Objective To understand the driver gene mutation status in patients with non-small cell lung cancer (NSCLC) in Xi'an City, and to analyze the association with environmental exposure factors. Methods A total of 305 NSCLC patients admitted to the First Affiliated Hospital of the Air Force Medical University from January 2019 to December 2023 were included. The driver gene mutation status was observed, and the relationship with environmental exposure factors was analyzed. Results The driver gene mutation rate of 305 patients was 46.89%, with EGFR gene mutation accounting for the highest proportion, and 4 cases of gene co-mutations were detected. There was a difference in gender among patients with different single drive gene mutations (P<0.05), and the proportion of EGFR in women was significantly higher (P<0.05). Univariate analysis showed that there were statistical differences in family history, smoking history, long-term cooking history, and fried smoked food intake between patients with driver gene mutation and patients without driver gene mutation (P<0.05). Logistic regression analysis suggested that long-term cooking history (OR=2.392), and fried smoked food intake (OR=2.849) were the environmental exposure factors affecting EGFR gene mutation (P<0.05), and smoking history (OR=1.377) was an environmental exposure factor of KRAS gene mutation (P<0.05). Conclusion EGFR gene mutation accounts for the highest proportion of NSCLC patients in Xi'an City, and is mainly female. Long-term cooking history, and fried smoked food intake are related to EGFR gene mutation. There is a certain association between smoking history and KRAS gene mutation.

Objective To explore the effect of community pharmacy outpatient service on patients with type 2 diabetes mellitus. Methods A non-randomized controlled study was conducted, and type 2 diabetes patients managed in the community were divided into an intervention group of 112 cases and a control group of 110 cases. The control group received routine medication guidance during general practice outpatient visits, while the intervention group received comprehensive pharmacy outpatient service intervention based on routine medication guidance in general practice. Follow-up visits were conducted every 3 months. Repeated measurement analysis of variance and multivariate linear regression analysis were used to evaluate the intervention effect of the pharmacy outpatient service. Results Fasting blood glucose and glycosylated hemoglobin levels in the intervention group showed a decreasing trend with the increase of intervention time compared to pre-intervention time （P<0.01）, with increased duration of weekly exercise, decreased staple food intake, increased vegetable intake, and increased medication adherence score （P<0.01）. After adjusting for confounding factors through multivariate linear regression model, pharmacy outpatient intervention was found to be an independent protective factor for fasting blood glucose level （β=−0.891, P<0.01） and glycosylated hemoglobin level （β=−0.760, P<0.01） in the study subjects. Conclusion The community pharmacy outpatient service could enhance the self-management ability of patients with type 2 diabetes mellitus, and effectively improve patients’ fasting blood glucose and glycosylated hemoglobin.

OBJECTIVE: To develop an artificial intelligence-assisted system for the automatic detection of the features of common 21 auricular points based on the YOLOv8 neural network. METHODS: A total of 660 human auricular images from three research centers were collected from June 2019 to February 2024. The rectangle boxes and features of images were annotated using the LabelMe5.3.1 tool and converted them into a format compatible with the YOLO model. Using these data, transfer learning and fine-tuning training were conducted on different scales of pretrained YOLO neural network models. The model's performance was evaluated on validation and test sets, including the mean average precision (mAP) at various thresholds, recall rate (recall), frames per second (FPS) and confusion matrices. Finally, the model was deployed on a local computer, and the real-time detection of human auricular images was conducted using a camera. RESULTS: Five different versions of the YOLOv8 key-point detection model were developed, including YOLOv8n, YOLOv8s, YOLOv8m, YOLOv8l, and YOLOv8x. On the validation set, YOLOv8n showed the best performance in terms of speed (225.736 frames per second) and precision (0.998). On the external test set, YOLOv8n achieved the accuracy of 0.991, the sensitivity of 1.0, and the F1 score of 0.995. The localization performance of auricular point features showed the average accuracy of 0.990, the precision of 0.995, and the recall of 0.997 under 50% intersection ration (mAP⁵⁰). CONCLUSION The key-point detection model of 21 common auricular points based on YOLOv8n exhibits the excellent predictive performance, which is capable of rapidly and automatically locating and classifying auricular points.
Humans ; Neural Networks, Computer ; Artificial Intelligence ; Acupuncture Points

In this study, araucarene diterpenes, characterized by a pimarene skeleton with a variably oxidized side chain at C-13, were investigated. A total of 16 araucarene diterpenoids and their derivatives were isolated from the woods of Agathis dammara, including 11 previously unreported compounds: dammaradione (1), dammarones D-G (2, 5, 14, 15), dammaric acids B-F (8-12), and dammarol (16). The structures of these new compounds were elucidated using high-resolution electrospray ionization mass spectroscopy (HR-ESI-MS) and one-dimensional/two-dimensional (1D/2D) nuclear magnetic resonance (NMR), while their absolute configurations were determined through the electronic circular dichroism (ECD) exciton chirality method and Snatzke's method. The hypoglycemic activity of all isolated compounds was evaluated using a transgenic zebrafish model, and a structure-activity relationship (SAR) analysis was conducted. Araucarone (3) and dammaric acid C (9), serving as representative compounds, demonstrated significant hypoglycemic effects on zebrafish. The primary mechanism involves the promotion of pancreatic β cell regeneration and glucose uptake. Specifically, these compounds enhance the differentiation of pancreatic endocrine precursor cells (PEP cells) into β cells in zebrafish.
Zebrafish ; Animals ; Diterpenes/isolation & purification* ; Insulin-Secreting Cells/cytology* ; Glucose/metabolism* ; Hypoglycemic Agents/isolation & purification* ; Molecular Structure ; Structure-Activity Relationship ; Plant Extracts/pharmacology* ; Regeneration/drug effects*

L-tyrosine is one of the 20 amino acids that make up proteins and is an essential amino acid for mammals, often used as a nutritional supplement. The conventional methods for synthesizing L-tyrosine have some problems such as the production of many by-products, high requirements for production conditions, and environmental pollution. In this study, we designed and constructed a multi-enzyme cascade for the synthesis of L-tyrosine with alanine, glutamate, ammonium chloride, and phenol as substrates. Initially, the sources of glutamate oxidase, alanine aminotransferase, and tyrosine phenol lyase were screened and analyzed, which was followed by the identification of the rate-limiting enzyme in the reaction process. A colorimetric screening method was established, and the rate-limiting enzyme DbAlaA was engineered to enhance its activity by 40.0%. Subsequently, the reaction conditions, including temperature, pH, cell concentration, and surfactant and coenzyme dosages, were optimized. After optimization, the yield of L-tyrosine reached 9.93 g/L, with a alanine conversion rate of 54.90%. Finally, a feed-batch fermentation strategy was adopted, and the yield of L-tyrosine reached 56.07 g/L after 24 h, with a alanine conversion rate of 65.22%. This study provides a reference for the whole-cell catalytic synthesis of L-tyrosine and its industrialization.
Tyrosine/biosynthesis* ; Escherichia coli/metabolism* ; Tyrosine Phenol-Lyase/genetics* ; Multienzyme Complexes/metabolism* ; Fermentation

Objective:To quantitatively analyze the primary research characteristics and keywords of international and domestic papers in the field of capsule endoscopy with bibliometric methods, and to illustrate the progression of capsule endoscopy research and offer insights for researchers in this domain.Methods:The Stork and visualized software CiteSpace were used to search and analyze the literature on "capsule endoscopy" in the English database of PubMed and the Chinese database of CNKI from 2002 to 2022.Results:A total of 6 011 English articles were identified in the PubMed database during the specified period. Both the number of publications and their citation frequencies displayed an upward trend on a global and domestic scale. The growth rates of global and domestic English publications were 5% and 15%, respectively, with major contributions coming from the United States, Japan, China, Italy and Germany. Key areas of global research interest included magnetic capsule endoscopy, colon capsule endoscopy, inflammatory bowel disease, small bowel capsule endoscopy, capsule endoscopy images, and obscure gastrointestinal bleeding, etc. A total of 2 027 articles were retrieved in the CNKI database, with top three research institutions including Department of Gastroenterology, Changhai Hospital, Naval Medical University; Department of Gastroenterology, Nanfang Hospital, Southern Medical University; School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. Emerging research keywords encompassed artificial intelligence, deep learning, and guidelines.Conclusion:The study reveals a gradual increase in global research activities related to capsule endoscopy, with China demonstrating significant international academic influence in this field.

Objective To explore and implement a differentiated management strategy for multi-campus hospitals to improve patient experience and satisfaction,and achieve the goal of homogenized management.Methods In December 2021,the Picker Patient Experience Questionnaire was used to survey the patient experience at 3 campuses of a tertiary A hospital in Hangzhou,and the reasons for the differences were analyzed.Based on policy document reviews,special group discussions,and expert meetings,differentiated management strategy for multi-campus hospitals was formulated.The patient experience and satisfaction before(December 2021)and after(December 2023)the implementation were compared.Results After the application of the one-hospital multi-campus difference management strategy,the overall medical experience score of the patients in the 3 campus was(58.54±2.36)points,which was higher than(58.13±3.24)points before the application(t=-3.223,P=0.001),and there was no statistically significant differences among the patients in the 3 campuses(F=0.781,P=0.458).After the application of the management strategy,the overall satisfaction score of the patients in the 3 campus was(98.44±6.22)points,which was higher than(97.98±6.87)points before the application of the management strategy(t=-2.490,P=0.013),and there was no statistical significance among the patients in the 3 campus(F=1.128,P=0.324).The number of banners and letters of commendation received by the 3 campuses increased from 1 661 before the application to 2 190 after the application,with a growth rate of 31.85％.Conclusion Differentiated management in a multi-campus hospital,aiming at homogenized quality through differentiated strategies,is practicable and can significantly improve the patient experience and satisfaction across different campuses.

Objective To evaluate the effect of exercise-diet behavior intervention based on the transtheoretical model in patients undergoing weight loss surgery.Methods By convenience sampling,72 patients undergoing weight loss surgery in a tertiary general hospital in Xinxiang City,Henan Province from February 2021 to October 2022 were selected as the research subjects.By a random number table method,they were divided into a test group and a control group,with 36 cases in each group.The test group received exercise-diet behavior intervention based on the trans-theoretical model,while the control group received conventional intervention.The intervention began on the first day after admission and ended 6 months after surgery.The body mass index,body fat,lean body mass,diastolic blood pressure,systolic blood pressure,fasting blood glucose,insulin resistance index(HOMA-IR),Health Promoting Lifestyle Profile-Ⅱ(HPLP-Ⅱ)score,and Short-Form-36 Health Survey(SF-36)score were compared between the 2 groups before and after surgery for 3 and 6 months,as well as the complications within 6 weeks after surgery.Results The results of repeated measures analysis of variance showed that there was an interaction between the 2 groups in terms of anthropometric measurements,blood pressure and blood glucose,HPLP-Ⅱ scores,and SF-36 scores,with statistically significant differences(P＜0.001).After 6 months of surgery,the body mass index(23.32±2.32),body fat(24.10±3.46)kg,and lean body mass(41.64±3.24)kg in the test group were lower than(27.32±3.64),(28.46±4.18)kg,and(46.68±4.65)kg in the control group,and the differences were statistically significant(P＜0.001).At 3 and 6 months after operation,the diastolic blood pressure,systolic blood pressure,fasting blood glucose and HOMA-IR of the test group were lower than those of the control group,and the differences were statistically significant(P＜0.05).The HPLP-Ⅱ score of the test group was higher than that of the control group at 3 and 6 months after operation(P＜0.001).The SF-36 score of the test group was significantly higher than that of the control group at 6 months after operation(P＜0.05).The incidence of complications in the test group was 2.56％,which was not significantly different from 19.44％in the control group(P＞0.05).Conclusion The exercise-dietary behavior intervention based on the transtheoretical model can promote the formation of healthy behaviors in patients undergoing weight loss surgery,maintain weight loss effects,improve blood pressure and blood glucose levels,and enhance the quality of life of patients.

Objective To explore the correlation of red cell distribution width/albumin ratio(RAR)and fibrinogen/albumin ratio(FAR)with severity of coronary artery disease(CAD)in patients with coronary heart disease(CHD),and to further explore the relationship of RAR and FAR with CAD severity in different glucose metabolic states.Methods A total of 577 CHD patients undergoing coronary angiography(CAG)in Department of Cardiology of Tianjin People's Hospital from January 2021 to December 2022 were enrolled,and according to the results of CAG,412 patients were diagnosed with multi-vessel CAD and the other 165 patients with single-vessel CAD.Their baseline data and results of laboratory tests were collected,and RAR and FAR values were calculated.Univariate and multivariate logistic regression analyses were performed with RAR and FAR as independent variables,and ROC curve was plotted to evaluate the predic-tive values of the 2 indicators for the severity of CAD.Spearman correlation analysis was applied to analyze the occurrence of major adverse cardiovascular events(MACEs)in the patients.Results Logistic regression analysis showed that RAR and FAR were independent risk factors for CAD(OR=1.974,95％CI:1.348-2.593,P=0.000;OR=1.737,95％CI:1.486-2.377,P=0.000).Un-der different glucose metabolic states,RAR had the highest correlation with the risk of CAD in diabetic patients(OR=2.828,95％CI:1.157-7.145),while FAR was associated with a relatively low risk of CAD in diabetic patients(OR=2.217,95％CI:1.533-5.570).ROC curve analysis showed that RAR(AUC=0.776,95％CI:0.731-0.821,P=0.000)and FAR(AUC=0.725,95％CI:0.676-0.774,P=0.000)had predictive value for the severity of CAD in CHD patients.Spearman correlation analysis indicated that RAR and FAR were positively correlated with occur-rence of MACEs in CHD patients(P＜0.001).Conclusion RAR and FAR are independent pre-dictors for CHD patients.RAR has a stronger predictive value for lesion severity in CHD patients with concomitant abnormal glucose metabolism.

Objective:To explore the effects of body mass index (BMI) on the incidence of nocturnal hypertension in patients with hypertension.Methods:Totally 341 hospitalized hypertensive patients treated at the Affiliated Hospital of Jining Medical University from February to May 2023 were selected by convenience sampling. Patients' general information, clinical data, and 24-hour ambulatory blood pressure results were collected. A binomial Logistic regression analysis was conducted to investigate the factors affecting the occurrence of nocturnal hypertension in these patients. The relationship between BMI and the incidence of nocturnal hypertension was examined using threshold effect tests and smooth curve fitting.Results:The binomial Logistic regression analysis indicated that blood phosphate level was a factor influencing the occurrence of nocturnal hypertension in hypertensive patients ( P<0.05). Smooth curve fitting and threshold effect test results showed that the relationship between BMI and the incidence of nocturnal hypertension was curve-correlated, with a turning point at 24.61 kg/m 2. To the left of the turning point, there was no correlation ( P=0.130) ; to the right, there was a correlation ( P=0.016) . Conclusions:When the BMI of hypertensive patients exceeds 24.61 kg/m 2, the likelihood of nocturnal hypertension increases with rising BMI, providing a precise intervention target for weight management-based patient care in hypertension.