The inflammatory effect of dietary is strongly related to the development of cancer,therefore,the diet-related inflammatory index was developed as a methodological tool to investigate the relationship between dietary,inflammation and tumors.In this paper,we summarized the results on diet-related inflammatory indices and common cancers of the digestive system based on relevant cancer epidemiological studies.The available epidemiological evidence suggests that pro-inflammatory diet is associated with an increased risk of gastrointestinal malignancies,with the strongest association with colorectal cancer,followed by esophageal and gastric cancers,and then pancreatic cancer,and the least evidence of studies with liver cancer.Among these studies,the level of evidence for esophageal cancer is lower than colorectal cancer,the study of gastric cancer has gender differences and problems in adjusting for confounders,and the study of pancreatic cancer has heterogeneous results.In view of the current research progress and deficiencies,prospective studies or population-based cohort studies,as well as strengthening nutritional epidemiological studies related to common tumors such as liver cancer could be considered in the future.This review is expecting to provide basic information and scientific basis for strengthening the related healthy eating behavior promotion in the prevention and control of digestive system tumors.

Despite significant achievements of deep learning in medical image segmentation,there are challenges for brain tumor segmentation using deep learning,such as insufficient receptive field,excessive redundant information,and information loss.To address these issues,a novel brain tumor segmentation network model(EAU-Net)is proposed based on encoder-decoder structure.EAU-Net incorporates an effective receptive field expansion block and an attention fusion module to minimize the adverse effects caused by insufficient receptive field and excessive redundant information which often occurred in the current brain tumor segmentation network.Additionally,a bottleneck resampling module based on inverted residual structure is introduced to effectively avoid information loss during upsampling and downsampling,while deep convolutions are used to reduce computational complexity.Experimental results on the BraTS2020 dataset reveal that EAU-Net achieves the highest segmentation accuracy,demonstrating its feasibility and effectiveness for brain tumor segmentation.

Objective:To explore the efficacy and safety of whole-brain low-dose radiotherapy(LDRT)combined with PD-1 inhibitor sin-tilimab and intrathecal pemetrexed(IP)for the treatment of refractory non-small cell lung cancer(NSCLC)with leptomeningeal metastases(LM).Methods:Retrospective analysies were was performed on eight NSCLC patients with LM at the West China Hospital of Sichuan Uni-versity from December 2022 to May 2024.Among the eight patients,there were four were males and four were females,with a median age of 49 years(rangeing,between 34 to 58 years).All patients were treated with whole-brain LDRT combined with immune checkpoint inhibit-or(ICI)and intrathecal chemotherapy regimens,and the therapeutic efficacy was evaluated according to the Response Assessment in Neuro-Oncology(RANO)criteria and the Karnofsky physical status(KPS)score.Adverse reactions were assessed according to the Common Criteria for the Evaluation of Adverse Events(CTCAE version 5.0).Survival analysis was performed using the Kaplan-Meier method.The classification proportion of cerebrospinal fluid subsets before and after treatment was analyzed using by single-cell sequencing,and the differential ana-lysis of gene expression in parallel cells was performed.Results:The best clinical treatment effects in eight patients were were evaluated us-ing the RANO criteria:five patients(62.5%)were evaluated as improved and three(37.5%)as stable.The median KPS score of the eight pa-tients was 30(20-50)before treatment,which was significantly improved to 60(40-90)after treatment(P=0.000 9).The remission rate of neurological symptoms was 100%(8/8)in eight patients.The median neurological progression-free survival(NPFS)was 12 months.The res-ults of single-cell sequencing in CSF of patientss(P1)showed that the proportion of T cells in the patient samples after whole-brain LDRT treatment was significantly higher than that before treatment(6.08%vs.68.87%),and the proportion of tumor cells was significantly lower(12.92%vs.0.6%).The differential analysis of gene expression showed that CCL5 and CXCL13 were significantly upregulated in T cells of CSF after WB-LDRT treatment.Conclusions:The combination of whole-brain LDRT with ICI and IP in the treatment of NSCLC with LM can signific-antly alleviate neurological symptoms,improve quality of life and prolong the NPFS of patients,which is a safe and effective treatment.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Objective To explore the prognostic impact and clinical application value of therapeutic plasma exchange(TPE)intervention timing and liver injury periodization in patients with exertional heat stroke(EHS).Methods Data of 127 EHS patients from the First Medical Center of the General Hospital of the People′s Liberation Army from January 2011 to December 2023 were collected,then divided into the death group and the survival group based on therapeutic outcomes and into 5 stages according to the dynamic changes of ALT,AST,TBIL and DBIL.According to propensity score matching analysis,11 patients in the survival group and 12 patients in the death group were included in the statistical analysis,and 20 of them were treated with TPE.The changes in indicators and clinical outcomes before and after TPE were observed,in order to evaluate the impact of intervention timing on prognosis.Results Among the 23 patients,14 had no liver injury or could progress to the repair phase,resulting in 3 deaths(with the mortality rate of 21.43%),while 9 patients failed to pro-gress to the repair phase,resulting in 9 deaths(with the mortality rate of 100%),with significant differences(P＜0.05).The mortality rate of the first TPE intervention before the third stage of liver injury was 23.08%(3/13),while that of interven-tion after reaching or exceeding the third stage was 85.71%(6/7),and the difference was statistically significant(P＜0.05).Conclusion TPE should be executed actively in EHS patients combined with liver injury before the third phase to lock its pathological and physiological processes,thereby improving prognosis and reducing mortality.

OBJECTIVE To analyze the main components of Chelidonii Herba-Corydalis Rhizoma （CHCR）， and to predict pharmacodynamic substances against estrogen receptor （ER） -positive breast cancer and their potential targets and signaling pathways， followed by verifying experiments. METHODS The ethanol extract of CHCR was analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS/MS）. The network pharmacology analysis was performed for the screened components. The network diagram of CHCR “active components-target-pathway” was constructed， and the enrichment pathway in vitro was validated. RESULTS A total of 58 chemical components were identified， including 57 alkaloids and 1 organic acid. A total of 38 active ingredients were screened from the network pharmacology， and 38 core targets were found in the protein-protein interaction network of “component-disease” intersection targets； 258 gene ontology entries and 137 Kyoto encyclopedia of genes and genomics pathways were obtained， mainly including estrogen signal pathway， phosphatidylinositol-3-kinase/protein kinase B （PI3K/Akt） signal pathway， etc. The results of validation test showed that the median inhibitory concentration of CHCR to MCF-7 cells was 693 μg/mL； 150， 300， 600 μg/mL CHCR could significantly reduce the expressions of phosphorylated PI3K， phosphorylated Akt， ERα protein and ESR1 mRNA （P＜0.01）. CONCLUSIONS The anti-ER-positive breast cancer effect of CHCR may be related to the regulation of ER and PI3K/Akt pathways， which has the characteristics of multi-component and multi-target effects.

ObjectiveTo investigate the mechanism of Zuogui Jiangtang Qinggan prescription （ZJQP） in improving glucose and lipid metabolism in loss of skeletalmuscle-specific insulin-like growth factor-1 receptor function （MKR） mice with type 2 diabetes mellitus （T2DM） and non-alcoholic fatty liver disease （NAFLD）. MethodNAFLD was induced by high-fat diet feeding for 8 weeks in MKR mice， which were randomly divided into model group， metformin group （0.067 g·kg^-1）， and ZJQP high and low-dose groups（14.8， 7.4 g·kg^-1）. Ten FVB mice of the same age were used as the normal group. After 8 weeks of drug treatment， the oral glucose tolerance test （OGTT） was performed， the serum was taken to detect triacylglycerol （TG） and total cholesterol （TC）， and the wet weight of the mouse liver was weighed. Haematoxylin-eosin （HE） staining and oil red O staining were performed to assess histopathology of liver. The mRNA expression and protein expression of Fork head box protein O1 （FoxO1）， phosphoenolpyruvate carboxykinase （PEPCK）， glucose-6-phosphatase （G6Pase）， and apolipoprotein C3 （ApoC-Ⅲ） in liver tissues were detected by real-time fluorescent quantitative PCR （Real-time PCR） and Western blot， respectively. ResultAs compared with the normal group， the levels of fasting blood glucose， liver index， serum TG， TC， and OGTT of mice in the model group increased significantly （P<0.01）. As compared with model group， the fasting blood glucose and liver index of the mice in the metformin group and the ZJQP group decreased significantly （P<0.01）， the serum levels of TG and TC in the high-dose ZJQP group decreased significantly （P<0.05，P<0.01）， and the OGTT of mice in the metformin group and the high-dose ZJQP group improved （P<0.05）. In histopathology， as compared with the normal group， mice in the model group showed decreased lipid droplets and vacuoles in hepatocytes， and their volumes became larger. Compared with the model group， the ZJQP group and metformin group showed that the lipid droplets in liver tissues were reduced， the vacuoles in liver cells were reduced， and the volume was smaller. At the molecular level， as compared with the normal group， the mRNA and protein levels of FoxO1， PEPCK， G6Pase， and ApoC-Ⅲ in liver tissues of mice in the model group were significantly up-regulated （P<0.01）. As compared with the model group， the mRNA and protein levels of FoxO1， PEPCK， G6Pase， and ApoC-Ⅲ in the ZJQP group was significantly decreased （P<0.01）. ConclusionZJQP can improve the glucose and lipid metabolism of T2DM with NAFLD and repair the pathological damage of liver， which may be through regulating the expression of FoxO1， PEPCK， G6Pase， ApoC-Ⅲ-related proteins in liver tissues to achieve the effects of regulating lipid， lowering glucose， and delaying hepatic steatosis.

Objectives: To analyze the long-term survival of patients with localized renal cell carcinoma after partical nephrectomy. Methods: The clinicopathological records and survival follow-up data of 2 046 patients with localized renal cell carcinoma, who were treated with partial nephrectomy from August 2001 to February 2021 in the Department of Urology, Sun Yat-sen University Cancer Center, were retrospectively analyzed. There were 1 402 males and 644 females, aged (M(IQR)) 51 (19) years (range: 6 to 86 years). The primary end point of this study was cancer-specific survival. Survival curves were estimated using the Kaplan-Meier method, and the difference test was performed by Log-rank test. Univariate and multivariate Cox analysis were fitted to determine factors associated with cancer-specific survival. Results: The follow-up time was 49.2 (48.0) months (range: 1 to 229 months), with 1 974 patients surviving and 72 dying. The median cancer-specific survival time has not yet been reached. The 5- and 10-year cancer specific survival rates were 97.0% and 91.2%, respectively. The 10-year cancer-specific survival rates for stage pT1a (n=1 447), pT1b (n=523) and pT2 (n=58) were 95.3%, 81.8%, and 81.7%, respectively. The 10-year cancer-specific survival rates of patients with nuclear grade 1 (n=226), 2 (n=1 244) and 3 to 4 (n=278) were 96.6%, 89.4%, and 85.5%, respectively. There were no significant differences in 5-year cancer-specific survival rates among patients underwent open, laparoscopic, or robotic surgery (96.7% vs. 97.1% vs. 97.5%, P=0.600). Multivariate analysis showed that age≥50 years (HR=3.93, 95%CI: 1.82 to 8.47, P<0.01), T stage (T1b vs. T1a: HR=3.31, 95%CI: 1.83 to 5.99, P<0.01; T2+T3 vs. T1a: HR=2.88, 95%CI: 1.00 to 8.28, P=0.049) and nuclear grade (G3 to 4 vs. G1: HR=2.81, 95%CI: 1.01 to 7.82, P=0.048) were independent prognostic factors of localized renal cell carcinoma after partial nephrectomy. Conclusions: The long-term cancer-specific survival rates of patients with localized renal cancer after partial nephrectomy are satisfactory. The type of operation (open, laparoscopic, or robotic) has no significant effect on survival. However, patients with older age, higher nuclear grade, and higher T stage have a lower cancer-specific survival rate. Grasping surgical indications, attaching importance to preoperative evaluation, perioperative management, and postoperative follow-up, could benefit achieving satisfactory long-term survival.

PURPOSE: As common clinical screening tests cannot effectively predict a difficult airway, and unanticipated difficult laryngoscopy remains a challenge for physicians. We herein used ultrasound to develop some point-of-care predictors for difficult laryngoscopy. METHODS: This prospective observational study included 502 patients who underwent laryngoscopy and a detailed sonographic assessment. Patients under 18 years old, or with maxillofacial deformities or fractures, limited mouth opening, limited neck movement or history of neck surgery were excluded from the study. Laryngoscopic views of all patients were scored and grouping using the modified Cormack-Lehane (CL) scoring system. The measurements acquired comprised tongue width, the longitudinal cross-sectional area of the tongue, tongue volume, the mandible-hyoid bone distance, the hyoid bone-glottis distance, the mandible-hyoid bone-glottis angle, the skin-thyrohyoid membrane distance, the glottis-superior edge of the thyroid cartilage distance (DGTC), the skin-hyoid bone distance, and the epiglottis midway-skin distance. ANOVA and Chi-square were used to compare differences between groups. Logistic regression was used to identify risk factors for difficult laryngoscopy and it was visualized by receiver operating characteristic curves and nomogram. R version 3.6.3 and SPSS version 26.0 were used for statistical analyses. RESULTS: Difficult laryngoscopy was indicated in 49 patients (CL grade Ⅲ - Ⅳ) and easy laryngoscopy in 453 patients (CL grade Ⅰ - Ⅱ). The ultrasound-measured mandible-hyoid bone-glottis angle and DGTC significantly differed between the 2 groups (p < 0.001). Difficult laryngoscopy was predicted by an area under the curve (AUC) of 0.930 with a threshold mandible-hyoid bone-glottis angle of 125.5° and by an AUC of 0.722 with a threshold DGTC of 1.22 cm. The longitudinal cross-sectional area of the tongue, tongue width, tongue volume, the mandible-hyoid distance, and the hyoid-glottis distance did not significantly differ between the groups. CONCLUSION Difficult laryngoscopy may be anticipated in patients in whom the mandible-hyoid bone-glottis angle is smaller than 125.5° or DGTC is larger than 1.22 cm.
Humans ; Adolescent ; Laryngoscopy ; Prospective Studies ; Tongue/diagnostic imaging* ; Respiratory System ; Ultrasonography

This study aimed to investigate the effect and mechanism of Zuogui Jiangtang Qinggan Formula(ZGJTQG) on the glucolipid metabolism of type 2 diabetes mellitus(T2DM) complicated with non-alcoholic fatty liver disease(NAFLD). NAFLD was induced by a high-fat diet(HFD) in MKR mice(T2DM mice), and a model of T2DM combined with NAFLD was established. Forty mice were randomly divided into a model group, a metformin group(0.067 g·kg~(-1)), and high-and low-dose ZGJTQG groups(29.64 and 14.82 g·kg~(-1)), with 10 mice in each group. Ten FVB mice of the same age were assigned to the normal group. Serum and liver tissue specimens were collected from mice except for those in the normal and model groups after four weeks of drug administration by gavage, and fasting blood glucose(FBG) and fasting insulin(FINS) levels were measured. The levels of total cholesterol(TC), triglyceride(TG), and low-density lipoprotein(LDL) were detected by the single reagent GPO-PAP method. Very low-density lipoprotein(VLDL) was detected by enzyme-linked immunosorbent assay(ELISA). Alanine aminotransferase(ALT) and aspartate ami-notransferase(AST) were determined by the Reitman-Frankel assay. The pathological changes in the liver were observed by hematoxylin-eosin(HE) staining and oil red O staining. Real-time fluorescence-based quantitative polymerase chain reaction(real-time PCR) and Western blot were adopted to detect the mRNA and protein expression of forkhead transcription factor O1(FoxO1), microsomal triglyceride transfer protein(MTP), and apolipoprotein B(APOB) in the liver. The results showed that high-dose ZGJTQG could signi-ficantly reduce the FBG and FINS levels(P<0.05, P<0.01), improve glucose tolerance and insulin resistance(P<0.05, P<0.01), alleviate the liver damage caused by HFD which was reflected in improving liver steatosis, and reduce the serum levels of TC, TG, LDL, VLDL, ALT, and AST(P<0.05, P<0.01) in T2DM mice combined with NAFLD. The findings also revealed that the mRNA and protein expression of FoxO1, MTP, and APOB in the liver was significantly down-regulated after the intervention of high-dose ZGJTQG(P<0.05, P<0.01). The above study showed that ZGJTQG could effectively improve glucolipid metabolism in T2DM combined with NAFLD, and the mechanism was closely related to the regulation of the FoxO1/MTP/APOB signaling pathway.
Mice ; Animals ; Non-alcoholic Fatty Liver Disease/metabolism* ; Diabetes Mellitus, Type 2/metabolism* ; Liver ; Lipoproteins, LDL/metabolism* ; Signal Transduction ; Diet, High-Fat/adverse effects* ; RNA, Messenger/metabolism*