Objective To explore the prevalence of Helicobacter pylori (Hp) infection and its association with dietary and lifestyle habits among the adult physical examination population in Xuzhou area. Methods Retrospectively selected the physical examination population who underwent HP testing at our hospital's physical examination center from May 2021 to December 2023 as the research object. The prevalence of Hp infection in the population was analyzed based on the physical examination results. A questionnaire survey was used to collect information on the eating and living habits of all study subjects. Logistic regression was used to analyze the relationship between eating and living habits and Hp infection. Results A total of 1 354 physical examination people were included in the study, and the Hp infection rate was 37.30% (505/1354). The difference in Hp infection rates among people of different age groups is statistically significant (P<0.05), with the middle-aged population (41-59 years old) having the highest Hp positive infection rate (45.38%).High salt (41.11%), hot diet (40.56%), history of smoking (45.23%) and drinking (43.80%), less consumption of fruits and vegetables (43.73%), irregular exercise (41.29%), irregular diet People who frequently eat out (43.56%) and eat out frequently (42.57%) have a higher Hp infection rate (P<0.05).After adjusting for demographic factors such as gender, age, place of residence and education level, multivariate Logistic regression results showed that high-salt diet (OR=3.975, 95%CI: 2.670-5.917) and hot diet (OR=3.357, 95%CI: 2.291-4.919), smoking (OR=1.458, 95%CI: 1.082-1.964), drinking alcohol (OR=1.654, 95%CI: 1.279-2.138), eating fruits and vegetables (OR=1.759, 95%CI: 1.345-2.301), regular exercise (OR=1.822, 95%CI: 1.371-2.421), regular diet (OR=1.893, 95%CI: 1.391-2.575), eating out (OR=1.690, 95%CI: 1.277-2.237) were associated with the risk of Hp infection (P<0.05). Conclusion The positive infection rate of Hp among the physical examination population in Xuzhou is slightly lower than the average epidemic level in China. Cultivating healthy eating and living habits can effectively reduce the risk of Hp infection.

Objective To investigate the impact of two different algorithms, AAA and AXB, on the dose distribution of postoperative radiotherapy for left-sided breast cancer after breast-conserving surgery. Methods A total of 96 target volumes from patients who underwent breast-conserving surgery for left-sided breast cancer were selected for dose verification using a two-dimensional matrix system. The planned dose distributions were simulated using both AAA and AXB algorithms. Dosimetric differences in organs at risk and the target volumes were then compared to identify the algorithm that could reduce the radiation dose to organs at risk without compromising the dose distribution to the target volume. Dose verification was performed on the plans generated by both algorithms, and the pass rates of plans for each target volume using both algorithms were compared to provide a quantitative basis for the precise selection of subsequent radiotherapy plans. Results Both AAA and AXB plans met the radiotherapy requirements. The AXB algorithm demonstrated significant advantages in the D₉₈, D₂, homogeneity index, and conformity index for the planning target volume, as well as in the V₅ and V₂₀ for the left lung. The AXB algorithm showed advantages in the V₃₀ for the heart and the maximum and mean doses for the skin. With the 2 mm/2% criterion in dose verification, the gamma pass rate was higher for the AXB algorithm. Conclusion Through a comparative analysis of the two algorithms, this study revealed that the AXB algorithm offers certain advantages in the dose distribution of radiotherapy after breast-conserving surgery for left-sided breast cancer. These findings provide an important reference for the rational selection of algorithms in clinical practice and are expected to improve radiotherapy efficacy and patient prognosis.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Depression is a widespread psychiatric disorder with complex pathogenesis and unsatisfactory therapeutic effects. As a native flavonoid, Isorhamnetin (ISO) has been deemed to exert neuroprotective effects by antioxidation and regulation of immunity. However, no reports of anti-depressed effect of ISO have yet been found. The present study was conducted to clarify the mechanism basis of anti-depressed effect of ISO utilizing behavioral, biochemical, molecular approaches in vitro and in vivo and bio-informatics analysis. The effects of ISO on depressed mice was investigated through the SPT and FST, and the lesions were examined by H&E staining. Besides, the inflammatory factor and indicator in kynurenine pathway were assessed through detection kits, and the microbiota were checked by 16sRNA. Molecular docking study was performed to investigate the target of ISO. Additionally, Western blot was used to test the activation of PI3K/AKT signaling pathway. The results indicated that ISO could enhance the sugar water preference of mice in SPT and reduce immobility time in FST. Further more, ISO suppressed peripheral and central inflammation, regulated the changes in kynurenine pathway and gut microbiota, inhibited activation of PI3K/AKT pathway, and presented good binding patterns with target proteins on PI3K/AKT signaling pathway. Collectively, these findings demonstrate that ISO alleviated depression-like behaviour by normalizing inflammation-induced dysregulation of the crosstalk between KP and gut microbiota disorder through regulated PI3K/AKT/NF-κB pathway.

Objective:To investigate the clinical efficacy of radical gastrectomy with mesan-gientization via the inferior margin of the pancreas approach (GMIP).Methods:The retrospective cohort study was conducted. The clinicopathological data of 255 patients of Siewert Ⅱ and (or) Ⅲ adenocarcinoma of esophagogastric junction (AEG) who were admitted to Cancer Hospital Affiliated to Shanxi Medical University from March 2024 to March 2025 were collected. There were 191 males and 64 females, aged (62 ±7)years. Of 255 patients, 152 cases undergoing GMIP were allocated into the mesangientization radical resection group, 103 cases undergoing D 2 radical resection of gastric cancer were allocated into D 2 radical resection group. Observation indicators: (1) surgical and post-operative situations; (2) lymph node dissection status. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Wilcoxon test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. Compari-son of ordinal data was conducted using the rank sum test. Results:(1) Surgical and postoperative situations. In the mesangientization radical resection group, the time of lymph node dissection was (115±14)minutes, volume of intraoperative blood loss was (81±37)mL. In the D 2 radical resection group, the above indicators were (97±13)minutes, (104±39)mL, respectively. There were significant differences in the above indicators between the two groups ( t=-8.68, -4.64, P<0.05). In the mesan-gientization radical resection group, the total number of examined lymph node was 40.00(10.00), the number of lymph node dissected (the total number of each group) was 29.00(5.00), the number of lymph node metastasis (the total number of each group) was 2.00(1.00). In the D 2 radical resection group, the above indicators were 27.00(9.00), 8.00(4.00), 1.00(1.00), respec-tively. There were significant differences in the above indicators between the two groups ( Z=-10.68, -13.57, -6.80, P<0.05). (3) Lymph node dissection status. There were significant differences in number of lymph node dissected of No.14v, 12a, 12p, 11d, 11p, 10, postgastric, 9, 8a, 8p lymph node between the mesangientization radical resection group and the D 2 radical resection group ( P<0.05). There were significant differences in number of lymph node metastasis of No.11d and postgastric lymph node between the mesangientization radical resection group and the D 2 radical resection group ( P<0.05). Conclusion:Compared with D 2 radical resection, the GMIP for Siewert Ⅱ or Ⅲ AEG has less volume of intraoperative blood loss and more complete lymph node dissection.

Objective To explore the efficacy of vacuum-assisted minimally invasive gyrotomy for benign lesions in the lower quadrant of the breast.Methods From August 2022 to August 2023,90 patients with benign lesions in the lower quadrant of the breast were treated.According to the different surgical methods,they were divided into two groups:the traditional group included 45 cases,which underwent surgery through the trans-areolar incision;the minimally invasive group included 45 cases,which underwent surgery through the trans-mammary fold incision with vacuum-assisted minimally invasive technique.The surgical-related indicators,inflammatory response indicators,patient satisfaction,and safety were compared between the two groups.Results The operation time[(20.45±6.18)min],intraoperative bleeding[(7.78±2.23)ml],hospital stay[(4.37±1.05)d],scar length[(2.32±0.42)cm]and healing time[(3.46±1.08)d]in the minimally invasive group were significantly better than those in the traditional group[(34.52±9.46)min,(23.16±6.44)ml,(8.72±2.73)d,(19.14±4.18)cm and(7.37±2.16)d](P＜0.05).The levels of IL-6[(12.14±2.86)ng/L],IL-10[(14.33±3.74)pg/ml],CRP[(13.85±3.11)mg/L],Cor[(131.27±6.43)nmol/L]and NE[(82.55±8.44)in the minimally invasive group at 3 days after surgery ng/ml were increased and VEGF was decreased[(59.72±7.44)mg/L]than the traditional group[(17.23±3.38)ng/L,(19.62±4.88)pg/ml,(28.36±4.67)mg/L,(196.52±8.84)nmol/L,(117.62±7.14)ng/ml and(88.46±7.89)mg/L](P＜0.05).The satisfaction of patients in minimally invasive group(97.78％,44/45)was significantly higher than that in traditional group(82.22％,37/45)(P＜0.05).The incidence of adverse events in minimally invasive group(4.44％,2/45)was significantly lower than that in traditional group(22.22％,10/45)(P＜0.05).Conclusion Vacuum-assisted minimally invasive rotatory excision can optimize surgical indicators,improve serological indicators,enhance patient satisfaction and treatment safety compared to traditional areola incision surgery.

Objective To investigate the correlation between G protein-coupled receptor family C group 6 member A(GPRC6A)gene polymorphisms and their expression and pulmonary infections in elderly patients with chronic heart failure(CHF).Methods 138 elderly CHF patients admitted to the Xianyang First People's Hospital from January 2021 to January 2024 were selected as the research subjects,and were divided into an infected group(n=42)and an uninfected group(n=96)based on their lung infection status.Polymerase chain reaction(PCR)was used to detect polymorphisms at the rs6901250 and rs1606365 loci of the GPRC6A gene.The allele and genotype frequency distributions of the infected and uninfected groups were compared.Logistic regression modeling was used to analyze the s6901250 and rs1606365 loci under three genetic models(co-dominant,dominant and reces-sive)and lung infections in elderly patients with CHF.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of GPRC6A gene.The predictive value of the mRNA expression level of the GPRC6A gene for the development of pulmonary infections in elderly patients with CHF was analyzed by applying the receiver operator characteristic(ROC)curve.Results The distribution of genotypes at loci rs6901250 and rs1606365 of the GPRC6A gene in both the infected and uninfected groups of the lungs of elderly CHF patients conformed to the Hardy-Weinberg equilibrium law(χ2=0.199～0.376,all P>0.05),which was representative of the population.Compared with the uninfected group,the frequency of allele A at locus rs6901250(57.14%vs 41.67%)was significantly higher in the infected group,Allele G(54.76%vs.37.50%)and genotype GG(14.06%vs 29.99%)frequencies were significantly higher at locus rs1606365,and the differences were statistically significant(χ2=5.628,7.114,6.849,all P<0.05).At locus rs6901250,in the co-dominant model(GG vs AA)and the dominant model(GA+AA vs GG),the elderly CHF patients with AA genotype the risk of lung infection was higher than that of GG genotype(OR=1.753,1.546,all P<0.05);.rs1606365 locus showed that the risk of lung infection was higher than that of CC genotype in el-derly CHF patients with GG genotype under all three genetic models of co-dominant model(CC vs GG),dominant model(CG+GG vs CC)and recessive model(CG+CC vs GG)(OR=1.833,1.741,0.695,all P<0.05).The mRNA expression level of GPR-C6A gene in the lung-infected group of elderly CHF patients(1.43±0.35)was significantly higher than that in the uninfected group(1.02±0.21),and the difference was statistically significant(t=8.515,P<0.001).The results of the ROC curve analysis showed that the GPRC6A gene expression level predicted lung infection in elderly CHF patients with an AUC value of 0.895,a cut-offvalue of 1.37,and sensitivity and specificity of 85.7%and 66.7%,respectively.Conclusion The AA genotype at the rs6901250 locus and the GG genotype at the rs1606365 locus of the GPRC6A gene increased the risk of developing lung infec-tions in elderly patients with CHF.MRNA expression levels of the GPRC6A gene were elevated in the infected group,and its ex-pression level could be used as a predictive indicator for the development of lung infections in elderly patients with CHF.