Objective To analyze the epidemiological characteristics and disease burden of liver cancer in Guangdong Province in 2020, and to provide a scientific foundation for the development of regionalized prevention and control strategies for liver cancer. Methods According to the cancer registry data of Guangdong Province, the incidence, mortality and age-standardized rate by Chinese standard population in 2020 were calculated to analyze the epidemiological characteristics of liver cancer. The disability adjusted life years (DALYs), year of life loss (YLL), year of lived with disability (YLD), and cause-eliminated life expectancy were used to assess the disease burden of liver cancer. Results In 2020, the crude incidence rate and the age-standardized incidence rate of liver cancer in Guangdong Province were 27.79/100 000 and 20.84/100 000，respectively, and the crude mortality rate and the age-standardized mortality rate of liver cancer were 25.49/100,000 and 17.64/100 000, respectively. The total DALY and DALY rate of liver cancer in Guangdong Province were 515 311 person-years and 513.83/100 000, respectively. After eliminating the causes of death from liver cancer, the life expectancy in Guangdong Province increased from 84.60 years to 84.99 years. All indicators consistently demonstrated that the burden of liver cancer was higher in males than that in females, and the burden of liver cancer was higher in rural areas than that in urban areas. Conclusion Liver cancer in Guangdong Province exhibits a high incidence, mortality and disease burden level in 2020. There are obvious differences of gender, age and region in cancer burden. It is necessary to strengthen liver cancer screening and diagnosis and treatment in men, the elderly and those in rural areas to reduce the burden of liver cancer gradually in Guangdong Province.

Objective To analyze the case data of farmers' foodborne disease surveillance reports in Guizhou Province from 2022 to 2024, and to provide reference for the precise prevention and control of foodborne diseases among farmers in Guizhou Province. Methods Case data of foodborne disease surveillance reports of farmers were systematically collected from 2022 to 2024 in Guizhou Province. Descriptive epidemiological methods were used to analyze the temporal, geographical, and demographic distribution of foodborne diseases among farmers, along with their primary clinical symptoms and pathogen detection results. Results From 2022 to 2024, a total of 22,882 cases of foodborne diseases were reported among farmers in Guizhou Province. The majority of clinical symptoms (97.81%) were related to the digestive system, with summer being the peak season. While females outnumbered males, the gender difference was statistically insignificant (P >0.05). The 36-55 age group accounted for the highest proportion (38.83%), with Zunyi City (34.89%) and Qiandongnan Prefecture (23.21%) reporting the most cases. Fungal products were the most frequently reported suspected food items (26.96%), and home-made preparation was the primary processing method (58.63%). A total of 1 210 fecal samples were collected through active monitoring with an overall detection rate of 13.22%. Norovirus showed the highest detection rate (9.92%, 120/1 210). Statistically significant differences were observed among different seasons, age groups, regions, types and processing methods of suspected food exposure, and pathogen detection rates (P <0.001). Conclusion Foodborne disease prevention and control among farmers in Guizhou Province should focus on the risks of wild mushroom poisoning in summer and homemade foods, and continuously improve farmers' awareness of the dangers of foodborne diseases and food safety.

Background Both productive dust and noise are occupational hazards, and each can induce changes in blood glucose levels among workers. Objective To explore the potential interactive effects of exposure to productive dust and noise on the risk of hyperglycemia among automobile manufacturing workers. Methods Using a cluster sampling method, workers undergoing occupational health examination from three automobile manufacturing plants in Wuhan in 2022 were selected. Basic information was collected using a questionnaire designed by the Chinese Center for Disease Control and Prevention. Exposure history was obtained through occupational history interviews. Clinic indicators such as blood pressure, blood lipids, fasting blood glucose (FBG), and fatty liver status, were retrieved from examination records. Hyperglycemia was defined as FBG > 6.1 mmol·L^-1. Logistic regression models analyzed the independent effects of occupational noise and dust exposure, while additive and multiplicative interaction models assessed their interactive effects on hyperglycemia. Results The prevalence of hyperglycemia among the 1223 participants was 7.7%. Logistic regression showed that using workers without exposure as reference, the odds ratios (OR) and 95% confidence intervals (CI) for hyperglycemia among workers exposed only to dust, only to noise, and to both were 2.15 (1.90, 4.23), 2.23 (1.40, 5.08), and 3.75 (1.95, 7.24), respectively. A linear association was observed between the duration of noise exposure and blood glucose levels (P<0.05). Interaction analysis showed no multiplicative interaction or additive interaction. Conclusion Exposure to productive dust and noise are independent risk factors for hyperglycemia among workers. While both contribute to increased risk, no significant synergistic interaction is observed.

ObjectiveTo explore the effects of electroacupuncture at governor vessel or Jiaji acupoints on the activation of lumbar spinal cord neurons and the recovery of motor function in paralyzed hind limbs in rats with complete transection of spinal cord injury. MethodsTwenty adult female SD rats were selected. Among them， 15 rats underwent the complete transection of the 10th thoracic spinal cord and were randomly divided into the Control group， the electroacupuncture at governor vessel acupoints （GV） group and the electroacupuncture at Jiaji acupoints （JJ） group， with 5 rats in each group. The other 5 rats served as the Normal group. Electroacupuncture treatment was initiated 3 days after surgery in the GV and JJ groups and performed every other day. Basso-Beatti-Bresnahan （BBB） behavioral score was evaluated weekly. Eight weeks after the operation， cortical motor evoked potential （CMEP） detection was performed， followed by perfusion fixation， tissue harvest， frozen sectioning， and immunofluorescence staining experiments. Results① Both electroacupuncture treatments activated the expression of the excitatory marker c-Fos in L1 spinal cord neurons. The c-Fos⁺ activated neurons were mainly distributed in lamina Ⅳ， Ⅴ and Ⅶ of the L1 spinal cord， while no c-Fos⁺ neuron was observed in the Normal group and the Control group. The percentages of c-Fos⁺ neurons activated by electroacupuncture in the GV group and the JJ group were （10.23±0.15） % and （10.77±1.12） %， respectively， and there was no significant difference between the two electroacupuncture groups. ② vGluT1⁺ proprioceptive afferent nerve fibers were mainly distributed in the dorsal horn and lamina Ⅶ of intermediate zone of L1 spinal cord gray matter. In the dorsal horn of L1 spinal cord， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were greater than that in the Control group， and that in the JJ group was greater than that in the GV group. In the lamina Ⅶ in intermediate zone of L1 spinal cord， where the central pattern generator （CPG） for hindlimb rhythmic movement is located， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were significantly higher than that in the Control group， and the JJ group was also higher than the GV group； The lamina Ⅶ neurons innervated by vGluT1⁺ axon terminals were activated to express the excitatory marker c-Fos in the GV group and the JJ group. ③ The immunofluorescence staining results of acetylcholinesterase （ChAT） in the ventral horn of L4 spinal cord of each group showed that the number of surviving ChAT⁺ motor neurons in the GV group （19.1±3.4， P=0.000 2） and JJ group （19.0±2.9， P=0.000 2） were higher than that in the Control group （9.9±1.9）. ④ The quantitative analysis of the vGluT2⁺ excitatory axonal terminals， vGAT⁺ inhibitory axonal terminals， and the ratio of vGluT2⁺/vGAT⁺ axonal terminals ［reflecting the excitation/inhibition （E/I） balance of motor neurons］ innervating ChAT⁺ motor neurons in the ventral horn of the L4 spinal cord revealed that all three indices were significantly higher in the GV and JJ groups than in the Control group. Moreover， the E/I ratio of motor neurons in the two electroacupuncture groups gradually reached the same level as normal and showed no statistical difference from the Normal group. ⑤ The electrophysiological and behavioral detection results showed that compared with the Control group， the latencies of CMEP in the GV group and the JJ group shortened， while their amplitudes increased. The BBB score of paralyzed hindlimbs showed that after 8 weeks of treatment， the scores of both the GV group （4.25±1.26， P=0.023 4） and the JJ group （4.75±0.96， P=0.000 2） were higher than those of the Control group （1.80±1.30）， but there was no statistical difference between the two electroacupuncture groups. ConclusionElectroacupuncture at GV or JJ acupoints may promote the afferent of vGluT1⁺ proprioceptive nerve fibers into the spinal cord， indicating the possibility to activate CPG neurons in lamina Ⅶ of L1 spinal cord； facilitate the survival of motor neurons in the L4 spinal cord and restore their excitatory/inhibitory balance， improving the motor function of the paralyzed hindlimbs in rats.

Background Against the backdrop of global warming, extreme high-temperature weather events are becoming more frequent and pose a substantial threat to human health. Urumqi is located in a typical arid climate zone, but the health effects of heatwaves in this region remain insufficiently understood. Objective To evaluate the association between heatwave events and non-accidental mortality among residents in Urumqi, quantify the attributable mortality burden, identify vulnerable populations, and provide scientific evidence to support the development of targeted regional intervention strategies. Methods Data on non-accidental mortality, meteorological variables, and air pollutants in Urumqi from 2018 to 2024 were collected. A heatwave was defined as three or more consecutive days with daily mean temperature exceeding the 90th percentile of the study period. Under a time-stratified case-crossover design, a generalized additive model incorporating a cross-basis function within the distributed lag nonlinear model framework was applied to simultaneously assess the single-day (lag0-lag7) and cumulative (lag01-lag07) lag effects and exposure-response relationship of heatwave exposure with non-accidental mortality. Heatwave-attributable excess deaths was further estimated. Results The exposure-response relationship between daily mean temperature exposure and non-accidental mortality in Urumqi exhibited a J-shaped curve. Using 25 ℃ as the reference temperature, mortality risk increased when temperature exceeded 27.4 ℃. The cumulative relative mortality risk over lag07 following heatwave exposure was 1.100 (95%CI: 1.059, 1.142), with the highest effect observed at lag06 (RR=1.151, 95%CI: 1.095, 1.209). Subgroup analyses showed that females (lag06, RR=1.169, 95%CI: 1.082, 1.262) and residents aged ≥65 years (lag06, RR=1.156, 95%CI: 1.092, 1.224) had higher mortality risks than males (lag06, RR=1.140, 95%CI: 1.069, 1.216) and residents aged <65 years group (lag06, RR=1.141, 95%CI: 1.035, 1.257), respectively. The increased risk appeared earlier among females, beginning at lag02, compared with lag03 among males. Heatwave-attributable excess deaths showed an overall upward trend, peaking at 248 (95%CI: 152, 341) deaths in 2023 and 229 (95%CI: 141, 314) deaths in 2024. Conclusion Heatwave events are significantly associated with an increased risk of non-accidental mortality among residents in Urumqi, primarily through cumulative lag effects under consecutive days of exposure. Females and residents aged ≥65 years are identified as vulnerable populations. The estimated excess deaths attributable to heatwaves show an overall upward trend.

Objective To investigate gender differences and age-related changes in body composition(BC)among Miao adults in Rongshui,Guangxi Province,and to provide the basis for assessing nutritional status and health.Methods With informed consent,630 Miao adults(218 males,412 females)were randomly selected for this study.Body composition was assessed using bioelectrical impedance analysis(BIA).Results Weight,fat-free mass,muscle mass,trunk muscle mass,limb muscle mass,waist-to-hip ratio(WHR),body water,presumtion of bone mass and protein were significantly higher in males than in females.And the fat mass,trunk fat mass,limb fat mass,visceral fat content,subcutaneous fat content and percentage of body fat were significantly higher in females than in males.According to the evaluation of body mass index(BMI)and WHR,the proportion of overweight and obesity of Miao adults was higher than the average level of Miao residents,and their obesity was characterized by central obesity.With age,weight,fat mass,muscle mass,fat-free mass,limb muscle mass,limb fat mass,subcutaneous fat content,percentage of body fat,body water,presumtion of bone mass,and protein of Rongshui Miao adults showed a gradual decreasing trend,while visceral fat content and WHR increased progressively.BMI in male Miao adults,along with BMI,fat mass,trunk fat mass,subcutaneous fat content,percentage of body fat,and body water in female Miao adults,showed a trend of increasing followed by decreasing,peaking at the age of 40-49 years.Conclusion The body composition of Miao adults in Rongshui,Guangxi,exhibits significant gender differences and age-related variation change patterns,which may increase the risk of sarcopenia and metabolic diseases with aging.

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 To study the chemical composition of and identify its active components.Methods The chemical constituents of Dendrobium Primulinum were extracted using solvents,followed by separation through silica gel and gel column chromatography,with structural identification performed via spectral analysis.The in vitro activity screening of some compounds was conducted using the MTT assay.Results Seven compounds were isolated and identified from Dendrobium primulinum,namely 7-dihydroxy-2,4-methoxyphenanthrene(1),densiflorol B(2),3,4,7-trihydroxy-2-methoxy-9,10-dihydrophenanthrene(3),thunalbene(4),phillygenin(5),3 β-hydroxy-5 α,8 α-epidioxyergosta-6,22-diene(6)、4-hydroxy-3,5-dimethoxy--cinnamaldehyde(7).Antitumor activity tests were performed on compounds 1 to 5,revealing that compound 1 exhibited strong inhibitory activity against the MCF-7/S cell line,with an IC50 of 5.13 μM.Conclusion Compounds 1 to 6 are reported for the first time from Dendrobium primulinum,while compound 7 is reported for the first time from this genus.

Objective To predict and preliminarily validate potential shared key genes involved in cardiac complications caused by influenza A virus(IAV)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infections.Methods Differentially expressed genes(DEGs)associated with cardiac complications were obtained from the Gene Expression Omnibus(GEO)database.A hierarchical intersection strategy was applied.First,cardiac complication related DEGs were overlapped with 2 independent virus related gene sets:3 454 human genes linked to IAV infection in GeneCards and 333 human protein-coding genes interacting with SARS-CoV-2 in the Human Protein Atlas.The 2 overlap results were then intersected to yield 22 hub genes.Lasso regression,random forest(RF)and support vector machine algorithms(SVM)were employed to refine this list.Predicted genes were validated in vitro in H1N1-infected human cardiomyocyte AC16 cells and in vivo in IFITM3 knockout mice challenged with H1N1,assessing transcriptional changes.Results A total of 22 hub genes were identified through integrative bioinformatics analysis.Application of the 3 machine learning algorithms resulted in 5 common key genes:ACE2,TBK1,NUP210,PUSL1,and MEPCE.In vitro infection of AC16 cells with H1N1 revealed dynamic transcriptional changes in all 5 genes post-infection(P<0.05).In vivo experiments using H1N1-infected IFITM3 knockout mice confirmed the dynamic mRNA expression changes of these 5 genes,consistent with the in vitro results(P<0.05).Conclusion By combining multilayered bioinformatics analysis with 3 machine learning approaches,5 common key genes are identified:ACE2,TBK1,NUP210,PUSL1 and MEPCE.Validation in H1N1 infection models confirms their relevance to IAV-induced cardiac complications.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.