ObjectiveTo observe the effect of M1 bone marrow-derived macrophages （M1-BMDM） with Wnt5a knockdown on liver fibrosis and regeneration in a rat model of liver cirrhosis， and to investigate its gain-of-function effect compared with unmodified M1-BMDM. MethodsPrimary bone marrow-derived macrophages were isolated from rats and were polarized to M1 phenotype to construct M1-BMDM^Wnt5a-KD cells. A rat model of liver cirrhosis induced by CCl₄/2-AAF was established， and at the end of week 8， rats were randomly divided into model group， M1-BMDM group， M1-BMDM Wnt5a-knockdown empty vector group （M1-BMDM^KD-EV group）， and M1-BMDM Wnt5a-knockdown group （M1-BMDM^Wnt5a-KD group）， with 6 rats in each group. On the first day of week 9， the rats in each group were given a single injection of the corresponding cells via the caudal vein， along with an intraperitoneal injection of a CCR2 inhibitor. Six rats without any treatment were used as normal control group. Samples were collected at the end of week 12 to assess liver histopathology， serum liver function parameters， hepatic stellate cell activation， and the expression levels of mature hepatocyte markers. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the model group， all cell treatment groups had significant alleviation of liver inflammatory response and significant reductions in the activities of alanine aminotransferase and aspartate aminotransferase （AST） in serum （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly lower serum level of AST than the M1-BMDM group （P<0.05）. The semi-quantitative analysis based on immunohistochemical staining showed that compared with the model group， all cell treatment groups had a significant reduction in the percentage of CD68-positive area （all P<0.05）， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had a significant reduction in the percentage of CD68-positive area and a significant increase in the percentage of CD163-positive area （both P<0.05）. Compared with the model group， all cell treatment groups had significant reductions in the mRNA expression levels of CD68 and tumor necrosis factor-α （all P<0.05） and the protein expression level of CD68 （all P<0.01）； compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant increases in the protein and mRNA expression levels of CD163 （both P<0.05）， significant reductions in the protein and mRNA expression levels of CD68 （both P<0.05）， and a significant reduction in the protein expression level of tumor necrosis factor-α （P<0.01）. Sirius Red collagen staining and alpha-smooth muscle actin （α-SMA） immunohistochemical staining showed that compared with the model group， all cell treatment groups had significant alleviation of liver collagen deposition and α-SMA-positive area， with the most significant changes in the M1-BMDM^Wnt5a-KD group， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significantly smaller Sirius Red-positive area and α-SMA-positive area and a significantly lower content of hydroxyproline in liver tissue （all P<0.05）. Compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant reductions in the protein and mRNA expression levels of α-SMA and the mRNA expression level of COL-I and TGF-β （all P<0.05）. Compared with the model group， all cell treatment groups had a significant increase in the protein expression level of HNF-4α in liver tissue （all P<0.05）， and the M1-BMDM^Wnt5a-KD group had significantly higher protein and mRNA expression levels of HNF-4α and hepatocyte specific antigen than the M1-BMDM^KD-EV group （both P<0.05）. The M1-BMDM^Wnt5a-KD group had a significantly higher serum level of albumin than the M1-BMDM^KD-EV group （P<0.01）. Immunofluorescence co-staining showed that compared with the model group， all cell treatment groups had a significant increase in the number of cells stained positive for HNF and HNF-4α and Ki67 （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly higher number of such cells than the M1-BMDM^KD-EV group （P<0.05）. ConclusionInhibition of Wnt5a expression enhances the therapeutic effect of M1-BMDM on rats with liver cirrhosis induced by CCl₄/2-AAF， which provides new ideas for enhancing the anti-cirrhotic effect of M1-BMDM through genetic modification.

Objective: To analyze the one year follow up changes and influencing factors of anisometropia among primary school students in Beihai, so as to provide data support for formulating targeted prevention and control strategies. Methods: In 2023 and 2024, visual acuity and refractive screening were conducted on primary school students in Beihai. A cohort matching method was used based on unique identifiers to link data from 2023 (baseline) Grades one to five with those from 2024 (follow up) Grades two to six, obtaining a total of 59 743 complete datasets. McNemar test and generalized estimating equations(GEE) model were employed to analyze the changing patterns of anisometropia. Results: The detection rate of anisometropia among primary school students in Beihai increased from 10.88% in 2023 to 12.30% in 2024 ( χ 2=97.12, P <0.01). Among them, the detection rate in Grade 1 decreased from 8.82% in 2023 to 7.50% in 2024, Grade 3 increased from 10.15% to 11.52%, Grade 4 increased from 12.10 % to 15.22%, Grade 5 increased from 14.61% to 17.88% ( χ 2=16.51,18.03,95.52,95.95,all P <0.05). The GEE results showed that the risk of anisometropia development was higher in girls than in boys ( OR =1.15), the risk of anisometropia increased by 16% with each 1 year increment in age ( OR =1.16) among primary school students, the risk of anisometropia development in Grade 5 was 2.20 times higher than that in Grade 1 ( OR =2.20)(all P <0.05). In lower grades, only the baseline anisometropia status in lower grades had a statistically significant effect on anisometropia among primary school students( OR =59.09), while the positive effects of gender and age difference gradually emerged and strengthened in middle and higher grades (all P ＜0.05). Conclusions The detection rate of anisometropia among primary school students in Beihai shows dynamic changes and influencing factors vary by grade level. It is necessary to develop stratified prevention and control strategies tailored to different grades.

OBJECTIVE To investigate the clinical characteristics of euglycemic diabetic ketoacidosis （euDKA） induced by empagliflozin， and provide references for safe medication. METHODS Case reports of euDKA induced by empagliflozin were retrieved and analyzed from PubMed， Web of Science， CNKI， and Wanfang Data. The Naranjo’s scale was adopted to assess the causal relationship between empagliflozin and euDKA. RESULTS A total of 29 patients were enrolled， including 16 males and 13 females，with a median age of 58 years. All patients were diagnosed with type 2 diabetes mellitus； 22 patients had at least one comorbidity. The median time to euDKA onset was 60 days after administration， and 7 cases occurred within 2 weeks of treatment. Perioperative periods，fasting，and low-carbohydrate or ketogenic diets were the main predisposing factors. Common presentations included nausea，vomiting， fatigue， tachypnea，and tachycardia. The causal relationship between empagliflozin and euDKA was assessed as “probable” in all cases. According to adverse reaction severity grading， 13 cases were grade 3 （severe） and 16 cases were grade 4 （life-threatening）. All patients discontinued empagliflozin and recovered after corresponding treatment. CONCLUSIONS euDKA is a serious adverse reaction to empagliflozin， which mostly occurs early in treatment. Perioperative periods， fasting， and ketogenic diets are prone to induce euDKA. Elderly patients and those with comorbidities are at higher risk. Risk assessment should be conducted before clinical administration； blood ketones and acid-base monitoring should be strengthened in the early medication period； withhold the drug before elective surgery， avoid prolonged fasting；upon diagnosis， discontinue empagliflozin and initiate intravenous insulin， provide fluid resuscitation promptly， and use other treatments to improve patient prognosis.

Objective To explore the independent risk factors for early failure of internal mammary artery grafts after coronary artery bypass grafting (CABG), and to construct and preliminarily evaluate a risk prediction model for the decline of internal mammary artery bridges, optimizing postoperative risk stratification and management strategies for patients. Methods Patients who underwent CABG at Fuwai Hospital, Chinese Academy of Medical Sciences from January 2016 to January 2020 were retrospectively enrolled. The primary endpoint was the failure of the internal mammary artery bridge one year after surgery, and the secondary endpoint was major adverse cardiac and cerebrovascular events (MACCE) within five years after surgery, including all-cause death, myocardial infarction, stroke, and revascularization. Patients were divided into a failure group and a non-failure group based on whether there was early failure of the internal mammary artery bridge after surgery. Independent risk factors for the failure of the internal mammary artery bridge were explored through the least absolute shrinkage and selection operator regression and multivariate logistic regression, and a failure risk prediction model was constructed and cross-validated. Patients were stratified for MACCE risk according to the total score of independent risk factors, and the 5-year cumulative MACCE-free rate was drawn using the Kaplan-Meier method. Results A total of 657 patients were included, among whom there were 54 patients in the failure group, including 38 males and 16 females, with an average age of (61.85±8.03) years; there were 603 patients in the non-failure group, including 467 males and 136 females, with an average age of (60.45±8.23) years. Multivariate logistic regression analysis showed that non-left main lesion [OR=3.28, 95%CI (1.41, 7.62), P=0.006], pulsatility index (PI)>3.0 [OR=2.63, 95%CI (1.20, 5.75), P=0.016], quantitative flow ratio (QFR)>0.80 [OR=5.57, 95%CI (2.98, 10.41), P<0.001] and in-hospital complications [OR=4.02, 95%CI (1.59, 10.19), P=0.003] were independent risk factors for the failure of internal mammary artery grafts after CABG. Compared with the prediction model in previous literature [area under receiver operating characteristic curve was 0.632, 95%CI (0.588, 0.688)], the risk prediction model constructed with QFR>0.80, PI>3.0, non-left main lesion and in-hospital complications had a higher predictive ability for early failure of internal mammary artery grafts [area under curve: 0.758, 95%CI (0.707, 0.817); net reclassification index: 0.272, 95%CI (0.180, 0.370); comprehensive discriminative improvement index: 0.109, 95%CI (0.059, 0.158); P<0.05]. The risk score of independent risk factors for internal mammary artery graft failure demonstrated significant MACCE risk stratification efficiency in the 5-year patient follow-up, with the high-risk group showing a significantly higher incidence of MACCE compared to the medium and low-risk groups (P=0.001). Conclusion QFR>0.80, PI>3.0, non-left main lesions, and in-hospital complications are independent risk factors for early failure of internal mammary artery grafts after CABG. The constructed risk prediction model based on this has preliminary capabilities in predicting the risk of internal mammary artery graft failure and MACCE risk stratification, which is beneficial for the postoperative management of CABG patients and improving their mid-long term prognosis.

The study was a prospective observational study. A total of 24 patients who underwent maintenance hemodialysis (MHD) at Haidian Hospital in Beijing from May 2024 to June 2024 were included as the study subjects. The safety and efficacy of a new single-needle dialysis in MHD patients were evaluated. The reasons for using single-needle dialysis included waiting for the maturity of internal fistula(7 cases, 29.17%), autogenous arteriovenous fistula thrombosis occurred (6 cases, 25.00%), puncture difficulty occurred (7 cases, 29.17%), and pain sensitivity or elderly (4 cases, 16.67%). The results showed that the average blood flow was (155.65±5.90) ml/min, total blood volume was (35.92±2.65) L during single-needle dialysis. One patient had slight puncture leakage, and the puncture success rate was 95.83%. Relevant indicators of dialysis adequacy showed that the average urea clearance (Kt/V) was 0.90±0.42, urea reduction ratio was 58.31%±7.93%, and online real-time Kt/V monitoring average value was 0.98±0.55. The results suggest that the application of the new improved single-needle dialysis mode in MHD patients is safe and effective.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Evidence-based public health, as the forefront of modern public health practice, has increasingly important in public health field. However, a significant gap remains between the available evidence and its practical application. Effectively disseminating and implementing evidence-based public health practice in real-world settings has become a key challenge in contemporary public health research. In this context, Implementation Science has emerged as a vital discipline. This paper explores the critical role of Implementation Science in public health, reviews the origins and core components of the Consolidated Framework for Implementation Research (CFIR), and analyzes the current application of CFIR in public health through bibliometric methods. Additionally, it discusses specific examples to further elucidate the steps involved in using the CFIR and its application contexts. The findings indicate that since 2015, research on CFIR in public health has progressively increased, showing a continuous upward trend. CFIR applications mainly address context-specific facilitators, health decision-making, barrier and facilitator identification, and community-based participatory evaluation, predominantly employing qualitative and mixed-methods research. This paper not only reviews and analyzes the current use of CFIR in public health but also provides a detailed discussion on its application. The goal is to offer valuable insights for the development of Implementation Science research within China's public health sector.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.

Objective To explore the effect of repetitive transcranial magnetic stimulation(rTMS)on the sleep disorder and examination results of recruits.Methods At a training base,the Pittsburgh Sleep Quality Index(PSQI)was used to screen the recruits with sleep disorders(total score of PSQI>7).The recruits were randomly assigned to rTMS group or sham rTMS group.Both groups received cognitive and behavioral intervention therapy,including sleep health education and relaxation training.Moreover,the rTMS group was treated with rTMS at the right posterior parietal lobe by continuous theta burst stimulation(cTBS)twice a day at an interval of at least 50 min for 5 consecutive days as a course of treatment with an interval of 2 days for a total of 2 courses of treatment.The coil position and stimulus intensity of sham rTMS group were consistent with the rTMS group,but the head of subjects was perpendicular to the coil plane and there was no effective stimulation.Before and after treatment,PSQI,self-rating depression scale,generalized anxiety disorder-7 and health questionnaire-15 were used to evaluate the sleep,mood and physical state of the recruits.The training result was assessed one month after treatment.The total effective rate of PSQI improvement and examination results were compared between the two groups.The independent influencing factors of excellent examination result were analyzed.Results Among 351 recruits,83 with sleep disorders completed treatment and follow-up.There were 40 patients in the rTMS group and 43 patients in the sham rTMS group.There was no significant difference between the two groups at baseline.After treatment,the total effective rate of PSQI improvement in the rTMS group was higher than that in the sham rTMS group(77.50%vs 53.49%,P=0.022).The average examination score and excellent rate of the rTMS group were higher than those of the sham rTMS group(91.58±3.19 vs 89.47±4.67,P=0.020;85%vs 65.12%,P=0.037).Logistic regression analysis showed that the treatment mode(rTMS group)was the independent influencing factor of excellent examination results(P=0.032).Conclusion rTMS can effectively and safely improve the sleep disorders and examination results of recruits.rTMS may play a positive role in improving the learning and training effect of recruits,which needs to be further proved.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.