Notch signaling in cerebrovascular diseases (Review)

Cai, Zhiyou; Zhao, Bin; Deng, Yanqing; Shangguan, Shouqin; Zhou, Faming; Zhou, Wenqing; Li, Xiaoli; Li, Yanfeng; Chen, Guanghui

doi:10.3892/mmr.2016.5641

Cited by 43 publications

(30 citation statements)

References 278 publications

(240 reference statements)

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“…It has recently been suggested that the PON1 gene, in the context of cerebral stroke susceptibility to, could be connected with Notch mutations. The Notch signaling pathway regulates important cellular processes including inflammation, oxidative stress, apoptosis, and angiogenesis …”

Section: Pon1 and Diseases Connected With Atherosclerosis Developmentmentioning

confidence: 99%

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Paraoxonase 1 and atherosclerosis‐related diseases

et al. 2019

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A direct and an indirect relationship between paraoxonase 1 (PON1) and atherosclerosis exists. Given PON1's physical location within high‐density lipoprotein (HDL) particles and its recognized enzyme activity, it is certainly reasonable to suggest that PON1 facilitates the antiatherogenic nature of HDL particles. PON1 also plays a role in regulating reverse cholesterol transport, antioxidative, anti‐inflammatory, antiapoptotic, vasodilative, and antithrombotic activities and several endothelial cell functions. HDL dysfunctionality is a more recent issue and seems to be centered on pathological conditions affecting HDL structure and size profiles. This review is focused on the role of PON1 status in different atherosclerosis‐related diseases that we have studied over the last twenty years (coronary heart disease, acute ischemic stroke, diabetes mellitus type 2, end‐stage renal disease, chronic obstructive pulmonary disease, and sarcoidosis) with the aim to determine the true value of PON1 as a biomarker. The role of PON1 in cancer is also covered, as risk factors and mechanisms underlying both atherosclerosis and cancer share common features.

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Section: Pon1 and Diseases Connected With Atherosclerosis Developmentmentioning

confidence: 99%

“…The Notch signaling pathway regulates important cellular processes including inflammation, oxidative stress, apoptosis, and angiogenesis. 72…”

Section: Pon1 and Vascular Diseasesmentioning

confidence: 99%

Paraoxonase 1 and atherosclerosis‐related diseases

et al. 2019

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“…Furthermore, these activated neutrophils quickly enter the site of infarcted tissues and thereby release a variety of chemical factors, including cytokines, reactive oxygen species, and elastase. In addition, these chemical factors promote the decomposition of extracellular matrix by destroying the integrity of neurovascular units that result in vascular damage [25]. Moreover, these chemical factors also participate in the destruction of the bloodbrain barrier and the occurrence of HT [23,26].…”

Section: Discussionmentioning

confidence: 99%

Neutrophil-to-lymphocyte Ratio as a Risk Determinant of Hemorrhage Transformation in Acute Ischemic Stroke

Bilal

Shu

et al. 2020

JMN

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Objective: The purpose of this study was to investigate the clinical significance between neutrophil-to-lymphocyte ratio (NLR) and classification of non-thrombolytic hemorrhagic transformation (HT) in acute ischemic stroke (AIS), to unravel new diagnostic approach. Methods: We recruited and selected 636 patients who did not undergo thrombolytic therapy between May 2018 and April 2019 at the Affiliated Hospital of Xuzhou Medical University. The laboratory and clinical data were collected within 24 h after the onset of AIS. Based on the status of HT development during hospitalization, all participants were divided into three groups, namely, the non-HT (NHT) group, hemorrhagic infarction (HI) group, and parenchymal hematoma (PH) group. Results: Multivariate logistic regression analysis showed that NLR and the ischemic lesion diameter are independent risk factors of HI and PH, while the score of National Institutes of Health Stroke Scale (NIHSS) and cardioembolism are considered to be independent risk factors for PH only. Receiver operating characteristic (ROC) analysis determined that the optimal cutoff values of NLR in HI group and PH group were 3.75 and 3.97, respectively. The optimal cutoff value can be used as the critical value for the unfavorable outcome. Conclusion: NLR values were significantly increased and correlated with both HI and PH groups and NLR could be used as a predictor of both HI and PH.

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“…Previous studies report that PRR11 is implicated in tumor progression.However, the role and clinical application value of PRR11 in stroke is unknown [36,37]. Studies show that Notch signaling in cerebral ischemia plays a role in in ammation, oxidative stress, apoptosis, angiogenesis, synaptic plasticity and the function of blood-brain barrier [38][39][40]. Notably, Notch2 is upregulated with increased cell death shortly after cerebral ischemia injury in hippocampal areas [39].…”

Section: Discussionmentioning

confidence: 99%

Hub Genes of Stroke Identified by Weighted Gene Co-expression Network Analysis

Zhai

et al. 2020

Preprint

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BACKGROUD: Microarray-based gene expression profiling is widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) links microarray data directly to clinical traits and identifies rules for predicting pathological stage and prognosis of disease.WGCNA is useful in understandingmany biological processes. Stroke is a common disease worldwide, however, molecular mechanisms of its pathogenesis are largely unknown. The aim of this study was to construct gene co-expression networks for identification of key modules and hub genes associated with stroke pathogenesis.METHODS: Gene microarray expression profiles of stroke samples were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by the limma package in R software. WGCNA was used to construct free-scale gene co-expression networks to explore the associations between gene sets and clinical features, and to identify key modules and hub genes. Subsequently, functional enrichment analyses were performed. Further, receiver operating characteristic (ROC) curve analysis was carried out to validate expression of hub genes and literature validation was performed as well.RESULTS: A total of 11,747 most variant genes were used for co-expression network construction. Pink and yellow modules were significantly correlated to stroke pathogenesis. Functional enrichment analysis showed that the pink module was mainly involved in regulation of neuron regeneration, and repair of DNA damage.On the other hand, yellow module was mainly enriched in ion transport system dysfunction which was correlated with neuron death. A total of eight hub genes (PRR11, NEDD9, Notch2, RUNX1-IT1, ANP32A-IT1, ASTN2, SAMHD1 and STIM1) were identified and validated at transcriptional levels and through existing literature.CONCLUSION: The eight hub genes (PRR11, NEDD9, Notch2, RUNX1-IT1, ANP32A-IT1, ASTN2, SAMHD1 and STIM1) identified in the study are potentialbiomarkers and therapeutic targets for effective diagnosis and treatment of stroke.

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Notch signaling in cerebrovascular diseases (Review)

Cited by 43 publications

References 278 publications

Paraoxonase 1 and atherosclerosis‐related diseases

Paraoxonase 1 and atherosclerosis‐related diseases

Neutrophil-to-lymphocyte Ratio as a Risk Determinant of Hemorrhage Transformation in Acute Ischemic Stroke

Hub Genes of Stroke Identified by Weighted Gene Co-expression Network Analysis

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