Objective To investigate disparities in health levels among populations across different regions of China and analyze the relationship between these disparities and regional, social, and economic factors, and to provide recommendations to promote health equity. Methods Based on the data from the Seventh National Population Census, this study employed spatial autocorrelation analysis and the spatial Durbin model to conduct spatial and temporal analyses of the health status of the national population from 2012 to 2021, focusing on the regional distribution of health levels and related influencing factors. Results 1. Regional disparities: The mortality rate in Gansu Province rose from 6.05‰ in 2012 to 8.26‰ in 2021, whereas the mortality rate in eastern provinces such as Hainan Province was relatively low in 2021 (5.39‰). 2. Spatial clustering: The spatial correlation of mortality rates was weak (Moran's I: 0.134-0.245), and the high mortality clusters showed a shift from southwest to northeast region. 3. Influencing factors: Economic conditions, education quality, urbanization levels, and healthcare resources significantly impacted population mortality rates. Conclusion The present study identifies pronounced regional disparities in population health, providing a scientific basis for formulating targeted healthcare policies. Additionally, this study highlights the critical importance of spatial analysis in understanding and addressing public health issues to advance health equity.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Benzylisoquinoline alkaloids (BIAs) are a structurally diverse group of plant metabolites renowned for their pharmacological properties. However, sustainable sources for these compounds remain limited. Consequently, researchers are focusing on elucidating BIA biosynthetic pathways and genes to explore alternative sources using synthetic biology approaches. CYP80B, a family of cytochrome P450 (CYP450) enzymes, plays a crucial role in BIA biosynthesis. Previously reported CYP80Bs are known to catalyze the 3'-hydroxylation of (S)-N-methylcoclaurine, with the N-methyl group essential for catalytic activity. In this study, we successfully cloned a full-length CYP80B gene (StCYP80B) from Stephania tetrandra (S. tetrandra) and identified its function using a yeast heterologous expression system. Both in vivo yeast feeding and in vitro enzyme analysis demonstrated that StCYP80B could catalyze N-methylcoclaurine and coclaurine into their respective 3'-hydroxylated products. Notably, StCYP80B exhibited an expanded substrate selectivity compared to previously reported wild-type CYP80Bs, as it did not require an N-methyl group for hydroxylase activity. Furthermore, StCYP80B displayed a clear preference for the (S)-configuration. Co-expression of StCYP80B with the CYP450 reductases (CPRs, StCPR1, and StCPR2), also cloned from S. tetrandra, significantly enhanced the catalytic activity towards (S)-coclaurine. Site-directed mutagenesis of StCYP80B revealed that the residue H205 is crucial for coclaurine catalysis. Additionally, StCYP80B exhibited tissue-specific expression in plants. This study provides new genetic resources for the biosynthesis of BIAs and further elucidates their synthetic pathway in natural plant systems.
Cytochrome P-450 Enzyme System/chemistry* ; Benzylisoquinolines/chemistry* ; Hydroxylation ; Plant Proteins/chemistry* ; Alkaloids/metabolism* ; Stephania tetrandra/genetics*

Objective:To investigate the spatial distribution patterns of local tumor progression（LTP）after microwave ablation（MWA）for colorectal liver metastases（CRLMs）and identify high-risk progression zones.Methods:A total of 471 CRLM lesions from 246 patients treated with MWA at the Chinese PLA General Hospital between September 2009 and March 2022 were retrospectively analyzed. Three-dimensional visualized MRI image fusion technology was employed to evaluate the spatial relationship between ablation margins（AM）and LTP. The liver was partitioned into nine specific anatomical regions. Machine learning（Boruta algorithm）was used to assess the importance of these regions on LTP risk. Multivariate analysis of LTP was performed at the tumor level and at the patient level using the Cox mixed effects model and the Cox regression model，respectively.Results:LTP occurred in 115 lesions，with an LTP rate of 40.0%（80/200）in ablated lesions which were located in the high-risk progression area，and 12.9%（35/271）in low-risk progression area. Multivariate analysis identified AM < 5 mm，tumor size ≥3 cm and location in high-risk zones as independent risk factors for LTP. Notably，LTP in high-risk zones predominantly clustered around the ablation needle tip.Conclusions:Post-MWA LTP in CRLMs exhibits distinct spatial clustering，particularly at the needle tip within high-risk progression zones. These findings provide critical insights for optimizing ablation strategies and improving clinical outcomes.

Cognitive impairment is the main clinical manifestation of many nervous system diseases such as stroke,multiple sclerosis,and neurodegeneration,and neuroinflammation is one of the key mechanisms for the onset of cognitive disorders.Chemokines are a class of highly conserved small-molecule secretory proteins that bind to the corresponding chemokine receptors located on cell mem-brane,activating downstream signaling pathways and playing an important role in cell migration,proliferation,differentiation,and sur-vival.In the central nervous system,chemokines and their receptors are involved in immune response and can exert a certain regulatory effect on neuroinflammation.This article reviews the research advances in chemokines and their receptors in cognitive disorders,in or-der to provide new insights and targets for the early diagnosis and treatment of related diseases.

Objective To make an investigation on the current situation of the general surgical nurse's knowledge-attitude-practice for mechanical prevention of venous thromboembolism(VTE),and to analyze its influencing factors,so as to provide scientific basis for improving the mechanical prevention care work of VTE.Methods Using convenience sampling method,from April 2023 to May 2023 a total of 508 general surgery nurses from 28 provinces,municipalities and autonomous regions were selected as the study subjects.A VTE mechanical prevention knowledge-attitude-practice questionnaire designed based on expert consensus was used to conduct the questionnaire survey.Linear regression analysis was used to determine the related factors affecting the knowledge-attitude-practice level of mechanical prevention care work of VTE in general surgery nurses.Results Multiple linear regression analysis showed that the sub-specialty of vascular surgery(P＜0.001)and the frequency of VTE mechanical prevention theory training in hospital(P=0.023)were the factors influencing VTE mechanical prevention knowledge dimension score of general surgery nurses;the sub-specialty of vascular surgery(P=0.033)was the factor influencing attitude dimension score;the sub-specialty of vascular surgery(P＜0.001)and the frequency of VTE mechanical prevention theory training in hospital(P=0.043)were the factors influencing practice dimension score.Conclusion General surgery nurses have a high level of attitude and practice in mechanical prevention of VTE for hospitalized patients,but their knowledge reserve is relatively insufficient.Therefore,the study of VTE-related knowledge and vascular surgery specialty should be strengthened,meanwhile,the frequency of VTE mechanical prevention training at the hospital and department level should be increased.

Objective:To analyze the accuracy of nine estimation methods for umbilical venous catheterization (UVC) insertion depth in neonates.Methods:This prospective study enrolled neonates who underwent successful UVC placement in the Department of Neonatology at Gansu Provincial Women and Child Healthcare Hospital between September 2023 and October 2024. The standard catheter tip position was defined as the junction of the inferior vena cava and right atrium, with a deviation of ≤0.5 cm considered accurate. Patients were stratified by birth weight (BW) into three groups: <1 500 g, 1 500- 2 499 g, and ≥2 500 g. The actual UVC depth was compared with depths estimated using nine methods: Shukla formula, modified Shukla formula, JSS formula, BW formula, Tambasco formula, modified Tambasco formula, Dunn's nomogram, body surface measurement, and ultrasonographic measurement. Accuracy was evaluated using nonparametric tests and Bland-Altman agreement analysis.Results:The study included 111 neonates: 41 (36.9%) in the <1 500 g group, 55 (49.6%) in the 1 500-2 499 g group, and 15 (13.5%) in the ≥2 500 g group. In the <1 500 g group, accuracy rates ranged from 24% to 56%, with body surface measurement showing the highest accuracy (56%); the mean difference from actual depth was－0.073 cm, with 95% limits of agreement (LOA) of－1.764 to 1.618 cm. In the 1 500-2 499 g group, accuracy rate ranged from 15% to 51%, with the modified Tambasco formula being most accurate (51%); the mean difference was 0.113 cm (95%LOA:－1.558-1.783 cm). In the ≥2 500 g group, accuracy rate ranged from 0/15 to 10/15, with Dunn's nomogram being most accurate (10/15); the mean difference was－0.120 cm (95%LOA:－1.380-1.140 cm).Conclusions:The accuracy of the nine UVC depth estimation methods varied across different BW groups and among methods within the same group. Selection of an estimation method should be tailored to the neonate's birth weight.

Objective To establish a biotin-avidin system time-resolved fluorescence immunoassay(BAS-TRFIA)for detecting serum soluble fms-like tyrosine kinase-1(sFlt-1)and evaluate its performance.Methods A BAS-TRFIA was established to quantitatively determine the concentration of sFlt-1 in the serum of pregnant women,which based on the microplate was coated with streptavidin.The monoclonal antibody to capture sFlt-1 was labeled by biotin,and the detection of sFlt-1 monoclonal antibody was labeled by europium.The performance indicators such as lower limit of detection,biological limit of detection,functional sensitivity,precision,linearity,interference test,cross-reaction test,and high dose hook effect of the method were evaluated.A total of 106 remaining serum samples from pregnant women with no hemolysis,jaundice and lipemia at more than 9 weeks were detected by BAS-TRFIA and electrochemiluminescence for methodological comparison study,and the correlation of the comparison test results was analyzed by linear regression.Results The optimal reaction time of the sample was 90 min.The lower limit of detection was 1.00pg/ml.The biological limit of detection was 10.00pg/ml,and the functional sensitivity was 10.00pg/ml.The intra-assay CV and inter-assay CV were both within 5%,and the linear range was 20.00 to 40 000.00pg/ml.The relative bias of the detection results of the 17 interfering samples with interfering substances added to the low-concentration and high-concentration quality controls and the basic samples was within-4.94%～4.24%.The high dose hook effect was not found in sFlt-1 samples up to 150 000pg/ml.When the concentration of sFlt-1 in the sample was 105.40～40 972.00pg/ml,the linear regression equation of BAS-TRFIA and electrochemiluminescence(ECL)detection results was Y=1.086 7X+17.946(r=0.994 4,t=96.26,P＜0.05).Conclusion The quantitative detection of sFlt-1 by BAS-TRFIA has high sensitivity,good precision,wide linear range,strong anti-interference ability,and good correlation with the detection results of reference methods,which is valuable for clinical application.

Objective To develop a reagent for detecting of 17α-hydroxyprogesterone(17α-OHP)in dried blood spots on filter paper fixed on vascular stent by Auto TRFIA-4 automatic fluorescence immunoanalyzer and evaluate its performance.Methods The microwell plate was coated with the sheep anti-rabbit IgG antibody as microwell reaction plate,the rabbit anti-human 17α-OHP antibody was diluted as intermediate antibody,and the 17α-OHP-bovine serum albumin conjugate was labeled by europium as europium marker.The concentration of 17α-OHP in dried blood spots on filter paper fixed on blood spots stent was quantitatively detected by Auto TRFIA-4 automatic fluorescence immunoanalyzer.The analysis sensitivity,accuracy,linearity,precision,specificity and stability were evaluated,and whether they met the requirements of the formulated industry standards were evaluated.A total of 227 neonatal heel blood filter paper samples from newborns who were born 72 hours after birth and within 7 days and fully breastfeeding were selected for reagent comparison test.The consistency was analyzed by χ2 test,Kappa test,t test,linear correlation analysis,regression analysis,Bland-Altman method analysis and predictive bias analysis of medical decision level,P<0.05 indicated statistically significant difference.Results The optimal coating concentration of sheep anti-rabbit IgG antibody was 3 μg/ml.The optimal dilution ratio of rabbit anti-human 17α-OHP antibody was 1∶1 500.The optimal dilution ratio of 17α-OHP europium marker mother liquor was 1∶2 500.The limit of blank,limit of detection,limit of quantification was 0.75,1.08 and 1.99 nmol/L,respectively.The relative deviations of the standard check test were within±15.00%,and the average recovery rate was 92.36%.The linear correlation coefficient was 0.997 1 in the range of 2.00 to 300.00nmo/L.The intra-assay and inter-assay coefficients of variation were all within 10.00%.The cross-reactivity rates of 100.00 ng/ml progesterone,17α-hydroxypreg nenolone and 11-deoxycortisol were within 0.089%to 0.64%.The performance of stability test met the requirements.The total coincidence rate was 100%compared with the results of contrast reagent.The quantitative results were highly correlated with the contrast reagent(r=0.999 4,tr=452.02,P<0.05).Conclusion The self-developed reagent has the advantages of high sensitivity,good accuracy,wide linear range,good precision,high specificity and good stability,which meets the requirements of the formulated industry standards,and has high correlation and consistency with the result of contrast reagent,which meets the needs of clinical detection.

Objective To establish a biotin-avidin system time-resolved fluorescence immunoassay(BAS-TRFIA)for detecting serum soluble fms-like tyrosine kinase-1(sFlt-1)and evaluate its performance.Methods A BAS-TRFIA was established to quantitatively determine the concentration of sFlt-1 in the serum of pregnant women,which based on the microplate was coated with streptavidin.The monoclonal antibody to capture sFlt-1 was labeled by biotin,and the detection of sFlt-1 monoclonal antibody was labeled by europium.The performance indicators such as lower limit of detection,biological limit of detection,functional sensitivity,precision,linearity,interference test,cross-reaction test,and high dose hook effect of the method were evaluated.A total of 106 remaining serum samples from pregnant women with no hemolysis,jaundice and lipemia at more than 9 weeks were detected by BAS-TRFIA and electrochemiluminescence for methodological comparison study,and the correlation of the comparison test results was analyzed by linear regression.Results The optimal reaction time of the sample was 90 min.The lower limit of detection was 1.00pg/ml.The biological limit of detection was 10.00pg/ml,and the functional sensitivity was 10.00pg/ml.The intra-assay CV and inter-assay CV were both within 5%,and the linear range was 20.00 to 40 000.00pg/ml.The relative bias of the detection results of the 17 interfering samples with interfering substances added to the low-concentration and high-concentration quality controls and the basic samples was within-4.94%～4.24%.The high dose hook effect was not found in sFlt-1 samples up to 150 000pg/ml.When the concentration of sFlt-1 in the sample was 105.40～40 972.00pg/ml,the linear regression equation of BAS-TRFIA and electrochemiluminescence(ECL)detection results was Y=1.086 7X+17.946(r=0.994 4,t=96.26,P＜0.05).Conclusion The quantitative detection of sFlt-1 by BAS-TRFIA has high sensitivity,good precision,wide linear range,strong anti-interference ability,and good correlation with the detection results of reference methods,which is valuable for clinical application.