Lung cancer remains one of the most prevalent and lethal malignancies worldwide. The advancement of its precise diagnosis and therapeutic development urgently requires in vitro models that can highly recapitulate the pathophysiological characteristics of human tissues. Organ-on-a-chip has emerged as a novel technological platform that integrates microfluidic engineering, biomaterials, and other engineering strategies with organoid culture. This platform enables precise control over the cellular microenvironment, thereby closely mimicking the three-dimensional structure and physiological functions of human organs in vitro. Organ-on-a-chip systems demonstrate significant advantages in cancer research, developmental biology, and disease modeling, as they not only preserve the heterogeneity and pathological features of patient samples but also support co-culture of various cell types to reconstruct the tumor microenvironment (TME). However, standardized construction methods and integrated analytical strategies for this technology in lung cancer research remain to be further refined. This review systematically elaborates on the key technical principles of organ-on-a-chip and its recent advances in lung cancer modeling, drug screening, and immunotherapy research. It aims to provide a theoretical foundation and technical perspective for promoting the deeper application of organ-on-a-chip in precision medicine and translational research for lung cancer.
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Humans ; Lung Neoplasms/drug therapy* ; Organoids/drug effects* ; Lab-On-A-Chip Devices ; Animals ; Tumor Microenvironment

Objective To investigate the epidemiological characteristics and control measures of dengue fever in Zhongshan City in 2024, so as to provide insights into optimization of dengue fever control strategies in the city. Methods Data pertaining to dengue fever cases in Zhongshan City in 2024 were collected from the Infectious Disease Reporting System of China Disease Prevention and Control Information System, and the epidemiological characteristics of the cases were analyzed using a descriptive statistical method. The density of Aedes albopictus mosquito was monitored across all 23 townships (subdistricts) using Breteau index (BI) and mosquito ovitrap index (MOI) at midmonth each month from March to December 2024. In addition, the climatic characteristics, case reporting patterns, and corresponding control measures were analyzed during different phases of dengue fever epidemics in Zhongshan in 2024. Furthermore, real-time quantitative reverse transcription PCR (RT-qPCR) assay was employed to serotype the dengue virus among local dengue fever cases with unknown sources of infections. The dengue virus envelope (E) gene was sequenced using Sanger sequencing among dengue fever cases without apparent epidemiological links. A phylogenetic tree was constructed using the neighbor-joining method to infer major transmission chains during the dengue fever epi demics. Results A total of 952 dengue fever cases were reported in Zhongshan City in 2024, including 879 local cases, 57 domestically imported cases from other regions, and 16 overseas imported cases, representing the largest outbreak in nearly two decades. The first local dengue fever case was reported on July 5, and the last one was detected on December 19, with all townships and subdistricts affected. Mosquito monitoring data indicated that both MOI and BI rose rapidly from March to May, and then remained at high levels with fluctuations, and began to decline in October. The dengue fever epidemic was categorized into five distinct phases in Zhongshan, including non-epidemic, pre-epidemic, early-epidemic, peak, and receding stages. During the pre-epidemic and early-epidemic phases, key measures included enhancing sensitivity of case detection, implementing isolation and treatment of hospitalized cases, and carrying out standardized vector control measures in affected communities. In the peak phase, the strategy shifted towards targeted mosquito control in key communities and clinical rescue and treatment emphasized on “preventing severe cases and deaths”. Among 481 local cases with unknown sources of infections, RT-qPCR assay revealed that 68.8% (331/481) were infected with dengue virus type I and 31.2% (150/481) with type II among local dengue fever cases in Zhongshan City in 2024. Phylogenetic analysis revealed two major transmission chains: one originating from imported cases within Guangdong Province around Zhongshan City, and another from cases imported from Malaysia. Late detection of local dengue fever cases contributed to widespread community outbreaks. Conclusions The 2024 dengue fever epidemic in Zhongshan City was of considerable scale, which was primarily driven by imported cases from overseas and surrounding regions, leading to local community outbreaks. The epidemic began in early July, increased rapidly during August and September, peaked in October, and subsequently declined, with a trend consistent with the average pattern observed in previous high-incidence years. By implementing differentiated control measures tailored to each phase of the epidemic, the local transmission of dengue fever was successfully contained in Zhongshan City in 2024.

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

Objective To analyze the pathogen spectrum characteristics of infectious diarrhea in children under 5 years old in Zhongshan City from 2023 to 2024,and evaluate the application value of multiple detection technique in monitoring diarrhea syndrome.Methods Diarrhea specimens from hospitalized children under 5 years old in 4 senti-nel hospitals in Zhongshan City from 2023 to 2024 were collected,Luminex? multi-pathogen detection kit(GPP)was used for screening 16 types of pathogens,and fluorescence quantitative polymerase chain reaction(qPCR)was simultaneously used to verify the consistency of detection results of 5 diarrhea virus.Results A total of 578 dia-rrhea specimens were collected,and the positive detection rate of pathogens was 67.13％(n=388).The positive detection rate of viral pathogens was 38.24％,mainly norovirus(21.63％),rotavirus A(10.90％),and sapovirus(4.67％).The positive detection rate of bacterial pathogens was 41.00％,mainly Salmonella spp.(19.55％),Clostridioides di f ficile toxin A/B(14.71％),and Campylobacter sp p.(8.82％).Cryptosporidium,Entamoeba histolytica,and Giardia were not detected.The consistency between GPP and qPCR in detecting viral pathogens reached 95.16％,with a Kappa value of 0.897(x2=465.36,P＜0.001).Conclusion The main pathogens causing diarrhea in children in Zhongshan City are norovirus,Salmonella,and Clostridioides toxin A/B.GPP technique can efficiently construct a multi-pathogen spectrum,and provide reliable technical support for optimizing the monitoring system of diarrhea syndrome.

Objective To analyze the pathogen spectrum characteristics of infectious diarrhea in children under 5 years old in Zhongshan City from 2023 to 2024,and evaluate the application value of multiple detection technique in monitoring diarrhea syndrome.Methods Diarrhea specimens from hospitalized children under 5 years old in 4 senti-nel hospitals in Zhongshan City from 2023 to 2024 were collected,Luminex? multi-pathogen detection kit(GPP)was used for screening 16 types of pathogens,and fluorescence quantitative polymerase chain reaction(qPCR)was simultaneously used to verify the consistency of detection results of 5 diarrhea virus.Results A total of 578 dia-rrhea specimens were collected,and the positive detection rate of pathogens was 67.13％(n=388).The positive detection rate of viral pathogens was 38.24％,mainly norovirus(21.63％),rotavirus A(10.90％),and sapovirus(4.67％).The positive detection rate of bacterial pathogens was 41.00％,mainly Salmonella spp.(19.55％),Clostridioides di f ficile toxin A/B(14.71％),and Campylobacter sp p.(8.82％).Cryptosporidium,Entamoeba histolytica,and Giardia were not detected.The consistency between GPP and qPCR in detecting viral pathogens reached 95.16％,with a Kappa value of 0.897(x2=465.36,P＜0.001).Conclusion The main pathogens causing diarrhea in children in Zhongshan City are norovirus,Salmonella,and Clostridioides toxin A/B.GPP technique can efficiently construct a multi-pathogen spectrum,and provide reliable technical support for optimizing the monitoring system of diarrhea syndrome.

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

Objective:To study the effects of cathepsin K(CTSK)on the healing process of tooth extraction socket and type H blood vessel angiogenesis in mice.Methods:Ctsk knockout(Ctsk-/-)mice were generated by CRISPR/Cas9 technology,and genotype sequen-cing,general observation,Micro-CT and immunohistochemistry were performed to confirm successful knockout of Ctsk.Then 8 week-old WT and Ctsk-/-mice were used to establish the tooth extraction modle by extracting the left maxillary first molars,and the mice were sac-rificed at the day 7,10,14,21,28 and 35 respectively(n=3)after tooth extraction.Then samples were subjected to stereo microscope and Micro-CT examination.Immunofluorescence staining was used to study the effect of Ctsk knockout on type H blood vessel angiogene-sis.Results:Ctsk knockout did not affect the soft tissue healing of tooth extraction socket,but significantly promoted the bone healing process,and Ctsk deficency significantly enhanced type H blood vessel angiogenesis in the tooth extraction socket.Conclusion:Ctsk knockout can enhance type H vessel angiogenesis,and promote bone healing process of tooth extraction socket in mice.

Objective To explore the clinical efficacy of arc-edge needle therapy based on Zaodian theory in the treatment of refractory tennis elbow.Methods 64 patients with refractory tennis elbow were collected and randomly divided into a control group and an observation group using a random number table method.Among them,32 cases in the control group were treated with local pain point injection.32 patients in the observation group were treated with arc-edge needle therapy once a week,with two treatments per group.The Number rating scale(NRS)Mayo,elbow joint performance score(MEPS)and Disabilities of the arm,shoulder and hand(DASH)score were recorded and compared between the two groups before treatment and at 1,2,4 and 24 weeks of follow-up after treatment,disease efficacy score(WDES)at 24 weeks of follow-up.Results During the treat-ment process,neither group of patients experienced serious adverse reactions.At each stage after treatment,two groups of NRS MEPS,DASH,and WDES at 24 weeks of follow-up all improved compared to before treatment.After one week of treatment,there was no statistically significant difference in NRS scores between the two groups(P>0.05).At follow-up visits at weeks 2,4,and 24,the NRS scores in the observation group were lower than those in the control group.After 1,2,4,and 24 weeks of follow-up after treatment,the DASH score was lower in the observation group than in the control group,and the MEPS score was higher in the observation group than in the control group,with statistically significant differences(P<0.05).After 24 weeks of treatment,the WDES of the observation group was better than that of the control group,and the difference was statistically significant(P<0.05).Conclusion Local pain point injection and arc-edge Zaodian release can alleviate pain and improve elbow joint function in the early stage of refractory tennis elbow.However,the long-term effect of local pain point injection treatment is not good,and the treatment effect of the observation group gradually improves.

Objective To assess the feasibility of utilizing the ExacTracDynamic surface monitoring system(ETD)for setup and body surface monitoring in patients with thoracic tumors undergoing intensity-modulated radio-therapy(IMRT).Methods Patients receiving IMRT for thoracic tumors were included in this study.The enrolled patients were alternatively assigned to either conventional cross curve positioning(control group)or surface monitoring system-assisted positioning(experimental group).ETD X-ray images were utilized for calibration purposes prior to radiotherapy,enabling the determination of setup errors.A region of interest(ROI)was delineated on the body surface above the sternum,and real-time body surface monitoring was performed based on this ROI during radiotherapy.Post-radiotherapy X-ray images were obtained to verify patient position.Data regarding left-right(X),head-foot(Y),abdomen-back(Z),pitch,roll,and yaw directions were recorded and analyzed.Results A total of 60 patients were enrolled,with 754 fractions of radiotherapy in the control group and 718 fractions in the experimental group.The setup errors in the X and Z directions were significantly smaller in the experimental group compared to the control group(P<0.05).Moreover,there was a significant reduction in the number of setup errors≤0.50 cm for X,Y,and Z directions,as well as≤1.00° for Roll angle in the experimental group compared to the control group(P<0.05).Additionally,differences were observed between surface monitoring and X-ray image verification regarding position deviation along Y and Z directions(P<0.05),although these deviations remained within submillimeter levels on average.Conclusion Surface monitoring system-assisted positioning can enhance radiotherapy setup accuracy among thoracic tumor patients,particularly along X and Z directions.Furthermore,when setting ROI above sternum on body surface area,surface monitoring provides better reflection of target area's position deviation.

Objective:To explore the effects of depressive symptoms on sleep quality in adolescents with depressive disorder, and the mediating roles of cognitive fusion and sleep belief.Methods:A sample of 210 adolescents with first episode depressive disorder aged 12-18 years were recruited to complete 17-item Hamilton depression scale (HAMD-17), Pittsburgh sleep quality index (PSQI), cognitive fusion questionnaire (CFQ), and dysfunctional beliefs and attitudes about sleep scale (DBAS-16) from November 2021 to July 2022. SPSS 26.0 software was used to perform descriptive analysis and correlation analysis. The mediating effect was tested by Bootstrap analysis using PROCESS V 3.4 Macro program.Results:The incidence of low sleep quality in adolescents with depressive disorder was 69.0%(145/210). HAMD-17 score was (22.4±7.9), PSQI score was (9.7±3.7), CFQ score was (51.6±7.8), DBAS-16 score was (43.5±8.4).PSQI was positively correlated with the scores of HAMD-17 and CFQ( r=0.613, 0.463, both P<0.001).HAMD-17 was positively correlated with CFQ score ( r=0.488, P<0.001).DBAS-16 was negatively correlated with scores of PSQI, HAMD-17 and CFQ( r=-0.326, -0.284, -0.354, all P<0.001). The direct effect of depression on sleep quality was 0.230(95% CI=0.169-0.293). The indirect effect of depression on sleep quality through two pathways, the separate mediating effect value of cognitive fusion was 0.041 (95% CI=0.011-0.074), and the chain mediating effect value of cognitive fusion and sleep beliefs was 0.008(95% CI=0.001-0.020). Conclusion:Depressive symptoms can directly affect sleep quality of depressive disorder adolescents and indirectly through cognitive fusion and sleep beliefs.