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 glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective To explore the role of SLIT-ROBO Rho GTPase-activating protein 2(srGAP2)in spinal motor neuron degeneration in amyotrophic lateral sclerosis(ALS).Methods Applied bioinformatics analysis to investigate the expression changes of srGAP2 in the spinal cord of human superoxide dismutase 1(hSOD1)mutant ALS transgenic mice.hSOD1 G93A mutant ALS transgenic mice were selected for animal experimental validation,with littermate wild type(WT)mice serving as the control group.A total of 36 pairs were divided into four groups,namely the pre-onset stage,early-onset stage,mid-onset stage,and late-onset stage.The expression changes and cellular localization of srGAP2 in the spinal cord of ALS mice were detected by Real-time PCR,Western blotting and immunofluorescent double-label staining.The hSOD1G93A mutant NSC34 motor neuron-like cell model was established,and in vitro experiments were carried out to detect the changes in srGAP2 expression,and the effects of srGAP2 over-expression on the viability of hSOD1G93A mutant NSC34 cells and the growth of cell protrusions.Results Bioinformatics analysis revealed abnormally low expression of srGAP2 in the spinal cord of hSOD1 mutant ALS mice.Animal experiments verified that compared with the WT mice,the expression of srGAP2 was reduced at both mRNA level and protein level in the spinal cord of hSOD1G93A mutant ALS transgenic mice at early-onset,mid-onset and late-onset stages.Compared with the WT mice,srGAP2 integral absorbance(IA)values in srGAP2+/NeuN+double-positive cells in the anterior horn of the spinal cord of hSOD1G93A mutant ALS transgenic mice were lower,srGAP2 IA values in srGAP2+/GFAP+double-positive cells were higher;Compared with the hSOD1WT NSC34 cells,the expression of srGAP2 was reduced at both mRNA level and protein level in hSOD1G93A mutant NSC34 cells.Over-expression of srGAP2 elevated the viability of hSOD1G93A mutant NSC34 cells,and up-regulated the expression level of synapse-related protein β Ⅲ-tubulin and growth associated protein 43(GAP43).Conclusion Low expression of srGAP2 is closely associated with the progression of ALS,while over-expression of srGAP2 can promote outgrowth of cell protrusions and exert a protective effect on spinal motor neurons in ALS.

This study analyzed the practical experience of the World Health Organization,the European Union,the United States,and Japan,to reveal the characteristics of health emergency drills in terms of institutional construction,technological integration,and international collaboration.The health emergency drills present three major development trends:paradigm shift driven by social demand,efficiency improvement empowered by intelligent technology,and deepening international cooperation under the global governance framework.In response to the construction needs of China's public health emergency system,policy recommendations were proposed to establish a hierarchical classification system,a full-cycle training strategy for major infectious diseases,a dual wheel drive mechanism by both techniques and qualified personnel,and a path for global governance participation.

Objective: To construct a Family with sequence similarity 50 member A(FAM50A) gene knockout mouse insulinoma pancreatic β-cell line Beta-TC-6 using CRISPR/Cas9 gene editing technology and to prepare polyclonal antibodies specifically recognizing FAM50A. Methods: Two guide RNAs(sgRNAs) targeting the FAM50A gene were designed,and a recombinant plasmid expressing blue fluorescent protein(BFP) was constructed for gene knockout.The successfully constructed plasmid was transfected into Beta-TC-6 cells,and BFP-positive single cells were isolated for clonal expansion.The expanded monoclonal cell lines were genotyped by Sanger sequencing,and FAM50A protein expression was assessed by Western blot.Purified human recombinant FAM50A protein was used to immunize New Zealand rabbits for the preparation of a polyclonal antibody.The specificity of the prepared antibody was then validated using the successfully established FAM50A knockout cell line. Results: A monoclonal cell line with a successful knockout of the FAM50A gene was identified.Sanger sequencing confirmed base deletions at the target site.Western blot analysis showed a complete absence of FAM50A protein expression in this cell line.The prepared polyclonal antibody successfully recognized endogenous murine FAM50A protein in wild-type Beta-TC-6 cells and in hTERT-RPE1 cells overexpressing human FAM50A-GFP fusion protein,while no signal was detected in the FAM50A knockout cells. Conclusion This study successfully established a FAM50A gene knockout Beta-TC-6 cell model and generated a FAM50A polyclonal antibody,providing powerful tools for future research.

The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

Gastric cancer (GC) is characterized by high morbidity and mortality rates. Chinese agarwood comprises the resin-containing wood of Aquilaria sinensis (Lour.) Gilg., traditionally utilized for treating asthma, cardiac ischemia, and tumors. However, comprehensive research regarding its anti-GC effects and underlying mechanisms remains limited. In this study, Chinese agarwood petroleum ether extract (CAPEE) demonstrated potent cytotoxicity against human GC cells, with half maximal inhibitory concentration (IC₅₀) values for AGS, HGC27, and MGC803 cells of 2.89, 2.46, and 2.37 μg·mL^-1, respectively, at 48 h. CAPEE significantly induced apoptosis in these GC cells, with B-cell lymphoma-2 (BCL-2) associated X protein (BAX)/BCL-2 antagonist killer 1 (BAK) likely mediating CAPEE-induced apoptosis. Furthermore, CAPEE induced G₀/G₁ phase cell cycle arrest in human GC cells via activation of the deoxyribonucleic acid (DNA) damage-p21-cyclin D1/cyclin-dependent kinase 4 (CDK4) signaling axis, and increased Fe²⁺, lipid peroxides and reactive oxygen species (ROS) levels, thereby inducing ferroptosis. Ribonucleic acid (RNA) sequencing, real-time quantitative polymerase chain reaction (RT-qPCR), and Western blotting analyses revealed CAPEE-mediated upregulation of heme oxygenase-1 (HO-1) in human GC cells. RNA interference studies demonstrated that HO-1 knockdown reduced CAPEE sensitivity and inhibited CAPEE-induced ferroptosis in human GC cells. Additionally, CAPEE administration exhibited robust in vivo anti-GC activity without significant toxicity in nude mice while inhibiting tumor cell growth and promoting apoptosis in tumor tissues. These findings indicate that CAPEE suppresses human GC cell growth through upregulation of the DNA damage-p21-cyclin D1/CDK4 signaling axis and HO-1-mediated ferroptosis, suggesting its potential as a candidate drug for GC treatment.
Animals ; Humans ; Mice ; Antineoplastic Agents, Phytogenic ; Apoptosis/drug effects* ; Cell Line, Tumor ; Cyclin D1/genetics* ; Cyclin-Dependent Kinase 4/genetics* ; DNA Damage/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Ferroptosis/drug effects* ; G1 Phase Cell Cycle Checkpoints/drug effects* ; Heme Oxygenase-1/genetics* ; Mice, Inbred BALB C ; Mice, Nude ; Plant Extracts/pharmacology* ; Stomach Neoplasms/physiopathology* ; Thymelaeaceae/chemistry* ; Up-Regulation/drug effects*

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

ObjectiveTo evaluate the clinical effectiveness and safety of Modified Zhigancao Granules （炙甘草汤加味颗粒） for preventing the early recurrence following radiofrequency ablation in patients with atrial fibrillation （AF） of qi-yin deficiency syndrome. MethodsA multi-center， randomized， double-blind， placebo-controlled trial was designed. A total of 116 patients with atrial fibrillation of qi-yin deficiency syndrome who underwent radiofrequency ablation for the first time were enrolled from 3 centers， and they were randomly divided into a treatment group （59 cases） and a control group （57 cases）. Both groups received basic western medicine treatment after surgery. In addition， the treatment group was given oral Modified Zhigancao Granules， while the control group was given oral placebo granules. The dosage for both groups was 20 g each time， twice a day， with continuous treatment for 12 weeks. The recurrence of atrial fibrillation in both groups was recorded at 24 hours， 4 weeks， 8 weeks， and 12 weeks after surgery. The serum levels of B-type natriuretic peptide （BNP）， interleukin-6 （IL-6）， high-sensitivity C-reactive protein （hs-CRP）， and tumor necrosis factor-α （TNF-α） were detected before treatment and 12 weeks after treatment in both groups. The scores of Atrial Fibrillation Effect on QualiTy-of-life （AFEQT） Questionnaire （including scores of the daily life dimension， symptom dimension， treatment worry dimension， treatment satisfaction dimension， and total score） and traditional Chinese medicine （TCM） syndrome scores were compared before treatment and at 4 weeks， 8 weeks， and 12 weeks between groups. Safety indicators such as blood routine， urine routine， liver function， and renal function were monitored before and after treatment. ResultsNine of the treatment group and seven of the control group dropped out. Finally， 50 patients in each group were included in the statistical analysis. At 24 hours， 4 weeks， 8 weeks， and 12 weeks after surgery， the recurrence rates of AF in the treatment group were 2.0% （1/50）， 2.0% （1/50）， 4.0% （2/50）， and 10.0% （5/50）， respectively； while those in the control group were 2.0% （1/50）， 26.0% （13/50）， 28.0% （14/50）， and 34.0% （17/50）， respectively. Compared with the control group at the same time points， the early recurrence rates of AF in the treatment group were significantly lower at 4 weeks， 8 weeks， and 12 weeks after surgery （P＜0.01）. Compared with the baseline within group， BNP， hs-CRP， IL-6， and TNF-α in the treatment group all decreased after 12 weeks of treatment （P＜0.05）； the difference in hs-CRP levels （before vs. after treatment） in the treatment group was higher than that in the control group （P＜0.01）. Compared with the baseline within group， both groups showed decreases in the total score of AFEQT Questionnaire， scores of the daily life dimension， treatment worry dimension， symptom dimension， and TCM syndrome scores at 4 weeks， 8 weeks， and 12 weeks after treatment. Meanwhile， the score of the treatment satisfaction dimension of AFEQT increased in both groups （P＜0.01）， and the improvements in all the above scores in the treatment group were superior to those in the control group at all time points （P＜0.05 or P＜0.01）. All safety indicators of patients in both groups were within the normal range before treatment and at 12 weeks after treatment， and no adverse reactions or adverse events occurred in either group. ConclusionModified Zhigancao Granules can reduce the early recurrence rate following radiofrequency ablation in AF patients with qi-yin deficiency syndrome， improve clinical symptoms and quality of life， suppress inflammatory response， and show good safety.