Objective To explore the predictive effect of serum 25-hydroxyvitamin D3 [25(OH)D3] and blood lipid metabolism indexes on the occurrence of osteoporosis in type 2 diabetes mellitus (T2DM). Methods Totally 98 patients with T2DM in the hospital from January 2022 to January 2024 were classified into osteoporosis group (38 cases) and non-osteoporosis group (60 cases) by means of concurrent osteoporosis status. The levels of serum 25(OH)D3 and blood lipid metabolism indexes [high density lipoprotein (HDL), total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), VLDL] were measured in study subjects. The association of serum 25(OH)D3 and blood lipid metabolism indexes with osteoporosis was explored by Logistic regression analysis. The predictive value of serum 25(OH)D3 and blood lipid metabolism indexes on osteoporosis was analyzed by receiver operating characteristic curve (ROC). Results Serum 25(OH)D3 and HDL levels in the osteoporosis group were lower while TG and LDL levels were higher than those in the non-osteoporosis group (P<0.05). The differences in the levels of TC and VLDL were insignificant between groups (P>0.05). After logistic regression analysis, the levels of serum 25(OH)D3, HDL, TG and LDL were closely related to the occurrence of osteoporosis (P<0.05). ROC curve indicated that the area under the curve (AUC), sensitivity and specificity of combined prediction of osteoporosis by serum 25(OH)D3, HDL, TG, and LDL were 0.943, 92.11% and 85.00%, and the efficiency of combined prediction was better than that of each index alone (P<0.05). Conclusion The levels of serum 25(OH)D3, HDL, TG and LDL in T2DM are closely related to osteoporosis. Early combined monitoring of the indicators can provide reference value for clinical prediction of osteoporosis occurrence in patients with T2DM.

Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Neurodegenerative diseases are a group of chronic progressive diseases characterized by inflammation,degenera-tion and apoptosis.Chronic neuroinflammation is gradually becoming a potential pathogenic and predisposing factor.As a widely expressed non-histone nucleoprotein,HMGB1 participates in inflammatory process of human body through receptors of advanced glycation end products and Toll-like receptors while maintaining chromosome homeostasis.As a key factor of neuroinflammation,HMGB1 is widely involved in development of neurodegenerative diseases and may become a biomarker and a potential therapeutic target of neurodegenerative diseases.This article reviews the role of HMGB1 in neurodegenerative diseases and tries to provide ground-work for basic research and clinical application for targeting HMGB1 in the treatment of neurodegenerative diseases.

Malignant peritoneal mesothelioma (MPM), as a highly aggressive primary malignant tumor of the peritoneum, often leads to structural damage and functional impairment of female reproductive organs during its treatment course. This study presents a clinical case of an MPM patient who underwent cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC), subsequently achieving successful live birth through in vitro fertilization and embryo transfer. A comprehensive review of relevant literature was conducted to analyze both the potential benefits and associated risks. While the possibility of successful pregnancy exists for MPM patients following combined CRS and HIPEC treatment, significant clinical risks during the gestational process cannot be overlooked. Current evidence remains limited, necessitating more robust clinical data to substantiate these findings.

Young management talents are the driving force behind the refined management of hospitals and the future and hope of high-quality development.In the context of the new era,high-quality development has become the main theme of reform and development in public hospitals,which puts forward new and higher requirements for the cultivation of young management tal-ents in hospitals.Based on literature research,this article systematically summarizes and explores the concept and characteristics of young management talents in hospitals.Taking Jiangsu Provincial People's Hospital as an example,it actively supports and serves the growth and development of young management talents through specific practices such as optimizing organizational man-agement,improving training systems,strengthening incentive mechanisms,and smoothing development channels.These practices have achieved good results and aim to provide references for the cultivation and development of young management talents in pub-lic hospitals in China.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Monkeypox is a viral zoonotic disease,and there is currently a lack of safe and effective vac-cines against the monkeypox virus.Therefore,screening and developing vaccine candidates is of signifi-cant practical importance.With the rapid advancement of molecular biology and plant genetic engineer-ing,plant bioreactors offer promising potential for producing vaccine proteins due to their advantages,in-cluding safety,cost-effectiveness,and scalability.In this study,we focused on the monkeypox protein B6R.The recombinant expression plasmid pFolia40108-B6R-Fer was successfully constructed using am-plification,enzyme digestion,and flexible linker tandem ferritin technology.A complete transient expres-sion system in Nicotiana benthamiana and a purification system for the recombinant monkeypox protein were established.The optimal expression time was determined to be 12-14 days,with a final purified pro-tein concentration of approximately 1 mg/mL and a yield of 0.85 mg/kg fresh weight.The purified B6R-Fer recombinant protein self-assembled into spherical virus-like particles(VLPs)with an average particle size of 24 nm.The B6R-Fer recombinant protein from this study shows promising potential for use in the development and screening of plant-derived monkeypox vaccine candidates.

Objective To investigate the analgesic effect of ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia after lower abdominal surgery.Methods A total of 134 patients who underwent lower abdominal surgery in General Hospital of Central Theater Command from April 2021 to April 2024 were prospectively selected and randomly divided into the observation group and the control group,with 67 patients in each group.Patients in the observation group received ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia.Patients in the control group underwent only patient-controlled intravenous analgesia.The number of analgesic pump compressions and the cumulative sufentanil consumption 4 hours,6 hours,12 hours,and 24 hours after surgery,the visual analogue score(VAS)of pain at rest and exercise,and the incidence of adverse reactions during postoperative analgesia were compared between the two groups.Results Compared with the control group,the number of analgesic pump compressions and the cumulative sufentanil consumption of patients were fewer/less at 6 hours,12 hours and 24 hours after surgery in the observation group(P<0.05).The VAS scores of patients at exercise 4 hours,6 hours,12 hours and 24 hours after surgery in the observation group were significantly lower than those in the control group(P<0.05).The incidence of nausea,vomiting and vertigo in the observation group was significantly lower than that in the control group(P<0.05).Conclusion Compared with patient-controlled intravenous analgesia,ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia can significantly reduce the number of analgesia pump compressions and the cumulative sufentanil consumption in postoperative analgesia of lower abdominal surgery,and has a better effect in relieving exercise pain,it can also reduce the occurrence of adverse reactions such as nausea and vomiting.