ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

Background With China's socio-economic development, the dietary structure of Chinese residents has gradually shifted from a traditional Eastern pattern characterized by high carbohydrate intake to a relatively high-fat Western dietary model, alongside a growing burden of chronic diseases. However, dietary changes may vary across different occupational groups. Objective To analyze the long-term trends in dietary energy and three major macronutrient intake among various occupational groups aged 18-59 years in nine provinces of China from 1989 to 2018, providing a scientific basis for developing occupation-specific dietary intervention strategies. Methods Based on 11 waves of data (1989–2018) from the China Health and Nutrition Survey (CHNS), 57458 employed individuals aged 18-59 years were selected as observation subjects after applying inclusion and exclusion criteria. Joinpoint regression was used to analyze temporal trends by calculating the annual percentage change (APC) and average annual percentage change (AAPC) with 95% confidence intervals. The analysis covered the energy supply ratio from the three major macronutrients and the proportion of the participants within the acceptable macronutrient distribution ranges (AMDR) for the total occupational population and specific occupational group. Results From 1989 to 2018, the dietary structure of the occupational population in the nine provinces gradually Westernized. The carbohydrate energy supply ratio showed a decreasing trend (AAPC=−0.77%, 95%CI: −1.00%, −0.55%, P<0.05), while the fat energy supply ratio increased (AAPC=1.42%, 95%CI: 1.07%, 1.77%, P<0.05). The protein energy supply ratio remained largely unchanged (AAPC=−0.19%, 95%CI: −0.08%, 0.46%, P>0.05), and the total energy intake declined (AAPC=−0.62%, 95%CI: −0.94%, −0.30%, P<0.05). Among the occupational groups studied, white-collar workers were the first to show characteristics of dietary Westernization. Using the AMDR as the criterion, their average fat energy supply ratio first exceeded the AMDR upper limit (30%) in 1993, and their average carbohydrate energy supply ratio first fell below the AMDR lower limit (50%) in 2006, both time points being earlier than other occupational groups. Agricultural workers lagged in this transition (their average fat energy supply ratio first reached ≥30% in 2011), but their rate of increase in the fat energy supply ratio was the fastest among all occupational groups (AAPC=1.59%, 95%CI: 0.90%, 2.30%, P<0.05; P for trend comparison between groups<0.05). The other three occupational groups (blue-collar workers, service workers, and others) generally fell between these two extremes. Taking the fat energy supply ratio as an example, their AAPCs of increase were 1.02% (95%CI: 0.73%, 1.32%, P<0.05) for blue-collar workers, 0.85% (95%CI: 0.61%, 1.09%, P<0.05) for service workers, and 0.88% (95%CI: 0.58%, 1.17%, P<0.05) for others. Conclusion From 1989 to 2018, the macronutrient structure of the occupational population aged 18-59 years in nine China provinces is gradually Westernized. The energy supply ratios of carbohydrates and proteins primarily face issues of potential inadequacy, while the fat energy supply ratio is excessively high. Furthermore, the patterns of change vary among different occupational groups. It is recommended to propose personalized dietary advice tailored to specific occupations.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

Objective To systematically analyze the characteristics of the disease burden of hypertensive heart disease (HHD) in the elderly (≥60 years) globally and in China from 1990 to 2021, and to predict its future trends from 2022 to 2040, with the aim of providing data support for optimizing comprehensive prevention and control strategies for HHD. Methods Based on the Global Burden of Disease (GBD) 2021 database, the number of prevalent cases and disability-adjusted life years (DALYs) of HHD in the elderly were extracted for the world, China, and five regions categorized by sociodemographic index (SDI). Joinpoint regression was used to analyze the temporal trends of age-standardized prevalence rate and age-standardized DALYs rate of HHD in the elderly. A three-factor decomposition method was applied to evaluate the relative contributions of aging, population growth, and epidemiological changes to the variations in the elderly HHD burden. Additionally, a Bayesian age-period-cohort model was used to predict the elderly HHD burden from 2022 to 2040. Results In 2021, the number of prevalent elderly HHD cases reached 10 283 000 globally and 3 412 400 in China, representing increases of 179.20% and 159.20% respectively, compared with 1990. The DALYs of elderly HHD were 18 812 700 person-years globally and 4 731 400 person-years in China, rising by 76.08% and 29.45% respectively from 1990. Meanwhile, the growth rates of the number of prevalent cases and DALYs of elderly HHD varied across different SDI regions. From 1990 to 2021, the age-standardized prevalence rate of elderly HHD in China, as well as the age-standardized DALYs rate of elderly HHD both globally and in China, showed significant downward trends (all average annual percentage changes<0, all P<0.001). In 2021, the 70-74 years age group accounted for the highest proportion of prevalent cases and DALYs of elderly HHD, both globally and in China. Decomposition analysis revealed that population growth was the dominant factor driving the increase in the elderly HHD burden across all regions. The prediction model results indicated that the number of prevalent cases and DALYs of elderly HHD would continue to rise globally and in China from 2022 to 2040, with the growth rate of the elderly HHD burden in China between 2021 and 2040 expected to exceed the global average. Conclusion Over the past 32 years, although the age-standardized disease rates of elderly HHD have mainly shown a downward trend globally and in China, the absolute number of the disease burden has increased substantially. The projection model indicates a continued upward trajectory, with the growth rate in China higher than the global average. Therefore, there is an urgent need to implement precise prevention and control strategies to effectively mitigate the disease burden of elderly HHD.

Objective:To explore the safety of laparoscopic modified transcystic biliary drainage(modified C-tube technique)in the treatment of biliary stones and application of diagnosing biliary disease.Methods:A retrospective analysis was conducted on the clinical data of 68 cases of biliary stones successfully treated with laparoscopic modified C-tube technique from August 2021 to December 2023.The safety,effectiveness,and area of applications were analyzed.The reliability of the principle of the modified fixation method was verified by using an ex vivo gallbladder.Results:Three cases of ex vivo gallbladder demonstrated that the strength of the modified fixation method was reliable,and the sinus tract formed by suture after immediate extraction of the C tube could be dislocated and closed,resisting the bile outflow caused by the weight of the gallbladder.Among the 68 patients,42 were difficult biliary stones,6 were suspected common bile duct stones,and 5 were extrahepatic bile duct stones combined with intrahepatic bile duct stones.Among them,48 cases underwent choledochoscopy assisted trans-choledochal approach for stone removal,and 10 cases underwent transcystic approach stone removal,Six patients underwent simply basket exploration and removal of stones through the cystic duct(5 patients had no residual stones on postoperative C-tube angiography,1 patient had suspected residual stones,and the patient refused further examination and treatment for no symptom),and 4 patients only underwent biliary drainage through the cystic duct;two patients with retained stone passed after the use of topical nitrate drip infusion via C-tube,seven cases underwent endoscopic retrograde cholangiopancreatography(ERCP),stone removal with the assistance of a C-tube after laparoscopic surgery,and the results were uneventful.The mean surgical time was(131±44)min(76-279 min),the maximum daily drainage volume of the C-tube was(401±235)mL/d(10-1 150 mL/d),the hospital stay was(8.6±3.6)d(2-19 d),and the mean time of C-tube removal was(11±6.9)d(5-46 d).There were 14 overall complications,including 2 residual stones,and 12 C-tube related complications,comprising of 1 gradeⅢ a,2 grade Ⅱ,and 9 grade Ⅰ.There were 9 cases of C-tube related adverse events that did not cause complications,including 3 of early detachment,2 of displacement,and 4 of deep insertion.The median follow-up time after surgery was 21(2-30)months,and 5 patients had recurrent stones.Among them,4 patients had slow contrast outflow during cholangiogram,and 1 patient had obvious pancreaticobiliary reflux.55 patients underwent C-tube amylase measurement,and 9 cases showed a significant increase in bile amylase(349-44 936 U/L),suggesting the presence of pancreaticobiliary reflux.Conclusion:Laparoscopic modified C-tube technique can be effectively used in the treatment of biliary stones,which is relatively safe and can be attempted in the diagnosis of biliary diseases.

Objective Low-density lipoprotein cholesterol(LDL-C)is causally associated with atherosclerotic cardiovascular disease(ASCVD).Proprotein convertase subtilisin/kexin type 9(PCSK9)increases the degradation of low-density lipoprotein receptor(LDL-R),thereby promoting lipid accumulation.This study investigated the mechanism of microRNA(miRNA)-125a-5p in regulating PCSK9 transcriptional expression and lipid accumulation through histone deacetylase sirtuin 6(SIRT6)-mediated histone acetylation.Methods RAW264.7 macrophages exposed to oxidized low-density lipoprotein(ox-LDL)were used to establish a macrophage lipid accumulation model.The cells were divided into eight groups:control group(Group A),ox-LDL group(Group B),SIRT6 agonist group(Group C),si-SIRT6 group(Group D),miR-125a-5p mimic group(Group E),miR-125a-5p mimic negative control group(Group F),miR-125a-5p inhibitor group(Group G),and miR-125a-5p inhibitor negative control group(Group H).Oil red O staining was used to verify lipid ac-cumulation in macrophages.Real-time fluorescent quantitative polymerase chain reaction(PCR)was employed to detect the gene expression levels of miR-125a-5p,SIRT6 and PCSK9.Western blotting was used to detect the protein expression levels of SIRT6,histone 3 lysine 9 acetylation(H3K9ac),histone 3(H3),and PCSK9.An LDL-C kit was used to measure cellular LDL-C con-tent.Results Compared with Group A,Group B exhibited increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3 rati-o,increased relative gene and protein expression of PCSK9,and elevated LDL-C levels,with statis-tically significant differences(P＜0.01).In Group B,a positive correlation was observed between H3K9ac and PCSK9 protein expression(r=0.935 0,P＜0.01),as well as between PCSK9 and LDL-C(r=0.981 3,P＜0.01).Compared with Group B,Group C showed no significant change in miR-125a-5p expression(P＞0.05),but increased relative SIRT6 gene and its protein expres-sion,decreased H3K9ac/H3 ratio,decreased relative gene and protein expression of PCSK9,and reduced LDL-C levels(P＜0.01).In contrast,Group D,compared with Group B,had no signifi-cant change in miR-125a-5p gene expression(P＞0.05),but decreased relative gene and protein expression of SIRT6,increased H3K9ac/H3 ratio,increased relative PCSK9 gene and its protein expression,and elevated LDL-C levels(P＜0.05 or P＜0.01).Group E,compared with Group B,showed increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3,increased relative PCSK9 gene and its protein ex-pression,and elevated LDL-C levels(P＜0.01).Group G,compared with Group B,had de-creased relative gene expression of miR-125a-5p,increased relative gene and protein expression of SIRT6,decreased H3K9ac/H3 ratio,decreased relative PCSK9 gene and protein expression,and reduced LDL-C levels(P＜0.01).No significant changes were observed in miR-125a-5p,SIRT6,H3K9ac/H3 ratio,PCSK9,or LDL-C levels in Groups F and H compared with Group B(P＞0.05).Conclusion Epigenetics is an important regulatory mechanism in the development of ather-osclerosis(AS).Elevated LDL-C is a significant risk factor for AS,and increased PCSK9 expres-sion exacerbates lipid accumulation.Imbalance in histone acetylation is a novel mechanism involved in PCSK9-mediated lipid accumulation,potentially serving as an early detection marker for lipid me-tabolism disorders.SIRT6 acts as a protective factor by reversibly regulating PCSK9 transcriptional expression,reducing lipid accumulation,and delaying AS progression.MiR-125a-5p,as an up-stream regulatory gene of SIRT6,targets and inhibits SIRT6 transcription,thereby modulating his-tone acetylation,and may serve as a new target for early screening and prevention of dyslipidemia.

Objective: To investigate the mechanism of miR-224-5p on proliferation, apoptosis, invasion and migration of human hepatocellular carcinoma HepG2 cells. Methods : The RNA expression levels of miR-224-5p and early growth responsive gene 2(EGR2) in patients with hepatocellular carcinoma were obtained from the TCGA dataset. Normal human hepatocytes LO2 and hepatoma cells HepG2 were cultured in vitro, and the HepG2 cells were transfected with lentiviral vectors(knockdown of miR-224-5p), small interfering RNA fragments or overexpression vectors(interference and overexpression of EGR2). The expression levels of miR-224-5p and EGR2 in hepatocellular carcinoma cDNA chips and cells were detected by quantitative real-time PCR(qPCR). The expression level of EGR2 protein was detected by Western blot. Dual luciferase reporter gene assay was used to detect the binding of miR-224-5p to EGR2. HepG2 cells positive rate were detected by EdU assay, apoptosis rate was detected by flow cytometry, cell invasion number was detected by Transwell assay, and cell mobility was detected by scratch assay. Results : Compared with paracancerous tissues, the expression of miR-224-5p was increased and the expression of EGR2 mRNA decreased in HCC tissues. Compared with LO2 group, the expression of miR-224-5p in HepG2 cells increased, and the expression of EGR2 mRNA and protein decreased. Compared with the Lv-sh-NC group, the 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in the Lv-sh-miR-224-5p group decreased, while the apoptosis rate increased. Compared with Oe-NC group, 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in Oe-EGR2 group decreased, while apoptosis rate increased. Compared with Lv-sh-NC group, the expression of EGR2 protein in Lv-sh-miR-224-5p group increased. Compared with Lv-sh-miR-224-5p+si-NC group, 24 h EdU positive cell rate, cell invasion rate, and 48 h cell mobility of HepG2 cells in Lv-sh-miR-224-5p+si-EGR2 group increased, while apoptosis number decreased. Conclusion miR-224-5p can promote proliferation, invasion, and migration of HepG2 cells and inhibit apoptosis via binding with EGR2.

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.