Objective:To identify the key epithelial cell characteristics that can accurately diagnose eosinophilic chronic sinusitis with nasal polyps（ECRSwNP） through nasal brush sampling and comparing with the pathological results of nasal polyp tissue sections. Methods:Ninety-one patients underwent surgery in the Ophthalmology and ENT Department of the Second People's Hospital of Longgang District, Shenzhen, from January 2022 to July 2024 were selected. The cohort comprised 58 males and 33 females（mean age: 41.4 years; range: 12.0-71.0）. The clinical characteristics of the patients, including gender, age, disease duration, smoking and drinking history, asthma history, subjective symptoms, sinus CT, and nasal endoscopy scores, were recorded. Nasal brush sampling of nasal polyps and inferior turbinate mucosa was performed before surgery to obtain cytological specimens, and nasal polyp tissues were collected during surgery. The demographic and clinical characteristics of patients with eosinophilic and non-eosinophilic nasal polyps were compared, as well as the relationship between nasal brush cytology of nasal polyps and inferior turbinate and nasal polyp histopathology. Statistical analysis was performed using SPSS 23.0 software. Results:Among the 91 patients, no significant differences were observed between ECRSwNP and NECRSwNP patients in terms of age, gender, smoking status, alcohol consumption, and disease duration. The nasal brush cell population in ECRSwNP patients was more likely to contain eosinophils（P<0.001） and less likely to contain lymphocytes and plasma cells（P<0.001）. Additionally, the ciliated cells in ECRSwNP patients exhibited larger widths（P=0.036）, shorter cilium lengths（P<0.001）, and more disordered arrangements（P<0.001） compared to NECRSwNP patients. In nasal brush cells from the inferior turbinate, ECRSwNP patients also showed shorter cilium lengths（P<0.001） and shorter cilia（P=0.024） compared to NECRSwNP patients. Conclusion:There are significant differences in obtaining epithelial cytological information from nasal polyps or inferior turbinates through nasal brush sampling between ECRSwNP and NECRSwNP patients.
Humans ; Male ; Female ; Middle Aged ; Adult ; Nasal Polyps/complications* ; Sinusitis/complications* ; Aged ; Chronic Disease ; Adolescent ; Nasal Mucosa/pathology* ; Young Adult ; Rhinitis/complications* ; Eosinophilia/pathology* ; Child ; Eosinophils/pathology* ; Rhinosinusitis

OBJECTIVE To investigate the improvement mechanism of Huatan tongmai decoction on rats with polycystic ovary syndrome （PCOS） by regulating autophagy through phosphatidylinositol-3-kinase（PI3K）/protein kinase B（AKT）/mammalian target of rapamycin （mTOR） pathway. METHODS A total of 40 rats were randomly divided into blank group （purified water）， model group （purified water）， traditional Chinese medicine group [Huatan tongmai decoction， 24 g/（kg·d）] and chemical drug group [metformin， 0.16 g/（kg·d）]， with 10 rats in each group. Except for blank group， other groups were given a combination of high-fat diet and intragastric administration of 1 mg/kg letrozole suspension to establish PCOS rat model. After modeling， they were given relevant medicine or water intragastrically， once a day， for 42 consecutive days. After the last administration， the pathological and ultrastructural changes of ovarian tissue were observed. The levels of follicle stimulating hormone （FSH）， testosterone （T）， estradiol （E2） ，luteinizing hormone （LH） in serum were detected，and the LH/FSH ratio was calculated. mRNA expressions of Beclin-1， p62 and microtubule-associated protein 1 light chain 3 （LC3） in ovarian tissue were detected. The expressions of related proteins of PI3K/AKT/mTOR pathway and autophagy in rat ovarian tissues were also detected. RESULTS Compared with blank group， the pathological damage and ultrastructural changes of the ovarian tissue in the model group rats were obvious， and a large number of autophagosomes could be seen in cells. The levels of T and LH and the LH/FSH ratio in serum， as well as mRNA and protein expressions of Beclin-1 and LC3， were increased significantly （P＜0.05）， while the levels of E2 and FSH in serum， as well as mRNA and protein expressions of p62 and the phosphorylation levels of PI3K， AKT and mTOR proteins in ovarian tissue， were significantly decreased （P＜0.05）. Compared with model group， the pathological damage of ovarian tissue in the administration groups was significantly reduced， the number of autophagosomes was smaller， and the expression levels of the above indicators were significantly reversed （P＜0.05）. CONCLUSIONS Huatan tongmai decoction can inhibit autophagy in ovarian granular cells by activating the PI3K/AKT/mTOR pathway， regulate the secretion of sex hormones， alleviate pathological damage in ovarian tissues， and promote normal follicular development， thereby exerting an ameliorative effect on PCOS rats.

Objective To analyze the research status and trend of scarlet fever literature in China, and to provide reference for subsequent research. Methods Three major Chinese databases, CNKI, Wanfang, and VIP, as well as Web of Science English database, were used to search for literature related to scarlet fever from 2000 to 2023. Citespace6.2.R2 software was used to statistically analyze the number of publications, authors, institutions and journals, co-cited literature, keyword clustering, and other literature characteristics of the literature. Results From 2000 to 2023, a total of 1 011 Chinese literature were included in the three major Chinese databases. Since 2011, the number of publications had gradually increased, but in recent years, the number of publications had decreased. The organization with the most publications was the Shenyang Center for Disease Control and Prevention. The cluster analysis of key words mainly formed 9 cluster tags, and the high-frequency keywords mainly included epidemic characteristics, epidemiology, incidence rate, etc. A total of 84 English literature were included in the WOS database, with an overall upward trend in publication volume. The institution with the most publications was the China Center for Disease Control and Prevention, and the most frequently cited journal was ^“LANCET INFECT DIS^”.《Resurgence of scarlet fever in China: a 13-year population-based surveillance study》 was the most cited journal. After keyword cluster analysis, 9 cluster labels were mainly formed, and the keywords were mainly outbreak，Hong Kong, and Group A streptococcus. Conclusion Compared with the English literature, which mainly focuses on spatiotemporal aggregation, etiology and strain resistance, Chinese literature focuses more on epidemic surveillance, clinical features and quality nursing.

ObjectiveTo explore the possible mechanism of Danggui Sini Granules （当归四逆颗粒） in treatment of coronary heart disease with cold congealing and blood stasis syndrome. MethodsFifty SD rats were randomly divided into a blank group， a model group， a Danshen Pill （丹参滴丸） group， and a low- and high-dosage Danggui Sini Granules group， with 10 rats in each group. Except for the blank group， the rat model of coronary heart disease with cold congealing and blood stasis syndrome was established by repeated cold stimulation at low temperature combined with intraperitoneal injection of posterior pituitary hormone in all other groups. In the 6th week of modelling， 0.073 g·kg^-1·d^-1 of compound Danshen Pill was given to the Danshen Pill group， 20.2 and 40.4 g·kg^-1·d^-1 of Danggui Sini Granules were given to the low- and high-dose Danggui Sini Granules groups， respectively， and 0.2 ml/10 g of sterile water was given to the blank group and the model group， all for 2 consecutive weeks. The general conditions of the rats were recorded， and the body mass was compared weekly. At the end of the intervention， electrocardiogram， blood rheological indexes， including whole blood low-cut viscosity， whole blood high-cut viscosity， erythrocyte aggregation index， and cardiac index were detected to evaluate the effect of the medication， and HE staining was used to observe the myocardial histopathological changes， TUNEL staining to detect the apoptotic situation of cardiomyocytes， and ELISA to detect the serum thyroid-stimulating hormone （TSH）， free triiodothyronine （FT₃）， free tetraiodothyronine （FT₄） levels and thromboxane B₂ （TXB₂）， 6-keto-prostaglandin F1α （6-Keto-PGF_1α）， endothelin 1 （ET-1）， and nitric oxide （NO） levels. ResultsCompared with the blank group at the same time point， the body mass of rats in the remaining groups decreased at all time points （P＜0.05 or P＜0.01）； compared with the model group at the same time point， the body mass of rats in high-dose Danggui Sini Granules group and Danshen Pill group increased at the 6th and 7th weeks （P＜0.05 or P＜0.01）. In the blank group， the S-T segment of the electrocardiogram was close to the isoelectric line， the myocardial structure was regular， the fibres were closely arranged， and the nuclei of the cells were intact and neatly aligned； in the model group， the S-T segment of the electrocardiogram significantly elevated， and the arrangement of the myocardial fibres was obviously disordered， with myocardial cells appearing to be swollen， necrotic， and infiltrated by inflammatory cells， and the apoptosis-positive cells of the cardiac muscle cells obviously increased； in each of the medication groups， the electrocardiogram had a lowered S-T segment， and myocardial fibres were aligned， myocyte structure and morphology were improved， inflammatory cells reduced， and the number of apoptosis-positive cells significantly reduced. Compared with the blank group， the cardiac index， whole blood high cut viscosity， whole blood low cut viscosity， erythrocyte aggregation index increased in the model group， and the serum levels of TSH， FT₃， FT₄， NO， 6-Keto-PGF_1α significantly reduced， and the levels of ET-1 and TXB₂ significantly increased （P＜0.05 or P＜0.01）. Compared with the model group， the levels of cardiac index， whole blood high cut viscosity， whole blood low cut viscosity， erythrocyte aggregation index， ET-1 and TXB₂ significantly decreased and the levels of NO and 6-Keto-PGF_1α significantly increased in each medication group， and the serum levels of TSH， FT₃， and FT₄ elevated in the high-dose Danggui Sini Granules group and Danshen Pill group （P＜0.05 or P＜0.01）. The serum TSH level of rats in the low-dose Danggui Sini Granules group was lower than that in Danshen Pill group and the high-dose Danggui Sini Granules group （P＜0.01）. ConclusionDanggui Sini Granules have the effect of alleviating myocardial injury in coronary heart disease with cold congealing and blood stasis syndrome， and its mechanism may be related to reducing myocardial cell apoptosis， improving energy metabolism， and regulating the level of vasoactive factors.

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

Research integrity is the foundation for ensuring the sound and orderly development of scientific and technological innovation. As the main battlefield of clinical medical research, hospitals should effectively fulfill their main responsibilities and do a good job in research integrity management. The China Hospital Research Integrity Alliance, consisting of the first batch of 43 hospitals, was established in November 2021. With the aim of " complementary advantages, resource sharing, and collaborative development", the alliance has carried out construction practices from seven aspects: construction mode, cultural system construction, organizational management, institutional construction, publicity and education, early warning and supervision, and technological empowerment. It has achieved the overall improvement of the research integrity construction ability of member units of the alliance, organic linkage between government and medical institutions, and efficient combination of internal and external resources, which can provide reference for the research integrity construction of medical institutions in China.

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

BACKGROUND: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. METHODS: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. RESULTS: A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02-1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30-1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. CONCLUSIONS This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.
Beijing/epidemiology* ; China/epidemiology* ; Dysentery, Bacillary/epidemiology* ; Humans ; Humidity ; Temperature

Antrodia cinnamomea is extensively used as a traditional medicine to prevention and treatment of liver cancer. However, its comprehensive chemical fingerprint is uncertain, and the mechanisms, especially the potential therapeutic target for anti-hepatocellular carcinoma (HCC) are still unclear. Using UPLC‒Q-TOF/MS, 139 chemical components were identified in A. cinnamomea dropping pills (ACDPs). Based on these chemical components, network pharmacology demonstrated that the targets of active components were significantly enriched in the pathways in cancer, which were closely related with cell proliferation regulation. Next, HCC data was downloaded from Gene Expression Omnibus database (GEO). The Cancer Genome Atlas (TCGA) and DisGeNET were analyzed by bioinformatics, and 79 biomarkers were obtained. Furtherly, nine targets of ACDP active components were revealed, and they were significantly enriched in PI3K/AKT and cell cycle signaling pathways. The affinity between these targets and their corresponding active ingredients was predicted by molecular docking. Finally, in vivo and in vitro experiments showed that ACDPs could reduce the activity of PI3K/AKT signaling pathway and downregulate the expression of cell cycle-related proteins, contributing to the decreased growth of liver cancer. Altogether, PI3K/AKT-cell cycle appears as the significant central node in anti-liver cancer of A. Cinnamomea.