Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

ObjectiveBased on non-targeted metabolomics， to analyze the regulation of endogenous differential metabolites in serum of type 2 diabetes mellitus（T2DM） rats by Fuling Yunhua granules， and to clarify the metabolic pathways through which this granules exerted its effect on improving T2DM. MethodSeventy SD rats， half male and half female， were randomly divided into the control group， model group， and high， medium， low dose groups of Fuling Yunhua granules（20.70， 10.35， 5.18 g·kg^-1 in raw drug amount） and the positive drug group（pioglitazone hydrochloride tablets， 8.1 mg·kg^-1）. Except for the control group， other groups were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin（STZ） to establish a T2DM rat model. After successful modeling， the treatment groups were administered the corresponding drugs by gavage， and the control group and model group were treated with an equal volume of saline by gavage， once/d， for 28 d. Fasting blood glucose（FBG） and glycosylated hemoglobin A1c（GHbA1c） levels were measured in all groups of rats during the administration period， and hematoxylin-eosin（HE） staining was used to observe the pathomorphological changes in the pancreatic tissues of rats at the end of the administration period. The endogenous metabolite levels in rat serum were detected by ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-LTQ-Orbitrap MS）， and the data were processed using principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. Differential metabolites were identified by the Human Metabolome Database（HMDB） and the Kyoto Encyclopedia of Genes and Genomes（KEGG）， and screened for differential metabolites with variable importance in the projection（VIP） value>1， P<0.05， and fold change（FC）<0.6 or FC>1. And the metabolic pathway enrichment analysis of the screened differential metabolites was performed by MetaboAnalyst 5.0， then the screened differential metabolites were diagnosed and evaluated by the receiver operating characteristic（ROC） curves. ResultCompared with the control group， the FBG level of rats in the model group increased significantly（P<0.01）， the GHbA1c content tended to increase， but the difference was not statistically significant， and the pancreatic tissue of rats was obviously damaged， the number of pancreatic islets decreased， and the pancreatic β-cells were obviously reduced， atrophied and enlarged. Compared with the model group， the FBG levels of rats in the high dose group of Fuling Yunhua granules and the positive drug group were significantly reduced after 2 weeks of administration（P<0.05， P<0.01）， the GHbA1c content of rats in the high dose group of Fuling Yunhua granules was significantly reduced（P<0.05）， and the pancreatic tissue lesions of rats in the different dose groups of Fuling Yunhua granules were reduced. The results of non-targeted metabolomics showed that 46 differential metabolites were significantly changed in the model group compared with the blank group. Pathway enrichment analysis found that T2DM mainly affected biological processes including biosynthesis of primary bile acid， D-amino acid metabolism， steroid hormone biosynthesis， and glycerophospholipid metabolism in rats. Compared with the model group， the levels of 8 differential metabolites in the high dose group of Fuling Yunhua granules were significantly adjusted， and the pathway enrichment analysis found that D-amino acid metabolism， retinol metabolism， glycine， serine and threonine metabolism， tryptophan metabolism and other metabolic pathways were mainly involved. ROC curves further analysis revealed that the four characteristic differential markers of 11-cis-retinol， D-piperidinic acid， D-serine， and p-cresol sulfate had high diagnostic value for the treatment of T2DM with Fuling Yunhua granules. ConclusionFuling Yunhua granules can improve the symptoms of T2DM rats by regulating the amino acid metabolic and retinol metabolic pathways through the modulation of endogenous differential metabolites.

ObjectiveTo adapt the Stanford Expectations of Treatment Scale（SETS） into Chinese（C-SETS） and test the feasibility， validity and reliability of its application in patients with diarrhea-predominant irritable bowel syndrome（IBS-D） with liver-constraint and spleen-deficiency syndrome treated with traditional Chinese medicine（TCM）. MethodsWe obtained authorisation from the developer of the SETS， and followed the principle of "two-way translation" to translate the SETS by literal translation and back translation to form the C-SETS. Ninety-six IBS-D patients with liver-constraint and spleen-deficiency syndrome were enrolled as respondents and filled out C-SETS before receiving treatment； the feasibility was assessed by the recall rate， completion rate and the duration of filling out the scale； the reliability was assessed by Cronbach's α； the structural validity was assessed by exploratory and confirmatory factor analysis， and the content validity was assessed by correlation analysis. ResultsThe C-SETS consists of 10 items， with the 1st， 3rd， and 5th rating items constituting the Positive Expectations subscale， and the 2nd， 4th， and 6th rating items constituting the Negative Expectations subscale， each of which is rated on a 7-point Likert Scale. The recall of C-SETS was 100%（96/96）， the completion rate was 89.58%（86/96）； Cronbach's α for the Positive and Negative Treatment Expectations subscales were 0.845 and 0.854， respectively； exploratory factor analysis showed that the coefficient of commonality for all six entries was larger than 0.4， and that the six entries could be used by both factors to explain 77.092% of the total variance； validation factor analysis showed that the goodness-of-fit index， comparative fit index， root mean square of approximation error， canonical fit coefficient， and chi-square degrees of freedom ratio took the values of 0.943， 1.003， 0， 0.943， and 0.626， respectively； and the results of Spearman's analysis suggested that the C-SETS had good content validity. ConclusionThe C-SETS has well feasibility， reliability， and validity， which initially proves that it can be used as a tool to assess the treatment expectation of patients with IBS-D with liver-constraint and spleen-deficiency syndrome before receiving TCM treatment.

OBJECTIVE To establish the specific chromatogram of Qianghuo Shengshi Tang(QHSS) reference sample, clarify the key quality attributes of QHSS, providing reference for the quality evaluation of QHSS reference sample. METHODS The SilGreen C18 column(4.6 mm×250 mm, 5 μm) was used. The mobile phase consisted acetonitrile and 0.2% formic acid aqueous solution. The detection wavelength was 328 nm. Established an HPLC characteristic spectrum analysis method for the reference sample of QHSS. A variety of chromatographic columns and different instruments were applied to investigate the adaptability of the system. HPLC-LTQ-Orbitrap MS was used to identify the specific peaks of the QHSS reference samples in positive ion mode. RESULTS There were 14 peaks in the specific chromatogram, which belonged to Notopterygii Rhizoma Et Radix, Angelicae Pubescentis Radix, Ligustici Rhizoma Et Radix, Chuanxiong Rhizome, Viticis Fructus, respectively. Ferulic acid(peak 3) was reference peak. A total of 22 compounds were identified by mass spectrometry, including coumarin and flavonoids. CONCLUSION The established specific chromatogram method of QHSS is simple, stable and reproducible. The material basis of QHSS reference sample is basically determined, providing a reference for the development and quality control of QHSS.

ObjectiveTo analyze the prevalence of myopia among the primary school students in Shanghai, and to explore its relationship with sleep duration and sleep quality, providing references for precise myopia prevention. MethodsA cross-sectional survey and random sampling were employed. Between April and May 2023, a total of 1 889 students from grades 1 to 5 in Jiading District, Shanghai, were selected for vision testing and a questionnaire on children’s sleeping habits and relevant factors were conducted using the Children’s Sleep Habits Questionnaire (CSHQ) in Chinese. The relationship between myopia and sleep patterns was analyzed using chi-square tests and a multivariate logistic regression model. ResultsThe overall myopia rate among the primary school students in Jiading District, Shanghai, was 35.6%. The results of univariate analysis showed that in the myopia group, the incidences of sleep disturbance and sleep anxiety were lower compared to children without myopia, while the incidences of sleep continuity and parasomnias were higher than there in the non-myopia group (χ²=12.816, 10.292, 10.971, 3.917, all P<0.05). Additionally, among the elementary school students with an average daily sleep duration of less than 10 hours, the prevalence of myopia was higher. The multivariate logistic regression analysis revealed that factors such as being female (OR=1.291, 95%CI: 1.044‒1.597), higher grade levels (2^nd grade: OR=2.174, 95%CI: 1.471‒3.212; 3^rd grade:OR=3.850, 95%CI: 2.648‒5.598; 4^th grade: OR=8.906, 95%CI: 6.154‒12.890; 5^th grade: OR=12.299, 95%CI: 8.433‒17.937), having one parent (OR=2.250, 95%CI: 1.757‒2.881) or both parents(OR=3.623, 95%CI: 2.719‒4.827) with myopia, and parasomnias (OR=1.518, 95%CI: 1.065‒2.163) were associated with a higher detection rate of myopia. ConclusionThe prevalence of myopia is notably high among the primary school students in Jiading District, Shanghai, and there is an association between the occurrence of myopia and parasomnias.

Objective To study the effective fraction and mechanism of Lycium barbarum leaves on improving learning and memory ability of subacute aging mice induced by D-galactose injection.Methods The model of subacute aging mice was developed by injection of D-galactose subcutaneously,and different extracts of Lycium barbarum leaves were prepared.The effects of the extracts of Lycium barbarum leaves on the learning and memory ability of model mice were evaluated by Y maze experiment and new object recognition experiment.The pathomorphological changes of hippocampus in mice were observed by hematoxylin-eosin and Nissl staining.The levels of brain-derived neurotrophic factor(BDNF),nerve growth factor(NGF),glial cell line-derived neurotrophic factor(GDNF),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interferon-γ(IFN-γ)and interleukin-10(IL-10)in hippocampus of mice were detected by enzyme-linked immunosorbent assay.The activities of superoxide dismutase(SOD)and the contents of glutathione(GSH)and malondialdehyde(MDA)in hippocampus of mice were detected by related assay kits.Detection of apoptosis in the hippocampal region of mouse brain tissue using the TUNEL method.Western blotting analysis was used to detect the expressions of antioxidant proteins Nrf2,HO-1 and apoptotic proteins Caspase-3,Caspase-9 in hippocampus of mice.Results The water extraction part and 80%alcohol precipitation supernatant part of Lycium barbarum leaves significantly improved the learning and memory ability of model mice,improved the pathological damage of hippocampus in mice,increased the number of Nissl bodies in hippocampus of mice,and promoted the expression of neurotrophic factors BDNF,NGF and GDNF,and promoted the expression of neurotrophic factors BDNF,NGF and GDNF.Pro-inflammatory factors TNF-α,IL-1β and IFN-γ expression declines while anti-inflammatory factor IL-10 expression rises.The activity of SOD and the expression of GSH were increased,and the expression of MDA was decreased.Increase the expression of Nrf2 and HO-1 antioxidant proteins;reduce the expression of Caspase-3 and Caspase-9 apoptosis pathway proteins.Inhibition of apoptosis in the hippocampal region of mouse brain tissue using a model.Conclusion The water extracts and 80%alcohol precipitation supernatant extracts of Lycium barbarum leaves are the effective fractions of Lycium barbarum leaves to improve the learning and memory ability of D-galactose-induced subacute aging mice,and its mechanism might be related to the inhibition of neuronal apoptosis caused by oxidative stress and inflammation.

OBJECTIVE To evaluate the effect of Qishen Yizhi formula on improving learning and memory ability in D-galactose subcutaneous injection induced subacute aging mice.METHODS Subacute aging mice model mice were developed by D-galactose subcutaneous injection and then treated with positive drug donepezil(2 mg·kg-1·d-1)and Qishen Yizhi formula water extracts in low(1.33 g·kg-1·d-1)and high dose group(2.67 g·kg-1·d-1).The learning and memory abilities of mice were evaluated using Morris water maze and Y maze tests;HE staining was used to examine hippocampal damage in model mice;TUNEL was used to detect apoptosis of mouse hippocampal tissue;ELISA was used to detect the expression levels of oxidative stress factors and inflammatory fac-tors in the mouse hippocampus tissue;Western blot was used to detect the expression of signaling pathway proteins related to apoptosis,oxidative stress and inflammatory stress in the hippocampus of mice.RESULTS The water extract of Qishen Yizhi formula signifi-cantly shortened the latency and distance of model mice for reaching the platform in the water maze test(P<0.01),and significantly increased the number of crossing the platform(P<0.01);increased the exploration time and number of the Y maze new arm in model mice(P<0.05);inhibited the TUNEL fluorescence expression in the hippocampus of model mice(P<0.01);upregulated the activity of the oxidative stress factor superoxide dismutase(SOD)(P<0.05)and glutathione(GSH)content(P<0.05),and downregulated malondialdehyde(MDA)content(P<0.05);reduced interleukin(IL)-1β,IL-6 and tumor necrosis factor(TNF-α)expression levels(P<0.05,P<0.01);decreased the expression of apoptosis signaling pathway proteins Cleaved Caspase-3 and Caspase-3(P<0.05),upregulated the expression of oxidative stress signaling pathway proteins Nrf2 and HO-1(P<0.05),and downregulated the expression of inflammatory stress signaling pathway proteins p-NF-κB and NF-κB(P<0.05).CONCLUSION Qishen Yizhi for-mula can improve the learning and memory ability of subacute aging model mice injected with D-galactose,which may be related to its inhibitory effect on hippocampal oxidative stress and inflammatory stress.