ABSTRACT
Several studies have suggested that "cytokine storms" are significant causes of the severity of COVID-19. Controlling and inhibiting the cytokine storm in COVID-19 could prevent the spread of COVID-19 and saves patient lives. Soybean (Glycine max L.) is known to have various biological activities. This study aims to examine bioactive compounds in SSE and the effect of SSE on the ARDS rats model. A total of 25 Sprague Dawley Lipopolysaccharide-induced rats were used. Determination of serum IL-1β, IL-12, and lung TNF-α levels was performed by ELISA method. NF-κB and IFN-γ expression were determined by the qRTPCR method. IL-6 expressions were analyzed by immunohistochemistry assay. The bleeding, inflammation, and alveolus collapse score were analyzed using the HE staining method. The results showed that SSE could decrease the level of IL-1β, IL-12, TNF-α, IL-6, NF-kB, and IFN-γ and improve the bleeding, inflammation, and alveolus score in the lung. SSE could decrease the pro-inflammatory cytokines and improve lung condition in ARDS rats model. © 2023, Bogor Agricultural University. All rights reserved.
ABSTRACT
BACKGROUND: Interleukin-1 receptor antagonist (IL-1Ra) also known as Anakinra is a receptor antagonist of IL-1 especially IL-1β. IL-1β increased in infected COVID-19 patient groups. This study aimed that the IL-1Ra contained in Conditioned Medium Wharton’s Jelly Mesenchymal Stem Cells (CM-WJMSCs) has the potential to inhibit IL-1β which is one of the cytokine storms that occur in COVID patients through an in--silico approach. AIM: This study aims to determine the effect of in silico approach pro-inflammatory protein interleukin 1β (IL-1 β) and IL-1Ra protein as cytokine WJ-MSCs for potential treatment of COVID-19 disease. METHODS: 3D structure using the homology modeling method on Swiss Model web-server. Molecular docking was performed to analyze the binding mode of the IL-1β related to COVID-19 with IL-1Ra and the docking results were fixed using FireDock web-server. RESULTS: These results of the docking of proteins between IL-1β and the CM-WJMSCs component, namely IL-1Ra showed that IL-1Ra has criteria for docking on IL-1β such as the good score for QMEAN, good CscoreLB, and BS-score results, and the lowest energy obtained was −585.1 KJ/mol. It can be predicted that IL-1Ra can inhibit IL-1β which causes cytokine storms in COVID-19 patients. CONCLUSION: Based on the result, CM-WJMSC has potential treatment on the severity of COVID-19 infection. © 2022 Wahyu Widowati, Kusworini Handono, Marlina Marlina, Ika Adhani Sholihah, Diana Krisanti Jasaputra, Teresa Liliana Wargasetia, Mawar Subangkit, Ahmad Faried, Ermi Girsang, I Nyoman Lister, Chrismis Novalinda Ginting, Ita Margaretha Nainggolan, Rizal Rizal, Hanna Kusuma, Linda Chiuman.
ABSTRACT
The Covid 19 pandemic that hit Indonesia demands the physics for school course to be conducted online using a Learning Management System Supported Smartphone (LMS3). By using this application, prospective physics teachers can practice their digital literacy and strengthen cognitive abilities. This study aims to determine the correlation between digital literacy and cognitive abilities, in general and by gender, which are trained through physics for school course using LMS3. The descriptive research was conducted with survey method and involving 20 students at a university in Tasikmalaya. They are five males and fifteen females spread 18-20 years old. The instruments used in this research were digital literacy test and cognitive ability test. Both have been validated by 5 experts and have high reliability. The collected data were analyzed statistically using the Kolmogorov Smirnov test and the Pearson correlation test. The results of the normality test obtained α = 0.636 which indicates that the data is normally distributed. The correlation coefficient r = 0.626 which indicates that digital literacy and cognitive ability are strong correlated. Based on the results the digital literacy of prospective physics teachers must be adequate to support learning success, one of which is shown by cognitive abilities. © 2021 Institute of Physics Publishing. All rights reserved.
ABSTRACT
SARS-CoV-2 is a virus that causes a serious life-threatening disease known as COVID-19. Patients with COVID19 can develop acute respiratory distress syndrome (ARDS) and multiorgan failure requiring safe and effective therapy. The human Wharton's Jelly Mesenchymal Stem Cells (hWJMSCs) can act as an anti-inflammatory and regenerative properties due to their secretion such as cytokine, growth factor, antimicrobial, and chemokine. A natural way of producing the secreted proteins of a cell (secretome) is by culturing mesenchymal stem cells (MSCs) under starvation or serum deprivation condition. This research was performed to measure the level of Fibroblast Growth Factor-7 (FGF-7), antibacterial protein LL-37 (LL-37), interleukin 1 Receptor Antagonist (IL-1ra), respectively, in the secretome of hWJMSCs. The secretome levels at: non-starvation, 24-, 48-, and 72-hours starvation periods were measured using ELISA method. The hWJMSCs secreted levels of FGF-7, LL-37, and IL-1ra were 46.74 - 72.13 pg/mL, 1.70 - 4.14 ng/mL, 1.35 - 8.32 pg/mL, respectively. The longer the starvation period of cells, the higher the protein levels produced. The hWJMSCs secrete FGF-7, LL-37, IL-1ra, longer starvation periods of cells will increase secretome levels. The hWJMSCs could potentially serve as adjuvant therapy for COVID-19. © 2021 IEEE.