Objective · To survey the willingness to enroll in nursing homes among the elders in Shanghai and explore its predictors. Methods · A field survey was performed to collect data from 641 elders aged 60 years old and above in six community health centers in Shanghai. Sociodemographic variables, willingness to use nursing home, perceived barriers and perceived benefits were measured. Results · The questionnaire is with good structural validity and good intrinsic reliability. KMO index, P value of Bartlett's test of sphericity, and the range of Cronbach's α coefficients were 0.862, 0.000,and 0.739-0.824, respectively. Among the respondents, 46% were willing to enroll in a nursing home in this survey. Age had significant influence on their willingness (P=0.045). After adjusting for age, the multivariate Logistic regression analysis showed that shame (OR=0.76, 95% CI=0.62-0.94), adaptability (OR=0.61, 95% CI=0.50-0.74) and perceived benefits (OR=1.63, 95% CI=1.32-2.03) were related to willingness (P<0.05).Conclusion · Elders in Shanghai have a relatively high level of willingness to enroll in nursing homes, especially the elders aged from 60 to 69. Shame and adaptability of elders, and the services provided by nursing homes were the predictors of the elders' willingness.

Under the"New Medicine"context,how to integrate medical engineering technology into modern teaching methods has become a key approach to enhancing the quality and efficiency of medical education.This paper aims to advance medical education and teaching reforms,promote the comprehensive improvement in the quality of higher education,and focus on enhancing the quality of medical talent cultivation.For this purpose,the authors proposed an innovative intelligent classroom teaching model,based on artificial intelligence technology.This model utilized advanced camera technology to capture students'facial expressions in real-time,combining artificial intelligence algorithms to analyze students'understanding of medical concepts,and assisted teachers in adjusting classroom teaching strategies in real-time to improve learning effectiveness.This approach has significantly enhanced the overall quality and efficiency of medical education and is of great significance for cultivating versatile medical professionals with high levels of expertise and practical skills.

Objective:To explore a fast and accurate method to diagnose children's pneumonia according to respiratory signals, so as to avoid the cancer induction caused by traditional X-ray examination.Methods:A Mach Zehnder optical fiber sensor was used to build a respiratory signals(RSPs) detection system, and the RSPs of the monitored children were extracted according to the vibration signal generated by the children's lung rales. Preprocessing methods such as the discrete cosine transform(DCT) were used to compress and denoise the RSPs. Multi-feature extraction of RSPs was conducted through signal processing methods such as the Hilbert transform and autoregressive (AR) model spectrum estimation. A support vector machine (SVM) classification model was constructed to classify the collected RSPs.Results:The accuracy rate of the proposed RSP classification of children with or without pneumonia was 94.41%, which was higher than the previous methods.Conclusions:The children's pneumonia diagnosis system based on an optical fiber sensor has a higher detection accuracy, and is expected to be widely used in clinical practice.

Over-expression of glutathione S-transferase(GST)can promote Cisplatin resistance in hepatocellular carcinoma(HCC)treatment.Hence,inhibiting GST is an attractive strategy to improve Cisplatin sensi-tivity in HCC therapy.Although several synthesized GST inhibitors have been developed,the side effects and narrow spectrum for anticancer seriously limit their clinical application.Considering the abundance of natural compounds with anticancer activity,this study developed a rapid fluorescence technique to screen"green"natural GST inhibitors with high specificity.The fluorescence assay demonstrated that schisanlactone B(hereafter abbreviated as C1)isolated from Xue tong significantly down-regulated GST levels in Cisplatin-resistant HCC cells in vitro and in vivo.Importantly,C1 can selectively kill HCC cells from normal liver cells,effectively improving the therapeutic effect of Cisplatin on HCC mice by down-regulating GST expression.Considering the high GST levels in HCC patients,this compound demon-strated the high potential for sensitizing HCC therapy in clinical practice by down-regulating GST levels.

Renal fibrosis is a devastating consequence of progressive chronic kidney disease,representing a major public health challenge worldwide.The underlying mechanisms in the pathogenesis of renal fibrosis remain unclear,and effective treatments are still lacking.Renal tubular epithelial cells(RTECs)maintain kidney function,and their dysfunction has emerged as a critical contributor to renal fibrosis.Cellular quality control comprises several components,including telomere homeostasis,ubiquitin-proteasome system(UPS),autophagy,mitochondrial homeostasis(mitophagy and mitochondrial metabolism),endoplasmic reticulum(ER,unfolded protein response),and lysosomes.Failures in the cellular quality control of RTECs,including DNA,protein,and organelle damage,exert profibrotic functions by leading to senescence,defective autophagy,ER stress,mitochondrial and lysosomal dysfunction,apoptosis,fibro-blast activation,and immune cell recruitment.In this review,we summarize recent advances in un-derstanding the role of quality control components and intercellular crosstalk networks in RTECs,within the context of renal fibrosis.

Clouston syndrome (OMIM #129500), also known as hidrotic ectodermal dysplasia type 2, is a rare autosomal dominant skin disorder. To date, four mutations in the GJB6 gene, G11R, V37E, A88V, and D50N, have been confirmed to cause this condition. In previous studies, the focus has been mainly on gene sequencing, and there has been a lack of research on clinical manifestations and pathogenesis. To confirm the diagnosis of this pedigree at the molecular level and summarize and analyse the clinical phenotype of patients and to provide a basis for further study of the pathogenesis of the disease, we performed whole-exome and Sanger sequencing on a large Chinese Clouston syndrome pedigree. Detailed clinical examination included histopathology, hair microscopy, and scanning electron microscopy. We found a novel heterozygous missense variant (c.134G>C:p.G45A) for Clouston syndrome. We identified a new clinical phenotype involving all nail needling pain in all patients and found a special honeycomb hole structure in the patients' hair under scanning electron microscopy. Our data reveal that a novel variant (c.134G>C:p.G45A) plays a likely pathogenic role in this pedigree and highlight that genetic testing is necessary for the diagnosis of Clouston syndrome.
Humans ; Connexin 30/genetics* ; Connexins/genetics* ; East Asian People ; Ectodermal Dysplasia/pathology* ; Phenotype

Aberrant activation of oncogenic signaling pathways in tumors can promote resistance to the antitumor immune response. However, single blockade of these pathways is usually ineffective because of the complex crosstalk and feedback among oncogenic signaling pathways. The enhanced toxicity of free small molecule inhibitor combinations is considered an insurmountable barrier to their clinical applications. To circumvent this issue, we rationally designed an effective tumor microenvironment-activatable prodrug nanomicelle (PNM) for cancer therapy. PNM was engineered by integrating the PI3K/mTOR inhibitor PF-04691502 (PF) and the broad spectrum CDK inhibitor flavopiridol (Flav) into a single nanoplatform, which showed tumor-specific accumulation, activation and deep penetration in response to the high glutathione (GSH) tumoral microenvironment. The codelivery of PF and Flav could trigger gasdermin E (GSDME)-based immunogenic pyroptosis of tumor cells to elicit a robust antitumor immune response. Furthermore, the combination of PNM-induced immunogenic pyroptosis with anti-programmed cell death-1 (αPD-1) immunotherapy further boosted the antitumor effect and prolonged the survival time of mice. Collectively, these results indicated that the pyroptosis-induced nanoplatform codelivery of PI3K/mTOR and CDK inhibitors can reprogram the immunosuppressive tumor microenvironment and efficiently improve checkpoint blockade cancer immunotherapy.