• Journal of Life Science
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• v.31 no.6
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• pp.581-586
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• 2021

The high fatality of COVID-19 (Corona Virus Disease 2019) is closely related to acute pneumonia and severe blood clot formation in brain, heart, kidney and lung. The use of low-molecular weight heparins has been shown to reduce the risk of thrombosis and reduce fatality rates among COVID-19 patients. In this study, we investigated the antithrombotic activity of different parts of C. sativa extracts to determine its potential in preventing blood clots in patients with thromboprophylaxis. The extracts of leaf, stem, root, immature flower and seed of C. sativa showed strong inhibitory activities on blood clot formation. In particular, the flower extract showed the strongest inhibitions against blood coagulation factors and thrombin. Strong hemolysis activities were observed in flower extract and seed extract, suggested that removal of the hemolysis active compounds in th extracts is necessary. This is a first report of anti-thrombosis activities of different parts of C. sativa extracts, and our results suggest that C. sativa extract has potential has a valuable bioresource for high-value products.

• Journal of Ginseng Research
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• v.46 no.2
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• pp.175-182
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• 2022

Coronavirus disease 2019 (COVID-19) not only targets the respiratory system but also triggers a cytokine storm and a series of complications, such as gastrointestinal problems, acute kidney injury, and myocardial ischemia. The use of natural products has been utilized to ease the symptoms of COVID-19, and in some cases, to strengthen the immune system against COVID-19. Natural products are readily available and have been regularly consumed for various health benefits. COVID-19 has been reported to be associated with the risk of thromboembolism and deep vein thrombosis. These thrombotic complications often affects mortality and morbidity. Panax ginseng, which has been widely consumed for its various health benefits has also been reported for its therapeutic effects against cardiovascular disease, thrombosis and platelet aggregation. In this review, we propose that P. ginseng can be consumed as a supplementation against the various associated complications of COVID-19, especially against thrombosis. We utilized the network pharmacology approach to validate the potential therapeutic properties of P. ginseng against COVID-19 mediated thrombosis, the coagulation pathway and platelet aggregation. Additionally, we aimed to investigate the roles of P. ginseng against COVID-19 with the involvement of platelet-leukocyte aggregates in relation to immunity-related responses in COVID-19.

• Journal of the Korean Society of Radiology
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• v.82 no.5
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• pp.1274-1280
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• 2021

Acute necrotizing encephalopathy (ANE) is a rare but distinctive type of influenza-associated encephalopathy characterized by symmetric multiple lesions with an invariable thalamic involvement. Although the exact pathogenesis of ANE remains unclear, the most prevalent hypothesis is the "cytokine storm," which results in blood-brain-barrier breakdown. We present the case of a 10-year-old boy with fulminant ANE confirmed with serial MRI studies, including diffusion-weighted imaging and susceptibility-weighted imaging. A comparison of these serial images demonstrated detailed and longitudinal changes in MRI findings during the clinical course corresponding to pathophysiological changes. Our case clarifies the pathogenesis of ANE brain lesions using serial imaging studies and suggests that early immunomodulatory therapy reduces brain damage.

• BMB Reports
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• v.53 no.8
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• pp.400-412
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• 2020

The world has witnessed unimaginable damage from the coronavirus disease-19 (COVID-19) pandemic. Because the pandemic is growing rapidly, it is important to consider diverse treatment options to effectively treat people worldwide. Since the immune system is at the hub of the infection, it is essential to regulate the dynamic balance in order to prevent the overexaggerated immune responses that subsequently result in multiorgan damage. The use of stem cells as treatment options has gained tremendous momentum in the past decade. The revolutionary measures in science have brought to the world mesenchymal stem cells (MSCs) and MSC-derived exosomes (MSC-Exo) as therapeutic opportunities for various diseases. The MSCs and MSC-Exos have immunomodulatory functions; they can be used as therapy to strike a balance in the immune cells of patients with COVID-19. In this review, we discuss the basics of the cytokine storm in COVID-19, MSCs, and MSC-derived exosomes and the potential and stem-cell-based ongoing clinical trials for COVID-19.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.155-174
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• 2022

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (