Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Recent clinical studies have shown that mutation of phosphatase and tensin homolog deleted on chromosome 10 (PTEN) gene in cancer cells may be associated with immunosuppressive tumor microenvironment (TME) and poor response to immune checkpoint blockade (ICB) therapy. Therefore, efficiently restoring PTEN gene expression in cancer cells is critical to improving the responding rate to ICB therapy. Here, we screened an adeno-associated virus (AAV) capsid for efficient PTEN gene delivery into B16F10 tumor cells. We demonstrated that intratumorally injected AAV6-PTEN successfully restored the tumor cell PTEN gene expression and effectively inhibited tumor progression by inducing tumor cell immunogenic cell death (ICD) and increasing immune cell infiltration. Moreover, we developed an anti-PD-1 loaded phospholipid-based phase separation gel (PPSG), which formed an in situ depot and sustainably release anti-PD-1 drugs within 42 days in vivo. In order to effectively inhibit the recurrence of melanoma, we further applied a triple therapy based on AAV6-PTEN, PPSG^@anti-PD-1 and CpG, and showed that this triple therapy strategy enhanced the synergistic antitumor immune effect and also induced robust immune memory, which completely rejected tumor recurrence. We anticipate that this triple therapy could be used as a new tumor combination therapy with stronger immune activation capacity and tumor inhibition efficacy.

Objective:To investigate the value of traditional metabolic parameters, CT features and intratumoral heterogeneity parameters measured by 18F-FDG PET/CT in predicting the mutation status of the epidermal growth factor receptor (EGFR) gene in patients with adenocarcinoma. Methods:A total of 147 patients (73 males, 74 females, age (59.8±10.2) years) with pathological confirmed adenocarcinoma between January 2016 and June 2020 in the Affiliated Hospital of Jining Medical University were retrospectively included. The differences of clinical data (smoking history, tumor location and clinical stage), CT features (maximum diameter, ground-glass opacity content, lobulation, speculation, cavitation, air-bronchogram, pleural retraction and bronchial cut-off sign), 18F-FDG PET/CT traditional metabolic parameters (SUV max, SUV mean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG)) and intratumoral heterogeneity parameters ( CV, heterogeneity index (HI)) were analyzed between patients with EGFR mutation and patients with EGFR wild-type. Independent-sample t test, Mann-Whitney U test and χ2 test were used to analyze the data. Multivariate logistic regression was used to analyze the predictors of EGFR mutation. ROC curve analysis was used to evaluate the predictive value of clinical and PET/CT information. Results:Among 147 patients, 87 were with EGFR mutation and 60 were with EGFR wild-type. There were significant differences in gender (male/female), smoking history (with/without), location (peripheral lesion/central lesion), pleural retraction (with/without), SUV max, SUV mean, TLG, CV and HI ( χ2 values: 4.72-23.89, z values: from -2.31 to 5.74, all P<0.05). Multivariate logistic regression analysis showed that smoking history (odds ratio ( OR)=0.167, 95% CI: 0.076-0.366; P<0.001), pleural retraction ( OR=1.404, 95% CI: 1.115-3.745; P=0.012), SUV max ( OR=0.922, 95% CI: 0.855-0.995; P=0.003), TLG ( OR=0.991, 95% CI: 0.986-0.996; P=0.001) and HI ( OR=0.796, 95% CI: 0.700-0.859; P<0.001) were predictors of EGFR mutation. ROC curve analysis showed the AUC of HI was 0.779, with the sensitivity of 76.67%(46/60) and the specificity of 79.31%(69/87). The predictive model was constructed by combining smoking history, pleural retraction, TLG, SUV max and HI, and the AUC was 0.908, with the sensitivity of 88.33%(53/60) and the specificity of 68.97%(60/87). The difference of AUCs between HI and the predictive model was statistically significant ( z=3.71, P<0.001). Conclusion:HI can predict EGFR mutations better, and the predictive value for EGFR mutations can be enhanced when combining HI with smoking history, pleural retraction, TLG and SUV max.

Analyzing polysorbate 20(PS20)composition and the impact of each component on stability and safety is crucial due to formulation variations and individual tolerance.The similar structures and polarities of PS20 components make accurate separation,identification,and quantification challenging.In this work,a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography(HPLC)with charged aerosol detection(CAD)to separate 18 key components with multiple esters.The separated components were characterized by ultra-high-performance liquid chro-matography-quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)with an identical gradient as the HPLC-CAD analysis.The polysorbate compound database and library were expanded over 7-time compared to the commercial database.The method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process relationship.UHPLC-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different sources.The method observed the impact of 4 degradation conditions on peak components,identifying stable components and their tendencies to change.HPLC-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences,distinguishing quasi products.

Background::Evaluating the impact of digestive system diseases is vital for devising effective prevention strategies. However, comprehensive reports on the burden of digestive system diseases in China are lacking. Our study aimed to provide an overview of the burden and trends of digestive system diseases from 1990 to 2019 in China and its provinces.Methods::This cross-sectional study utilized the Global Disease Burden Study 2019 to estimate the incidence, mortality rate, disability-adjusted life years (DALYs), years of life disability, years of life lost, and changes in the burden of digestive diseases across Chinese provinces from 1990 to 2019. The analysis of disease burden primarily examines the characteristics of sub-disease distribution, time trends, age distribution, and sex distribution. Additionally, we compared provincial age-standardized DALYs for digestive diseases with the expected rates based on the socio-demographic index (SDI).Results::In 2019, there were 499.2 million cases of digestive system diseases in China, resulting in 1,557,310 deaths. Stomach cancer, colon and rectal cancer, and esophageal cancer are the top three diseases associated with mortality and DALY related to digestive system diseases. Meanwhile, cirrhosis and other chronic liver diseases, gastroesophageal reflux disease, and gallbladder and biliary diseases are the top three kinds of diseases with the highest prevalence among digestive system diseases. The risk of gastric cancer sharply increases among men after the age of 40 years, leading to a significant disparity in burden between men and women. As the SDI increased, the DALYs associated with digestive system diseases in China and its provinces showed a downward trend.Conclusion::Our study highlights the inverse correlation between DALYs associated with digestive system diseases and the SDI.

Objective To explore the clinical efficacy of Chinese herbal medicine with the actions of invigorating spleen,activating blood and resolving phlegm in the treatment of senile insomnia based on the theory of"muscular atrophy,qi-passage blockage"recorded in Huang Di Nei Jing(The Yellow Emperor's Inner Classic,shortened as Nei Jing).Methods A total of 120 elderly patients with insomnia were randomly divided into observation group and control group,with 60 cases in each group.The control group was treated with oral use of Dexzopiclone Tablets,and the observation group was treated with oral use of decoction of Chinese herbal medicine for invigorating spleen,activating blood and resolving phlegm.The course of treatment covered 4 weeks.Before and after treatment,the two groups were observed in the changes of Pittsburgh Sleep Quality Index(PSQI)score,Insomnia Severity Index(ISI)score,polysomnography(PSG)related parameters of total sleep time(TST),number of awakenings(AN)and sleep latency(SL),mean blood flow velocity of anterior cerebral artery(ACA),middle cerebral artery(MCA),and posterior cerebral artery(PCA),and serum levels of 5-hydroxytryptamine(5-HT)and melatonin(MT).After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)After 4 weeks of treatment,the total effective rate of the observation group was 93.33%(56/60),which was slightly higher than 90.00%(54/60)of the control group,but the difference was not statistically significant(P＞0.05).(2)After treatment,the item scores and total scores of PSQI in the two groups were lower than those before treatment(P＜0.05),and the decrease of the scores of sleep quality,sleep time,sleep efficiency,and daytime function as well as total scores in the observation group was significantly superior to that in the control group(P＜0.05).However,there was no significant difference of time for falling asleep and sleep disorder scores between the two groups(P＞0.05).After 4 weeks of drug withdrawal,the item scores of PSQI in the observation group continued to decrease compared with those after treatment(P＜0.05),but there was no significant difference in the control group(P＜0.05).(3)After treatment,the ISI scores in the two groups were decreased when compared with those before treatment(P＜0.05),and the decrease in the observation group was superior to that in the control group(P＜0.05).After 4 weeks of drug withdrawal,the ISI score of the observation group continued to decrease compared with that after treatment(P＜0.05),while the control group had no significant change,and the difference was not statistically significant(P＞0.05).(4)After treatment,the PSG related parameters such as TST,AN and SL in the two groups were improved when compared with those before treatment(P＞0.05),and the improvement of TST and AN in the observation group was superior to that in the control group(P＞0.05).(5)After treatment,the mean blood flow velocity of ACA,MCA and PCA in the observation group was improved compared with that before treatment(P＜0.05),while there was no significant change in the control group compared with that before treatment(P＞0.05).The improvement of the mean blood flow velocity of ACA,MCA and PCA in the observation group was significantly superior to that in the control group(P＜0.05).(6)After treatment,the levels of serum 5-HT and MT in the two groups were increased when compared with those before treatment(P＜0.05),and the increase in the observation group was superior to that in the control group(P＜0.05).(7)The incidence of adverse reactions in the observation group was 5.00%(3/60),which was slightly lower than 13.33%(8/60)in the control group,but the difference was not statistically significant(P＞0.05).Conclusion Based on the theory of"muscular atrophy,qi-passage blockage"recorded in Nei Jing,the Chinese herbal medicine for invigorating spleen,activating blood and resolving phlegm exerts certain effect in treating senile insomnia.It can effectively improve the sleep quality and daytime function of patients,enhance sleep efficiency,increase sleep time,reduce the number of awakenings,alleviate the severity of insomnia,improve brain function,and regulate the level of neurotransmitters,with remarkably long-term effect and reliable safety.

ObjectiveThe objective is to investigate the possibility of isocenter dual-guided resetting of surface guided radiation therapy （SGRT） combined with image guided radiation therapy （IGRT） in postoperative radiotherapy for breast cancer. To assess the setup error accuracy between the new resetting mode and the traditional resetting mode. MethodsRetrospective analysis was performed on breast cancer patients who underwent ELEKTA infinity accelerator radiotherapy in sun yat-sen university cancer center from July 13， 2021 to October 15， 2022. According to different reset methods， the patients were divided into a simulation group （41 cases） and a dual-guided group （40 cases）. The simulation group was reset using a simulator， CBCT scans were performed and setup errors were recorded during the first treatment； The dual-guided group was guided by AlignRT and combined with CBCT for isocenter dual-guided resetting， and the setup error obtained by CBCT registration was recorded. The global setup errors of chest region of interest （CROI） ， the local residual errors of supraclavicular region of interest （SROI） and the resetting time of the two reset methods were calculated and compared respectively. The advantages of the CBCT error distribution in the dual-guided resetting of SGRT combined with IGRT were analyzed. ResultsThe median of the global setup errors （X/cm， Y/cm， Z/cm， Rx°， Ry°， Rz°） of the simulation group and the median of the dual-guided group in the CROI were statistically significant （P<0.05） except the Rz and Ry directions. The local residual errors of the two groups of the SROI were calculated. The median of the errors of X/cm， Y/cm， Z/cm， Rx°， Ry°， Rz° were statistically significant （P<0.05） except the X and Y axis. The resetting time of the simulation group was significantly longer than that of the dual-guided group （238.64±28.56） s， t=-24.555， P=0.000， and the difference was statistically significant （P<0.05）. The CBCT error distribution of the dual-guide group was analyzed， and it was found that the absolute values of translation errors of X， Y and Z axis were all within 0.4 cm， while the proportions of ≤ 0.3 cm were 95%， 93% and 93%， respectively. The proportions of rotation errors of Rx， Ry and Rz ≤ 1.5 ° were 90%， 93% and 90%， respectively. ConclusionIn postoperative radiotherapy of breast cancer， SGRT combined with IGRT for isocenter dual-guided resetting can effectively correct the rotational setup errors and residual errors， and improve the accuracy of radiotherapy with less resetting time and high feasibility， which compared with the traditional simulator resetting mode. This precise， unmarked resetting method can be widely used in clinical practice.

By various chromatographic techniques and extensive spectroscopic methods, 17 abietane diterpenoids were isolated from the dichloromethane fraction of the 95% ethanol cold-soak extracts of the seeds of Pseudolarix amabilis, namely pseudoamaol A(1), 12α-hydroxyabietic acid(2), 12-methoxy-7,13-abietadien-18-oic acid(3), 13-hydroxy-8,11,13-podocarpatrien-18-oic acid(4), 15-hydroxy-7,13-abietadien-12-on-18-oic acid(5), 8(14)-podocarpen-13-on-18-oic acid(6), holophyllin K(7), metaglyptin B(8), 7α-hydroxydehydroabietinsaure-methylester(9), 7-oxodehydroabietic acid(10), 15-hydroxy-7-oxodehydroabietinsaure-methy-lester(11), 15-methoxydidehydroabietic acid(12), 7-oxo-15-hydroxy-dehydroabietic acid(13), 15-hydroxydehydroabietic acid(14), 8,11,13-abietatriene-15,18-diol(15), 8,11,13-abietatriene-15-hydroxy-18-succinic acid(16), and 7β-hydroxydehydroabie-tic acid(17). Compound 1 was a new compound. The isolated compounds were evaluated for their antitumor activities(HepG2, SH-SY5Y, K562), and compounds 8 and 17 showed potential cytotoxic activity against K562 cells, with IC_(50) values of 26.77 and 37.35 μmol·L~(-1), respectively.
Humans ; Molecular Structure ; Neuroblastoma ; Diterpenes/chemistry* ; Antineoplastic Agents

Literature regarding the impacts of heavy metal exposure on erectile dysfunction (ED) is scarce. We aimed to evaluate the correlation between 10 urinary metals and ED in a large, nationally representative adult male sample. The dataset was extracted from the National Health and Nutrition Examination Survey (NHANES) during the period of 2001-2002 and 2003-2004. Weighted proportions and multivariable logistic regression analysis adjusted for confounding variables were utilized to determine the relationship between metal exposure and ED. Weighted quantile sum (WQS) regression was utilized to evaluate the impact of a mixture of urinary metals on ED. A total of 1328 participants were included in our study. In multivariable logistic regression analysis, cobalt (Co) and antimony (Sb) were positively associated with ED (odds ratio [OR]: 1.36, 95% confidence interval [CI]: 1.10-1.73, P = 0.020; and OR: 1.41, 95% CI: 1.12-1.77, P = 0.018, respectively) after full adjustment. Men in tertile 4 for Co (OR: 1.49, 95% CI: 1.02-2.41, P for trend = 0.012) and Sb (OR: 1.53, 95% CI: 1.08-2.40, P for trend = 0.041) had significantly higher odds of ED than those in tertile 1. Furthermore, the WQS index was significantly linked with increased odds of ED after full adjustment (OR: 1.31, 95% CI: 1.04-1.72, P < 0.05). Our study expanded on previous literature indicating the possible role of heavy metal exposure in the etiology of ED. The evaluation of heavy metal exposure should be included in the risk assessment of ED.
Adult ; Humans ; Male ; United States ; Erectile Dysfunction/etiology* ; Nutrition Surveys ; Metals, Heavy ; Risk Assessment

OBJECTIVE: To develop and validate a nomogram for predicting outcomes of patients with gastric neuroendocrine neoplasms (G-NENs). METHODS: We retrospectively collected the clinical data from 490 patients with the diagnosis of G-NEN at our medical center from 2000 to 2021. Log-rank test was used to analyze the overall survival (OS) of the patients. The independent risk factors affecting the prognosis of G-NEN were identified by Cox regression analysis to construct the prognostic nomogram, whose performance was evaluated using the C-index, receiver-operating characteristic (ROC) curve, area under the ROC curve (AUC), calibration curve, DCA, and AUDC. RESULTS: Among the 490 G-NEN patients (mean age of 58.6±10.92 years, including 346 male and 144 female patients), 130 (26.5%) had NET G1, 54 (11.0%) had NET G2, 206 (42.0%) had NEC, and 100 (20.5%) had MiNEN. None of the patients had NET G3. The numbers of patients in stage Ⅰ-Ⅳ were 222 (45.3%), 75 (15.3%), 130 (26.5%), and 63 (12.9%), respectively. Univariate and multivariate analyses identified age, pathological grade, tumor location, depth of invasion, lymph node metastasis, distant metastasis, and F-NLR as independent risk factors affecting the survival of the patients (P < 0.05). The C-index of the prognostic nomogram was 0.829 (95% CI: 0.800-0.858), and its AUC for predicting 1-, 3- and 5-year OS were 0.883, 0.895 and 0.944, respectively. The calibration curve confirmed a good consistency between the model prediction results and the actual observations. For predicting 1-year, 3-year and 5-year OS, the TNM staging system and the nomogram had AUC of 0.033 vs 0.0218, 0.191 vs 0.148, and 0.248 vs 0.197, respectively, suggesting higher net benefit and better clinical utility of the nomogram. CONCLUSION The prognostic nomogram established in this study has good predictive performance and clinical value to facilitate prognostic evaluation of individual patients with G-NEN.
Humans ; Male ; Female ; Middle Aged ; Aged ; Nomograms ; Retrospective Studies ; Prognosis ; Neoplasm Staging ; Stomach Neoplasms/pathology*