Approximately 10% of the global adult population has diabetes, with accumulating evidence linking suboptimal vitamin D levels to an increased risk of type 2 diabetes and its complications. Current clinical studies suggest that vitamin D supplementation may enhance insulin sensitivity and improve glycemic control, prompting significant interest in its potential as a therapeutic intervention. However, further high-quality, large-scale randomized controlled trials are required to validate its efficacy in glucose metabolism regulation and clarify the underlying molecular mechanisms. These investigations will provide critical evidence to inform precision medicine approaches for diabetes prevention and management.

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

Esophageal carcinoma is a malignant disease with a high incidence rate and poor prognosis. The mitochondrial apoptosis pathway plays a pivotal role in the regulation of cell death and has become a focal point in current cancer therapeutics research. Various active components from traditional Chinese medicine （TCM） can target the mitochondrial apoptosis pathway to inhibit esophageal carcinoma， presenting as potential therapeutic agents for this disease. This paper summarizes relevant research on the inhibition of esophageal carcinoma by active components in TCM via targeting the mitochondrial apoptosis pathway. It has been found that flavonoids （casticin， icariin， luteolin， kaempferol， hesperetin， deguelin， etc.）， terpenoids （oridonin， Jaridonin， artesunate， ethyl acetate fraction of pleurotus ferulatus triterpenoid， etc.）， alkaloids （matrine， swainsonine， etc.）， polyphenols （curcumin， epigallocatechin-3-gallate， corilagin， etc.）， steroids （α-hederin， polyphyllin Ⅵ， etc.）， phenols （optimized scorpion venom peptide CT-K3K7， gecko active polypeptide， etc.）， volatile oils （cinnamaldehyde， α -asarone， etc.） and other active components from TCM can target the intrinsic mitochondrial apoptosis pathway， induce apoptosis in esophageal carcinoma cells， and inhibit their proliferation， invasion and migration by regulating oxidative stress， blocking the cell cycle， regulating signaling pathways such as PI3K/Akt and MAPK.

Objective:To explore the effects of a collaborative care model based on family-community- professional team on the oral health-related quality of life in older adults, and in order to provide reference basis for oral health management of the elderly.Methods:Using one-group pretest-posttest design study, 110 cases of older adults who participated in health checkups at the Yuyang Community Health Center in Yichang City from May 1 to June 30, 2023 were selected by convenience sampling method as study subjects. A oral health intervention program was constructed through literature review, Delphi expert consultation, and pilot trials and implemented for 6 months to compare the differences in oral health self-efficacy level, oral health-related quality of life before and after the intervention of the study subjects.Results:Finally, 108 study subjects completed the intervention including 49 males, 59 females, and 58 were 60-69 years old, 45 were 70-79 years old, and 5 were aged 80 and over; the total oral health self-efficacy score of older adults after the intervention was (59.19 ± 3.43) points, which was higher than (55.05 ± 5.10) points before the intervention, and the difference was statistically significant ( t = - 7.69, P<0.05); the total score of oral health-related quality of life after the intervention was (46.11 ± 5.14) points, which was higher than that before the intervention (41.39 ± 4.06), and the difference was statistically significant ( t = -7.02, P<0.05). Conclusions:The collaborative care model based on family-community- professional team can improve the level of oral health self-efficacy and oral health-related quality of life of the elderly, and provide a reference point for oral health management in the elderly.

This paper reviews the definition and current situation of virtual reality, the application conditions, intervention mechanisms, effectiveness evaluation indicators, application forms and effects, shortcomings and prospects of virtual reality intervention in smoking cessation, in order to provide guidance and basis for the clinical practice and nursing of virtual reality intervention in smoking cessation in China.

Virtual reality is a computer-generated immersive interactive 3D technology that enables real-time interaction between users and virtual environments. It has been applied by scholars in the treatment and nursing of patients with Down syndrome and has become one of the non-pharmacological intervention methods for Down syndrome. In view of this, this paper reviews the definition and classification of virtual reality technology, the mechanism, application status, shortcomings, and prospects of virtual reality technology applied to patients with Down syndrome, in order to provide theoretical basis and practical guidance for the clinical application and nursing of virtual reality technology in patients with Down syndrome.

Objective:To develop a risk prediction model of acute cerebral infarction (ACI) in patients with type 2 diabetes mellitus (T2DM).Methods:It was a cross-sectional study. The clinical data of 798 patients with T2DM hospitalized in the Department of Endocrinology and Neurology of Shanxi Bethune Hospital from August 2021 to October 2023 were collected. Based on whether they had concurrent ACI, the patients were divided into T2DM with ACI group (case group) and pure T2DM group (control group). The patients were then allocated to a training set ( n=558) and a validation set ( n=240) in a 7∶3 ratio by the sample functions in R software. LASSO regression was employed to screen and optimize variables, and a multivariate logistic regression analysis was used to establish the nomogram prediction model. The discriminative ability, calibration, and clinical usefulness of the risk prediction model were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis, respectively. Results:LASSO regression identified gender, age, systolic blood pressure, fasting plasma glucose (FPG), albumin (ALB), and carotid vascular condition as the variables for prediction. The multivariable logistic regression analysis showed that female ( OR=0.489, 95% CI: 0.308-0.778) and ALB ( OR=0.846, 95% CI: 0.795-0.901) were protective factors for ACI occurrence in T2DM patients, while age ( OR=1.051, 95% CI:1.025-1.077), systolic blood pressure ( OR=1.047, 95% CI: 1.034-1.059), FPG ( OR=1.185, 95% CI: 1.089-1.288), and carotid plaque ( OR=7.359, 95% CI: 3.050-17.756) were risk factors. The area under the ROC curve (AUC) for risk of ACI in the training set was 0.863(95% CI: 0.833-0.893), and it was 0.846(95% CI: 0.797-0.896) for the validation set. Calibration curves and the Hosmer-Lemeshow goodness-of-fit test indicated good model fit (training set χ2=8.311, P=0.404; validation set χ2=3.957, P=0.861). Decision curve analysis showed that the clinical effectiveness of the model was higher when the threshold probabilities of the training set and the validation set was 0.02-0.93 and 0.12-0.99, respectively. Conclusion:In this study, a prediction model of ACI risk in T2DM patients was successfully established.

Objective:To evaluate the effect of strict intraoperative blood glucose control on postoperative hepatic allograft dysfunction in patients undergoing liver transplantation.Methods:A total of 164 patients of both sexes, aged 18-64 yr, with body mass index of 18-30 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅲ or Ⅳ, undergoing orthotopic liver transplantation, were divided into strict intraoperative blood glucose control group (group S, 6.0-7.8 mmol/L) and routine blood glucose control group (group C, 4.1-10.0 mmol/L) using a random number table method. From the completion of anesthesia induction to the end of operation, arterial blood glucose was measured every 1 h, and blood glucose management was carried out in combination with the goal-oriented blood glucose control process. The occurrence of postoperative hepatic allograft dysfunction, infection within 30 days after surgery, offline extubation time, duration of intensive care unit stay and total length of hospital stay were recorded. Results:Compared with group C, the incidence of postoperative liver dysfunction and infection within 30 days after operation were significantly decreased ( P<0.05), and no significant change was found in the offline extubation time, duration of intensive care unit stay and total length of hospital stay in group S ( P>0.05). Conclusions:Strict blood glucose control during liver transplantation can decrease the development of postoperative liver dysfunction in patients.

Objective To investigate the differential expression of miR-124-3p in peripheral blood and clinical sig-nificance of patients with β-thalassemia.Methods Peripheral blood samples were collected from 33 patients with β-thalassemia and 30 healthy controls in Ningde Municipal Hospital Affiliated to Ningde Normal University from June 2021 to August 2022.The expression level of miR-124-3p was detected.Luciferase reporter gene was used to verify the interaction between miR-124-3p and ERF 3'UTR.The correlation between differential expression of miR-124-3p and β-thalassemia was analyzed and the clinical diagnostic value of miR-124-3p for β-thalassemia was eval-uated.Results Compared with healthy control individuals,the expression of miR-124-3p was significantly up-reg-ulated in patients with β-thalassemia(P＜0.001).The genotype of miR-124-3p high expression group was 84.2%β0(16/19),the genotype of low expression group was 55.6%β+(10/18).ROC curve analysis showed that miR-124-3p had predictive efficacy for β-thalassemia(AUC:0.842).Luciferase reporter gene analysis showed that ERF gene was the regulatory target of miR-124-3p.Conclusions The differential expression of miR-124-3p in patients with β-thalassemia is closely related to the genotype and clinical severity of thalassemia,and ERF is negatively reg-ulated by miR-124-3p.miR-124-3p may be an effective diagnostic biomarker for β-thalassemia.

Objective To investigate the value of serum cell cycle protein-dependent kinase 1(CDK1)and aurora kinase A(AURKA)in the diagnosis of patients with hepatitis B virus-related hepatocellular carcinoma(HBV-HCC).Methods A total of 50 HBV-HCC patients,50 patients with hepatitis B virus-related liver cirrhosis(HBV-LC),and 50 chronic hepatitis B(CHB)patients who were hospitalized in Department of Gastroenterology,Gansu Provincial Hospital,from June 2022 to December 2023 were enrolled,and 50 healthy individuals,matched for age and sex,who received physical examination at Physical Examination Center during the same period of time were enrolled as control group.Related data were recorded for all patients,including age,sex,complications,and the results of routine blood test,liver function,and coagulation for the first time after admission.ELISA was used to measure the serum levels of CDK1 and AURKA.A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups,and the least significant difference t-test was used for further comparison between two groups;the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups and the least significant difference Bonferroni test was used for further comparison between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.The Spearman correlation analysis was used to investigate the correlation between CDK1 and AURKA,and the receiver operating characteristic(ROC)curve and the area under the ROC curve(AUC)were used to investigate the value of CDK1 and AURKA in the diagnosis of HBV-HCC.Results There were significant differences in liver function parameters between the HBV-HCC patients and the control group(all P<0.05);there were significant differences between the CHB group and the HBV-HCC group in albumin,Glb,direct bilirubin,aspartate aminotransferase(AST),gamma-glutamyl transpeptidase(GGT),and alkaline phosphatase(all P<0.05);there were significant differences between the HBV-LC group and the HBV-HCC group in Glb,AST,and GGT(all P<0.05).The HBV-HCC group had significantly higher serum levels of CDK1 and AURKA than the HBV-LC group,the CHB group,and the control group(all P<0.05).There was a significant positive correlation between CDK1 and AURKA in the overall study population and the HBV-HCC patients(r=0.526 6 and 0.815 2,P<0.001).With the control group as reference,CDK1 had an AUC of 0.832 3 in the diagnosis of HBV-HCC,with a sensitivity of 92.86%and a specificity of 75%,and AURKA had an AUC of 0.886 6 in the diagnosis of HCC,with a sensitivity of 95.80%and a specificity of 74%.With the CHB group as reference,CDK1 had an AUC of 0.833 3 in the diagnosis of HBV-HCC,with a sensitivity of 93.75%and a specificity of 75%,and AURKA had an AUC of 0.972 7 in the diagnosis of HBV-HCC,with a sensitivity of 95.83%and a specificity of 91.67%.With the HBV-LC group as reference,CDK1 had an AUC of 0.608 5 in the diagnosis of HBV-HCC,with a sensitivity of 66.67%and a specificity of 54.17%,and AURKA had an AUC of 0.762 2 in the diagnosis of HBV-HCC,with a sensitivity of 95.83%and a specificity of 47.92%.Conclusion The serum levels of CDK1 and AURKA increase with the progression of hepatitis B-associated chronic liver disease,and significant increases in serum CDK1 and AURKA have a certain value in the diagnosis of HBV-HCC.