Objective To investigate the status of coexistence with cancer in young and middle-aged patients with hepatocellular carcinoma(HCC)after receiving interventional therapy,and to analyze the factors influencing the status of coexistence with cancer.Methods Using convenience sampling method,a total of 189 young and middle-aged patients with HCC,who were admitted to a certain grade Ⅲ-A hospital in the Guangxi Zhuang Autonomous Region of China from October 2023 to January 2024,were selected and used as the subjects of research.The general information questionnaire,long-term conditions questionnaire(LTCQ),stress adaptation scale(SAS),and perceived social support scale(PSSS)were used to make the relevant analysis.Results The results of LTCQ analysis showed that in the young and middle-aged HCC patients the mean LTCQ score was(66.28±5.37)points.The multivariate linear regression analysis indicated that age,per capita monthly income of family members,marital status,main caregiver,hepatitis B history,stress adaptability and perceived social support level were the main factors influencing the status of coexistence with cancer(all P＜0.05),explaining 47.0％of the variations.Conclusion The status of coexistence with cancer in young and middle-aged patients with HCC after receiving interventional therapy is at a medium level.Medical workers should implement individualized interventions for patients with different clinical features,so as to improve the quality of life of patients and prevent adverse disease outcomes.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Objective To explore the application effects of a discharge planning service program based on King's Goal Attainment Theory in patients undergoing transcatheter heart valve surgery.Methods Using convenience sampling method,80 patients who underwent transcatheter heart valve surgery at a tertiary comprehensive hospital in Zhejiang Province from August 2023 to January 2024 were selected as the research subjects.Among them,40 patients from November 2023 to January 2024 were selected as an experimental group.A discharge preparation service plan for patients undergoing transcatheter heart valve surgery based on King's Goal Attainment Theory was adopted.Totally 40 patients who underwent transcatheter heart valve surgery from August to October 2023 were selected as a control group and underwent routine measures for discharge preparation.The differences in the scores of the discharge preparation scale,discharge guidance quality scale,self-management scale for patients after mechanical heart valve replacement surgery,and unplanned readmission rate were compared between 2 groups before and after intervention.Results During the application of the plan,a total of 2 cases were excluded,and 38 cases were included in the experimental group and 40 cases were included in the control group.After intervention,the experimental group had higher scores in discharge readiness,discharge guidance quality,and self-management ability than the control group,and the differences were statistically significant(P＜0.001).The unplanned readmission rate within 30 days in the experimental group(2.63％)was lower than that in the control group(7.50％),and the difference was not statistically significant(P＞0.05).Conclusion The discharge preparation service plan for patients undergoing transcatheter heart valve surgery based on King's Goal Attainment Theory can improve the discharge preparation,discharge guidance quality,and self-management ability of patients undergoing transcatheter heart valve surgery,and has a positive effect on improving their quality of life.

This study aims to investigate the effect of Lactiplantibacillus plantarum LP12 on obe-sity prevention.In our study,Lactiplantibacillus plantarum LP12 was added to the diet for feed-ing,and the blood biochemistry status of rabbit,as well as the antioxidant effect of serum and liver samples were analyzed by determining the body weight change and feed intake of Japanese White rabbits.The changes in colony structure and abundance were also analyzed by 16S rDNA sequen-cing.The results showed that supplementation of Lactiplantibacillus plantarum LP12 inhibits weight gain,decreases serum glucose and ALT levels,and increases SOD activity in the liver.16S RNA gene sequencing analysis showed that the addition of Lactiplantibacillus plantarum LP12 increases the abundance of Bacteroidetes and Desulfovibrioides at the phylum level,and the supple-mentation of Lactiplantibacillus plantarum LP12 increases the abundance of Muribaculaceae at the genus level.Predictive analysis of microbiota function revealed that the supplementation of Lactiplantibacillus plantarum LP12 positively regulated iron-sulfur clusters and Zn-dependent proteases.In conclusion,the addition of Lactiplantibacillus plantarum effectively inhibits weight gain in Japanese White rabbits,enhances the antioxidative activity of the liver,and induces altera-tions in the gut microbiota composition of these rabbits.These findings lay an experimental foun-dation for further exploring the mechanisms by which Lactobacillus plantarum LP12 exerts its preventive effects against obesity and promotes metabolic health.

This study investigates the pharmacokinetics and metabolic characteristics of three marine-derived piericidins as potential drug leads for kidney disease: piericidin A (PA) and its two glycosides (GPAs), glucopiericidin A (GPA) and 13-hydroxyglucopiericidin A (13-OH-GPA). The research aims to facilitate lead selection and optimization for developing a viable preclinical candidate. Rapid absorption of PA and GPAs in mice was observed, characterized by short half-lives and low bioavailability. Glycosides and hydroxyl groups significantly enhanced the absorption rate (13-OH-GPA > GPA > PA). PA and GPAs exhibited metabolic instability in liver microsomes due to Cytochrome P450 enzymes (CYPs) and uridine diphosphoglucuronosyl transferases (UGTs). Glucuronidation emerged as the primary metabolic pathway, with UGT1A7, UGT1A8, UGT1A9, and UGT1A10 demonstrating high elimination rates (30%-70%) for PA and GPAs. This rapid glucuronidation may contribute to the low bioavailability of GPAs. Despite its low bioavailability (2.69%), 13-OH-GPA showed higher kidney distribution (19.8%) compared to PA (10.0%) and GPA (7.3%), suggesting enhanced biological efficacy in kidney diseases. Modifying the C-13 hydroxyl group appears to be a promising approach to improve bioavailability. In conclusion, this study provides valuable metabolic insights for the development and optimization of marine-derived piericidins as potential drug leads for kidney disease.
Animals ; Male ; Mice ; Aquatic Organisms/chemistry* ; Biological Availability ; Cytochrome P-450 Enzyme System/metabolism* ; Glucuronosyltransferase/metabolism* ; Microsomes, Liver/metabolism* ; Molecular Structure ; Biological Products/pharmacokinetics* ; Pyridines/pharmacokinetics*

Under the Healthy China strategy, the training of preventive medicine professionals should conform to the development of the times and the needs of public health. The article analyzed the problem of "disconnection between medical care and prevention" in teaching the course of Obstetrics and Gynecology for students majoring in preventive medicine, and proposed to strengthen the strategy of "integration of medical care and prevention". Guided by the concepts of "Comprehensive Health", with the cornerstone of cultivating morality and talents, the reform focused on enhancing the post competency of preventive medicine talents. Course content was optimized by reinforcing prevention-focused elements, student-centered teaching method innovation was advocated, and simulation-based training teaching system was established. Moreover, projects integrating science and education were used to improve faculty teaching capacity with tiered and diversified approaches. Course assessment methods were revised and "ideological and political education" was incorporated to establish the education concept of "emphasis on prevention and integration of medical care and prevention". The survey showed that these reform measures effectively improved the comprehensive clinical literacy of preventive medicine students in obstetrics and gynecology, which is of great significance for building a "integration of medical care and prevention" public health talent training model. In the future, the long-term effectiveness of course reform will be ensured from the perspectives of teaching resources, personnel investment, and policy support.

Objective To compare the effects of nalbuphine combined with etomidate and nalbuphine combined with propofol in painless colonoscopy for elderly patients with hypertension. Methods Elderly patients with hypertension who underwent painless colonoscopy in the Department of Anesthesiology of Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University from August 2022 to February 2023 were selected and randomly divided into three groups: nalbuphine combined with etomidate group (E group), nalbuphine combined with propofol group (P group), and the nalbuphine combined with etomidate and propofol group (EP group). The primary endpoint was the incidence of hypotension during anesthesia. Secondary endpoints included mean arterial pressure (MAP), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) at five time points: before anesthesia (T₀), before colonoscopy (T₁), 5 minutes after colonoscopy (T₂), at the end of the examination (T₃), upon leaving the post-anesthesia care unit (PACU, T₄). Additionally, examination time, awakening time, Ramsay score, and adverse reactions were compared among the three groups. Results A total of 180 patients were included in the analysis, with 60 cases in each group. The incidence of hypotension was 11.7%, 55.0%, and 33.3% in the E group, P group, and EP group, respectively. The incidence of hypotension in the E group was lower than that in the P and EP groups (P＜0.05). At T₁, T₂, T₃, and T₄, MAP, SBP, and DBP in the E group were significantly higher than those in the P and EP groups (P＜0.05). There were no statistically significant differences among the three groups in awakening time, Ramsay score, or incidence of adverse reactions. Conclusions Compared with nalbuphine combined with propofol, nalbuphine combined with etomidate for painless colonoscopy in elderly patients with hypertension resulted in a lower incidence of hypotension, less impact on hemodynamics, and higher safety.

Objective : To investigate the effects of cinnamaldehyde(CA) on the growth, metastasis and apoptosis of human endometriosis(EMs) cells and to explore whether the mechanism is related to ribosomal protein S7(RPS7) expression. Methods : Endometriosis cells were divided into control group, CA group, sh-NC group, CA+sh-RPS7 group. Effects of CA on cell growth in human endometriotic cells were determined using Cell Counting Kit-8(CCK-8) and colony formation assay. Effects of CA on cell metastasis were performed by motility assay and Transwell assay. Effects of CA on cell apoptosis were evaluated by Hoechst 33258 staining and flow cytometry. Meanwhile, the levels of PCNA, E-cadherin, Vimentin, Bax and Bcl-2 were evaluated using Western blot in human endometriotic cells with treatment CA. The expression of RPS7 was detected by qRT-PCR and Western blot assay. The RPS7 overexpression of human endometriotic cells was established by cell transfection. CA-mediated effects on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry in human endometriotic cells with RPS7 overexpression. Results : CA repressed cell growth as well as down-regulated PCNA. The half inhibitory concentration(IC50) value was 53.60 μmol/L after 24 h treatment, and colony formation rate was 25.32%. Additionally, CA inhibited metastasis which was associated with downregulated Vimentin and upregulated E-cadherin. The relative migration rates were 35% and 29% as well as invasion rate was 40%. Further, CA induced apoptosis by cell cycle G2/M phase arrest and cell apoptosis rate was 25.1%, which related to the up-regulation of of Bax and the down-regulation of Bcl-2. CA inhibited the expression of RPS7 and overexpression of RPS7 promoted cell proliferation and suppressed apoptosis in CA-mediated cells. Conclusion CA inhibits cell growth, metastasis, and induces cell apoptosis by downregulating the expression of RPS7.

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.