OBJECTIVE: To investigate the effects of Bushen Huoxue Granule on the ubiquitin-proteasome system (UPS) in an in vitro model of Parkinson's disease. METHODS: After treated with 1-methyl-4-phenylpyridinium (MPP⁺, 1 mmol/L) for 24 h, the cells were incubated with drug-free serum, Madopar-containing serum or Bushen Huoxue Granule-containing serum (BCS, 5%, 10%, and 20%) for another 24 h. The levels of α-synuclein (α-syn), tyrosine hydroxylase (TH) and UPS-related proteins were detected by Western blot. The expression levels of α-syn in PC12 cells were also analyzed by Western blot after treated with proteasome inhibitor MG132 and WT-α-syn plasmid transfection, respectively, as well as the alterations induced by subsequent BCS intervention. Immunocytochemistry was performed to determine the changes in α-syn phosphorylation at serine 129 (pSer129-α-syn) expression. The 20S proteasome levels were measured by enzyme-linked immunosorbnent assay. RESULTS: BCS (volume fraction ⩽20%) intervention could alleviate the MMP⁺-induced cell viability decrease (P<0.05). In the MPP⁺ treated cells, α-syn was up-regulated, while TH and proteins of UPS such as ubiquitin (Ub), Ub binding with Ub-activating enzyme (UBE1), Parkin and Ub C-terminal hydrolase-1 (UCHL-1) were down-regulated (P<0.05). BCS intervention could attenuate the above changes (P<0.05). The activity of BCS on blocking α-syn accumulation was weakened by MG132 (P<0.05). While α-syn level was significantly increased in cells transfected with plasmid, and reduced by BCS intervention (P<0.05). pSer129-α-syn was increased in MPP⁺-induced PC12 cells, whereas decreased by later BCS intervention (P<0.05). The 20S proteasome activity of MPP⁺-induced PC12 cells was decreased, but increased after BCS intervention (P<0.05). CONCLUSION BCS intervention protected UPS function, increased 20S proteasome activity, promoted pathological α-syn clearance, restored cell viability, and reversed the damage caused by MPP⁺ in the in vitro model of Parkinson's disease.
PC12 Cells ; alpha-Synuclein/metabolism* ; Rats ; Animals ; 1-Methyl-4-phenylpyridinium/toxicity* ; Proteasome Endopeptidase Complex/metabolism* ; Drugs, Chinese Herbal/pharmacology* ; Ubiquitin/metabolism* ; Cell Survival/drug effects* ; Phosphorylation/drug effects* ; Tyrosine 3-Monooxygenase/metabolism*

Medical engineering in TCM medical institutions in Guizhou Province was described in terms of its development status and problems in functional positioning,professional title appraisal,unbalanced staff composition and discipline foun-dation.Some suggestions were put forward including determining the functional positioning and management mode of medical engineering institutions,promoting the professional title system for medical engineering staffs,strengthening medical engineering team and enhancing medical engineering discipline.References were provided for the development of medical engineering in TCM medical institutions in Guizhou Province.[Chinese Medical Equipment Journal,2025,46(5):84-90]

Objective:To construct a risk warning model for severe mycoplasma pneumoniae pneumonia(SMPP)children based on clinical data,laboratory indicators and imaging indicators.Methods:162 Mycoplasma pneumoniae pneumonia(MPP)children who were admitted in Foshan Women and Children Hospital from January 2021 to December 2023 were selected,64 SMPP children were included in severe group,the remaining 98 children were included in mild group.The general data,laboratory indicators and imaging indicators of the children were collected.The influencing factors for the occurrence of SMPP were analyzed by univariate and multivariate logistic regression models,and a risk warning model for the occurrence of SMPP children was constructed based on multivariate logistic regression model.The predictive value of the risk warning model for the occurrence of SMPP were analyzed by receiver operating characteristic(ROC)curve.Results:The proportion of 3 years old ≤ age＜6 years old,course of disease,body temperature,fever course,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),lactate dehydrogenase(LDH),cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations in severe group were significantly higher than those in mild group(P＜0.05),there were no significant differences in gender,white blood cell count(WBC),neutrophil ratio and procalcitonin(PCT)between the two groups(P＞0.05).Multivariate logistic regression analysis model showed that,3 years old ≤age＜6 years old,high body temperature,long fever course,CRP elevated,ESR elevated,LDH elevated,cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations were risk factors for the occurrence of SMPP(P＜0.05).ROC curve analysis showed that,the area under the curve(AUC)of the risk warning model was 0.829,the sensitivity was 84.82％,and the specificity was 78.15％,the actual prediction curve of the risk warning model was in good agreement with the prediction curve,the decision curve showed that,the threshold probability range of the model was 4.61％～88.14％.Conclusion:The risk warning model based on clinical multi parameters such as general data,laboratory indicators and imaging indicators has certain predictive value for the occurrence of SMPP.

Objective:To construct a risk warning model for severe mycoplasma pneumoniae pneumonia(SMPP)children based on clinical data,laboratory indicators and imaging indicators.Methods:162 Mycoplasma pneumoniae pneumonia(MPP)children who were admitted in Foshan Women and Children Hospital from January 2021 to December 2023 were selected,64 SMPP children were included in severe group,the remaining 98 children were included in mild group.The general data,laboratory indicators and imaging indicators of the children were collected.The influencing factors for the occurrence of SMPP were analyzed by univariate and multivariate logistic regression models,and a risk warning model for the occurrence of SMPP children was constructed based on multivariate logistic regression model.The predictive value of the risk warning model for the occurrence of SMPP were analyzed by receiver operating characteristic(ROC)curve.Results:The proportion of 3 years old ≤ age＜6 years old,course of disease,body temperature,fever course,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),lactate dehydrogenase(LDH),cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations in severe group were significantly higher than those in mild group(P＜0.05),there were no significant differences in gender,white blood cell count(WBC),neutrophil ratio and procalcitonin(PCT)between the two groups(P＞0.05).Multivariate logistic regression analysis model showed that,3 years old ≤age＜6 years old,high body temperature,long fever course,CRP elevated,ESR elevated,LDH elevated,cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations were risk factors for the occurrence of SMPP(P＜0.05).ROC curve analysis showed that,the area under the curve(AUC)of the risk warning model was 0.829,the sensitivity was 84.82％,and the specificity was 78.15％,the actual prediction curve of the risk warning model was in good agreement with the prediction curve,the decision curve showed that,the threshold probability range of the model was 4.61％～88.14％.Conclusion:The risk warning model based on clinical multi parameters such as general data,laboratory indicators and imaging indicators has certain predictive value for the occurrence of SMPP.

Medical engineering in TCM medical institutions in Guizhou Province was described in terms of its development status and problems in functional positioning,professional title appraisal,unbalanced staff composition and discipline foun-dation.Some suggestions were put forward including determining the functional positioning and management mode of medical engineering institutions,promoting the professional title system for medical engineering staffs,strengthening medical engineering team and enhancing medical engineering discipline.References were provided for the development of medical engineering in TCM medical institutions in Guizhou Province.[Chinese Medical Equipment Journal,2025,46(5):84-90]

Endo-beta-N-acetylglucosaminidase (ENGase) is widely distributed in various organisms. The first reported ENGase activity was detected in Diplococcus pneumoniae in 1971. The protein (Endo D) was purified and its peptide sequence was determined in 1974. Three ENGases (Endo F1-F3) were discovered in Flavobacterium meningosepticum from 1982 to 1993. After that, the activity was detected from different species of bacteria, yeast, fungal, plant, mice, human, etc. Multiple ENGases were detected in some species, such as Arabidopsis thaliana and Trichoderma atroviride. The first preliminary crystallographic analysis of ENGase was conducted in 1994. But to date, only a few ENGases structures have been obtained, and the structure of human ENGase is still missing. The currently identified ENGases were distributed in the GH18 or GH85 families in Carbohydrate-Active enZyme (CAZy) database. GH18 ENGase only has hydrolytic activity, but GH85 ENGase has both hydrolytic and transglycosylation activity. Although ENGases of the two families have similar (β/α)8-TIM barrel structures, the active sites are slightly different. ENGase is an effective tool for glycan detection andglycan editing. Biochemically, ENGase can specifically hydrolyze β‑1,4 glycosidic bond between the twoN-acetylglucosamines (GlcNAc) on core pentasaccharide presented on glycopeptides and/or glycoproteins. Different ENGases may have different substrate specificity. The hydrolysis products are oligosaccharide chains and a GlcNAc or glycopeptides or glycoproteins with a GlcNAc. Conditionally, it can use the two products to produce a new glycopeptides or glycoprotein. Although ENGase is a common presentation in cell, its biological function remains unclear. Accumulated evidences demonstrated that ENGase is a none essential gene for living and a key regulator for differentiation. No ENGase gene was detected in the genomes of Saccharomyces cerevisiae and three other yeast species. Its expression was extremely low in lung. As glycoproteins are not produced by prokaryotic cells, a role for nutrition and/or microbial-host interaction was predicted for bacterium produced enzymes. In the embryonic lethality phenotype of the Ngly1-deficient mice can be partially rescued by Engase knockout, suggesting down regulation of Engase might be a solution for stress induced adaptation. Potential impacts of ENGase regulation on health and disease were presented. Rabeprazole, a drug used for stomach pain as a proton inhibitor, was identified as an inhibitor for ENGase. ENGases have been applied in vitro to produce antibodies with a designated glycan. The two step reactions were achieved by a pair of ENGase dominated for hydrolysis of substrate glycoprotein and synthesis of new glycoprotein with a free glycan of designed structure, respectively. In addition, ENGase was also been used in cell surface glycan editing. New application scenarios and new detection methods for glycobiological engineering are quickly opened up by the two functions of ENGase, especially in antibody remodeling and antibody drug conjugates. The discovery, distribution, structure property, enzymatic characteristics and recent researches in topical model organisms of ENGase were reviewed in this paper. Possible biological functions and mechanisms of ENGase, including differentiation, digestion of glycoproteins for nutrition and stress responding were hypothesised. In addition, the role of ENGase in glycan editing and synthetic biology was discussed. We hope this paper may provide insights for ENGase research and lay a solid foundation for applied and translational glycomics.

Objective:To explore the effects of hypoxia on traumatic brain swelling (TBS) in rats with acute subdural hematoma (ASDH).Methods:Forty-five SD rats were divided into 5 groups according to the random number table method, with 9 rats in each group: sham surgery normal oxygen group which underwent sham surgical procedures and were placed in a closed container with ventilation, sham surgery hypoxia group which underwent sham surgical procedures and were placed in a closed container with oxygen volume fraction of 8% for hypoxia induction, ASDH normal oxygen group which made into the ASDH model and placed in a closed container with ventilation, ASDH hypoxia group were made into the ASDH models and placed in a closed container with oxygen volume fraction of 8% for hypoxia induction, and ASDH hypoxia+oxygen inhalation group which inhaled oxygen continuously with oxygen volume fraction of 40% after being made into the ASDH models and induced for hypoxia. Six rats were selected from each group immediately after the modeling and craniotomy was performed to observe the brain swelling during the surgery and evaluate the degree of TBS. Microvascular blood flow was observed by laser speckle imaging system before modeling, before craniotomy, and immediately after craniotomy. The remaining 3 rats in each group were killed directly after modeling and brain tissue specimens were collected. The expression levels of pericellular protein α-smooth muscle actin (α-SMA) and platelet-derived growth factor receptor-β (PDGFR-β) at 0, 30 and 60 minutes after modeling were detected through Western blot analysis. The expression levels of α-SMA, PDGFR-β and microvascular marker platelet-endothelial cell adhesion molecule 31 (CD31) at 0 minute after modeling were tested through immunofluorescent staining.Results:No brain bulge was observed in the sham surgery normal oxygen group. The height of brain bulge in sham surgery hypoxia group was 0.5(0.0, 1.0)mm, with no significant difference from that in the sham surgery normal oxygen group ( P>0.05); it was 2.2(2, 2.5)mm in the ASDH normal oxygen group, significantly higher than that in the sham surgery normal oxygen group and sham surgery hypoxia group ( P<0.01), it was 3.1(2.9, 3.2)mm in the ASDH hypoxia group, significantly higher than that in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group ( P<0.01); it was 2.8(2.7, 2.9)mm in the ASDH hypoxia+oxygen inhalation group, not statistically different from that in the ASDH hypoxia group ( P>0.05), but significantly increased compared with that in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group ( P<0.01). Before modeling, before craniotomy and after craniotomy, the microvascular blood flow was 224.2±49.7, 224.8±50.3, 225.1±50.3 respectively in the sham surgery normal oxygen group and 224.7±43.7, 220.9±45.9, 221.8±45.5 respectively in the sham surgery hypoxia group, with no significant difference between the two groups ( P>0.05); it was 226.5±52.7, 173.4±40.7, 172.0±40.7 respectively in the ASDH normal oxygen group, significantly decreased compared with that in the sham surgery normal oxygen group and sham surgery hypoxia group ( P<0.05); it was 225.7±46.4, 131.4±23.6 and 131.0±23.5 respectively in the ASDH hypoxia group, significantly decreased compared with that in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group ( P<0.05); it was 226.2±56.1, 132.6±21.7 and 131.7±21.9 respectively in ASDH hypoxia+oxygen inhalation group, significantly decreased compared with that in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group ( P<0.05), with no significant difference from that in the ASDH hypoxia group ( P>0.05). At 0, 30 and 60 minutes after modeling, the expression levels of α-SMA and PDGFR-β were 0.70±0.02, 0.67±0.01, 0.55±0.05 and 0.65±0.03, 0.56±0.03 and 0.59±0.02 respectively in the sham surgery normal oxygen group and were 0.63±0.04, 0.60±0.01 0.55±0.05 and 0.62±0.01, 0.51±0.01 and 0.60±0.02 respectively in the sham surgery hypoxia group, with no significant difference between the two groups ( P>0.05); they were 0.88±0.06, 0.87±0.05, 0.82±0.03 and 0.85±0.03, 0.85±0.03, 0.88±0.04 respectively in the ASDH normal oxygen group, significantly higher than those in the sham surgery normal oxygen group and sham surgery hypoxia group ( P<0.01); they were 1.19±0.08, 1.10±0.10, 0.97±0.04 and 1.04±0.06, 1.19±0.07, 1.27±0.08 respectively in the ASDH hypoxia group, significantly higher than those in sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group ( P<0.05 or 0.01); they were 1.20±0.07, 1.10±0.04, 0.96±0.04 and 1.04±0.05, 1.15±0.11, 1.20±0.07 respectively in ASDH hypoxia+oxygen inhalation group, significantly higher than those in sham surgery normal oxygen group, sham surgery normal group and ASDH normal oxygen group ( P<0.01), but with no significant difference from those in ASDH hypoxia group ( P>0.05). At 0 minute after modeling, the fluorescence expression of α-SMA and PDGFR-β was weaker in the sham surgery normal oxygen group and the fluorescence expression of CD31 was stronger. There was no significant difference in the fluorescence expressions of α-SMA, PDGFR-β and CD31 between the sham surgery hypoxia group and sham surgery normal oxygen group. The fluorescence expressions of α-SMA and PDGFR-β in the ASDH normal oxygen group were stronger than those in the sham surgery normal oxygen group and sham surgery hypoxia group, while the fluorescence expression of CD31 was weaker. The fluorescence expressions of α-SMA and PDGFR-β in ASDH hypoxia group were stronger than those in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group, while the fluorescence expression of CD31 was weaker. The fluorescence expressions of α-SMA and PDGFR-β in the ASDH hypoxia+oxygen inhalation group were stronger than those in the sham surgery normal oxygen group, sham surgery hypoxia group and ASDH normal oxygen group, while the fluorescence expression of CD31 was weaker, with no significant difference from the fluorescence expressions of α-SMA, PDGFR-β and CD31 in ASDH hypoxia group. Conclusions:Hypoxia in ASDH rats will stimulate pericytes contraction, which causes cerebral microcirculatory disturbance, thus leading to TBS. Short-term inhalation of oxygen of medium concentration cannot dilate pericytes or microcirculation vessels, with no obvious effect on improving the conditions of TBS.

OBJECTIVE: To investigate the efficacy of posterior axillary approach internal fixation for Ideberg Ⅰa andⅡ glenoid fractures. METHODS: From December 2018 to September 2021, 9 patients with lower part of glenoid fractures were treated by posterior axillary approach, including 3 males and 6 females, aged from 50 to 78 years old. All the fractures were closed fractures. According to Ideberg type of scapular glenoid fracture was type Ⅰa in 6 cases and type Ⅱ in 3 cases. AP and lateral X-ray films of scapula were taken at 6, 12 weeks and 6 and 12 months postoperatively. Constant-Murley and disabilities of the arm shoulder and hand (DASH), and other complications were recorded at the latest follow-up. RESULTS: Nine patients were followed up, ranged from 6 to 15 months. And bone healing was achieved in all 9 patients at the final follow-up, the healing time 3 to 6 months, Constant-Murley score at the final follow-up ranged from 55 to 96, and DASH score ranged from 3.33 to 33.33. Both of them were better than preoperative. CONCLUSION The posterior axillary approach internal fixation for Ideberg Ⅰa and Ideberg Ⅱ Glenoid fractures scapular fracture is satisfactory and worthy of clinical application.
Male ; Female ; Humans ; Middle Aged ; Aged ; Fractures, Bone/surgery* ; Fracture Fixation, Internal ; Shoulder/surgery* ; Scapula/surgery* ; Shoulder Fractures ; Fractures, Closed ; Treatment Outcome ; Retrospective Studies

Objective: To investigate the clinical value of plasma scaffold protein SEC16A level and related models in the diagnosis of hepatitis B virus-related liver cirrhosis (HBV-LC) and hepatocellular carcinoma (HBV-HCC). Methods: Patients with HBV-LC and HBV-HCC and a healthy control group diagnosed by clinical, laboratory examination, imaging, and liver histopathology at the Third Hospital of Hebei Medical University between June 2017 and October 2021 were selected. Plasma SEC16A level was detected using an enzyme-linked immunosorbent assay (ELISA). Serum alpha-fetoprotein (AFP) was detected using an electrochemiluminescence instrument. SPSS 26.0 and MedCalc 15.0 statistical software were used to analyze the relationship between plasma SEC16A levels and the occurrence and development of liver cirrhosis and liver cancer. A sequential logistic regression model was used to analyze relevant factors. SEC16A was established through a joint diagnostic model. Receiver operating characteristic curve was used to evaluate the clinical efficacy of the model for liver cirrhosis and hepatocellular carcinoma diagnosis. Pearson correlation analysis was used to identify the influencing factors of novel diagnostic biomarkers. Results: A total of 60 cases of healthy controls, 60 cases of HBV-LC, and 52 cases of HBV-HCC were included. The average levels of plasma SEC16A were (7.41 ± 1.66) ng/ml, (10.26 ± 1.86) ng/ml, (12.79 ± 1.49) ng /ml, respectively, with P < 0.001. The sensitivity and specificity of SEC16A in the diagnosis of liver cirrhosis and hepatocellular carcinoma were 69.44% and 71.05%, and 89.36% and 88.89%, respectively. SEC16A, age, and AFP were independent risk factors for the occurrence of HBV-LC and HCC. SAA diagnostic cut-off values, sensitivity, and specificity were 26.21 and 31.46, 77.78% and 81.58%, and 87.23% and 97.22%, respectively. The sensitivity and specificity for HBV-HCC early diagnosis were 80.95% and 97.22%, respectively. Pearson correlation analysis showed that AFP level was positively correlated with alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBil), and γ-glutamyltransferase (GGT) with P < 0.01, while the serum SEC16A level was only slightly positively correlated with ALT and AST in the liver cirrhosis group (r = 0.268 and 0.260, respectively, P < 0.05). Conclusion: Plasma SEC16A can be used as a diagnostic marker for hepatitis B-related liver cirrhosis and hepatocellular carcinoma. SEC16A, combined with age and the AFP diagnostic model with SAA, can significantly improve the rate of HBV-LC and HBV-HCC early diagnosis. Additionally, its application is helpful for the diagnosis and differential diagnosis of the progression of HBV-related diseases.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; alpha-Fetoproteins/metabolism* ; Endoplasmic Reticulum/metabolism* ; Golgi Apparatus/metabolism* ; Vesicular Transport Proteins ; Liver Cirrhosis/complications* ; Hepatitis B/complications* ; ROC Curve ; Hepatitis B virus/metabolism* ; Biomarkers, Tumor

ObjectiveThis study aims to explore the potential molecular mechanism of Gegen Qinliantang （GQL） in the intervention of atherosclerosis （AS） based on network pharmacology and molecular docking. MethodThe active components and targets of each medicinal in GQL were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， and AS-related genes from 7 databases. Thereby， the anti-AS targets of GQL were screened out. Cytoscape 3.8.0 was employed to construct the "component-target" network， and STRING the protein-protein interaction （PPI） network. Core targets were screened out with CytoNCA. R clusterProfiler was used for Gene Ontology （GO） term enrichment and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment of target genes， which were then visualized. Finally， molecular docking of the top ten active components with the core targets of AS was performed and the binding affinity was compared with that between atorvastatin and the core targets. ResultIn the end， 150 active components of GQL， 20 289 AS targets， and 213 common targets were retrieved， and 48 core common targets were screened out. They were mainly involved in the GO terms of nuclear receptor activity， ligand activation， and transcription factor activity and the pathways of fluid shear force and AS， advanced glycation end products-receptor for advanced glycation end products （AGE/RAGE）， interleukin-17 （IL-17）， tumor necrosis factor （TNF）， Toll-like receptor pathways and other signaling pathways closely related to AS. The molecular docking results showed that the effective components of GQL had high binding affinity to core targets of AS， and the binding affinity was even higher than that between the atorvastatin and core targets. The five groups with high binding affinity were puerarin-TNF， baicalein-inducible nitric oxide synthase 2 （NOS2）， puerarin-NOS2， and formononetin-NOS2， wogonin-NOS2. ConclusionThe above result provides new ideas for further exploration of this classical decoction.