As one of the core pathogenesis during treatment with traditional Chinese medicine，liver heat runs through different stages of liver disease. The interpretation of its meaning in different medicine categories（traditional Chinese medicine，Tibetan medicine，Mongolian medicine，Uygur medicine，Dai medicine，Yao medicine，etc.） is not unified， and the phenomena of the same name with different meanings，confusion， and misappropriation emerge. This seriously restricts the inheritance，innovation， and clinical application of traditional Chinese medicine and ethnomedicine. By tracing and analyzing liver heat， it is found that liver heat in traditional Chinese medicine is caused by disordered rest and diet， as well as internal injury due to emotional disorder， which leads to liver dysfunction， Qi stagnation， and heat turning to fire in the liver meridian. The liver heat in Tibetan medicine is caused by the accumulated heat of the liver nature and the evil heat in the liver， which stimulates the toxin of Chiba fever. The liver heat in Mongolian medicine derives from the abnormal diet and rest， making excessive Sheila accumulate in the liver and causing disease. The above etiologies are all related to diet， rest，exogenous evil，emotion，and so on， and the pathogenesis is related to the imbalance of Qi and the metabolic disorder of organs. The clinical symptoms are pain in the liver region，yellow eyes， bitter mouth， fever，digestion，and loss of appetite. The principle of treatment and compatibility of prescription are heat-based， with auxiliary detoxification. Other ethnomedicine， such as Uygur medicine， Dai medicine， Yao Medicine，Miao medicine， and She medicine do not have a clear discussion on liver heat，and their etiology， pathogenesis， treatment，and prescription are not systematic，mostly based on a single drug or proven prescriptions.Through the systematic tracing，mining，induction，analysis， and arrangement of the liver heat based on existing literature information database in China，this paper regarded syndrome as the outline and disease as the goal，clarified the similarities and differences of the pathogenesis of liver heat in traditional Chinese medicine，and determined the relationship between liver heat and liver disease and the status quo of syndrome and treatment.This review provides evidence and reference for clinical prevention and treatment，as well as drug development for liver disease.

Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose significant challenges to their precise identification and classification. Traditional diagnostic approaches rely heavily on physicians' experience, which increases the risk of misdiagnosis and missed diagnoses. With the rapid advancement of computer-aided diagnosis (CAD) technologies, applying deep learning algorithms to the analysis of thyroid nodule ultrasound images has shown great potential. This paper reviews the latest research progress on deep learning-based CAD methods for thyroid nodules, with a focus on their applications in image preprocessing, segmentation and classification. The advantages and limitations of current techniques are analyzed, and potential future directions are discussed. This review aims to highlight the potential of deep learning in thyroid nodule diagnosis and to provide a foundation for selecting feasible pathways for future clinical applications.
Humans ; Thyroid Nodule/diagnostic imaging* ; Deep Learning ; Ultrasonography/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Thyroid Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

Objective To elucidate the molecular mechanism by which exosomes (Exo) derived from cancer-associated fibroblasts (CAF) carrying HOX transcript antisense intergenic RNA (lncRNA HOTAIR) promote the metastasis of esophageal squamous cell carcinoma (ESCC). Methods CAFs were collected from tumor tissues, and non-cancer associated fibroblasts (NFs) were obtained from adjacent normal tissues at least 5 cm away from the tumor. Exosomes (CAFs-Exo and NFs-Exo) were isolated from conditioned media collected from CAFs or NFs. CAFs-Exo and NFs-Exo were incubated with human ESCC cell line TE-1 for 24 hours, and CCK-8 was used to determine the cell proliferation ability. Scratch test and Transwell test were performed to determine the cell migration and invasion ability. TE-1 cells were divided into the following two groups: NC group and KD group. The NC group and KD group were transfected with control siRNAs or siRNAs targeting HOTAIR respectively. The effects of HOTAIR knock-down on cell proliferation, migration, invasion and glycolysis were determined. Results CAFs-Exo promoted the proliferation of TE-1 cells more significantly than NFs-Exo. Compared with NFs-Exo group, the migration and invasion ability of TE-1 cells treated with CAFs-Exo were improved significantly. In addition, CAFs-Exo treatment inhibited the expression of E-cadherin and enhanced the expression of N-cadherin. The expression of HOTAIR in CAFs was significantly higher than that in NFs. Compared with NFs-Exo, the expression level of HOTAIR in CAFs-Exo increased significantly. Compared with NC group, the proliferation, migration and invasion of TE-1 cells in KD group decreased significantly. Compared with NC group, hexokinase 2 (HK2), extracellular acidification rate (ECAR) and ATP/ADP ratio of TE-1 cells in KD group decreased significantly. Conclusion HOTAIR, an exosome derived from CAFs, may be involved in metastasis and EMT by regulating glycolysis in ESCC cells.
Humans ; RNA, Long Noncoding/metabolism* ; Esophageal Neoplasms/metabolism* ; Cell Movement/genetics* ; Cell Proliferation/genetics* ; Cell Line, Tumor ; Esophageal Squamous Cell Carcinoma ; Exosomes/genetics* ; Neoplasm Metastasis ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic ; Glycolysis/genetics* ; Cancer-Associated Fibroblasts/metabolism* ; Carcinoma, Squamous Cell/metabolism* ; Cadherins/genetics*

Glioma, the most prevalent primary tumor of the central nervous system (CNS), is also the most lethal primary malignant tumor. Currently, there are limited chemotherapeutics available for glioma treatment, necessitating further research to identify and develop new chemotherapeutic agents. A significant approach to discovering anti-glioma drugs involves isolating antitumor active ingredients from natural products (NPs) and optimizing their structures. Additionally, targeted drug delivery systems (TDDSs) are employed to enhance drug solubility and stability and overcome the blood-brain barrier (BBB). TDDSs can penetrate deep into the brain, increase drug concentration and retention time in the CNS, and improve the targeting efficiency of NPs, thereby reducing adverse effects and enhancing anti-glioma efficacy. This paper reviews the research progress of anti-glioma activities of NPs, including alkaloids, polyphenols, flavonoids, terpenoids, saponins, quinones, and their synthetic derivatives over the past decade. The review also summarizes anti-glioma mechanisms, such as suppression of related protein expression, regulation of reactive oxygen species (ROS) levels, control of apoptosis signaling pathways, reduction of matrix metalloproteinases (MMPs) expression, blocking of vascular endothelial growth factor (VEGF), and reversal of immunosuppression. Furthermore, the functions and advantages of NP-based TDDSs in anti-glioma therapy are examined. The key information presented in this review will be valuable for the research and development of NP-based anti-glioma drugs and related TDDSs.
Humans ; Glioma/metabolism* ; Biological Products/therapeutic use* ; Animals ; Brain Neoplasms/genetics* ; Drug Delivery Systems ; Antineoplastic Agents/therapeutic use* ; Blood-Brain Barrier/metabolism* ; Apoptosis/drug effects*

Chlorobenzene contaminants (CBs) pose a threat to the eco-environment, and functional strains hold considerable potential for the remediation of CB-contaminated sites. To deeply explore the application potential of functional bacteria in the in-situ bioremediation of CBs, this study focused on the biodegradation characteristics and degradation kinetics of CB and 1, 2-dichlorobenzene (1, 2-DCB) in soil by the isolated strain Serratia marcescens TF-1. Additionally, an in-situ remediation trial was conducted with this strain at a chemical industrial site. Batch serum bottle experiments showed that the degradation rate of CB at the concentrations ranging from 20 to 200 mg/L by TF-1 was 0.22-0.66 mol/(g_cell·h), following the Haldane model, with the optimal concentration at 23.12 mg/L. The results from simulated soil degradation experiments indicated that the combined use of TF-1 and sodium succinate (SS) significantly enhanced the degradation of CBs, with the maximum degradation rate of CB reaching 0.104 d^-1 and a half-life of 6.66 d. For 1, 2-DCB, the maximum degradation rate constant was 0.068 7 d^-1, with a half-life of 10.087 d. The in-situ remediation results at the chemically contaminated site demonstrated that the introduction of bacterial inoculant and SS significantly improved the removal of CBs, achieving the removal rates of 84.2%-100% after 10 d. CB, 1, 4-dichlorobenzene (1, 4-DCB), and benzo[a]pyrene were completely removed. Microbial diversity analysis revealed that the in-situ remediation facilitated the colonization of TF-1 and the enrichment of indigenous nitrogen-fixing Azoarcus, which may have played a key role in the degradation process. This study provides a theoretical basis and practical experience for the in situ bioremediation of CBs-contaminated sites.
Chlorobenzenes/isolation & purification* ; Biodegradation, Environmental ; Soil Pollutants/isolation & purification* ; Serratia marcescens/metabolism* ; Industrial Waste ; Soil Microbiology

Objective:To compare the clinical efficacy of neoadjuvant chemoradiotherapy (nCRT) and neoadjuvant chemo-immunotherapy (nCIT) for locally advanced esophageal squamous cell carcinoma (ESCC).Methods:Clinical data of patients who received nCRT or nCIT followed by esophagectomy for locally advanced ESCC between January 2010 and December 2022 were retrospectively collected from Zhejiang Cancer Hospital, with 155 patients in the nCRT group and 470 patients in the nCIT group. Propensity score matching (PSM) was performed in the two groups. After PSM, 120 patients were allocated to the nCRT group and 192 patients to the nCIT group. The pathological response and disease recurrence were compared between the two groups after PSM. Log rank test were used to compare the survival outcomes before and after PSM. Univariate and multivariate Cox regression analyses were performed to identify the prognostic factors for locally advanced ESCC.Results:After PSM, the R0 resection rate in the nCRT group and the nCIT group was 93.3% (112/120) and 93.8% (180/192), respectively, with no statistical significance ( P=0.884). However, the pathological complete response rate in the nCRT group [36.7% (44/120)] was higher than that in the nCIT group [21.4% (41/192), P=0.003]. For patients with R0 resection, the major recurrence pattern was distant metastasis [18.8% (21/112)] in the nCRT group, while the pattern was locoregional recurrence [12.2% (22/180)] in the nCIT group. The 3-year disease-free survival rates were 52.7% and 66.1% ( P=0.022) and the 3-year overall survival rates were 59.2% and 75.5% ( P=0.002) in the nCRT and nCIT groups, respectively. Multivariate Cox regression analysis also revealed that the neoadjuvant therapy mode was an independent prognostic factor for patients with locally advanced ESCC. Compared with nCRT, nCIT could significantly prolong disease-free survival ( HR=0.58, 95% CI: 0.40-0.86) and overall survival ( HR=0.53, 95% CI: 0.35-0.79). Conclusion:These results suggest that nCIT could significantly improve disease-free survival rate and overall survival rate over nCRT in locally advanced ESCC, even with lower pathological complete response rate.

Objective To analyze the effect of lumbar bone marrow composition on bone marrow diffu-sion-weighted imaging(DWI)in healthy adult women.Methods Retrospective analysis was performed on up-per abdominal MRI of 103 adult women.Bone marrow fat fraction of lumbar vertebra was measured according to two-point water-lipid separation technique,and apparent diffusion coefficient(ADC)value of lumbar verte-bra was measured according to DWI image(b=800 s/mm2).The subjects were divided into the high-signal group and the equal-low-signal group according to the signal intensity of lumbar vertebra and adjacent erector spine muscles.The effects of age,lumbar bone marrow fat fraction and menstrual status on the signal intensity and ADC value of lumbar bone marrow diffusion were analyzed.Finally,the correlation between lumbar bone marrow fat fraction and ADC value was analyzed.Results Univariate analysis showed that the lumbar bone marrow diffusion signal intensity and ADC value were affected by age,lumbar bone marrow fat fraction and menstrual status(P＜0.001).Multivariate analysis showed that age(P=0.046)and lumbar bone marrow fat fraction(P=0.005)were the influencing factors of lumbar bone marrow diffusion signal intensity,but men-strual status(P=0.242)was not the influencing factor.In addition,lumbar bone marrow fat fraction(P＜0.001)was the factor influencing the ADC value of lumbar bone marrow,and the two were negatively correla-ted(r=-0.607,P＜0.001),but age(P=0.497)and menstrual status(P=0.082)were not the influencing factors.Conclusion The bone marrow composition of lumbar vertebrae in healthy adult women has significant effects on the signal intensity and ADC value of bone marrow diffusion.

Objective:On the basis of post evaluation,the hospital pharmacy posts are scientifically classified and stratified,and the performance evaluation standard of pharmacy posts is constructed.Methods:The hospital pharmacy posts are classified and stratified by factor comparison method and the post value coefficient is determined.Delphi method and analytic hierarchy process are used to construct the performance evaluation index system of pharmaceutical posts and determine the performance evaluation standards.Results:Pharmacy posts in hospitals are divided into 5 categories,including clinical pharmacists,research pharmacists,static pharmacists,dispensing pharmacists and purchasing pharmacists.The indexes and weights of pharmaceutical post performance evaluation are determined from 4 dimensions:service,process,quality and cost,and the evaluation standard of pharmaceutical post performance oriented to rational drug use is established.Conclusion:The construction of pharmaceutical performance evaluation system meets the requirements of the reform of public hospitals for the transformation and development of pharmaceutical services,which is conducive to enhancing the enthusiasm of pharmaceutical personnel and improving the efficiency and benefit of pharmaceutical services.

Objective To explore the value of artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia(CAP)in children.Methods Totally 900 cases of CAP children from 2 hospitals were retrospectively enrolled,including bacterial,viral and mycoplasma CAP(each n=300),and chest posteroanterior X-ray films were collected.Meanwhile,chest posteroanterior X-ray films of 5856 children from the publicly available dataset GWCMCx were collected,including 4273 CAP images and 1583 healthy chest images.All above 6756 images were divided into training set(n=5359)and validation set(n=1397)at the ratio of 8∶2.Then a pathogen diagnosis model of children CAP was established based on attention mechanism.Binary and ternary diagnostic algorithms were designed,and federated deployment training was performed.The efficacy of this system for pathogen diagnosis of children CAP was analyzed and compared with DenseNet model.Results Based on all data,the accuracy of the obtained artificial intelligence federated learning system model for diagnosing children CAP was 97.00%,with the area under the curve(AUC)of 0.990.Based on hospital data,the AUC of this system using single imaging data and clinical-imaging data for pathogen diagnosis of children CAP was 0.858 and 0.836,respectively,both better than that of DenseNet model(0.740,both P＜0.05).Conclusion The artificial intelligence federated learning system based on chest X-ray films could be used for pathogen diagnosis of children CAP.