ObjectiveTo investigate the expression changes of the Endophilin A1 （EPA1）-reactive oxygen species （ROS）-NLR family pyrin domain containing 1 （NLRP1） signaling pathway in chronic unpredictable mild stress （CUMS）-induced depression model mice. Methods50 C57BL/6 mice were randomly divided into control group and CUMS model group（n=25）. The model mice received 42 days of CUMS stress exposure， after which behavioral changes were assessed through monitoring body weight， sucrose preference test， forced swim test， tail suspension test， open field test， and elevated plus-maze test. Hematoxylin-Eosin and Nissl staining were used to observe neuronal damage in hippocampal CA1 and CA3 regions. Calcium ion （Ca²⁺） assay kit was used to detect Ca²⁺ levels in the hippocampus. Immunofluorescence was used to detect colocalization of EPA1 and NLRP1 as well as ROS changes in the hippocampus. Transmission electron microscopy was used to observe mitochondrial structure in hippocampal neurons. The expression levels of calcium-activated neutral protease 1 （Calpain-1）， nicotinamide adenine dinucleotide phosphate oxidase 2 （NOX2）， NLRP1 inflammasome， downstream inflammatory proteins， and synapse-associated proteins in the hippocampus of mice was detected by using Western blot. ResultsCompared with the control group， mice in the CUMS model group exhibited depressive-like behavior and hippocampal neuronal damage. The levels of NLRP1 and EPA1 significantly increased in the hippocampus， and both were co-expressed in the cytoplasm and membrane of hippocampal neurons in the CUMS group mice（P<0.01）. Ca²⁺ concentration was elevated（P<0.01）， and the protein levels of Calpain 1 and NOX2 were upregulated（P<0.01）. The average fluorescence intensity of ROS significantly increased， accompanied by structural damage to neuronal mitochondria（P<0.01）. The levels of NLRP1 and its downstream inflammatory proteins significantly increased （P<0.01）， while the expression levels of synapse-associated proteins significantly decreased （P<0.01）. ConclusionEPA1 exhibits abnormal expression changes in CUMS-induced depression model mice， which may be closely associated with ROS generation， NLRP1 inflammasome activation， and the regulation of synaptic protein expression.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective: To explore the correlation between parent-child separation experience and non suicidal self injury (NSSI) behavior among junior and senior high school students, so as to provide a reference for the prevention and improvement of NSSI behavior among junior and senior high school students. Methods: Using a stratified cluster random sampling method, 3 114 junior and senior high school students aged 11-19 years were recruited from Chenzhou and Jishou cities in Hunan Province between November 2024 and September 2025. A self designed questionnaire and the Functional Self injury Behavior Assessment Scale were used to collect information on parental labor migration and adolescents NSSI behavior status. Binary Logistic regression model was used to analyse the association between parent-child separation experiences and NSSI behavior among junior and senior high school students, with further stratified analysis by gender. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 9.9%, and the overall incidence of parent-child separation was 48.9%, comprising 17.1% separated from their father only, 5.5% separated from their mother only, and 26.3% separated from both parents. After adjusting for variables such as age, gender, and ethnicity, the results of binary Logistic regression analyses indicated that adolescents with parent-child separation experiences had a higher risk of NSSI behavior ( OR =1.31, 95% CI =1.01-1.69, P <0.05). Compared with those without parent-child separation experiences, adolescents who were separated from their mother only ( OR =1.68, 95% CI =1.03-2.74) or from both parents ( OR =1.41, 95% CI =1.04-1.92) showed significantly increased risks of NSSI behavior (both P <0.05). Conclusions Parent-child separation experiences are associated with an increased risk of NSSI behavior among junior and senior high school students. Strengthened attention should be paid to left behind senior high school students to reduce the occurrence of NSSI in adolescents.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

ObjectiveTo establish a highly specific and sensitive triplex TaqMan quantitative PCR method for the detection of mouse hepatitis virus (MHV), mouse parvovirus (MPV), and reovirus type 3 (Reo-3) in laboratory mice. MethodsRecombinant plasmid standards were constructed using conserved genomic regions of the three target viruses. Specific primers and probes were designed, and a triplex TaqMan quantitative PCR (qPCR) system was optimized through preliminary experiments. Sensitivity was evaluated using 10-fold serial dilutions (10¹-10⁷ copies/μL). Intra- and inter-assay repeatability were assessed via reproducibility experiments. ResultsA strong linear correlation (R ²>0.99) was observed between copy number and Ct value at template concentrations of 10²-10⁷ copies/μL. Intra-assay and inter-assay coefficients of variation (CV) were both below 5%. No cross-reactivity was observed with mouse cytomegalovirus (MCMV), vesicular stomatitis virus (VSV), Sendai virus (SeV), or pneumonia virus of mice (PVM). ConclusionThe triplex TaqMan quantitative PCR method established in this study has high sensitivity, good repeatability, and strong specificity. It enables the rapid, specific, and sensitive detection of MHV, MPV, and Reo-3, allows the simultaneous detection of multiple pathogens in a single tube, and can be applied to the detection of clinical samples from laboratory animals and to epidemiological investigations, thereby providing effective scientific and technological support for the prevention and control of viral infection and the interruption of transmission.

Juvenile dermatomyositis(JDM) is the most common idiopathic inflammatory myopathy in children, characterized by symmetric proximal muscle weakness and characteristic skin rashes, which may be accompanied by involvement of major organs. Aberrant upregulation of the interferon signaling pathway has been confirmed as the core pathological mechanism of JDM, and is closely associated with mitochondrial dysfunction, peripheral blood immune cell dysregulation, muscle damage and repair dysfunction, as well as cutaneous and pulmonary lesions. Interferon-related biomarkers and interferon scores can serve as evaluation indicators for disease activity. Type Ⅰ interferon inhibitors and Janus kinase inhibitors provide new therapeutic options for refractory JDM. This review systematically summarizes the role of the interferon signaling pathway in the pathogenesis of JDM and its potential therapeutic targets, aiming to provide references for the mechanistic research and precise treatment of JDM.

Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

ObjectiveCerebral ischemic injury triggers a complex pathological cascade characterized by excessive reactive oxygen species (ROS) accumulation, persistent oxidative stress, and sustained neuroinflammation in the injured brain microenvironment. These events collectively drive mitochondrial dysfunction, microglial overactivation, pro-inflammatory cytokine release, and progressive neuronal apoptosis, ultimately leading to severe and irreversible neurological deficits. However, conventional therapeutic strategies face critical limitations, including poor blood-brain barrier penetration, insufficient local drug concentration, uncontrolled drug release, and off-target systemic side effects. To address this pathological process, we rationally designed and fabricated an injectable ROS-responsive hydrogel loaded with polydopamine nanoparticles (PDA NPs) for spatiotemporally controlled antioxidation, anti-inflammation, and neuroprotection in the ischemic injury microenvironment. The present study aimed to systematically characterize the physicochemical properties, ROS-responsive drug release behavior, biocompatibility, and neuroprotective efficacy of this composite hydrogel system in vitro. MethodsPDA NPs were fabricated via oxidative self-polymerization. The ROS-responsive hydrogel was cross-linked using N1-(4-boronobenzyl)-N3-(4-boronophenyl)-N1,N1,N3,N3-tetramethylpropane-1, 3-diaminium (TSPBA) and polyvinyl alcohol (PVA). Morphology, particle size, Zeta potential, and structure of PDA NPs were characterized by dynamic light scattering (DLS), Zeta potential analysis, scanning electron microscopy (SEM), and transmission electron microscopy (TEM). Microstructure, rheological properties, shear-thinning behavior, and ROS-triggered release profiles of the hydrogel were examined by SEM and rheometry. Biocompatibility was evaluated using HT22 mouse hippocampal neurons with CCK-8 and live/dead staining. An oxygen-glucose deprivation/reoxygenation (OGD/R) model was established to simulate ischemic injury in vitro. ROS levels and neuronal apoptosis were detected by DHE staining and TUNEL assay. Microglial polarization and pro-inflammatory cytokine expression were analyzed using immunofluorescence and RT-qPCR in BV-2 microglia. Transwell co-culture was used to verify the indirect neuroprotection mediated by modulated microglia. ResultsCharacterization results confirmed that the as-prepared PDA NPs were monodispersed spherical nanoparticles with uniform diameter and negative surface potential, demonstrating favorable dispersibility and robust ROS-scavenging activity. The TSPBA-PVA hydrogel exhibited a highly porous interconnected network, suitable mechanical strength, and obvious shear-thinning behavior, supporting its application as an injectable implant. More importantly, the hydrogel displayed typical ROS-responsive degradation and on-demand PDA NP release in a ROS-concentration-dependent manner. In vitro cellular experiments demonstrated that the PDA NP-loaded hydrogel possessed excellent biocompatibility with HT22 cells. In the OGD/R model, the hydrogel significantly reduced intracellular ROS accumulation and markedly suppressed neuronal apoptosis. Furthermore, the composite hydrogel effectively redirected BV-2 microglia from the pro-inflammatory M1 toward the anti-inflammatory M2 phenotypes, downregulated the expression of pro-inflammatory cytokines including TNF-α, IL-1β, and IL-6, and reduced inflammatory damage. Transwell co-culture assays further validated that M2-polarized microglia mediated by the hydrogel significantly enhanced the survival of OGD/R-injured HT22 neurons and attenuated apoptosis. ConclusionIn this study, we successfully developed a novel injectable ROS-responsive hydrogel loaded with PDA NPs for synergistic antioxidative and anti-inflammatory neuroprotection. This intelligent hydrogel system enables ROS-triggered on-demand release of PDA NPs, efficiently scavenges excessive ROS, inhibits oxidative stress injury, modulates microglial polarization, and suppresses neuroinflammation, thereby exerting robust neuroprotective effects in vitro. This biomaterial platform provides a promising strategy for the targeted and controlled delivery of bioactive nanomaterials in the central nervous system diseases and establishes a solid experimental foundation for the development of in situ injectable therapies for ischemic brain injury.

OBJECTIVE To provide standardized guidance for the homogenization construction and management of pharmaceutical care in urban medical groups. METHODS This consensus was jointly initiated by the Therapeutic Drug Monitoring Professional Committee of the Chinese Pharmacological Society and the Expert Committee on Precision Clinical Medication of the Guangdong Pharmaceutical Association. Led by Guangzhou Red Cross Hospital， a drafting group of 7 members and an expert group of 36 members were organized. The outline of the Expert Consensus on Homogeneous Construction and Management of Pharmaceutical Care in Urban Medical Groups （hereinafter referred to as the “Consensus”） was discussed and finalized using the nominal group technique， and a preliminary draft was formed. The Delphi method was used for online c orrespondence review， and 12 external experts were invited for evaluation. After analyzing and revising expert opinions， the final Consensus was formed. RESULTS &CONCLUSIONS This Consensus defines the position setting and appointment procedures for the chief pharmacist， and establishes a three-tier professional guidance network of “chief pharmacist-regional/specialist pharmacist-pharmaceutical liaison of member institutions”. It formulates unified management standards for the drug supply catalog， establishes a full-process homogenization mechanism for prescription review， prescription commentation and comprehensive pharmaceutical care， and specifies the core functions and performance requirements of the prescription review system. It also supports by long-term mechanisms including cost allocation and performance assessment. This consensus can serve as a systematic reference for the homogeneous construction and management of pharmaceutical care systems in urban medical groups.

It is considered that "latent wind in stomach collaterals" is the core pathogenesis underlying the inflammation-caner transformation of helicobacter pylori-associated gastritis （HpAG）. The concept of "latent wind in stomach collaterals" integrates stomach wind theory， latent pathogen theory， and collateral disease theory， referring to wind pathogen deeply hidden in the stomach collaterals， characterized by both external and internal wind pathogen as well as latent pathogen that remain concealed and may be triggered under certain conditions. Accordingly， the Correa cascade is reclassified into four stages including the prodromal stage， progressive stage， transitional stage and carcinogenic stage. In the prodromal stage， the fundamental pathogenesis is described as "wind toxin invading externally with collateral deficiency and stirring of wind". In the progressive stage， wind is accompanied by qi constraint， fire pathogen， and dryness pathogen， manifesting as "wind pathogen complicated by constraint" "wind-fire agitation" and "wind-dryness interaction". In the transitional stage， "wind transforming into phlegm-drool and stomach collaterals being obstructed by stasis" is identified as a critical window for disease reversal. In the carcinogenesis stage， "wind-qi hyperactivity leading to pathological transformation， and collateral damage resulting in abdominal masses" drives tumor progression and metastasis. This paper proposes the treatment principle of "wind-dispelling throughout the entire process and stage-based treatment"， according to the pathological evolution of "collateral deficiency-collateral stagnation-collateral accumulation". In the prodromal stage， it is suggested to dispel wind and resolve toxin， fortify spleen and tonify collaterals； in the progressive and transitional stage， the method of dispelling wind pathogen， clearing phlegm and eliminating stasis should be used； in the carcinogenesis stage， it is suggested to expel wind and remove pathogens from collaterals， disperse concretions and eliminate tumors.