Depression and anxiety are the two most common mental disorders, which have severe negative impacts on individuals and society. Early and accurate identification of these disorders is crucial for symptom control and positive prognosis. Traditional identification approaches such as scale screening and interviews rely on patients' self-reporting and the comprehensive judgment of psychiatrists. These methods inherently have limitations such as subjectivity and dependence on the availability and convenience of medical resources. Therefore, seeking objective means to assist in the identification of depression and anxiety disorders has become a research focus in recent years. Electroencephalogram (EEG), which describes changes in potential difference on the scalp surface, offers advantages such as objectivity, quantification and high temporal resolution. EEG has become one of the potential objective indicators for identifying depression and anxiety disorders.Machine learning algorithms are key technologies for extracting EEG signal features and improving identification accuracy. The combination of EEG collection and machine learning algorithms is expected to become a new method for identifying depression and anxiety disorders. In addition, portable EEG collection provides the possibility for rapid identification of mental disorders and large-scale screening activities. This article reviews the application of EEG for depression and anxiety disorders identification, providing a reference for scholars in related fields, with the aim of promoting the development of mental disorder identification towards objectivity and visualization in China.

AIM To study the chemical constituents from Inula japonica Thunb.and their anti-asthmatic activity.METHODS Separation and purification were performed using silica gel and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The effect of compounds on the release rate of β-Hex was evaluated by substrate coloration method.RESULTS Twenty-three compounds were isolated and identified as dehydrodontic acid(1),vitexin(2),alternariol(3),globuxanthone(4),1,3,6,7-tetrahydroxyxanthone(5),hydroxyhydrolapachol(6),isoscopoletin(7),elephanmollen(8),benzoylcholine(9),hoconobiflavone(10),clovandiol(11),hydroxydihydrobovolide(12),5,7-dihydroxycoumarin(13),scopoletin(14),orlichenol glucoside(15),urolignoside(16),9-angeloyloxythymol(17),6,3′,4′-trihydroxyaurone(18),flufuran(19),sweroside(20),guajadial(21),5,7,4′-trimethoxy-4-phenylcoumarin(22),dibutylphthalate(23).After intervention with compounds 9 and 16,the release rates of β-Hex were(56.64±2.37)％and(58.07±2.29)％,respectively.CONCLUSION Compounds 1-23 are isolated from Ⅰ.japonica for the first time.Compounds 9 and 16 have anti-asthmatic activity.

Nursing practice is an important component of the healthcare service system and plays a crucial role in achieving the strategic goal of"Healthy China Initiative".Facing the growing health needs and increasingly complex health issues,the concept of Population Medicine,which aims to maximize the overall and long-term health benefits of the population,is expected to provide new theoretical foundations for the nursing practice in China.Integrating the concept of Population Medicine into nursing practice can give full play to the professional value of nursing workers,improve nursing quality,and promote the construction of Healthy China.This review summarized the development of the concept of Population Medicine,its specific connotation and its application in the field of nursing practice,and relevant suggestions are put forward,providing references for scholars to deepen the integration and application of Population Medicine in nursing practice and promote the development of nursing in China.

Objective Under the operation background of Diagnosis-Intervention Packet(DIP),whether there is interaction between reducing medical cost and average length of stay combined with pre-hospitalization mode,and whether there is difference between different departments and diseases in interaction.Methods Based on real-world data from 71 453 patients admitted to Guizhou Provincial People's Hospital from July to December 2021,a two-way analysis of variance was employed.When the interaction effect was statistically significant,parameter estimation was used to determine the magnitude and direction of the interaction effect,followed by subgroup analyses by department and disease.Results Without adjustment,both total medical costs and average length of stay exhibited a negative interaction effect(P＜0.05).Subgroup analyses revealed that in terms of total medical costs,the effect size for the surgical system was 0.18％,lower than that for the internal medicine system(0.70％);for core diseases,it was 6.62％,lower than that for comprehensive diseases(7.71％).Regarding average length of stay,the effect size for the surgical system was 0.55％,better than that for the internal medicine system(0.22％);for core diseases,it was 8.70％,higher than that for comprehensive diseases(2.90％).Conclusion The combination of DIP payment reform and pre-admission management model demonstrates a synergistic effect,effectively reducing patients' medical costs and length of stay.This effect is influenced by disease complexity and the standardization of diagnostic and treatment processes.

AIM To explore the differential metabolites of different aged Citrus reticulate'Chachi'and their processed cakes.METHODS Non-targeted metabolomics technology of GC-TOF-MS was used to analyze the chemical constituents.The data was processed by principal component analysis and orthogonal partial least squares discriminant analysis,and the differential metabolites were identified.RESULTS A total of 74 differential metabolites were identified,including 16 glycosides,14 organic acids and their derivatives,11 amino acids and their derivatives,and 4 flavonoids.Comparative analysis revealed 40 and 30 differential metabolites between fresh C.reticulate'℃hachi'and 3-year or 5-year aged samples,respectively.Furthermore,27 and 34 differential metabolites were identified between the 3-year or 5-year aged samples and their corresponding processed cakes,respectively.Differential metabolites among fresh,aged C.reticulate'Chachi',and processed cakes were predominantly enriched in 6 metabolic pathways,including the biosynthesis of secondary metabolites.Specifically,differential metabolites between 3-year aged C.reticulate'Chachi'and its processed cake were significantly enriched in 4 pathways,such as ABC transporters.Differential metabolites between 5-year aged C.reticulate'Chachi'and its processed cake were mainly enriched in 5 pathways,including carbon metabolism.CONCLUSION Non-targeted metabolomics technology can elucidate the chemical compositional differences among fresh/aged and processed cakes of C.reticulate'Chachi',laying a foundation for the research into C.reticulate'Chachi'aging processing techniques and the development of processed products.

Objective:To investigate the effects of Japan tallow(JT)on liver injury and gut microbiota regulation in type 2 diabetes mellitus(T2DM)mice,thereby providing a theoretical basis for developing therapeutic edible oils for diabetes treatment.Methods:T2DM animal model was established through a combined approach of nutritional intervention and chemical induction.Experimental animals were first fed a high-fat diet(HFD)for 6 weeks,followed by intraperitoneal injection of freshly prepared streptozotocin(STZ).After successful model establishment,the mice were divided into five groups(n=6 per group):control group without any intervention;T2DM group;HFD reversion to standard chow group;metformin group;and JT intervention group,which received respective treatments for 4 weeks.At the endpoint,fresh fecal samples were collected from all groups,and the gut microbiota composition was analyzed using 16s rDNA high-throughput sequencing.Liver histopathological changes were examined using histological methods.Results:Compared with the normal control(ND),T2DM mice showed significantly increased fasting blood glucose(FBG)levels,with evident hepatocyte lipid accumulation,steatosis,inflammatory cell infiltration,and widespread vacuolar and fatty degeneration.After Japan tallow(JT)intervention,FBG levels decreased significantly,liver color approximated normal appearance,and pathological morphology improved noticeably.16s rDNA sequencing analysis demonstrated that JT treatment could effectively regulate the intestinal microbiota structure in T2DM mice.Increased microbial α-diversity indices(Chao1,observed_species,Faith_pd,Simpson);At the phylum level,increased Verrucomicrobia abundance while decreased Proteobacteria were detected;At the family level,elevated Bifidobacteriaceae and reduced Porphyromonadaceae were seen;At the genus level,Bifidobacterium was promoted and Akkermansia proliferat while Escherichia and Klebsiella were downregulated.Conclusions:Japan tallow exhibits significant effects in alleviating liver tissue damage and regulating intestinal microbiota disorders in T2DM mice,our study indicated new theoretical basis for the research and development of potential strategy for diabetes.

Depression and anxiety are the two most common mental disorders, which have severe negative impacts on individuals and society. Early and accurate identification of these disorders is crucial for symptom control and positive prognosis. Traditional identification approaches such as scale screening and interviews rely on patients' self-reporting and the comprehensive judgment of psychiatrists. These methods inherently have limitations such as subjectivity and dependence on the availability and convenience of medical resources. Therefore, seeking objective means to assist in the identification of depression and anxiety disorders has become a research focus in recent years. Electroencephalogram (EEG), which describes changes in potential difference on the scalp surface, offers advantages such as objectivity, quantification and high temporal resolution. EEG has become one of the potential objective indicators for identifying depression and anxiety disorders.Machine learning algorithms are key technologies for extracting EEG signal features and improving identification accuracy. The combination of EEG collection and machine learning algorithms is expected to become a new method for identifying depression and anxiety disorders. In addition, portable EEG collection provides the possibility for rapid identification of mental disorders and large-scale screening activities. This article reviews the application of EEG for depression and anxiety disorders identification, providing a reference for scholars in related fields, with the aim of promoting the development of mental disorder identification towards objectivity and visualization in China.

Objective:To investigate the role of hypoxia-induced angiopoietin-like protein 4 (ANGPTL4) expression in experimental choroidal neovascularization (CNV).Methods:Twenty-seven SPF male C57BL/6J mice aged 6-8 weeks were selected.Eighteen of the mice were used to establish a laser-induced CNV model.On the 7th day after laser photocoagulation, success of the modeling was verified using optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA). The retinal pigment epithelium (RPE)-choroid-sclera complex was extracted for protein analysis before modeling and on the 3rd and 7th days after modeling.The relative expression levels of ANGPTL4 and vascular endothelial growth factor (VEGF) at different time points were detected by Western blot.Additionally, frozen sections of mouse eyeballs on day 7 after modeling were prepared and the expression and cellular localization of ANGPTL4 were observed by immunofluorescence.RF/6A cells, derived from monkey choroidal retinal endothelial cells, were treated with 200 μmol/L cobalt chloride (CoCl 2) in the culture medium for 0, 3, 6, and 12 hours.RF/6A cells were also divided into a normal control group, a hypoxia group, and a hypoxia+ si-ANGPTL4 group, and cells were transfected with a plasmid containing si-ANGPTL4 sequence.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot, and the differences in tube formation among the groups were observed by tube formation assay.A total of 27 male C57BL/6J mice were randomly divided into CNV group, CNV+ si-NC group, and CNV+ si-ANGPTL4 group, with 9 mice in each group.In the CNV+ si-NC and CNV+ si-ANGPTL4 groups, si-NC and si-ANGPTL4 were respectively injected into the vitreous cavity after the CNV model was established.Fluorescence leakage in mice was observed by FFA, and the length, thickness and area of CNV was observed using OCTA and immunofluorescence staining of choroidal flat mounts.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot.All animal experiments were conducted in accordance with ARVO Statement on the Use of Animals in Ophthalmic and Vision Research.The experimental protocol was approved by the Affiliated Hospital of Nantong University (No.S20220822-902). Results:Before modeling and on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 protein were 1.00±0.00, 1.58±0.05, and 1.90±0.04, respectively, and the relative expression levels of VEGF protein were 1.00±0.00, 1.31±0.05, and 1.84±0.04, respectively, with statistically significant overall differences ( F=528.934, 390.424, both P<0.05). Among them, on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 and VEGF proteins were significantly higher in CNV group than in the control group (all P<0.05). The tissues of each layer of the retina were clear in the control group, while neovascularization could be seen growing under the retinal neuroepithelial layer in the CNV group.Compared with the control group, ANGPTL4 expression was significantly increased and colocalized with vascular endothelial cells in the CNV group.After CoCl 2 treatment of RF/6A cells for 3, 6, and 12 hours, the relative expression levels of ANGPTL4 and VEGF proteins were higher than at 0 hour, with statistically significant differences (all P<0.05). Compared with the control group, the relative ANGPTL4 protein expression was increased in the hypoxia group and significantly decreased in the hypoxia+ si-ANGPTL4 group, showing statistically significant differences (both P<0.05). The number of tube formations in the control group, hypoxia group, and hypoxia+ si-ANGPTL4 group were 12.67±1.53, 19.64±1.56, and 17.01±1.04, respectively, with a statistically significant overall difference ( F=33.091, P<0.01). The number of tube formations increased in the hypoxia group and hypoxia+ si-ANGPTL4 group compared with the control group, and the number of tube formations decreased in the hypoxia+ si-ANGPTL4 group compared with the hypoxia group, with statistically significant differences (all P<0.05). Relative expression levels of ANGPTL4 and VEGF proteins were significantly lower in the CNV+ si-ANGPTL4 group than those in the CNV group (both P<0.05). The CNV area was significantly lower in the CNV+ si-ANGPTL4 group than in the CNV group and CNV+ si-NC group (both P<0.05). Conclusions:Hypoxia-induced ANGPTL4 promotes experimental CNV formation in vivo and in vitro.Inhibiting ANGPTL4 can reduce CNV formation and leakage.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.