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 elucidate the effects of autonomic neuromodulators [calcium chloride (CaCl₂)-acetylcholine (ACh)] on atrial electrical remodeling and histopathological changes in rats, thereby providing evidence for further investigation into the pathological mechanisms by which autonomic imbalance induces atrial fibrillation (AF). MethodsTen 8-week-old male Sprague-Dawley (SD) rats were randomly divided into experimental and control groups, with 5 rats in each group. The experimental group received daily tail vein injections of a CaCl₂-ACh mixed solution for 28 days, while the control group received an equal volume of saline. Surface electrocardiograms were recorded before and after daily administration. On day 28 of administration, under isoflurane inhalation anesthesia, echocardiography was performed, and then the rats were euthanized by exsanguination under isoflurane anesthesia for tissue collection. Body weight and heart weight of rats were measured, and electrophysiological parameters including AF inducibility, conduction velocity, and conduction dispersion in isolated rat hearts were monitored using the MappingLab multichannel electrophysiological mapping system. HE staining was performed to evaluate atrial tissue architecture and inflammatory cell infiltration. The expression levels of matrix metalloproteinase 9 (MMP-9) and interleukin-1 beta (IL-1β) were analyzed by Western blotting. Masson staining was used to quantitatively analyze the proportional distribution of collagen fibers and myocardial fibers, and to calculate the area of collagen deposition, thereby evaluating the degree of myocardial fibrosis. Wheat germ agglutinin (WGA) staining was used to evaluate morphological changes of cardiomyocytes. Dihydroethidium (DHE) staining was used to detect the level of oxidative stress in atrial myocytes. Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining was used to detect atrial cell apoptosis. ResultsCompared with the control group, the experimental group showed obvious arrhythmias on electrocardiograms. Echocardiography after 28 days of administration revealed significant structural remodeling in the experimental group, with a marked increase in left atrial anteroposterior diameter (P < 0.05), and also showed cardiac dysfunction, with significant decreases in left ventricular ejection fraction and left ventricular fractional shortening (P < 0.01). Compared with the control group, the experimental group showed a significantly increased heart weight-to-body weight ratio (P < 0.05), a markedly higher AF inducibility (P < 0.001), a significantly slowed atrial conduction velocity (P < 0.05), an uneven isochronal map with irregular directions, and a significantly increased conduction dispersion (P < 0.01). HE staining showed that atrial myocytes in the experimental group were disorganized, with slight inflammatory cell infiltration. Western blotting showed that the expression levels of MMP-9 and IL-1β in the atrial tissue of the experimental group were significantly upregulated (P < 0.05). Masson staining showed a significant increase in collagen deposition and a significant increase in fibrosis area in the atrial tissue of the experimental group (P < 0.001). WGA staining showed that cardiomyocytes in the experimental group were significantly hypertrophied compared with the control group (P < 0.05). DHE staining and TUNEL staining revealed that the level of oxidative stress in atrial myocytes (P < 0.001) and the apoptotic rate (P < 0.01) were both significantly increased. Conclusion Daily tail vein injections of the autonomic neuromodulator CaCl₂-ACh mixed solution for 28 days can successfully induce AF in rats, accompanied by significant atrial structural remodeling, electrical remodeling, and oxidative stress.

ObjectiveTo compare female C57BL/6J and BALB/c mice models of ulcerative colitis (UC) induced by dextran sulfate sodium salt (DSS), providing a reference for selecting female animal models in studies of innovative drugs for UC treatment. MethodsA total of 48 female mice aged 6–8 weeks, including 24 C57BL/6J and 24 BALB/c mice, were divided into four groups: control group, UC-3d group (2.5% DSS drinking for 3 days), UC-7d group (2.5% DSS drinking for 7 days), and UC-withdrawal group (2.5% DSS drinking for 7 days followed by 3 days of pure water replacement), with 6 mice in each group. Body weight, fecal occult blood, and stool characteristics were recorded daily, and disease activity index (DAI) scores were calculated. At the end of DSS induction, mice were gavaged with fluorescein isothiocyanate (FITC)-labeled dextran solution before tissue collection. Four hours later, under deep anesthesia induced by inhalation of 4% isoflurane, blood samples were collected from the retro-orbital venous plexus, and euthanasia was performed by cervical dislocation. The colon was then separated immediately, and its length from the anus to the ileocecal junction was measured. Colon tissues were fixed, embedded, and sectioned, and they were evaluated using hematoxylin-eosin (HE) staining and alcian blue-periodic acid-Schiff (AB-PAS) staining to comprehensively assess the degree of colonic inflammation. The spleen was also collected and weighed, and the spleen coefficient was calculated. Serum FITC fluorescence intensity and D-lactic acid concentration were measured to evaluate intestinal permeability and barrier injury. The grooming duration, the number of buried marbles, the time spent in the center of the open field, and the total distance traveled were measured to evaluate anxiety/depression-like behaviors in mice. ResultsFecal occult blood appeared in both C57BL/6J and BALB/c mice after 3 days of ad libitum access to DSS. Compared with the control group, there was no significant change in the weight loss rate of female BALB/c mice in the UC-7d and UC-withdrawal groups (P > 0.05), but the DAI score increased (P < 0.01). Conversely, both the weight loss rate and DAI score increased for female C57BL/6J mice in the UC-7d and UC-withdrawal groups (P < 0.01). In female C57BL/6J mice, both the UC-7d and UC-withdrawal groups had higher spleen coefficients than the control group (P < 0.05). Additionally, in these groups, colon length was significantly reduced (P < 0.01), FITC fluorescence intensity in serum was markedly increased (P < 0.01), obvious inflammatory reaction areas appeared in the colon, and the goblet cells and acidic mucus layer were damaged. In contrast, in female BALB/c mice, no significant differences were observed in colon length, serum FITC fluorescence intensity, or D-lactic acid concentration between the UC-7d and UC-withdrawal groups compared with the control group (P > 0.05). Only a few inflammatory cells and damaged goblet cells were observed in the colonic mucosal layer, and no other obvious pathological changes were detected. In addition, female C57BL/6J mice in the UC-7d group showed a significantly reduced total distance in the open field and fewer buried marbles (P < 0.05), indicating depression-like behavior, as well as prolonged grooming duration (P < 0.05), indicating anxiety-like behavior. ConclusionFemale BALB/c mice are not sensitive to 2.5% DSS and do not show typical colonic pathological changes of UC. In contrast, ad libitum access to 2.5% DSS for 7 days successfully induces typical UC pathological symptoms and colonic pathological changes in female C57BL/6J mice. These changes persist for 3 days after DSS withdrawal, and the mice also exhibit symptoms of anxiety/depression. The results suggest that this model can be used for research on the pathogenesis and therapeutic drugs of UC.

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.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

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.