Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

This study aims to investigate the protective effects and mechanisms of polysaccharide extract PCP1 from Polygonatum cyrtonema in ameliorating cerebral ischemia-reperfusion(I/R) injury in rats through modulation of the Toll-like receptor 4(TLR4)/NOD-like receptor protein 3(NLRP3) signaling pathway. In vivo, SD rats were randomly divided into the sham group, model group, PCP1 group, nimodipine(NMDP) group, and TLR4 signaling inhibitor(TAK-242) group. A middle cerebral artery occlusion/reperfusion(MCAO/R) model was established, and neurological deficit scores and infarct size were evaluated 24 hours after reperfusion. Hematoxylin-eosin(HE) and Nissl staining were used to observe pathological changes in ischemic brain tissue. Transmission electron microscopy(TEM) assessed ultrastructural damage in cortical neurons. Enzyme-linked immunosorbent assay(ELISA) was used to measure the levels of interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-18(IL-18), tumor necrosis factor-α(TNF-α), interleukin-10(IL-10), and nitric oxide(NO) in serum. Immunofluorescence was used to analyze the expression of TLR4 and NLRP3 proteins. In vitro, a BV2 microglial cell oxygen-glucose deprivation/reperfusion(OGD/R) model was established, and cells were divided into the control, OGD/R, PCP1, TAK-242, and PCP1 + TLR4 activator lipopolysaccharide(LPS) groups. The CCK-8 assay evaluated BV2 cell viability, and ELISA determined NO release. Western blot was used to analyze the expression of TLR4, NLRP3, and downstream pathway-related proteins. The results indicated that, compared with the model group, PCP1 significantly reduced neurological deficit scores, infarct size, ischemic tissue pathology, cortical cell damage, and the levels of inflammatory factors IL-1β, IL-6, IL-18, TNF-α, and NO(P<0.01). It also elevated IL-10 levels(P<0.01) and decreased the expression of TLR4 and NLRP3 proteins(P<0.05, P<0.01). Moreover, in vitro results showed that, compared with the OGD/R group, PCP1 significantly improved BV2 cell viability(P<0.05, P<0.01), reduced cell NO levels induced by OGD/R(P<0.01), and inhibited the expression of TLR4-related inflammatory pathway proteins, including TLR4, myeloid differentiation factor 88(MyD88), tumor necrosis factor receptor-associated factor 6(TRAF6), phosphorylated nuclear factor-kappaB dimer RelA(p-p65)/nuclear factor-kappaB dimer RelA(p65), NLRP3, cleaved-caspase-1, apoptosis-associated speck-like protein(ASC), GSDMD-N, IL-1β, and IL-18(P<0.05, P<0.01). The protective effects of PCP1 were reversed by LPS stimulation. In conclusion, PCP1 ameliorates cerebral I/R injury by modulating the TLR4/NLRP3 signaling pathway, exerting anti-inflammatory and anti-pyroptotic effects.
Animals ; Toll-Like Receptor 4/genetics* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Rats, Sprague-Dawley ; Rats ; Reperfusion Injury/genetics* ; Male ; Signal Transduction/drug effects* ; Polysaccharides/isolation & purification* ; Polygonatum/chemistry* ; Brain Ischemia/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Humans

Objective:Based on the autoregressive integrated moving average (ARIMA) model, back propagation neutral network (BPNN), and ARIMA-BPNN model, select the optimal model suitable for predicting the incidence trend of hepatitis C in Taiyuan City according to the characteristics of the data.Methods:The data of reported cases of hepatitis C in Taiyuan from 2008 to 2021 were selected, and the seasonal trend decomposition chart was used to analyze the seasonal characteristics of the monthly incidence rate of hepatitis C in Taiyuan during the period, and the ARIMA model, BPNN model, and ARIMA-BPNN model were established to predict. The performance of the model was measured using four indicators: mean absolute error ( MAE), mean squared error ( MSE), root mean square error ( RMSE), and mean absolute percentage error ( MAPE). Results:A total of 20 025 cases of hepatitis C were reported, and the overall incidence trend was stable. The BPNN model performed well on MSE, MAE, and RMSE indicators, the ARIMA-BPNN model performed well on MAPE indicators, and the ARIMA model performed relatively averagely. Conclusions:The ARIMA-BPNN model is a better model for predicting the trend of hepatitis C in Taiyuan City, with a higher predictive performance than a single model. It has significant prospects in predicting the trend of infectious diseases.

Objective:To explore the relationships among psychological resilience,spiritual health,and illness uncertainty in cancer patients,and to analyze the mediating role of disease uncertainty.Methods:The cancer patients were selected by convenience sampling method from Feb 2024 to May 2024 in the Department of Oncology of a Grade Ⅲ-A general hospital in Wuhu City.Data were collected using a general information questionnaire,the Mishel Uncertainty in Illness Scale(MUIS),the Functional Assessment of Chronic Illness Therapy-Spiritual Well-being Scale(FACIT-SP-12,Chinese version),and the Connor-Davidson Resilience Scale(CD-RISC-10).Pearson correlation analysis was conducted to assess the relationships among psychological resilience,illness uncertainty,and spiritual health.The mediating effect of illness uncertainty was tested using Hayes'PROCESS Model 4 and the Bootstrap method.Results:The total scores of spiritual health,psychological resilience and illness uncertainty of cancer patients was(25.11±7.19),(24.36±6.75)and(67.75±13.06),respectively.The spiritual health was positively correlated with psychological resilience(r=0.415,P＜0.01)and negatively correlated with illness uncertainty(r=-0.398,P＜0.01).The psychological resilience was negatively correlated with illness uncertainty(r=-0.668,P＜0.01).Illness uncertainty partially mediated the relationship between psychological resilience and spiritual health,accounting for 35.29%of the total effect.Conclusions:The spiritual health of cancer patients is at a moderate level.Enhancing psychological resilience and reducing illness uncertainty can alleviate psychological burden and improve spiritual health,thereby promoting overall quality of life.

Objective:Based on the autoregressive integrated moving average (ARIMA) model, back propagation neutral network (BPNN), and ARIMA-BPNN model, select the optimal model suitable for predicting the incidence trend of hepatitis C in Taiyuan City according to the characteristics of the data.Methods:The data of reported cases of hepatitis C in Taiyuan from 2008 to 2021 were selected, and the seasonal trend decomposition chart was used to analyze the seasonal characteristics of the monthly incidence rate of hepatitis C in Taiyuan during the period, and the ARIMA model, BPNN model, and ARIMA-BPNN model were established to predict. The performance of the model was measured using four indicators: mean absolute error ( MAE), mean squared error ( MSE), root mean square error ( RMSE), and mean absolute percentage error ( MAPE). Results:A total of 20 025 cases of hepatitis C were reported, and the overall incidence trend was stable. The BPNN model performed well on MSE, MAE, and RMSE indicators, the ARIMA-BPNN model performed well on MAPE indicators, and the ARIMA model performed relatively averagely. Conclusions:The ARIMA-BPNN model is a better model for predicting the trend of hepatitis C in Taiyuan City, with a higher predictive performance than a single model. It has significant prospects in predicting the trend of infectious diseases.

Objective:To explore the relationships among psychological resilience,spiritual health,and illness uncertainty in cancer patients,and to analyze the mediating role of disease uncertainty.Methods:The cancer patients were selected by convenience sampling method from Feb 2024 to May 2024 in the Department of Oncology of a Grade Ⅲ-A general hospital in Wuhu City.Data were collected using a general information questionnaire,the Mishel Uncertainty in Illness Scale(MUIS),the Functional Assessment of Chronic Illness Therapy-Spiritual Well-being Scale(FACIT-SP-12,Chinese version),and the Connor-Davidson Resilience Scale(CD-RISC-10).Pearson correlation analysis was conducted to assess the relationships among psychological resilience,illness uncertainty,and spiritual health.The mediating effect of illness uncertainty was tested using Hayes'PROCESS Model 4 and the Bootstrap method.Results:The total scores of spiritual health,psychological resilience and illness uncertainty of cancer patients was(25.11±7.19),(24.36±6.75)and(67.75±13.06),respectively.The spiritual health was positively correlated with psychological resilience(r=0.415,P＜0.01)and negatively correlated with illness uncertainty(r=-0.398,P＜0.01).The psychological resilience was negatively correlated with illness uncertainty(r=-0.668,P＜0.01).Illness uncertainty partially mediated the relationship between psychological resilience and spiritual health,accounting for 35.29%of the total effect.Conclusions:The spiritual health of cancer patients is at a moderate level.Enhancing psychological resilience and reducing illness uncertainty can alleviate psychological burden and improve spiritual health,thereby promoting overall quality of life.

Tumor metastasis is the main cause of death in clinical patients. The proposal of the pre-metastatic microenvironment hypothesis offers a new research direction for tumor metastasis. Targeting and inhibiting the activation of the stimulator of interferon genes(STING) signals by tumor cell-derived microparticles may help reduce tumor metastasis. This study constructed a pre-metastatic microenvironment and pulmonary metastasis model using recombinant adeno-associated virus vector-mediated short hairpin RNA interference of STING(rAAV STING shRNA) to investigate the effects of STING interference on the pre-metastatic microenvironment and the impact of total Epimedium flavonoids(EFs) as an intervention. Drug-containing microparticles were prepared by incubating mouse Lewis lung cancer(LLC) cells with the total EFs(EFs-LLC-MPs), and EFs-LLC-MPs were characterized by measuring the average particle size, polydispersity index, zeta potential, and release profile. Western blot was used to examine changes in pre-metastatic microenvironment markers in mouse alveolar epithelial cells(MLE-12) after treatment with microparticles or total EFs. Drug loading capacity and the uptake of microparticles by MLE-12 and mouse alveolar macrophages(MH-S) cells were determined using HPLC and flow cytometry. The uptake experiments showed that after nasal administration of rAAV STING shRNA, STING expression was significantly inhibited, and the markers of the pre-metastatic microenvironment were markedly reduced. Micro-CT results indicated a reduction in lung metastases and nodules, and the anti-metastatic effect of total EFs was affected. The results showed that the microparticles were membrane vesicles with a particle size of(373.17±3.18)nm, a Zeta potential of(-35.40±1.08)mV, a protein concentration of 562.62 μg·mL~(-1), and a drug loading of 0.060 9 μg per microgram of protein. These microparticles were effectively taken up by MLE-12 and MH-S cells. Treatment of MLE-12 and MH-S cells with EFs-LLC-MPs reduced the expression of pre-metastatic microenvironment markers such as fibronectin and lysyl oxidase(LOX). Based on these findings, it was confirmed that STING was involved in the regulation of the formation of the pre-metastatic microenvironment in the lungs. Furthermore, total EFs microparticles were successfully prepared, showing potential to intervene in the inflammatory pre-metastatic microenvironment, which could be promising for controlling tumor metastasis.
Animals ; Flavonoids/chemistry* ; Mice ; Tumor Microenvironment/drug effects* ; Epimedium/chemistry* ; Lung Neoplasms/metabolism* ; Humans ; Mice, Inbred C57BL ; Neoplasm Metastasis ; Cell Line, Tumor ; Particle Size ; Drugs, Chinese Herbal/pharmacology* ; Membrane Proteins/metabolism*

Aim To explore the mechanism of the effect of rosiglitazone(Rsg)on the pancreatic cancer in diabetic mice based on the impact of PPARγ on glu-cose transport and metabolism.Methods A high-fat and high sugar diet combined with STZ was used to construct T2DM model;T2DM mice and normal mice were subcutaneously injected with PANC02 cells to construct a transplanted tumor model.T2DM trans-planted tumor mice and normal transplanted tumor mice were divided into the following groups:Rsg,PPARy inhibitor(PIN-2),rosiglitazone+PPARγ in-hibitor(Rsg+PIN-2),and normal transplanted tumor mice(NDM)and T2DM transplanted tumor mice(DM)were used as control groups,respectively.Tis-sue samples were collected after intervention.Tissue pathological changes were observed by HE staining.The expressions of Ki67 and PCNA proteins were de-tected by immunohistochemistry.Cell apoptosis was detected by TUNEL assay.The expression of PPARγwas detected by immunofluorescence.The expressions of Glucokinase,GLUT2,Nkx6.1,PDX-1RT-PCR were determined by Western blot.Results Rsg could significantly reduce the tumor mass,pathological chan-ges,Ki67 and PCNA expression of transplanted tumors(P＜0.05),increase cell apoptosis and the expression of PPARγ,Glucokinase,GLUT2,Nkx6.1,PDX-1 proteins in NDM and DM mice(P＜0.05).PIN-2 could reverse the indicator changes caused by Rsg in NDM and DM mice.However,compared with NDM mice,the above related indicators of the DM group mice were more sensitive to Rsg and PIN-2.Conclu-sions Compared to non-diabetic pancreatic cancer,rosiglitazone can more sensitively inhibit the prolifera-tion of pancreatic cancer with T2DM,induce apopto-sis,and reprogram the metabolism of pancreatic cancer with T2DM by activating PPA Rγ and altering the ex-pression of glucose and lipid metabolism genes,there-by exerting an anti-cancer effect.

Ecto-nucleotide pyrophosphatases/phosphodiesterases(ENPPs)are involved in the hydrolysis of different purine nu-cleotides in a range of physiological processes.In recent years,it has also been found to be involved in tumor progression,with ENPP1 often overexpressed in local recurrence and tumor metas-tasis,which is associated with poor prognosis and survival in a range of solid tumors.The role of ENPP1 in tumors is mainly fo-cused on tumor proliferation,metastasis,immunity,recurrence,etc.,and it is speculated that ENPP1 can be used as a prognos-tic indicator for a variety of tumors.ENPP1 promotes the immu-nosuppressive tumor microenvironment by being obliquely in-volved in the regulation of ATP/adenosine homeostasis by com-bining with other components,which crosses with interferon gene stimulators to impair its potent immune response through the hy-drolysis of the effector 2',3'-cyclic GMP-AMP.Therefore,EN-PP1 blockade has become an effective means to induce immune remodeling and inhibit tumorigenesis and development.The ex-isting ENPP1 inhibitors mainly include natural small molecule compounds,nucleotide ENPP1 inhibitors,non-nucleotide EN-PP1 inhibitors,and novel small molecule ENPP1 inhibitors.So far,a small number of ENPP1 inhibitors have been developed and are rarely suitable for in vivo experiments,and they are still in the stage of developing effective compounds or lead com-pounds,and the research on ENPP1 inhibitors needs to be fur-ther studied.This review summarizes and discusses the role of ENPP1 in tumors,and summarizes the current research progress of various ENPP1 agents and their current research progress,in order to provide a reference for further research on the prepara-tion of drug candidates.

DNA origami is a powerful technique for generating nanostructures with dynamic properties and intelligent controllability. The precise geometric shapes, high programmability, and excellent biocompatibility make DNA origami nanostructures an emerging drug delivery vehicle. The shape, size of the carrier material, as well as the loading and release of drugs are important factors affecting the bioavailability of drugs. This paper focuses on the controllable design of DNA origami nanostructures, efficient drug loading, and intelligent drug release. It summarizes the cutting-edge applications of DNA origami technology in biomedicine, and discusses areas where researchers can contribute to further advancing the clinical application of DNA origami carriers.