Objective To evaluate the safety and efficacy of a self-developed micro-normothermic machine perfusion (NMP) system (micro-perfusion device) for preserving isolated porcine limbs. Methods Five healthy Landrace pigs were selected, and their left and right forelimbs were randomly divided into the NMP group and static cold storage (SCS) group. The NMP group was perfused with the self-developed micro-perfusion device and polymerized hemoglobin perfusate for 32 hours at normothermia, while the SCS group was preserved at 4 ℃. Hemodynamic parameters such as perfusion pressure and flow were monitored. The pH value, partial pressure of oxygen (PO₂), lactic acid (Lac), creatine kinase (CK) and lactate dehydrogenase (LDH) in the perfusate were measured. Hematoxylin-eosin staining was used to assess the muscle tissue structure, terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling was employed to evaluate muscle cell apoptosis, and immunohistochemistry staining was applied to detect the expressions of tumor necrosis factor (TNF)-α and interleukin (IL)-6. A mixed-effects model was used to analyze the effects of time and treatment methods on tissue structure, cell apoptosis and inflammatory factors. Results The device could stably maintain a perfusion pressure of (69±15) mmHg and a flow rate of (117±42) mL/min. The pH value and electrolytes of the perfusate were generally stable, with PO₂ maintained at a high level. Lac was maintained at 5.38(3.81, 6.45) mmol/L, while CK and LDH increased over time. After 32 hours of perfusion in the NMP group, both the myocyte spacing and apoptosis rate were better than those in the SCS group. Mixed-effects model analysis showed that there were statistically significant differences in the effects of NMP treatment and SCS treatment on myocyte spacing and apoptosis rate per unit time (both P < 0.05). There were no statistically significant differences in TNF-α and IL-6 between the two groups, and mixed-effects model analysis showed no statistically significant differences in the effects of NMP treatment and SCS treatment on TNF-α and IL-6 per unit time (both P > 0.05). Conclusions The micro-perfusion device used in this study may achieve 32-hour normothermic preservation in a porcine limb amputation model, maintain basic metabolism and ionic homeostasis, reduce muscle structural damage and cell apoptosis without inducing additional inflammatory responses. This technology is expected to significantly extend the time window for replantation of amputated limbs in disaster rescue and long-distance transportation, providing an important technical basis for clinical translation and subsequent replantation research.

BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

Objective To assess the clinical value of prognostic nutritional index(PNI)in predicting the prognosis of patients with advanced liver cancer treated with transarterial chemoembolization(TACE)combined with ablation therapy.Methods A total of 112 patients with advanced liver cancer,who received TACE combined with ablation at the Lishui Municipal Central Hospital of China from January 2020 to January 2024,were enrolled in this study.The general data,survival status,and survival time were collected.The Youden index of PNI was calculated using the receiver operating characteristic(ROC)curve model,and the optimal cutoff value was determined.Based on the optimal cutoff value,the patients were divided into low-PNI group and high-PNI group.The progression-free survival(PFS)and overall survival(OS)time were compared between the two groups,and the independent risk factors affecting PFS and OS were analyzed.Results The Youden index for PNI was 0.43,and the optimal cutoff value of PNI was 43.95.The low-PNI group included 65 patients,and the high-PNI group included 47 patients.There were no statistically significant differences in the baseline data between the two groups.The median PFS and the median OS in the high-PNI group were 13.21 months(95％CI=4.37-22.03)and 40.80 months(95％CI=31.55-50.05)respectively,which were longer than 9.20 months(95％CI=6.58-11.82)and 21.37 months(95％CI=16.56-26.17)respectively in the low-PNI group,the differences were statistically significant(both P＜0.05).The 6-month,one-year and 2-year PFS in the high-PNI group was 56.95％,47.25％and 33.87％respectively,which were higher than 43.95％,32.56％and 16.31％respectively in the low-PNI group.The one-year,2-year and 3-year cumulative survival rates in the high-PNI group were 80.77％,66.66％and 39.40％respectively,which were higher than 63.79％,34.31％and 27.75％respectively in the low-PNI group.Multivariate regression analysis indicated that the number of nodules,metastasis and PNI significantly affected OS,and metastasis and PNI strikingly affected PFS.High PNI was a protective factor for both PFS and OS.Conclusion For patients with advanced liver cancer treated with TACE combined with ablation therapy,PNI is an effective indicator for predicting the prognosis.

Objective To explore the application effects of an innovative teaching model(blended 5MP)that organically combines blended teaching and the five-minute teaching method in clinical teaching for operating room nursing students.Methods Using convenience sampling,94 nursing students who interned in operating room of Kunming Children's Hospital from July 2023 to March 2024 were randomly assigned to observation and control groups,with 47 students in each group.For the control group,a traditional blended learning approach was utilized,whereas the observation group implemented a blended 5MP teaching model.Results The observation group's post-class assignment scores,theoretical exam scores,and practical skills assessment scores were all significantly higher than those in the control group,with a statistically significant difference(P<0.05).The observation group also had higher scores in the Self-Assessment of Clinical Reasoning and Reflection Scale,with a statistically significant difference(P<0.05).Furthermore,the observation group reported higher satisfaction rates regarding teaching methods,teaching formats,theoretical instruction,practical instruction,and overall satisfaction compared to the control group,with statistically significant differences(P<0.05).Conclusion The blended approach combines online and offline instructional modalities,allowing for a more strategic allocation of educational resources.This methodology enables students to thoroughly acquire essential knowledge and skills while simultaneously fostering advanced clinical reasoning and reflective competencies.By adopting this innovative educational model,institutions can significantly enhance the academic experience and professional development of nursing students.

ObjectiveTo investigate the relationship between mitochondrial DNA copy number (mtDNAcn) and cognitive dysfunction, and its mediating role between type 2 diabetes mellitus (T2DM) and cognitive dysfunction. MethodsA case-control study was conducted from May 2019 to April 2021 at the Shanghai Yangpu District Central Hospital, China. A total of 193 subjects were recruited and divided into two groups based on the Montreal Cognitive Assessment (MoCA): normal control (NC) group (n=95) and cognitive impairment group (n=98). The prevalence of T2DM was determined on the basis of medical history, while mtDNAcn in peripheral blood samples was quantified using realtime fluorescent quantitative polymerase chain reaction. ResultsUnivariate analyses revealed that the mean mtDNAcn in the cognitive impairment group was 0.76±0.37, significantly lower than that in the NC group (1.06±0.45) (P<0.05). Logistic regression analyses showed that higher mtDNAcn was associated with a reduced risk of cognitive impairment (OR=0.315, 95%CI: 0.125‒0.795). Additionaly, a statistically significant positive correlation was observed between mtDNAcn and the total MoCA score (r=0.381, P<0.01). Morever, T2DM history (OR=2.741, 95%CI: 1.002‒7.497) and elevated glycosylated hemoglobin (HbA1c) levels (OR=1.796, 95%CI: 1.190‒2.711) were identified as risk factors for cognitive impairment. Mediation analyses indicated that mtDNAcn served as a mediator between T2DM/HbA1c and the risk of cognitive impairment, with proportions of mediating effect of 9.04% and 9.18%, respectively. ConclusionPatients with mild and moderate cognitive impairment have significantly lower mtDNAcn than those with normal cognitive function. Reduced mtDNAcn is an influencing factor for cognitive dysfunction and may play a mediating role in the association between T2DM and mild to moderate cognitive impairment.

ObjectiveEndothelial cell dysfunction being the core link. This study explores the molecular mechanism of Danshen Tongluo formula in treating coronary artery disease-dominated panvascular disease with endothelial cell changes as the core through animal experiments and single-cell transcriptome sequencing. MethodsA rat model of coronary artery disease-dominated panvascular disease was established by ligating the left anterior coronary artery. Rats were randomized into a blank group， a model group， and a Danshen Tongluo formula （28 mg·kg^-1·d^-1） group. The efficacy was evaluated by examining the cardiac ultrasound， determination of the plasma level of N-terminal pro-brain natriuretic peptide， and pathological staining. After single-cell sequencing， SingleR package， public datasets， and related literature were used for annotation of the cells. Cell chat was used for intercellular communication and ligand-receptor analysis， and scmetabolism was used for metabolic analysis of endothelial cells. ResultsAnimal experiments showed that Danshen Tongluo formula reduced the N-terminal pro-brain natriuretic peptide （ NT-proBNP ） level （P<0.05）， ameliorated myocardial cell damage and fibrosis， and increase left ventricular ejection fractions （LVEF） in the rat model of heart failure after myocardial infarction（P<0.05）. Single-cell sequencing results showed that Danshen Tongluo formula increased the proportion of arterial endothelial cells， venous endothelial cells， and capillary-arterial endothelial cells， while reducing the proportion of capillary-venous endothelial cells. In addition， this formula increased the interaction intensity of endothelial cells with cardiomyocytes and M1 macrophages and reduced the interaction intensity of endothelial cells with fibroblasts and T cells. Danshen Tongluo formula upregulated CXCL12-CXCR4 signaling in endothelium-B cells and Ptprm-Ptprm signaling in endothelial endothelial cells， while downregulating Mif-（CD74⁺CXCR44） signaling in endothelium-M1 macrophages and Mif-（CD74⁺CD44） signaling in endothelium-M2 macrophages. It reduced the citric acid cycle， oxidative phosphorylation， and glycolysis and increased the glycolysis/oxidative phosphorylation ratio in endothelial cells. GO and KEGG enrichment analysis showed that arterial endothelial cells， venous endothelial cells， and venous capillary endothelial cells can all regulate oxidative phosphorylation， cell adhesion molecules， and tyrosine metabolism. Lymphatic endothelial cells regulate immunity and vascular constriction to participate in the metabolism of various amino acids and fatty acids. ConclusionDanshen Tongluo Formula can ameliorate coronary artery disease-dominated panvascular disease by changing the composition of endothelial cells and regulating the communication between myocardial endothelial cells and non-endothelial cells.

BACKGROUND: G protein-coupled receptor kinase 2 (GRK2) could participate in the regulation of diverse cells via interacting with non-G-protein-coupled receptors. In the present work, we explored how paroxetine, a GRK2 inhibitor, modulates the differentiation and activation of immune cells in rheumatoid arthritis (RA). METHODS: The blood samples of healthy individuals and RA patients were collected between July 2021 and March 2022 from the First Affiliated Hospital of Anhui Medical University. C57BL/6 mice were used to induce the collagen-induced arthritis (CIA) model. Flow cytometry analysis was used to characterize the differentiation and function of dendritic cells (DCs)/T cells. Co-immunoprecipitation was used to explore the specific molecular mechanism. RESULTS: In patients with RA, high expression of GRK2 in peripheral blood lymphocytes, accompanied by the increases of phosphatidylinositol 3 kinase (PI3K), protein kinase B (AKT), and mammalian target of rapamycin (mTOR). In animal model, a decrease in regulatory T cells (T regs ), an increase in the cluster of differentiation 8 positive (CD8 + ) T cells, and maturation of DCs were observed. Paroxetine, when used in vitro and in CIA mice, restrained the maturation of DCs and the differentiation of CD8 + T cells, and induced the proportion of T regs . Paroxetine inhibited the secretion of pro-inflammatory cytokines, the expression of C-C motif chemokine receptor 7 in DCs and T cells. Simultaneously, paroxetine upregulated the expression of programmed death ligand 1, and anti-inflammatory cytokines. Additionally, paroxetine inhibited the PI3K-AKT-mTOR metabolic pathway in both DCs and T cells. This was associated with a reduction in mitochondrial membrane potential and changes in the utilization of glucose and lipids, particularly in DCs. Paroxetine reversed PI3K-AKT pathway activation induced by 740 Y-P (a PI3K agonist) through inhibiting the interaction between GRK2 and PI3K in DCs and T cells. CONCLUSION Paroxetine exerts an immunosuppressive effect by targeting GRK2, which subsequently inhibits the metabolism-related PI3K-AKT-mTOR pathway of DCs and T cells in RA.
G-Protein-Coupled Receptor Kinase 2/metabolism* ; Arthritis, Rheumatoid/immunology* ; Animals ; Dendritic Cells/metabolism* ; Paroxetine/therapeutic use* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Humans ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Male ; Phosphatidylinositol 3-Kinases/metabolism* ; Lymphocyte Activation/drug effects* ; Female ; T-Lymphocytes/metabolism* ; Middle Aged

S-methyl-L-cysteine sulfoxide (SMCO) is a non-protein sulfur-containing amino acid with a variety of functions. There are few reports on the enzymes catalyzing the biosynthesis of SMCO from S-methyl-L-cysteine (SMC). In this study, the flavin-containing monooxygenase gene derived from Schizosaccharomyces pombe (spfmo) was heterologously expressed in Escherichia coli BL21(DE3) and the enzymatic properties of the expressed protein were analyzed. The optimum catalytic conditions of the recombinant SpFMO were 30 ℃ and pH 8.0, under which the enzyme activity reached 72.77 U/g. An appropriate amount of Mg²⁺ improved the enzyme activity. The enzyme kinetic analysis showed that the K_m and k_cat/K_m of SpFMO on the substrate SMC were 23.89 μmol/L and 61.71 L/(min·mmol), respectively. Under the optimal reaction conditions, the yield of SMCO synthesized from SMC catalyzed by SpFMO was 12.31% within 9 h. This study provides reference for the enzymatic synthesis of SMCO.
Schizosaccharomyces/genetics* ; Escherichia coli/metabolism* ; Recombinant Proteins/metabolism* ; Cysteine/biosynthesis* ; Mixed Function Oxygenases/metabolism* ; Schizosaccharomyces pombe Proteins/metabolism* ; Oxygenases/metabolism* ; Kinetics

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

In recent years,the clinical implementation of next-generation sequencing(NGS)has demonstrated the critical driving role of spe-cific myeloid-related gene mutations in the clonal evolution of myelodysplastic syndrome(MDS).These molecular genetic abnormalities not only correlate significantly with disease prognosis but also provide actionable molecular targets for precision medicine-era therapies.In cur-rent clinical practice,the Revised International Prognostic Scoring System(IPSS-R)remains the primary tool for guiding risk-adapted treat-ments in patients with MDS.However,real-world outcomes in certain patients still deviate from IPSS-R predictions,highlighting the need to integrate molecular genetic features into traditional prognostic models for enhanced accuracy.This article systematically reviews recent ad-vances in understanding MDS genetic mutations,focusing on their pivotal roles in driving malignant clonal evolution,optimizing risk stratific-ation,and developing personalized treatments.