OBJECTIVE To provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules. METHODS Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography （HPLC） fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）. The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile， the contents of neochlorogenic acid （NGA）， chlorogenic acid （CHA）， cryptochlorogenic acid （CGA）， forsythoside A （FTA）， 3，5-O-dicaffeoylquinic acid （3，5-O- DA）， 4，5-O-dicaffeoylquinic acid （4，5-O-DA）， and angoroside C （AGC） in the samples were determined by HPLC. RESULTS The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples， and 7 of them were identified [NGA （peak 2）， CHA （peak 3）， CGA （peak 5）， FTA （peak 11）， 3，5-O-DA （peak 12）， 4，5-O-DA （peak 13）， and AGC （peak 14）]； the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories； the results of OPLS-DA indicated that peak 4 （unknown）， peak 11 （FTA）， peak 8 （unknown）， peak 9 （unknown）， and peak 1 （unknown） were the differential components. The content ranges of NGA， CHA， CGA， 3，5-O-DA， FTA， 4，5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7， 0.269 1-0.506 3， 0.228 1-0.461 1， 0.443 9-1.044 6， 0.066 7-0.155 7， 0.062 8-0.143 8， and 0.057 4-0.105 7 mg/g， respectively. CONCLUSIONS The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable， and can be used for the quality evaluation of Qingwen hufei granules.

Objective: To understand the dose response relationship between urinary fluoride and dental fluorosis among children from drinking water borne endemic fluorosis areas in Tianjin, so as to provide a scientific basis for assessing fluoride exposure risk among children from endemic areas and establishing reference values for urinary fluoride. Methods: From January to December 2024, 83 endemic villages were selected in Tianjin. A total of 2 382 children aged 8-12 years from these villages underwent dental fluorosis examination, along with water fluoride and urinary fluoride testing. Additionally, data from areas where the drinking water fluorosis control target was achieved for more than 12 years (10 villages, 50 people per village) were included as controls. A restricted cubic spline model was used to analyze the relationship between urinary fluoride levels and dental fluorosis prevalence, and benchmark dose (BMD) and benchmark dose lower bound (BMDL), as well as reference dose (RfD), were calculated using the benchmark dose method. Results: The prevalence rates of dental fluorosis among children in drinking water borne endemic fluorosis areas and areas of normal fluoride content in water in Tianjin were 10.58%, 7.60%, with a geometric mean urinary fluoride level of 0.72 and 0.60 mg/L,respectively. There were statistically significant differences in both dental fluorosis prevalence and geometric mean urinary fluoride levels between the drinking water borne endemic fluorosis areas group and the areas of normal fluoride content in water ( χ 2/Z = 4.05 , -7.31, both P <0.05). Across different periods of water source improvement, there were statistically significant differences in overall population, male, and female dental fluorosis prevalence rates and geometric mean urinary fluoride levels ( χ 2/H =44.95, 23.96, 21.05; 168.39, 63.93, 107.50, all P <0.01). Significant differences were also observed across age groups among children from drinking water borne endemic fluorosis areas in terms of dental fluorosis prevalence and geometric mean urinary fluoride levels ( χ 2/H =32.14, 79.73, both P <0.01). The results of the restricted cubic spline model showed that the risk of dental fluorosis in different sex, age and overall children in the drinking water borne endemic fluorosis areas increased significantly with rising urinary fluoride concentration(all P-general trend <0.05). The BMD value for the drinking water borne endemic fluorosis areas was 1.72 mg/L, the BMDL was 1.31 mg/L, and the RfD was 1.31 mg/L. Conclusions The prevalence of dental fluorosis among children in the drinking water borne endemic fluorosis areas in Tianjin has been effectively controlled, but it is still higher than that in the areas of normal fluoride content in water. Moreover, urinary fluoride levels and dental fluorosis prevalence among children from drinking water borne endemic fluorosis areas show a clear dose response relationship.

Hepatocellular carcinoma (HCC) is one of the fastest growing cancers in the world, ranking fourth among the causes of cancer-induced death in the world. At present, the field of HCC treatment is developing rapidly, and immunotherapy has been recognized as a promising treatment method, in which T cells play a key role in HCC immunotherapy. However, in the case of virus infection or in tumor microenvironment (TME), T cells will be continuously stimulated by antigens and then fall into the state of T cell exhaustion (Tex). This state will not only reduce the immunity of patients but also lead to poor efficacy of immunotherapy. Therefore, to deeply analyze the mechanism of Tex and to explore effective strategies to reverse Tex is the key point in the immunotherapy for HCC. This review aims to summarize the mechanism of Tex in HCC patients, and the current situation and shortcomings of drug research and development to reverse Tex at this stage, in order to provide theoretical basis for the optimization of immunotherapy regimen for HCC patients.
Humans ; Carcinoma, Hepatocellular/therapy* ; Liver Neoplasms/therapy* ; Immunotherapy/methods* ; T-Lymphocytes/immunology* ; Tumor Microenvironment/immunology* ; Animals ; T-Cell Exhaustion

Objective To explore the association between different levels of fluoride exposure and dyslipidemia in elderly people, and to analyze the influencing factors and their interactions. Methods A total of 1 143 elderly people over 60 years old were randomly selected from historical high water fluorosis areas and control areas in Tianjin. Logistic regression model and classification tree model were used to analyze the influencing factors of dyslipidemia, and to analyze the interaction between high fluoride exposure and relevant influencing factors on dyslipidemia. Results The prevalence of elevated low density lipoprotein cholesterol (LDL-C) was 5.69% (65/1 143). There was a significant difference in the prevalence of high LDL-C in different fluoride-exposed areas (2 = 0.092，P = 0.762). Multivariate logistic analysis showed that high fluoride exposure (OR=2.306，95%CI：1.185-4.491) and abdominal obesity (OR=2.274，95%CI：1.299-3.978) were risk factors for high LDL-C, while type B personality (OR=0.529，95%CI：0.308-0.908) was a protective factor for high LDL-C. The results of classification tree model showed that abdominal obesity contributed the most to the prevalence of high LDL-C in the elderly, followed by high fluoride exposure and hyperglycemia. There was a significant multiplicative interaction between high fluoride exposure and abdominal obesity on dyslipidemia (OR=5.191,95%CI：1.609-16.745，P=0.006). Conclusion High fluoride exposure may increase the risk of high LDL-C, and there is a multiplicative interaction between high fluoride exposure and abdominal obesity on dyslipidemia.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Establishing a scientific talent classification evaluation mechanism is of great significance for public hospitals to motivate and guide the career development of various types of talents and to promote the high-quality development of the health and medical care industry. However, university-affiliated hospitals had long faced issues such as an imperfect talent classification evaluation system, difficulty in setting evaluation indicators, a relatively monolithic evaluation method, and insufficient application of evaluation results. In 2019, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, initiated a talent stratification and classification management mechanism. The hospital established separate evaluation indicator systems for clinical, research, and teaching talents, and adhered to a value orientation that equally emphasizes medical care, teaching, and research. Additionally, a diversified evaluation mode was constructed, led by the hospital with the participation of peers and the public. Emphasis was also placed on linking evaluation results with talent development, rewards, and excellence awards. The initiative has achieved positive outcomes and can serve as a reference for talent management in other university-affiliated hospitals and relevant departments.

Objective:To explore the effect and mechanism of myricetin(Myr)on trinitrobenzenesulfonic acid(TNBS)-in-duced inflammatory bowel disease(IBD)in rats.Methods:IBD rat models were established and separated into Control group,Model group,low,medium and high dose Myr[28 mg/(kg·d),Myr-L,56 mg/(kg·d),Myr-M,112 mg/(kg·d),Myr-H]groups.The dis-ease activity index(DAI)of rats was scored.Immune function indicators and colon length were measured;reagent kits were applied to measure the levels of IL-6,IL-17A,TNF-α and cAMP in serum.MPO optical density values in colon tissue was detected.HE staining was applied to observe pathological changes in colon tissue.Flow cytometry was applied to determine the proportion of Treg cells.Results:Compared with the control group,the colon tissue cells in the model group were disordered in arrangement,with a large num-ber of inflammatory cell infiltrations,obvious ulcer phenomena,a large number of cell necrosis,mucosal edema and thickening of the colon wall,DAI score,IL-6,IL-17A and TNF-α levels,spleen index,thymus index and MPO optical density value was increased sig-nificantly(P<0.05),colon length,cAMP level and the proportion of Treg cells were significantly decreased(P<0.05).Compared with the model group,the colonic tissue cells in the low-dose,medium-dose and high-dose Myr groups of rats were arranged more neatly,cAMP membrane edema and colonic wall thickening were alleviated,and inflammatory cell infiltration,cell necrosis and ulceration phenomena were reduced,DAI score,levels of IL-6,IL-17A and TNF-α,spleen index,thymus index,and MPO optical density val-ue were gradually decreased(P<0.05),while the colon length,cAMP level,and the proportion of Treg cells were significantly in-creased(P<0.05).Conclusion:Myr may inhibit inflammation levels,regulate immune function,and exert protective effects on IBD rats.

Autophagy-lysosomal pathway (ALP) is the degradation system that remove unfolded proteins and damaged organelles in cells, and plays an important role in maintaining intracellular homeostasis.The process of autophagy mainly includes autophagosome formation, autophagosome-lysosome fusion, and degradation of cargoes in mature lysosomes by lysosomal enzymes.Dry eye disease, meibomian gland dysfunction and keratopathy are common ocular surface diseases associated with diabetes mellitus, and clinical manifestations include dry eyes, reduced tear secretion, persistent corneal epithelial defects, neuropathy (decreased corneal sensitivity) and endothelial cell dysfunction.Aberrant expression of gene, oxidative stress and inflammation related advanced glycosylation end products and reactive oxygen species are significant pathogenesis of ocular surface diseases related to diabetes.Moreover, the above pathogenesis involves defects of autophagy regulatory gene, abnormal expression of autophagy related protein and activation of autophagy signaling pathway which lead to the defects of ALP such as autophagosome lysosome fusion disorder, accumulation of cargoes and abnormal lysosomal function, and the deficiency of autophagy further promoting the oxidative stress and release of inflammatory factors.The occurrence and development of ocular surface diseases associated with diabetes are closely related to the defects of ALP.This article reviews the basic research status between the defects of ALP and diabetic ocular surface diseases to provide new ideas for the mechanism and treatment research.

Objective:To investigate the situation of mild cognitive impairment (MCI) in elderly people in fluorosis areas, and analyze its potential influencing factors.Methods:From April to October 2020, a cluster random sampling method was used to select local elderly people aged 60 and older in areas of drinking-water-borne endemic fluorosis in Tianjin, and their general information was collected through face-to-face surveys. Terminal drinking water samples were collected from survey subjects. Water fluoride concentration was measured using ion-selective electrode method. Cognitive function was evaluated using the Mini-Mental State Examination (MMSE), and survey subjects were categorized into MCI group and control group based on MMSE scores. Logistic regression and Chi-squared automatic interaction detection classification tree models were constructed to analyze the influencing factors of MCI.Results:A total of 677 subjects were included, including 160 cases in the MCI group and 517 cases in the control group, with a MCI detection rate of 23.63%. The detection rates of MCI in the high fluoride exposure group and non high fluoride exposure group were 30.82% (94/305) and 17.74% (66/372), respectively, with a statistically significant difference between the groups (χ 2 = 15.88, P < 0.001). The results of univariate analysis showed that MCI was associated with high fluoride exposure, age, per capita annual household income, sleep duration, personality, and interpersonal relationships (χ 2 = 15.88, 16.17, 12.32, 8.91, 14.03, 9.81, P < 0.05). The results of multiple logistic regression analysis showed that moderate interpersonal relationships ( OR = 2.13, 95% CI: 1.08, 4.20) and high fluoride exposure ( OR = 1.91, 95% CI: 1.03, 3.54) were both risk factors for MCI ( P < 0.05). The classification tree model analysis result showed that high fluoride exposure was the primary factor affecting MCI in elderly people in fluorosis areas, followed by per capita annual household income, personality, and age. Conclusions:The detection rate of MCI in the high fluoride exposure group of elderly people in fluorosis areas is higher than that in the non high fluoride exposure group. High fluoride exposure, interpersonal relationships, per capita annual household income, personality, and age are all influencing factors of MCI in elderly people in fluorosis areas.

Objective:To learn about the iodine nutrition status of pregnant women in Tianjin and analyze the influencing factors of moderate to severe iodine deficiency in pregnant women.Methods:From January 2022 to December 2024, a stratified random sampling method was adopted. Each year, five sampling areas were divided into the east, west, south, north and central directions in 16 districts of Tianjin. Ten pregnant women from one township/street in each area were selected for questionnaire surveys. Household salt samples and random urine samples were collected to measure salt iodine and urinary iodine levels. Multivariate logistic regression was used to analyze the influencing factors of moderate to severe iodine deficiency in pregnant women, and a restricted cubic spline model was used to analyze the dose-response relationship between the risk of moderate to severe iodine deficiency in pregnant women and salt iodine level.Results:A total of 2 532 pregnant women in Tianjin were surveyed, with an age of (30.70 ± 4.44) years. Among them, 53.20% (1 347/2 532) had received health education, and 52.45% (1 328/2 532) actively supplemented iodine. A total of 2 532 household salt samples of pregnant women were tested, with a median salt iodine level of 23.66 mg/kg. The coverage rate of iodized salt was 74.45% (1 885/2 532), the qualified rate of iodized salt was 87.59% (1 651/1 885), and the consumption rate of qualified iodized salt was 65.21% (1 651/2 532). A total of 2 532 urine samples of pregnant women were tested, with a median urinary iodine level of 151.68 μg/L. Among them, 652, 1 348 and 532 urine samples were collected from pregnant women in the early, middle, and late stages of pregnancy, respectively, with median urinary iodine levels of 150.80, 153.00 and 143.68 μg/L, respectively. Multivariate logistic regression analysis showed that consuming iodized salt was a protective factor for the moderate to severe iodine deficiency in pregnant women ( OR = 0.70, 95% CI: 0.58 - 0.86, P < 0.001). Restricted cubic spline analysis showed that there was a linear dose-response relationship between the risk of moderate to severe iodine deficiency in pregnant women and salt iodine level ( Poverall < 0.001, Pnonlinear = 0.065). Further stratified analysis revealed that there was a linear dose-response relationship between the risk of moderate to severe iodine deficiency in pregnant women who had received iodine supplementation and salt iodine level ( Poverall = 0.018, Pnonlinear = 0.554), while there was a nonlinear dose-response relationship between the risk of moderate to severe iodine deficiency in pregnant women who had not received iodine supplementation and salt iodine level ( Poverall < 0.001, Pnonlinear = 0.029). Conclusions:From 2022 to 2024, the overall iodine level of pregnant women in Tianjin is appropriate, but some pregnant women are at risk of iodine deficiency. Consuming iodized salt is a protective factor against the moderate to severe iodine deficiency in pregnant women. It is still necessary to further implement comprehensive prevention and control measures mainly based on iodized salt.