ObjectiveTo explore the differences in the accumulation of secondary metabolites of Dendrobium nobile cultivated on epiphytic stones and trees， so as to elucidate the scientific connotation of "only those that grow on stones has superior quality"， and provide a direction for the cultivation and quality evaluation of D. nobile. MethodsUltra-performance liquid chromatography-triple quadrupole/linear ion trap mass spectrometry（UPLC-QTRAP-MS/MS）-based widely targeted metabolomics was used to detect the metabolites of D. nobile cultivated on epiphytic stones and trees. And the combination of principal component analysis（PCA）， hierarchical cluster analysis（HCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） was performed for multivariate statistical analysis of metabolites. Differential metabolites were screened by variable importance in the projection（VIP） value≥1 and log₂fold change（FC）≥1 or ≤-1， and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analysis was conducted. ResultsA total of 1 267 metabolites were identified in the stems of D. nobile from the two cultivation modes， dominated by flavonoids（292）， phenolic acids（284）， and alkaloids（189）. Through OPLS-DA screening， 473 differential metabolites were obtained. Compared to epiphytic tree-cultivated D. nobile， epiphytic stone-cultivated D. nobile exhibited upregulation of flavonoids， phenolic acids， alkaloids， lignans and coumarins， while quinones and terpenoids were down-regulated. The differential metabolites mainly included flavonoid glycosides and alkaloids， and these differential metabolites significantly contributed to characterizing the two cultivation patterns. KEGG enrichment analysis revealed significant enrichment in pathways of flavone and flavonol biosynthesis， flavonoid biosynthesis， tyrosine metabolism， and phenylalanine metabolism in epiphytic stone-cultivated D. nobile. ConclusionEpiphytic stone cultivation is beneficial for the accumulation of phenolic acids， flavonoids， and alkaloids in D. nobile， indicating that the "only those that grow on stones has superior quality" documented in the materia medica has certain scientific basis， and the findings also provide a reference for quality evaluation and discrimination research between epiphytic stone and tree cultivated D. nobile.

ObjectiveTo investigate the processing technology of calcined Haematitum based on the concept of quality by design（QbD） and to assess its health risk. MethodsTaking whole iron content， Fe²⁺ dissolution content and looseness as critical quality attributes（CQAs）， and calcination temperature， calcination time， spreading thickness and particle size as critical process parameters（CPPs） determined by the failure mode and effect analysis（FMEA）， the processing technology of calcined Haematitum was optimized by orthogonal test combined with analytic hierarchy process-criteria importance through intercriteria correlation（AHP-CRITIC） hybrid weighting method. The contents of heavy metals and harmful elements were determined by inductively coupled plasma mass spectrometry， and the health risk assessment was carried out by daily exposure（EXP）， target hazard quotient（THQ） and lifetime cancer risk（LCR）， and the theoretical value of the maximum limit was deduced. ResultsThe optimal processing technology for calcined Haematitum was calcination at 650 ℃， calcination time of 1 h， particle size of 0.2-0.5 cm， spreading thickness of 1 cm， and vinegar quenching for 1 time［Haematitum-vinegar（10：3）］. The contents of 5 heavy metals and harmful elements in 13 batches of calcined Haematitum were all decreased with reductions of up to 5-fold. The cumulative THQ of 2 batches of samples was>1， while the cumulative THQ of all batches of Haematitum was>1. The LCR of As in 1 batches of Haematitum was 1×10^-6-1×10^-4， and the LCR of the rest was<1×10^-6， and the LCRs of calcined Haematitum were all<1×10^-6， indicating that the carcinogenic risk of calcined Haematitum was low， but special attention should still be paid to Haematitum medicinal materials. Preliminary theoretical values of the maximum limits of Cu， As， Cd， Pb and Hg were formulated as 1 014， 25， 17， 27， 7 mg·kg^-1. ConclusionThe optimized processing technology of calcined Haematitum is stable and feasible， and the contents of heavy metals and harmful elements are reduced after processing. Preliminary theoretical values of the maximum limits of Cu， As， Cd， Pb and Hg are formulated to provide a scientific basis for the formulation of standards for the limits of harmful elements in Haematitum.

ObjectiveTo investigate the processing technology of calcined Haematitum based on the concept of quality by design（QbD） and to assess its health risk. MethodsTaking whole iron content， Fe²⁺ dissolution content and looseness as critical quality attributes（CQAs）， and calcination temperature， calcination time， spreading thickness and particle size as critical process parameters（CPPs） determined by the failure mode and effect analysis（FMEA）， the processing technology of calcined Haematitum was optimized by orthogonal test combined with analytic hierarchy process-criteria importance through intercriteria correlation（AHP-CRITIC） hybrid weighting method. The contents of heavy metals and harmful elements were determined by inductively coupled plasma mass spectrometry， and the health risk assessment was carried out by daily exposure（EXP）， target hazard quotient（THQ） and lifetime cancer risk（LCR）， and the theoretical value of the maximum limit was deduced. ResultsThe optimal processing technology for calcined Haematitum was calcination at 650 ℃， calcination time of 1 h， particle size of 0.2-0.5 cm， spreading thickness of 1 cm， and vinegar quenching for 1 time［Haematitum-vinegar（10：3）］. The contents of 5 heavy metals and harmful elements in 13 batches of calcined Haematitum were all decreased with reductions of up to 5-fold. The cumulative THQ of 2 batches of samples was>1， while the cumulative THQ of all batches of Haematitum was>1. The LCR of As in 1 batches of Haematitum was 1×10^-6-1×10^-4， and the LCR of the rest was<1×10^-6， and the LCRs of calcined Haematitum were all<1×10^-6， indicating that the carcinogenic risk of calcined Haematitum was low， but special attention should still be paid to Haematitum medicinal materials. Preliminary theoretical values of the maximum limits of Cu， As， Cd， Pb and Hg were formulated as 1 014， 25， 17， 27， 7 mg·kg^-1. ConclusionThe optimized processing technology of calcined Haematitum is stable and feasible， and the contents of heavy metals and harmful elements are reduced after processing. Preliminary theoretical values of the maximum limits of Cu， As， Cd， Pb and Hg are formulated to provide a scientific basis for the formulation of standards for the limits of harmful elements in Haematitum.

OBJECTIVES: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy, with disease progression driven by cytogenetic abnormalities and a complex bone marrow microenvironment. This study aims to construct a prognostic model for MM based on transcriptomic data and lipid metabolism related genes (LRGs), and to identify potential drug targets for high-risk patients to support clinical decision-making. METHODS: In this study, 2 transcriptomic datasets covering 985 newly diagnosed MM patients were retrieved from the Gene Expression Omnibus (GEO) database. Univariate Cox regression and 101 machine learning algorithms were used for gene selection. An LRG-based prognostic model was constructed using Stepwise Cox (both directions) and random survival forest (RSF) algorithms. The association between the prognostic score and clinical events was evaluated, and model performance was assessed using time-dependent receiver operating characteristic (ROC) curves and the C-index. The added predictive value of combining prognostic scores with clinical variables and staging systems was also analyzed. Differentially expressed genes between high- and low-risk groups were identified using limma and clusterProfiler and subjected to pathway enrichment analysis. Drug sensitivity analysis was conducted using the Genomics of Drug Sensitivity in Cancer (GDSC) database and oncoPredict to identify potential therapeutic targets for high-risk patients. The functional role of key LRGs in the model was validated via in vitro cell experiments. RESULTS: An LRG-based prognostic model (LRG17) was successfully developed using transcriptomic data and machine learning. The model demonstrated robust predictive performance, with area under the curve (AUC) values of 0.962, 0.912, and 0.842 for 3-, 5-, and 7-year survival, respectively. Patients were stratified into high- and low-risk groups, with high-risk patients showing significantly shorter overall survival (OS) and event-free survival (EFS) (both P<0.001) and worse clinical profiles (e.g., lower albumin, higher β2-microglobulin and lactate dehydrogenase levels). Enrichment analysis revealed that high-risk patients were significantly enriched for pathways related to chromosome segregation and mitosis, whereas low-risk patients were enriched for immune response and immune cell activation pathways. Drug screening suggested that AURKA inhibitor BMS-754807 and FGFR3 inhibitor I-BET-762 may be more effective in high-risk patients. Functional assays demonstrated that silencing of key LRG PLA2G4A significantly inhibited cell viability and induced apoptosis. CONCLUSIONS LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.
Humans ; Multiple Myeloma/mortality* ; Prognosis ; Lipid Metabolism/genetics* ; Transcriptome ; Machine Learning ; Male ; Female ; Gene Expression Profiling ; Algorithms

Objective To evaluate the degree of brain atrophy in spinocerebellar ataxia type 3(SCA3)patients based on artificial intelligence(AI)technology,and to explore the correlation between the degree of brain atrophy and the severity of the disease.Methods The clinical and imaging data of 23 SCA3 patients(SCA3 group)and 24 healthy controls(HC)(HC group)were collected.The International Cooperative Ataxia Rating Scale(ICARS)was used to evaluate the severity of ataxia in patients with SCA3.AI technology was used to process the 3D-T1 WI MR image data of the SCA3 and HC groups to segment and measure the volume and volume percentage of brain,followed by correlation analyses between brain structural alterations and the severity of ataxia in SCA3 patients.Results There were no significant differences in gender and age between the two groups(P＞0.05).The SCA3 group had a significant reduction in the volume and volume percentage of various brain regions,such as the frontal,temporal,parietal,occipital,limbic,right cerebral white mat-ter,subcortical gray matter,cerebellum and brainstem,compared to the HC group(multiple hypothesis testing adjusted P＜0.01).In the SCA3 group,the ICARS showed positive correlation with patient age(r=0.571,P=0.004)and negative correlation with the vol-ume of the left cerebellar white matter,vermis,medulla oblongata,and the volume percentages of bilateral cerebellar white matter,vermis,pons,medulla oblongata(P＜0.05).Conclusion The significant atrophy of the supratentorial and subtentorial regions of the brain in SCA3 patients.The globus pallidus exhibits the most substantial atrophy,suggesting its potential as an imaging diagnostic marker of SC A3.

Objective To explore the value of multi-sequence MRI radiomics for predicting clinical stage of cervical squamous cell carcinoma(CSCC).Methods Totally 190 patients with single CSCC confirmed by pathology were retrospectively collected.Among them,67 cases with International Federation of Gynecology and Obstetrics(FIGO)stage ⅠB—ⅡA were classified into early stage group,while 123 cases with FIGO ⅡB—ⅢC were enrolled in middle-late stage group.The patients were divided into training set(n=114,including 40 cases in early stage subgroup and 74 cases in middle-late stage subgroup)and test set(n=76,including 27 cases in early stage subgroup and 49 cases in middle-late stage subgroup)at the ratio of 6∶4.Single factor and logistic analyses were used to screen clinical relevant factors,and a clinical model was constructed.The best radiomics features of lesions were extracted and selected based on pre-treatment pelvic MR T2WI,diffusion-weighted imaging(DWI),dynamic contrast enhancement(DCE)-T1WI and all the three,respectively,and the radiomics models were constructed,including T2WI,DWI,DCE-TWI and combined sequences models,then a clinical-radiomics model was established based on clinical model and combined sequences model.The predictive efficacy of each model was evaluated by receiver operating characteristic curves,and the area under the curves(AUC)were calculated.The integrated discrimination improvement(IDI)index was also calculated to compare the diagnostic efficacy of each model in training set,and decision curve analysis(DCA)was used to evaluate their clinical value.Results Squamous cell carcinoma associated antigen in middle-late stage subgroup was higher than that in early stage subgroup in both training and test sets(both P＜0.05),which was used to establish the clinical model.The AUC of clinical,T2WI,DWI,DCE-TWI,combined sequences and clinical-radiomics models for predicting clinical stage of CSCC was 0.66,0.71,0.78,0.81,0.88 and 0.89 in training set,respectively,which was 0.62,0.64,0.72,0.73,0.77 and 0.76 in test set,respectively.In training set,the predictive efficacy of clinical-radiomics model was higher than that of combined sequences model(IDI=0.19,P＜0.05),both higher than that of the rest models(IDI=0.19-0.47,all P＜0.05).When the thresholds were 0.02-1.00 and 0.05-1.00,combined sequences and clinical-radiomics models had higher clinical net benefits in training set.Conclusion Multi-sequence MRI radiomics could effectively predict clinical stage of CSCC,and combining clinical data could improve its diagnostic efficacy.

Objective:To investigate alterations in the glymphatic system of spinocerebellar ataxia type 3 (SCA3) patients based on quantitative MRI, and its association with genetic information and motor dysfunction.Methods:The study was a cross-sectional study. This prospective study recruited 39 confirmed SCA3 patients (SCA3 group) and 40 matched healthy controls (HC group) who were seen at the Southwest Hospital of Army Medical University from May 2017 to June 2023. All subjects underwent cranial MRI scanning. Clinical assessments were conducted on all participants using the scale for the assessment and rating of ataxia (SARA) and the international cooperative ataxia rating scale (ICARS). The automatic segmentation and volume measurement of the choroid plexus based on Freesurfer 6.0; the perivascular interstitial space (PVS) was automatically segmented based on the deep-learning model VB-Net, and the volume of the PVS in each brain region was quantified after manual correction. Independent samples t-test and Mann-Whitney U-test were used to analyze the changes in the class lymphatic system in the SCA3 group and the HC group. Pearson partial correlation analysis was used to explore the relationship between CAG repeats, the glymphatic system, and motor dysfunction. Results:The standardized choroid plexus volume in the SCA3 group was (1.24±0.36)×10 3 mm 3, and that in the HC group was (0.96±0.34)×10 3 mm 3, with a statistically significant difference ( t=4.01, P<0.001). PVS volumes in the frontal lobe, temporal lobe, parietal lobe, basal ganglia, cerebellum, thalamus, and brainstem regions in the SCA3 group were significantly higher than those of HC group ( P<0.05). Partial correlation analysis revealed that CAG repeats in SCA3 group were positively correlated with SARA, ICARS, and basal ganglia PVS volumes ( r=0.65, 0.58, 0.29; P=0.001, 0.001, 0.042). Cerebellar and temporal lobe PVS volumes were positively correlated with SARA ( r=0.59, 0.47; P=0.001, 0.003), and positively correlated with ICARS scores ( r=0.61, 0.40; P=0.001, 0.011). Choroid plexus volume was positively correlated with cerebellar and basal ganglia PVS volumes ( r=0.41, 0.31; P=0.009, 0.043). Conclusions:The glymphatic system of SCA3 patients have significant alteration and have association with CAG repeats and motor dysfunction.

Background: Inactivated vaccines are limited in preventing foot-and-mouth disease (FMD) due to safety problems. Recombinant virus-like particles (VLPs) are an excellent candidate for a novel vaccine for preventing FMD, given that VLPs have similar immunogenicity as natural viruses and are replication- and infection-incompetent. Objectives: The 3C protease and P1 polyprotein of type O FMD virus (FDMV) was expressed in yeast Hansenula polymorpha to generate self-resembling VLPs, and the potential of recombinant VLPs as an FMD vaccine was evaluated. Methods: BALB/c mice were immunized with recombinant purified VLPs using CpG oligodeoxynucleotide and aluminum hydroxide gel as an adjuvant. Cytokines and lymphocytes from serum and spleen were analyzed by enzyme-linked immunosorbent assay, enzyme-linked immunospot assay, and flow cytometry. Results: The VLPs of FMD were purified successfully from yeast protein with a diameter of approximately 25 nm. The immunization of mice showed that animals produced high levels of FMDV antibodies and a higher level of antibodies for a longer time. In addition, higher levels of interferon-γ and CD4 + T cells were observed in mice immunized with VLPs. Conclusions The expression of VLPs of FMD in H. polymorpha provides a novel strategy for the generation of the FMDV vaccine.

Objective: To develop an assessment questionnaire for screen based behaviors among primary and secondary school students, so as to provide a basis for comprehensive assessment among the population. Methods: Nineteen experts were invited to take part in this study from August to September 2022. The initial framework and item pool of the assessment questionnaire were developed based on literature review and a series of guidelines and standards issued by the national education and health authorities, as well as relevant domestic and foreign guidelines, and were combined with existing assessment tools that were used to evaluate screen based behavior among these age groups. Experts in related fields were selected for two rounds of Delphi consultation to determine the dimensions, items and corresponding weights of the assessment questionnaire. Results: The response rates from two rounds of consultation were 95.0% and 100.0% respectively, the opinion submission rates were 89.5% and 63.2% respectively, and the authority coefficient ( Cr ) was 0.87. An assessment questionnaire was finally designed, consisting in 44 items and four dimensions, namely screen use type and time, screen use related health behaviors, safety and civilization in screen use, and reasonable arrangement of screen and non screen activities. The coefficient of variation( CV ) of each item ranged from 0.00 to 0.19, and the Kendall s W increased from 0.22 to 0.34( P <0.01). Expert opinions were in agreement and credible. Conclusion The designed assessment questionnaire can be used to comprehensively evaluate screen based behavior among primary and middle school students, and provides a basis for subsequent intervention measures to improve screen based behavior among this population.

Increasing evidences suggest the important role of calcium homeostasis in hallmarks of cancer, but its function and regulatory network in metastasis remain unclear. A comprehensive investigation of key regulators in cancer metastasis is urgently needed. Transcriptome sequencing (RNA-seq) of primary esophageal squamous cell carcinoma (ESCC) and matched metastatic tissues and a series of gain/loss-of-function experiments identified potassium channel tetramerization domain containing 4 (KCTD4) as a driver of cancer metastasis. KCTD4 expression was found upregulated in metastatic ESCC. High KCTD4 expression is associated with poor prognosis in patients with ESCC and contributes to cancer metastasis in vitro and in vivo. Mechanistically, KCTD4 binds to CLIC1 and disrupts its dimerization, thus increasing intracellular Ca²⁺ level to enhance NFATc1-dependent fibronectin transcription. KCTD4-induced fibronectin secretion activates fibroblasts in a paracrine manner, which in turn promotes cancer cell invasion via MMP24 signaling as positive feedback. Furthermore, a lead compound K279-0738 significantly suppresses cancer metastasis by targeting the KCTD4‒CLIC1 interaction, providing a potential therapeutic strategy. Taken together, our study not only uncovers KCTD4 as a regulator of calcium homeostasis, but also reveals KCTD4/CLIC1-Ca²⁺-NFATc1-fibronectin signaling as a novel mechanism of cancer metastasis. These findings validate KCTD4 as a potential prognostic biomarker and therapeutic target for ESCC.