Hydrogenases, as a class of highly efficient and reversible biological catalysts, can catalyze the reduction of protons to molecular hydrogen, thus demonstrating great potential in a wide range of fields such as renewable energy production and green chemistry. Despite their significant potential, the large-scale industrial application of hydrogenases has long been constrained by several inherent limitations, including high sensitivity to molecular oxygen, the challenges in the in vitro reconstitution and maturation of their catalytic centers, and the inefficiency and instability of the natural electron transfer pathways. To overcome these limitations and enhance the catalytic performance of hydrogenases, researchers have developed various strategies, among which enzyme molecular engineering, photo-driven modification, and enzyme immobilization techniques are the most common exploration directions. Particularly, enzyme immobilization technology is widely used to improve the reusability of hydrogenases, but traditional immobilization methods often come with disadvantages in practical applications, such as complex multi-step procedures and insufficient biocompatibility of the immobilization materials. In recent years, bioencapsulation technology has emerged as a promising alternative strategy to enhance the catalytic performance of hydrogenases. This method utilizes biologically derived encapsulation materials to construct physically confined and precisely defined chemical microenvironments around the enzyme molecules, offering simpler self-assembly processes and superior biocompatibility. With these biomimetic constructs, bioencapsulation technology not only provides better oxygen tolerance but also helps to create a local microenvironment conducive to sustained catalytic function. This article systematically reviews the latest research progress of two main bioencapsulation strategies for hydrogenases: one is the encapsulation technology based on protein-based nanocages; the other is the engineering strategy for whole-cell hydrogenase expression. In the nanocage-based systems, this article focuses on the structural and functional characteristics of virus-like capsids and carboxysome protein shells, which serve as efficient enzyme encapsulation scaffolds, not only providing a stable physical barrier to prevent oxygen diffusion but also enabling high-density enzyme loading, thereby promoting substrate channeling effects and electron transfer kinetics. This article also discusses whole-cell encapsulation systems, which achieve hydrogenase compartmentalization within engineered cellular structures or by using external natural polysaccharide-based encapsulation matrices to wrap whole-cell catalysts. Bioencapsulation strategies can bring multiple synergistic benefits: they can effectively protect hydrogenases from oxygen-mediated inactivation, significantly delay the decline of catalytic activity over time, and enhance the hydrogen production rate by increasing the local concentration of active enzyme molecules and optimizing the electron transfer efficiency from redox partners to the catalytic center.Despite the significant progress made, several technical challenges remain to be addressed. The main obstacles include limited enzyme loading and encapsulation efficiency, insufficient long-term stability of encapsulation materials under operating conditions, and the need to improve the matching of the photo-biological interface in systems integrating light-harvesting components with enzymatic catalysis. Future efforts can focus on the integration of multiple technological approaches, such as using computer-aided protein design to optimize encapsulation structures, developing engineered electron transfer pathways to enhance catalytic conversion efficiency, and designing composite multifunctional materials with both structural stability and functional adaptability. These directions collectively aim to achieve efficient, stable, and scalable hydrogen production applications of bioencapsulated hydrogenase systems.

Hydrogenases, as a class of highly efficient and reversible biological catalysts, can catalyze the reduction of protons to molecular hydrogen, thus demonstrating great potential in a wide range of fields such as renewable energy production and green chemistry. Despite their significant potential, the large-scale industrial application of hydrogenases has long been constrained by several inherent limitations, including high sensitivity to molecular oxygen, the challenges in the in vitro reconstitution and maturation of their catalytic centers, and the inefficiency and instability of the natural electron transfer pathways. To overcome these limitations and enhance the catalytic performance of hydrogenases, researchers have developed various strategies, among which enzyme molecular engineering, photo-driven modification, and enzyme immobilization techniques are the most common exploration directions. Particularly, enzyme immobilization technology is widely used to improve the reusability of hydrogenases, but traditional immobilization methods often come with disadvantages in practical applications, such as complex multi-step procedures and insufficient biocompatibility of the immobilization materials. In recent years, bioencapsulation technology has emerged as a promising alternative strategy to enhance the catalytic performance of hydrogenases. This method utilizes biologically derived encapsulation materials to construct physically confined and precisely defined chemical microenvironments around the enzyme molecules, offering simpler self-assembly processes and superior biocompatibility. With these biomimetic constructs, bioencapsulation technology not only provides better oxygen tolerance but also helps to create a local microenvironment conducive to sustained catalytic function. This article systematically reviews the latest research progress of two main bioencapsulation strategies for hydrogenases: one is the encapsulation technology based on protein-based nanocages; the other is the engineering strategy for whole-cell hydrogenase expression. In the nanocage-based systems, this article focuses on the structural and functional characteristics of virus-like capsids and carboxysome protein shells, which serve as efficient enzyme encapsulation scaffolds, not only providing a stable physical barrier to prevent oxygen diffusion but also enabling high-density enzyme loading, thereby promoting substrate channeling effects and electron transfer kinetics. This article also discusses whole-cell encapsulation systems, which achieve hydrogenase compartmentalization within engineered cellular structures or by using external natural polysaccharide-based encapsulation matrices to wrap whole-cell catalysts. Bioencapsulation strategies can bring multiple synergistic benefits: they can effectively protect hydrogenases from oxygen-mediated inactivation, significantly delay the decline of catalytic activity over time, and enhance the hydrogen production rate by increasing the local concentration of active enzyme molecules and optimizing the electron transfer efficiency from redox partners to the catalytic center.Despite the significant progress made, several technical challenges remain to be addressed. The main obstacles include limited enzyme loading and encapsulation efficiency, insufficient long-term stability of encapsulation materials under operating conditions, and the need to improve the matching of the photo-biological interface in systems integrating light-harvesting components with enzymatic catalysis. Future efforts can focus on the integration of multiple technological approaches, such as using computer-aided protein design to optimize encapsulation structures, developing engineered electron transfer pathways to enhance catalytic conversion efficiency, and designing composite multifunctional materials with both structural stability and functional adaptability. These directions collectively aim to achieve efficient, stable, and scalable hydrogen production applications of bioencapsulated hydrogenase systems.

AIM: To explore the clinical therapeutic effect of teprotumumab combined with glucocorticoid pulse therapy for thyroid-associated ophthalmopathy(TAO), and its impacts on thyroid function, levels of inflammatory factors, and adverse reactions in patients. METHODS: Active TAO patients admitted to the Ophthalmology Department were enrolled and randomly divide into the steroid group and the combined group. Then the steroid group was treated with glucocorticoid pulse therapy, while the combined group was combined with intravenous infusion of teprotumumab on the basis of the steroid group. The clinical therapeutic effect, the CAS, OSDI, M-C-TAO-QOL scores, ocular sign indicators(fissure width, proptosis), levels of inflammatory factors(TNF-α, CRP, IL-17), thyroid function(TSH, FT3, FT4)before and after treatment, and occurrence of adverse reactions were compared between two groups.RESULTS:Totally 96 TAO patients(192 eyes)were included, with 48 cases(96 eyes)in each group. In the combined group, there were 17 males and 31 females, with an average age of 51.85±3.53 y; in the steroid group, there were 14 males and 34 females, with an average age of 51.26±3.84 y. The total effective rate of the combined group(94%)was higher than that of the steroid group(79%)(P<0.05). After treatment, the CAS score, OSDI score, fissure width, proptosis, levels of TNF-α, CRP, and IL-17 in the combined group were all lower than those in the steroid group, and the M-C-TAO-QOL score was higher than that in the steroid group(P<0.05). However, there was no difference in thyroid function indicators and adverse reactions between two groups after treatment(P>0.05). CONCLUSION: The combination of teprotumumab and glucocorticoid pulse therapy for TAO has a prominent therapeutic effect. Meantime, it can more effectively control ocular inflammation, improve ocular signs and quality of life of patients, and has no obvious adverse effect on thyroid function, with controllable safety.

Objective To investigate serum β2-MG, sCHE, and PSGL-1 expression in patients with esophageal cancer and their relationship to lung infection after mediastinoscopy. Methods A total of 118 patients with esophageal cancer were selected and divided into infected and uninfected groups according to whether they developed lung infection after surgery. An automatic microbiological identification system was used to detect the pathogenic bacteria of lung infection. ELISA was used to detect the levels of β2-MG, sCHE, and PSGL-1. Multivariate logistic regression was used to analyze the influencing factors of postoperative lung infection in patients with esophageal cancer. ROC curves were plotted to analyze the assessment value of serum β2-MG, sCHE, and PSGL-1 on postoperative lung infection. Results Fifty-two strains of bacteria were isolated from the sputum of 38 patients with postoperative lung infections, and these included 35 (67.31%) Gram-negative, 14 (26.92%) Gram-positive, and 3 (5.77%) fungal strains. The difference in long-term smoking history between the infected and uninfected groups was statistically significant (P<0.05). Serum β2-MG and PSGL-1 levels were significantly higher and sCHE levels were significantly lower in the infected group than in the uninfected group (P<0.05). Serum β2-MG and PSGL-1 levels were sequentially higher (P<0.05) and sCHE levels were sequentially lower (P<0.05) in the mild, moderate, and severe lung infection groups. Long-term smoking history, β2-MG, and PSGL-1 were risk factors affecting postoperative lung infection in patients with esophageal cancer (P<0.05), and sCHE was a protective factor (P<0.05). The AUCs of serum β2-MG, sCHE, and PSGL-1 for assessing postoperative lung infections were 0.807, 0.845, and 0.800, respectively, and the AUC of the three combined factors for assessing postoperative lung infections was 0.954, which was superior to that assessed individually (Z_{combination vs. β2-MG}=2.576, Z_{combination vs. sCHE}=2.623, Z_{combination vs. PSGL-1}=2.574, all P<0.05). Conclusion The serum levels of β2-MG and PSGL-1 increase and the sCHE level decreases in patients with esophageal cancer and postoperative pulmonary infection, which are also related with lung infection. Combined testing can improve the evaluation value of postoperative pulmonary infection in patients.

Objective To investigate the effect of lidocaine medicated plaster （LMP） combined with pregabalin （PGB） on patients with postherpetic neuralgia （PHN）, and the impact on serum pain mediators. Methods 108 PHN patients admitted in our hospital from January 2024 to December 2024 were selected and grouped according to the time point of receiving treatment, 54 PHN patients treated with PGB from January 2024 to June 2024 were included in the PGB group, and 54 PHN patients treated with LMP on top of the PGB group from July 2024 to December 2024 were included in the PGB+LMP group. Comparisons were made between the two groups in terms of pain score, serum pain mediator levels, dosage of PGB, and incidence of adverse reactions. Results After 4 weeks of treatment, both groups showed a decrease in Pain Rating Index scores （sensory score and affective score）, Present Pain Intensity score, Visual Analog Scale score, and total score. Meanwhile, above scores of the PGB+LMP group were lower than those of the PGB group （P<0.05）. After 4 weeks of treatment, the levels of substance P（SP） and neuropeptide Y （NPY） in both groups were lower than those before treatment, while serum 5-hydroxytryptamine （5-HT） levels were higher than those before treatment. Moreover, the levels of SP and NPY were lower, and 5-HT level was higher in the PGB+LMP group than in the PGB group （P<0.05）. The dosages of PGB in the PGB+LMP group at T1, T, T3 and T4 were significantly lower than those in the PGB group （P<0.05）. The incidence of adverse reactions was 1.85%（1/54） in the PGB+LMP group. Compared to 5.56%（3/54） in the PGB group, and the difference was not statistically significant （P>0.05）. Conclusion LMP combined with PGB was effective in the treatment of patients with PHN, which could effectively alleviate pain and lower the levels of serum pain mediators, with good safety.

OBJECTIVE To optimize the extraction process of organic acids from Angelica sinensis using deep eutectic solvents （DESs）， and conduct characterization， antioxidant activity evaluation， and extraction mechanism analysis. METHODS The conductor-like screening model for realistic solvation with segment activity coefficients （COSMO-SAC） was employed to screen the types of DESs. With total organic acid content as the response value， single-factor experiments and Box-Behnken response-surface methodology were used to optimize the extraction conditions. Using A. sinensis decoction pieces and/or A. sinensis methanol extract as references， scanning electron microscope and Fourier transform infrared spectrometer （FTIR） were applied to characterize the products. Additionally， the 1，1-diphenyl-2-picrylhydrazyl （DPPH） and 2，2′-azino-bis（3-ethylbenzothiazoline-6- sulfonic acid） （ABTS） free radical scavenging capacities were determined. Density functional theory （DFT） was used to analyze the extraction mechanism of ferulic acid and chlorogenic acid by the DESs. RESULTS & CONCLUSIONS The optimal DESs was choline chloride-propanediol. The optimal extraction conditions for organic acids from A. sinensis were as follows： choline chloride- propanediol molar ratio of 1∶1， DESs water content of 70%， solid-liquid ratio of 1∶10， heating temperature of 57 ℃， and heating and stirring time of 8 min. In three validation experiments， the total organic acid content was 2.92 mg/g， yielding a relative error of 0.34% compared to the predicted value （2.91 mg/g）. Compared with A. sinensis decoction pieces and methanol extracts， the agglomerated structure of the DESs extract powder almost disappeared， showing the presence of lamellar structures similar to those of the intestinal wall. Compared with the methanol extract， the DES extract exhibited higher FTIR characteristic peak intensity and peak area integration， as well as stronger scavenging capacities against DPPH and ABTS free radicals. The extraction of organic acids from A. sinensis by DESs is the result of the combined effects of polarity matching， hydrogen bonding， and structural adaptation.

Objective:To establish the reference intervals (RIs) of systemic immune inflammatory index (SII), platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR) and monocyte to lymphocyte ratio (MLR) in healthy pregnant women in Henan province, China.Methods:A retrospective analysis was conducted on the data of the healthy pregnant women without a history of adverse pregnancy events who participated in health check-ups from August 2016 to February 2019. A total of 4 016 healthy pregnant women were selected for establishing RIs. Data from healthy adult control group were derived from the healthy adult cohort in Henan established earlier by our team, and the Propensity Score Matching analysis was used and 3 595 healthy adult women and 3 595 healthy pregnant women to compare the indicators between the two groups. The RIs of the above indicators were established using the indirect method with a 95% confidence interval. The Tukey Rule was used to identify and remove outliers. The RIs were stratified and grouped based on the differences in each indicator during the pregnancy: SII: 3 929 cases, including 712 in the first trimester, 1 947 in the second trimester, and 1, 270 in the third trimester; PLR: 3 927 cases, no grouping; NLR: 3 925 cases, including 712 in the first trimester and 3 213 in the second and third trimesters; LMR: 3 925 cases, including 723 in the first trimester, 1 942 in the second trimester, and 1 260 in the third trimester; MLR: 3 904 cases, including 721 in the first trimester, 1 928 in the second trimester, and 1 255 in the third trimester. After the RIs were established, another 396 healthy pregnant women without a history of adverse pregnancy events who participated in health check-ups from February to April 2019 were selected for the validation of the RIs.Results:SII, NLR, LMR, MLR, and PLR differ significantly between healthy adult women and healthy pregnant women. There were significant differences in SII, LMR, and MLR among the three trimesters ( P<0.05). NLR in the first trimester was significantly lower than that in the second and third trimesters ( P<0.05), while there was no significant difference between the second and third trimester ( P=0.124). PLR only showed significant differences between the second and third trimester ( P<0.05), while no significant differences were found among the other groups. Based on the above results, the stratified RIs of each index in healthy pregnant population were established and verified. SII: first trimester (341-1 426)×10 9/L, second trimester (437-1 680)×10 9/L, third trimester (379-1 580)×10 9/L; PLR: 73-215; NLR: first trimester 1.78-5.60, second and third trimester 2.21-6.74; LMR: first trimester 2.20-6.61, second trimester 1.85-5.42, third trimester 1.63-4.82; MLR: first trimester 0.14-0.42, second trimester 0.17-0.49, third trimester 0.18-0.55. The rejection rate of 396 cases was less than 10%. Conclusions:The RIs of SII, NLR, LMR, MLR and PLR for healthy pregnant women in Hernan province of China were established and validated, and4 could be used in clinical practice.

Objective:To investigate whether Porphyromonas gingivalis (Pg) induces ferroptosis in vascular endothelial cells and predict the Hub genes. Methods:Firstly, human umbilical vein endothelial cells (HUVEC) were stimulated with Pg (W83) for 4 h, and transmission electron microscopy was used to observe ferroptosis-related morphological characteristics. Subsequently, RNA was extracted from HUVEC before and after Pg stimulation for transcriptome sequencing (RNA-seq). Enrichment analysis was performed to determine if differentially expressed genes (DEG) associated with ferroptosis. Ferroptosis-related DEG (Fer-DEG) were identified and then underwent gene ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, protein-protein interaction (PPI) network construction, and Hub gene prediction. Next, based on RNA-seq results, HUVEC were stimulated with lipopolysaccharide (LPS) for 24 h. Established ferroptosis markers were detected. The indices and detection methods were as follows: cell viability via cell counting kit-8; reactive oxygen species (ROS) by the DCFH-DA probe; Fe2?, lipid peroxides (LPO), malondialdehyde (MDA), and reduced/oxidized glutathione ratio (GSH/GSSG) with commercial kits; mitochondrial membrane potential (MMP) using the JC-1 probe; solute carrier family 7 member 11 (SLC7A11), solute carrier family 3 member 2 (SLC3A2), and glutathione peroxidase 4 (GPX4) expressions by Western blotting (WB) and real-time fluorescence quantitative PCR (RT-qPCR). Finally, RT-qPCR was used to validate the expression of predicted Hub genes in HUVEC after 24 h LPS stimulation, including tumor necrosis factor (TNF) or TNF-α, interleukin (IL)-6, and prostaglandin-endoperoxide synthase 2 (PTGS2).Results:The mitochondria exhibited size reduction and cristae loss in Pg-stimulated HUVEC. DEG of HUVEC between the Pg-infected and control groups were enriched in the pathway of ferroptosis, and from which 56 Fer-DEG were identified. GO analysis showed enrichment in in responses to TNF, LPS, biotic stimulus, etc. and KEGG analysis revealed enrichment in TNF, C-type lectin receptor, and IL-17 signaling pathways, etc. In the 56-gene PPI network, TNF, IL-6, and PTGS2 were predicted as Hub genes, which were significantly associated with ferroptosis-related pathways, including unsaturated fatty acid biosynthesis and ROS metabolic process regulation. Compared to the control group [(100.00±1.44)%], LPS significantly reduced HUVEC viability [(66.77±1.80)%], which could be ameliorated by Fer-1 [(84.50±1.47)%] ( P<0.05). The ROS fluorescence intensity in the LPS group (1 523.00±250.70) was significantly higher than in the control (328.20±38.68) or LPS+Fer-1 (753.30±67.11) group (all P<0.05). The Fe2?, LPO, and MDA levels in the LPS group [(29.83±4.25) μmol/10 6 cells, (3.58±0.24) μmol/gprot, (5.54±0.33) μmol/gprot, respectively] were significantly higher than both the control group [(7.29±0.79) μmol/10 6 cells, (1.08±0.05) μmol/gprot, (2.06±0.17) μmol/gprot] and the LPS+Fer-1 group [(16.33±1.63) μmol/10 6 cells, (2.01±0.09) μmol/gprot, (3.24±0.26) μmol/gprot]. Furthermore, the GSH/GSSG ratio in the LPS group (2.17±0.08) was considerably lower than both the control group (6.96±0.20) and the LPS+Fer-1 group (4.31±0.81) (all P<0.05). The JC-1 aggregate/monomer fluorescence intensity ratio of the LPS group (0.46±0.07) was markedly lower than the control group (285.60±160.40), while Fer-1 pretreatment (1.53±0.17) obviously mitigated this decrease (all P<0.05). SLC7A11, SLC3A2, and GPX4 protein and mRNA expression levels in the LPS group were dramatically lower than both the control group and the Fer-1+LPS group ( P<0.05). The mRNA expression levels of TNF, IL-6, and PTGS2 in the LPS group were strongly upregulated compared to the control group, and the expressions of these three factors in the LPS+Fer-1 group were significantly lower than those in the LPS group (all P<0.05). Conclusions:Pg drives ferroptosis in vascular endothelial cells, with TNF, IL-6, and PTGS2 identified as the potential novel Hub genes in this process.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

The transcriptome sequencing based on Illumina Novaseq 6000 Platform was performed with the untreated seed embryo(DS), stratified seed embryo(SS), and germinated seed embryo(GS) of Zanthoxylum nitidum, aiming to explore the molecular mechanism regulating the seed dormancy and germination of Z. nitidum and uncover key differentially expressed genes(DEGs). A total of 61.41 Gb clean data was obtained, and 86 386 unigenes with an average length of 773.49 bp were assembled. A total of 29 290 DEGs were screened from three comparison groups(SS vs DS, GS vs SS, and GS vs DS), and these genes were annotated on 134 Kyoto Encyclopedia of Genes and Genomes(KEGG) pathways. KEGG enrichment analysis revealed that the plant hormone signal transduction pathway is the richest pathway, containing 226 DEGs. Among all DEGs, 894 transcription factors were identified, which were distributed across 34 transcription factor families. These transcription factors were also mainly concentrated in plant hormone signal transduction and mitogen-activated protein kinase(MAPK) signaling pathways. Further real-time quantitative polymerase chain reaction(RT-qPCR) validation of 12 DEGs showed that the transcriptome data is reliable. During the process of seed dormancy release and germination, a large number of DEGs involved in polysaccharide degradation, protein synthesis, lipid metabolism, and hormone signal transduction were expressed. These genes were involved in multiple metabolic pathways, forming a complex regulatory network for dormancy and germination. This study lays a solid foundation for analyzing the molecular mechanisms of seed dormancy and germination of Z. nitidum.
Zanthoxylum/metabolism* ; Plant Dormancy/genetics* ; Seeds/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Transcriptome ; Gene Expression Profiling ; Germination ; Transcription Factors/metabolism* ; Plant Growth Regulators/genetics* ; Signal Transduction