Atractylodes lancea is a perennial herbaceous plant of Asteraceae, with rhizomes for medical use. However, A. lancea plants from different habitats have great variability, and the germplasm resources of A. lancea are unclear and mixed during production. Therefore, it is urgent to protect new varieties of A. lancea. The distinctness, uniformity, and stability(DUS) testing of new plant varieties is the foundation of plant variety protection, and the DUS testing guidelines are the technical basis for variety approval agencies to conduct DUS testing. In this study, the phenotypic traits of 94 germplasm accessions of A. lancea were investigated considering the breeding and variety characteristics of A. lancea in China. The traits were classified and described, and 24 traits were preliminarily determined, including 20 basic traits that must be tested and four traits selected to be tested. The 20 basic traits included 3 quality traits, 5 false quality traits, and 12 quantitative traits, corresponding to 1 plant traits, 2 stem traits, 8 leaf traits, 6 flower traits, and 3 seed traits. The measurement ranges and coefficients of variation of eight quantitative traits were determined, on the basis of which the grading criteria and codes of the traits were determined and assigned. The guidelines has guiding significance for the trait evaluation, utilization, and breeding of new varieties of A. lancea.
Atractylodes/growth & development* ; China ; Phenotype ; Guidelines as Topic ; Plant Breeding

Background: Epimedii Folium is well known for its medicinal value. Four Epimedium species—Euphorbia brevicornu, E. sagittatum, E. pubescens, and E. koreanum—are the designated original plants of Epimedii Folium. Objective: The objective of this study is to facilitate the identification of the four Epimedium species and clarify their distributional responses to climate change. Methods: In this study, we assessed the genetic divergence of the four species and identified the molecular markers for species identification by using chloroplast genome sequences. Furthermore, we forecasted the distribution of potentially suitable regions of the four species Folium under climate change. Results: The authors obtained 26 chloroplast genome sequences of the four species and identified 1393 variable sites and 273 indel events. Genetic divergence analyses revealed that E. koreanum had long genetic distance from the other three species. Compared with the complete chloroplast genome, six hypervariable markers were discovered, and both rps4-trnL and ndhF were chosen as Epimedii Folium-specific DNA barcodes. Climate change is expected to influence the geographical distribution of the four Epimedium species, which were primarily found in China, South Korea, and Japan, leading to both expansion and contraction of their distribution ranges. Conclusion: Two identification markers were selected as the specific DNA barcodes for all four original plant species of Epimedii Folium. In addition, the shift of potential suitable area in various climate scenarios has been predicted. With the support of identification markers and the dynamics of suitable distribution areas, we are able to establish a foundation for the sustainable utilization of medicinal Epimedium resources in the future.

Objective:To optimize the image quality of PET/CT following 90Y-selective internal radiation therapy ( 90Y-SIRT) using block-sequential regularized expectation maximization (BSREM) reconstruction algorithm, and to evaluate its impact of different β values on image quality and quantitative analysis. Methods:A retrospective study was conducted on 8 male patients with hepatic tumors (age: 62(52, 71) years) treated at Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine Tsinghua University, between June 2024 and January 2025. All patients were treated with 90Y resin microspheres (2.6(0.9, 3.6)GBq) and underwent post-treatment 90Y PET/CT liver imaging. Imaging data were reconstructed using BSREM with different noise penalty weighting factors ( β values: 0, 300, 1000, 1500, 2500, 3500, 4000, 6000, 8000, 10000). Visual assessment was independently performed by two nuclear medicine physicians, using a 4-point scale (1=worst, 4=best). The mean score was considered as the final score. The consistency of the 2 reviewers was calculated and analyzed by Kappa test. Visual scores of different β value groups were compared by Friedman test. The β value demonstrating highest mean score and optimal consistency was selected as the optimal. Quantitative analysis was performed using MIM software to calculate the maximum absorbed dose ( Dmax) and the mean absorbed dose ( Dmean) for tumor, normal liver, and whole liver regions, and the CV was used to evaluate the impact of β values. Results:The visual assessment consistency of reviewers in 3 β value groups (0, 3500, 6000) were the highest (7/8) (all kappa=0.88, all P<0.05). Visual scores of the 10 β value groups were significantly different ( χ2=28.74, P<0.001), and the visual scores of 2 β value groups (3500, 4000) were the highest, both of which were 4.0(4.0, 4.0). Overall, visual assessment identified β=3500 as the optimal. Quantitative analysis revealed that, (1) Dmax in all regions (tumor, normal liver, whole liver) decreased with the increasing β values, stabilizing when β>1000 ( CV 56%-67%); (2) Dmean remained stable across different β values ( CV 0.04%-5.00%). Conclusions:In BSREM reconstruction, β=3500 is the optimal parameter for improving 90Y-PET image quality. β values significantly affect Dmax (stabilizing at β > 1000), but have no significant impact on Dmean, suggesting that reconstruction parameters primarily influence dose distribution morphology rather than average dose assessments.

Objective:To optimize the image quality of PET/CT following 90Y-selective internal radiation therapy ( 90Y-SIRT) using block-sequential regularized expectation maximization (BSREM) reconstruction algorithm, and to evaluate its impact of different β values on image quality and quantitative analysis. Methods:A retrospective study was conducted on 8 male patients with hepatic tumors (age: 62(52, 71) years) treated at Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine Tsinghua University, between June 2024 and January 2025. All patients were treated with 90Y resin microspheres (2.6(0.9, 3.6)GBq) and underwent post-treatment 90Y PET/CT liver imaging. Imaging data were reconstructed using BSREM with different noise penalty weighting factors ( β values: 0, 300, 1000, 1500, 2500, 3500, 4000, 6000, 8000, 10000). Visual assessment was independently performed by two nuclear medicine physicians, using a 4-point scale (1=worst, 4=best). The mean score was considered as the final score. The consistency of the 2 reviewers was calculated and analyzed by Kappa test. Visual scores of different β value groups were compared by Friedman test. The β value demonstrating highest mean score and optimal consistency was selected as the optimal. Quantitative analysis was performed using MIM software to calculate the maximum absorbed dose ( Dmax) and the mean absorbed dose ( Dmean) for tumor, normal liver, and whole liver regions, and the CV was used to evaluate the impact of β values. Results:The visual assessment consistency of reviewers in 3 β value groups (0, 3500, 6000) were the highest (7/8) (all kappa=0.88, all P<0.05). Visual scores of the 10 β value groups were significantly different ( χ2=28.74, P<0.001), and the visual scores of 2 β value groups (3500, 4000) were the highest, both of which were 4.0(4.0, 4.0). Overall, visual assessment identified β=3500 as the optimal. Quantitative analysis revealed that, (1) Dmax in all regions (tumor, normal liver, whole liver) decreased with the increasing β values, stabilizing when β>1000 ( CV 56%-67%); (2) Dmean remained stable across different β values ( CV 0.04%-5.00%). Conclusions:In BSREM reconstruction, β=3500 is the optimal parameter for improving 90Y-PET image quality. β values significantly affect Dmax (stabilizing at β > 1000), but have no significant impact on Dmean, suggesting that reconstruction parameters primarily influence dose distribution morphology rather than average dose assessments.

ObjectiveTo identify the possible health impact of the 14th five⁃year plan for the development of employment and social security in Deqing County and propose improvement measures through health impact assessment. MethodsBased on the data of Deqing County， stakeholder interviews and Delphi Consultation Method， this study described the current status of employment and social security and analyzed the potential health impacts of implementing the 14th five⁃year plan for the development of employment and social security in Deqing County. ResultsThrough a quick assessment process， the results showed that the implementation of the plan would bring mixed health impacts. Positive impacts included enhanced social security capacity， improved health levels of low-income populations and families， increased convenience of medical treatment， and improved efficiency of health services. Negative impacts included reduced accessibility of digital services for the elderly， increased gap in benefits for retirees， increased risk of discrimination against disabled individuals， increased risks of layoffs and unemployment for vulnerable groups， and increased employment instability for middle-aged and elderly populations. ConclusionThe 14th five⁃year plan for the development of employment and social security in Deqing County will bring a series of positive health impacts， but negative health impacts also warrant attention.

Pyran- and furanocoumarins are key representatives of tetrahydropyrans and tetrahydrofurans, respectively, exhibiting diverse physiological and medical bioactivities. However, the biosynthetic mechanisms for their core structures remain poorly understood. Here we combined multiomics analyses of biosynthetic enzymes in Peucedanum praeruptorum and in vitro functional verification and identified two types of key enzymes critical for pyran and furan ring biosynthesis in plants. These included three distinct P. praeruptorum prenyltransferases (PpPT1-3) responsible for the prenylation of the simple coumarin skeleton 7 into linear or angular precursors, and two novel CYP450 cyclases (PpDC and PpOC) crucial for the cyclization of the linear/angular precursors into either tetrahydropyran or tetrahydrofuran scaffolds. Biochemical analyses of cyclases indicated that acid/base-assisted epoxide ring opening contributed to the enzyme-catalyzed tetrahydropyran and tetrahydrofuran ring refactoring. The possible acid/base-assisted catalytic mechanisms of the identified cyclases were theoretically investigated and assessed using site-specific mutagenesis. We identified two possible acidic amino acids Glu303 in PpDC and Asp301 in PpOC as vital in the catalytic process. This study provides new enzymatic tools in the epoxide formation/epoxide-opening mediated cascade reaction and exemplifies how plants become chemically diverse in terms of enzyme function and catalytic process.

OBJECTIVE To explore the potential mechanism of the effect of Xuebijing injection （XBJ） on neurological function and survival of rats after cardiac arrest （CA）/cardiopulmonary resuscitation （CPR） based on the S-nitrosoglutathione reductase （GSNOR）/S-nitrosoglutathione （GSNO） pathway. METHODS The CA/CPR rat model was established by ventricular fibrillation. Using a sham operation group as control， high-throughput sequencing was employed to analyze and mine the differentially expressed genes （DEGs）. Enzyme-linked immunosorbent assay was used to determine the contents of GSNOR and GSNO in the hippocampus； the active components of XBJ were screened and subjected to molecular docking analysis with GSNOR. The rats successfully modeled using the same method were divided into model group （n＝30）， inhibitor （GSNOR inhibitor） group （n＝30）， XBJ group （n＝30） and XBJ+inhibitor group （n＝30）， and a sham operation group （n＝30） was set up. Neurological function was evaluated and survival status was recorded at 3 hours， 24 hours and 3 days after the first 89） drug intervention. The contents of GSNOR and GSNO in the hippocampus of rats were determined in each group at the 0191） above time points， and the relationship of the contents of GSNOR and GSNO with modified neurologic severity scale （mNSS） score was analyzed. RESULTS GSNOR coding gene was differentially expressed between the model group and the sham operation group. Compared with the sham operation group， GSNOR content increased significantly in the hippocampus of rats in model group， while GSNO content decreased significantly （P＜0.05）. The active components of XBJ， such as 4- methylenemiltirone and salviolone， could be bound to GSNOR protein， with the binding energy lower than －6 kcal/mol， mainly connected by hydrogen bonds. Animal experiments revealed that mNSS score and GSNOR levels in the hippocampus of rats in the model group were significantly higher than those in the sham operation group （P＜0.05）， while GSNO levels and survival rate were significantly lower than those in the sham operation group （P＜0.05）. The above indexes of rats were improved significantly in administration groups， the mNSS score in the XBJ group was significantly lower than that in the inhibitor group， the content changes of GSNOR and GSNO in the inhibitor group were more obvious than those in the XBJ group， and the various indicators in the XBJ+inhibitor group were significantly better than the XBJ group and the inhibitor group （P＜0.05）. GSNOR content was positively correlated with the mNSS score， and GSNO content was negatively correlated with the mNSS score （P＜0.05）. CONCLUSIONS XBJ can improve the neurological function of rats and enhance their survival rates after CA/CPR， the mechanism of which may be associated with the down-regulation of GSNOR and the up-regulation of GSNO.

OBJECTIVE To investigate the mechanism of Yifei xuanfei jiangzhuo formula （YFXF） against vascular dementia （VD）. METHODS The differentially expressed genes of YFXF （YDEGs） were obtained by network pharmacology. High-risk genes were screened from YDEGs by using the nomogram model. The optimal machine learning models in generalized linear， support vector machine， extreme gradient boosting and random forest models were screened based on high-risk genes. VD model rats were established by bilateral common carotid artery occlusion， and were randomly divided into model group and YFXF group （12.18 g/kg， by the total amount of crude drugs）， and sham operation group was established additionally， with 6 rats in each group. The effects of YFXF on behavior （using escape latency and times of crossing platform as indexes）， histopathologic changes of cerebral cortex， and the expression of proteins related to the secreted phosphoprotein 1 （SPP1）/phosphoinositide 3-kinase （PI3K）/protein kinase B （aka Akt） signaling pathway and the mRNA expression of SPP1 in cerebral cortex of VD rats were evaluated. RESULTS A total of 6 YDEGs were obtained， among which SPP1， CCL2， HMOX1 and HSPB1 may be high-risk genes of VD. The generalized linear model based on high-risk genes had the highest prediction accuracy （area under the curve of 0.954）. Compared with the model group， YFXF could significantly shorten the escape latency of VD rats， significantly increase the times of crossing platform （P＜0.05）； improve the pathological damage of cerebral cortex， such as neuronal shrinkage and neuronal necrosis； significantly reduce the expressions of SPP1 protein and mRNA （P＜0.05）， while significantly increase the phosphorylation levels of PI3K and Akt （P＜0.05）. CONCLUSIONS VD high-risk genes SPP1， CCL2， HMOX1 and HSPB1 may be the important targets of YFXF. YFXF may play an anti-VD role by down-regulating the protein and mRNA expressions of SPP1 and activating PI3K/Akt signaling pathway.

ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.

Objective:To understand the pathogenic situation of hand, foot and mouth disease (HFMD) in Linyi City, and to analyze the gene characteristics of Coxsackievirus A10 complete VP1 region.Methods:The samples of HFMD cases from Linyi City in 2023 were tested for typing and strain isolation, and the VP1 gene of CV-A10 isolate was amplified and sequenced. The obtained sequences were compared with those in the NCBI database, and the phylogenetic tree was constructed for gene characteristics and molecular epidemiological analysis.Results:In 2023, a total of 861 samples of HFMD were collected, and 594 (68.99%) were positive for nucleic acid tests. The male to female ratio of positive cases was 1.56∶1. Children under 5 years old accounted for 81.65%, and the highest incidence season was from June to August (83.84%). CV-A6 was the main pathogen (84.51%), followed by CV-A10 (9.93%). The nucleotide and amino acid homology of VP1 gene sequence among 13 isolates were 93.29%-100.00% and 97.65%-100.00%, respectively. The nucleotide and amino acid homology with AF081300-Kowalik/USA/1950 was lower (75.95%-76.62%, 91.72%-92.41%). The amino acid and nucleotide homology with C2c was the highest (94.28%-96.76%, 98.28%-100.00%), and the genetic distance was the closest (0.04-0.06). Amino acid site variation analysis showed that compared with the prototype strain AF081300-Kowalik/USA/1950, the isolates had more site variation, while only some isolates had I80V, E141K, P147S, T219I, E240K and V261I mutations compared with the representative strain C2c. The genetic evolution tree showed that the isolates were all in the same clade as the C2c representative strains, and they all belonged to the C2c genotype, and the isolates were further divided into two smaller clades.Conclusions:In 2023, CV-A6 was the main pathogen of HFMD in Linyi City, followed by CV-A10. All CV-A10 isolates were C2c genotypes and can be divided into two evolutionary clades. Continuous monitoring and genetic characterization of CV-A10 should be strengthened.