Objective: To analyze the prevalence status and clustering patterns of risk factors for chronic diseases among adult residents in Rui' an City, Zhejiang Province, so as to provide a basis for formulating strategies for the prevention and control of chronic diseases and implementing risk factor interventions. Methods: A multi-stage random cluster sampling method was used to select residents aged ≥18 years in 5 townships (sub-districts) of Rui' an City as survey subjects from December 2023 to March 2024. Data on basic information, history of major chronic diseases, lifestyle behaviors, height, weight, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. Descriptive analysis was used to analyze the prevalence status of 5 risk factors for chronic diseases. K-means clustering analysis was used to analyze clustering patterns. Results: A total of 3 060 people were surveyed, including 1 476 males, accounting for 48.24%, and 1 584 females, accounting for 51.76%. The median age was 49.00 (interquartile range, 25.00) years. There were 1 275 cases (41.67%) of hypertension, 462 cases (15.10%) of diabetes, and 1 460 cases (47.71%) of dyslipidemia. Insufficient fruit and vegetable intake, excessive salt intake, overweight and obesity, excessive red meat intake, and smoking involved 2 201, 1 878, 1 541, 1 337, and 571 people, with prevalences of 71.93%, 61.37%, 50.36%, 43.69%, and 18.66%, respectively. K-means clustering analysis identified 4 clustering patterns: smoking-insufficient fruit and vegetable intake type (249 people, accounting for 8.20%), low intake type (1 421 people, accounting for 46.75%). high red meat type (245 people, accounting for 8.07%), and high BMI-high salt type (1 118 people, accounting for 36.96%). The prevalences of hypertension and diabetes were higher in adult residents of the high BMI-high salt type, at 56.53% and 20.30%, respectively. The prevalence of dyslipidemia was higher in adult residents of the smoking-insufficient fruit and vegetable intake type, at 59.44%. Conclusions The prevalence of insufficient fruit and vegetable intake among adult residents in Rui' an City is relatively high. The clustering pattern of chronic disease risk factors is dominated by the low intake type. The prevalence of chronic diseases is higher in adult residents of the high BMI-high salt type and smoking-insufficient fruit and vegetable intake type. It is suggested to carry out health education and collaborative intervention of risk factors for different risk groups.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

Objective This study aims to investigate controversial cases of forensic clinical re-identification of fractures,exploring the characteristics,causes,and countermeasures related to identification errors in primary bone injuries,complications,and subsequent changes.The goal is to provide identification strategies for similar cases regarding the collection of identification materials,timing,and examination method selection,ultimately establishing a paradigm for such identifications.Methods A total of 103 cases of clinical re-identification of fractures accepted by the West China Forensic Identification Center from 2020 to 2024 were collected,and the data from initial identifications and re-identifications were retrospectively analyzed.Results Male cases accounted for 69.90%of the re-identifications,with disability grade(67.96%)and injury degree(30.10%)being the primary concerns.Individual requests represented a high proportion(92.86%)in the initial assessment of disability levels,while unit or joint requests dominated the re-assessment(92.86%).The agreement rates for disability grade and injury degree were 55.26%and 59.38%,respectively.The reassessment of disability grades primarily involved fractures of limb long bones,spine,and ribs,with 75.53%of opinions resulting in downgraded disability levels.Rib,orbital,and nasal bone fractures were the main focus in injury degree reassessments,with 84.62%of opinions indicating aggravated injuries.The consistency rates for fracture identification in disability grade assessments was 92.21%,while rates for injury degree and sequelae were 65.63%and 48.94%,respectively.Inconsistencies in identifying damage facts—including the presence of fractures,distinguishing between fresh and old fractures,and determining the nature of fractures and sequelae—were primarily noted in rib,orbital,and nasal bone fractures.The utilization rate of CT metadata in initial evaluations(25.00%)was significantly lower than in re-evaluations(95.00%).The identification time for joint mobility dysfunction after fracture in re-identifications was significantly longer than in initial identifications(P=0.0002),and the identification time for cases with agreement was significantly shorter than for cases with disagreement(P=0.036).Conclusion Image data type and identification timing are critical factors that may influence the accuracy and consistency of forensic clinical identification of bone injuries.When necessary,dynamic CT metadata in conjunction with image post-processing technology can be routinely employed to identify fractures of the ribs,orbital bones,or nasal bones,thereby reducing the risk of misidentification.

Objective:To summarized the clinical characteristics of intracranial germ cell tumors（iGCTs）in children, with the ultimate goal of facilitating early tumor identification and guiding the prompt selection of appropriate treatment strategies.Methods:A retrospective analysis was conducted on pediatric patients with primary iGCTs admitted to Beijing Tiantan Hospital Affiliated to Capital Medical University between March 2021 and June 2022. Patient age, gender, clinical manifestations, tumor marker levels in cerebrospinal fluid (CSF) and blood, imaging features, and histopathological examination results were meticulously collected and statistically analyzed.Results:A total of 126 pediatric patients with iGCTs were included in the study, of which 86 cases (68.3%) were male,and 40 cases (31.7%) were female.The average age was (10.0 ± 3.5) years old. The mean age of onset was found between 6~14 years old(80.1%), with a male-to-female ratio of 2.2:1.The tumors were predominantly located in the sellar region (30.2%), basal ganglia (23.8%), and pineal region (19.8%). Notably, there were distinct differences in tumor location across different age groups: pineal region tumors were most prevalent in preschool children (71.4%), basal ganglia tumors were more common in school-age children (41.9%), and sellar region involvement was highest among adolescent patients(44.8%). Based on molecular marker analysis and biopsy diagnosis, 79 cases were classified as germinoma, 3 as teratoma, 2 as yolk sac tumor, 1 as choriocarcinoma, and 41 as mixed germinoma.All children underwent head CT and MRI examinations. Among them, 99 cases showed high-density lesions on CT,while 27 cases showed mixed density,including 39 cases of calcification and 35 cases of hydrocephalus.MRI revealed atrophy of the cerebral peduncle, caudate nucleus head, or cerebral cortex in 38 cases, involvement of the basal ganglia in 33 cases, and midbrain involvement in 5 cases.Blood β-human chorionic gonadotropin (β-HCG) and alpha-fetoprotein (AFP) levels were examined in all patients, while CSF tumor marker levels were analyzed in 103 cases. There were 76 cases with elevated β-HCG in blood and/or cerebrospinal fluid, and 24 cases with elevated AFP in blood and/or CSF.Additionally, all 86 male patients underwent genital ultrasound, revealed testicular microlithiasis in 12 cases and testicular cysts in 6 cases.Conclusion:The clinical presentation of iGCTs in pediatric patients exhibits significant heterogeneity in terms of epidemiology, classification, tumor location, and molecular markers. Notably, CSF β-HCG and AFP levels are equally crucial diagnostic indicators alongside blood tumor markers.Histological examination should be performed as early as possible in clinically suspected cases with negative tumor markers. Clinicians should remain vigilant for early imaging negative potential cases. In addition, male children with testicular microlithiasis or cysts should be closely followed up.

BACKGROUND:Enhancing the differentiation of induced pluripotent stem cells into lung stem cells is crucial for repairing lung injuries.NKX2.1 is the earliest marker of lung epithelial differentiation and plays a significant regulatory role in lung development.However,the impact of its expression on the differentiation of induced pluripotent stem cells into lung stem cells remains inadequately understood.OBJECTIVE:To investigate the effect of NKX2.1 on the differentiation of induced pluripotent stem cells into lung stem cells.METHODS:Induced pluripotent stem cells were cultured in vitro.The expression of specific pluripotent stem cell genes was assessed using real-time fluorescence quantitative PCR.NKX2.1 was overexpressed in induced pluripotent stem cells,which were then induced to differentiate into lung stem cells.The expression of FoxA2,SOX9,and P63 was determined via quantitative PCR and immunofluorescence on day 7 of induction of differentiation.The expression of the alveolar marker SPB and SPC was evaluated through immunofluorescence staining on day 7 of induction of differentiation.RESULTS AND CONCLUSION:(1)Induced pluripotent stem cells in vitro were tightly packed and showed typical clonoid growth and significantly expressed stem cell-specific genes OCT-4,SOX2,and NANOG.(2)Compared with the non-transfected control group,the expression of NKX2.1 in human induced pluripotent stem cells was significantly increased in the NKX2.1 overexpression group(P＜0.000 1).(3)Seven days after induction of differentiation,compared with the non-transfected control group,the expression of lung stem cell-related markers FoxA2,SOX9,and P63 was significantly increased in the NKX2.1 overexpression group(P＜0.000 1).(4)Thirteen days after induction of differentiation,compared with the non-transfected control group,the fluorescence intensity of alveolar cell marker molecules SPB and SPC increased significantly in the overexpression NKX2.1 group.The results show that NKX2.1 can promote the differentiation of induced pluripotent stem cells into lung stem cells.

Objective To assess the predictive value of proprotein convertase subtilisin/kexin type-9(PCSK9)combined with lactic acid(Lac)and Sequential Organ Failure Assessment(SOFA)score in determining the 28-day mortality risk of patients with sepsis.Methods A total of 203 patients with sepsis were followed up for 28 days.Patients were divided into the death group(n=56)and the survival group(n=147)according to the clinical outcome.The general data and clinical indicators were compared between the two groups.The prediction model of 28 day mortality risk of sepsis patients was established by multivariate Logistic regression analysis,and the nomogram of the prediction model visualization was drawn.Results Alanine aminotransferase,serum creatinine,blood urea nitrogen,Lac,PCSK9 and SOFA score were higher in the death group than those in the survival group(P＜0.05),while the hemoglobin level was lower than that in the survival group(P＜0.05).The multivariable Logistic regression analysis identified that elevated levels of Lac(OR=1.197,95％CI:1.019-1.435),PCSK9(OR=1.002,95％CI:1.001-1.003)and SOFA score(OR=1.858,95％CI:1.528-2.340)were independent risk factors for 28-day mortality in patients with sepsis(P＜0.05).Nomogram was developed using these three indicators,and the linear predictor cutoff value was-1.06.Patients were divided into the low-risk group(n=126)and the high-risk group(n=77).The 28-day mortality rates were 4.0％for the low-risk group and 66.2％for the high-risk group.Internal validation showed that the model with these three indicators had good discrimination(C-index=0.924,95％CI:0.881～0.960,P＜0.05),calibration(x2=11.543,P＞0.05)and clinical utility.Conclusion The combination of serum PCSK9,Lac and SOFA scores at admission effectively predicts 28-day mortality risk in sepsis patients.

Objective To quantitatively measure the density of hydroxyapatite(HAP)(water)within lumbar vertebral bodies using the gemstone spectral imaging(GSI)material decomposition technique and to compare and analyze the clinical significance of density variations of HAP(water)in different regions of L1-L3 vertebral bodies.Methods A total of 242 patients who underwent lumbar quantitative computed tomography(QCT)scans via utilizing the GSI technique were selected.Following the scans,the HAP(water)density values in four regions(anterosuperior,posterosuperior,anteroinferior,and posteroinferior)of each L1-L3 vertebral bodies were quantitatively measured using the material decomposition technique.Based on the QCT results,all cases were divided into three groups of normal bone mineral density,osteopenia,and osteoporosis.The distributions of HAP(water)density values in the four regions within each vertebral body were compared and analyzed among the groups.Results In all three groups of patients,the highest HAP(water)density values in the L1-L3 vertebral bodies were all located in the posteroinferior region,followed by the posterosuperior region.In the normal bone mineral density group,the lowest HAP(water)density values was found in the anterosuperior region of the L1 vertebral body.In the osteopenia and osteoporosis groups,the lowest HAP(water)density values was found in the anteroinferior region of the L1-L3 vertebral bodies.Conclusion Significant differences in HAP(water)density are present across different regions within lumbar vertebral bodies,which may be related to the development of vertebral osteoporosis and the location of fractures.

Objective:To explore the diagnostic value of conventional computed tomography(CT)combined with enhanced CT scan in bone metastases.Methods:This study was a retrospective observational study,84 suspected bone metastases patients admitted to our hospital from January 2022 to August 2024 were selected,All patients underwent conventional CT and enhanced CT scan and pathological examination,Using pathological examination results as the"gold standard"for diagnosis.The imaging manifestations of bone metastases using conventional CT combined with enhanced CT scan examination were observed;The detection rate and bone metastases types of conventional CT and enhanced CT scan were analyzed;The bone metastases location in different types of malignant tumors were analyzed;The detection results of bone metastases between conventional CT and enhanced CT scan were compared;the diagnostic efficacy of conventional CT and enhanced CT scan alone and in combination for bone metastases were analyzed by Receiver operating characteristic(ROC)curve.Results:The detection rate of osteogenic,osteolytic,cystic and mixed bone metastases by conventional CT combined with enhanced CT scan was supered to that of conventional CT and enhanced CT scan alone(P＜0.05).Bone metastases from lung cancer,breast cancer and other tumors mainly occur in the spine,limbs and ribs,while esophageal cancer,gastric cancer,liver cancer,prostate cancer,thyroid cancer,renal cancer,and nasopharyngeal cancer had relatively fewer bone metastases.The positive detection cases of bone metastases used conventional CT combined with enhanced CT scan were supered to those used conventional CT and enhanced CT scan alone.The sensitivity,specificity and accuracy of conventional CT combined with enhanced CT scan for the diagnosis of bone metastases were 94.00％,94.11％and 94.04％,respectively,and the positive/negative predictive values were 95.91％and 91.42％,respectively.The sensitivity,specificity and accuracy of conventional CT scan were 84.00％,78.78％and 80.95％,respectively,and the positive/negative predictive values were 85.71％and 74.28％,respectively.The sensitivity,specificity and accuracy of enhanced CT were 89.79％,85.71％and 88.09％,respectively.and the positive and negative predictive values were 89.79％and 85.71％,respectively.The diagnostic efficacy of conventional CT combined with enhanced CT scan for bone metastases was significantly better than that of conventional CT and enhanced CT scan alone.Conclusions:Conventional CT combined with enhanced CT scan can significantly improve the diagnostic efficiency of bone metastases,and provide an important basis for clinical treatment.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.