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.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

In infants with severe bronchopulmonary dysplasia(sBPD),severe pulmonary lobar emphysema may occur as a complication,contributing to significant impairment in ventilation.Clinical management of these infants is extremely challenging and some may require lobectomy to improve ventilation.However,prior to the lobectomy,it is very difficult to assess whether the remaining lung parenchyma would be able to sustain adequate ventilation postoperatively.In addition,preoperative planning and perioperative management are also quite challenging in these patients.This paper reports the utility of selective bronchial occlusion in assessing the safety and efficacy of lobectomy in a case of sBPD complicated by severe right upper lobar emphysema.Since infants with sBPD already have poor lung development and significant lung injury,lobectomy should be viewed as a non-traditional therapy and be carried out with extreme caution.Selective bronchial occlusion test can be an effective tool in assessing the risks and benefits of lobectomy in cases with sBPD and lobar emphysema.However,given the technical difficulty,successful application of this technique requires close collaboration of an experienced interdisciplinary team.

Objective:To establish a three-dimensional finite element model of the nose, simulate and analyze the deformation of nasal tissue caused by different focal points, traction directions, and modes, provide the theoretical basis for the effectiveness of physical traction therapy, and guide the clinical selection of more efficient physical traction therapy methods.Methods:A finite element model of the nose was established by ANSYS Workbench 19.2 software based on image data obtained from CT scans of a 29-year-old male volunteer with normal nasal appearance in Peking University Third Hospital. Two focal points, the nasal tip, and the nasal columella, were selected, and three force directions, parallel to the forward, forward and down 30°, forward and down 60°, were applied. The deformation caused by different traction conditions on the skin, lining, and soft bone parts, as well as the four anatomical landmarks of the nasal tip, nasal root, the midpoint of the nasal columella, and the nasal base, were compared. The deformation produced by 10 minutes of continuous pulling and 10 times 1-minute pulse pulling were compared under the same pulling conditions. The deformations generated by two types of pulling modes within a 24-hour cycle: a single 1-hour cycle and 6 intermittent 10-minute cycles, were compared.Results:All traction conditions resulted in deformation of the nasal model, with the maximum deformation of the nasal tissue obtained by pulling forward and downward at 60° (4.632 9 mm) which was greater than other traction conditions (0.825 0-3.105 0 mm). The maximum deformation value was located near the nasion of the model’s skin layer. The deformation obtained by 10 minutes of continuous pulling (0.176 6 mm) was slightly greater than that obtained by 10 times of 1-minute pulse pulling (0.176 5 mm). Within 24 hours, the final deformation of multiple intermittent pulling modes (0.019 0 mm) was greater than that of a single pulling mode (0.004 3 mm).Conclusion:Physical traction can effectively deform the skin and soft tissue of the nose, and the most efficient operation is to continuously pinch the tip of the nose for a short period and apply tension parallel to the back of the nose downwards, repeating every a few hours.

AIM:To investigate the impact of honokiol(HKL),an activator of silent information regulator 3(SIRT3),on postoperative cognitive dysfunction(POCD)in mice,and to explore the potential mechanisms.METHODS:Ten-month-old male C57/BL6 mice were randomly divided into control(Con)group,surgical(Sur)group and Sur+HKL group(n=10).The mice in Sur+HKL group were intraperitoneally injected with HKL for 7 d before modeling.The mice in Sur and Sur+HKL groups underwent tibial fracture open reduction and internal fixation to establish the POCD model.The assessment of cognitive function was conducted using the open-field test(OFT),novel object recognition test(NORT),Morris water maze test(MWMT),and Y-maze test(YMT).Nissl staining was employed to assess the morphology,struc-ture and vitality of hippocampal and cortical neurons in mice.The protein expression of glutathione peroxidase 4(GPX4),solute carrier family 7 member 11(SLC7A11),acyl coenzyme A synthetase long-chain family member 4(ACSL4),SIRT3 and nuclear factor E2-related factor 2(NRF2)in the mouse hippocampus was detected by Western blot,while im-munofluorescence staining was utilized to determine GPX4 level in mouse neurons.RESULTS:No statistically signifi-cant differences were observed among the groups in terms of total distance moved and central zone exploration during the OFT(P>0.05).However,the results from the NORT and YMT indicated that the mice in Sur group exhibited significant-ly lower recognition indexes,reduced alternation rates(P<0.01),and decreased percentages of entries and crossing time into the new arm after side arm blockade(P<0.01),when compared with Con group.Furthermore,the mice in Sur group demonstrated a slower decrease in latency during the learning period of MWMT,while significantly lower latency,fewer crossing number and lower percentage of time in the target quadrant were observed during the testing period of MWMT(P<0.01).The above indicators were obviously enhanced in Sur+HKL group compared with Sur group(P<0.01).The results of Nissl staining indicated lighter neuronal staining in the hippocampal CA1 region and medial prefrontal cortex in Sur group,accompanied by a significant reduction in the number of Nissl-stained positive neurons(P<0.01).Notably,HKL pretreatment demonstrated a significant improvement in neuronal vitality.Analysis of Western blot revealed that compared with Con group,the expression of SIRT3,GPX4,SLC7A11 and NRF2 in Sur group was significantly reduced,while the expression of ACSL4 was significantly increased(P<0.05).However,these alterations were reversed after treatment with HKL(P<0.05).Immunofluorescence staining of hippocampal neurons corroborated the findings from Western blot analy-sis,demonstrating a notable decrease in GPX4 expression in hippocampal neurons of Sur group,which was significantly restored after HKL pretreatment(P<0.01).CONCLUSION:Treatment with HKL attenuates POCD in mice,potentially through its inhibitory effect on hippocampal neuronal ferroptosis.

Objective To establish an evaluation system of pathogen detection rate of hospitalized patients before antimicrobial treatment based on process and outcome indicators,and study its application effect.Methods Hospi-talized patients with therapeutic antimicrobial treatment in a tertiary first-class hospital from July 2022 to June 2023 were selected as the study objects.Difference in process and outcome indicators were compared between before(Ju-ly-December 2022,control group)and after(January-June 2023,intervention group)the implementation of inter-vention in the evaluation system for pathogen detection rate of hospitalized patients before antimicrobial treatment.Results 41 577 and 27 052 hospitalized patients received therapeutic antimicrobial agents were included in the inter-vention group and control group,respectively.Pathogen detection rate and the accurate pathogen detection rate in the intervention group were both higher than those in the control group(74.2％vs 62.8％and 90.3％vs 82.5％,respectively),both with statistically significant differences(both P＜0.001).The goal achievement rate and im-provement rate for pathogen detection rate were 237.5％and 18.2％respectively,the goal achievement rate and im-provement rate for accurate pathogen detection rate were 104.0％and 9.5％respectively.For the process indica-tors,the conformity rate of detection and diagnosis,accurate collection rate,timely transfer rate,acceptance rate of pathogen specimens in the intervention group were all higher than those in the control group,differences were all statistically significant(all P＜0.001).For the outcome indicators,detection rates of targeted indicators and blood culture specimens,pathogen detection rate before treatment of restricted and special grade antimicrobial agent,as well as detection rate of sterile body fluid specimens in the intervention group were all higher than those in the con-trol group,with statistical significance(all P＜0.05).In addition,the positive rate of blood culture specimens in-creased from 18.5％before intervention to 21.7％after intervention,with statistically significant difference(P＜0.05).Conclusion The establishment of indicator evaluation system can improve the detection rate and accurate detection rate of pathogens before antimicrobial treatment,as well as the management quality and connotation of indicators.

Objective To investigate the correlation of CEP192 expression with prognosis of gastric cancer and biological behaviors of gastric cancer cells.Methods Public databases and clinical tissue samples were used to examine CEP192 expression level in gastric cancer.Kaplan-Meier survival curves,univariate and multivariate Cox regression analyses,ROC curves and bioinformatics analyses were used to explore the risk factors affecting the 5-year postoperative survival,the correlation of CEP192 expression level with the patients'survival,and its biological role in gastric cancer development.In gastric cancer MGC-803 cells with lentivirus-mediated CEP192 interference or overexpression,cell proliferation and expressions of PLK1,CDK1 and Cyclin B1 were examined with CCK-8 assay and Western blotting.The effects of CEP192 knockdown or overexpression on tumorigenesis of MGC-803 cells was observed in nude mice,and the expressions of PLK1,CDK1 and Cyclin B1 in the xenografts were detected.Results CEP192 was highly expressed in gastric cancer and associated with poor prognosis of the patients(P<0.05).High expression of CEP192,CEA≥5 ng/mL,CA199≥37 IU/mL,T3-4 stage,and N2-3 stage were independent risk factors affecting the patients'5-year postoperative survival(P<0.05).Bioinformatics analyses suggested that CEP192 was involved in several vital biological processes and positively regulated cell cycle progression.In MGC-803 cells,CEP192 knockdown significantly inhibited cell proliferation and lowered the expression levels of PLK1,CDK1,and Cyclin B1,while its overexpression produced the opposite effects.In the nude mouse models,CEP192 knockdown resulted in lowered tumorigenic potential of MGC-803 cells and decreased protein levels of PLK1,CDK1,and Cyclin B1 in the xenografts,while CEP192 overexpression in MGC-803 cells caused the opposite changes.Conclusion CEP192 overexpression is correlated with unfavorable outcomes of gastric cancer patients and promotes gastric cell proliferation by regulating the key proteins during G2/M phase transition.

Based on the long bud stage phenotype of a new Lonicera japonica Flos variety "Huajin 6", using "Huajin 6" and "Da Mao Hua" as materials, probing the mechanism of its phenotype formation. Detection of endogenous Jasmonic acid hormones (JAs) content; the genes related to jasmonic acid (JA) synthesis were identified by transcriptome analysis of Lonicera japonica; flower buds and flowers of "Huajin 6" and "Da Mao Hua" were collected at different periods, and the qRT-PCR (quantitative real-time PCR) technique was used to analyze the trend of the expression of synthesis-related enzyme genes in Lonicera japonica Flos during the bud stage. The study found that the content of JAs in "Huajin 6" Lonicera japonica Flos was significantly lower than that in "Da Mao Hua"; applying exogenous methyl-jasmonate (MeJA) to "Huajin 6" can restore its flowering phenotype, making it close to wild type Lonicera japonica Flos; there are significant differences in the expression of two allene oxide synthase genes (AOS), three lipoxygenase genes (LOX), and two allene oxide cyclase genes (AOC) in the flowers and buds of "Huajin 6" and "Da Mao Hua" at different periods. It is hypothesized that the low expression of JA synthesis-related enzyme genes in " Huajin 6" leads to the blockage of JA synthesis, which causes the formation of the long bud phenotype. This study laid a certain foundation for the genetic breeding of Lonicera japonica, provided a new idea for the improvement of Lonicera japonica varieties, and provided a reference for the study of JAs in plant flower organs.

Cancer is one of the deadliest diseases affecting the health of human beings. With limited therapeutic options available, complementary and alternative medicine has been widely adopted in cancer management and is increasingly becoming accepted by both patients and healthcare workers alike. Chinese medicine characterized by its unique diagnostic and treatment system is the most widely applied complementary and alternative medicine. It emphasizes symptoms and ZHENG (syndrome)-based treatment combined with contemporary disease diagnosis and further stratifies patients into individualized medicine subgroups. As a representative cancer with the highest degree of malignancy, pancreatic cancer is traditionally classified into the "amassment and accumulation". Emerging perspectives define the core pathogenesis of pancreatic cancer as "dampness-heat" and the respective treatment "clearing heat and resolving dampness" has been demonstrated to prolong survival in pancreatic cancer patients, as has been observed in many other cancers. This clinical advantage encourages an exploration of the essence of dampness-heat ZHENG (DHZ) in cancer and investigation into underlying mechanisms of action of herbal formulations against dampness-heat. However, at present, there is a lack of understanding of the molecular characteristics of DHZ in cancer and no standardized and widely accepted animal model to study this core syndrome in vivo. The shortage of animal models limits the ability to uncover the antitumor mechanisms of herbal medicines and to assess the safety profile of the natural products derived from them. This review summarizes the current research on DHZ in cancer in terms of the clinical aspects, molecular landscape, and animal models. This study aims to provide comprehensive insight that can be used for the establishment of a future standardized ZHENG-based cancer animal model.
Animals ; Humans ; Medicine, Chinese Traditional ; Hot Temperature ; Pancreatic Neoplasms/therapy* ; Models, Animal ; Syndrome