Background Staff in tertiary hospitals are a high-risk group for occupational burnout. Timely identification and precise intervention are crucial for improving healthcare service quality. However, comparative studies on perceived stress and occupational burnout among hospital staff in different positions are lacking. Objective To describe the status of perceived stress and occupational burnout among hospital staff in different positions and compare the differences, explore the relationship between perceived stress and occupational burnout, and identify the influencing factors of occupational burnout. Methods In May 2022, 1526 hospital staff members were selected by convenience sampling from six tertiary hospitals in Guangzhou. Data were collected using a general information questionnaire, the Chinese Perceived Stress Scale (CPSS), and the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) to assess demographic characteristics, perceived stress, and occupational burnout. Chi-square test, one-way ANOVA, and Kruskal-Wallis H test were used to compare differences in perceived stress and occupational burnout among staff in different positions. Pearson correlation analysis was used to explore possible correlation between perceived stress and occupational burnout. Multiple linear regression was conducted to identify influencing factors of occupational burnout. Results A total of 1388 valid questionnaires were collected, with an effective response rate of 90.96%. Among them, 437 nurses (57.0%), 273 physicians (58.6%), 24 pharmacists (57.1%), and 62 administrators (54.9%) reported positive perceived health risk stress (P=0.892). Additionally, 392 nurses (51.1%), 213 physicians (45.7%), 19 pharmacists (45.2%), and 53 administrators (46.9%) reported positive occupational burnout (P=0.005). Perceived stress was positively correlated with occupational burnout among nurses, physicians, pharmacists, and administrators (r=0.5973, 0.5687, 0.5464, and 0.5276, respectively; P＜0.01). The multiple linear regression identified perceived stress (b=1.4587, P＜0.001), job satisfaction (b=−7.4195, P＜0.001), self-rated health (b=−2.0428, P＜0.001), working years (b=−0.1135, P=0.016), and being a nurse (compared with an administrators) (b=3.2435, P=0.045) as significant factors for occupational burnout (P<0.001). Conclusion Perceived health risk stress and occupational burnout are common among hospital staff, with nurses experiencing significantly higher levels of occupational burnout compared to other positions. Hospital managers should pay more attention to staff with higher perceived stress, lower job satisfaction, poorer self-rated health, and shorter working years, particularly nurses.

OBJECTIVES: To investigate the effect of Ching Shum Pills (CSP) for alleviating non-alcoholic fatty liver disease (NAFLD) and the underlying mechanism. METHODS: In a mouse model of NAFLD, the therapeutic effect of CSP was evaluated by measuring serum glucose, lipid profiles (TC, TG, LDL-C, HDL-C), and hepatic function markers. Network pharmacology was employed to identify active compounds in CSP and their targets using TCMSP, HERB, SwissTargetPrediction, GeneCards, OMIM, and DisGeNET. Protein-protein interaction (PPI) networks, Gene Ontology (GO), and KEGG pathway analyses were conducted. Molecular docking (AutoDock Vina) was used to assess the compound-target binding affinities. Quantitative real-time PCR (qRT-PCR) was used to validate the mRNA expressions of the core genes in the liver tissue of the mouse models. RESULTS: In the mouse model of NAFLD, treatment with CSP significantly reduced body weight gain and serum TG levels of the mice, and high-dose CSP treatment resulted in obvious reduction of ALT levels and hepatic fat accumulation. Network pharmacology analysis identified quercetin and 2-monolinolenin as the key bioactives in CSP, which target TNF, AKT1, IL6, TP53, and ALB. Docking simulations suggested strong binding between the two core compounds and their target proteins. The results of qRT-PCR showed that high-fat diet induced significant downregulation of Tp53, Cpt1, and Ppara expressions in mice, which was effectively reversed by CSP treatment. CONCLUSIONS CSP can improve lipid metabolism disorders in NAFLD mice through a regulatory mechanism involving multiple targets and pathways to reduce liver fat accumulation and protect liver function. The key components in CSP such as quercetin and linolenic acid monoacylglycerol may participate in the regulation of such metabolic processes as fatty acid oxidation by targeting TP53.
Animals ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Lipid Metabolism/drug effects* ; Molecular Docking Simulation ; Disease Models, Animal ; Liver/metabolism* ; Male ; Lipid Metabolism Disorders/drug therapy* ; PPAR alpha/metabolism* ; Mice, Inbred C57BL ; Network Pharmacology

Therapies for tumors continue to develop,and tumor immunotherapy has emerged as an effective means of controlling tumor progression.Given the limitations of immunotherapy,only some specific patients can benefit from immunotherapy.Since the complex tumor microenvironment is highly influenced by individual variability,immunotherapy will be subjected to different degrees of immune suppression in different tumor microenvironments and thus cannot exert its full effect.In the tumor microenvironment,regulatory T(Treg)cell plays as an immunosuppressive role.Numerous Treg cells infiltrate in indifferent tumor types,resulting in immune escape of tumor tissues,which will have a negative impact on treatment and prognosis.CC chemokine receptor 8(CCR8)belongs to the CC chemokine receptor family.CCR8 is specifically expressed on Treg cell in the tumor microenvironment and expressed at low level in the surrounding normal tissues and peripheral blood thus it can be a specific marker for Treg cell.CCR8 is a potential therapeutic target and biomarker.This review summarized the research progress of CCR8 in different tumor types in recent years,so as to provide reference for subsequent research.

Objective:To investigate the iodine nutrition level and thyroid function status of pregnant women in Hubei Province.Methods:According to the requirements of "the National Iodine Deficiency Disorders Monitoring Program (2016 Edition)", in 2020, using a cross-sectional survey method, two mountainous counties and two plain areas in Hubei Province were divided into five districts: east, west, south, north, and central. One township (street) was selected from each district, and 20 pregnant women were selected from each township (street) as survey subjects. Urine iodine content and thyroid function indicators [serum free triiodothyronine (FT 3), free thyroxine (FT 4), thyroid-stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb), thyroglobulin antibody (TgAb)] were tested. Abnormal thyroid function rate and antibody positive rate were analyzed, and correlation analysis of thyroid function indicators was conducted (Spearman method). Results:A total of 321 pregnant women were included, including 43, 114, and 164 in early, middle, and late pregnancy, respectively; The median urinary iodine was 164.80 μg/L. The median serum FT 3, FT 4, TSH, TPOAb, TgAb levels were 4.10, 12.83 pmol/L, 1.85 mU/L, 15.84 and 13.35 U/ml, respectively. There were statistically significant differences in FT 3, FT 4, and TSH levels among different trimesters ( P < 0.05). According to Spearman's correlation analysis, FT 3 in early stage of pregnancy was negatively correlated with TSH and TPOAb levels ( r = - 0.46, - 0.33, P < 0.05), while TSH was positively correlated with TPOAb level ( r = 0.33, P = 0.032); there was a positive correlation between FT 4 and TgAb levels in middle stage of pregnancy ( r = 0.21, P = 0.032); there was a negative correlation between FT 3 and TPOAb levels in late stage of pregnancy ( r = - 0.19, P = 0.017); FT 3 and FT 4, TPOAb and TgAb levels were positively correlated throughout pregnancy ( P < 0.05). There was no correlation between urinary iodine content and thyroid function indicators ( P > 0.05). The total abnormal rate of thyroid function was 7.79% (25/321), with 16.28% (7/43), 5.26% (6/114), and 7.32% (12/164) in early, middle, and late pregnancy, respectively. There was no statistically significant difference in the abnormal rate of thyroid function among different pregnancy periods (χ 2 = 4.83, P = 0.097). The detection rates of hypothyroxinemia, hypothyroidism, subclinical hypothyroidism, hyperthyroidism, and subclinical hyperthyroidism were 4.36% (14/321), 0.31% (1/321), 2.49% (8/321), 0.31% (1/321), and 0.31% (1/321), respectively. The positive detection rate of autospecific antibodies was 10.28% (33/321), with a TPOAb positive detection rate of 9.97% (32/321) and a TgAb positive detection rate of 5.30% (17/321). Conclusions:The iodine nutrition level of pregnant women in Hubei Province is at a suitable level, and the rates of abnormal thyroid function and thyroid autospecific antibody positive are relatively low. It is necessary to continuously monitor the iodine nutrition and thyroid function indexes of pregnant women, strengthen health education on the hazards of iodine deficiency during pregnancy, and minimize the harm to maternal and infant health caused by iodine deficiency.

An increasing number of studies in recent years have focused on the association between female endometrial microbiota and fertility.Once the endometrial microflora microecology is unbalanced,it will cause a series of endometrial lesions,thereby destroying endometrial receptivity,affecting embryo implantation,resulting in embryo implantation or implantation failure.Among them,the most concerned is the positive significance of lactobacillus-led microbiota on reproductive outcome.Although the relationship between endometrial microbiota and reproductive outcome has not reached a consensus,most studies recognize the positive impact of lactobacillus-led microbiota on reproductive outcome.In this review,the relationship between lactobacillus-dominated microbiota and reproductive outcome is reviewed.

OBJECTIVE To assess the profiles of elements in benzo[a]pyrene(BaP)induced carci-nogenesis,and explore the joint effects of copper with cisplatin or vinorelbine on cell proliferation.METHODS Forty-four elements were measured using an inductively coupled plasma mass spectrometer in 16HBE cells and BaP malignantly transformed 16HBE(T-16HBE-C1)cells.Partial least square was used to validate the robustness of cell classification of elements.Cell viability was measured by MTT assay for copper(0,237,340,487,1000 and 1432 μmol·L-1),cisplatin(0,4.4,6.1,8.6,12.0 and 16.8 μmol·L-1),and vinorelbine(0,3.8,9.8,25.0,40.0 and 64.0 μmol·L-1)to acquire their half maximal inhibitory concentra-tion(IC50).Mixtures of copper and chemotherapeutics were prepared according to the ratio of each IC50.Their joint effects on cell viability were assessed by MTT assay and isobolographic analysis.Inhibition effect of copper(0,50,100,200,400 and 800 μmol·L-1)with IC50 of cisplatin or vinorelbine on prolifera-tion of T-16HBE-C1 cells was also assessed.RESULTS A total of 29 elements were quantified in 16HBE and T-16HBE-C1 cells,among which concentrations of copper,zinc,silver,selenium and rubidium decreased(P<0.05,P<0.01),while those of molybdenum,arsenic,lithium,germanium,strontium,nickel,lanthanum,mercury,iron,and cesium increased(P<0.05,P<0.01)in T-16HBE-C1 cells.Element concen-tration could be used to distinguish T-16HBE-C1 cells from 16HBE cells.Copper concentration-dependently inhibited proliferation of both cells,with a statistically significant lower IC50 of(613±16)μmol·L-1 in 16HBE cells than(776±15)μmol·L-1 in T-16HBE-C1 cells(P<0.01).Mixtures of copper and cisplatin(1∶69.5)or vinorelbine(1∶33.4)could inhibit cell proliferation,and copper had additive effects with cisplatin or vinorelbine.When copper concentration was higher than 400 μmol·L-1,copper combined with IC50 of cisplatin or vinorelbine inhibited cell proliferation of T-16HBE-C1 cells compared with IC50 of cisplatin(11.2 μmol·L-1)or vinorelbine(23.2 μmol·L-1)alone.CONCLUSION Element profiles and correlations can change significantly after 16HBE cells are malignantly transformed by BaP.Copper could inhibit the proliferation of T-16HBE-C1 cells and have additive effects with cisplatin or vinorelbine in higher concentration.

Objective:To explore the value of salivary gland imaging based on deep learning and Delta radiomics in assessing salivary gland injury after 131I treatment in post-thyroidectomy thyroid cancer patients. Methods:A retrospective analysis on 223 patients (46 males, 177 females, age(47.7±14.0) years ) with papillary thyroid cancer, who underwent total thyroidectomy and 131I treatment in Affiliated Hospital of Guilin Medical University between December 2019 and January 2022, was conducted. All patients underwent salivary gland 99Tc mO 4- imaging before and after 131I therapy. The patients were categorized according to salivary gland function based on 99Tc mO 4- imaging results (normal salivary gland vs salivary gland injury), and divided into training and test sets in a ratio of 7∶3. A ResNet-34 neural network model was trained using images at the time of maximum salivary gland radioactivity and those based on background radioactivity counts for structured image feature data. The Delta radiomics approach was then used to subtract the image feature values of the two periods, followed by feature selection through t-test, correlation analysis, and the least absolute shrinkage and selection operator( LASSO) algorithm, to develop logistic regression (LR), support vector machine (SVM), and K-nearest neighbor (KNN) predictive models. The diagnostic performance of 3 models for salivary gland function on the test set was compared with that of the manual interpretation. The AUCs of the 3 models on the test set were compared (Delong test). Results:Among the 67 cases of the test set, the diagnostic accuracy of 3 physicians were 89.6%(60/67), 83.6%(56/67), and 82.1%(55/67) respectively, with the time required for diagnosis of 56, 74 and 55 min, respectively. The accuracies of LR, SVM, and KNN models were 91.0%(61/67), 86.6%(58/67), and 82.1%(55/67), with the required times of 12.5, 15.3 and 17.9 s, respectively. All 3 radiomics models demonstrated good classification and predictive capabilities, with AUC values for the training set of 0.972, 0.965, and 0.943, and for the test set of 0.954, 0.913, and 0.791, respectively. There were no significant differences among the AUC values for the test set ( z values: 0.72, 1.18, 1.82, all P>0.05). Conclusion:The models based on deep learning and Delta radiomics possess high predictive value in assessing salivary gland injury following 131I treatment after surgery in patients with thyroid cancer.