ObjectiveTo explore the driving forces for oncology nurses’ participation in palliative care work， thereby providing a theoretical basis for the improvement of education and training， incentive mechanisms， and other aspects of the palliative care nursing staff. MethodsEmploying a qualitative research method， semi-structured interviews lasting 40-60 minutes were conducted with 14 nurses who had participated in palliative care work. The interview data were analyzed using the Colaizzi seven-step analysis method. ResultsInternal positive driving forces were job interest， empathy， and a sense of professional responsibility， while the negative was low psychological resilience. External positive driving forces included high work support， professional identity， mutual benefits for nurses and patients， and positive patient attitudes， whereas negative driving forces comprised busy routine clinical work， lack of a reward and incentive system， and bland or negative patient attitudes. ConclusionIt is essential to provide a flexible platform for the enhancement of nurses’ professional capabilities in palliative care， intensify the publicity of palliative care and death education； intervene and guide nurses’ negative emotions， improve and implement relevant incentive systems， and standardize the job recognition and scope of responsibilities of palliative care nurses.

Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.

Objective: To investigate the current status and trends of depressive symptoms among middle school and college students in Hunan Province, and to explore the primary related factors of depressive symptoms, so as to provide a scientific basis for strengthening mental health among students. Methods: A total of 279 382 students in Hunan Province were selected through a stratified cluster random sampling method from 2021 to 2023. National Survey Questionnaire on Common Diseases and Health Influencing Factors among Students was adopted for the survey, and the Center for Epidemiological Studies Depression Scale was used to assess their depressive symptoms. The χ 2 test and trend χ 2 test were used to analyze depressive symptoms prevalence and trends, and multivariable Logistic regression was used to analyze the related factors of depressive symptoms. Results: The prevalence of depressive symptoms among students in Hunan Province from 2021 to 2023 were 19.66%, 20.17% and 21.47%, respectively, showing an upward trend ( χ 2 trend =9.07, P <0.01). In addition, the results of the multivariable Logistic regression analysis showed that students with healthy diet ( OR=0.43, 95%CI =0.40-0.45), adequate sleep ( OR=0.88, 95%CI =0.86-0.90), and acceptable screen time ( OR=0.61, 95%CI =0.60-0.62) had lower risks in depressive symptoms detection, while students with smoking ( OR= 1.95, 95%CI =1.88-2.02), secondhand smoke exposure ( OR=1.33, 95%CI =1.30-1.36) and Internet addiction ( OR= 4.19 , 95%CI =4.05-4.34) had higher risks in depressive symptoms detection, with differences in the degree of association among different genders, educational stages and urban rural groups ( OR=0.40-6.04, Z =-12.69-11.98) ( P <0.05). Conclusions There is an increasing trend of depressive symptoms among middle school and college students in Hunan Province from 2021 to 2023.Targeted depression prevention measures should be taken for students with different demographic characteristics to promote their mental health.

Pinellia ternata， belonging to the Pinellia genus within the Araceae family， is a medicinal plant due to its tubers. There are severe issues with unclear germplasm and mixed varieties in its cultivation， necessitating urgent new variety protection efforts. The distinctness， uniformity， and stability （DUS） testing of the plant variety is the basis for protecting new plant varieties， and the DUS test guidelines are the technical basis for DUS testing. To develop the DUS test guidelines for P. ternata， agronomic traits of 229 germplasm of P. ternata were observed and measured during its two growth stages over the years， and each character was graded and described. A total of 38 traits were selected as the test traits of the DUS test guideline for P. ternata. There were three plant traits， 19 leaf traits， six flower traits， two fruit traits， two tuber traits， five bulbil traits， and one ploidy trait. These traits could be divided into 22 quality characters， 12 quantitative characters， and four pseudo-quantitative characters， as well as seven groups， including plants， leaves， flowers， fruit， tubers， bulbils， and ploidy. By searching for standard traits， 10 standard varieties were ultimately determined. Preparing these guidelines will have great significance for reviewing and protecting P. ternata varieties， safeguarding breeders' rights， and promoting the development of the P. ternata industry.

Dental caries,a chronic disease characterized by tooth decay,occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria,especially Streptococcus mutans,because of its acidogenic,aciduric,and biofilm-forming capabilities.Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents.The current study represents an up-to-date review of in silico approaches of drug design against dental caries,which have emerged more and more powerful complementary to biochemical attempts.Firstly,we categorize the in silico approaches into computer-aided drug design(CADD)and AI-assisted drug design(AIDD)and highlight the specific methods and models they contain respectively.Subsequently,we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S.mutans,such as glucosyltransferases(Gtfs),antigen Ⅰ/Ⅱ(AgⅠ/Ⅱ),sortase A(SrtA),the VicRK signal transduction system and superoxide dismutases(SODs).Finally,we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.

OBJECTIVE To investigate the role and mechanism of paeonol in inhibiting the migration of bladder cancer T24 cells by regulating nuclear factor κB(NF-κB)/hypoxia-inducible factor-1α(HIF-1α)-mediated aerobic glycolysis.METHODS T24 cells were divided into control group,cisplatin group(positive control,3.001 μg/mL),and paeonol low-,medium-and high-dose groups(100,200,400 μg/mL),respectively.After 24 h of administration intervention,the effect of paeonol on the migration ability of T24 cells was detected(expressed by the cell scratch wound healing rate).The effect of paeonol on the mitochondrial membrane potential of T24 cells was detected(expressed by the ratio of red/green fluorescence intensity).Cellular adenosine triphosphate(ATP)levels and lactate content in T24 cells were measured.The levels of NF-κB/HIF-1α signaling pathway,the expression of migration-related proteins,and key enzymes involved in aerobic glycolysis in the cells were all determined.RESULTS Compared with the control group,the cell scratch wound healing rates in the paeonol medium-and high-dose groups and the cisplatin group were decreased significantly(P＜0.01);in the paeonol groups,the expression levels of NF-κB/HIF-1α signaling pathway-related proteins such as NF-κB and HIF-1α,migration-related proteins such as matrix metalloproteinase 2(MMP2),MMP9,and vascular endothelial growth factor,as well as key enzymes involved in aerobic glycolysis such as glucose transporter 1,hexokinase 2 and pyruvate kinase isozyme type M2,were all reduced to varying degrees in the cells,most of these reductions showed statistically significant differences(P＜0.05 or P＜0.01);the ratio of red/green fluorescence intensity in mitochondria of cells in the medium-and high-dose paeonol groups were significantly decreased(P＜0.01);the ATP concentration in cells of the paeonol high-dose group,and the lactate content in cells across all paeonol groups were significantly decreased(P＜0.05 or P＜0.01).CONCLUSIONS Paeonol significantly inhibits the migration of bladder cancer T24 cells,and its mechanism of action may be related to the inhibition of the NF-κB/HIF-1α signaling pathway,and the down-regulation of key enzyme activities involved in aerobic glycolysis.

Gaucher disease is an autosomal recessive genetic disorder, with membranoproliferative glomerulonephritis (MPGN) being a rare complication. Here we present a case of type I Gaucher disease complicated with MPGN to improve the understanding of this disease. For patients presenting with abdominal distension, hepatosplenomegaly and myelofibrosis, Gaucher disease should be considered to avoid misdiagnosis and inappropriate treatment. The detection of β-glucosidase, genetic mutation analysis and histopathological examination can play crucial roles in the diagnosis of Gaucher disease. Treatment with glucocorticoids combination with immunosuppressants can improve patient's prognosis.

Objective:To analyze the association between moderate-to-vigorous-physical activity (MVPA) and obesity, poor sleep quality, as well as multimorbidity in 7- to 8-year-old children in Shanghai City.Methods:From September to November 2023, a cluster sampling method was used to select second-grade students from four primary schools in Jinshan District, Shanghai. Three-axis acceleration motion sensors (GT3X+, Acti-graph) were used to monitor daily physical activity for seven consecutive days. A multivariate logistic regression model was used to analyze the association between MVPA duration characteristics and obesity, poor sleep quality and multimorbidity in school-age children.Results:Of the 937 study participants, 512 (54.64%) were boys and 425 (45.36%) were girls. Among them, 89 (9.50%) were obese and 782 (83.46%) had poor sleep quality. A total of 77 cases (8.22%) were affected by obesity and poor sleep quality. The average daily MVPA time was (45.97±15.87) minutes, and the MVPA attainment rate was 17.18%. The multivariate logistic regression model analysis showed that, after adjusting for covariates, the daily average MVPA time was negatively associated with the risk of obesity ( OR=0.982, 95% CI: 0.968-0.997), as well as multimorbidity ( OR=0.981, 95% CI: 0.965-0.997). The risk of obesity, poor sleep quality and multimorbidity in <1 d was 2.228 ( OR=2.228, 95% CI: 1.398-3.549), 1.702 ( OR=1.702, 95% CI: 1.141-2.540) and 2.150 ( OR=2.150, 95% CI: 1.310-3.528) times higher than that in ≥1 d. Conclusion:Obesity, poor sleep quality and multimorbidity of school-age children are closely related to the level of moderate-to-vigorous physical activity.

To investigate the mutations of NF1 and clinical phenotypes in patients with sporadic neurofibromatosis type 1 (NF1). This is aimed to evaluate the efficacy of high-throughput sequencing in diagnosing atypical cases, to expand the mutational spectrum of NF1, and to provide early diagnosis of NF1. Clinical data from 11 sporadic NF1 patients without family history treated at the Fifth Affiliated Hospital of Sun Yat-sen University (2019-2023) were collected. The mutations of NF1 gene were detected using whole-exome sequencing or chip-capture high-throughput sequencing, followed by bioinformatics analysis. Novel mutations were screened against normal population databases to exclude benign polymorphisms, and pathogenicity of the mutations was classified according to ACMG guidelines. The results showed that two novel frameshift mutations were identified: c.7904del (p.Asp2635Valfs*9) and c.5122_5123del (p.Phe1708Hisfs*9). The patient carrying c.7904del exhibited an undocumented phenotype of posterior medullary ischemic degeneration. Among the 11 NF1 patients, the types of mutations included frameshift (4/11), nonsense (3/11), intronic (2/11), splicing (1/11), and start codon variants (1/11). Common phenotypes were cafe-au-lait macules (8/11) and neurofibromas (6/11), yet significant phenotypic heterogeneity existed among patients sharing identical mutations. In conclusion, this study discovered two novel NF1 mutations and an unreported phenotype, expanding both the NF1 mutational spectra and highlights the need for attention to cerebrovascular status in patients carrying NF1 mutations. High-throughput sequencing significantly enhances molecular diagnostic efficacy for atypical NF1, providing a critical basis for clinical NF1 diagnosis.

Gaucher disease is an autosomal recessive genetic disorder, with membranoproliferative glomerulonephritis (MPGN) being a rare complication. Here we present a case of type I Gaucher disease complicated with MPGN to improve the understanding of this disease. For patients presenting with abdominal distension, hepatosplenomegaly and myelofibrosis, Gaucher disease should be considered to avoid misdiagnosis and inappropriate treatment. The detection of β-glucosidase, genetic mutation analysis and histopathological examination can play crucial roles in the diagnosis of Gaucher disease. Treatment with glucocorticoids combination with immunosuppressants can improve patient's prognosis.