scholarly journals Discovering Cerebral Ischemic Stroke Associated Genes Based on Network Representation Learning

2021 ◽  
Vol 12 ◽  
Author(s):  
Haijie Liu ◽  
Liping Hou ◽  
Shanhu Xu ◽  
He Li ◽  
Xiuju Chen ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Complex Disease ◽  
Representation Learning ◽  
Support Vector ◽  
Svm Classifier ◽  
Ppi Network ◽  
Network Representation ◽  
Cerebral Ischemic Stroke ◽  
Disease Related Genes ◽  
Cerebral Ischemic

Cerebral ischemic stroke (IS) is a complex disease caused by multiple factors including vascular risk factors, genetic factors, and environment factors, which accentuates the difficulty in discovering corresponding disease-related genes. Identifying the genes associated with IS is critical for understanding the biological mechanism of IS, which would be significantly beneficial to the diagnosis and clinical treatment of cerebral IS. However, existing methods to predict IS-related genes are mainly based on the hypothesis of guilt-by-association (GBA). These methods cannot capture the global structure information of the whole protein–protein interaction (PPI) network. Inspired by the success of network representation learning (NRL) in the field of network analysis, we apply NRL to the discovery of disease-related genes and launch the framework to identify the disease-related genes of cerebral IS. The utilized framework contains three main parts: capturing the topological information of the PPI network with NRL, denoising the gene feature with the participation of a stacked autoencoder (SAE), and optimizing a support vector machine (SVM) classifier to identify IS-related genes. Superior to the existing methods on IS-related gene prediction, our framework presents more accurate results. The case study also shows that the proposed method can identify IS-related genes.

scholarly journals A Novel Method for Screening the Effective Compatibility Fractions of Naomaitong for the Treatment of Cerebral Ischemic Stroke Using Support Vector Machine Model

2020 ◽  
Author(s):  
Huanzheng Yu ◽  
Qiu Liu ◽  
Huiting Zheng ◽  
Minghua Xian ◽  
Shengwang Liang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Ischemic Stroke ◽  
Reperfusion Injury ◽  
Ischemia Reperfusion Injury ◽  
Ischemia Reperfusion ◽  
Support Vector ◽  
Cerebral Ischemia Reperfusion ◽  
Cerebral Ischemia Reperfusion Injury ◽  
Cerebral Ischemic Stroke ◽  
Cerebral Ischemic

Abstract Background: Screening the fractions of traditional Chinese medicine (TCM) medications effective against a disease without affecting their compatibility is a major challenge. Therefore, the goal of the present study was to establish a novel methodology for screening the bioactive fractions of Naomaitong (NMT) utilizing the Support Vector Machine (SVM) model. Methods: The extract of NMT was separated into 21 fractions using macroporous resin. The different combinations of elution fractions were selected using the Plackett-Burman method and used as an input value for SVM. Infarct size in the rat model of cerebral ischemia-reperfusion injury and the content of selected compounds measured by HPLC were used as output vectors of the SVM training set. Based on the SVM target model, the optimal combination of elution fractions was predicted and verified in the rat model of ischemia-reperfusion injury. Results: The effective compatibility of NMT was screened by SVM simulation: all elution fractions of rhubarb, 30%, 60%, and 95% ethanol elution fractions of ginseng, and 30% and 60% ethanol elution fractions of puerarin and chuanxiong. The optimization of compatibility fractions of NMT was found to have the same protective efficacy in cerebral ischemia-reperfusion injury in rats. Conclusions: The performed analysis established a novel SVM-based method for screening the compatibility fractions of NMT effective against cerebral ischemic stroke injury. The results provide a new methodology for the optimization of the compatibility of TCM compounds and the discovery of effective components.

Irisin Ameliorates Hypoxia/Reoxygenation-Induced Inflammation and Apoptosis in PC12 Cells by Inhibiting TLR4/MYD88 Signaling Pathway

2019 ◽  
Vol 17 (3) ◽  
pp. 329-336
Author(s):  
Wang Jinli ◽  
Xu Fenfen ◽  
Zheng Yuan ◽  
Cheng Xu ◽  
Zhang Piaopiao ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Signaling Pathway ◽  
Pc12 Cells ◽  
Major Complication ◽  
Lactic Dehydrogenase ◽  
Dependent Manner ◽  
Cerebral Ischemic Stroke ◽  
Cerebral Ischemic ◽  
Myd88 Signaling ◽  
Hypoxia Reoxygenation

Cardiovascular disease including cerebral ischemic stroke is the major complication that increases the morbidity and mortality in patients with diabetes mellitus as much as four times. It has been well established that irisin, with its ability to regulate glucose and lipid homeostasis as well as anti-inflammatory and anti-apoptotic properties, has been widely examined for its therapeutic potentials in managing metabolic disorders. However, the mechanism of irisin in the regulation of cerebral ischemic stroke remains unclear. Using PC12 cells as a model, we have shown that hypoxia/reoxygenation inhibits cell viability and increases lactic dehydrogenase. Irisin, in a dose-dependent manner, reversed these changes. The increase in inflammatory mediators (IL-1β, IL-6, and TNF-α) by hypoxia/reoxygenation was reversed by irisin. Furthermore, the cell apoptosis promoted by hypoxia/reoxygenation was also inhibited by irisin. Irisin suppressed TLR4/MyD88 signaling pathway leading to amelioration of inflammation and apoptosis in PC12 cells. Thus, inhibition of TLR4/MyD88 signaling pathway via irisin could be an important mechanism in the regulation of hypoxia/reoxygenation-induced inflammation and apoptosis in PC12 cells.

T Cells and Cerebral Ischemic Stroke

2015 ◽  
Vol 40 (9) ◽  
pp. 1786-1791 ◽  
Author(s):  
Lijuan Gu ◽  
Zhihong Jian ◽  
Creed Stary ◽  
Xiaoxing Xiong
Keyword(s):  
T Cells ◽  
Ischemic Stroke ◽  
Cerebral Ischemic Stroke ◽  
Cerebral Ischemic

scholarly journals Insight Into the Mechanisms and the Challenges on Stem Cell-Based Therapies for Cerebral Ischemic Stroke

2021 ◽  
Vol 15 ◽  
Author(s):  
Huiyong Liu ◽  
Sydney Reiter ◽  
Xiangyue Zhou ◽  
Hanmin Chen ◽  
Yibo Ou ◽  
...  
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Ischemic Stroke ◽  
Potential Effect ◽  
Therapeutic Window ◽  
Ethical Challenges ◽  
Stroke Treatment ◽  
Lesion Core ◽  
Cerebral Ischemic Stroke ◽  
Cerebral Ischemic

Strokes are the most common types of cerebrovascular disease and remain a major cause of death and disability worldwide. Cerebral ischemic stroke is caused by a reduction in blood flow to the brain. In this disease, two major zones of injury are identified: the lesion core, in which cells rapidly progress toward death, and the ischemic penumbra (surrounding the lesion core), which is defined as hypoperfusion tissue where cells may remain viable and can be repaired. Two methods that are approved by the Food and Drug Administration (FDA) include intravenous thrombolytic therapy and endovascular thrombectomy, however, the narrow therapeutic window poses a limitation, and therefore a low percentage of stroke patients actually receive these treatments. Developments in stem cell therapy have introduced renewed hope to patients with ischemic stroke due to its potential effect for reversing the neurological sequelae. Over the last few decades, animal tests and clinical trials have been used to treat ischemic stroke experimentally with various types of stem cells. However, several technical and ethical challenges must be overcome before stem cells can become a choice for the treatment of stroke. In this review, we summarize the mechanisms, processes, and challenges of using stem cells in stroke treatment. We also discuss new developing trends in this field.

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