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1.
Int J Nanomedicine ; 18: 4043-4054, 2023.
Article in English | MEDLINE | ID: mdl-37520300

ABSTRACT

Background: Carotid artery thrombosis is the leading cause of stroke. Since there are no apparent symptoms in the early stages of carotid atherosclerosis onset, it causes a more significant clinical diagnosis. Photoacoustic (PA) imaging provides high contrast and good depth information, which has been used for the early detection and diagnosis of many diseases. Methods: We investigated thrombus formation by using 20% ferric chloride (FeCl3) in the carotid arteries of KM mice for the thrombosis model. The near-infrared selenium/polypyrrole (Se@PPy) nanomaterials are easy to synthesize and have excellent optical absorption in vivo, which can be used as PA contrast agents to obtain thrombosis information. Results: In vitro experiments showed that Se@PPy nanocomposites have fulfilling PA ability in the 700 nm to 900 nm wavelength range. In the carotid atherosclerosis model, maximum PA signal enhancement up to 3.44, 4.04, and 5.07 times was observed by injection of Se@PPy nanomaterials, which helped to diagnose the severity of carotid atherosclerosis. Conclusion: The superior PA signal of Se@PPy nanomaterials can identify the extent of atherosclerotic carotid lesions, demonstrating the feasibility of PA imaging technology in diagnosing carotid thrombosis lesion formation. This study demonstrates nanocomposites and PA techniques for imaging and diagnosing carotid thrombosis in vivo.


Subject(s)
Atherosclerosis , Carotid Artery Diseases , Carotid Artery Thrombosis , Nanospheres , Photoacoustic Techniques , Selenium , Thrombosis , Animals , Mice , Polymers , Carotid Artery Thrombosis/chemically induced , Carotid Artery Thrombosis/diagnostic imaging , Photoacoustic Techniques/methods , Pyrroles , Carotid Arteries/diagnostic imaging , Thrombosis/diagnostic imaging
2.
CNS Neurosci Ther ; 29(11): 3612-3623, 2023 11.
Article in English | MEDLINE | ID: mdl-37269080

ABSTRACT

AIM: Blood-brain barrier (BBB) dysfunction is one of the hallmarks of ischemic stroke. USP14 has been reported to play a detrimental role in ischemic brain injury. However, the role of USP14 in BBB dysfunction after ischemic stroke is unclear. METHODS: In this study, we tested the role of USP14 in disrupting BBB integrity after ischemic stroke. The USP14-specific inhibitor IU1 was injected into middle cerebral artery occlusion (MCAO) mice once a day. The Evans blue (EB) assay and IgG staining were used to assess BBB leakage 3 days after MCAO. FITC-detran test was slected to examine the BBB leakage in vitro. Behavior tests were conducted to evaluate recovery from ischemic stroke. RESULTS: Middle cerebral artery occlusion increased endothelial cell USP14 expression in the brain. Furthermore, the EB assay and IgG staining showed that USP14 inhibition through IU1 injection protected against BBB leakage after MCAO. Analysis of protein expression revealed a reduction in the inflammatory response and chemokine release after IU1 treatment. In addition, IU1 treatment was found to rescue neuronal loss resulting from ischemic stroke. Behavior tests showed a positive effect of IU1 in attenuating brain injury and improving motor function recovery. In vitro study showed that IU1 treatment could alleviate endothelial cell leakage induced by OGD in cultured bend.3 cells through modulating ZO-1 expression. CONCLUSIONS: Our results demonstrate a role for USP14 in disrupting the integrity of the BBB and promoting neuroinflammation after MCAO.


Subject(s)
Blood-Brain Barrier , Brain Injuries , Brain Ischemia , Ischemic Stroke , Animals , Mice , Blood-Brain Barrier/metabolism , Brain Injuries/metabolism , Brain Ischemia/metabolism , Endothelial Cells/metabolism , Evans Blue/metabolism , Evans Blue/pharmacology , Immunoglobulin G , Infarction, Middle Cerebral Artery/complications , Infarction, Middle Cerebral Artery/drug therapy , Infarction, Middle Cerebral Artery/metabolism , Ischemic Stroke/metabolism , Neuroinflammatory Diseases , Stroke/metabolism
3.
J Pathol ; 259(4): 388-401, 2023 04.
Article in English | MEDLINE | ID: mdl-36640260

ABSTRACT

Switching of vascular smooth muscle cells (VSMCs) from a contractile phenotype to a dedifferentiated (proliferative) phenotype contributes to neointima formation, which has been demonstrated to possess a tumor-like nature. Dysregulated glucose and lipid metabolism is recognized as a hallmark of tumors but has not thoroughly been elucidated in neointima formation. Here, we investigated the cooperative role of glycolysis and fatty acid synthesis in vascular injury-induced VSMC dedifferentiation and neointima formation. We found that the expression of hypoxia-inducible factor-1α (HIF-1α) and its target 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3), a critical glycolytic enzyme, were induced in the neointimal VSMCs of human stenotic carotid arteries and wire-injured mouse carotid arteries. HIF-1α overexpression led to elevated glycolysis and resulted in a decreased contractile phenotype while promoting VSMC proliferation and activation of the mechanistic target of rapamycin complex 1 (mTORC1). Conversely, silencing Pfkfb3 had the opposite effects. Mechanistic studies demonstrated that glycolysis generates acetyl coenzyme A to fuel de novo fatty acid synthesis and mTORC1 activation. Whole-transcriptome sequencing analysis confirmed the increased expression of PFKFB3 and fatty acid synthetase (FASN) in dedifferentiated VSMCs. More importantly, FASN upregulation was observed in neointimal VSMCs of human stenotic carotid arteries. Finally, interfering with PFKFB3 or FASN suppressed vascular injury-induced mTORC1 activation, VSMC dedifferentiation, and neointima formation. Together, this study demonstrated that PFKFB3-mediated glycolytic reprogramming and FASN-mediated lipid metabolic reprogramming are distinctive features of VSMC phenotypic switching and could be potential therapeutic targets for treating vascular diseases with neointima formation. © 2023 The Pathological Society of Great Britain and Ireland.


Subject(s)
Muscle, Smooth, Vascular , Vascular System Injuries , Mice , Humans , Animals , Hyperplasia/pathology , Muscle, Smooth, Vascular/pathology , Cell Proliferation , Neointima/pathology , Cell Movement , Cells, Cultured , Disease Models, Animal , Phenotype , Fatty Acids/metabolism , Mechanistic Target of Rapamycin Complex 1/genetics , Mechanistic Target of Rapamycin Complex 1/metabolism , Mechanistic Target of Rapamycin Complex 1/pharmacology , Myocytes, Smooth Muscle/pathology
4.
CNS Neurosci Ther ; 27(1): 92-100, 2021 01.
Article in English | MEDLINE | ID: mdl-33249760

ABSTRACT

AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracerebral hemorrhage admitted to ER. Conventional laboratory indicators require hours for coagulopathy diagnosis, which brings difficulties for appropriate intervention within the optimal window. This study evaluates the possibility of building efficient coagulopathy prediction models using data mining and machine learning algorithms. METHODS: A retrospective cohort enrolled 1668 cases with acute spontaneous intracerebral hemorrhage from three medical centers, excluding those under antithrombotic therapies. Coagulopathy-related clinical parameters were initially screened by univariate analysis. Two machine learning algorithms, the random forest and the support vector machine, were deployed via an approach of four-fold cross-validation to screen out the most important parameters contributing to the occurrence of coagulopathy. Model discrimination was assessed using metrics, including accuracy, precision, recall, and F1 score. RESULTS: Albumin/globulin ratio, neutrophil count, lymphocyte percentage, aspartate transaminase, alanine transaminase, hemoglobin, platelet count, white blood cell count, neutrophil percentage, systolic and diastolic pressure were identified as major predictors to the occurrence of acute coagulopathy. Compared to support vector machine, the model based on the random forest algorithm showed better accuracy (93.1%, 95% confidence interval [CI]: 0.913-0.950), precision (92.4%, 95% CI: 0.897-0.951), F1 score (91.5%, 95% CI: 0.889-0.964), and recall score (93.6%, 95% CI: 0.909-0.964), and yielded higher area under the receiver operating characteristic curve (AU-ROC) (0.962, 95% CI: 0.942-0.982). CONCLUSION: The constructed models exhibit good prediction accuracy and efficiency. It might be used in clinical practice to facilitate target intervention for acute coagulopathy in patients with spontaneous intracerebral hemorrhage.


Subject(s)
Algorithms , Blood Coagulation Disorders/diagnosis , Cerebral Hemorrhage/diagnosis , Emergency Service, Hospital/trends , Machine Learning/trends , Adult , Aged , Blood Coagulation Disorders/epidemiology , Cerebral Hemorrhage/epidemiology , Cohort Studies , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies
6.
Hum Pathol ; 63: 46-52, 2017 05.
Article in English | MEDLINE | ID: mdl-28232157

ABSTRACT

Glioma is the most common type of malignant neoplasm in the central nervous system, with high incidence and mortality rate. MicroRNAs, as a class of small noncoding RNAs, play an important role in carcinogenesis and correlate with glioma diagnosis and prognosis. In this study, we investigated the microRNA-204 (miR-204) concentration in glioma tissues and its relation to the expression of ezrin and bcl-2 mRNA, as well as its potential predictive and prognostic values in glioma. The concentrations of miR-204 were significantly lower in glioma tissues than in nontumor brain tissues and also were lower in high-grade than in low-grade gliomas (World Health Organization grades III and IV versus grades I and II). The miR-204 concentration was inversely correlated with the ezrin and bcl-2 concentrations. The miR-204 concentration was classified as high or low according to the median value, and low miR-204 correlated with higher World Health Organization grade, larger tumor, and worse Karnofsky performance score. Kaplan-Meier survival analysis demonstrated that patients with low miR-204 expression had shorter progression-free survival and overall survival than patients with high miR-204 expression. In addition, univariate and multivariate analyses showed that miR-204 expression was an independent prognostic feature of overall survival and progression-free survival. In conclusion, our study indicates that miR-204 is downregulated in glioma and may be a biomarker of poor prognosis in patients with this cancer.

7.
Nan Fang Yi Ke Da Xue Xue Bao ; 32(2): 198-201, 2012 Feb.
Article in Chinese | MEDLINE | ID: mdl-22381757

ABSTRACT

OBJECTIVE: To investigate miR-20a expression in human glioma and normal brain tissues and its effect on the proliferation of glioma cells in vitro. METHODS: The expression of miR-20a was detected in human normal brain tissues and glioma tissues by real-time RT-PCR. miR-20a mimics were synthesized and transfected into U251 cells via liposome, and the cell proliferation were detected using MTT assay and flow cytometry. RESULTS: The glioma tissues showed significantly up-regulated expression of miR-20a compared with normal brain tissues (P=0.035). The expression level of miR-20a was higher in high-grade than in low-grade gliomas. miR-20a mimics significantly enhanced the proliferation of U251 cells and the percentage of S-phase cells. CONCLUSION: miR-20a shows potent effect in promoting the growth of glioma cells, suggesting its important role in the pathogenesis of human glioma.


Subject(s)
Brain Neoplasms/metabolism , Cell Proliferation , Glioma/metabolism , MicroRNAs/metabolism , Adult , Brain Neoplasms/genetics , Brain Neoplasms/pathology , Cell Line, Tumor , Female , Glioma/genetics , Glioma/pathology , Humans , Male , MicroRNAs/genetics , Middle Aged , Real-Time Polymerase Chain Reaction , Young Adult
8.
Ultrastruct Pathol ; 34(5): 301-6, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20568982

ABSTRACT

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gut. It is characterized by positive immunostaining for CD117, and bears mutations in the c-kit or PDGFRA genes. Its origin remains uncertain. GISTs mainly possess primitive smooth muscle or neuronal differentiation. Although an epithelioid pattern of GIST is a common finding on light microscopy, true epithelial differentiation has never been demonstrated by either immunohistochemistry or ultrastructural study. Here the authors report an epithelioid GIST of the stomach, immunopositive for CD117, DOG1.1, CD34, and PDGFRA, with slight cytoplasmic staining for epithelial membrane antigen. One heterozygous mutation on codon 842 of exon 18 of the PDGFRA gene was also found. Ultrastructurally, tumor cells had plentiful organelles, including some membrane-bound, dense-core granules and cytoplasmic vacuoles. Intermingled thin cellular processes were also found. Unusually, there were many structures resembling glandular epithelial intracellular lumina with processes. The processes, although resembling microvilli, did not have filament cores, while the lumina were either empty or contained some dense or flocculent content of uncertain nature. True intracellular lumina are very rare in GIST and the authors present findings related to this issue, with a discussion on their nature, origin, and significance.


Subject(s)
Gastrointestinal Stromal Tumors/pathology , Inclusion Bodies/ultrastructure , Aged , Biomarkers, Tumor/analysis , Female , Gastrointestinal Stromal Tumors/genetics , Gastrointestinal Stromal Tumors/metabolism , Humans , Immunohistochemistry , Microscopy, Electron, Transmission , Receptor, Platelet-Derived Growth Factor alpha/genetics
9.
World J Gastroenterol ; 10(9): 1310-4, 2004 May 01.
Article in English | MEDLINE | ID: mdl-15112348

ABSTRACT

AIM: To investigate the significance of c-kit gene mutation in gastrointestinal stromal tumors (GIST). METHODS: Fifty two cases of GIST and 28 cases of other tumors were examined. DNA samples were extracted from paraffin sections and fresh blocks. Exons 11, 9 and 13 of the c-kit gene were amplified by PCR and sequenced. RESULTS: Mutations of exon 11 were found in 14 of 25 malignant GISTs (56%), mutations of exon 11 of the c-kit gene were revealed in 2 of 19 borderline GISTs (10.5%), and no mutation was found in benign tumors. The mutation rate showed significant difference (chi2=14.39, P<0.01) between malignant and benign GISTs. Most of mutations consisted of the in-frame deletion or replication from 3 to 48 bp in heterozygous and homozygous fashions, None of the mutations disrupted the downstream reading frame of the gene. Point mutations and frame deletions were most frequently observed at codons 550-560, but duplications were most concentrated at codons 570-585. No mutations of exons 9 and 13 were revealed in GISTs, Neither c-kit gene expression nor gene mutations were found in 3 leiomyomas, 8 leiomyosarcomas, 2 schwannomas, 2 malignant peripheral nerve sheath tumors, 2 intra-abdominal fibromatoses, 2 malignant fibrous histiocytomas and 9 adenocarcinomas. CONCLUSION: C-kit gene mutations occur preferentially in malignant GISTs and might be a clinically useful adjunct marker in the evaluation of GISTs and can help to differentiate GISTs from other mesenchymal tumors of gastrointestinal tract, such as smooth muscle tumors, schwannomas, etc.


Subject(s)
Gastrointestinal Neoplasms/genetics , Mutation , Proto-Oncogene Proteins c-kit/genetics , Stromal Cells/physiology , Amino Acid Sequence , DNA Mutational Analysis , Exons , Humans , Molecular Sequence Data , Proto-Oncogene Proteins c-kit/metabolism
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