• Biomolecules & Therapeutics
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• 제29권3호
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• pp.273-281
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• 2021

Severe acute respiratory syndrome CoV-2 (SARS-CoV-2) is responsible for the current coronavirus disease 2019 (COVID-19) pandemic. Signaling pathways that are essential for virus production have potential as therapeutic targets against COVID-19. In this study, we investigated cellular responses in two cell lines, Vero and Calu-3, upon SARS-CoV-2 infection and evaluated the effects of pathway-specific inhibitors on virus production. SARS-CoV-2 infection induced dephosphorylation of STAT1 and STAT3, high virus production, and apoptosis in Vero cells. However, in Calu-3 cells, SARS-CoV-2 infection induced long-lasting phosphorylation of STAT1 and STAT3, low virus production, and no prominent apoptosis. Inhibitors that target STAT3 phosphorylation and dimerization reduced SARS-CoV-2 production in Calu-3 cells, but not in Vero cells. These results suggest a necessity to evaluate cellular consequences upon SARS-CoV-2 infection using various model cell lines to find out more appropriate cells recapitulating relevant responses to SARS-CoV-2 infection in vitro.

• BMB Reports
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• 제55권9호
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• pp.465-471
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• 2022

Understanding and monitoring virus-mediated infections has gained importance since the global outbreak of the coronavirus disease 2019 (COVID-19) pandemic. Studies of high-throughput omics-based immune profiling of COVID-19 patients can help manage the current pandemic and future virus-mediated pandemics. Although COVID-19 is being studied since past 2 years, detailed mechanisms of the initial induction of dynamic immune responses or the molecular mechanisms that characterize disease progression remains unclear. This study involved comprehensively collected biospecimens and longitudinal multi-omics data of 300 COVID-19 patients and 120 healthy controls, including whole genome sequencing (WGS), single-cell RNA sequencing combined with T cell receptor (TCR) and B cell receptor (BCR) sequencing (scRNA(+scTCR/BCR)-seq), bulk BCR and TCR sequencing (bulk TCR/BCR-seq), and cytokine profiling. Clinical data were also collected from hospitalized COVID-19 patients, and HLA typing, laboratory characteristics, and COVID-19 viral genome sequencing were performed during the initial diagnosis. The entire set of biospecimens and multi-omics data generated in this project can be accessed by researchers from the National Biobank of Korea with prior approval. This distribution of large-scale multi-omics data of COVID-19 patients can facilitate the understanding of biological crosstalk involved in COVID-19 infection and contribute to the development of potential methodologies for its diagnosis and treatment.

• Molecules and Cells
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• 제44권9호
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• pp.688-695
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• 2021

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has become a global health concern. Various SARS-CoV-2 vaccines have been developed and are being used for vaccination worldwide. However, no therapeutic agents against coronavirus disease 2019 (COVID-19) have been developed so far; therefore, new therapeutic agents are urgently needed. In the present study, we evaluated several hepatitis C virus direct-acting antivirals as potential candidates for drug repurposing against COVID-19. Theses include asunaprevir (a protease inhibitor), daclatasvir (an NS5A inhibitor), and sofosbuvir (an RNA polymerase inhibitor). We found that asunaprevir, but not sofosbuvir and daclatasvir, markedly inhibited SARS-CoV-2-induced cytopathic effects in Vero E6 cells. Both RNA and protein levels of SARS-CoV-2 were significantly decreased by treatment with asunaprevir. Moreover, asunaprevir profoundly decreased virion release from SARS-CoV-2-infected cells. A pseudoparticle entry assay revealed that asunaprevir blocked SARS-CoV-2 infection at the binding step of the viral life cycle. Furthermore, asunaprevir inhibited SARS-CoV-2 propagation in human lung Calu-3 cells. Collectively, we found that asunaprevir displays broad-spectrum antiviral activity and therefore might be worth developing as a new drug repurposing candidate for COVID-19.

• 동의생리병리학회지
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• 제36권5호
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• pp.155-162
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• 2022

Even after testing negative for COVID-19, some patients continue to struggle with a variety of symptoms such as fatigue, shortness of breath, gastrointestinal problems and neurological problems. The World Health Organization (WHO) defined long COVID (Post COVID-19 conditions) as "A disease occurs in individuals with a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19 with symptoms that last for at least 2 months, that cannot be explained by an alternative diagnosis." As a possible pathological mechanism of long COVID, three hypotheses are proposed: the persistence of the infectious state due to the residual virus, the persistent inflammatory response, and the autoimmune response. The main symptoms of long COVID are shortness of breath (dyspnea), abdominal pain and dyspepsia, fatigue, cognitive problems (brain fog), anosmia and dysgeusia, and chest pain, palpitations and tachycardia. In the Chinese guidelines, COVID-19 patients were divided into mild, moderate, severe, and recovery, and prescriptions with effective therapeutic effects were summarized to encourage combined treatment of chinese and western medicine. Globally, only symptomatic therapy is recommended for long COVID, but a specific treatment has not yet been proposed. Recently, morbidity code for post COVID-19 conditions was created, and it is planned to announce guidelines for long COVID treatment and management in the first half of 2023. In line with this trend, the Korean medical community needs to make efforts to prepare treatment guidelines for patients with long COVID.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.2018-2043
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• 2022

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally. The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to critical complications like multi organs failure, acute respiratory distress syndrome, etc. Therefore, to hinder the spread of COVID-19, a Computerized Doughty Predictor Framework (CDPF) is developed to yield benefits in monitoring the progression of disease from Chest CT images which will reduce the mortality rates significantly. The proposed framework CDPF employs Convolutional Neural Network (CNN) as a feature extractor to extract the features from CT images. Subsequently, the extracted features are fed into the Adaptive Dragonfly Algorithm (ADA) to extract the most significant features which will smoothly drive the diagnosing of the COVID and Non-COVID cases with the support of Doughty Learners (DL). This paper uses the publicly available SARS-CoV-2 and Github COVID CT dataset which contains 2482 and 812 CT images with two class labels COVID⁺ and COVI^-. The performance of CDPF is evaluated against existing state of art approaches, which shows the superiority of CDPF with the diagnosis accuracy of about 99.76%.

• 융합정보논문지
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• 제12권3호
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• pp.66-74
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• 2022

본 연구에서는 간호대학생의 코로나바이러스감염증-19 (Corona Virus Disease-19, COVID-19)에 대한 정보이해력, 위험인식 및 위기소통이 COVID-19 관련 예방행위에 미치는 영향을 확인하기 위해 시도되었다. 본 연구는 간호대학생 3,4학년 187명을 대상으로, 2020년 6월 25일부터 7월 3일까지 구조화된 설문지를 사용하여 자료를 수집하였고, 자료분석은 SPSS/WIN 26.0 프로그램을 이용하였다. 회귀분석 결과, 위기소통(β=0.30 p<.001), 정보이해력(β=0.29, p<.001), 위험인식(β=0.19 p=.004) 순으로 예방행위에 영향을 미치는 것으로 나타났으며, 총 모델 설명력은 27%였다. 본 연구는 간호대학생의 COVID-19 예방행위 향상을 위한 프로그램 개발시에 COVID-19와 관련하여 개인, 가족 및 사회 간의 위기사건에 대한 정보를 교환하는 소통과정을 활성화하고, 정보접근 및 이해력 수준을 향상시킴과 동시에 질병에 대한 위험인식을 높여야함을 시사하고 있다.

• The Korean Journal of Pain
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• 제35권4호
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• pp.468-474
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• 2022

Background: The new type of corona virus has a wide range of symptoms. Some people who have COVID-19 can experience long-term effects from their infection, known as post-COVID conditions. The authors aimed to investigate prolonged musculoskeletal pain as a symptom of the post-COVID-19 condition. Methods: This is a descriptive study on the patients who were diagnosed with COVID-19 in a university hospital, between March 2020 and March 2021. Patient records and an extensive questionnaire were used to obtain relevant demographic and clinical characteristics, including hospitalization history, comorbidities, smoking history, duration of the pain, the area of pain, and the presence of accompanying neuropathic symptoms. Results: Of the diagnosed patients, 501 agreed to participate in the study. Among the participants, 318 had musculoskeletal pain during COVID-19 infection, and 69 of them reported prolonged pain symptoms as part of their a post-COVID condition which could not be attributed to any other cause. The mean duration of pain was 4.38 ± 1.73 months, and the mean pain level was 7.2 ± 4.3. Neuropathic pain symptoms such as burning sensation (n = 16, 23.2%), numbness (n = 15, 21.7%), tingling (n = 10, 14.5%), stinging (n = 4, 5.8%), freezing (n = 1, 1.4%) were accompanied in patients with prolonged musculoskeletal pain. Conclusions: Patients with COVID-19 may develop prolonged musculoskeletal pain. In some patients, neuropathic pain accompanies it. Awareness of prolonged post-COVID-19 pain is crucial for its early detection and management.

• Asian Journal for Public Opinion Research
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• 제8권3호
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• pp.351-376
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• 2020

A low level of transparency and trust in the release of government information during the COVID-19 pandemic could decrease the chance of success in handling the coronavirus outbreak. This worldwide pandemic has damaged not only human health but also created an economic and social crisis. Indonesia is no exception. Unfortunately, an analysis of a mixed-method survey of 500 participants found that public perception of transparency in the government's release of COVID-19 information is still at a low level. This perceived low level of transparency generates minimum trust in the information. Only 8% of participants trust the government's information regarding the virus. Even though the Indonesian government launched an official website, www.covid19.go.id, which is intended as a primary source of valid information about COVID-19 in Indonesia, most survey participants had never used the website. However, contrary to the low levels of perceived transparency and trust, most participants said that the messages from the government are clear and easy to understand. This contradiction resulted from skepticism toward the government. Therefore, this research presents a better understanding of how the level of transparency and trust is also related to the level of skepticism of the government.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.93-102
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• 2021

The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the low-income population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.

• 아시아태평양코퍼스연구
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• 제1권1호
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• pp.1-30
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• 2020

The present study examines language used to talk about the global coronavirus pandemic during a three-month period of movement control order in Malaysia. More specifically, a corpus of online letters to the editor of a local popular national newspaper was collected during the time in which the official quarantine instruction was initiated, resulting in a total of 303 online letters written by Malaysians that were analyzed through use of corpus linguistics techniques. For this purpose, the latest version of #LancsBox 5.0 (Brezina et al., 2020) is used to analyze patterns of language surrounding the portrayal of Covid-19 and further visualizing them by use of collocation networks. Findings present 25 statistically significant collocates that share an interesting relationship in revealing what the letters are about and thus, reflecting how Malaysians perceive and receive news about the pandemic during this time. Recurring topics and expressions include describing the virus in terms of metaphorical use of language (Covid-19 does not discriminate), preparing for an economic fallout (Prihatin Economic Stimulus Package), and preference to associate Covid-19 as a pandemic (impacts of the Covid19 pandemic) rather than an outbreak (first/second/third wave of the outbreak). Implications of the study resonates with findings from Azizan et al. (2020) where constructions of positive discourse among Malaysian writers may reflect the culture and society that make up the nation.