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 gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Artificial intelligence(AI)is accelerating the digital transformation of the healthcare service system,with policy systems playing an increasingly prominent role in guiding technological innovation and governance reform.However,there is still a lack of systematic theoretical explanation for how AI technologies achieve deep integration under the collaborative effect of diverse policy objectives and policy tools.Drawing on national-level AI healthcare policy texts in China from 2015 to 2025,this study proposes an analytical framework of"policy goals-policy instruments-embedding pathways".It systematically reveals the staged evolution and underlying mechanisms of AI technology integration in healthcare.The findings show:first,China's AI healthcare policy system has progressed from strategic guidance and scenario-driven development to regulatory governance,demonstrating a dynamic adaptability to the integration of complex technologies;second,a dynamic coupling mechanism has formed between policy goals and instruments,achieving a coordinated balance among technological innovation,risk governance,and social value;third,the embedding pathway has evolved from exogenous,relationship-based integration to endogenous,structure-based integration,characterized by a progressive mechanism of"institutional empowerment-structural coupling-regulatory internalization".This research deepens the theoretical understanding of adaptive governance and institutional transformation for complex technologies,offering theoretical insights and practical references for optimizing AI healthcare policies and enhancing digital governance capacity.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Artificial intelligence(AI)is accelerating the digital transformation of the healthcare service system,with policy systems playing an increasingly prominent role in guiding technological innovation and governance reform.However,there is still a lack of systematic theoretical explanation for how AI technologies achieve deep integration under the collaborative effect of diverse policy objectives and policy tools.Drawing on national-level AI healthcare policy texts in China from 2015 to 2025,this study proposes an analytical framework of"policy goals-policy instruments-embedding pathways".It systematically reveals the staged evolution and underlying mechanisms of AI technology integration in healthcare.The findings show:first,China's AI healthcare policy system has progressed from strategic guidance and scenario-driven development to regulatory governance,demonstrating a dynamic adaptability to the integration of complex technologies;second,a dynamic coupling mechanism has formed between policy goals and instruments,achieving a coordinated balance among technological innovation,risk governance,and social value;third,the embedding pathway has evolved from exogenous,relationship-based integration to endogenous,structure-based integration,characterized by a progressive mechanism of"institutional empowerment-structural coupling-regulatory internalization".This research deepens the theoretical understanding of adaptive governance and institutional transformation for complex technologies,offering theoretical insights and practical references for optimizing AI healthcare policies and enhancing digital governance capacity.

Objective:To investigate the effect of mast cell-derived chemokine C-C motif ligand 5 (CCL5) on the migration of CD8 + T cells from vitiligo patients under oxidative stress conditions. Methods:From January 2017 to January 2023, 10 patients with progressive segmental vitiligo, 10 patients with non-segmental vitiligo, and 10 healthy individuals were collected from the Department of Dermatology, Xijing Hospital. Skin tissue samples were obtained from the lesions of vitiligo patients and from the normal skin of healthy individuals, with sampling sites including the face, neck, and upper extremities, and toluidine blue staining was performed to analyze the characteristics of mast cells infiltrating the skin lesions. The effect of H 2O 2 treatment on mast cells was investigated in Transwell chambers. Peripheral blood mononuclear cells (PBMCs) from vitiligo patients were added to the upper chamber, while the human mast cell line LAD2 was added to the lower chamber and divided into 4 groups to receive different treatments: untreated group receiving no special treatment, H 2O 2 group pretreated with H 2O 2, H 2O 2 + neutralization antibody group pretreated with H 2O 2 followed by the treatment with CCL5/RANTES-neutralizing antibodies, and H 2O 2 + PF group pretreated with H 2O 2 followed by the treatment with a Janus kinase 3/non-receptor protein tyrosine kinase selective inhibitor PF-06651600. After 6 hours of co-incubation, cell suspensions were collected from the lower chamber. The number of CD8 + T cells was counted using flow cytometry, and the CCL5 level in the cell culture supernatant was detected using enzyme-linked immunosorbent assay. One-way analysis of variance was used to analyze differences among groups, and least significant difference- t test was used for multiple comparisons. Pearson correlation analysis was performed for correlation analysis. Results:In the 200 × magnification field, the numbers of infiltrating mast cells significantly differed among segmental vitiligo lesions, non-segmental vitiligo lesions, and normal skin tissues (15.7 ± 3.3, 20.9 ± 3.9, 7.2 ± 2.9, respectively; F = 8.07, P = 0.002) ; additionally, the number of infiltrating mast cells was significantly higher in the segmental or non-segmental vitiligo lesions than in the normal skin tissues (LSD- t = 3.50, 5.70, P = 0.047, 0.001, respectively), but there was no significant difference between the segmental and non-segmental vitiligo lesions (LSD- t = 2.20, P = 0.293). A significant positive correlation was observed between the number of infiltrating mast cells and that of CD8 + T cells in the vitiligo lesions ( r = 0.82, P = 0.004). The numbers of CD8 + T cells and CCL5 levels significantly differed among the untreated group, H 2O 2 group, H 2O 2 + neutralization antibody group, and H 2O 2 + PF group (CD8 + T cells: 197.0 ± 45.9, 580.4 ± 62.6, 296.0 ± 43.2, 398.6 ± 62.8, respectively; CCL5: 2.2 ± 0.6 pg/ml, 9.9 ± 1.3 pg/ml, 3.4 ± 0.4 pg/ml, 6.33 ± 0.7 pg/ml, respectively; F = 11.03, 17.77, respectively, both P < 0.001) ; additionally, the H 2O 2 group showed significantly increased numbers of CD8 + T cells and CCL5 levels compared with the untreated group, H 2O 2 + neutralization antibody group, and H 2O 2 + PF group (all P < 0.05) . Conclusion:Mast cells may be involved in the pathogenesis of vitiligo under oxidative stress, and mast cell-derived CCL5 appears to contribute to the occurrence and development of vitiligo by affecting CD8 + T cell migration.

Objective:To observe the effects of adipose-derived stem cells(ADSC)combined with acellular scaffold(AS)on the ultrastructure of dorsal root ganglion and the protein and mRNA expression levels of ciliary neurotrophic factor(CNTF),Janus kinase 2(JAK2),phosphorylated JAK2(p-JAK2),signal transducer and activator of transcription 3(STAT3)and phosphorylated STAT3(p-STAT3)in the rats with sciatic nerve injury(SNI),and to clarify the protective effect of ADSC combined with AS on dorsal root ganglion in the SNI rats and its possible mechanism.Methods:The rat ADSCs were isolated and cultured and their multidirectional differentiation potential was detected.The AS of rats was prepared,and ADSCs were injected into the AS to construct tissue-engineered nerve.A total of 36 rats were randomly divided into control group,model group,AS group,and ADSC+AS group.The rats in control group were routinely fed,and the rats in other groups were used to establish the SNI models by resecting 10 mm of right sciatic nerve.The rats in model group received no further treatment,while the rats in AS group and ADSC+AS group were bridged with AS and the constructed tissue-engineered nerve at the two ends of the injured nerve,respectively.At 6 weeks after surgery,transmission electron microscope was used to observe the ultrastructure of dorsal root ganglion of the rats in various groups;immunofluorescence method was used to detect the protein expression levels of CNTF,p-JAK2,and p-STAT3 in dorsal root ganglion of the rats;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the mRNA expression levels of CNTF,JAK2,and STAT3 in dorsal root ganglion of the rats in various groups.Results:After 7 d of primary ADSC culture,a large number of large and long spindle-shaped cells were observed under the inverted microscope,arranged in clusters or whirlpools;red lipid droplets were observed with oil red O staining under microscope,and calcified nodules were observed with Alizarin red staining under microscope,indicating that the isolated and cultured cells had multidirectional differentiation ability.Compared with normal nerve tissue,the level of DNA in AS of rats was significantly decreased(P<0.05).Compared with control group,the nuclear membrane of dorsal root ganglion cells in model group was uneven and serrated,the number of organelles in the cytoplasm was decreased,mitochondria were swollen with broken or missing cristae and unclear structure;the CNTF protein and mRNA expression levels were significantly decreased(P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly increased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly increased(P<0.01).Compared with model group,the serrated change of nuclear membrane of the dorsal root ganglion cells in AS group was significantly alleviated,the number of organelles in the cytoplasm was increased,and mitochondrial swelling was reduced;in ADSC+AS group,the nuclear membrane of dorsal root ganglion cells tended to be intact,the number of organelles was increased,and mitochondrial swelling and vacuolization were significantly reduced;the CNTF protein and mRNA expression levels in the dorsal root ganglion in AS group and ADSC+AS group were significantly increased(P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly decreased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly decreased(P<0.01).Compared with AS group,the CNTF protein and mRNA expression levels in ADSC+AS group were significantly increased(P<0.05 or P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly decreased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly decreased(P<0.01).Conclusion:The application of ADSC combined with AS can improve the ultrastructure of dorsal root ganglion in the SNI rats,and the mechanism may be related to the increased CNTF expression and decreased activation of the JAK2/STAT3 signaling pathway in the dorsal root ganglion by ADSC combined with AS application.

Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*