OBJECTIVES: To investigate the effect of age-friendly social and family care environment on the long-term care (LTC) services for the disabled elderly people. METHODS: A questionnaire-based survey was conducted among disabled elderly people in three cities of Zhejiang province from June to August 2022, involving 311 subjects from Ningbo city (LTC service insurance pilot site, insured group) and 542 subjects from Hangzhou and Quzhou cities (uninsured group). The service provisions, including ensuring daily activities, preventive healthcare, and satisfying spiritual comfort, were compared among the groups. The family friendly care environment was evaluated with the Family Function Scale and assistance of daily activities, financial support and emotional comfort. The social friendly care environment was measured with the revised WHO recommended age-friendly city environmental framework, including accessibility guarantee environment, information dissemination environment, social participant environment, and life security environment. After controlling for covariates such as sociodemographic, elderly care status, and health risk characteristics, the impact of environment on the effectiveness of service provision of LTC insurance was explored by multiple logistic regression analysis. The mediating and moderating effects were tested to explore the role of age-friendly care environment. A fixed effects model was used to test the service provision effects of LTC insurance policy. RESULTS: Disabled elderly with LTC insurance had a higher proportion of their preventive health care and spiritual comfort needs met. Additionally, a multifactorial analysis found a significant positive association between LTC insurance and meeting the spiritual comfort needs. Compared with insured group (Ningbo city), disabled elderly people in Hangzhou urban area (OR=0.45, 95%CI:0.27-0.74, P<0.01) and Quzhou rural area (OR=0.21, 95%CI:0.12-0.37, P<0.01) were more likely to feel unsatisfied with spiritual comfort. The results of mediation analysis showed that the scores of accessibility guarantee environment (OR=1.22, 95%CI:1.02-1.45, P<0.05), information dissemination environment (OR=1.19, 95%CI:1.02-1.39, P<0.05), and social participation environment (OR=1.40, 95%CI:1.17-1.67, P<0.01) in a socially friendly care environment were positively correlated with the satisfaction rate of mental comfort services. The results of the moderation effect analysis indicated that a socially friendly care environment (OR=1.46, 95%CI:1.16-1.84, P<0.01) could compensate for the difference in effectiveness between insured (Ningbo) and uninsured (Hangzhou and Quzhou) areas of LTC insurance. A fixed effect model confirmed the policy chain of LTC insurance policy-social friendly care environment-mental health service satisfaction. CONCLUSIONS The implementation of LTC insurance has improved service accessibility, making disabled elderly people feel "seen and valued", and generating psychological and spiritual satisfaction. Accelerating the establishment and improvement of the LTC insurance system requires systematic design, especially emphasizing the supportive role of a socially friendly care environment, and promoting it in urban and rural areas according to the local conditions.
Humans ; Aged ; Persons with Disabilities ; Surveys and Questionnaires ; Long-Term Care ; Female ; Male ; China ; Social Environment ; Middle Aged ; Aged, 80 and over

Biosensors have become powerful tools for real-time monitoring of specific small molecules and precise control of gene expression in biological systems. High-throughput sensors for 1, 4-butanediamine biosynthesis can greatly improve the screening efficiency of high-yielding 1, 4-butanediamine strains. However, the strategies for adapting the characteristics of biosensors are still rarely studied, which limits the applicability of 1, 4-butanediamine biosensors. In this paper, we propose the development of a 1, 4-butanediamine biosensor based on the transcriptional regulator PuuR, whose homologous operator puuO is installed in the constitutive promoter P_gapA of Escherichia coli to control the expression of the downstream superfolder green fluorescent protein (sfGFP) as the reporter protein. Finally, the biosensor showed a stable linear relationship between the GFP/OD₆₀₀ value and the concentration of 1, 4-butanediamine when the concentration of 1, 4-butanediamine was 0-50 mmol/L. The promoters with different strengths in the E. coli genome were used to modify the 1, 4-butanediamine biosensor, and the functional properties of the PuuR-based 1, 4-butanediamine biosensor were explored and improved, which laid the groundwork for high-throughput screening of engineered strains highly producing 1, 4-butanediamine.
Biosensing Techniques/methods* ; Escherichia coli/metabolism* ; Promoter Regions, Genetic/genetics* ; Green Fluorescent Proteins/metabolism* ; Transcription Factors/genetics* ; Escherichia coli Proteins/genetics* ; Diamines/metabolism* ; Gene Expression Regulation, Bacterial

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To explore the relationship between AIDS discrimination,attachment patterns,death anxietyand empathy among college students.Method:Totally 5 375 college students aged 18-25 years were recrui-ted.The Zelaya AIDS Discrimination Scale(ZADS),Relationship Questionnaire(RQ),Death Anxiety Scale(CT-DAS)and Interpersonal Response Index Scale(IRI)were used to evaluate AIDS discrimination,attachment type(including secure,dismissing,preoccupied and fearful),death anxiety and empathy level,respectively.Results:Lo-gistic regression analysis showed that male students[OR(95％CI):2.64(1.62-4.30)],fearful score[OR(95％CI):1.16(1.01-1.34)],CT-DAS score[OR(95％CI):1.04(1.01-1.06)]were risk factors for AIDS dis-crimination,and empathy score was a protective factor for AIDS discrimination[OR(95％CI):0.94(0.90-0.97)].Conclusion:Male college students,and those with higher fear attachment score,high death anxiety and low empathy ability have a higher risk of AIDS discrimination.

Objective:To explore the relationship between AIDS discrimination,attachment patterns,death anxietyand empathy among college students.Method:Totally 5 375 college students aged 18-25 years were recrui-ted.The Zelaya AIDS Discrimination Scale(ZADS),Relationship Questionnaire(RQ),Death Anxiety Scale(CT-DAS)and Interpersonal Response Index Scale(IRI)were used to evaluate AIDS discrimination,attachment type(including secure,dismissing,preoccupied and fearful),death anxiety and empathy level,respectively.Results:Lo-gistic regression analysis showed that male students[OR(95％CI):2.64(1.62-4.30)],fearful score[OR(95％CI):1.16(1.01-1.34)],CT-DAS score[OR(95％CI):1.04(1.01-1.06)]were risk factors for AIDS dis-crimination,and empathy score was a protective factor for AIDS discrimination[OR(95％CI):0.94(0.90-0.97)].Conclusion:Male college students,and those with higher fear attachment score,high death anxiety and low empathy ability have a higher risk of AIDS discrimination.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Background and purpose:Long noncoding RNA(lncRNA)can regulate gene transcription,mRNA shear,stabilization and translation,and it is an important regulatory factor in a variety of biological processes.This study aimed to investigate the expression and clinical features of lncRNA FLJ30679 in oral squamous cell carcinoma(OSCC)and its effect on the malignant biological behavior of OSCC.Methods:The expression of FLJ30679 in head and neck squamous cell carcinoma(HNSCC)tissues and normal tissues was analyzed by the UCSC Xena database for expression and prognosis.The expression of FLJ30679 in OSCC cell lines was detected by real-time fluorescence quantitative polymerase chain reaction(RTFQ-PCR).The subcellular localization of FLJ30679 in OSCC cells was detected by RNA nuclear-cytoplasmic fractionation assays.FLJ30679 Smart Silencer was used to establish the FLJ30679 knockdown group(SS-FLJ30679),and overexpression plasmid of FLJ30679 was used to establish FLJ30679 overexpression group(FLJ30679).The effects of altered FLJ30679 expression on the proliferative and migration capacity of OSCC cells were examined by cell counting kit-8(CCK-8)and transwell migration assays.RTFQ-PCR and Western blot were used to determine the effect of altered FLJ30679 expression on the expression of epithelial-mesenchymal transition(EMT)-related genes in OSCC cells.The effects of altered FLJ30679 expression on the phosphoinositide 3-kinase(PI3K)/protein kinase(AKT)pathway were detected by Western blot.Results:Online query of database showed that FLJ30679 expression was higher in HNSCC tissues compared to normal tissues(P＜0.01).HNSCC patients with higher FLJ30679 expression had lower overall survival(P＜0.01).The RTFQ-PCR results showed that FLJ30679 was expressed at a higher level in six OSCC cell lines compared with normal cells,and was predominantly localized in the nucleus.The ability of OSCC cells in the SS-FLJ30679 group to proliferate and migrate was significantly lower compared with the SS-NC group(P＜0.01).OSCC cells in the FLJ30679 overexpression group had significantly higher proliferative and migratory capacities than those in the vector group(P＜0.001).RTFQ-PCR and Western blot results showed that FLJ30679 knockdown resulted in upregulation of mRNA and protein expression levels of E-cadherin(P＜0.01)and downregulation of mRNA and protein expression levels of N-cadherin and vimentin(P＜0.01).FLJ30679 overexpression resulted in downregulation of protein expression levels of E-cadherin(P＜0.01)and upregulation of mRNA and protein expression levels of N-cadherin and vimentin(P＜0.05).Western blot results showed that knockdown of FLJ30679 resulted in decreased protein expression levels of phosphorylated-PI3K(p-PI3K)and phosphorylated-AKT(p-AKT)(P＜0.001),and overexpression of FLJ30679 resulted in increased protein expression levels of p-PI3K and p-AKT(P＜0.01).Conclusion:The expression of FLJ30679 was increased in OSCC tissues and cells.It promoted the proliferation and migration ability of OSCC cells,which may be caused by FLJ30679 promoting EMT via PI3K/AKT pathway.

Thyroid-associated ophthalmopathy(TAO)is a rare organ-specific autoimmune disease with an unclear pathogenesis. At present, the treatment still relies mainly on glucocorticoids and traditional immunosuppressants. However, some patients respond poorly to these drugs and experience treatment-related adverse reactions, highlighting the urgent need for novel drugs for TAO treatment. In recent years, with the deepening of research on the pathogenesis of TAO, a multitude of biologics targeting specific targets have emerged. Among them, teprotumumab, which targets the insulin-like growth factor-I receptor(IGF-IR), has been approved by the Food and Drug Administration for the treatment of TAO, and several other biologics are currently in clinical trials. This review provides the latest reference for the clinical prevention, treatment, and research of TAO by summarizing the current clinical research status of biologics targeting IGF-IR, neonatal Fc receptor(FcRn), thyroid-stimulating hormone receptor(TSHR), B cells, cytokines, and other biological agents in TAO and analyzing their impact on clinical treatment and future research trends.

Gastric cancer is one of the major diseases threatening human health, with a high incidence and a low early diagnostic rate. There are many bottlenecks encountered during its treatment. Consequently, improving the early diagnostic rate and exploring new therapeutic targets are currently urgent challenges that need to be addressed. Telomerase is undetectable in normal tissues, but it exhibits high specificity and sensitivity in most cancers and has a definite correlation with prognosis. It may serve as a serum tumor marker and prognostic indicator. Human telomerase reverse transcriptase (hTERT) gene polymorphism can regulate the susceptibility of people to gastric cancer, and affect the occurrence, development, proliferation and apoptosis of gastric cancer through its target gene. Substances such as resistin, visfatin, G-quadruplex and methylenedioxyaniline can affect the occurrence and development of gastric cancer by regulating telomerase expression. The mechanism by which hTERT regulates tumor invasion and metastasis is currently unclear, so elucidating its mechanism is of great significance.This paper will review the research progress of this mechanism in recent years.

Objectives:Analyze the clinical characteristics of patients with primary antiphospholipid syndrome (PAPS) progressing to systemic lupus erythematosus (SLE).Explore the risk factors for the progression from PAPS to SLE.Methods:The clinical data of 262 patients with PAPS enrolled in Peking Union Medical College Hospital from February 2005 to September 2021 were evaluated. Assessments included demographic data, clinical manifestations, laboratory tests (serum levels of complement, anti-nuclear antibodies, anti-double-stranded DNA antibodies), treatment, and outcomes. Kaplan-Meier analysis was used to calculate the prevalence of SLE in patients with PAPS. Univariate Cox regression analysis was employed to identify the risk factors for PAPS progressing to SLE.Results:Among 262 patients with PAPS, 249 had PAPS (PAPS group) and 13 progressed to SLE (5.0%) (PAPS-SLE group). Univariate Cox regression analysis indicated that cardiac valve disease ( HR=6.360), positive anti-double-stranded DNA antibodies ( HR=7.203), low level of complement C3 ( HR=25.715), and low level of complement C4 ( HR=10.466) were risk factors for the progression of PAPS to SLE, whereas arterial thrombotic events ( HR=0.109) were protective factors ( P<0.05 for all). Kaplan-Meier analysis showed that the prevalence of SLE in patients suffering from PAPS with a disease course>10 years was 9%-15%. Hydroxychloroquine treatment had no effect on the occurrence of SLE in patients with PAPS ( HR=0.753, 95% CI 0.231-2.450, P=0.638). Patients with≥2 risk factors had a significantly higher prevalence of SLE compared with those with no or one risk factor (13-year cumulative prevalence of SLE 48.7% vs. 0 vs. 6.2%, P<0.001 for both). Conclusions:PAPS may progress to SLE in some patients. Early onset, cardiac-valve disease, positive anti-dsDNA antibody, and low levels of complement are risk factors for the progression of PAPS to SLE (especially in patients with≥2 risk factors). Whether application of hydroxychloroquine can delay this transition has yet to be demonstrated.