“Runner’s high” refers to a momentary sense of pleasure that suddenly appears during running or other exercise activities, characterized by anti-anxiety, pain relief, and other symptoms. The neurobiological mechanism of “runner’s high” is unclear. This review summarizes human and animal models for studying “runner’s high”, analyzes the neurotransmitters and neural circuits involved in runner’s high, and elucidates the evidence and shortcomings of researches related to “runner’s high”. This review also provides prospects for future research. Research has found that exercise lasting more than 30 min and with an intensity exceeding 70% of the maximum heart rate can reach a “runner’s high”. Human experiments on “runner’s high” mostly use treadmill exercise intervention, and evaluate it through questionnaire surveys, measurement of plasma AEA, miRNA and other indicators. Animal experiments often use voluntary wheel running intervention, and evaluate it through behavioral experiments such as conditional place preference, light dark box experiments (anxiety), hot plate experiments (pain sensitivity), and measurement of plasma AEA and other indicators. Dopamine, endogenous opioid peptides, endogenous cannabinoids, brain-derived neurotrophic factor, and other substances increase after exercise, which may be related to the “runner’s high”. However, attention should be paid to the functional differences of these substances in the central and peripheral regions, as well as in different brain regions. Moreover, current studies have not identified the targets of the neurotransmitters or neural factors mentioned above, and further in-depth researches are needed. The mesolimbic dopamine system, prefrontal cortex-nucleus accumbens projection, ventral hippocampus-nucleus accumbens projection, red nucleus-ventral tegmental area projection, cerebellar-ventral tegmental area projection, and brain-gut axis may be involved in the regulation of runner’s high, but there is a lack of direct evidence to prove their involvement. There are still many issues that need to be addressed in the research on the neurobiological mechanisms of “runner’s high”. (1) Most studies on “runner’s high” involve one-time exercise, and the characteristics of changes in “runner’s high” during long-term exercise still need to be explored. (2) The using of scales to evaluate subjects lead to the lacking of objective indicators. However, some potential biomarkers (such as endocannabinoids) have inconsistent characteristics of changes after one-time and long-term exercise. (3) The neurotransmitters involved in the formation of the “runner’s high” all increase in the peripheral and/or central nervous system after exercise. Attention should be paid to whether peripheral substances can enter the blood-brain barrier and the binding effects of neurotransmitters to different receptors are completely different in different brain regions. (4) Most of the current evidence show that some brain regions are activated after exercise. Is there a functional circuit mediating “runner’s high” between these brain regions? (5) Although training at a specific exercise intensity can lead to “runner’s high”, most runners have not experienced “runner’s high”. Can more scientific training methods or technological means be used to make it easier for people to experience the “runner’s high” and thus be more willing to engage in exercise? (6) The “runner’s high” and “addiction” behaviors are extremely similar, and there are evidences that exercise can reverse addictive behaviors. However, why is there still a considerable number of people in the sports population and even athletes who smoke or use addictive drugs instead of pursuing the “pleasure” brought by exercise? Solving the problems above is of great significance for enhancing the desire of exercise, improving the clinical application of neurological and psychiatric diseases through exercise, and enhancing the overall physical fitness of the population.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Over the past three decades， China has made significant progress in the prevention and control of viral hepatitis， and the incidence rates of new-onset pediatric hepatitis B virus infections and acute viral hepatitis in the population have reduced to a relatively low level； however， there is still a heavy disease burden of chronic viral hepatitis in China， which severely affects the health status of the population. This study systematically summarizes the achievements of viral hepatitis prevention and control in China， analyzes existing problems and challenges， and proposes comprehensive prevention and control strategies and measures to eliminate viral hepatitis as a public health threat based on the national conditions of China， in order to provide a reference for related departments in China on how to achieve the action targets for eliminating viral hepatitis as a public health threat by 2030.

[Objective] To analyze the prognostic value of prostate cancer (PCa) pyroptosis-related genes (PRGs) using gene expression databases and to explore the regulatory mechanism of nucleotidebinding oligomerization domain-like receptor containing pyrin domain 1 (NLRP1) in the pyroptosis of PCa cells. [Methods] Fragments per kilobase of exon model per million reads mapped (FPKM) data and clinical information from PCa and adjacent tissues from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were obtained. Differentially expressed PRGs between PCa and adjacent tissues, classified subtypes and plotted survival curves were analyzed. Univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression analysis were conducted to screen prognosis-related PRGs, risk scores were calculated, and a prognostic risk model was constructed and validated. Patients were divided into high and low risk groups based on the median risk scores from the training and validation sets, and gene ontology (GO) enrichment and kyoto encyclopedia of genes and genomes (KEGG) analysis were conducted on differentially expressed PRGs. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression level of NLRP1 in PCa cell lines, and pyroptosis was induced in DU145 and LNCaP cells while morphological changes were observed. Western blot (WB) was performed to detect the expression of pyroptosis-related molecules. [Results] A total of 6 prognostic-related PRGs were obtained, including CHMP4C, CYCS, GPX4, GSDMB, NLRP1, and PLCG1. The risk score was positively correlated with the risk of recurrence but negatively correlated with the progression-free survival (P<0.001). The area under the receiver operating characteristic curves (AUCs) for the training set at 1, 3, and 5 years were 0.769 (95%CI: 0.652-0.878), 0.804 (95%CI: 0.736-0.882), and 0.772 (95%CI: 0.631-0.905), respectively, while those for the validation set were 0.731 (95%CI: 0.647-0.826), 0.753 (95%CI: 0.674-0.818), and 0.763 (95%CI: 0.626-0.849), respectively. Differences in expression levels of the 6 PRGs were observed between the high and low risk groups in both the training and validation sets (P<0.05). Cox regression analysis showed that T stage, prostate specific antigen (PSA), Gleason grade, and risk score were independent predictors of PCa prognosis (P<0.05). Differences in risk scores were observed among patients of different ages, T stages, and Gleason grades (P<0.05). NLRP1 was found to be lowly expressed in PCa cell lines and was involved in the regulation of pyroptosis in DU145 and LNCaP cells. [Conclusion] The prognostic risk model constructed based on PRGs has a certain predictability for the prognosis of PCa patients, and NLRP1 may be involved in the regulation of pyroptosis in PCa cells.

BACKGROUND:Human periodontal ligament stem cells are potential functional cells for periodontal tissue engineering.However,long-term in vitro culture may lead to reduced stemness and replicative senescence of periodontal ligament stem cells,which may impair the therapeutic effect of human periodontal ligament stem cells. OBJECTIVE:To investigate the effect of oxymatrine on the stemness maintenance and osteogenic differentiation of periodontal ligament stem cells in vitro,and to explore the potential mechanism. METHODS:Periodontal ligament stem cells were isolated from human periodontal ligament tissues by tissue explant enzyme digestion and cultured.The surface markers of mesenchymal cells were identified by flow cytometry.Periodontal ligament stem cells were incubated with 0,2.5,5,and 10 μg/mL oxymatrine.The effect of oxymatrine on the proliferation activity of periodontal ligament stem cells was detected by CCK8 assay.The appropriate drug concentration for subsequent experiments was screened.Western blot assay was used to detect the expression of stem cell non-specific proteins SOX2 and OCT4 in periodontal ligament stem cells.qRT-PCR and western blot assay were used to detect the expression levels of related osteogenic genes and proteins in periodontal ligament stem cells. RESULTS AND CONCLUSION:(1)The results of CCK8 assay showed that 2.5 μg/mL oxymatrine significantly enhanced the proliferative activity of periodontal stem cells,and the subsequent experiment selected 2.5 μg/mL oxymatrine to intervene.(2)Compared with the blank control group,the protein expression level of SOX2,a stem marker of periodontal ligament stem cells in the oxymatrine group did not change significantly(P>0.05),and the expression of OCT4 was significantly up-regulated(P<0.05).(3)Compared with the osteogenic induction group,the osteogenic genes ALP,RUNX2 mRNA expression and their osteogenic associated protein ALP protein expression of periodontal ligament stem cells were significantly down-regulated in the oxymatrine+osteogenic induction group(P<0.05).(4)The oxymatrine up-regulated the expression of stemness markers of periodontal ligament stem cells and inhibited the bone differentiation of periodontal ligament stem cells,and the results of high-throughput sequencing showed that it may be associated with WNT2,WNT16,COMP,and BMP6.

Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

ObjectiveThis study aimed to explore the correlation between the quality of life （QOL） and different traditional Chinese medicine （TCM） syndromes in patients with myasthenia gravis （MG）， identifying potential influencing factors to provide new insights for clinical interventions and improving the QOL of patients with MG. MethodsA questionnaire survey was conducted on 93 adults with MG who visited the Department of Neurology at the Affiliated Hospital of Changchun University of Chinese Medicine from March 2023 to January 2024. Statistical analysis was performed on the clinical data collected using SPSS 24.0 software. ResultsAmong the 93 patients with MG， the average score for myasthenia gravis quality of life-15 （MGQOL-15） was 17.65±6.27， and that for the 36-item short form health survey （SF-36） was （106.13±11.83） scores. The QOL was rated as good for 16 patients and moderate for 77 patients. There were no statistically significant differences in the scores of MGQOL-15， SF-36， and their individual scales by gender or education level. Age showed statistically significant differences in MGQOL-15 and the role physical （RP） scale （P<0.05）， and occupational type showed significant differences in the vitality （VT） scale （P<0.01）. The Myasthenia Gravis Foundation of America （MGFA） classification had statistical significance on the total SF-36 score （P<0.01）， VT scale （P<0.01）， role emotional （RE） scale （P<0.05）， social functioning （SF） scale （P<0.05）， and physical functioning （PF） scale （P<0.01）. Among patients with different TCM syndromes， there were significant differences in MGQOL-15 scores （F=4.919， P<0.01）. Moreover， significant differences were observed in SF-36 scores （P<0.01）， VT scale （P<0.01）， RE scale （P<0.05）， mental health （MH） scale （P<0.01）， and SF scale （P<0.05）. ConclusionFactors affecting the QOL of patients with MG include age， occupational type， and clinical classification of MG. Specifically， a greater impact on the QOL of older patients is observed， while physical laborers have a poorer QOL compared to non-physical laborers. Patients classified as MGFA type Ⅱ and higher have a poorer QOL. Additionally， there is a potential correlation between the QOL and TCM syndromes， with patients presenting with spleen and kidney Qi deficiency having a lower QOL than those with spleen and stomach Qi deficiency or Qi and Yin deficiency， which is particularly evident in the VT， RE， MH， and SF scales.

Nonalcoholic steatohepatitis （NASH） is a chronic metabolic disease characterized by hepatocyte fatty degeneration and ballooning degeneration， and it plays an important role in the progression of hepatic steatosis. Recent studies have shown that immune homeostasis imbalance between T helper 17 （Th17） and regulatory T （Treg） cells are closely associated with the pathological process of NASH. Transforming growth factor-β1 （TGF-β1） is a key cytokine for regulating the differentiation and proliferation of Th17/Treg cells， and TGF-β1 binds to its receptor and activates the Smad signaling pathway， thereby regulating the immune balance of Th17/Treg cells and the expression of inflammatory factors and participating in the repair of liver inflammation. This article systematically reviews the molecular mechanism of the TGF-β1/Smad signaling pathway in affecting NASH by regulating the immune balance of Th17/Treg cells， in order to provide a theoretical basis for the research on the pathogenesis of NASH and related treatment strategies.