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.

This study compared the differences in intestinal absorption characteristics of eleven active components in Rubus multibracteatus(RM) extract(protocatechuic acid, tiliroside, scutellarin, luteoloside, astragalin, epicatechin, catechin, xanthotoxin, p-coumaric acid, caffeic acid, and apigenin-7-O-glucuronide) between normal rats and inflammatory pain model rats using the in-vitro everted intestinal sac model. The RM extract was administered at absorption concentrations of 25.0, 50.0, and 100.0 mg·mL~(-1). The contents of the eleven components in intestinal absorption solution samples were quantified by ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS), and their cumulative absorption(Q) and absorption rate constant(K_a) were calculated to evaluate the absorption characteristics of these components in normal rats and inflammatory pain model rats. The results show that except for catechin, epicatechin, and caffeic acid, the cumulative absorption-time curves of the other eight components(protocatechuic acid, tiliroside, scutellarin, luteoloside, astragalin, xanthotoxin, p-coumaric acid, and apigenin-7-O-glucuronide) exhibit an upward trend without saturation, with correlation coefficients(R~2) all > 0.9, indicating linear absorption. However, the overall absorption of all components is not dose-dependent with increasing concentration, suggesting that their absorption mechanisms are not solely passive diffusion. In both normal and model rats, the jejunum shows the highest absorption for all components except xanthotoxin. The overall absorption of seven components(excluding protocatechuic acid, caffeic acid, apigenin-7-O-glucuronide, and luteoloside) in normal rats is better than that in model rats across all intestinal segments. These findings indicate that the pathological state of inflammatory pain alters the intestinal absorption of RM extract, and its mechanism needs further investigation.
Animals ; Rats ; Intestinal Absorption/drug effects* ; Male ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/metabolism* ; Disease Models, Animal ; Pain/metabolism* ; Intestines/drug effects* ; Intestinal Mucosa/metabolism*

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVES: To explore the therapeutic mechanism of Guizhi Fuling (GZFL) Pellets against cervical cancer. METHODS: Publicly available databases were used to identify the targets of GZFL Pellets and cervical cancer to construct the protein-protein interaction (PPI) network, followed by GO biological process and KEGG pathway enrichment analysis of the hub genes. The "Traditional Chinese Medicine-Active Ingredients-Targets-Pathways" network for GZFL Pellets in cervical cancer treatment was generated using Cytoscape v10.0.0, and molecular docking of the drug and potential targets was performed to predict the specific targets of active components in Guizhi Fuling Pellets. The inhibitory effects of hederagenin, an active ingredient in GZFL Pellets, was tested in cultured cervical cancer cells and in nude mice bearing cervical cancer xenografts. RESULTS: GZFL Pellets contain 338 active components targeting 247 action sites. A total of 10127 cervical cancer-related targets were obtained, and among them 195 were identified as potential therapeutic targets of GZFL Pellets for cervical cancer treatment, including the key targets of GABRA1, PTK2, JAK2, HTR3A, GSR, and IL-17. Molecular docking study showed low binding energies of the active components such as hederagenin, campesterol, and stigmasterol for protein-molecule interaction. GO enrichment analysis suggested that GZFL Pellets inhibited cervical cancer primarily by regulating responses to steroid hormones, oxidative stress, and lipopolysaccharides. Among the active components of GZFL Pellets, hederagenin was found to inhibit cervical cancer cells in vitro and significantly reduced STAT3 phosphorylation level in the cancer cells. In nude mice bearing cervical cancer xenografts, hederagenin effectively inhibited tumor growth rate without causing obvious adverse effects. CONCLUSIONS GZFL Pellets inhibit cervical cancer cell growth through its multiple active components that target different pathways. Among these components, hederagenin inhibits tumor cell growth possibly by directly binding to JAK2 protein to inhibit STAT3 phosphorylation.
Female ; Animals ; Uterine Cervical Neoplasms/pathology* ; Mice, Nude ; Humans ; Mice ; Oleanolic Acid/therapeutic use* ; Drugs, Chinese Herbal/therapeutic use* ; Molecular Docking Simulation ; Xenograft Model Antitumor Assays ; Cell Line, Tumor ; STAT3 Transcription Factor/metabolism* ; Protein Interaction Maps ; Janus Kinase 2/metabolism*

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

ObjectiveTo prepare oral nanoemulsions encapsulating essential oil from Alpinia zerumbet fructus（EOFAZ） and to investigate its pro-absorption effect in vitro and distribution in vivo. MethodThe proteoglycan conjugate polysaccharides of vinegar-processed Bupleuri Radix-bovine serum albumin（VBCP-BSA） was prepared by Maillard reaction of VBCP and BSA. Taking VBCP-BSA as emulsifier， vitamin B₁₂（VB₁₂） as absorption enhancer， and medium chain triglycerides mixed with EOFAZ as oil phase， the nanoemulsions loaded with EOFAZ was prepared by high energy emulsification method. The particle size， particle size distribution， surface Zeta potential， EOFAZ content and appearance and morphology of the nanoemulsions were characterized， and fluorescein tracer method was used to investigate the absorption effect of fluorescein-labeled EOFAZ nanoemulsions in vitro and their distribution in vivo. ResultVBCP-BSA was formed by Maillard reaction for 48 h with high grafting rate. Using VBCP-BSA as emulsifier， the homogeneous pink nanoemulsions was prepared and denoted as EOFAZ@VBCP-BSA/VB₁₂. The particle size of the nanoemulsions was less than 100 nm and the particle size distribution was uniform. The surface of the nanoemulsions was a weak negative charge， and the shape was spherical. The encapsulation rate of the nanoemulsions for EOFAZ was greater than 80%， which had a good absorption effect in vitro and could enhance liver accumulation after oral administration. ConclusionThe designed proteoglycan nanoemulsions can effectively load EOFAZ， promote oral absorption and enhance liver distribution， which can provide experimental basis for the development of oral EOFAZ liver protection preparations.

Objective:To investigate the change of collagen fibers in locally recurrent esophageal squamous cell carcinoma after radical chemoradiotherapy and the discrepancy of adverse effects and survival outcomes among groups with different salvage treatments, provide references for the options of salvage therapy.Methods:Medical records of 137 patients with esophageal squamous cell carcinoma who received radical chemoradiotherapy and had local recurrence admitted to Cancer Center of Renmin Hospital of Wuhan University from January 2015 to September 2022 were retrospectively collected. The expression of collagen fibers in paraffin samples of cases with different recurrence time was determined by Masson staining, and the differences of the average optical density were calculated. According to the salvage treatment after local recurrence, all cases were divided into the salvage surgery group, second-course chemoradiotherapy group and immunochemotherapy group. The differences of survival outcomes and incidence rates of esophageal tracheal fistula, hemorrhage, pericardial effusion, radiation pneumonitis, radiation esophagitis were analyzed among the three groups. The differences of survival rates were analyzed by Kaplan-Meier method and compared by log-rank test among groups.Results:The expression of collagen fibers in recurrent esophageal squamous cell carcinoma was significantly higher than that in primary esophageal squamous cell carcinoma. Collagen fiber expression was gradually down-regulated with the prolongation of recurrence time. The expression of collagen fibers in recurrent cases after 7 years was similar to that of primary esophageal squamous cell carcinoma. The 1-, 2- and 3-year survival rates of patients in the salvage surgery group, the second-course chemoradiotherapy group and the immunochemotherapy group were 47%, 30%, 20%; 50%, 27%, 15% and 72.5%, 50%, 50%, respectively; Immunochemotherapy was more effective in salvage treatment for recurrent esophageal squamous cell carcinoma, but there was no statistical difference.Conclusions:Collagen fibers are abundant in recurrent esophageal squamous cell carcinoma after radical chemoradiotherapy. With prolongation of recurrent interval, the expression of collagen fibers is down-regulated. The survival outcomes of patients in the immunochemotherapy group, salvage surgery group and second-course chemoradiotherapy group were comparable.

Objective To investigate the role of squalene epoxidase(SQLE)knockout in anti-tumor effect vial im-proving CD8+T cell infiltration in melanoma tumor microenvironment.Methods Both immunodeficient and immu-nocompetent mice were inoculated with SQLE knockout B16F10 cells to determine the cell-autonomous and non-au-tonomous regulation of malignancy.Antibody blockade,Luminex multiplex assays,and flow cytometry were em-ployed to explore the impact of SQLE gene knockout on the secretion of cytokines/chemokines and immune cell in-filtration.Bioinformatics analysis was conducted to validate the correlation between SQLE expression and immune infiltration as well as clinical prognosis in melanoma patients.Results Compared with immunodeficient mice,SQLE knockout significantly inhibited melanoma proliferation in immunocompetent mice and prolonged their surviv-al.SQLE knockout induced the secretion of cytokines and chemokines from tumor cells,improved CD8+T cell in-filtration in the tumor microenvironment,thereby potentiating anti-tumor immunity.Bioinformatics analysis sugges-ted a significant correlation between SQLE and its corresponding immune infiltration markers with the prognosis of melanoma patients.Conclusion SQLE regulates anti-tumor immunity by controlling cytokines and chemokines re-leasing in tumor microenvironment,thus holding promise as a novel tumor immunotherapy target and efficacy predic-tion molecular indicator.