OBJECTIVE To investigate the correlation of component content with colorimetric values during the roasting process of Ziziphus jujuba ， and to provide criteria for discriminating the roasting degree of Z. jujuba . METHODS Samples were prepared by dry stir-frying for different roasting times. The eight main components in raw Z. jujuba and the samples stir-fried for different roasting times-namely adenosine， magnoflorine， jujuboside A， spinosin， 6-feruloylspinosin， betulinic acid， oleic acid， and linoleic acid-were quantitativel y analyzed using ultra-performance liquid chromatography. The chromaticity values were determined using a UV spectrophotometer. The correlation and differences between the chromaticity values of Z. jujuba at different roasting times and their components content were analyzed by Pearson correlation analysis， linear regression analysis， principal component analysis （PCA） ， cluster heatmap analysis （CHA）， and partial least squares discriminant analysis （PLS-DA） to clarify the processing endpoint. RESULTS As the roasting time increased， the contents of linoleic acid and oleic acid decreased， while the contents of other components exhibited an increasing trend. Concurrently， the colorimetric value L* and E*ab were observed to decline， whereas the a* value demonstrated a gradual increase. Pearson correlation analysis revealed that L* and E*ab exhibited a significant negative correlation with the contents of adenosine， spinosin， 6-feruloylspinosin， jujuboside A， betulinic acid and magnoflorine （ P ＜0.05）. The results of linear regression analysis indicate that the content of six components, including adenosine， in the medicinal material can be preliminarily predicted by analyzing the colorimetric values of Z. jujuba powder. PCA and CHA successfully classified raw and stir-fried samples. The PLS-DA results indicated that L*， E*ab， a*， linoleic acid content， and oleic acid content were the main parameters that differentiated the color and quality of Z. jujuba at different roasting times. After frying for 9 to 10 minutes， the colorimetric values L* and E*ab decreased to their minimum values and stabilized， while a* remained consistently high with little variation；simultaneously， the concentrations of the six major components， excluding linoleic acid and oleic acid， reached their peak levels. CONCLUSIONS A significant correlation between the colorimetric values of Z. jujuba and the contents of six components， including adenosine， is confirmed. The optimal roasting time range is determined to be 9-10 minutes. Furthermore， the colorimetric value-component content correlation analysis method established in this study proved to be practical and applicable for discriminating the roasting degree of Z. jujuba .

AIM:To investigate the visual development of children under 6 years old in Wuhan, and provide evidence-based support for the formulation and optimization of regional policies for children's eye health care.METHODS:Suresight refractive screener was applied to rapid refractive status examination in 4 989 preschool children under 6 years old in Wuhan City, with results determined according to the manufacturer's age-specific referral criteria. All screened pre-school children completed vision screening and comprehensive ophthalmic examination.RESULTS: A total of 4 989 children under 6 years old were screened out, including 2 641 males and 2 348 females. They were divided into 6 groups according to age: 426 aged from 6-month to 1-year-old, 903 aged >1 to 2 years old, 1 078 aged >2 to 3 years old, 442 aged >3 to 4 years old, 808 aged >4 to 5 years old, and 1 332 aged >5 to 6 years old. The abnormal rate in the 6-month to 1-year-old group was 44.60%, in the >1 to 2 years old group was 26.02%, in the >2 to 3 years old group was 15.58%, in the >3 to 4 years old group was 10.86%, in the >4 to 5 years old group was 21.91%, in the >5 to 6 years old group was 23.27%, and the total refractive abnormal rate for children aged 6 mo to 6 years old was 22.61%. The refractive abnormal rate generally showed a decreasing trend with increasing age(P<0.001); the refractive abnormal rate in boys aged 6-month to 6 years old was 12.33%, and in girls was 10.28%, with no statistically significant difference in the abnormal rate between boys and girls(P>0.05); among children aged 6-month to 6 years old, the abnormal rate of single-eye myopia was 0.98%, of single-eye hyperopia was 5.41%, of single-eye astigmatism was 9.92%, of binocular myopia was 0.98%, of binocular hyperopia was 2.79%, and of binocular astigmatism was 8.14%; the prevalence of astigmatism in children aged 6-month to 1-year-old was 40.38%, in those aged >1 to 2 years old was 19.82%, in those aged >2 to 3 years old was 12.34%, in those aged >3 to 4 years old was 9.05%, in those aged >4 to 5 years old was 18.81%, and in those aged >5 to 6 years old was 16.89%; the prevalence of astigmatism in children aged 6-month to 6 years old was 18.06%. The abnormal rate of astigmatism in the four age groups ranging from 6-month to 4 years old decreased continuously with age(P<0.001). There was no statistically significant difference in the abnormal rate of astigmatism between the >4 to 5 years old group and the >5 to 6 years old group(P>0.05).CONCLUSION:Refractive error has become a common eye disease among preschool children. Through early vision screening, establishing a systematic refractive management file, and early intervention, the best treatment period can be seized to avoid missing it and causing adverse consequences.

Objective:To analyze the current status of clinical research registration on TCM prevention and treatment of malignant tumors in the Chinese Clinical Trail Registry (ChiCTR); To summarize its characteristics and shortcomings.Methods:Clinical studies on the TCM prevention and treatment for malignant tumors registered from the establishment of ChiCTR database to July 15, 2024 were retrieved. Excel 2019 software was used to sort out the data, including basic research information (registration time, registration number status, registration title, test organizer, research implementation location, etc.), design scheme (disease type, research type, intervention measures, sample size, blind method, etc.), research funding or material sources, as well as other information such as human specimen collection and recruitment of research objects. SPSS 27.0 software was used for frequency statistics.Results:A total of 891 registered studies were included, including 783 interventional studies and 108 observational studies; the areas with a large number of registrations were mainly Shanghai, Beijing, Guangdong Province, etc. ; the research funds mainly came from local finance; a total of 46 tumor diseases were involved in the study, with the largest number of lung cancer (209 items), followed by tumor-related syndromes (155 items), colorectal cancer (148 items), and breast cancer (136 items); the type of research design was mainly random parallel control; the main intervention measures were TCM decoction or herbal decoction pieces (373 items), and the dosage form was mostly decoction (216 items), followed by granules (94 items); single-blind or double-blind design was used in 217 registered trials; 663 registration trials involved the collection of human samples.Conclusions:The number of clinical research registrations on the TCM prevention and treatment for malignant tumors is increasing day by day. The shortcomings such as insufficient standardization of research design and lack of research transparency still exists. In the future, TCM researchers need to strengthen cooperation with international traditional medicine clinical trial registry, giving full play to the leading role of standardization of TCM trials, and using registration as a starting point to improve the quality of clinical research.

Background Exposure to air pollutants increases the risk of diseases in multiple systems, including respiratory and cardiovascular systems, yet its association with neurological diseases remains unclear. Objective To quantitatively evaluate the association between short-term exposure to air pollutants and outpatient and emergency visits for neurological diseases, identify potential susceptible populations, and quantify associated disease burden. Methods Daily 24-hour average concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), daily maximum 8-hour average concentration of ozone (O₃), daily meteorological data (24-hour average temperature, 24-hour average relative humidity), and data on daily outpatient and emergency department visits for neurological diseases from two hospitals in Conghua District, Guangzhou, China, were collected from 2015 to 2022. A time-stratified case-crossover design was adopted, and a conditional Poisson regression model was constructed to analyze the association between air pollution exposure and neurological disease visits. Two-pollutant models and sensitivity analysis were used to validate model stability. Stratified analyses by season (cold season: from November to March; warm season: from April to October), sex (male, female), and age (≤45 years, 46–60 years, ≥61 years) were performed to identify vulnerable group. Additionally, the number and proportion of neurological disease visits attributable to short-term air pollutant exposure were calculated. Results A total of 72 673 outpatient and emergency department visits for neurological diseases were included during the study period. Most of the patients were middle-aged and elderly individuals (69.89% were over 45 years old) and females (60.25%). The results of single-pollutant models showed that for each interquartile range (IQR) increase in exposure to PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃, the risk of outpatient and emergency department visits for neurological diseases increased by 7.54% (95%CI: 4.69%, 10.46%), 6.66% (95%CI: 3.92%, 9.46%), 16.72% (95%CI: 10.58%, 23.19%), 8.12% (95%CI: 4.82%, 11.53%), 5.60% (95%CI: 2.34%, 8.97%), and 6.11% (95%CI: 2.91%, 9.40%), respectively. The results of the two-pollutant model showed that the association between PM_2.5 and SO₂ exposure and outpatient and emergency department visits for neurological diseases were relatively stable. The stratified analyses showed that the effect of SO₂ was stronger in the cold season. It was estimated that 8.32% (95%CI: 5.55%, 10.96%) and 6.65% (95%CI: 4.27%, 8.96%) of the outpatient and emergency department visits were attributable to short-term exposure to SO₂ and PM_2.5, respectively. Conclusion Exposure to PM_2.5 and SO₂ is associated with increased risks of outpatient and emergency visits for neurological diseases. SO₂ shows stronger effects during the cold season, and exposure to air pollution contributes to up to 8.32% of neurological disease visits.

Investigator initiated trial （IIT） represents a primary format for clinical research in traditional Chinese medicine （TCM）. As key implementation sites for TCM-based IIT targeting malignant tumors， western medicine institutions often face unique challenges in conducting such studies， which limit their feasibility and standardization. This paper reviews the registration status of TCM-based IIT for malignancies conducted in western medical institutions and analyzes key difficulties， including complex project initiation and management processes， limited TCM knowledge and skills among western medicine physicians， and relatively low patient acceptance of TCM. From a practical perspective， the study proposes several optimization strategies. These include improving the review and management mechanisms of TCM-related IIT within western medical institutions， establishing multidisciplinary clinical research teams that integrate TCM and western medicine， and enhancing investigators' training in TCM theory and clinical skills. Additionally， the study suggests standardizing IIT operational procedures， objectifying the collection of TCM diagnostic information， refining subject recruitment methods， and increasing TCM involvement in patient follow-up and management. These investigator-oriented， TCM-featured， and operable strategies aim to promote the high-quality development of TCM-based IIT in western medicine institutions and enhance the clinical application of TCM.

Objective To quantitatively assess the association of short-term exposure to polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter (PM2.5) with residents mortality. Methods A time-stratified case-crossover study was conducted from 2020 to 2022 among 10606 non-accidental residents by using the Guangzhou Cause of Death Surveillance System in Conghua District, Guangzhou. Exposure levels of PAHs in PM_2.5 and meteorological data during the study period were obtained from the Center for Disease Control and Prevention in Conghua District and the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0), respectively. Conditional Poisson regression model was used to estimate the exposure-response association between PAHs and the mortality risk. Results Fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene were significantly associated with an increased risk of mortality. For every one interquartile range increase in exposure levels, the non-accidental mortality risks increased by 8.33% (95% CI: 1.80%, 15.27%), 4.67% (95% CI: 1.86%, 7.57%), 6.07% (95% CI: 2.08%, 10.21%), 4.62% (95% CI: 1.85%, 7.47%), and 4.70% (95% CI: 0.53%, 9.03%), respectively. The estimated non accidental deaths attributable to exposure to fluoranthene, chrysene, benzo[k]fluorine, benzo[a]pyrene and indine[1,2,3-cd]pyrene were 5.91%, 6.08%, 6.51%, 6.46%, and 4.21%, respectively. Conclusions Short-term exposure to PAHs in PM_2.5, including fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene and indine[1,2,3-cd]pyrene, was significantly associated with an increased risk of mortality among residents.

Objective Based on the characteristics of common diseases in primary care,it explores the achievabili-ty of internet first diagnosis from the perspective of clinical doctors in large tertiary hospitals,providing a reference for promoting the policy of internet first diagnosis.Methods Stratified sampling was used to select about 10 attending physicians or above from each specialty.A total of 164 doctors were surveyed on the achievability of specific diseases.Chi-square test or Fisher's exact test were conducted to identify the influencing factors of the achievabili-ty of each disease.Results Among the common diseases in primary care,13 diseases(25.49％)had a low degree of achievability for diagnosis,18 diseases(35.29％)had a medium degree,and 20 diseases(39.22％)had a high de-gree.For treatment,19 diseases(37.25％)had a low degree of achievability,22 diseases(43.14％)had a medium degree,and 10 diseases(19.61％)had a high degree.The emergency level,severity,diagnostic complexity,ex-pected treatment outcome,information provided,and diagnostic technology matching degree all had significant impacts on the achievability of Internet first diagnosis(P＜0.05).Conclusion The feasibility of the first diagnosis of common diseases through online medical services varies greatly.It is suggested that a differentiated online first diagnosis ser-vice system for common diseases be established based on the differences in the feasibility of the first diagnosis through the Internet,and the feasibility of the first diagnosis through the Internet be enhanced by developing smart medical technologies.

This study investigates the expression pattern and functional significance of EF-hand domain-containing protein 2 (EFHD2) in hepatocellular carcinoma (HCC), with particular focus on its regulatory effects on tumor proliferation, migration, and invasion. Cellular experimental study was completed from June 2024 to January 2025 in the Basic Laboratory of the General Hospital of Southern Theater Command. TCGA database to determine EFHD2 expression and its clinicopathological correlations. GSCA database to assess methylation patterns and immune infiltration. Model of transient overexpression and knockdown of EFHD2 was constructed in hepatocellular carcinoma cells Hep3B, then RT-qPCR and Western blot were applied to verify the transfection efficiency. CCK-8 and colony formation assays for proliferation assessment, Transwell chambers for migration/invasion quantification. Protein-protein interaction networks were constructed via STRING, followed by GO/KEGG enrichment analysis. Statistical analysis was performed using the two independent samples t-test. The results showed that EFHD2 demonstrated significant upregulation in HCC tissues versus normal controls ( P<0.05). Elevated EFHD2 expression correlated with advanced clinical stage ( P<0.05) and poor differentiation ( P<0.05). In the CCK-8 assay, the EFHD2 overexpression group demonstrated significantly higher cell viability than the control group, as evidenced by 450 nm relative absorbance values on Day 1 (0.529±0.019 vs. 0.515±0.016, F=0.041, P=0.320), Day 2 (1.356±0.019 vs. 1.094±0.042, F=3.833, P<0.001), Day 3 (2.817±0.049 vs. 2.143±0.124, F=3.833, P<0.001), and Day 4 (3.848±0.015 vs. 3.430±0.021, F=0.469, P<0.001). The EFHD2 knockdown group showed reduced cell viability compared to controls: Day 1 (0.541±0.020 vs. 0.552±0.015, F=0.098, P=0.423), Day 2 (1.154±0.009 vs. 1.326±0.029, F=2.485, P<0.001), Day 3 (2.453±0.041 vs. 2.653±0.031, F=0.479, P<0.001), and Day 4 (3.685±0.038 vs. 3.836±0.021, F=6.804, P<0.001). In colony formation assays, the overexpression group displayed a significant increase in colony numbers (254.667±23.861 vs. 186.000±16.703, F=0.865, P=0.015), whereas the knockdown group exhibited decreased colony formation (229.000±24.637 vs. 306.667±36.501, F=0.988, P=0.038). In Transwell assays, the EFHD2 overexpression group revealed enhanced migratory capacity [ (605.000±72.670) cells vs. (472.667±28.095) cells, F=2.462, P=0.042] and invasive potential [(767.333±21.221) cells vs. (414.333±16.623) cells, F=0.331, P<0.001]. The knockdown group showed attenuated migration [(311.000±71.084) cells vs. (479.667±50.846) cells, F=0.718, P=0.029] and invasion [(247.667±48.263) cells vs. (345.667±32.130) cells, F=0.727, P=0.043] compared to controls. The network of EFHD2-interacting proteins was further constructed by the STRING database, and the GO and KEGG analysis were used to perform bioinformatics analysis reveal that EFHD2 is mainly involved in actin cytoskeleton regulation. In conclusion, EFHD2 is highly expressed in HCC and is involved in the process of proliferation, migration and invasion of HCC.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Objective:To explore the correlation between the level of T-lymphocyte subsets in peripheral blood and the progression of Alzheimer′s disease (AD).Methods:A cross-sectional study was conducted, including 30 cases of amnestic mild cognitive impairment (aMCI; aMCI group), 30 cases of mild AD (Mi-D; Mi-D group), 30 cases of moderate AD (Mo-D; Mo-D group), who were diagnosed in the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from January to December 2023, and 30 normal controls (normal control group) matched by age and gender. The levels of T cell subsets in peripheral blood were detected by flow cytometry, and the subpopulations of CD4 +T cells, Th cells, were examined. Binary Logistic regression was used to explore the correlation between factors affecting patients′ cognitive function and the onset of AD, and Spearman′s correlation analysis was applied to assess the association between the level of peripheral blood immune cells and the severity of AD. Results:There were no statistically significant differences in peripheral blood CD4 +T cells ( F=1.762, P=0.158), CD8 +T cells ( F=0.370, P=0.775), CD4 +/CD8 +ratios ( F=1.976, P=0.121), and regulatory T cells (Tregs) levels ( F=0.232, P=0.874) among the aMCI group, Mi-D group, Mo-D group, and normal control group in the intergroup comparisons (all P>0.05). The study subjects were stratified according to gender, age, body mass index, and years of education affecting the cognitive function of AD patients, and the peripheral blood CD4 +T cells, CD8 +T cells, CD4 +/CD8 + ratios and Tregs levels showed no statistically significant differences among groups (all P>0.05). The results of binary Logistic regression analysis showed that the peripheral blood CD8 +T-cell level ( OR=1.131, 95% CI 1.009-1.268, P=0.035) was a risk factor for the onset of AD. Further analysis of peripheral blood CD4 +T cell subsets revealed that Th1 cell levels were lower in the aMCI group compared to the Mi-D group ( t=-2.354, P=0.036), and the Mo-D group ( t=-2.079, P=0.026). The results of the Spearman′s correlation analysis showed that peripheral blood Th1 cell level was positively correlated with AD progression ( r=0.192, P<0.05). Conclusions:AD patients show peripheral immune imbalance, peripheral blood CD8 +T-cell level is a risk factor for the onset of AD, and peripheral Th1 cell level is positively correlated with the severity of AD. Monitoring the changes in peripheral blood Th1 cell level may have a predictive value for the progression of AD.