Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Programmed cell death (PCD) is characterized as a cell death pathway governed by specific gene-encoding requirements, plays crucial roles in the homeostasis and innate immunity of organisms, and serves as both a pathogenic mechanism and a therapeutic target for a variety of human diseases. Z-DNA-binding protein 1 (ZBP1) functions as a cytosolic nucleic acid sensor, utilizing its unique Zα domains to detect endogenous or exogenous nucleic acids and its receptor-interacting protein homotypic interaction motif (RHIM) domains to sense or bind specific signaling molecules, thereby exerting regulatory effects on various forms of PCD. ZBP1 is involved in apoptosis, necroptosis, pyroptosis, and PANoptosis and interacts with molecules, such as receptor-interacting protein kinase 3 (RIPK3), to influence cell fate under various pathological conditions. It plays a crucial role in regulating PCD during infections, inflammatory and neurological diseases, cancers, and other conditions, affecting disease onset and progression. Targeting ZBP1-associated PCD may represent a viable therapeutic strategy for related pathological conditions. This review comprehensively summarizes the regulatory functions of ZBP1 in PCD and its interactions with several closely associated signaling molecules and delineates the diseases linked to ZBP1-mediated PCD, along with the potential therapeutic implications of ZBP1 in these contexts. Ongoing research on ZBP1 is being refined across various disease models, and these advancements may provide novel insights for studies focusing on PCD, potentially leading to new therapeutic options for related diseases.

High-performance liquid chromatography(HPLC) was used to determine the content of three major components in Citri Reticulatae Semen(CRS), including limonin, nomilin, and obacunone. The chromaticity of the CRS sample during salt processing and stir-frying was measured using a color difference meter. Next, the relationship between the color and content of the salt-processed CRS sample was investigated through correlation analysis. By integrating the oil bath technique for processing simulation with HPLC, the changes in the relative content of nomilin and its transformation products were analyzed, with its structural transformation pattern during processing identified. Additionally, RAW264.7 cells were induced with lipopolysaccharides(LPSs) to establish an inflammatory model, and the anti-inflammatory activity of nomilin and its transformation product, namely obacunone was evaluated. The results indicated that as processing progressed, E~*ab and L~* values showed a downward trend; a~* values exhibited a slow increase over a certain period, followed by no significant changes, and b~* values remained stable with no significant changes over a certain period and then started to decrease. The limonin content remained barely unchanged; the nomilin content decreased, and the obacunone increased significantly. The changing trends in content and color parameters during salt-processing and stir-frying were basically consistent. The content of nomilin and obacunone was significantly correlated with the colorimetric values(L~*, a~*, b~*, and E~*ab), while limonin content showed no significant correlation with these values. By analyzing HPLC patterns of nomylin at different heating temperatures and time, it was found that under conditions of 200-250 ℃ for heating of 5-60 min, the content of nomilin significantly decreased, while the obacunone content increased pronouncedly. The in vitro anti-inflammatory activity results indicated that compared to the model group, the group with a high concentration of nomilin and the groups with varying concentrations of obacunone showed significantly reduced release of nitric oxide(NO)(P<0.01). When both were at the same concentration, obacunone showed better performance in inhibiting NO release. In this study, the obvious correlation between the color and content of major components during the processing of CRS samples was identified, and the dynamic patterns of quality change in CRS samples during processing were revealed. Additionally, the study revealed and confirmed the transformation of nomilin into obacunone during processing, with the in vitro anti-inflammatory activity of obacunone significantly greater than that of nomilin. These findings provided a scientific basis for CRS processing optimization, tablet quality control, and its clinical application.
Mice ; Animals ; Drugs, Chinese Herbal/pharmacology* ; RAW 264.7 Cells ; Limonins/chemistry* ; Chromatography, High Pressure Liquid ; Citrus/chemistry* ; Color ; Benzoxepins/chemistry* ; Anti-Inflammatory Agents/chemistry*

Liraglutide (Lira), a glucagon-like peptide-1 (GLP-1) receptor agonist approved for diabetes and obesity, has shown significant potential in treating metabolic dysfunction-associated steatotic liver disease (MASLD). However, its systematic molecular regulation and mechanisms remain underexplored. In this study, a mouse model of MASLD was developed using a high-fat diet (HFD), followed by Lira administration. Proteomics and glycoproteomics were analyzed using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS), while potential molecular target analysis was conducted via quantitative real-time polymerase chain reaction (qPCR) and Western blotting. Our results revealed that Lira treatment significantly reduced liver weight and serum markers, including alanine aminotransferase (ALT) and others, with glycosylation changes playing a more significant role than overall protein expression. The glycoproteome identified 255 independent glycosylation sites, emphasizing the impact of Lira on amino acid, carbohydrate metabolism, and ferroptosis. Simultaneously, proteomic analysis highlighted its effects on lipid metabolism and fibrosis pathways. 21 signature molecules, including 7 proteins and 14 N-glycosylation sites (N-glycosites), were identified as potential targets. A Lira hydrogel formulation (Lira@fibrin (Fib) Gel) was developed to extend drug dosing intervals, offering enhanced therapeutic efficacy in managing chronic metabolic diseases. Our study demonstrated the importance of glycosylation regulation in the therapeutic effects of Lira on MASLD, identifying potential molecular targets and advancing its clinical application for MASLD treatment.

Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60％participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10％participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.

Additive manufacturing(3D printing)technology aligns with the direction of precision and customization in future medicine,presenting a significant opportunity for innovative development in high-end medical devices.Currently,research and industrialization of 3D printed medical devices mainly focus on nondegradable implants and degradable implants.Primary areas including metallic orthopaedic implants,polyether-ether-ketone(PEEK)bone implants,and biodegradable implants have been developed for clinical and industrial application.Recent research achievements in these areas are reviewed,with a discussion on the additive manufacturing technologies and applications for customized implants.Challenges faced by different types of implants are analyzed from technological,application,and regulatory perspectives.Furthermore,prospects and suggestions for future development are outlined.

Pulmonary fibrosis(PF)is a chronic progressive end-stage lung disease.However,the mechanisms un-derlying the progression of this disease remain elusive.Presently,clinically employed drugs are scarce for the treatment of PF.Hence,there is an urgent need for developing novel drugs to address such diseases.Our study found for the first time that a natural source of Prismatomeris connata Y.Z.Ruan(Huang Gen,HG)ethyl acetate extract(HG-2)had a significant anti-PF effect by inhibiting the expression of the transforming growth factor beta 1/suppressor of mothers against decapentaplegic(TGF-β1/Smad)pathway.Network pharmacological analysis suggested that HG-2 had effects on tyrosine kinase phosphorylation,cellular response to reactive oxygen species,and extracellular matrix(ECM)disassembly.Moreover,mass spec-trometry imaging(MSI)was used to visualize the heterogeneous distribution of endogenous metabolites in lung tissue and reveal the anti-PF metabolic mechanism of HG-2,which was related to arginine biosyn-thesis and alanine,asparate and glutamate metabolism,the downregulation of arachidonic acid meta-bolism,and the upregulation of glycerophospholipid metabolism.In conclusion,we elaborated on the relationship between metabolite distribution and the progression of PF,constructed the regulatory metabolic network of HG-2,and discovered the multi-target therapeutic effect of HG-2,which might be conducive to the development of new drugs for PF.

Purpose/Significance To quantitatively analyze and evaluate 26 health informatization construction policies issued at the national level,so as to provide basis for improving related policies.Method/Process Based on the policy modeling consistency(PMC)index model,a health informatization construction policy evaluation index system is constructed,which includes 9 first-level indicators and 36 second-level indicators.Appling it to the evaluation of various policy texts,and the health informatization construction policies are analyzed in a holistic and concrete way.Result/Conclusion The overall score of the health informatization construction policies is ex-cellent.2 policies are at the perfect level,80.6％of policies are at the excellent level,and there are no bad level policy texts.However,the driving force of the policy and the balance of policy recipients need to be further improved.

The multiple systemic symptoms appearing during the convalescence of novel coronavirus infection(COVID-19)are called long-term symptoms after COVID-19,also named as long COVID.Traditional Chinese medicine(TCM)has unique advantages in the treatment of long COVID.In the view of Professor ZHANG Zhong-De,the novel coronavirus infection belongs to the category of damp-toxin pestilence in TCM.During the convalescence of novel coronavirus infection,the damp-toxin pathogen causes the dysfunction of qi,blood,yin and yang of zang-fu organs,and then results in the consumption of yang qi or the depletion of fluid and blood.Damp-turbidity obstructing qi movement and entering collaterals and then developing into blood stasis is the key pathogenesis of long COVID.Therefore,the therapeutic principle of harmonizing yin,yang,qi and blood of the five zang-organs is proposed,and the methods for transporting and transforming damp-toxin and phlegm-turbidity,regulating qi,activating blood and removing stasis should be adopted.According to the exuberance or decline of qi,blood and body fluid,and yin and yang of the five zang-organs,the Fuzheng Series Formulas(series formulas for supporting healthy qi)were recommended for the specific syndrome types:Fuzheng Shengbai Formula can be used for the syndrome of deficiency of original qi;Fuzheng Yifei Formula can be used for lung-spleen-kidney deficiency syndrome;Fuzheng Anshen Formula can be used for the syndrome of liver qi stagnation and heart-spleen deficiency.During the treatment,Professor ZHANG Zhong-De makes the modification of drugs indicated for the retention sites of damp-toxin and turbid qi,and addresses the importance of spleen and stomach in the whole treatment process by protecting spleen and stomach,so as to promote the rehabilitation of patients after novel coronavirus infection and improve their quality of life.

Objective To evaluate the diagnostic value of ischemia-modified albumin(IMA)and the crea-tine kinase(CK)index in acute ischemic stroke(AIS).Methods According to the inclusion and exclusion cri-teria,totally 149 newly diagnosed and untreated AIS patients hospitalized in Henan Provincial People's Hospi-tal from October 2021 to October 2022 were selected as the AIS group.Additionally,156 healthy people who underwent the physical examination during the same period were selected as the control group.Activity levels of IMA,CK,creatine kinase-MB(CK-MB),lactate dehydrogenase(LDH)and hydroxybutyrate-dehydrogen-ase(HBDH)were measured using the Abbott C1600 biochemical analyzer,and the CK index(ratio of CK-MB to CK)was calculated.Relative risk factors were analyzed,receiver operating characteristics(ROC)curve was constructed,data were analyzed using SPSS27.0.1,graphs were plotted using GraphPad Prism 9.4.1,and differences in area under the curve(AUC)were compared using MedCalc(version 20.0.22).Results The AIS group exhibited significantly higher levels of IMA,CK-MB,and the CK index,and significantly lower levels of CK compared to the control group(all P＜0.05).Univariate logistic regression analysis revealed that both IMA and the CK index were risk factors for AIS(both P＜0.001).After adjusting for gender and age in a multivariate binary logistic regression analysis,IMA emerged as an independent risk factor for AIS(OR=1.901,95％CI:1.649-2.190,P＜0.001).IMA,CK-MB and CK index in the AIS group were significantly higher than those in the control group,and CK levels were significantly lower than those in the control group,and the differences were statistically significant(P＜0.05).Univariate Logistic regression analysis showed that IMA and CK index were risk factors for AIS(P＜0.001).After adjusting for sex and age in multivariate binary Logistic regression analysis,IMA was an independent risk factor for AIS(OR=1.901,95％CI:1.649-2.190,P＜0.001).The ROC curve demonstrated that AUC,the sensitivity and the specificity of sin-gle detection for IMA were 0.922,81.2％,and 90.4％,respectively.There was no significant difference compared to combined detection using IMA+CK index or IMA+CK index+CK(all P＞0.05).Conclusion IMA is an independent risk factor for AIS,which has strong diagnostic value and is worthy of clinical application.