BACKGROUND:Nanocell vesicles possess functions such as re-epithelialization,antioxidation,anti-inflammation,and regulation of extracellular matrix remodeling.Meanwhile,apoptotic bodies have the immunomodulatory effects.Therefore,the combination of the two to form nanofusion vesicles can synergistically promote the healing of diabetic skin wounds.OBJECTIVE:To elucidate the impact of nanofusion vesicles on skin wound healing in a diabetic murine model.METHODS:(1)Material preparation and characterization:The primary bone marrow mesenchymal stem cells of C57BL/6J neonatal mice and the neutrophil apoptotic bodies of C57BL/6J mice were isolated and extracted.The nanofusion vesicles were prepared by micro-extrusion mechanism.(2)In vitro experiment:MTT assay was used to detect the proliferative effect of different concentrations of nanofusion vesicles on NIH-3T3 cells and human umbilical vein endothelial cells.Reactive oxygen species fluorescence probe was used to detect the antioxidant effect of nano-fusion vesicles on NIH-3T3 cells treated with hydrogen peroxide(H2O2).The inhibitory effect of nanofusion vesicles on RAW 264.7 macrophage inflammation induced by lipopolyside was detected by real-time quantitative RT-qPCR.(3)In vivo experiment:36 male C57BL/6J mice were employed to develop a murine model of diabetes mellitus.Following the successful induction of diabetes,two circular full-thickness wounds,each with a diameter of 6 mm,were created on either side of the diabetic mice's spine using a skin punch.The mice were divided into three groups by random number table method.The control group was injected with 0.1 mL of phosphate buffer solution.The nanovesicle group was injected with 0.1 mL nanovesicles(25 μg/mL).The nanofusion vesicle group was injected with 0.1 mL nanofusion(25 μg/mL)vesicles.After treatment for three consecutive days,the wound healing and histomorphological changes were observed.RESULTS AND CONCLUSION:(1)In vitro experiment:nanofusion vesicles,when administered at concentrations ranging from 0 to 100 μg/mL,exhibited no toxic effects and promoted the proliferation of NIH-3T3 and HUVEC cell lines.Notably,a concentration of 25 μg/mL nanofusion vesicle significantly enhanced the proliferation of NIH-3T3 cells.Furthermore,the survival rate of human umbilical vein endothelial cells was observed to increase in correlation with escalating concentrations of nanofusion vesicles.Nanofusion vesicles had a good antioxidant effect.In comparison to the H2O2 group,the fluorescence signal indicative of reactive oxygen species was progressively diminished in both the nanovesicle group and the nanofusion vesicle group.Furthermore,nanofusion vesicles possessed anti-inflammatory capabilities,effectively mitigating the inflammatory response in macrophages triggered by lipopolysaccharide stimulation.(2)In vivo experiment:Hematoxylin-eosin and Masson's trichrome staining revealed that in comparison to the control group,both the nanovesicle group and the nanofusion vesicle group exhibited a significant increase in granulation tissue formation and collagen fiber deposition within the wounds by day 6.Notably,the nanofusion vesicle group displayed the most pronounced effects.On day 12,the wound of nanofusion vesicle group was significantly reduced,and the healing rate was significantly faster than that of other groups(P＜0.01),and the effect of promoting wound healing was the most significant.Our findings demonstrated that nanofusion vesicles exhibited superior pro-cell proliferative,antioxidant,and anti-inflammatory properties,thereby exerting a beneficial effect on the promotion of skin wound healing in diabetic mouse models.

BACKGROUND:Nanocell vesicles possess functions such as re-epithelialization,antioxidation,anti-inflammation,and regulation of extracellular matrix remodeling.Meanwhile,apoptotic bodies have the immunomodulatory effects.Therefore,the combination of the two to form nanofusion vesicles can synergistically promote the healing of diabetic skin wounds.OBJECTIVE:To elucidate the impact of nanofusion vesicles on skin wound healing in a diabetic murine model.METHODS:(1)Material preparation and characterization:The primary bone marrow mesenchymal stem cells of C57BL/6J neonatal mice and the neutrophil apoptotic bodies of C57BL/6J mice were isolated and extracted.The nanofusion vesicles were prepared by micro-extrusion mechanism.(2)In vitro experiment:MTT assay was used to detect the proliferative effect of different concentrations of nanofusion vesicles on NIH-3T3 cells and human umbilical vein endothelial cells.Reactive oxygen species fluorescence probe was used to detect the antioxidant effect of nano-fusion vesicles on NIH-3T3 cells treated with hydrogen peroxide(H2O2).The inhibitory effect of nanofusion vesicles on RAW 264.7 macrophage inflammation induced by lipopolyside was detected by real-time quantitative RT-qPCR.(3)In vivo experiment:36 male C57BL/6J mice were employed to develop a murine model of diabetes mellitus.Following the successful induction of diabetes,two circular full-thickness wounds,each with a diameter of 6 mm,were created on either side of the diabetic mice's spine using a skin punch.The mice were divided into three groups by random number table method.The control group was injected with 0.1 mL of phosphate buffer solution.The nanovesicle group was injected with 0.1 mL nanovesicles(25 μg/mL).The nanofusion vesicle group was injected with 0.1 mL nanofusion(25 μg/mL)vesicles.After treatment for three consecutive days,the wound healing and histomorphological changes were observed.RESULTS AND CONCLUSION:(1)In vitro experiment:nanofusion vesicles,when administered at concentrations ranging from 0 to 100 μg/mL,exhibited no toxic effects and promoted the proliferation of NIH-3T3 and HUVEC cell lines.Notably,a concentration of 25 μg/mL nanofusion vesicle significantly enhanced the proliferation of NIH-3T3 cells.Furthermore,the survival rate of human umbilical vein endothelial cells was observed to increase in correlation with escalating concentrations of nanofusion vesicles.Nanofusion vesicles had a good antioxidant effect.In comparison to the H2O2 group,the fluorescence signal indicative of reactive oxygen species was progressively diminished in both the nanovesicle group and the nanofusion vesicle group.Furthermore,nanofusion vesicles possessed anti-inflammatory capabilities,effectively mitigating the inflammatory response in macrophages triggered by lipopolysaccharide stimulation.(2)In vivo experiment:Hematoxylin-eosin and Masson's trichrome staining revealed that in comparison to the control group,both the nanovesicle group and the nanofusion vesicle group exhibited a significant increase in granulation tissue formation and collagen fiber deposition within the wounds by day 6.Notably,the nanofusion vesicle group displayed the most pronounced effects.On day 12,the wound of nanofusion vesicle group was significantly reduced,and the healing rate was significantly faster than that of other groups(P＜0.01),and the effect of promoting wound healing was the most significant.Our findings demonstrated that nanofusion vesicles exhibited superior pro-cell proliferative,antioxidant,and anti-inflammatory properties,thereby exerting a beneficial effect on the promotion of skin wound healing in diabetic mouse models.

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.

ObjectiveTo analyze the characteristics and trends of injury-related deaths among the registered residents in Yuyao City, Zhejiang Province from 2014 to 2023, and to provide a scientific basis for the formulation of targeted injury prevention and control strategies. MethodsData on injury-related deaths in Yuyao City from January 1, 2014 to December 31, 2023 were collected from the cause-of-death surveillance module of the chronic disease monitoring and management system of Zhejiang Province. Indicators including constituent ratio, crude mortality rate (CMR), standardized mortality rate (SMR), premature death probability, potential years of life lost (PYLL), average years of life lost (AYLL), and potential years of life lost rate (PYLLR) were calculated. The average annual percentage change (AAPC) was used to analyze the trends in injury mortality over the past 10-year period. ResultsFrom 2014 to 2023, a total of 6 625 injury-related deaths were reported in Yuyao City, accounting for 10.65% of all deaths and ranking fourth among all causes. The CMR was 79.34/100 000 and showed an increasing trend (AAPC=4.396%, t=2.875, P=0.021), while the SMR was 38.99/100 000 with no significant trend (AAPC=-0.585%, t=-0.451, P=0.664). The SMR of females (37.74/100 000) was lower than that of males (40.87/100 000) (χ²=12.468, P<0.001). The top 5 causes of injury-related death were falls, traffic accidents, drowning, suicide, and accidental suffocation. Over the 10-year period, the SMRs for traffic accidents, drowning, and suicide showed downward trends (AAPC=-5.381%, t=-3.428, P=0.009; AAPC=-8.061%, t=-6.924, P<0.001; AAPC=-6.919%, t=-4.039, P=0.004, respectively), while the SMRs for falls and accidental suffocation showed no significant trends (AAPC=3.417%, t=1.767, P=0.115; AAPC=2.228%, t=0.803, P=0.445). Injury mortality increased with age for males, females, and the total population (all P<0.05). The leading causes of injury-related death were drowning among residents aged 0‒<15 years, traffic accidents among those aged 15‒<45 and 45‒<65 years, and falls among those aged 65‒<85 and 85‒110 years. The total PYLL due to injury was 58 708.00 person-years, the AYLL was 21.23 years, and the PYLLR was 7.36‰. ConclusionFrom 2014 to 2023, the crude mortality rate due to injuries in Yuyao City remained at a relatively high level, posing a serious threat to residents’ health and well-being. Falls, traffic accidents, drowning, suicide, and accidental suffocation are key targets for injury prevention and control work.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Objective To systematically review and quantitatively analyze the safety of biologic agents for the clinical treatment of psoriasis during pregnancy and lactation.Methods The literature from start of database to June 27,2023,was searched in MEDLINE(PubMed),Embase,Cochrane Library,and Web of Science by two researcher.Quality of included studies was assessed by the quality evaluation tool of case series from Australian JBI Evidence Based Healthcare Centre.According to Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA),a systematic review and was conducted to assess pregnancy or breastfeeding outcomes in psoriasis patients exposed to biologics within 3 months prior to pregnancy,during pregnancy or breastfeeding.Data on pregnancy and exposure characteristics were pooled,and the prevalence of adverse pregnancy outcome was summarized using a random effects model.Results A total of 54 studies involving 1206 pregnancies in 1177 female patients with psoriasis exposed to biologic agents were included in the analysis.Systematic review results demonstrated that the majority of the exposures were limited to early pregnancy,with pooled spontaneous abortion rates,elective abortion rates,overall mortality,preterm birth rates,incidence of low birth weights,and congenital anomalies similar to those of general population(P>0.05).Furthermore,no serious adverse reactions were reported during lactation.Conclusions The use of biologic agents in pregnant and breastfeeding women with psoriasis does not significantly increase the risk of adverse pregnancy outcomes and does not affect neonatal health or growth.However,the limited available safety data underscores the necessity of further studies to establish the relationship between psoriasis,biologic agents,and pregnancy/lactation outcomes,thereby providing comprehensive guidance for clinical practice.

Pancreatic cancer is characterized by significant drug resistance,and despite continuous advancements in treatment regimens,the 5-year survival rate of patients remains low.The nuclear factor-κB(NF-κB)signaling pathway,frequently mutated in tumors,has been identified as a critical factor in triggering drug resistance.Multiple studies have demonstrated that strategies targeting NF-κB signaling transduction exhibit promising outcomes in pancreatic cancer treatment.Therefore,exploring the relationship between the NF-κB signaling pathway and drug resistance in pancreatic cancer has become a research hotspot in pancreatic cancer treatment.This review summarizes recent advances in the relationship between NF-κB signaling pathway and tumor drug resistance,as well as its role in pancreatic cancer treatment.Specifically,the mechanisms by which the NF-κB signaling pathway mediates drug resistance in pancreatic cancer are elaborated from two perspectives:chemotherapy and immunotherapy,aiming to provide insights for pancreatic cancer treatment and future research.

Objective To investigate the population composition,seasonal dynamics,and infestation levels of cockroaches in Lanzhou,China,and to provide information for the scientific development of cockroach control strategies.Methods Monitoring was conducted at three locations using the sticky trap method.Habitats included farm product markets,catering establishments,hotels,hospitals,and residential areas.Results From 2016 to 2023,the average cockroach density was 0.77 insects per board,with an average infestation rate of 10.84%.Blattella germanica was the dominant species.Seasonal density of cockroaches showed an approximately unimodal distribution,peaking in September.The highest average density and infestation rates were observed in farm product markets.Conclusions Cockroach density and infestation levels in Lanzhou remained relatively low.A comprehensive prevention and control strategy focusing on environmental management in key areas should be implemented according to the seasonal fluctuations.

Objective:Metabolic alkalosis has raised concerns in patients receiving continuous renal replacement therapy (CRRT) via regional citrate anticoagulation (RCA). This study searched for alkalosis-related factors and mechanisms.Methods:It's a retrospective study of alkalosis in patients who received CRRT for at least 12 hours with RCA in a tertiary hospital between April 2017 and April 2020. Demographic features, baseline laboratory results, CRRT metrics and laboratory results at 12h after CRRT was recorded. Patients was grouped based on whether alkalosis exist at 12h after CRRT, and multivariable logistic regression analysis was used to identify risk factors for alkalosis during CRRT with citrate anticoagulation.Results:The 59 patients meeting the inclusion criteria were 49% male, with a mean age of (55±18) years old, and 42% had alkalosis by 12 hours after CRRT. No significant differences in demographic features or laboratory results were observed patients with or without alkalosis. CRRT metrics, including blood flow rate, citrate rate, replacement fluid rate and total effluent rate, were significantly different among groups ( P<0.01). Multivariable Logistic regression analysis indicated that the citrate rate was a risk factor for alkalosis ( OR=1.088, 95% CI 1.020-1.161, P =0.010). In patients receiving no NaHCO 3 and without alkalosis, the linear regression analysis described the relationships of citrate with replacement fluid rate (citrate rate = 0.090 × replacement fluid rate + 56.581; R2 = 0.6918) and total effluent rate (citrate rate = 0.099 × total effluent rate + 2.449). Conclusions:This retrospective observational study demonstrated that CRRT metrics are highly associated with alkalosis after 12 hours of CRRT. Without NaHCO3 infusion, a 10-fold linear correlation was observed between citrate and total effluent rate in patients without metabolic alkalosis.

Objective:To investigate the views of doctors on the incidence and treatment tactics of mild progression after epithelial growth factor receptor tyrosine kinase inhibitor(EGFR-TKI)treatment in lung adenocarcinoma and provide suggestions to optimize the counter-measure strategies.Methods:Convenience sampling was used to conduct an online questionnaire survey for doctors specializing in onco-logy and respiratory diseases.Results:584 valid questionnaires were collected,and all the doctors expressed concerns regarding mild tumor progression after EGFR-TKI treatment.The coping strategies included maintaining the original TKI treatment,adding other treatments to the original TKI,changing the regimen,and performing secondary tissue biopsy,among which,most doctors chose to add other treatments to the original TKI.Conclusions:Doctors have noticed the enlargement of target lesions in still stable disease(SD)and most frequently chose to add other treatments to the original TKI as a coping strategy.This finding can provide a reference for framing future guidelines for large sample prospective clinical studies that are needed to find the most effective synergistic treatment options.