scientific research.

Parkinson's disease (PD) is a chronic neurodegenerative disease. At present, levodopa and other drugs are mainly used for dopamine supplementation therapy. However, the absorption of levodopa in the gastrointestinal tract is unstable and its half-life is short, and long-term use of levodopa will lead to the end-of-dose deterioration, dyskinesia, the "ON-OFF" phenomenon and other symptoms. Therefore, new preparations need to be developed to improve drug efficacy, reduce side effects or improve compliance of patients. Based on the above clinical needs, this review briefly introduced the preparation modification strategies for the treatment of PD through case analysis, in order to provide references for the research and development of related preparations.

Background Long-term exposure to free silica particles will lead to fibrosis of lung tissue, and abnormal expression of microRNA (miRNA) may affect the occurrence and process of fibrosis. Objective To observed possible intervention effect of miR-204-3p overexpression adenovirus on silicosis fibrosis induced by silica dust using a silicosis rat model via non-exposed intratracheal instillation. Methods Forty SD rats were randomly divided into four groups: control group, silicosis model group, miRNA-NC group, and miR-204-3p intervention group. Under ether anesthesia, rats in the silicosis model group, miRNA-NC group, and miR-204-3p intervention group were injected with 1 mL (50 mg·mL⁻¹) of free silica dust suspension into the trachea, while the control group was injected with the same volume of normal saline. After 30 d of dust exposure, the miR-204-3p intervention group was injected with rno-mir-204 adenovirus vector to overexpress miR-204-3p, and the miRNA-NC group was given empty virus vector. After 30 d of normal feeding, the animals were sacrificed by chloral hydrate anesthesia, and the lung tissue was taken for subsequent experiments. The relative expression level of miR-204-3p in lung tissue of rats in each group was detected by real-time fluorescence quantitative PCR (RT-qPCR). HE staining, Masson staining, and Sirius red staining were used for pathological observation. Immunohistochemistry was used to detect the expression of Fibronectin and Collagen I in lung tissue of rats in each group. RT-qPCR was used to detect the relative gene expression levels of fibrosis markers Fibronectin, Vimentin, Collagen I, and Collagen III in lung tissue of rats in each group. Western blot was used to detect the protein expression levels of fibrosis markers Fibronectin, Vimentin, Collagen I, and Collagen III in lung tissue of rats in each group. Results The anatomical features of lung tissue in the control group were pink lung tissue with soft texture and smooth surface, while those in the silicosis model were grayish white tissue with hard texture and scars and grayish white silicon nodules on the surface. Compared with the silicosis model group, the color of lung tissue in the miR-204-3p intervention group became ruddy, the surface was smooth, and the texture became soft. The staining results showed that the alveolar wall of the control group was thin, there were a small number of capillaries in the alveoli, and the alveolar structure was clear and complete. In the silicosis model group, the alveolar wall became thicker, the pulmonary septum was partially broken, the alveolar structure was defective, and a large amount of collagen fibers were deposited. The alveolar structure of the miR-204-3p intervention group was relatively clear and there was a small amount of collagen fiber deposition. RT-qPCR results showed that compared with the control group, the relative expression levels of miR-204-3p in lung tissue of the silicosis model group and the miRNA-NC group were decreased (P<0.05), and the relative expression level of miR-204-3p in lung tissue of the miR-204-3p intervention group was increased (P＜0.05). The results of immunohistochemistry showed that compared with the control group, the expression levels of Fibronectin and Collagen I in lung tissue of the silicosis model group were increased (P＜0.05). Compared with the silicosis model group, the relative expression levels of Fibronectin and Collagen I in lung tissue of the rats in the miR-204-3p intervention group were significantly decreased (P<0.05). The results of RT-qPCR and Western blot showed that compared with the control group, the relative protein and gene expression levels of fibrosis factors Fibronectin, Vimentin, Collagen I, and Collagen III in lung tissue of the silicosis model group increased (P＜0.05). Compared with the silicosis model group, the relative gene and protein expression levels of fibrosis factors Fibronectin, Vimentin, Collagen I, and Collagen III in lung tissue of rats in the miR-204-3p intervention group were decreased (P＜0.05). Conclusion Silica dust can cause lung fibrosis in rats, and overexpression of miR-204-3P in vivo can reduce silicosis fibrosis in rats caused by silica dust.