Extracellular elastase-like protease is one of the key virulence proteases of <i>Scedosporium aurantiacumi>. To date, little is known about this enzyme in terms of genetic information, structure, properties and virulence mechanism due to the difficulties in purification caused by its low secretion amount, high specific activity, uncompleted genome sequencing and annotation. This work investigated the gene, structure and enzymatic properties of this enzyme. The <i>Si>. <i>aurantiacumi> elastase-like protease from the fungal culture supernatant was analyzed through tandem mass spectrometry (MS/MS) approach, illustrating its primary structure. Bioinformatics tools were employed to predict the conserved domain and tertiary structure, the enzymatic properties were also studied. It turned out that <i>Si>. <i>aurantiacumi> extracellular elastase-like protease demonstrated well hydrolysis towards elastin and bovine achilles tendon collagen, with <i>Vi>_max of 18.14 μg/s and 17.57 μg/s respectively, better than fish scale gelatin, with the lowest hydrolysis effect on casein. Its activity towards elastin was lower than that of the elastase from porcine pancreas, with values of <i>Ki>_cat/<i>Ki>_m of 3.541 (μg/s) and 4.091 (μg/s), respectively. It was an alkaline protease, with optimal pH 8.2 and temperature 37 ^oC. Zn²⁺ promoted the enzymatic activity while Ca²⁺, Mg²⁺, Na⁺, elastatinal and PMSF inhibited its activity. Its sequence was similar to <i>Paecilomyces lilacinusi> secreted serine protease (PDB Entry: c3f7oB_) with multiple conserved fractions each containing more than 7 amino acids, thus suitable for design of PCR primer. This study increased our knowledge on <i>Si>. <i>aurantiacumi> extracellular elastase-like protease in terms of structure and enzymatic properties, and may facilitate later studies on protein expression and virulence mechanism.
Animals ; Cattle ; Pancreatic Elastase/genetics* ; Elastin/genetics* ; Tandem Mass Spectrometry ; Serine Proteases/genetics*

Objective To explore the effect of formononetin on immunity of mice with transplanted H22 hepatocarcinoma. Methods Male C57BL/6 mice were subcutaneously inoculated with H22 cells (4×10⁵) to establish a tumor-bearing mouse model. The mice were treated with formononetin [10 mg/(kg.d)] or [50 mg/(kg.d)] for 28 days, and then the tumor inhibition rate was calculated. Carrilizumab was used as a positive control drug. The expressions of CD8, granzyme B and forkbox transcription factor 3 (FOXP3) in HCC tissues were analyzed by immunohistochemical staining. The mRNA and protein expression of programmed cell death protein 1 (PD-1) and its ligand 1 (PD-L1) in HCC tissues were detected by real-time PCR or Western blot analysis, respectively. The serum levels of interleukin-10 (IL-10) and transforming growth factor-β (TGF-β) were detected by ELISA. Results Formononetin increased the tumor inhibition rate and the positive rate of CD8 and granzyme B staining in tumor-bearing mice. There was no significant difference in the positive rate of FOXP3 staining in tumor tissues of mice in each group. Formononetin decreased the levels of IL-10 and TGF-β in serum of tumor-bearing mice, and decreased the relative expression of mRNA and protein of PD-1 and PD-L1 in tumor tissue of tumor-bearing mice. Conclusion Formononetin can activate CD8⁺ T cells and reduce the release of immunosuppressive factors in regulatory T cells by blocking PD-1/PD-L1 pathway and play an antitumor role.
Male ; Animals ; Mice ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/genetics* ; Interleukin-10/genetics* ; B7-H1 Antigen ; Granzymes/genetics* ; Programmed Cell Death 1 Receptor/metabolism* ; CD8-Positive T-Lymphocytes/metabolism* ; Mice, Inbred C57BL ; Transforming Growth Factor beta/genetics* ; RNA, Messenger/metabolism* ; Forkhead Transcription Factors/genetics* ; Cell Line, Tumor

OBJECTIVE: To interpret the pharmacology of quercetin in treatment of atherosclerosis (AS). METHODS: Fourteen apolipoprotein E-deficient (ApoE^-/-) mice were divided into 2 groups by a random number table: an AS model (ApoE^-/-) group and a quercetin treatment group (7 in each). Seven age-matched C57 mice were used as controls (n=7). Quercetin [20 mg/(kg·d)] was administered to the quercetin group intragastrically for 8 weeks for pharmacodynamic evaluation. Besides morphological observation, the distribution of CD11b, F4/80, sirtuin 1 (Sirt1) and P21 was assayed by immunohistochemistry and immunofluorescence to evaluate macrophage infiltration and tissue senescence. Ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MSC/MS) was performed to study the pharmacology of quercetin against AS. Then, simultaneous administration of an apelin receptor antagonist (ML221) with quercetin was conducted to verify the possible targets of quercetin. Key proteins in apelin signaling pathway, such as angiotensin domain type 1 receptor-associated proteins (APJ), AMP-activated protein kinase (AMPK), peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α), tissue plasminogen activator (TPA), uncoupling protein 1 (UCP1) and angiotensin II receptor 1 (AT1R), were assayed by Western blot. RESULTS: Quercetin administration decreased lipid deposition in arterial lumen and improved the morphology of ApoE^-/- aortas in vivo. Quercetin decreased the densities of CD11b, F4/80 and P21 in the aorta and increased the level of serum apelin and the densities of APJ and Sirt1 in the aorta in ApoE^-/- mice (all P<0.05). Plasma metabolite profiling identified 118 differential metabolites and showed that quercetin affected mainly glycerophospholipids and fatty acyls. Bioinformatics analysis suggested that the apelin signaling pathway was one of the main pathways. Quercetin treatment increased the protein expressions of APJ, AMPK, PGC-1α, TPA and UCP1, while decreased the AT1R level (all P<0.05). After the apelin pathway was blocked by ML221, the effect of quercetin was abated significantly, confirming that quercetin attenuated AS by modulating the apelin signaling pathway (all P<0.05). CONCLUSION Quercetin alleviated AS lesions by up-regulation the apelin signaling pathway.
Mice ; Animals ; Apelin ; Tissue Plasminogen Activator/metabolism* ; Quercetin/therapeutic use* ; AMP-Activated Protein Kinases/metabolism* ; Sirtuin 1/metabolism* ; Signal Transduction/physiology* ; Atherosclerosis/metabolism* ; Apolipoproteins E

OBJECTIVE: To establish a machine learning model to predict the risk of early neurological deterioration (END) based on the clinical and laboratory data of patients with acute ischemic stroke (AIS) before intravenous thrombolysis. METHODS: The clinical data of AIS patients who received intravenous thrombolytic with recombinant tissue plasminogen activator (rt-PA) at the Stroke Center of the First Hospital of Qinhuangdao City from January 2019 to July 2022 were retrospectively analyzed. Patients were divided into END group and non-END group according to whether END appeared after intravenous thrombolytic. Clinical data of patients at admission were collected, including demographic characteristics, clinical evaluation, comorbidification, drug use history, laboratory tests, etc. Univariate and multivariate Logistic regression analysis were performed to screen out the independent predictors of the END of AIS patients after intravenous thrombolytic. The study subjects were randomly divided into a training set and a test set in a 7 : 3 ratio. Four machine learning prediction models, including Logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM) and random forest (RF), were established based on independent predictors. The receiver operator characteristic curve (ROC curve) was used to evaluate the predictive ability of each model in END. RESULTS: A total of 704 patients were enrolled, of whom 99 were identified as END and 605 as non-END. Univariate and multivariate Logistic regression analysis was used to screen out the National Institutes of Health stroke scale [NIHSS, odds ratio (OR) = 1.049, 95% confidence interval (95%CI) was 1.015-1.082, P = 0.004], systolic blood pressure (OR = 1.013, 95%CI was 1.004-1.022, P = 0.004), lymphocyte percentage (LYM%, OR = 0.903, 95%CI was 0.853-0.953, P < 0.001), platelet to lymphocyte ratio (PLR, OR = 1.007, 95%CI was 1.002-1.014, P = 0.013) were the independent predictors of END in AIS patients after intravenous thrombolysis. The area under the curve (AUC) of LR, KNN, SVM, and RF machine learning models in the test dataset were 0.789 (95%CI was 0.675-0.902), 0.797 (95%CI was 0.685-0.910), 0.851 (95%CI was 0.751-0.952) and 0.809 (95%CI was 0.699-0.919), respectively. The RF model had the highest sensitivity (95.7%). The accuracy (0.736), specificity (72.0%) and AUC of SVM model were the highest, and its overall prediction ability was better than the other three models. CONCLUSIONS Machine learning models have a potential role in early predicting the risk of END after intravenous thrombolysis in AIS patients, and can provide help in clinical decision-making for intravenous thrombolysis.
Humans ; Tissue Plasminogen Activator/therapeutic use* ; Ischemic Stroke/drug therapy* ; Brain Ischemia ; Retrospective Studies ; Thrombolytic Therapy ; Stroke ; Fibrinolytic Agents/therapeutic use*

OBJECTIVE: To observe the effects of the <i>Xingnao Kaiqiaoi> (regaining consciousness and opening orifices) acupuncture on hemorrhagic transformation and limb motor function after intravenous thrombolysis with recombinant tissue plasminogen activator (rt-PA) in stroke patients. METHODS: A total of 130 stroke patients after rt-PA thrombolytic were divided into an acupuncture group (58 cases, 1 case dropped off) and a non-acupuncture group (72 cases, 7 cases dropped off) according to whether they received acupuncture treatment. Propensity score matching (PSM) was used to match each group, with 38 patients in each group. The patients in the non-acupuncture group received rt-PA thrombolytic therapy and western medical basic treatment. In addition to the basic treatment, the patients in the acupuncture group received <i>Xingnao Kaiqiaoi> acupuncture at Shuigou (GV 26), bilateral Neiguan (PC 6), and ipsilateral Sanyinjiao (SP 6), Chize (LU 5), once a day for 14 days. The incidence of hemorrhagic transformation within 30 days after onset was compared between the two groups. The Fugl-Meyer assessment (FMA) score and activities of daily living (ADL) score were observed at baseline and 30 days, 6 months, 1 year after onset in the two groups. The disability rate at 6 months and 1 year after onset was recorded, and safety was evaluated in both groups. RESULTS: The incidence of hemorrhagic transformation in the acupuncture group was 5.3% (2/38), which was lower than 21.1% (8/38) in the non-acupuncture group (<i>Pi><0.05). At 30 days, 6 month, and 1 year after onset, the FMA and ADL scores of both groups were higher than those at baseline (<i>Pi><0.01), and the scores in the acupuncture group were higher than those in the non-acupuncture group (<i>Pi><0.01). The disability rate in the acupuncture group at 1 year after onset was 10.5% (4/38), which was lower than 28.9% (11/38) in the non-acupuncture group (<i>Pi><0.05). There was no significant difference in the incidence of adverse events between the two groups (<i>Pi>>0.05). CONCLUSION The <i>Xingnao Kaiqiaoi> acupuncture method could reduce the incidence of hemorrhagic transformation in stroke patients after intravenous thrombolysis with rt-PA, improve their motor function and daily living ability, and reduce the long-term disability rate.
Humans ; Tissue Plasminogen Activator/adverse effects* ; Activities of Daily Living ; Prospective Studies ; Stroke ; Acupuncture Therapy ; Thrombolytic Therapy/adverse effects*

Objective This study aims to construct and identify the chimeric antigen receptor NK92 (CAR-NK92) cells targeting NKG2D ligand (NKG2DL) (secreting IL-15Ra-IL-15) and verify the killing activity of NKG2D CAR-NK92 cells against multiple myeloma cells. Methods The extracellular segment of NKG2D was employed to connect 4-1BB and CD3Z, as well as IL-15Ra-IL-15 sequence to obtain a CAR expression framework. The lentivirus was packaged and transduced into NK92 cells to obtain NKG2D CAR-NK92 cells. The proliferation of NKG2D CAR-NK92 cells was detected by CCK-8 assay, IL-15Ra secretion was detected by ELISA and killing efficiency was detected by lactate dehydrogenase (LDH) assay. The molecular markers of NKp30, NKp44, NKp46, the ratio of apoptotic cell population, CD107a, and the secretion level of granzyme B and perforin were detected using flow cytometry. In addition, the cytotoxic mechanism of NKG2D CAR-NK92 cells on the tumor was verified by measuring the degranulation ability. Moreover, after NKG2D antibody inhibited effector cells and histamine inhibited tumor cells, LDH assay was utilized to detect the effect on cell-killing efficiency. Finally, the multiple myeloma tumor xenograft model was constructed to verify its anti-tumor activity in vivo. Results Lentiviral transduction significantly increased NKG2D expression in NK92 cells. Compared with NK92 cells, the proliferation ability of NKG2D CAR-NK92 cells was weaker. The early apoptotic cell population of NKG2D CAR-NK92 cells was less, and NKG2D CAR-NK92 cells had stronger cytotoxicity to multiple myeloma cells. Additionally, IL-15Ra secretion could be detected in its culture supernatant. NKp44 protein expression in NKG2D CAR-NK92 cells was clearly increased, demonstrating an enhanced activation level. Inhibition test revealed that the cytotoxicity of CAR-NK92 cells to MHC-I chain-related protein A (MICA) and MICB-positive tumor cells was more dependent on the interaction between NKG2D CAR and NKG2DL. After stimulating NKG2D CAR-NK92 cells with tumor cells, granzyme B and perforin expression increased, and NK cells obviously upregulated CD107α. Furthermore, multiple myeloma tumor xenograft model revealed that the tumors of mice treated with NKG2D CAR-NK92 cells were significantly reduced, and the cell therapy did not sensibly affect the weight of the mice. Conclusion A type of CAR-NK92 cell targeting NKG2DL (secreting IL-15Ra-IL-15) is successfully constructed, indicating the effective killing of multiple myeloid cells.
Humans ; Mice ; Animals ; Receptors, Chimeric Antigen/genetics* ; Interleukin-15 ; NK Cell Lectin-Like Receptor Subfamily K/metabolism* ; Granzymes ; Cell Line, Tumor ; Multiple Myeloma/therapy* ; Perforin

Objective: To evaluate the clinical value of new coagulation biomarkers including soluble thrombomodulin (sTM) and tissue plasminogen activator inhibitor complex (t-PAI·C) for the diagnosis and prognosis of sepsis in children. Methods: The prospective observational study enrolled 59 children who were diagnosed with sepsis including severe sepsis and septic shock in the Department of Pediatric Critical Care Medicine of Shanghai Children's Medical Center affiliated to the Medical College of Shanghai Jiao Tong University from June 2019 to June 2021. The sTM, t-PAI·C and conventional coagulation tests were detected on illness day one of sepsis. Twenty healthy children were selected as the control group, and the above parameters were detected on the day of inclusion. Children with sepsis were divided into survival group and non-survival group according to prognosis at discharge. Baseline comparisons between groups were performed using Mann-Whitney <i>Ui> test. Multivariate Logistic regression analysis was used to evaluate the risk factors for the diagnosis and prognosis of sepsis in children. Receiver operating characteristic (ROC) curve was conducted to evaluate the predictive values of above variables for the diagnosis and prognosis of sepsis in children. Results: The sepsis group included 59 patients (39 boys and 20 girls), aged 61(22, 136)months. There were 44 patients in the survival group and 15 patients in the non-survival group, respectively. The control group consisted of 20 boys, aged 107 (94,122) months. Patients in the sepsis group had higher sTM and t-PAI·C ((12 (9, 17)×10³ <i>vs.i> 9(8, 10)×10³ TU/L, 10(6, 22) <i>vs.i> 2 (1, 3) μg/L, <i>Zi>=-2.15, -6.05, both <i>Pi><0.05) compared with children in the control group. The t-PAI·C was superior to sTM for the diagnosis of sepsis. The areas under the curve (AUC) of t-PAI·C and sTM for the diagnosis of sepsis were 0.95 and 0.66, respectively, and the optimal cut-off value were 3 μg/L and 12×10³ TU/L, respectively. Patients in the survival group had lower sTM (10 (8, 14)×10³ <i>vs.i> 17 (11, 36)×10³ TU/L, <i>Zi>=-2.73, <i>P=i>0.006) than those in the non-survival group. Logistic regression analysis showed that sTM was a risk factor for death at discharge (<i>ORi>=1.14, 95%<i>CIi> 1.04-1.27, <i>Pi>=0.006). The AUC of sTM and t-PAI·C for predicting death at discharge were 0.74 and 0.62, respectively, and the optimal cut-off values were 13×10³ TU/L and 6 μg/L, respectively. The AUC of sTM combined with platelet counts for predicting death at discharge was 0.89, which was superior to sTM and t-PAI·C. Conclusion: The sTM and t-PAI·C had clinical application values in diagnosing and predicting prognosis in pediatric sepsis.
Child ; Female ; Humans ; Male ; Biomarkers ; China ; Sepsis/diagnosis* ; Shock, Septic ; Tissue Plasminogen Activator ; Infant ; Child, Preschool

Thromboembolism is a crucial part of the global disease burden. It has high incidence, high mortality and disability rates, and the mechanism of occurrence and development is extremely complex. It is difficult to detect the disease in the early stage so that we have trouble with clinical prevention and treatment in general. At present, four items of blood coagulation and D-dimer have been widely used in the evaluation and auxiliary diagnosis of thromboembolism, the monitoring of effect for antithrombotic drugs and other fields. The thrombus biomarkers including thrombin-antithrombin complex (TAT), thrombomodulin (TM), tissue plasminogen activator-inhibitor complex (t-PAIC) and α2-plasmin inhibitor-plasmin complex (PIC) fill the gap of laboratory diagnosis before clinical symptoms appear in some degree. This article aims to explain the current application status of TAT, TM, t-PAIC and PIC in thromboembolism and explore their potential application value, so as to provide a reference for selecting appropriate early monitoring indicators for high-risk population of thromboembolism.
Humans ; Tissue Plasminogen Activator ; Plasminogen Inactivators ; Thrombomodulin ; Thromboembolism ; Biomarkers

Thromboembolism is a crucial part of the global disease burden. It has high incidence, high mortality and disability rates, and the mechanism of occurrence and development is extremely complex. It is difficult to detect the disease in the early stage so that we have trouble with clinical prevention and treatment in general. At present, four items of blood coagulation and D-dimer have been widely used in the evaluation and auxiliary diagnosis of thromboembolism, the monitoring of effect for antithrombotic drugs and other fields. The thrombus biomarkers including thrombin-antithrombin complex (TAT), thrombomodulin (TM), tissue plasminogen activator-inhibitor complex (t-PAIC) and α2-plasmin inhibitor-plasmin complex (PIC) fill the gap of laboratory diagnosis before clinical symptoms appear in some degree. This article aims to explain the current application status of TAT, TM, t-PAIC and PIC in thromboembolism and explore their potential application value, so as to provide a reference for selecting appropriate early monitoring indicators for high-risk population of thromboembolism.
Humans ; Tissue Plasminogen Activator ; Plasminogen Inactivators ; Thrombomodulin ; Thromboembolism ; Biomarkers

OBJECTIVE: To explore the predictive value of four items of new thrombus markers combined with conventional coagulation tests for thrombosis in antiphospholipid syndrome. METHODS: A total of 121 antiphospholipid syndrome (APS) patients who hospitalized at Peking University People's Hospital from March 2022 to January 2023 were selected and divided into thrombus group (50 cases) and nonthrombus group (71 cases) according to whether thrombosis occurred. The differences of laboratory characteristics including antiphospholipid antibodies were compared between the thrombotic and non-thrombotic groups. Chemiluminescent immunoassay was used to detect thrombomodulin (TM), thrombin-antithrombin complex (TAT), Plasmin-α2 plasmin inhibitor complex (PIC), and tissue plasminogen activator inhibitor complex (t-PAIC) in plasma from venous. The independent risk factors of thrombosis in patients with APS were determined using binary Logistic regression. Receiver operating characteristic (ROC) curve analysis was applied to evaluate the efficacy of each index on the prediction of thrombosis. RESULTS: Compared with the patients without thrombosis, the patients with thrombosis were older [49 (32, 64) years <i>vs.i> 36 (32, 39) years, <i>Pi> < 0.05]. The percentages of male, smoking, hypertension, and global antiphospholipid syndrome score (GAPSS)≥10 in the patients with thrombosis were significantly higher than those in the patients without thrombosis (<i>Pi> < 0.05). The positive rates of anticardiolipin antibody (aCL) and lupus anticoagulant (LA) in the thrombotic group were significantly higher than those in the non-thrombotic group (<i>Pi> < 0.05), and the levels of prothrombin time, activated partial thromboplastin time, fibrinogen, fibrin degradation product in the thrombotic group were significantly higher than those in the non-thrombotic group (<i>Pi> < 0.05).Among the thrombosis group, venous thrombosis accounted for 19 (38.00%), including deep vein thrombosis (16, 84.21%) and pulmonary embolism accounted (5, 26.32%); Arterial thrombosis accounted for 35 (70.00%), including myocardial infarction (6, 17.14%) cerebral infarction (30, 85.71%). The patients in the thrombotic group had significantly greater TM levels than those in the non-thrombotic group (<i>Pi> < 0.05).There were no significant dif-ferences between the two groups in TAT (<i>Zi>=-1.420, <i>Pi>=0.156), PIC (<i>Zi>=-0.064, <i>Pi>=0.949), and t-PAIC (<i>Zi>=-1.487, <i>Pi>=0.137). Univariate and binary Logistic regression analysis of relevant variables showed that advanced age [<i>ORi>=1.126, <i>Pi>=0.002], elevated TM [<i>ORi>=1.325, <i>Pi>=0.048], prolonged prothrombin time (PT) [<i>ORi>=4.127, <i>Pi>=0.008] were independent risk factors for thrombosis in the patients with APS. ROC curve analysis of the above three independent risk factors showed that the combined detection of age, PT and TM had the highest Yoden index (0.727) and sensitivity (83.0%), with a specificity of 89.7%. CONCLUSION TAT, PIC, TM, and t-PAIC may reflect thrombus formation from the coagulation system, fibrinolysis system, and endothelial system. The combined of age TM and PT is superior to the application of a single marker, which has diagnostic value for the early identification of APS thrombosis.
Humans ; Male ; Antiphospholipid Syndrome/diagnosis* ; Tissue Plasminogen Activator ; Thrombosis/etiology* ; Antibodies, Antiphospholipid/analysis* ; Blood Coagulation Tests/adverse effects*