The development of atherosclerosis （AS） is closely associated with endothelial dysfunction and mitochondrial metabolic abnormalities. These alterations are fundamentally characterized by metabolic reprogramming， in which the tricarboxylic acid （TCA） cycle serves as a central regulatory hub. Disruption of the homeostasis of TCA cycle intermediates， including succinate， α -ketoglutarate， and itaconate， contributes to AS progression through multiple mechanisms， such as the modulation of oxidative stress， inflammation， and glucose and lipid metabolic networks. Owing to their multi-target and multi-pathway regulatory properties， bioactive compounds derived from traditional Chinese medicine （TCM） have demonstrated unique advantages in correcting metabolic dysregulation. Flavonoids， glycosides， and other bioactive constituents of TCM can target key enzymes and metabolites involved in the TCA cycle， thereby restoring aberrant metabolic reprogramming， alleviating endothelial injury induced by oxidative stress， inflammation， and glucose and lipid metabolic disorders， ultimately improving metabolic homeostasis and attenuating the progression of AS.

The development of atherosclerosis （AS） is closely associated with endothelial dysfunction and mitochondrial metabolic abnormalities. These alterations are fundamentally characterized by metabolic reprogramming， in which the tricarboxylic acid （TCA） cycle serves as a central regulatory hub. Disruption of the homeostasis of TCA cycle intermediates， including succinate， α -ketoglutarate， and itaconate， contributes to AS progression through multiple mechanisms， such as the modulation of oxidative stress， inflammation， and glucose and lipid metabolic networks. Owing to their multi-target and multi-pathway regulatory properties， bioactive compounds derived from traditional Chinese medicine （TCM） have demonstrated unique advantages in correcting metabolic dysregulation. Flavonoids， glycosides， and other bioactive constituents of TCM can target key enzymes and metabolites involved in the TCA cycle， thereby restoring aberrant metabolic reprogramming， alleviating endothelial injury induced by oxidative stress， inflammation， and glucose and lipid metabolic disorders， ultimately improving metabolic homeostasis and attenuating the progression of AS.

Lung cancer has the highest mortality rate among malignant tumors worldwide, posing a severe threat to human health. Traditional Chinese medicine (TCM) offers unique advantages in treating lung cancer, with disease-syndrome-integrated animal models serving as a critical component of TCM lung cancer research. According to TCM pathogenesis, lung cancer is classified as a pattern of underlying deficiency with superficial excess. Clinically, it is often categorized into syndromes such as qi and yin deficiency, lung-spleen qi deficiency, lung yin deficiency, qi stagnation and blood stasis, and phlegm-heat obstructing the lungs. Treatment should fundamentally adhere to the principle of "strengthening the healthy qi and expelling pathogenic factors". This paper systematically reviews literature from 2005 to 2025 on disease-syndrome-integrated animal models for lung cancer. It summarizes the theoretical basis and establishment methods of four core disease-syndrome-integrated models: qi-yin deficiency pattern, spleen qi deficiency pattern, qi stagnation and blood stasis pattern, and kidney deficiency pattern. Further discussion covers their evaluation systems and limitations. Additionally, modeling approaches for other patterns including yang deficiency, spleen deficiency, and qi deficiency with blood stasis are summarized, with evaluation methods categorized by behavioral characteristics and biochemical indicators. Analysis reveals that current models predominantly use C57BL/6 mice, exhibiting issues such as insufficient clinical relevance, complex modeling procedures, numerous confounding factors, and a low degree of standardization. Future improvements to disease-syndrome-integrated lung cancer animal models could include using clustered regularly interspaced short palindromic repeats (CRISPR) technology to establish organoid–patient-derived xenograft models; developing controllable composite stress systems and standardized stimulus models, such as gradient-controlled alternating cold/heat chambers and programmed dietary regulation systems, to reduce nonspecific interference; and developing multidimensional dynamic modeling techniques by integrating clinical big data, including metabolomics and imaging features, to design dynamic intervention protocols, thereby providing more precise and reliable experimental tools for elucidating the mechanisms of TCM in lung cancer prevention and treatment.

Abstract The cooccurrence of multi disease among children and adolescents has become increasingly prominent, necessitating a shift from "single disease separate treatment" to "multi disease co prevention". Focusing on four common health problems in children and adolescents, namely, myopia, depression, overweight/obesity, and spinal abnormalities, the paper systematically reviews the association between four categories of factors, society, environment, family, and individual behavior, and the co occurrence of the aforementioned health problems. The findings indicate that particulate matter 2.5 exposure, light at night, physical inactivity, excessive screen time, and unhealthy diet constitute the primary cross dimensional risk network. Based on these findings, the paper proposes a collaborative action framework involving family, school, and society, emphasizing systematic strategies ranging from upstream environmental governance to downstream behavioral intervention, so as to provide evidence for the practice and policy making of multi disease co-prevention in children and adolescents.

Objectives:To analyze the risk factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy(NOHCM)and explore the relationship between left ventricular/atrial volume and atrial fibrillation.Methods:Consecutive NOHCM patients admitted at Fuwai Hospital from January 2023 to January 2024 with complete clinical data,satisfactory echocardiography imaging data were included in this analysis,patients were divided into atrial fibrillation group(n=28)and non-atrial fibrillation group(n=57).Left-sided volumetric and functional parameters were measured by one-beat real-time full-volume three-dimensional echocardiography,including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left atrial volume(LAV).The left ventricular end-diastolic volume(LVEDVi)index,left ventricular end-systolic volume index(LVESVi)and left atrial volume index(LAVi)were calculated.Other echocardiographic parameters including interventricular septum(IVSmax)thickness,left ventricular posterior wall thickness(LVPW),and left atrial diameter(LAD)were routinely measured.Mitral valve forward flow spectrum,tissue Doppler,tricuspid regurgitation velocity,and left atrial size were used to evaluate the left ventricular diastolic function of patients,and diastolic dysfunction was classified into grade I,II,and III.Multivariate logistic regression was used to analyze the influencing factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy Results:Compared with the non-atrial fibrillation group,LVEDV([143.8±26.7]ml vs.[117.1±21.9]ml)and LVEDVi([79.4±11.9]ml/m2 vs.[64.2±10.6]ml/m2)were smaller in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,LAD([40.2±4.7]mm vs.[48.6±4.8]mm)and LAVi([37.3±8.9]ml/m2 vs.[64.4±17.1]ml/m2)were lager in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,the proportion of NYHA functional classification≥Ⅲ was higher(15.8%vs.50.0%,P<0.001),LVEF was lower([61.5±5.5]%vs.[57.6±5.0]%,P=0.002),and proportion of severe diastolic dysfunction was higher in atrial fibrillation group(P<0.001).Logistic regression analysis showed that the factors associated with atrial fibrillation in NOHCM patients were LVEDVi(OR=0.744,95%CI:0.575-0.962,P=0.024)and LAVi(OR=1.602,95%CI:1.032-2.486,P=0.036).Conclusions:LVEDVi and LAVi are related factors for atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy.LVEDVi is negatively,while LAVi is positively associated with the occurrence of atrial fibrillation in NOHCM patients.

Objective:To investigate the current status of knowledge, attitude, and practice in career planning among medical students and its influencing factors, and to facilitate the education of medical career planning.Methods:The convenience sampling method was used to distribute a self-made questionnaire, and related data were gathered from 295 medical students in Wuhan, China. SPSS 26.0 was used to perform analyses of related categorical variables, including descriptive statistics, univariate tests, rank-sum tests, and the binary logistic regression analysis.Results:The results showed that the medical students with good performance of career planning knowledge, attitude, and practice accounted for 68.48%, 87.12%, and 54.92%, respectively. Major, grade, professional satisfaction, and professional learning objectives were influencing factors for career planning knowledge among the medical students ( P<0.05); the intention for laboratory participation, the basis for major selection, and professional learning objectives were influencing factors for career planning attitude ( P<0.05); grade, internship experience, and professional learning objectives were influencing factors for career planning practice ( P<0.05). Conclusions:Related measures should be adopted to strengthen career planning education for medical talents, such as perfecting the whole-process and multi-agent career planning guidance system, stimulating the enthusiasm of students, and clarifying professional learning objectives.

Objectives:To analyze the risk factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy(NOHCM)and explore the relationship between left ventricular/atrial volume and atrial fibrillation.Methods:Consecutive NOHCM patients admitted at Fuwai Hospital from January 2023 to January 2024 with complete clinical data,satisfactory echocardiography imaging data were included in this analysis,patients were divided into atrial fibrillation group(n=28)and non-atrial fibrillation group(n=57).Left-sided volumetric and functional parameters were measured by one-beat real-time full-volume three-dimensional echocardiography,including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left atrial volume(LAV).The left ventricular end-diastolic volume(LVEDVi)index,left ventricular end-systolic volume index(LVESVi)and left atrial volume index(LAVi)were calculated.Other echocardiographic parameters including interventricular septum(IVSmax)thickness,left ventricular posterior wall thickness(LVPW),and left atrial diameter(LAD)were routinely measured.Mitral valve forward flow spectrum,tissue Doppler,tricuspid regurgitation velocity,and left atrial size were used to evaluate the left ventricular diastolic function of patients,and diastolic dysfunction was classified into grade I,II,and III.Multivariate logistic regression was used to analyze the influencing factors of atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy Results:Compared with the non-atrial fibrillation group,LVEDV([143.8±26.7]ml vs.[117.1±21.9]ml)and LVEDVi([79.4±11.9]ml/m2 vs.[64.2±10.6]ml/m2)were smaller in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,LAD([40.2±4.7]mm vs.[48.6±4.8]mm)and LAVi([37.3±8.9]ml/m2 vs.[64.4±17.1]ml/m2)were lager in atrial fibrillation group(both P<0.001).Compared with the non-atrial fibrillation group,the proportion of NYHA functional classification≥Ⅲ was higher(15.8%vs.50.0%,P<0.001),LVEF was lower([61.5±5.5]%vs.[57.6±5.0]%,P=0.002),and proportion of severe diastolic dysfunction was higher in atrial fibrillation group(P<0.001).Logistic regression analysis showed that the factors associated with atrial fibrillation in NOHCM patients were LVEDVi(OR=0.744,95%CI:0.575-0.962,P=0.024)and LAVi(OR=1.602,95%CI:1.032-2.486,P=0.036).Conclusions:LVEDVi and LAVi are related factors for atrial fibrillation in patients with non-obstructive hypertrophic cardiomyopathy.LVEDVi is negatively,while LAVi is positively associated with the occurrence of atrial fibrillation in NOHCM patients.

Objective To analyze the performances of electronic portal imaging device (EPID) in mechanical and dosimetry responses,and to investigate the feasibility of adopting EPID as a daily quality assurance (QA) equipment. Methods The EPID of Trilogy linear accelerator was tested for mechanical position repeatability and dose linear response. Then,a group of special fields were edited manually for simulations of field translation and symmetry deviations,and the sensitivities of EPID and MyQA Daily to field translation and symmetry deviations were evaluated,and moreover,the linear correlation between the set value and the measured value was analyzed. Finally,daily QA was conducted with EPID and MyQA Daily for 30 consecutive days,and the measurement results and time consumption were analyzed. Results The maximum deviation of EPID position repeatability was 0.4 mm,and the dose response was linearly correlated (R2>0.999). The symmetry deviation test results showed that both of EPID and MyQA Daily were capable to effectively detect the 0.2％ offset in symmetry,and a linear correlation was demonstrated between the set value and the measured results (R2>0.995). In translation test,the linear correlation of EPID was more explicit than that of MyQA Daily (R2=0.992 vs R2=0.976). In daily QA,all the measured results of EPID and MyQA Daily were within the clinic acceptance tolerance. Moreover,the mean value of Y-directional symmetry and flatness measured by EPID was approximately 1.00％ larger than MyQA Daily. The average time required by EPID was 50 s less than MyQA Daily[(129.97±4.16) s vs (184.53±4.23) s]. Conclusion EPID can be served as a reliable and efficient daily QA equipment for linear accelerator. However,it is not capable to be used as a criterion for evaluating linear accelerator performance.

Objective:To investigate the current status of knowledge, attitude, and practice in career planning among medical students and its influencing factors, and to facilitate the education of medical career planning.Methods:The convenience sampling method was used to distribute a self-made questionnaire, and related data were gathered from 295 medical students in Wuhan, China. SPSS 26.0 was used to perform analyses of related categorical variables, including descriptive statistics, univariate tests, rank-sum tests, and the binary logistic regression analysis.Results:The results showed that the medical students with good performance of career planning knowledge, attitude, and practice accounted for 68.48%, 87.12%, and 54.92%, respectively. Major, grade, professional satisfaction, and professional learning objectives were influencing factors for career planning knowledge among the medical students ( P<0.05); the intention for laboratory participation, the basis for major selection, and professional learning objectives were influencing factors for career planning attitude ( P<0.05); grade, internship experience, and professional learning objectives were influencing factors for career planning practice ( P<0.05). Conclusions:Related measures should be adopted to strengthen career planning education for medical talents, such as perfecting the whole-process and multi-agent career planning guidance system, stimulating the enthusiasm of students, and clarifying professional learning objectives.

Objective:To investigate the value of quantitative parameters of dual-layer detector spectral CT (DLCT) in preoperative prediction of lymphovascular invasion (LVI) in invasive lung adenocarcinoma.Methods:This study employed a cross-sectional design. The data of 91 patients with primary lung adenocarcinoma confirmed by postoperative pathology who underwent DLCT enhanced scanning in the First Affiliated Hospital of Zhengzhou University from March 2022 to July 2024 were retrospectively collected. The patients were divided into LVI positive group and LVI negative group according to the postoperative pathology. Gender, age, smoking status, and lesion location were recorded,the clinical T-stage and N-stage were evaluated. Spectral base data images were generated based on the spectral reconstruction algorithm. Conventional CT features such as the size and density of the lesions were analyzed. The DLCT quantitative parameters such as 40 keV single-energy CT value (CT 40 keV), iodine density (ID), standardized iodine density (NID), and effective atomic number (Z eff) were measured. The differences of parameters between the two groups were compared using t-test, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analysis was used to identify independent factors for predicting invasive lung adenocarcinoma LVI. The predictive performance of individual parameters and their combinations for LVI in invasive lung adenocarcinoma was evaluated using receiver operating characteristic curve analysis and area under the curve (AUC) measurements. Results:There were significant differences in age, T stage, N stage, maximum diameter, focal density, and arteriovenous stage NID and Z eff between the LVI positive group and the LVI negative group ( P<0.05). Multiple logistic regression analysis showed that age ( OR=0.890, 95% CI 0.821-0.966), N stage( OR=12.721, 95% CI 2.676-60.473) and venous stage Z eff( OR=0.012,95% CI 0-0.668) were independent factors for predicting invasive lung adenocarcinoma LVI ( P<0.05). The combination of age, N stage, and venous-phase Z eff values demonstrated the highest predictive efficacy for LVI in invasive lung adenocarcinoma, with an AUC of 0.916. Conclusions:The quantitative parameters of DLCT are helpful for preoperative prediction of LVI status of invasive lung adenocarcinoma. The Z eff in the venous stage is an independent predictor, the combination of multiple parameters can further improve the diagnostic efficiency.