Esophageal cancer （EC） is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， as one of the key oncogenic pathways， can promote the cell cycle progression， proliferation， migration， and invasion， induce chemoresistance， and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine （TCM）， with the advantages of targeting multiple points with multiple components to delay cancer progression， can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum， spore powder of Ganoderma lucidum without spore coat， extract of Celastrus orbiculatus， root extract of Taraxacum， and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids， terpenoids， saponins， phenols， polysaccharides， alkaloids， and other compounds. TCM compound prescriptions with such effect include Qige San， Huqi San， Xuanfu Daizhetang， Tongyoutang and its decomposed prescriptions， Liujunzi Tang， and Xishenzhi Formula. In addition， TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions， aiming to provide reference for the research and clinical application of new drugs for EC.

Background Depressive symptoms have become a significant factor affecting the physical and mental health of the occupational population, and workers in petroleum refining enterprises face multiple stressors in their work environment. Objective To explore the impact of occupational noise exposure on depressive symptoms among workers in a petroleum refining enterprise. Methods This cross-sectional study was conducted in July 2024 using a questionnaire survey among workers of a petroleum refining enterprise in Hainan Province. Basic information of the subjects was collected. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms, the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality, and the Chinese version of the Effort-Reward Imbalance (ERI) scale was used to evaluate occupational stress. Chi-square test was employed to compare the differences in reporting depressive symptoms among populations with different characteristics. Binary logistic regression models were used to analyze the impact of occupational noise exposure and other factors on depressive symptoms. Results The overall positive rate of depressive symptoms in the study population was 42.7%. The results of the multifactor analysis indicated that compared with the control group, employees in both the low-exposure and high-exposure groups had elevated odds of depressive symptoms, with OR (95%CI) of 2.244 (1.131, 4.454) and 1.970 (1.009, 3.850), respectively. This association remained robust after adjusting for potential confounders, including gender, age, work tenure, and other occupational exposures. Additionally, female [OR (95%CI)=1.483 (1.039, 2.118)], exposure to benzene, toluene, or xylene [OR (95%CI)=1.621 (1.208, 2.174)], sleep disturbance [OR (95%CI)=3.772 (2.942, 4.838)], and occupational stress [OR (95%CI)=2.018 (1.575, 2.585)] were also significantly associated with higher odds of depressive symptoms. Conclusion The positive rate of depressive symptoms is relatively high among employees in this petrochemical enterprise, and occupational noise exposure may be a risk factor for depressive symptoms.

Objective To assess the survival vulnerability of Oncomelania hupensis in Jiangxi Province under future climate scenarios, and to identify low-vulnerability areas for its survival in this province. Methods Village-level O. hupensis snail survey and O. hupensis snail control with chemical treatments in Jiangxi Province from 2016 to 2024 were captured from the Parasitic Disease Prevention and Control Information Management System of China Disease Prevention and Control Information System. Climatic data were primarily sourced from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), including annual average temperature, annual average precipitation, annual accumulated temperature above 10 °C, annual accumulated temperature above 0 °C, annual maximum temperature, annual minimum temperature, and annual average relative humidity, and nineteen bioclimatic variables were downloaded from the WorldClim website (https://www.worldclim.org/), including mean diurnal range, isothermality, temperature seasonality, and so on. Elevation and normalized difference vegetation index were catprued from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), and distance to rivers was downloaded from the WorldPop website (http://www.worldpop.org), and land use and land cover (LULC) data were downloaded from the Big Earth Data Center, Chinese Academy of Sciences (https://data.casearth.cn/), and nature reserve data were obtained from the China Nature Reserve Specimen Resource Sharing Platform (http://www.papc.cn/). Three Shared Socioeconomic Pathways (SSPs) from the Beijing Climate Center-Climate System Model version 2-Medium Resolution (BCC-CSM2-MR) global climate model were employed as future climate scenarios, including SSP126, SSP245, SSP585, and the biomod2 ensemble model in R package was used to simulate suitable habitats for O. hupensis snails in Jiangxi Province in 2050 and 2070 under these scenarios. A snail survival vulnerability index was constructed based on the area of suitable snail habitats, area covered by snail control through chemical treatment, area covered by nature reserves, and changes in snail habitat fragmentation, and a map of snail survival vulnerability distribution was plotted. Results The real area of snail habitats ranged from 78 486.76 to 85 309.47 hm², and the area of snail control with chemical treatment ranged from 10 138.98 to 13 240.16 hm² in Jiangxi Province from 2016 to 2024. There were 429 to 531 villages detected with snails during the nine-year period, and the number of actually snail-infested villages ranged from 645 to 686. A total of 818 snail-present points and 1 996 snail-absent points were obtained from snail survey records. The best performance of the biomod2 ensemble model was achieved if a weighted mean approach was used as the ensemble strategy, with a true skill statistic value of 0.799 and an area under the receiver operating characteristic curve of 0.957, and modeling identified annual average relative humidity and annual average precipitation as two most influencing climatic variables for snail distribution. Relative to the current areas of suitable snail habitats under present climate conditions, the area of suitable snail habitats was projected to expand by 24.49% to 46.28% in Jiangxi Province under future climate scenarios, and the proportion of nature reserves areas in the areas of suitable snail habitats was projected to decrease slightly from the current 2.77% to approximately 2.52%, while the proportion of areas of snail control through chemical treatment in areas of suitable snail habitats varied from 0.64% to 19.57%, and the percentage of changes in snail habitat fragmentation ranged from 3.86% to 12.23%. Based on these four indicators, the snail survival vulnerability index was estimated to range from –1.96 to 0.62 in Jiangxi Province. The arithmetic mean of the snail survival vulnerability index differed under three SSP scenarios (SSP126, SSP245 and SSP585), with the highest mean value (–0.69) in 2070 under SSP126, and the lowest mean value (–0.78) in 2070 under SSP585. Conclusions The snail survival vulnerability index ranges from –1.96 to 0.62 in Jiangxi Province under future climate scenarios, and the suitable habitats for O. hupensis snails appear an overall tendency towards expansion. Low-vulnerability snail habitats are mainly distributed along the shores of Poyang Lake and the Yangtze River in Jiangxi Province, partially overlapping with nature reserves. Intensified surveillance of O. hupensis snails is recommended in these areas in the future.

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.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P＜0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P＜0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P＜0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762～1.000,P＜0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.

Objective This study explores the clinical correlation between different low-density lipoprotein cholesterol(LDL-C)levels and prognosis,providing evidence-based guidance for the development of personalized lipid-lowering goals.Methods Patients who underwent elective percutaneous coronary intervention(PCI)treatment at Beijing Anzhen Hospital from January 2020 to June 2023 and received lipid-lowering therapy with the addition of Evolocumab were selected.Based on the results of blood lipid rechecks 3 to 6 months after surgery,the patients were divided into five groups:low-density lipoprotein＜0.5 mmol/L,0.5 to＜1.0 mmol/L,1.0 to＜1.4 mmol/L,1.4 to＜1.8 mmol/L,and above 1.8 mmol/L.All patients were followed up for more than one year,and clinical conditions and major adverse cardiovascular events(MACE)were recorded.Results A total of 1 106 patients undergoing PCI were enrolled;after propensity score matching and exclusion of patients lost to follow up,550 remained(110 per group).During 12 months of follow-up,58 patients(10.5％)experienced a MACE,with incidence rising step-wise across LDL-C categories.In multivariable Cox models adjusted for age,sex,diabetes,hypertension,baseline LDL-C,follow-up LDL-C,estimated glomerular filtration rate(eGFR),and left ventricular ejection fraction,the hazard ratios[HR(95％CI)]for MACE,relative to the＜0.5 mmol/L group,were 1.810(0.507-6.454,P=0.361),3.036(0.945-9.749,P=0.062),5.228(1.737-15.735,P=0.003),7.708(2.633-22.565,P＜0.001)for LDL-C levels of 0.5 to＜1.0,1.0 to＜1.4,1.4 to＜1.8 and≥ 1.8 mmol/L,respectively.A restricted cubic spline model demonstrated a significant non-linear positive association between LDL-C and MACE(P-overall≤0.001;P-non-linear=0.008).Stratified analyses by age,sex,hypertension and diabetes showed consistent HR with no significant interactions(all P＞0.05).There were no statistically significant differences among the groups in the incidence of bleeding events,elevated creatinine levels,or abnormal liver function(all P＞0.05).Conclusions In patients using PCSK9 after PCI,there is a significant positive correlation between LDL-C levels and the risk of MACE,and no correlation was observed between different LDL-C levels and the risk of adverse events such as bleeding.

Objective:To explore the effect of Pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) with chemotherapy on breast cancer patients who got agranulocytosis of 3 to 4 degree, agranulocytosis with fever (FN) and the influential factors of relative dose intensity (RDI) chemotherapy scheme. Meantime, the value of CD34 + and CD45 in peripheral blood on predicting agranulocytosis of 3-4 degree were investigated.Methods:A total of 104 women with breast cancer were treated at Huzhou Maternal and Child Health Hospital and Cancer Hospital of Zhejiang Province from Jan. 2022 to Sep. 2023. All subjects received primary prevention with PEG-rhG-CSF during chemotherapy. The clinical risk factors of agranulocytosis, FN and RDI were analyzed. The levels of CD34 + and CD45 in peripheral blood samples were analyzed by flow cytometry. Then the predictive value of the receiver characteristic curve (ROC) for Grade 3 to 4 agranulocytosis after primary prophylaxis with PEG-rhG-CSF for breast cancer chemotherapy was evaluated.Results:Among 104 breast cancer patients who received primary prevention of PEG-rhG-CSF during chemotherapy, 28 patients had agranulocytosis of 3 to 4 grade, 10 patients got FN, and 12 patients developed RDI<85%. The results of single factor analysis showed that CD34 +, CD45 and chemotherapy scheme were the influential factors of agranulocytosis of 3 to 4 degree, and low RDI of chemotherapy scheme ( OR=0.584, OR=0.999, OR=2.299, OR=0.100, OR=0.999, OR=3.088, P<0.05) . It also showed that CD34 + and chemotherapy scheme were the influential factors of FN ( OR=0.099, OR=2.667, P<0.05) . Multivariate Logistic regression analysis showed that CD34 +, CD45 and intensive chemotherapy were the independent risk factors of agranulocytosis of 3 to 4 degree after primary prevention with PEG-rhG-CSF ( OR=0.602, OR=0.999, OR=20.174, P<0.05) . CD34 + and intensive chemotherapy scheme were the independent influential factors of FN and RDI of chemotherapy scheme after primary prevention with PEG-RHG-CSF ( OR=0.072, OR=33.934, OR=0.086, OR=54.788, P<0.05) . The area under the curve (AUC) of CD34 + were 0.767 (95% CI:0.659-0.876) , AUC of CD45 were 0.743 (95% CI:0.644-0.842) , and the AUC of combined two indexes was 0.825 (95% CI:0.730-0.920) , which was higher than that of single index. So AUC of CD34 + and CD45 can be used for predicting agranulocytosis of grade 3 to 4 in breast cancer patients receiving primary prophylaxis with PEG-rhG-CSF. Conclusions:The levels of CD34 + and CD45 in peripheral blood of breast cancer patients with agranulocytosis of grade 3 to 4 receiving primary prevention with PEG-rhG-CSF during chemotherapy are lower. Combined detection of CD34 + and CD45 in peripheral blood can predict the occurrence of agranulocytosis of grade 3 to 4 in breast cancer patients after primary prevention with PEG-rhG-CSF. Also it can provide a reliable basis for assessing the risk of grade 3 to 4 agranulocytosis.

Objective To explore the value of peripheral blood monocyte subsets and their CD169 expression levels in the diagnosis of common respiratory viral infections and the immune mechanism of the infection in children.Methods A total of 125 children with re-spiratory viral infections(virus infection group),71 children with bacterial respiratory infections(bacteria infection group),and 35 healthy children(healthy control group)admitted to the Third Affiliated Hospital of Zhengzhou University from February 2022 to Octo-ber 2023 were included in this study.The counts of peripheral blood monocytes and lymphocytes were detected by hematologic analyzer.The proportions of lymphocyte subsets,monocyte subsets,and the expression levels of CD169 were detected by a flow cytometry.Mono-cyte subsets were classified into three types:classical monocytes(CM),intermediate monocytes(IM),and non-classical monocytes(NCM).ANOVA and Kruskal-Wallis H tests were used to screen for differentially expressed indicators among the three groups,and the receiver operator characteristic(ROC)curve was used to evaluate their diagnostic performance.Paired t-tests were used to analyze the differences in the indicators between the first day and the seventh day of hospitalization in the virus group.Spearman rank correlation a-nalysis was used to explore the relationship between CD 169 expression levels in monocyte subsets and the quantity of lymphocyte sub-sets.Results Statistically significant differences in the expression levels of CD169 in monocytes of CM,IM,and NCM types were ob-served in peripheral blood between the children's respiratory viral infection group and the healthy control group(all P＜0.01).In con-trast,no statistically significant differences in CD169 expression levels were found in monocytes of CM and IM type between the respira-tory viral infection group and the bacterial infection group(all P＞0.05).The differences in CD 169 expression levels among the groups were statistically significant in the NCM subset(P=0.008).The area under the ROC curve(AUC)of CD169 expression level in NCM type monocytes for diagnosing respiratory viral infections was 0.897(P＜0.01),with a cutoff point of ≥ 62.75％,sensitivity of 68.60％,and specificity of 91.80％.The quantity and proportion of CM,IM,and NCM type monocytes did not show statistically signif-icant differences between the respiratory viral infection group and the bacterial infection group(all P＞0.05).However,there were sig-nificant differences in the quantity and proportion of CM and IM type monocytes,as well as the proportion of NCM type monocytes,be-tween the virus infection group and the healthy control group(all P＜0.05).The proportions of CM,IM,and NCM type monocytes,the quantity of IM type monocytes,and the CD169 expression levels of monocyte subsets showed statistically significant differences between the first day and the seventh day after admission(all P＜0.05).There were no statistically significant differences in the quantity of CM and NCM type monocytes between the first day and the seventh day after admission(all P＞0.05).The expression levels of CD169 in peripheral blood CM,IM,and NCM type monocytes were negatively correlated with the number of CD8+T cells with correlation coeffi-cients of-0.65,-0.63,and-0.66,respectively(all P＜0.01).Conclusion The expression level of CD169 in NCM type monocytes could be used as an auxiliary diagnostic marker for the children with respiratory viral infection.The changes of monocyte subsets during respiratory viral infection course in children may involve that more CM type monocytes differentiate into IM type monocytes,and some IM type monocytes do not differentiate into NCM type monocytes in proportion.IM and NCM type monocytes may play important roles in the early stage of respiratory viral infections in children.CD169 serves as a marker of monocyte activation.

Objective To screen the prescription,preparation,quality evaluation of Ganoderma lucidum extract nano-emulsion(GLEN)and study its anti-skin aging effect.Methods The emulsifier and oil phase of the nano-emulsion were preliminarily screened by solubility method.The pseudo-ternary phase diagram method was used to screen the nano-emulsions,and the prepared GLEN were evaluated for quality in terms of the appearance,particle size,structure,drug loading,stability and skin safety.A mouse skin aging model was constructed by injecting D-galactose combined with ultraviolet radiation.GLEN was applied to the skin at the modeling site and investigated for their anti-skin aging efficacy.Results The optimal GLEN prescription was 30%polyoxymethylene castor oil,14.4%glycerol,11.1%medium chain triglycerides,and 44.5%water.GLEN was a dark brown and transparent liquid at room temperature,O/W type nano-emulsion with an average particle size(32.20±2.89)nm,polydispersity coefficient 0.38±0.03,zeta potential value(-4.05±0.27)mV.The content of Ganoderma lucidum polysaccharides was(36.35±0.55)mg·mL-1,and the content of Ganoderma lucidum triterpenes was(5.99±0.46)mg·mL-1,which possessed good stability.Pharmacodynamic experiments showed compared with the model group,the skin scores of mice in the GLEN group significantly improved(P﹤0.05),the water content increased(P﹤0.01),and the contents of SOD,GSH-PX and Hyp increased(P﹤0.05),while the content of MDA was decreased significantly(P﹤0.01).HE,Masson and Sirius crimson staining further indicated that the pathological changes in mice were alleviated to varying degrees in GLEN group.And GLEN had high safety for skin,could be applied to human body.Conclusion In this study,the prepared GLENs were homogeneous in appearance,stable in nature,and exhibited significant anti-aging effects on mouse skin.