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 provide a theoretical basis for radiation health supervision through an analysis of the situation of computed tomography (CT) equipment quality control and CT room radiological protection in Guangdong Province, China in recent years. Methods We collected the data of 392 times of CT quality control and radiological protection testing by a third-party radiological health technical service institution in Guangdong Province from 2019 to 2021. We analyzed the levels of CT-owning hospitals, CT manufacturers, CT quality control test results, and the pass rate of radiation protection tests. Results The examined CT scanners were from different levels of hospitals in Guangdong Province, and were manufactured by nine major CT equipment manufacturers at home and abroad. The pass rate of CT room radiological protection was 99.88%, and the ambient dose equivalent rates of five monitoring points exceeded the limit, with four at the control room door and one at the shield wall of the room. The overall pass rate of CT equipment quality control was 99.49%, and the non-conforming parameters were the accuracy of positioning light and the deviation of reconstructed slice thickness. Conclusion In recent years, CT equipment quality control and room radiation protection in Guangdong Province have been at a high level.

Objective To investigate the diagnostic efficacy and clinical value of GNB4 and Riplet gene methylation alone and in combination in the diagnosis of primary liver cancer.Methods A total of 313 patients were selected,including 78 patients with primary liver cancer,41 patients with other digestive system tumors,17 patients with non-digestive system tumors,20 patients with postoperative liver cancer,and 157 patients with benign liver disea-ses.The levels of GNB4 and Riplet gene methylation in plasma were detected using quantitative methylation-specific PCR(qMSP).Serum alpha-fetoprotein(AFP)levels were measured by direct chemiluminescence.Results The sensitivity and specificity of AFP in diagnosis were 51.3％and 94.3％,respectively;the sensitivity and specificity of GNB4 gene methylation in diagnosis were 83.3％and 99.4％,respectively;the sensitivity and specificity of Riplet gene methylation in diagnosis were 73.1％and 99.4％,respectively.The sensitivity and specificity of GNB4 and Riplet gene methylation combined diagnosis were 92.3％and 98.7％,respectively;the sensitivity and specificity of AFP,GNB4 and Riplet gene methylation combined diagnosis were 92.3％and 98.7％,respectively;the sensitivity and specificity of combined diagnosis including age and gender were 93.6％and 97.5％,respective-ly.Conclusion The sensitivity and specificity of AFP in the diagnosis of primary liver cancer are limited,while the methylation levels of GNB4 and Riplet genes are higher,and the sensitivity and specificity of their combined de-tection are higher than those of AFP.The sensitivity and specificity of AFP,GNB4 and Riplet gene methylation combined diagnosis are significantly higher than those of AFP,GNB4 and Riplet gene methylation alone.

OBJECTIVE To compare the efficacy and safety of Saccharomyces boulardii and Bifidobacterium triple live bacteria in the treatment of pediatric diarrhea. METHODS Retrieved from PubMed， Embase， the Cochrane Library， CBM， Wanfang data， CNKI and VIP， randomized controlled trials （RCTs） about S. boulardii （S. boulardii group） versus Bifidobacterium triple liver bacteria （Bifidobacterium group） were collected. After screening the literature， extracting data and evaluating the quality， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 9 RCTs were included， involving 898 patients. Results of meta-analysis showed there was no statistical significance in total response rate [OR＝1.69， 95%CI （0.93， 3.09）， P＝0.09]， duration of diarrhea [MD＝－1.39， 95%CI （－3.35， 0.57）， P＝0.16]， the time of abdominal pain disappearance [MD＝0.09， 95%CI（－0.87， 1.05），P＝0.86] or the incidence of adverse reactions [OR＝0.65， 95%CI （0.05， 8.03）， P＝0.74]. The number of stools in S. boulardii group was significantly less than Bifidobacterium group [MD＝－0.91， 95%CI （－1.80， －0.02）， P＝0.04]. The results of subgroup analysis showed that the duration of diarrhea in children with antibiotic-associated diarrhea in S. boulardii group was significantly shorter than Bifidobacterium group （P＜0.05）. CONCLUSIONS The efficacy and safety of S. boulardii are similar to those of Bifidobacterium in the treatment of diarrhea， but S. boulardii is better than Bifidobacterium in terms of stool number， the duration of diarrhea in children with antibiotic-associated diarrhea.

Objective:To investigate the impact of daily step count on glycemic outcomes in community residents with impaired glucose tolerance (IGT).Methods:This was a prospective cohort study, in October 2018, 204 residents who met the criteria of IGT were recruited in the Shijingshan District in Beijing. The subjects were tested for fasting blood glucose, oral glucose tolerance test 2-hour blood glucose (2hBG), glycated hemoglobin A 1c (HbA 1c), lipid profile, liver and kidney function, as well as measurements of height, weight and waist circumference. A dedicated mobile application was used to deliver prediabetes health knowledge monthly. Online guidance was provided to answer questions and daily step count was collected using the application. Three years later, a follow-up was conducted to assess the participants′ glycemic outcomes and other indexes, and a total of 142 participants completed the follow-up review. According to daily step count, the subjects were categorized into high step count group (42 cases,>7 000 steps daily), moderate step count group (54 cases, 5 000-7 000 steps daily), and low step count group (46 cases,<5 000 steps daily). Subjects were categorized into diabetes group (30 cases), prediabetes group (77 cases) and normal glucose tolerance group (35 cases) with glycemic outcomes. Independent sample t test was used to compare the differences in blood glucose, blood lipids, and step counts between the two groups. Kruskal-Wallis H test or one-way ANOVA was used to compare the differences in blood glucose, blood lipids, and step counts between multiple groups. The χ2 test was used to compare the differences in glycemic outcomes between multiple groups. Multivariate logistic regression analysis was used to assess the impact of daily step counts and body mass index on glycemic outcomes. Linear regression analysis was used to evaluate the relationship between daily step counts and 2 h BG. Results:A total of 142 participants completed the 3-year follow-up, including 43 males and 99 females, with a mean age of (60.15±5.67) years. At baseline, males had significantly higher body mass index, waist circumference, and fasting blood glucose when compared to those in females [(26.97±2.43) vs (24.89±2.93) kg/m 2, (92.68±7.75) vs (83.83±8.60) cm, (5.83±0.61) vs (5.62±0.52) mmol/L], the total cholesterol and HDL-C were also significantly lower in males than those in females [(5.10±1.16) vs (5.55±0.95) mmol/L, (1.35±0.34) vs (1.56±0.35) mmol/L] (all P<0.05). After 3-year follow-up, 21.1% (30/142) of IGT participants progressed to diabetes, with an annual conversion rate of approximately 7%. The normal glucose tolerance group showed significantly higher daily step counts when compared with the prediabetes and diabetes groups [(7 886±2 867) vs (5 981±2 655) vs (4 117±2 674) steps] ( H=31.778, P<0.001). Individuals with higher daily step counts exhibited lower body mass index, 2 h BG, and HbA 1c level when compared with those in the ones with moderate and low step counts [(24.26±3.09) vs (25.44±3.38) vs (26.26±3.59) kg/m 2, (7.50±1.71) vs (9.15±3.30) vs (11.19±3.84) mmol/L, 5.97%±0.46% vs 6.14%±0.99% vs 6.40%±0.96%] (all P<0.05). Higher step count was positively correlated with the reversal of prediabetes to normal blood glucose levels (moderate step count, OR=0.297, 95% CI: 0.109-0.804; low step count, OR=0.055, 95% CI: 0.010-0.287), lower daily step count correlated positively with prediabetes progressing to diabetes ( OR=4.857, 95% CI: 1.140-20.689) (all P<0.05). For every additional 1 000 steps per day, the 2 h BG decreased by 0.5 mmol/L. Conclusion:As daily step count increases, the glucose metabolism improves in IGT community residents. Higher daily step count is associated with reversal of IGT to normal glucose tolerance, while lower daily step count may be associated with the progression of IGT to diabetes.

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.