INTRODUCTION: Comparison of patient health-related quality of life (HRQOL) scores to a reference group is needed to quantify the HRQOL impact of disease or treatment. This study aimed to establish population norms for 2 HRQOL questionnaires-EuroQol 5-dimension 5-level questionnaire (EQ-5D-5L) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core Question-naire 30 (EORTC QLQ-C30) according to age, sex and ethnicity-and to explore relationships between the EQ-5D-5L, EORTC QLQ-C30 and sociodemographic characteristics. We used a representative sample of adult Singapore residents aged 21 years and above. METHOD: This study used data collected from a cross-sectional household survey in which 600 adult Singaporeans completed questions on sociodemo-graphic characteristics-the EQ-5D-5L and the EORTC QLQ-C30. Multiple linear regression analyses were conducted to explore associations between sociodemographic characteristics, the EQ-5D-5L scores and the EORTC QLQ-C30 scores. Regression-based population norms were computed for each subgroup using a post-stratification method. RESULTS: In multiple linear regression analysis, age was significantly associated with EQ-5D-5L index and visual analogue scale (VAS) scores, while no sociodemographic characteristics were significantly associated with EORTC QLQ-C30 summary scores. The normative EQ-5D-5L index and VAS scores decreased in adults aged 65 years and above, and EQ-5D-5L index scores were slightly lower in females than males and in non-Chinese than Chinese. The normative EORTC QLQ-C30 summary scores were slightly higher in Chinese than in the non-Chinese group and in the 45-64 age group than other age groups. CONCLUSION This study provides population norms for the EQ-5D-5L and EORTC QLQ-C30 for the general adult population in Singapore. Future studies of patient populations in Singapore using EQ-5D-5L or QLQ-C30 can use these normative data to interpret the HRQOL data collected.
Humans ; Quality of Life ; Singapore ; Male ; Female ; Middle Aged ; Adult ; Cross-Sectional Studies ; Aged ; Surveys and Questionnaires ; Young Adult ; Health Status ; Age Factors ; Linear Models ; Aged, 80 and over

Constructing an efficient and easy-to-operate multigene expression system is currently a crucial part of plant genetic engineering. In this study, a fragment carrying three independent gene expression cassettes and the expression unit of the gene-silencing suppressor protein(RNA silencing suppressor 19 kDa protein, P19) simultaneously was designed and constructed. This fragment was cloned into the commonly used plant expression vector pCAMBIA300, and the plasmid pC1300-TP2-P19 was obtained. Each gene expression cassette consists of different promoters, fusion tags, and terminators. The target gene can be flexibly inserted into the corresponding site through enzymatic digestion and ligation or recombination and fused with different protein tags, which provides great convenience for subsequent detection. The enhanced green fluorescent protein(eGFP) reporter gene was individually constructed into each expression cassette to verify the feasibility of this vector system. The results of tobacco transient expression and laser-confocal microscopy showed that each expression cassette presented independent and normal expression. Meanwhile, the three key enzyme genes in the betanin synthesis pathway, BvCYP76AD, BvDODA1, and DbDOPA5GT, were constructed into the three expression cassettes. The results of tobacco transient expression phenotype, protein immunoblotting(Western blot), and chemical detection of product demonstrated that the three exogenous genes were highly expressed, and the target compound betanin was successfully produced. The above results indicated that the constructed multigene expression system for plants in this study was efficient and reliable and can achieve the co-transformation of multiple plant genes. It can provide a reliable vector platform for the analysis of plant natural product synthesis pathways, functional verification, and plant metabolic engineering.
Nicotiana/metabolism* ; Genetic Vectors/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Plants, Genetically Modified/metabolism* ; Genetic Engineering/methods* ; Green Fluorescent Proteins/metabolism* ; Gene Expression

Objective To investigate the specific molecular mechanism through which microRNA-4488(miR-4488)regulates the proliferation,migration and invasion capabilities of glioblastoma(GBM)by modula-ting the expression level of scratch family transcriptional repressor 1(SCRT1).Methods Quantitative real-time PCR(qPCR)was performed to measure the expression levels of miR-4488 and SCRT1 in astrocyte SVG cells and GBM U87MG cells.Transient transfection was used to introduce miR-4488 mimic nc(mimic control group),miR-4488 mimic(mimic group),miR-4488 inhibitor nc(inhibitor control group),and miR-4488 inhib-itor(inhibitor group)into U87MG cells,which were then divided into four groups accordingly.Lentiviral transfection was used to establish U87MG cell lines transfected with SCRT1 empty vector(control group)and SCRT1 overexpression plasmid(overexpression group).Bioinformatics analysis was performed to identify and validate the binding site sequence between miR-4488 and SCRT1,and the dual-luciferase reporter gene as-say was conducted to verify their targeting relationship.The EdU assay was employed to assess cell prolifera-tion capacity,while the Transwell assay was used to analyze differences in migratory and invasive capacities a-mong groups.Results Compared with SVG cells,miR-4488 expression was upregulated(P＜0.001)and SCRT1 expression was downregulated in U87MG cells(P＜0.001).After transient transfection with miR-4488 mimic,the expression of SCRT1 in the mimic group decreased compared to the mimic control group,with no significant change in proliferative capacity(P＞0.05),but enhanced migration and invasion abilities(P＜0.01 and P＜0.001,respectively).Conversely,after transfection with miR-4488 inhibitor,the expression of SCRT1 in the inhibitor group increased compared to the inhibitor control group,with no significant change in proliferative capacity(P＞0.05),but weakened migration and invasion abilities(P＜0.01 and P＜0.001,re-spectively).The dual-luciferase reporter gene assay confirmed that SCRT1 is a target of miR-4488 in U87MG cells.The SCRT1 overexpression group showed reduced migration and invasion abilities compared to the con-trol group(P＜0.01 and P＜0.001,respectively).Conclusion MiR-4488 can specifically regulate the expres-sion of SCRT1 to affect the migration and invasion characteristics of GBM.

ObjectiveTo investigate the value of baseline red cell distribution width （RDW） and alkaline phosphatase （ALP） level after ursodeoxycholic acid （UDCA） treatment for one month in predicting the response to UDCA treatment in patients with primary biliary cholangitis （PBC）. MethodsA retrospective analysis was performed for the data of 127 patients with PBC who were diagnosed in Department of Hepatology， The Third People’s Hospital of Jiangsu University， from January 2015 to July 2022， with data collected at baseline， after one month of treatment， and after one year of follow-up. Based on the Paris-I criteria， the patients were divided into good response group and poor response group， and the two groups were analyzed in terms of clinical and laboratory features and their association with response to UDCA. The Logistic regression method was used to investigate the independent risk factors for response to UDCA treatment. The area under the ROC curve （AUC） was used to determine the optimal cut-off values of related indicators； the patients were divided into two groups based on such values， and the two groups were compared in terms of baseline indicators and response. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. ResultsCompared with the good response group， the poor response group had significantly higher levels of total bilirubin， aspartate aminotransferase/alanine aminotransferase， ALP， RDW， and RDW-CV at baseline and a significantly higher level of ALP after one month of UDCA treatment （Z=-4.792， -3.697， -2.399， -4.102， -3.220， and -4.236， all P<0.05）. Compared with the good response group， the poor response group had significantly lower levels of albumin， hemoglobin， lymphocytes， hematocrit， and body mass index at baseline （Z=-3.592， -3.603， -2.602， -3.829， -2.432， all P<0.05）， as well as significantly lower levels of prealbumin， albumin/globulin ratio， apolipoprotein A， and free triiodothyronine at baseline （t=4.530， 3.402， 3.485， and 3.639， all P<0.001）. Compared with the poor response group， the good response group had a significantly lower proportion of patients with liver cirrhosis， gallstones/cholecystitis， or anemia （χ²=20.815， 3.892， and 12.283， all P<0.05）. Baseline RDW （odds ratio ［OR］=1.157， 95% confidence interval ［CI］： 1.028‍ — ‍1.301， P=0.015） and ALP level after one month of treatment （OR=1.012， 95%CI： 1.005‍ — ‍1.020， P=0.002） were independent risk factors for response to UDCA， with an AUC of 0.713 and 0.720， respectively. The patients with baseline RDW≥upper limit of normal （ULN） and ALP≥2.2×ULN after one month of UDCA treatment had a lower UDCA response rate （42.6% vs 8.2%， χ²=20.813， P<0.001）. ConclusionPatients with baseline RDW≥ULN and ALP≥2.2×ULN after one month of UDCA treatment tend to have a low biochemical response rate to UDCA.

Objective To establish a recurrence risk prediction model for meningioma based on HOXA9 DNA methylation.Methods Meningioma-related datasets were downloaded from GEO database for screening homeobox genes(HOXs)with prognostic values using differential methylation and ROC curve analysis and Cox regression analysis.The differentially methylated CpG sites with high predictive efficacy were selected to establish the risk prediction model using Lasso-Cox regression analysis,based on which the patients were divided into high-and low-risk groups by the cutoff value.The methylation levels of CpG sites were verified at the cell and tissue levels using methylation-specific PCR(MS-PCR).Clinical meningioma tissue samples were used to validate the predictive efficacy of the model.Results HOXA9 methylation level was significantly up-regulated in meningiomas(P<0.001)and showed a high diagnostic efficiency(AUC=0.884)as an independent risk factor for overall survival(P<0.01)positively correlated with the degree of malignancy and poor prognosis of meningioma(P<0.05).Risk stratification by HOXA9 methylation was more accurate than WHO grading for predicting recurrence and patient survival time.The AUCs of the sites cg03217995 and cg21001184 were both above 0.8 for meningioma diagnosis and above 0.6 for predicting recurrence.The patients'clinical characteristics differed significantly between the high-and low-risk groups(P<0.001),and the prediction score of the model was an independent prognostic factor for meningioma(P<0.05).MS-PCR results showed that the methylation levels of the two sites increased significantly in meningioma cells.In clinical samples,the combined model showed a high prediction efficiency(AUC=0.857),and the predicted risk of progression was highly consistent with the patients'actual condition.Conclusion High HOXA9 methylation level is a predictor for poor prognosis of meningiomas,and the combined prediction model based on its CpG sites provides a new approach to early screening of meningioma patients at risk of progression.

Objective To explore the mechanism of melatonin(Mel)alleviating cholestatic liver injury in a mouse cholestasis model induced by cholic acid(CA)feeding.Methods A total of 15 8-week-old male C57BL/6J mice were randomly divided into control group,1％CA group,and 1％CA+Mel group,with 5 animals in each group.The control group was fed with normal chow diet,and the other 2 groups were fed with a diet containing 1％CA for 14 d to construct a model of cholestasis,and intraperitoneal injection with 100 mg/kg Mel was given to the mice from the 1％CA+Mel group.Immunohistochemical assay of α-SMA was applied for the liver tissues in the 1％CA group and the 1％CA+Mel group.The mRNA expression levels of fibrosis-related indicators in mouse liver tissue were examined by RT-qPCR.Liquid chromatography tandem mass spectrometry(LC-MS/MS)and automated biochemical analyzer were used to detect the contents of bile acids in the liver tissues and the serum of mouse,respectively.Then real-time qPCR and Western blotting were applied to detect the expression of bile acid synthesis and liver detoxification enzymes related indicators at mRNA and protein levels,respectively,to further investigate the mechanism of bile acid metabolism.Results Compared with the 1％CA group,the mRNA levels of liver fibrosis indicators(such as Tgfβ1,Col Ⅰ a1,Col Ⅱa1 and α-SMA)were significantly reduced(P＜0.05),and activation of stellate cells was obviously weakened displayed by immunohistochemical staining in the 1％CA+Mel group.The 1％CA+Mel group had notably decreased contents of bile acids in the serum and liver tissues,especially taurocholic acid and reduced mRNA levels of cholesterol 7α-hydroxylase(Cyp7a1)and Cyp8b1,while enhanced mRNA levels of hepatic detoxification enzymes Cyp2b10 and udp-glucuronosyltransferase(Ugt1a1)as well as protein levels of Cyp2b10 and sulfotransferase family 2A member 1(Sult2a1/2)when compared with the 1％CA group(P＜0.05).Conclusion Mel exerts its therapeutic effect on cholestasis by decreasing bile acid synthesis and increasing hepatic detoxification enzymes.

By using paddy rice harvested between 2019 and 2023 as the research object,the volatile components of rice grains were detected by headspace solid-phase microextraction coupled with gas chromatography-triple quadrupole mass spectrometry.Qualitative analysis of the compounds was complemented by a standard mass spectrometry database and retention index,while a selected ion monitoring approach was established to quantify the contents of each component through the internal standard method.Multivariate statistical analyses including principal component analysis and orthogonal partial least squares discriminant analysis were employed to identify differential compounds related to freshness of the paddy rice.Subsequently,a classification model for identifying stored paddy rice based on volatile component analysis was developed.A total of 44 kinds of volatile compounds were identified across different harvest years,including aldehydes,alcohols,ketones,acids,esters,phenols and furans.The results of the multivariate statistical analysis revealed that the content-based orthogonal partial least squares discriminant analysis model could effectively distinguish 2023 harvested paddy rice from those harvested between 2019 and 2022 into two distinct categories.Notably,compounds such as hexanoic acid and nonanoic acid along with twelve others were identified as differential compounds based on variable improtance in projection(VIP)values exceeding 1 and p values less than 0.05.The classification model established through volatile component analysis was expected to provide a theoretical foundation for assessing the freshness of stored paddy rice.

Three-dimensional graphene hydrogel(3DGH)was successfully prepared through a hydrothermal method,followed by its composition with gold nanoparticles(AuNPs)to construct a highly sensitive Au/3DGH graphene electrochemical transistor(GECT)dopamine(DA)sensor.AuNPs are efficient electrocatalytic materials.However,their tendency to aggregate during electrodeposition hinds the practical application.The porous and interconnected network structure of 3DGH provided abundant attachment sites,effectively preventing AuNPs aggregation.By modifying the sensor's gate with Au/3DGH,the excellent electrocatalytic performance of Au/3DGH towards DA and the high sensitivity of GECT were utilized to achieve highly sensitive detection of DA.The sensor exhibited a low detection limit of 20 nmol/L and a linear range of 20 nmol/L to 2.5 mmol/L.Remarkably,the sensor showed high sensitivity,excellent selectivity and strong stability,and hold great potnetial in highly sensitive portable detection of DA in disease prevention and clinical monitoring.

Objective To establish a recurrence risk prediction model for meningioma based on HOXA9 DNA methylation.Methods Meningioma-related datasets were downloaded from GEO database for screening homeobox genes(HOXs)with prognostic values using differential methylation and ROC curve analysis and Cox regression analysis.The differentially methylated CpG sites with high predictive efficacy were selected to establish the risk prediction model using Lasso-Cox regression analysis,based on which the patients were divided into high-and low-risk groups by the cutoff value.The methylation levels of CpG sites were verified at the cell and tissue levels using methylation-specific PCR(MS-PCR).Clinical meningioma tissue samples were used to validate the predictive efficacy of the model.Results HOXA9 methylation level was significantly up-regulated in meningiomas(P<0.001)and showed a high diagnostic efficiency(AUC=0.884)as an independent risk factor for overall survival(P<0.01)positively correlated with the degree of malignancy and poor prognosis of meningioma(P<0.05).Risk stratification by HOXA9 methylation was more accurate than WHO grading for predicting recurrence and patient survival time.The AUCs of the sites cg03217995 and cg21001184 were both above 0.8 for meningioma diagnosis and above 0.6 for predicting recurrence.The patients'clinical characteristics differed significantly between the high-and low-risk groups(P<0.001),and the prediction score of the model was an independent prognostic factor for meningioma(P<0.05).MS-PCR results showed that the methylation levels of the two sites increased significantly in meningioma cells.In clinical samples,the combined model showed a high prediction efficiency(AUC=0.857),and the predicted risk of progression was highly consistent with the patients'actual condition.Conclusion High HOXA9 methylation level is a predictor for poor prognosis of meningiomas,and the combined prediction model based on its CpG sites provides a new approach to early screening of meningioma patients at risk of progression.

Objective To observe the clinical efficacy of closed-loop rehabilitation therapy by brain-computer interface(BCI)combined with exoskeleton robotic hand in patients with hand dysfunction after cerebral infarction and analyze the influence of patients'cognitive function and implicit motor imagery ability on the recognition rate of BCI.Methods A total of 50 patients with cerebral infarction were randomly assigned to the observation group and the control group,25 patients in each group.Both groups received routine rehabilitation programs.In addition to the conventional rehabilitation treatment,the observation group received the closed-loop BCI rehabilitation trainingby brain-computer interface(BCI)combined with exoskeleton robotic hand.The scores of Fugl-Meyer Assessment of the Upper Extremity(FMA-UE),Action Research Arm Test(ARAT),Wolf Motor Function Test(WMFT),and Modified Ashworth scale(MAS)of the wrist flexors were compared between the two groups before and after treatment.Before intervention,the mental rotation test and Montreal Cognitive Assessment(MoCA)were used to assess the baseline implicit motor imagery ability and cognitive level of patients in the observation group.The correlation analysis between these scores and the recognition rate of BCI was conducted to analyze the relevant factors affecting the closed-loop rehabilitation effects of BCI.Results The two groups showed no significant difference in all outcomes before treatment(both P>0.05).After intervention,the observation group exhibited the significantly higher scores of FMA-UE,ARAT,and WMFT(all P<0.05),and significantly lower MAS scores of wrist and finger flexors compared with the control group(all P<0.05).In addition,the recognition rate of BCI was positively correlated with the accuracy of mental rotation test and MoCA score(P<0.05),and negatively corre-lated with the reaction time of mental rotation test(P<0.05).Conclusions Closed-loop rehabilitation training with BCI combined with exoskeleton robot hand can promote the recovery of upper limbs and hand motor function in patients with cerebral infarction.Additionally,the implicit motor imagery ability and cognitive function of patients are suggested to be used for screening the patients suitable for BCI training before the implementation of BCI treatment.