Porcine epidemic diarrhea virus (PEDV) is an intestinal coronavirus that can cause porcine epidemic diarrhea, leading to diarrhea, vomiting, weight loss, and even death in piglets. Due to the diversity of PEDV strains, traditional vaccines are difficult to sustainably and effectively prevent and control PEDV. This article reviews the strategies and mechanisms of active substances in regulating intracellular signaling pathways, viral proteins, and microbial metabolites to enhance the host immune function against PEDV. It emphasizes the prevention of PEDV resistance and the potential harm of PEDV breaking through interspecies barriers to the human society, aiming to provide reliable theoretical support for the development of new antiviral drugs or vaccines.
Porcine epidemic diarrhea virus/immunology* ; Animals ; Swine ; Swine Diseases/prevention & control* ; Antiviral Agents/pharmacology* ; Coronavirus Infections/virology* ; Viral Vaccines/immunology* ; Humans ; Signal Transduction

Multimorbidity has become a widely recognized public health problem worldwide. Identifying multimorbidity patterns can improve not only the efficiency of healthcare resource utilization but also patients' prognosis. This article summarizes three common approaches for the identification of multimorbidity patterns: association analysis methods (including association rule mining and network analysis), classification methods (including cluster analysis, latent class analysis, and latent transition analysis), and dimensionality reduction and feature extraction methods (including principal component analysis, factor analysis, and multiple correspondence analysis), introduces the application of these methods using data from the UK Biobank to identify multimorbidity patterns and discusses and compares the results of case analysis to provide reference for the selection of appropriate methods for multimorbidity pattern research.

Objective:To explore the construction of a core competency evaluation indicator system for pediatric surgery operating room specialist nurses.Methods:The evaluation indicator system was constructed by reviewing literature, analyzing semi-structured interview results, and examining the characteristics of training specialized nurses in pediatric surgery operating rooms, as well as combining the characteristics of pediatric surgery and multi-source data. The research group discussed and proposed a preliminary core competency evaluation indicator system for specialized nurses in pediatric surgery operating rooms. This study used the Delphi expert inquiry method to conduct two rounds of expert consultation and ultimately established the core competency evaluation indicator system for pediatric surgery operating room specialist nurses. The expert positivity coefficient was represented by the questionnaire response rate, and the expert authority coefficient was calculated using the judgment coefficient and familiarity degree. The coefficient of variation and Kendall's W coefficient were used to measure the degree of coordination of expert opinions. Results:The effective response rates for the two rounds of expert consultation were 100.00% and 95.24%, respectively. The authority coefficients of the two rounds of expert consultation were 0.92 and 0.90, respectively. The coefficients of variation of indicators at various levels were less than 0.25. The Kendall's W coefficients for the first-, second-, and third-level indicators in the first and second rounds of expert consultation were 0.516-0.664 and 0.652-0.711, respectively ( P<0.001). The final core competency evaluation indicator system for pediatric surgery operating room specialist nurses included 3 first-level indicators, 15 second-level indicators, and 52 third-level indicators. Conclusions:The core competency evaluation indicator system for pediatric surgery operating room specialist nurses constructed in this study provides a scientific and practical guidance for training pediatric surgery operating room specialist nurses in China.

Objective To explore the policy foundations of early family education and rehabilitation support systems for children with developmental disabilities aged zero to three years,based on the International Classification of Functioning,Disability and Health(ICF),and to construct a comprehensive,whole-person and whole-lifecycle support system integrating early childhood education and rehabilitation services for families;and to propose corresponding sys-tem architecture,construction pathways and governance models.Methods Policy documents were compared,which were related to children's rehabilitation from the World Health Orga-nization,early education guidelines for children with disabilities from the United Nations Educational,Scientific and Cultural Organization,the U.S.Individuals with Disabilities Education Act,European Union children's reha-bilitation policies,and the"14th Five-Year Plan"from China Disabled Persons'Federation.The related policy frameworks and key content of early family education and rehabilitation were reviewed,and the composition,implementation pathways and governance models of the support system were systymatically analyzed.Results The support system consisted of early screening and assessment,family education and parent training,counsel-ing and personalized education and rehabilitation support,community support and resource integration,and re-mote digital support platforms.The study proposed the implementation pathways for five systems,including early screening and assessment,family education and parent training,counseling and personalized rehabilitation support,community support and resource integration,and remote digital support platforms.It emphasized gover-nance mechanisms such as multidisciplinary collaboration,interdepartmental coordination and support from re-mote digital platforms to build a continuous service chain from standardized assessments to interdepartmental collaboration.Conclusion The person-centered approach and whole life span development concept based on the ICF model,as well as the guiding principles of the health services continuum,provide systematic theoretical and policy support for early childhood education and rehabilitation for children with developmental disabilities aged zero to three years.Through multidisciplinary collaboration,interdepartmental coordination and the application of digital platforms,a scientific,continuous and child-centered support system can be built.This not only facilitates early detection and precise intervention but also promotes multi-party collaboration among families,communities and profes-sional institutions.It will further integrate disability prevention,rehabilitation and healthcare services,thereby im-proving children's functional abilities and family quality of life.

Objective To conduct a scoping review of the application of gamification programs in exercise rehabilitation for knee osteoarthritis,examining the application carriers,game content,outcome indicators,measurement tools,and application effects of gamification programs,to provide references for future practice and related research in this field.Methods The search was conducted in PubMed,Web of Science,Cochrane Library,Scopus,CIN AHL,China National Knowledge Infrastructure,CNKI,and Wanfang Data from their inception to December 28,2024.The included studies were summarized and analyzed.Results A total of 28 studies were included in the review.The game carriers encompassed virtual reality technology,sensor devices,and mobile applications.The game content covered interactive motion games,aerobic exercises,and goal-motivated games.Outcome indicators included functional performance,physical activity,pain,psychological and health status,and user experience.Gamification programs were found to effectively enhance user engagement,improve physical function,reduce negative emotions,and improve quality of life.However,there remains controversy regarding their efficacy in pain relief.Conclusion Gamification programs have shown positive effects in exercise rehabilitation for knee osteoarthritis.Future efforts should focus on developing gamification programs that are culturally appropriate for China,creating"digital therapeutics",continuously updating systems,conducting economic evaluations,and ensuring digital equity to enhance patients'rehabilitation experiences and improve health outcomes.

Objective To translate the Maternal Childbirth Fatigue Perception Questionnaire(MCFQ)into Chinese and examine its reliability and validity among women undergoing vaginal deliv-ery.Methods Following the Brislin translation model,the MCFQ was translated,back-translated,culturally adapted and pre-tested to develop a Chinese version.By using the convenience sampling method,574 parturients were selected for a questionnaire survey from January to April 2024,and the reliability and validity of the Chinese questionnaire were evaluated.Results The Chinese version of MCFQ consisted of 3 dimensions and 13 items,namely physical fatigue(7 items),perceived fatigue(3 items)and emotional fatigue(3 items).The item-level content validity index ranged from0.813 to 1.000,and the scale-level content validity index was 0.938.The overall Cronbach's α coefficient of the scale was 0.870,and the split-half reliability coefficient was 0.848.Confirmatory factor analysis demonstrated that the question naire had a good fit.Conclusion The Chinese version of MCFQ has good reliability and validity and can be used as an effective tool to assess the fatigue level of parturients during the delivery process.It is helpful for clinical medical staff to optimize the management of the la-bor process,improve the quality of delivery,and ensure the safety of mothers and infants.

Traditional Chinese medicine(TCM)is an ancient medical system distinctive and effective in treating cancer,depression,coronavirus disease 2019(COVID-19),and other diseases.However,the relatively abstract diagnostic methods of TCM lack objective measurement,and the complex mechanisms of action are difficult to comprehend,which hinders the application and internationalization of TCM.Recently,while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research,the rise of machine learning(ML)has significantly enhanced their inte-gration with TCM.This article introduces representative methodological cases in quality control,mechanism research,diagnosis,and treatment processes of TCM,revealing the potential applications of ML technology in TCM.Furthermore,the challenges faced by ML in TCM applications are summarized,and future directions are discussed.

Colorectal inflammatory cancer transformation poses a major risk to patients with colitis.Patients with chronic intestinal inflammation have an approximately 2-3 fold increased risk of developing colorectal cancer(CRC).Unfortunately,there is currently no effective intervention available.Huangqin decoction(HQD),a well-known traditional Chinese medicine(TCM)formula,is frequently clinically prescribed for treating patients with colitis,and its active ingredients have effective antitumour efficacy.Nonetheless,the mechanism of HQD-mediated prevention of colorectal inflammatory cancer transformation remains unclear.A strategy integrating metagenomic,lipidomic,and messenger RNA(mRNA)sequencing analysis was used to investigate the regulatory effects of HQD on the gut microbiome,metabolism and potential mechanisms involved in colorectal inflammatory cancer transformation.Our study revealed that HQD suppressed colorectal inflammatory cancer transformation,which was associated with enhanced in-testinal barrier function,decreased the inflammatory response,and regulation of the gut microbiome.Notably,cohousing experiments revealed that the transfer of the gut microbiome from HQD-treated mice largely inhibited the pathological transformation of colitis.Moreover,gut microbiome transfer from HQD-treated mice primarily resulted in the altered regulation of fatty acid metabolism,especially the remodeling of arachidonic acid metabolism,which was associated with the amelioration of pathological transformation.Arachidonic acid metabolism and the key metabolic enzyme arachidonic acid 12-lipoxygenase(ALOX12)were affected by HQD treatment,and no obvious protective effect of HQD was observed in Alox12-/-mice,which revealed that ALOX12 was a critical mediator of HQD protection against colorectal inflammatory cancer transformation.In summary,multiple omics analyses were applied to produce valuable data and theoretical support for the application of HQD as a promising intervention for the transformation of inflammatory CRC.

The transition of cancer cells from epithelial state to mesenchymal state awarded hepatocellular carcinoma (HCC) stem cell properties and induced tumorigenicity, drug resistance, and high recurrence rate. Reversing the mesenchymal state to epithelial state by inducing mesenchymal-epithelial remodeling could inhibit the progression of HCC. Using high-throughput screening, chrysin was selected from natural products to reverse epithelial-mesenchymal transition (EMT) by selectively increasing CDH1 expression. The target identification suggested chrysin exerted its anti-HCC effect through covalently and specifically binding threonine 205 (Thr205) of alpha-enolase (ENO1). For the first time, we revealed that ENO1 bound β-catenin mRNA, and recruited YTHDF2 to identify the m6A modified β-catenin in the 3'-UTR region to degrade β-catenin mRNA. Eventually, the CDH1 gene expression was improved through the regulation of β-catenin mRNA. ENO1/β-catenin mRNA interaction might be a promising target for cellular plasticity reprogramming. Moreover, chrysin could mediate mesenchymal‒epithelial remodeling through increasing degradation of β-catenin mRNA by promoting the binding of ENO1 and β-catenin mRNA. To the best of our knowledge, chrysin is the first reported small molecule inducing β-catenin mRNA degradation through binding to ENO1. The water-soluble derivative of chrysin may be a natural product-derived lead compound for circumventing metastasis, recurrence, and drug resistance of HCC by mediating mesenchymal‒epithelial remodeling.

Colorectal inflammatory cancer transformation poses a major risk to patients with colitis. Patients with chronic intestinal inflammation have an approximately 2-3 folds increased risk of developing colorectal cancer (CRC). Unfortunately, there is currently no effective intervention available. Huangqin decoction (HQD), a well-known traditional Chinese medicine (TCM) formula, is frequently clinically prescribed for treating patients with colitis, and its active ingredients have effective antitumour efficacy. Nonetheless, the mechanism of HQD-mediated prevention of colorectal inflammatory cancer transformation remains unclear. A strategy integrating metagenomic, lipidomic, and messenger RNA (mRNA) sequencing analysis was used to investigate the regulatory effects of HQD on the gut microbiome, metabolism and potential mechanisms involved in colorectal inflammatory cancer transformation. Our study revealed that HQD suppressed colorectal inflammatory cancer transformation, which was associated with enhanced intestinal barrier function, decreased the inflammatory response, and regulation of the gut microbiome. Notably, cohousing experiments revealed that the transfer of the gut microbiome from HQD-treated mice largely inhibited the pathological transformation of colitis. Moreover, gut microbiome transfer from HQD-treated mice primarily resulted in the altered regulation of fatty acid metabolism, especially the remodeling of arachidonic acid metabolism, which was associated with the amelioration of pathological transformation. Arachidonic acid metabolism and the key metabolic enzyme arachidonic acid 12-lipoxygenase (ALOX12) were affected by HQD treatment, and no obvious protective effect of HQD was observed in Alox 12 ^-/- mice, which revealed that ALOX12 was a critical mediator of HQD protection against colorectal inflammatory cancer transformation. In summary, multiple omics analyses were applied to produce valuable data and theoretical support for the application of HQD as a promising intervention for the transformation of inflammatory CRC.