Lung cancer is the leading cause of cancer-related deaths worldwide， and tumor metastasis is a key factor contributing to the mortality of most lung cancer patients. Aberrant activation of epithelial-mesenchymal transition （EMT） is a major driver of lung cancer progression and metastasis. EMT is characterized by the loss of apical-basal polarity and intercellular adhesion in highly differentiated， polarized， and organized epithelial cells， which acquire motility， migratory potential， and invasive properties. During this process， cells undergo cytoskeletal remodeling and transform into a mesenchymal phenotype， accompanied by associated changes in cellular markers. The EMT process is highly complex and is tightly regulated by intricate networks involving multiple transcription factors， post-translational controls， epigenetic modifications， and non-coding RNAs. Therefore， therapies targeting the mechanisms of malignant transformation and their associated pathways in lung cancer are of significant clinical importance. In recent years， EMT has attracted increasing attention as a potential target for cancer therapy. Chinese medicine， with its characteristics of multi-target action， low side effects， and good therapeutic efficacy， has demonstrated an important role in anticancer treatment. A series of studies have investigated the role of Chinese medicine in inhibiting EMT in lung cancer. Active ingredients of Chinese medicine， including flavonoids， glycosides， phenols， terpenoids， saccharides， and alkaloids， as well as Chinese medicine compound formulas， have shown significant regulatory effects on EMT. Their mechanisms mainly involve multiple pathways， targets， and links， including signaling pathways， exosomes， microRNAs （miRNAs）， and the tumor-associated immune microenvironment. This article summarizes the mechanisms by which EMT promotes malignant tumor progression and reviews the current research on how Chinese medicine active ingredients， monomers， and compound formulas inhibit EMT and suppress lung cancer cell migration and invasion. This study is expected to provide comprehensive theoretical information for basic and translational research on lung cancer.

ObjectiveTo explore the feasibility of constructing a programmed death receptor-1（PD-1） molecular probe for non-invasive micro-positron emission tomography/computed tomography （Micro-PET/CT） imaging of PD-1 protein in mouse S180 sarcoma. MethodsA transgenic PD-1 C57 S180 sarcoma mouse model was established using the S180 sarcoma cell injection. Furthermore， ¹²⁴I-anti-PD-1 monoclonal antibody probe was synthesized. 18.5 MBq of the ¹²⁴I-anti-PD-1 probe was injected into the tail vein of transgenic PD-1 C57 mice. Subsequently， S180 sarcoma was imaged using Micro-PET/CT. ResultsStudy successfully established a transgenic PD-1 C57 S180 sarcoma mouse model. Immunohistochemical （IHC） results showed PD-1 protein expression in S180 sarcoma. Micro-PET/CT imaging successfully visualized the PD-1 protein receptor in S180 sarcoma at different time points （20， 48， 72， and 120 h） after probe injection. ConclusionThe ¹²⁴I-anti-PD-1 monoclonal antibody molecular probe successfully targets the PD-1 receptor in S180 sarcoma of transgenic PD-1 C57 mice， and presents clear Micro-PET/CT immunoassay results， thus it potentially enables the non-invasive screening of patients with PD-1 positive malignant tumors.

Background/Aims: Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood. Methods: Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort. Results: Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models. Conclusions Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.

ObjectiveTo observe the clinical efficacy of electroacupuncture in treatment of simple obesity patients and its effects on the metabolism-inflammation network. MethodsSeventy-two patients with simple obesity were randomly divided into a electroacupuncture group and a sham electroacupuncture group， with 36 patients in each group. In the electroacupuncture group， conventional acupuncture was applied at Zhongwan （CV 12）， bilateral Tianshu （ST 25）， bilateral Daheng （SP15）， Qihai （CV 6）， Guanyuan （CV 4）， bilateral Zusanli （ST 36） and Fenglong （ST 40）. The sham electroacupuncture group used placebo needle at same acupoints as the electroacupuncture group. Both groups were given sparse-dense waves with a frequency of 2/10 Hz， 30 minutes per session， 3 times a week， for a total of 8 weeks of treatment. The changes of human body parameters including body weight， body mass index （BMI）， waist circumference， and body fat percentage （BFP）， metabolic factors including serum fasting blood glucose （FBG）， triglyceride （TG）， total cholesterol （TC）， high density lipoprotein （HDL）， low density lipoprotein （LDL）， leptin， and ghrelin， and inflammatory factors including interleukin-6 （IL-6） and tumor necrosis factor α （TNF-α） were compared before and after treatment. Correlations between changes in leptin， ghrelin and inflammatory factors were further analyzed. ResultsWaist circumference was significantly reduced after treatment in both groups compared with baseline （P＜0.05）， and the post-treatment waist circumference was lower in the electroacupuncture group than in the sham electroacupuncture group （P＜0.05）； body weight， BMI and BFP decreased significantly after treatment compared to pretreatment levels in the electroacupuncture group （P＜0.05）. Serum leptin， IL-6 and TNF-α declined significantly after treatment in both groups versus baseline （P＜0.05）； the electroacupuncture group had lower post-treatment levels of leptin， IL-6 and TNF-α as well as larger pre-post changes than the sham group （P＜0.05）； ghrelin increased markedly after treatment in both groups （P＜0.05）， with higher post-treatment ghrelin and greater pre-post variation observed in the electroacupuncture group （P＜0.05）. In the electroacupuncture group， changes in ghrelin were negatively correlated with IL-6 and positively correlated with TNF-α （P＜0.01）； in the sham electroacupuncture group， ghrelin changes were negatively correlated with both IL-6 and TNF-α， whereas leptin changes were positively correlated with the two inflammatory markers （P＜0.01）. ConclusionElectroacupuncture can effectively improve clinical manifestations， as well as regulate serum metabolic and pro-inflammatory factors in patients with simple obesity， and discrepant correlation patterns of metabolism-inflammation are observed between the two groups.

Objective To evaluate the efficacy and safety of different surgical approaches for extracting high-positioned supernumerary teeth in the maxillary anterior midline region.Three surgical methods,the labial approach,the palatal approach,and a longitudinal incision beside the upper lip frenum were compared.Methods A total of 102 patients were recruited from the Department of Oral and Maxillofacial Surgery at the Affiliated Stomatological Hospital of Anhui Medical University between January and September 2024.They were randomly assigned via a random-digit table to three groups:the labial approach group(n=32),the palatal approach group(n=34),and the longitudinal incision beside the upper lip frenum group(n=36).Operation time,bone removal volume,post-operative midfacial swelling,degree of pain,and patient satisfaction across the three groups were recorded and compared.Results The average operation time in the labial approach group((20.50±3.02)min)and the longitudinal incision group((21.66±2.31)min)were both significantly shorter than that in the palatal approach group((29.19±3.40)min).In contrast,the palatal approach group demonstrated markedly lower postoperative swelling and pain scores(P＜0.05),along with the highest patient satisfaction,as reflected in the OHIP-14 scale.However,the palatal approach required the greatest bone removal volume,measuring(91.19±9.86)mm3.Conclusion Despite the palatal approach yielding superior outcomes in terms of postoperative pain control,swelling reduction,and patient satisfaction,it necessitated longer operation time and involved greater bone removal.Meanwhile,the labial approach and the longitudinal incision beside the upper lip frenum were comparable in all measured parameters,showing no statistically significant differences.Therefore,when extracting high midline impacted teeth in the maxillary anterior region,the choice of surgical approach should balance safety,minimal invasiveness,and patient satisfaction.

Objective:To analyze the effect of joint management of type 2 diabetes mellitus (T2DM) between specialty and community under the model of National Diabetes Prevention and Control Center (DPCC).Methods:A total of 2 527 T2DM patients managed by DPCC Pingshan Center of Shenzhen from January 1, 2022 to December 31, 2024 were retrospectively included. After management, the rate of downturn, reexamination rate, blood pressure compliance rate, metabolic indicators (waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, blood lipids) and screening rate of chronic complications of diabetes (atherosclerotic cardiovascular disease, microvascular disease, diabetic peripheral neuropathy) were analyzed. Those included 2022 ( n=564), 2023 ( n=1 477), and 2024 ( n=2 527). Results:The downturn rate in 2022, 2023 and 2024 increased year by year (22.8% vs 67.2% vs 89.9%, P<0.01), and the review rate (41.1% vs 62.2% vs 52.7%, P<0.01), complication screening rate (51.6% vs 85.3% vs 62.2%, P<0.01), blood pressure compliance rate (53.1% vs 78.0% vs 67.2%, P<0.01), body mass index compliance rate (13.2% vs 17.3% vs 28.6%, P<0.01), fasting blood glucose meeting rate (46.4% vs 60.2% vs 68.5%, P<0.01), glycated hemoglobin meeting rate (58.4% vs 63.2% vs 45.6%, P<0.01) were relatively improved. Waist circumference compliance rate (30.6% vs 27.7% vs 21.6%) and blood lipid compliance rate (33.6% vs 35.5% vs 31.9%) were not significantly improved, and the review rate, blood pressure compliance rate and complication screening rate in 2024 were lower than those in 2023 and higher than those in 2022. Conclusions:The combined management of type 2 diabetes under the DPCC model has significant effects on improving the down-conversion rate, rediagnosis rate, blood pressure compliance rate, metabolic index compliance rate and the screening rate of diabetes-related chronic complications in patients with diabetes. At the same time, it was also found that with the progress of hierarchical diagnosis and treatment, the review rate, complication screening rate, blood pressure, waist circumference, blood lipid and glycosylated hemoglobin reached the standard of patients decreased compared with the previous situation, which needs to be further analyzed and improved.

Objective:To study the spatial distribution and characteristics of iodine content in residential drinking water in Shaanxi Province, and provide a basis for scientific prevention and control of iodine deficiency disorders.Methods:From March to October 2022, an investigation was conducted in all counties (districts, referred to as counties) of Shaanxi Province, with administrative villages as survey units. For centralized water supply systems, two terminal water samples were collected, and iodine content was measured separately, with the average value representing the drinking water iodine content at that location. For decentralized water supply systems, a 10% sampling method was used to divide each administrative village into five areas (east, south, west, north, and center), with 10% of water wells sampled from each area (if fewer than 10 water wells, the well with the largest drinking population was selected; if fewer than 5 wells, all wells were sampled). One water sample was collected from each water well, and iodine content was determined using the arsenic-cerium catalytic spectrophotometry method. Spatial autocorrelation and spatial scan analysis were used to analyze the spatial distribution and characteristics of drinking water iodine content.Results:A total of 53 990 drinking water samples were collected, with a median water iodine content of 6.66 μg/L, ranging from 0.10 to 779.40 μg/L. Drinking water iodine content was detected in 112 counties, showing a significant spatial positive correlation (global autocorrelation, Moran's I = 0.74, Z = 43.83, P < 0.001). Local autocorrelation analysis showed that the difference in the distribution of iodine content in drinking water among 36 counties was statistically significant ( P < 0.05), with 22 counties showing low-low clustering and 12 counties showing high-high clustering. Spatial scanning identified three water iodine clustering areas, including two high-water iodine cluster areas and one low-water iodine cluster area. Conclusions:The distribution of iodine content in residential drinking water in Shaanxi Province shows significant spatial clustering and heterogeneity, requiring targeted interventions to achieve precise prevention and control of iodine deficiency disorders.

Objective To investigate iodine content in drinking water and clarify the distribution characteristics of iodine in water in Shaanxi Province.Methods A cross-sectional survey method was used to collect water samples from administrative villages in the province.Two tap water samples were taken from the centralized water supply villages,and 10％samples were taken from the decentralized water supply villages.Water iodine was detected by arsenic cerium catalytic spectrophotometry.Water iodine areas were divided according to national standards:＜40 μg/L was iodine deficiency area,40-100 μg/L was iodine adequate area,＞100 μg/L was high iodine area.According to the ecological regionification scheme of the Chinese Academy of Sciences,Shaanxi Province was divided into three types:the central and eastern Inner Mongolia Platea-Loess Plateau ecological region,the Fenwei Basin ecological region,and the Qinba Mountains ecological region.SPSS 25.0 was used for statistical analysis.Results The median of water iodine in Shaanxi Province was 6.66 μg/L.The survey of water iodine content was conducted in 22 848 administrative villages,1 309 townships,112 counties and 14 municipalities in the whole province.The median water iodine was less than 40 μg/L in 91.75％(20 963/22 848)of the administrative villages,between 40 and 100 μg/L in 7.40％(1 691/22 848)of the administrative villages,and more than 100 μg/L in 0.85％(194/22 848)of the administrative villages.The median of water iodine in the central and eastern Inner Mongolia Platea-Lose Plateau ecological zone,the Fenwei Basin ecological zone,and Qinba Mountains ecological zone was 12.35,8.88,and 2.00 μg/L,respectively,and the differences among different ecological zones were statistically significant(H=6 616.23,P＜0.001).The median of water iodine of centralized and decentralized water supply was 6.72 and 6.21 μg/L,respectively,and differences between different water supply methods were statistically significant(Z=5.638,P＜0.01).Conclusion The overall external environment of Shaanxi Province is iodine deficient,and most of the administrative villages are iodine deficient areas.There are a certain proportion of high iodine water source areas and suitable iodine areas.

Objective To investigate the relationship between pre-treatment collateral circulation and long-term clinical outcomes in patients with acute vertebrobasilar artery occlusion(VBAO)undergoing endovascular treatment(EVT).Methods A retrospective analysis was conducted on 129 VBAO patients who underwent EVT.Patients were categorized into short-term(90 d)and long-term(1 year)outcome groups based on follow-up duration.Clinical data were collected,and the posterior circulation collateral score(PC-CS)based on magnetic resonance angiography(MRA)was evaluated.Inter-rater reliability of the MRA PC-CS was evaluated using Cohen's Kappa coefficient.The predictive value of MRA PC-CS for outcomes was analyzed using receiver operating characteristic(ROC)curves.Multivariate logistic regression analysis was employed to identify independent predictors of long-term outcomes.Results A total of 109 patients were included in the long-term follow-up,with 78 survivors and 31 deaths.The MRA PC-CS demonstrated high diagnostic efficacy for predicting long-term outcomes,with an area under the curve(AUC)of 0.85[95%confidence interval(CI)0.78-0.92,P＜0.000 1],with an optimal cutoff value of 5 points.Multivariate logistic regression analysis revealed that age[odds ratio(OR)1.07,95%CI 1.02-1.13,P=0.005],admission National Institutes of Health Stroke Scale(NIHSS)score(OR 1.08,95%CI 1.02-1.14,P=0.01),occipital lobe infarction(OR 3.96,95%CI 1.25-12.56,P=0.02),and MRA PC-CS≤5 points(OR 0.23,95%CI 0.06-0.84,P=0.03)were independent predictors of long-term outcomes.Conclusion The MRA PC-CS can independently predict adverse long-term functional outcomes in VBAO patients.

Chronic disease patients often experience negative emotions such as anxiety and depression,and the accurate assessment of these emotions is crucial for developing effective care plans and interventions.Traditional assessments of negative emotions are limited by subjectivity,error and accessibility issues,making precise identification and evaluation difficult.In recent years,vision technology has demonstrated unique advantages in emotion recognition due to its accuracy,speed,consistency,objectivity nature.This paper reviews the development process of computer vision technology,the content and effects of its application in negative emotion assessment for chronic disease patients,and the current challenges,in order to provide references for the evaluation of chronic disease patients'negative emotions.