Ischemic stroke is a cerebrovascular disease with high incidence and disability rates. Non-coding RNAs， as important regulatory factors for gene expression， play a key role in the development and progression of ischemic stroke， but their specific mechanisms of action remain unclear. This article systematically reviews the expression characteristics and regulatory roles of microRNAs， long non-coding RNAs， and circular RNAs in ischemic stroke and reveals the pathophysiological mechanisms of non-coding RNAs in ischemic injury by regulating the processes of cell apoptosis and autophagy， inflammatory response， blood-brain barrier integrity， and neuroregeneration. In addition， non-coding RNAs have shown the potential as biomarkers for the prediction， diagnosis， and prognostic evaluation of ischemic stroke. This article also analyzes the limitations of current research and proposes future research directions， so as to provide a theoretical foundation for exploring the mechanism of action of non-coding RNAs in ischemic stroke and developing innovative diagnostic and therapeutic strategies.
Review

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

The key to strengthen the construction of county medical communities in China is multidimensional synergy.Based on the SFIC model,it deeply analyzes the collaborative dilemmas of county medical community in China from four dimensions:initial conditions,catalytic leadership,institutional design and collaborative process.Specifically,it is manifested as the differentiation of values among the main entities within the county medical community,the uneven catalytic leadership of each levels and entities,vertical and horizontal institutional fragmentation and weak coupling among stakeholders to collaborate.Based on typical regional experiences,for the current dilemma of collaboration in county medical community,it proposes aoptimized paths for the collaborative evolution of tightly integrated county medical community in China.

Against the backdrop of the in-depth advancement of the integration of medical treatment and disease prevention strategy and the increasingly prominent challenges in public health emergency response,it is urgently necessary to build a modern health emergency management system featuring"medical and preventive collaboration and integration".By sorting out the concept,component elements and functional positioning of the emergency management system in public hospitals,it explores the basic framework and key links of the emergency management system in public hospitals,and ensures the effective implementation of the system through multi-dimensional collaborative efforts.

Objective:To evaluate the application effect of improved problem-based learning (PBL) based on 5W2H thinking in the course of "massage therapy".Methods:The undergraduate students in Class 1 and Class 2 of Acupuncture and Massage in the first semester of the 2023-2024 academic year at Heilongjiang University of Chinese Medicine were selected as the research subjects. The "massage therapy" was taught in Class 1 with the traditional method (control group, n=66) and in Class 2 with the method of improved PBL with 5W2H thinking (observation group, n=68). The two groups of students were compared in terms of theoretical knowledge of massage therapy, the assessment of massage skills, comprehensive ability, innovation ability, and practical ability, as well as the procedural evaluation indicators of massage. SPSS 25.0 was used for normality test and t test χ2 test. Results:After the completion of the study, the observation group showed higher scores in theoretical knowledge (90.56±11.73), massage skill proficiency [(87.22±11.57) vs. (78.23±9.45)], massage skill demonstration [(84.56±11.20) vs. (74.69±9.13)], mannequin usage [(82.98±10.75) vs. (72.66±8.89)], and massage skill mechanics [(86.38±11.45) vs. (73.35±8.94)] compared to the control group. The observation group also outperformed the control group in medical humanities [(85.53±10.64) vs. (64.86±7.33)], teacher-student and student-student interaction [(85.35±8.67) vs. (80.15±7.46)], clinical thinking and operation [(90.05±12.13) vs. (74.26±8.94)], and team coordination and cooperation [(85.60±10.06) vs. (81.53±9.33)]. In addition, the observation group scored higher than the control group in learning participation rate [(18.20±3.75) vs. (13.15±2.93)], error correction rate [(27.56±5.85) vs. (22.11±4.62)], operational stability [(48.43±7.79) vs. (42.06±6.60)], and total score [(94.19±7.56) vs. (77.32±6.78)].Conclusions:The application of improved PBL based on 5W2H thinking in the course of "massage therapy" has significant clinical implications. It can not only improve the teaching quality and effect, but also cultivate students' clinical thinking, teamwork, learning interest, and innovation ability, making it suitable for further promotion and application.

Osteoporosis is highly prevalent and a leading cause of disability and death in the elderly. Bone metabolism homeostasis is maintained through the coupling of osteoblasts and osteoclasts. While current treatments can reduce bone loss, they may cause side effects such as gastrointestinal discomfort. Neuroboneology has gained attention as the nervous system, both directly and indirectly, influences bone metabolism, remodeling, and formation. Studies have also highlighted the role of peripheral nerves and blood vessels in bone health. Neuropeptides, small signaling molecules produced by neurons, regulate vascular function and bone homeostasis. These neuropeptides may offer new insights into the "peripheral nerve-angiogenesis-bone homeostasis" regulation theory. This study explores the impact of peripheral nerves on osteoporosis through neuropeptides.

Objective To explore the acupoint selection law and staged acupuncture prescriptions in the treatment of post-stroke dysphagia using data mining technology.Methods Clinical research literature about acupuncture treatment of post-stroke dysphagia was retrieved from CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Cochrane Library from January 1,2004 to October 1,2024.Prescription information was organized and summarized,and was entered into the database.Descriptive analysis,association rule analysis,complex network analysis and clustering analysis on prescription acupoints were conducted with Excel 2021,SPSS Modeler 18.0 and SPSS 26.0 softwares.Results A total of 306 articles were included,including 328 acupuncture prescriptions involving 118 acupoints,with a cumulative frequency of 1 541 times.The core acupoints were Lianquan,Fengchi,Yuye,Jinjin,Yifeng,Jialianquan,Fengfu and Wangu.The main meridians were Conception Vessel,gallbladder meridian,Governor Vessel and stomach meridian.The distribution was concentrated in the head,face and neck,and the use of intersection acupoints were the most.Association rule analysis showed that Lianquan-Fengchi,Lianquan-Jinjin-Yuye had the highest degree of support for association rules,and the clustering analysis showed 4 categories such as Jialianquan-Baihui-Fengfu.The analysis obtained corresponding acupuncture prescriptions for oral stage,pharyngeal stage and esophageal stage of dysphagia.Conclusion Acupuncture treatment of post-stroke dysphagia is mainly based on local acupoint and acupoint along meridians,mostly using intersection acupoints,combined with distal acupoints,and selecting the corresponding acupoints in different periods,which can improve the clinical efficacy.

Objective To explore the mechanism of Yizhu Wendan Decoction in treating eczema through GEO database combined with network pharmacology and experimental verification.Methods TCMSP,BATMAN-TCM and ETCM databases were used to screen the active components of Yizhu Wendan Decoction.Disease target information related to eczema was collected through GEO database.The drug-component-target network and PPI network were constructed by intersections of active component targets and disease targets.GO and KEGG pathway enrichment analyses were performed using DAVID database.CCK-8 method was used to screen out the optimal intervention concentration of freeze-dried powder of Yizhu Wendan Decoction.HaCaT cells were divided into control group,model group,Yizhu Wendan Decoction low concentration group,Yizhu Wendan Decoction high concentration group,si-IL-17RA group,si-IL-17RA+Yizhu Wendan Decoction low concentration group,si-IL-17RA+Yizhu Wendan Decoction high concentration group,Dexamethasone group,si-IL-17RA+Dexamethasone group.Each group was given relevant intervention.The expressions of chemokines and inflammatory factors were detected by qPCR.EdU and Annexin V-FITC/PI double staining were used to detect cell proliferation and apoptosis.Western blot was performed to detect the expressions of proteins related to apoptosis,skin barrier and IL-17 signaling pathway.Results By using databases,180 active components of Yizhu Wendan Decoction were obtained.Combined with GEO database microarrays related to eczema(GSE6012 and GSE57225),8 potential targets of Yizhu Wendan Decoction in the treatment of eczema were obtained.KEGG enrichment pathway mainly involved IL-17 signaling pathway,lipid and atherosclerotic,TNF signaling pathway,fluid shear stress and atherosclerotic,etc.When Yizhu Wendan Decoction freeze-dried powder concentration was 100 μg/mL,cell viability was the strongest.Yizhu Wendan Decoction could significantly inhibit the mRNA expressions of chemokines and inflammatory factors CCL17,CCL22,IL-1β,TNF-α,IL-6,IFN-γ,and increase the mRNA expression of IL-4 in eczema.It promoted the proliferation of HaCaT cells,increased the protein expression of Bcl-2,and reduced the protein expressions of Bad and Cleaved Caspase-3,thus inhibiting HaCaT cells apoptosis;promoted the protein expressions of FLG and LOR,and reduced the expression of MMP9,MMP1,CCL2,FOSL1,IL-17RA proteins in IL-17 signaling pathway.Conclusion Yizhu Wendan Decoction can treat eczema with multiple components,multiple pathways and multiple targets,promote the proliferation of HaCaT cells,inhibit their apoptosis,and restore the skin barrier.Its mechanism may be related to inhibiting the activation of IL-17 signaling pathway.

Objective To identify biomarkers that characterize its bitter-cold properties of Scutellaria Radix on the basis of evaluating its cold and hot properties,as well as possible metabolic pathways and related targets;To explore its molecular mechanism.Methods Totally 40 mice were randomly divided into a control group and a treatment group,and were orally administered with normal saline and Scutellaria Radix decoction,respectively,for 4 consecutive days.The cold and hot plate differential method was used to evaluate the cold and hot tendencies of the mice;UPLC-MS/MS technology was used to analyze mouse blood samples,differential metabolites were screened using principal component analysis,partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods,and metabolic pathway analysis was performed;network modular analysis of differential metabolites was performed using Cytoscape 3.9.0 software to identify potential molecular targets.Results On the second day of administration,the anal temperature of mice in the treatment group decreased significantly compared to the control group(P<0.01);in the cold and hot tendency test,the mice in the treatment group showed an overall increase in high-temperature tendency and a higher proportion of high-temperature zone retention.There was a statistically significant difference(P<0.01,P<0.05)between the treatment group and the control group on the 2nd and 3rd day of treatment;the pattern recognition analysis of serum metabolome data showed that the serum samples of the treatment group and the control group could be completely separated,and a total of 14 differential metabolites were screened out;metabolic pathway analysis identified 16 related pathways,including unsaturated fatty acid biosynthesis,linoleic acid metabolism,citric acid cycle(TCA cycle),arachidonic acid metabolism,glycine,serine and threonine metabolism,steroid hormone biosynthesis,etc.;a total of 16 modules were obtained through network modular analysis,among which the arachidonic acid metabolism pathway and linoleic acid metabolism pathway modules were larger;the nodal degree values of arachidonic acid and linoleic acid were greater than the mean,involving arachidonic acid metabolism and linoleic acid metabolism pathways;by screening 26 genes associated with the cytochrome P450 enzyme system were obtained.Conclusion Scutellaria Radix may regulate the body's energy metabolism,achieve its biological effects,and characterize its medicinal properties by intervening in metabolic pathways such as arachidonic acid and linoleic acid.