BACKGROUND: Plasminogen activator inhibitor-1 (PAI-1) plays an important role in the pathophysiology of sepsis, but the exact mechanism remains debatable. In this study, we investigated the associations among the serum levels of PAI-1, the incidence of 4G/5G promoter PAI-1 gene polymorphisms, immunological indicators, and clinical outcomes in septic patients. METHODS: A total of 181 patients aged 18-80 years with sepsis between November 2016 and August 2018 in the intensive care unit in the Xinhua Hospital were recruited in this retrospective study, with 28-day mortality as the primary outcome. The initial serum level of PAI-1 and the presence of rs1799768 single nucleotide polymorphisms (SNPs) were examined. Univariate logistic regression and multivariate analyses were performed to determine the factors associated with different genotypes of PAI-1, serum level of PAI-1, and 28-day mortality. RESULTS: The logistic analysis suggested that a high serum level of PAI-1 was associated with the rs1799768 SNP of PAI-1 (4G/4G and 4G/5G) (Odds ratio [OR]: 2.49; 95% confidence interval [CI]: 1.09, 5.68). Furthermore, a high serum level of PAI-1 strongly influenced 28-day mortality (OR 3.36; 95% CI 1.51, 7.49). The expression and activation of neutrophils (OR 0.96; 95% CI 0.93, 0.99), as well as the changes in the expression patterns of cytokines and chemokine-associated neutrophils (OR: 1.00; 95% CI: 1.00, 1.00), were both regulated by the genotype of PAI-1. CONCLUSIONS Genetic polymorphisms of PAI-1 can influence the serum levels of PAI-1, which might contribute to mortality by affecting neutrophil activity. Thus, patients with severe sepsis might clinically benefit from enhanced neutrophil clearance and the resolution of inflammation via the regulation of PAI-1 expression and activity.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Humans ; Middle Aged ; Young Adult ; Genotype ; Neutrophils ; Plasminogen Activator Inhibitor 1/genetics* ; Polymorphism, Single Nucleotide/genetics* ; Retrospective Studies ; Sepsis/genetics*

This study was designed to evaluate the protective effect of CPD1, a novel phosphodiesterase 5 inhibitor, on renal interstitial fibrosis after unilateral renal ischemia-reperfusion injury (UIRI). Male BALB/c mice were subjected to UIRI, and treated with CPD1 once daily (i.g, 5 mg/kg). Contralateral nephrectomy was performed on day 10 after UIRI, and the UIRI kidneys were harvested on day 11. Hematoxylin-eosin (HE), Masson trichrome and Sirius Red staining methods were used to observe the renal tissue structural lesions and fibrosis. Immunohistochemical staining and Western blot were used to detect the expression of proteins related to fibrosis. HE, Sirius Red and Masson trichrome staining showed that CPD1-treated UIRI mice had lower extent of tubular epithelial cell injury and deposition of extracellular matrix (ECM) in renal interstitium compared with those in the fibrotic mouse kidneys. The results from immunohistochemistry and Western blot assay indicated significantly decreased protein expressions of type I collagen, fibronectin, plasminogen activator inhibitor-1 (PAI-1) and α-smooth muscle actin (α-SMA) after CPD1 treatment. In addition, CPD1 dose-dependently inhibited the expression of ECM-related proteins induced by transforming growth factor β1 (TGF-β1) in normal rat kidney interstitial fibroblasts (NRK-49F) and human renal tubular epithelial cell line (HK-2). In summary, the novel PDE inhibitor, CPD1, displays strong protective effects against UIRI and fibrosis by suppressing TGF-β signaling pathway and regulating the balance between ECM synthesis and degradation through PAI-1.
Animals ; Humans ; Male ; Mice ; Rats ; Extracellular Matrix Proteins ; Fibrosis ; Kidney ; Kidney Diseases ; Phosphodiesterase 5 Inhibitors ; Plasminogen Activator Inhibitor 1

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 U 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 vs. 9(8, 10)×10³ TU/L, 10(6, 22) vs. 2 (1, 3) μg/L, Z=-2.15, -6.05, both P<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 vs. 17 (11, 36)×10³ TU/L, Z=-2.73, P=0.006) than those in the non-survival group. Logistic regression analysis showed that sTM was a risk factor for death at discharge (OR=1.14, 95%CI 1.04-1.27, P=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

The approach combining disease, syndrome, and symptom was employed to investigate the characteristic changes of blood stasis syndrome in a rat model of steroid-induced osteonecrosis of the femoral head(SONFH) during disease onset and progression. Seventy-two male SD rats were randomized into a healthy control group and a model group. The rat model of SONFH was established by injection of lipopolysaccharide(LPS) in the tail vein at a dose of 20 μg·kg~(-1)·d~(-1) on days 1 and 2 and gluteal intramuscular injection of methylprednisolone sodium succinate(MPS) at a dose of 40 mg·kg~(-1)·d~(-1) on days 3-5, while the healthy control group received an equal volume of saline. The mechanical pain test, tongue color RGB technique, gait detection, open field test, and inclined plane test were employed to assess hip pain, tongue color, limping, joint activity, and lower limb strength, respectively, at different time points within 21 weeks of modeling. At weeks 2, 4, 8, 12, 16, and 21 after modeling, histopathological changes of the femoral head were observed by hematoxylin-eosin(HE) staining and micro-CT scanning; four coagulation items were measured by rotational thromboelastometry; and enzyme-linked immunosorbent assay(ELISA) was employed to determine the levels of six blood lipids, vascular endothelial growth factor(VEGF), endothelin-1(ET-1), nitric oxide(NO), tissue-type plasminogen activator(t-PA), plasminogen activator inhibitor factor-1(PAI-1), bone gla protein(BGP), alkaline phosphatase(ALP), receptor activator of nuclear factor-κB(RANKL), osteoprotegerin(OPG), and tartrate-resistant acid phosphatase 5b(TRAP5b) in the serum, as well as the levels of 6-keto-prostaglandin 1α(6-keto-PGF1α) and thromboxane B2(TXB2) in the plasma. The results demonstrated that the pathological alterations in the SONFH rats were severer over time. The bone trabecular area ratio, adipocyte number, empty lacuna rate, bone mineral density(BMD), bone volume/tissue volume(BV/TV), trabecular thickness(Tb.Th), trabecular number(Tb.N), bone surface area/bone volume(BS/BV), and trabecular separation(Tb.Sp) all significantly increased or decreased over the modeling time after week 4. Compared with the healthy control group, the mechanical pain threshold, gait swing speed, stride, standing time, and walking cycle of SONFH rats changed significantly within 21 weeks after modeling, with the greatest difference observed 12 weeks after modeling. The time spent in the central zone, rearing score, and maximum tilt angle in the open field test of SONFH rats also changed significantly over the modeling time. Compared with the healthy control group, the R, G, and B values of the tongue color of the model rats decreased significantly, with the greatest difference observed 11 weeks after modeling. The levels of total cholesterol(TC), total triglycerides(TG), low-density lipoprotein-cholesterol(LDL-C), and apoprotein B(ApoB) in the SONFH rats changed significantly 4 and 8 weeks after modeling. The levels of VEGF, ET-1, NO, t-PA, PAI-1, 6-keto-PGF1α, TXB2, four coagulation items, and TXB2/6-keto-PGF1α ratio in the serum of SONFH rats changed significantly 4-16 weeks after modeling, with the greatest differences observed 12 weeks after modeling. The levels of BGP, TRAP5b, RANKL, OPG, and RANKL/OPG ratio in the serum of SONFH rats changed significantly 8-21 weeks after modeling. During the entire onset and progression of SONFH in rats, the blood stasis syndrome characteristics such as hyperalgesia, tongue color darkening, gait abnormalities, platelet, vascular, and coagulation dysfunctions were observed, which gradually worsened and then gradually alleviated in the disease course(2-21 weeks), with the most notable differences occurred around 12 weeks after modeling.
Rats ; Male ; Animals ; Femur Head/pathology* ; Plasminogen Activator Inhibitor 1/adverse effects* ; Vascular Endothelial Growth Factor A ; Femur Head Necrosis/pathology* ; Rats, Sprague-Dawley ; Steroids ; Pain ; Cholesterol

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 Xingnao Kaiqiao (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 Xingnao Kaiqiao 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 (P<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 (P<0.01), and the scores in the acupuncture group were higher than those in the non-acupuncture group (P<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 (P<0.05). There was no significant difference in the incidence of adverse events between the two groups (P>0.05). CONCLUSION The Xingnao Kaiqiao 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*

Hypoxia, as an important hallmark of the tumor microenvironment, is a major cause of oxidative stress and plays a central role in various malignant tumors, including glioblastoma. Elevated reactive oxygen species (ROS) in a hypoxic microenvironment promote glioblastoma progression; however, the underlying mechanism has not been clarified. Herein, we found that hypoxia promoted ROS production, and the proliferation, migration, and invasion of glioblastoma cells, while this promotion was restrained by ROS scavengers N-acetyl-L-cysteine (NAC) and diphenyleneiodonium chloride (DPI). Hypoxia-induced ROS activated hypoxia-inducible factor-1α (HIF-1α) signaling, which enhanced cell migration and invasion by epithelial-mesenchymal transition (EMT). Furthermore, the induction of serine protease inhibitor family E member 1 (SERPINE1) was ROS-dependent under hypoxia, and HIF-1α mediated SERPINE1 increase induced by ROS via binding to the SERPINE1 promoter region, thereby facilitating glioblastoma migration and invasion. Taken together, our data revealed that hypoxia-induced ROS reinforce the hypoxic adaptation of glioblastoma by driving the HIF-1α-SERPINE1 signaling pathway, and that targeting ROS may be a promising therapeutic strategy for glioblastoma.
Humans ; Cell Hypoxia ; Cell Line, Tumor ; Glioblastoma/pathology* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Plasminogen Activator Inhibitor 1/metabolism* ; Reactive Oxygen Species/metabolism* ; Signal Transduction ; Tumor Microenvironment ; Brain Neoplasms/pathology*

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