With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

With the accelerating aging of the population, the proportion of elderly patients with lung cancer continues to rise, presenting multiple challenges to perioperative management. This paper systematically reviews the clinical characteristics of elderly lung cancer patients. Based on the comprehensive geriatric assessment, it proposes incorporating seven major geriatric syndromes—frailty, delirium, sarcopenia, cognitive impairment, malnutrition, dysphagia, and mood disorders—into the core evaluation system. By integrating multimorbidity management with complication prevention and control, an integrated "geriatric syndrome-multimorbidity-complication" perioperative management model is constructed. Furthermore, this paper outlines stratified intervention strategies for geriatric syndromes, a "five-step" workflow for comorbidity management, and a comprehensive intervention pathway for complications across the preoperative, intraoperative, and postoperative phases. Multidisciplinary team (MDT) collaboration serves as the core mechanism to achieve individualized comprehensive treatment. This paper aims to provide a novel perioperative comprehensive treatment model for elderly lung cancer patients, which is centered on geriatrics, supported by multidisciplinary collaboration, and guided by precision medicine.

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

Objective: To establish an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method based on solid-phase extraction column purification for simultaneous determination of cyromazine and melamine in poultry eggs and meat. Methods: Eggs, quail eggs, and chicken were collected from markets. After homogenization, the sample was extracted with 0.5% formic acid in acetonitrile, subjected to solid-phase extraction using an MCX cartridge, and eluted with 5% ammonia in methanol. The eluate was collected, evaporated to near dryness under nitrogen, and reconstituted in a 10% aqueous methanol solution. Separated using TSK gel Amide-80 column (2.0 mm×150 mm, 5 μm), cyromazine and melamine were simultaneously detected in positive ion multiple reaction monitoring mode via tandem mass spectrometry, with quantification achieved by isotope dilution internal standard methods. Efficiency was enhanced and matrix interference minimized by optimizing conditions such as sample extraction, solid-phase extraction cartridge selection, and instrumental parameters. Calibration curves were constructed, and detection limits, quantification limits, spiked recoveries, and relative standard deviations for (RSD) of cyromazine and melamine were calculated. Results: After method optimization, matrix effects for cyromazine and melamine ranged from 0.97 to 1.04, indicating no significant matrix suppression or enhancement. Both cyromazine and melamine exhibited excellent linearity within the concentration range of 1.0-200.0 ng/mL, with correlation coefficients &ge;0.999 5. The limits of detection were 0.3 μg/kg for cyromazine and 0.5 μg/kg for melamine, the quantification limits were 1.0 and 1.5 μg/kg, respectively. At spiked levels of 1.0, 20.0, and 150.0 μg/kg, the average recoveries ranged from 78.6% to 103.1%, with RSD between 3.5% and 6.3%. Among 95 samples tested, cyromazine was detected in 6 samples and melamine in 5 samples; neither cyromazine nor melamine was detected in chicken samples. Conclusion The UPLC-MS/MS method established in this study enables simultaneous detection and accurate quantification of cyromazine and melamine in poultry eggs and meat.

Advances in genomics,biochemistry,and genetics have deepened our understanding of epigenetic mechanisms.These mechanisms play a crucial role in life,heredity,and evo-lution.Their growing significance is driving biomedical research toward personalized and precise medicine.Renal diseases,par-ticularly chronic kidney disease and acute kidney injury,require new treatment strategies.Their subtle clinical symptoms and challenges in early diagnosis limit current therapeutic options.Research on epigenetic modifications in renal diseases is expan-ding rapidly.This field is emerging as a promising approach for kidney disease treatment.The transition from basic mechanistic studies to clinical applications is underway.Epigenetic modifica-tions hold great potential for improving early diagnosis,enabling personalized treatment,and advancing precision medicine in re-nal diseases.

Objective:To explore the effectiveness of the scaffolding teaching mode from the perspective of deep learning in basic nursing techniques course.Methods:From September 2023 to June 2024, 324 nursing students at Suzhou Vocational Health College in the 2023 cohort were selected as research subjects using convenience sampling. Three classes were designated as experimental group ( n=167), and three classes were designated as control group ( n=157). Control group received the traditional teaching mode, while experimental group received a scaffolding teaching mode from the perspective of deep learning on the basis of control group. Teaching effectiveness was evaluated using course grades, the Academic Self-Efficacy Scale, and the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates. Results:A total of 324 questionnaires were distributed and 324 valid questionnaires were collected, with a valid response rate of 100.00% (324/324). After teaching, the experimental group's nursing course grades were statistically higher than those of the control group ( P<0.05). After teaching, the experimental group's nursing students demonstrated statistically higher total scores and scores across all dimensions on the Academic Self-Efficacy Scale compared to the control group ( P<0.01). After teaching, the experimental group of nursing students scored statistically higher than the control group on the total score of the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates, as well as on the dimensions of self-management and learning cooperation ability ( P<0.01) . Conclusions:The implementation of the scaffolding teaching mode from the perspective of deep learning for basic nursing techniques course enhances vocational nursing students' academic performance, academic self-efficacy, and autonomous learning competencies.

Aim To investigate the protective effect of Vaccarin(Va)on epithelial-mesenchymal transition(EMT)in renal fibrosis model mice through regulating STAT3,and the underlying mechanism.Methods Left ureter ligation was used to establish a mouse model of unilateral ureteral obstruction(UUO);human kid-ney tubular epithelial(HK2)cells were induced to differentiate by transforming growth factor-β(TGF-β)in vitro.HE and Masson staining were used to observe the morphological changes of renal tissue;kits were used to detect the levels of BUN,Cr,IL-1β and IL-7 in mouse serum;CCK-8 was used to detect the effect of Va on the viability of HK2 cells;RT-PCR was used to detect the levels of inflammatory factors in HK2 cells;Western blot was used to detect the expression of STAT3,p-STAT3,E-cadherin,and α-SMA proteins in renal tissue and HK2 cells;to further investigate the regulation of Va on STAT3,JAK/STAT3 pathway acti-vator RO8191 was used to treat TGF-β-induced HK2 cells,and functional loss was detected.Results Va improved the pathological damage in UUO mice,inhibi-ted the levels of BUN,Cr and inflammatory factors;Va inhibited the phosphorylation of STAT3,upregulated E-cadherin,and downregulated α-SMA protein expres-sion;RO8191 counteracted the inhibitory effect of Va on the phosphorylation of STAT3.Conclusions Va inhibits the phosphorylation of STAT3 and the release of inflammatory factors,improves EMT,thus exerting an anti-renal fibrosis effect.

Aim To investigate the effects of circ_0071653 targeting miR-197-3p on the proliferation and metastasis of esophageal squamous cell carcinoma(ES-CC)cells.Methods The circular structure of circ_0071653 was confirmed by Sanger sequencing and ribo-nuclease R tolerance experiments.Real-time quantita-tive polymerase chain reaction(RT-qPCR)and tissue fluorescence in situ hybridization assay were performed to detect the circ_0071653 expression levels and ana-lyze its clinical relevance.Cell fluorescence in situ hy-bridization and nuclear cytoplasmic separation assays were used to verify the subcellular localization of circ_0071653 and miR-197-3p.Bioinformatics analysis,dual luciferase reporter gene and RT-qPCR assays were conducted to validate the interactions between circ_0071653 and miR-197-3p.Moreover,the cell counting Kit-8(CCK-8),colony formation,scratch,Transwell invasion and subcutaneous tumor formation in nude mice assays were used to evaluate the effects of circ_0071653 and miR-197-3p on cell viability,prolifera-tion,migration,and invasion and in vivo tumorigenesi-sability.Results Circ_0071653 was a circular RNA,which showed high expression in ESCC cell lines and tissues.The expression of circ_0071653 was signifi-cantly correlated with lymph node metastasis and clini-cal stage of ESCC patients.Circ_0071653 and miR-197-3p were mainly localized in the cytoplasm.The databases predict that circ_0071653 had complementa-ry binding sites with miR-197-3p,and their binding were confirmed by dual luciferase reporter geneand RT-qPCR assays.Moreover,the activity,proliferation,migration,invasion and in vivo tumorigenesis abilities of ESCC cells were significantly reduced after knocking down circ_0071653,and this effect could be reversed by downregulating the expression of miR-197-3p.Con-clusions Circ_0071653 promotes the malignant pro-gression of ESCC through targeted regulation of miR-197-3p.

Objective To investigate the changes in oral microbiota of db/db mice and provide an experimental basis for exploring the relationship between type 2 diabetes mellitus and oral microecology.Methods Eight 10-week-old male db/db mice were designated as the diabetes experimental group(db/db group),while eight 10-week-old male db/m mice were assigned as the normal control group(db/m group).After a 5-day adaptive feeding period,tail venous blood samples were collected on the 6th and 37th days,and fasting blood glucose(FBG)levels and oral glucose tolerance test(OGTT)were performed for both groups to verify the reliability of the diabetes model.On the 15th day of feeding with the same diet,oral microbiota samples were collected from the buccal mucosa,dorsal and ventral tongue surfaces,oral floor mucosa,hard palate mucosa,and the gingival areas of both the upper and lower jaws of the two groups.Genomic DNA from the oral microbiota was extracted,and the V3-V4 regions of the 16S ribosomal RNA(16S rRNA)gene were amplified using a GeneAmp 9700 thermocycler.The composition of the oral microbiota was evaluated through double-labelled amplification and sequencing on the Illumina MiSeq platform,followed by bioinformatics analysis using QI I ME software(version 1.6.0).Results The FBG levels and OGTT results on the 6th and 37th days after the start of the experiment indicated that db/db mice exhibited more pronounced symptoms of type 2 diabetes compared to db/m mice.Alpha diversity(αdiversity)analysis showed no significant difference in the diversity of oral microbiota between the two groups(P＞0.05);however,there was a significant difference in richness(P＜0.05).Principal coordinate analysis(PCoA)revealed differences in the oral microbiota composition between the db/db group and db/m group(P＜0.05).Species composition analysis and LEfSe analysis demonstrated that the relative abundance of oral microbiota in db/db group mice,predominantly composed of p_Proteobacteria,increased significantly at the phylum level(P＜0.05).At the genus level,the relative abundances of g_Proteus and g_Enterococcus showed a significant increase(P＜0.001).Conclusion The composition and diversity of oral microbiota in db/db mice with type 2 diabetes mellitus significantly differed from those without the disease.

Mesoporous carbon nanoparticles (MCNs) have received considerable attention for biomedical applications due to their unique structural features, including high specific surface area, adjustable pore size, and remarkable biocompatibility. These properties have addressed key challenges such as inefficiencies in drug loading and release, minimizing the side effects associated with conventional treatments. In this review, the classification and the research progress of MCNs are summarized firstly, the preparation and modification techniques to enhance their functionality and properties are further reviewed, the main physicochemical properties are introduced as well, highlighting their contributions to MCNs in applications. In addition, the biomedical applications of MCNs are emphasized, including tumor therapy, tumor theranostics, antibacterial, delivery of active molecules and biological detection. Finally, the prospects and challenges of clinical application based on MCNs are analyzed to provide an effective reference and lay the foundation for further research.