ObjectiveTo investigate the potential mechanism of action of the Qufeng Tongqiao Cough-relieving Decoction （祛风通窍止咳方， QTCD） in the treatment of upper airway cough syndrome （UACS）. MethodsTwenty-four guinea pigs were randomly divided into blank group， model group， traditional Chinese medicine （TCM） group， and inhibitor group， with six guinea pigs in each group. Except for the blank group， guinea pigs were sensitized with ovalbumin and aluminum hydroxide via intraperitoneal injection， followed by ovalbumin nasal drops combined with smoke exposure to establish the UACS model. After modeling， the TCM group was administered QTCD 0.9 g/（100 g·d） by gavage， the inhibitor group received the transient receptor potential vanilloid receptor 4 （TRPV4） inhibitor GSK2193874 1 mmol/L， 5 min by nebulisation， and the blank group and model group were given 2 ml/（100 g·d） normal saline by gavage once daily. After 7 days of treatment， a cough provocation test was performed using 0.4 mol/L citric acid. The levels of IgE in serum and inflammatory cytokines， including interleukin-6 （IL-6）， interleukin-8 （IL-8） in serum， bronchoalveolar lavage fluid （BALF）， and nasal lavage fluid （NLF） were detected by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in lung and nasal mucosal tissues were observed by hematoxylin-eosin （HE） staining. Immunohistochemistry was used to detect the protein levels of TRPV4， substance P （SP）， and calcitonin gene-related peptide （CGRP） in lung and nasal mucosal tissues. Real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRPV4， SP， and CGRP in lung tissues. ResultsHE staining showed significant structural damage and infiltration of inflammatory cells in the lung and nasal mucosal tissues in the model group， while the TCM group and inhibitor group showed improved pathological changes. Compared with the blank group， the model group showed increased cough frequency， serum IgE level， and IL-6 and IL-8 levels in serum， BALF， and NLF. The protein levels of TRPV4， SP， and CGRP in lung and nasal mucosal tissues and their mRNA expression were elevated （P＜0.05 or P＜0.01）. Compared with the model group， the TCM group and inhibitor group showed reduced cough frequency， serum IgE level， and TRPV4 and SP mRNA expression in lung tissues. The TCM group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， and reduced TRPV4 and CGRP protein levels in lung and nasal mucosal tissues. The inhibitor group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， reduced IL-6 in BALF， reduced IL-8 in NLF， and decreased TRPV4， SP， and CGRP protein levels in lung tissues and SP and CGRP protein levels in nasal mucosal tissues （P＜0.05 or P＜0.01）. Compared with the TCM group， the inhibitor group had increased serum IgE， IL-6， and IL-8 levels， increased IL-6 level in BALF， and increased IL-8 levle in NLF， but decreased SP protein level in lung tissues and increased TRPV4 and SP mRNA expression in lung tissues （P＜0.01）. ConclusionQTCD effectively reduces cough frequency in the UACS guinea pig model. Its mechanism may involve inhibiting the activation of the TRPV4 pathway， improving airway neurogenic inflammation， alleviating inflammatory responses， and reducing cough hypersensitivity.

Objective: To investigate the prevalence and influencing factors of depression among middle school students in Jiading District, Shanghai Municipality, so as to provide the evidence for developing mental health intervention strategies among middle school students. Methods: Students from 3 junior high schools and 3 senior high schools in Jiading District were selected from June 2022 to June 2023 using a stratified random cluster sampling method. Basic information including gender and educational stage was collected through questionnaire surveys. Depression, mental health literacy, cognitive emotion regulation, family cohesion, school climate, stress, and life satisfaction were assessed using the Children's Depression Inventory, the Mental Health Literacy Assessment Scale, the Chinese version of the Cognitive Emotion Regulation Questionnaire, the Family Adaptability and Cohesion Scale, the Perceived School Climate Scale, Depression-Anxiety-Stress Scale, and the Life Satisfaction Scale, respectively. Factors affecting depression among middle school students were analyzed using a multivariable logistic regression model. Results: There were 1 117 boys (53.94%) and 954 girls (46.06%), with a mean age of (15.20±1.77) years. There were 1 193 (57.61%) junior high school students and 878 (42.39%) senior high school students. Depression was detected in 577 students, with a prevalence of 27.86%. Multivariable logistic regression analysis identified gender (boy, OR=0.652, 95%CI: 0.512-0.832), educational stage (senior high school, OR=2.519, 95%CI: 1.584-4.008), mental health literacy (OR=0.958, 95%CI: 0.951-0.966), cognitive emotion regulation (adaptive cognitive emotion regulation strategies, OR=0.970, 95%CI: 0.958-0.982; maladaptive cognitive emotion regulation strategies, OR=1.103, 95%CI: 1.084-1.123), family cohesion (OR=0.910, 95%CI: 0.899-0.921), school climate (OR=0.720, 95%CI: 0.694-0.747), stress (OR=1.127, 95%CI: 1.104-1.150), life satisfaction (OR=0.817, 95%CI: 0.799-0.836) as factors affecting depression among middle school students. Conclusions Depression among middle school students in Jiading District is associated with gender, educational stage, mental health literacy, cognitive emotion regulation, family cohesion, school climate, stress, and life satisfaction. It is recommended that targeted measures be taken from the perspectives of individuals, families, schools, and society to promote the mental health of middle school students.

BACKGROUND: G protein-coupled receptor kinase 2 (GRK2) could participate in the regulation of diverse cells via interacting with non-G-protein-coupled receptors. In the present work, we explored how paroxetine, a GRK2 inhibitor, modulates the differentiation and activation of immune cells in rheumatoid arthritis (RA). METHODS: The blood samples of healthy individuals and RA patients were collected between July 2021 and March 2022 from the First Affiliated Hospital of Anhui Medical University. C57BL/6 mice were used to induce the collagen-induced arthritis (CIA) model. Flow cytometry analysis was used to characterize the differentiation and function of dendritic cells (DCs)/T cells. Co-immunoprecipitation was used to explore the specific molecular mechanism. RESULTS: In patients with RA, high expression of GRK2 in peripheral blood lymphocytes, accompanied by the increases of phosphatidylinositol 3 kinase (PI3K), protein kinase B (AKT), and mammalian target of rapamycin (mTOR). In animal model, a decrease in regulatory T cells (T regs ), an increase in the cluster of differentiation 8 positive (CD8 + ) T cells, and maturation of DCs were observed. Paroxetine, when used in vitro and in CIA mice, restrained the maturation of DCs and the differentiation of CD8 + T cells, and induced the proportion of T regs . Paroxetine inhibited the secretion of pro-inflammatory cytokines, the expression of C-C motif chemokine receptor 7 in DCs and T cells. Simultaneously, paroxetine upregulated the expression of programmed death ligand 1, and anti-inflammatory cytokines. Additionally, paroxetine inhibited the PI3K-AKT-mTOR metabolic pathway in both DCs and T cells. This was associated with a reduction in mitochondrial membrane potential and changes in the utilization of glucose and lipids, particularly in DCs. Paroxetine reversed PI3K-AKT pathway activation induced by 740 Y-P (a PI3K agonist) through inhibiting the interaction between GRK2 and PI3K in DCs and T cells. CONCLUSION Paroxetine exerts an immunosuppressive effect by targeting GRK2, which subsequently inhibits the metabolism-related PI3K-AKT-mTOR pathway of DCs and T cells in RA.
G-Protein-Coupled Receptor Kinase 2/metabolism* ; Arthritis, Rheumatoid/immunology* ; Animals ; Dendritic Cells/metabolism* ; Paroxetine/therapeutic use* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Humans ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Male ; Phosphatidylinositol 3-Kinases/metabolism* ; Lymphocyte Activation/drug effects* ; Female ; T-Lymphocytes/metabolism* ; Middle Aged

Neurodegenerative disorders (NDDs) are prevalent chronic conditions characterized by progressive synaptic loss and pathological protein alterations. Increasing evidence suggested that mitochondrial quality control (MQC) serves as the key cellular process responsible for clearing misfolded proteins and impaired mitochondria. Herein, we provided a comprehensive analysis of the mechanisms through which MQC mediates the onset and progression of NDDs, emphasizing mitochondrial dynamic stability, the clearance of damaged mitochondria, and the generation of new mitochondria. In addition, traditional Chinese medicines (TCMs) and their active monomers targeting MQC in NDD treatment have been demonstrated. Consequently, we compiled the TCMs that show great potential in the treatment of NDDs by targeting MQC, aiming to offer novel insights and a scientific foundation for the use of MQC stabilizers in NDD prevention and treatment.

Objective:To aid in the detection of thyroid cancer by using deep learning to differentiate the unique bioimpedance parameter patterns of different thyroid tissues.Methods:An electrical impedance system was designed to measure 331 ex-vivo thyroid specimens from 321 patients during surgery. The impedance data was then analyzed with one dimensional convolution neural (1D-CNN) combining with long short-term memory (LSTM) network models of deep learning. In the process of analysis, we assigned 80% of the data to training set (1072/1340) and the remaining 20% data to the test set (268/1340). The performance of final model was assessed using receiver operating characteristic (ROC) curves. In addition, sensitivity, specificity, positive predictive value, negative predictive value, Youden index were applied to compare impedance model with ultrasound results.Results:The ROC curve of the two-classification (malignant /non-malignant tissue) model showed a good performance (area-under-the-curve AUC=0.94), with an overall accuracy of 91.4%. To better fit clinical practice, we further performed a three-classification (malignant/ benign/ normal tissue) model, of which the areas under ROC curve were 0.91, 0.85, 0.92 for normal, benign, and malignant group, respectively. The results indicated that the area under micro-average ROC curve and the macro-average ROC curve were 0.91 and 0.90, respectively. Moreover, compared with ultrasound, the impedance model exhibited higher specificity.Conclusions:A deep learning model (CNN-LSTM) trained by thyroid electrical impedance spectroscopy (EIS) parameters shows an excellent performance in distinguishing among different in-vitro thyroid tissues, which is promising for applications. In future clinical utility, our study does not replace existing tests, but rather complements others, thus contributing to therapeutic decision-making and management of thyroid disease.

ObjectiveTo understand the utilization of preconception healthcare services and the influencing factors among the women expecting additional childbirth in Jiading District， Shanghai， and to provide references for promoting the utilization of preconception healthcare services under the new population policy. MethodsA questionnaire survey on the utilization of preconception healthcare services and related influencing factors was carried out among 682 women expecting additional childbirth across six subdistricts in Jiading District， Shanghai. The results were statistically analyzed. ResultsThe average age of the women was （31.7±4.5） years， 30.2% of whom were ≥35 years old. The proportion of women having their third or subsequent children was low， at 16.4%. A significant majority， 92.4%， were found to have various risk factors during initial pregnancy screening. The utilization rate of preconception healthcare services among women seeking additional childbirth was relatively low at 26.7%. Awareness of the free preconception check-up program in Jiading District was also low at 28.6%， and the utilization rate for these services was even lower at 7.69%. Unplanned pregnancies were the primary reason for not utilizing preconception healthcare services， accounting for 63.6%. The results of multifactorial binary logistic regression analysis showed that the utilization rate of preconception healthcare services before the current pregnancy was higher for women aged between 35 and 39 compared to women aged ≤29 years old （OR=1.789， 95%CI： 1.033‒3.099）. Women with planned pregnancies had a higher utilization of preconception healthcare services prior to this pregnancy （OR=4.164， 95%CI： 2.627‒6.602）. Women who had received preconception care prior to their first birth had a higher utilization rate of preconception care prior to the current pregnancy （OR=7.534， 95%CI： 4.954‒11.456）. Women without a family history of chronic diseases had a higher utilization rate of preconception healthcare services （OR=1.903， 95%CI： 1.083‒3.345）. ConclusionUnder the context of three-child policy， the proportion of women seeking three or more children in Jiading District is low. Most of these women have risk factors identified during initial pregnancy screenings. The utilization rate of preconception healthcare services and the awareness of the free preconception screening program in Jiading District are both low. Unplanned pregnancies remain the primary reason for failing to receive timely preconception healthcare services. Age， whether the pregnancy was planned， whether the women had received preconception healthcare services before their first baby and family history of chronic diseases are the main factors affecting the utilization of preconception healthcare services. Relevant departments should enhance the promotion of preconception healthcare service programs， especially for women of childbearing age who have not yet given birth， so as to improve the utilization rate of preconception health care services.

Objective:To establish the objective of zero inventory management of in vitro diagnostic reagents,to evaluate the quality of supply chain,and to improve the existing problems in the supply of reagents.Methods:The problems existing in the management of in vitro diagnostic reagents were analyzed from the aspects of inventory,supply efficiency and product quality,and the management system of hospital operation,management quality and patient benefit optimization was established,and the zero-inventory management path and quality evaluation model were constructed.85 models of 21 types of in vitro diagnostic reagents purchased by Jiangsu Subei People's Hospital from January 2020 to March 2023 were selected.According to different supply chain quality management methods,on-demand inventory management mode(referred to as mode 1)and zero inventory management mode(referred to as mode 2)were adopted respectively.The demand procurement,inventory management and clinical use effects of the two management modes were compared.Results:The reagent procurement demand compliance rate,supply capacity high-quality quality rate and clinical use matching rate of mode 2 were(93.35±3.62)%,(94.87±2.63)% and(96.08±2.31)%,respectively,which were higher than those of mode 1,the difference was statistically significant(Z=2.489,2.836,2.838,P<0.05).The number of cases of long-term overstocking of products,substandard environment and untimely information in mode 2 were(2.92±2.54)cases,(2.83±1.59)cases and(5.58±3.12)cases,respectively,which were lower than those in mode 1,the difference was statistically significant(Z=2.959,3.037,3.703,P<0.05).The satisfaction of clinical departments,medical technology departments and procurement center with the supply,distribution and information communication of in vitro diagnostic reagents in mode 2 were 97.8% and 93.3%,97.0% and 87.9%,100% and 84.6%,respectively,which were higher than those in mode 1,the difference was statistically significant(x2clinical departments=5.428,6.133,x2medical technology departments=3.958,3.937,x2procurement center=5.159,4.996,P<0.05).Conclusion:The zero inventory management model can improve the standardization of in vitro diagnostic reagent demand procurement,reduce the incidence of backlog failure in inventory management,and improve the quality of clinical supply services.

Objective To investigate whether a stable and reliable hyperuricemia model can be established in mice with an ICR background via a triple-modeling method(combined potassium oxazine,hypoxanthine,and 30％yeast paste),and to evaluate the effect of the positive drug febuxostat on the model.Methods A hyperuricemia model of ICR mice was established using a single drug or double-or triple-drug combinations.Serum uric acid and creatinine concentrations,xanthine oxidase(XOD)and urate oxidase(UOX)activity,and uric acid transporter(URAT)1,glucose transporter(Glut)9,anion transporter(OAT)1,and ATP-binding box subfamily G member(ABCG)2 mRNA levels were detected to evaluate whether the hyperuricemia model was formed successfully.Results The serum uric acid levels of ICR mice were not significantly changed by potassium oxazine alone,as they showed an increase but were not significantly different to those of the 30％yeast paste diet or hypoxanthine combined groups.Serum uric acid levels in the triple administration group were significantly increased at 7 days(P＜0.01),while XOD enzyme activity had increased(P＜0.01)and UOX enzyme activity decreased(P＜0.001)at the same timepoint.There were increased expression levels of URAT1 and Glut9(P＜0.05,P＜0.001),and decreased expression levels of OAT1 and ABCG2(P＜0.001).During dynamic monitoring,the blood uric acid levels of triple administration-induced ICR mice peaked at 7 days.In addition,triple administration-induced hyperuricemia in ICR mice was sensitive to the positive drug febuxostat,which caused a significant decrease in blood uric acid levels(P＜0.001).Conclusions A hyperuricemia model in ICR mice can be stably induced by triple administration for 7 days.

Purpose To explore the value of predicting risk classification of gastrointestinal stromal tumors(GIST)based on the model established by dural-phase enhanced CT based radiomics.Materials and Methods Totally 200 patients with pathologically confirmed GIST from October 2017 to July 2023 in the Affiliated Hospital of Zunyi Medical University were enrolled,including 69 cases with low-risk group(very low-risk,low-risk)and 131 with high-risk group(medium-risk,high-risk).All patients were randomly divided into training set(n=139)and validation set(n=61)at the ratio of 7∶3.Univariate and multivariate Logistic regression analysis were used on clinical data and CT sings in the training set to obtain clinical-CT features for predicting the risk grade of GIST,and clinical-CT models were constructed.The radiomics features were extracted and screened from the three data sets of enhanced CT arterial phase,venous phase and arterial+venous phase,and the radiomics model was constructed to obtain the optimal radiomics features,respectively.The optimal radiomics features were obtained and combined with the clinical-CT features,a combination model was constructed and the normogram was drawn.The predictive efficiency of these models was evaluated by area under the curve(AUC).Results Tumor diameter was an independent predictor of GIST risk classification(OR=1.070,P＜0.001).The AUC of the combination model,model arterial+venous phase radiomics and model clinical-CT in the training set were 0.948,0.896 and 0.873,respectively;those in the validation set were 0.886,0.825 and 0.870,respectively.The AUC of the above three models showed statistical difference(Z=-3.167,-2.316,P＜0.05).Conclusion The radiomics features based on enhanced CT have good value in predicting risk classification of GIST.Compared with model clinical-CT and model radiomics,the combination model is the most effective in predicting the risk classification of GIST.

The decline in muscle mass and strength in the lower limbs of the elderly can result in reduced exercise capacity and an increased risk of falls and mortality.Blood flow restriction training involves applying external pressure to the proximal end of a limb using a pressure device to restrict blood flow, leading to muscle adaptability similar to that achieved with high load training but at a lower intensity.This method, compared to traditional high load resistance training, offers the advantage of being low in load yet highly efficient.This article provides a summary of the clinical applications, mechanisms of action, and benefits of blood flow restriction training for enhancing lower limb muscle strength in the elderly, serving as a valuable reference for the development of scientifically sound blood flow restriction training programs for this population.