ObjectiveTo explore an centralized clinical practice teaching model delivered via a summer short-term semester, and to examine its effectiveness on empathy and communication efficacy among undergraduate students majoring in rehabilitation therapy through a mixed-methods design. MethodsFrom June to July, 2025, forty second-year rehabilitation therapy undergraduates from Nanchang Medical College participated in a one-week immersive clinical practice during the summer short-term semester. An action research framework integrating a one-group pre-post experimental design and qualitative research methods were adopted. Quantitative data were collected using the Chinese-Adapted Jefferson Scale of Empathy-Medical Student Version (JSE-HP) to assess changes in empathy. Qualitative data were obtained through semi-structured focus group interviews and structured reflective journals to investigate students' experiences and transformations in empathic cognition, emotional integration and professional identity. ResultsAfter the teaching intervention, students demonstrated significant improvements in the total score of JSE-HP and all subdimensions (perspective taking, compassionate care and standing in the patient's shoes) (t < -3.69, P < 0.01). Qualitative analysis yielded three core themes: reconstruction of clinical reasoning paradigms, emotional-cognitive integration and elevation of professional identity. ConclusionSummer short-term semester clinical practice model, structured around “clinical immersion, narrative reflection, interprofessional collaboration and formative assessment”, effectively facilitates embodied cultivation of empathy. This model not only bridges the gap between theory and clinical practice, but also serves as an educational catalyst for students' transformation from technical performers to humanistic caregivers. It aligns with the core concepts of the World Health Organization rehabilitation competency framework, offering a replicable and scalable approach to advancing systematic reform in medical humanities education.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective:To explore the expression of nectin-4 and vanin-1 in esophageal squamous cell carcinoma(ESCC)and its influence on the malignant biological behaviors of ESCC cells,as well as the underlying mechanisms.Methods:Transcriptome sequencing combined with GO and KEGG enrichment analysis was used to identify the downstream target gene(vanin-1)regulated by nectin-4.The mRNA expression of vanin-1 in ESCC tissues was studied using the Timer2.0 database,and the mRNA and protein expression of vanin-1 in normal esophageal epithelial HET-1 and ESCC cells was detected by qPCR and Western blot,identifying ESCC KYSE-410 and KYSE-510 cells with the most significant differential expression.The expression of vanin-1 in KYSE-410 and KYSE-510 cells was knocked down using siRNA.The effects of vanin-1 knockdown on cell proliferation,migration,and invasion were measured using CCK-8 assay,wound healing assay,and Transwell chamber assay.Furthermore,KEGG and GO enrichment analyses were conducted for vanin-1-related signaling pathways.Immunohistochemistry was performed to compare the expression of vanin-1 between ESCC tissues and adjacent non-tumor tissues.Results:Timer2.0 database analysis and qPCR results showed that vanin-1 was highly expressed in both ESCC tissues and cell lines(both P<0.01).WB assay also confirmed high expression of vanin-1 protein in ESCC cells(P<0.01).siRNA successfully knocked down vanin-1 expression in KYSE-410 and KYSE-510 cells.Knockdown of vanin-1 significantly inhibited the proliferation,migration,and invasion capabilities of KYSE-410 and KYSE-510 cells(P<0.05 or P<0.01 or P<0.001 or P<0.000 1).KEGG and GO enrichment analysis suggested that vanin-1 might function through pathways related to pantothenic acid and coenzyme A synthesis metabolism.Immunohistochemistry results indicated that vanin-1 was highly expressed in ESCC tissues(P<0.000 1).Conclusion:Vanin-1 is highly expressed in ESCC tissues and promotes the proliferation,migration,and invasion of KYSE-410 and KYSE-510 cells through the nectin-4/vanin-1 axis.Targeting vanin-1 might offer a new therapeutic strategy for ESCC.

Objective:To examine frailty in residents aged over 50 in the Chengdu community, investigate the risk factors linked to frailty, and analyze the impact of exercise habits on frailty.Methods:This retrospective study utilized a stratified whole-sample method to select Chengdu residents aged over 50 from 6 communities.Relevant information was collected through face-to-face interactions using a self-developed frailty questionnaire between May 2022 and May 2023.Exercise habits were defined as engaging in physical activity more than three times a week for at least 30 minutes per session, consistently maintained for a minimum of five years prior to the survey.The frailty index(FI)was established based on the multiple-deficit cumulative model.Respondents were classified into categories of no frailty(FI<0.1), mild frailty(0.1 ≤ FI<0.2), and moderate-severe frailty(FI≥0.2).Univariate and multivariate logistic regression analyses were conducted to investigate the factors influencing frailty and to compare the prevalence and progression of frailty among individuals with and without exercise habits across different age groups.Results:A total of 999 participants, comprising 483(48.3%)males and 516(51.7%)females, were enrolled in the study.The average age of the participants was 65.70±9.61 years.Among them, 346(34.6%)were classified as having mild frailty, while 107(10.7%)had moderate-severe frailty.Univariate analysis revealed that age, gender, marital status, education, smoking, alcohol consumption, and exercise habits were potential factors influencing frailty( P<0.05).Multifactorial logistic regression models indicated that individuals aged 70-79 and 80-85 were predictors of mild and moderate-severe frailty, respectively.Being female was identified as an independent risk factor for both mild frailty( OR: 1.196; 95% CI: 1.262-3.073)and moderate-severe frailty( OR: 2.721; 95% CI: 1.282-5.774).Additionally, not engaging in regular exercise was associated with an increased risk of mild frailty( OR: 1.588; 95% CI: 1.149-2.193)and moderate-severe frailty( OR: 3.186; 95% CI: 1.819-5.583).Statistical analysis revealed significant differences in frailty distribution and frailty index changes between individuals with and without exercise habits over the age of 60( P<0.05). Conclusions:Age and gender were found to be closely associated with frailty, with the impact of exercise habits on frailty becoming more pronounced after the age of 60.Encouraging middle-aged and older individuals to adopt regular exercise routines can play a significant role in promoting healthy aging in China.

Aim To investigate the effect of circRNF13 on oxaliplatin resistance in colorectal cancer cells and its related mechanism.Methods Cell transfection was used to overexpress circRNF13 in oxaliplatin-sensi-tive colorectal cancer cells SW620 or to inhibit cir-cRNF13 expression in oxaliplatin-resistant colorectal cancer cells SW620/OXA.Real-time quantitative fluo-rescent PCR(qRT-PCR)was used to detect the ex-pression levels of circRNF13,miR-16-5p,and mir-324-5p.Cell Count Kit 8(CCK-8)was used to meas-ure cell viability.Clonal formation experiments were used to measure clonal formation number.Western blot was used to detect CyclinD1,PCNA,Bax,Bcl-2 and cleaved caspase-3 protein expression level.Flow cy-tometry and in situ end labeling(TUNEL)were used to detect apoptosis.Dual luciferase assay was used to verify the targeting relationship between circRNF13 and miR-16-5p and mir-324-5p.Results The expression level of circRNF13 in SW620/OXA cells was signifi-cantly higher than that in SW620 cells,while the ex-pression levels of miR-16-5p and miR-324-5p were sig-nificantly lower than those in SW620 cells(P＜0.05).Overexpression of circRNF13 significantly in-creased the IC50 of oxaliplatin against SW620 cells,and inhibition of circRNF13 expression significantly decreased the IC50 of oxaliplatin against SW620/OXA cells.Overexpression of circRNF13 significantly in-creased cell viability,clonal formation number,Cy-clinD1,PCNA and Bcl-2 levels of oxaliplatin treated SW620 cells,while significantly decreased apoptosis rate,apoptosis index,Bax and cleaved caspase-3 lev-els(P＜0.05).Inhibition of circRNF13 expression significantly decreased the cell viability,clonal forma-tion number,CyclinD1,PCNA and Bcl-2 levels of ox-aliplatin treated SW620/OXA cells,while significantly increased the apoptosis rate,apoptosis index,Bax and cleaved caspase-3 levels(P＜0.05).circRNF13 tar-geted inhibition of the expression of miR-16-5p and mir-324-5p.Conclusions circRNF13 can increase oxaliplatin resistance in colorectal cancer cells,and the mechanism may be related to the targeted inhibition of circRNF13 on the expression of miR-16-5p,mir-324-5p and other miRNAs.

The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans ; Sarcopenia/physiopathology* ; Obesity/physiopathology* ; Aging/physiology* ; Autophagy/physiology* ; Insulin Resistance ; Comorbidity ; Vitamin D/metabolism* ; Gonadal Steroid Hormones/metabolism* ; Gastrointestinal Microbiome ; Mitochondria ; MicroRNAs

In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*