Cancer is the leading cause of death in the world. More than 10 million people worldwide are expected to be diagnosed with cancer, a disease commonly believed to be preventable. Moringa oleifera is one of the well known as a local plant as food and health plant in Indonesia. Anticancer is one of potential treatment found in Moringa oleifera seed, leaves, and pods extracts. This study aimed to discover natural bioactivity compound from Moringa oleifera for anticancer. Niazimicin is one of bioactive compound found in Moringa oleifera reported have potent antitumor promoting activity. The bioinformatics tool used in this study were: Pubchem compound database, protein target prediction database Pharmmapper and Chemmapper, molecular docking software PyRx 0,8, ligand docking and binding site analysis with PyMOL and LigPlus software. To check for compound’s drug-likeness were applied using DruLiTo software. Based on our previous steps, we found that niazimicin interacted with glycosyltransferase via hydrogen bond and hydrophobic interactions. Niazimicin is the best Glycosiltransferase inhibitor based on binding afinity (-7,3 kcal/mol) that is more negative than existing glycosiltransferase inhibitor, such as tert-Butyl 4-(5-formyl-2-thienyl)piperazine-1-carboxylate, sialic acid and fucose. According to Lipinski's rule parameter we discover that Niazimicin is a potential anticancer drug.
Inflammation is a tissue injury that occurs due to physical trauma or microbiological substances that involve the activities of many cell types. Inflammation can be prevented using the natural medicines from Allium cepa L. Quercetin is one of the bioactive compounds found in Allium cepa L and has been reported to have anti-inflammatory activity. The natural medicines have been used to minimize non-steroidal anti-inflammatory drugs. This study aims to investigated the modeling structures and the protein receptor from quecertin in inflammation mechanism and their optimization of the effectiveness in the human body. The bioinformatics tools used in this study are the database of quercetin compounds, Pubchem and Swis Target Prediction protein prediction databases, PyRx 0.8 molecular docking software, ligand docking, and binding site analysis with PyMOL and LigPlus software. The results from in silico show that quercetin compounds can interact with Muscleblind-like protein 1 target protein with a Binding Affinity minus value which is not much different from the dexamethasone compound. Dexamethason is a standart because it is a corticosteroid drug that can be used as an anti-inflammatory to reduce inflammation, allergic reactions, arthritis and other inflammatory diseases.
BACKGROUND High carbon dioxide (CO2) level from indoor environments, such as classrooms and offices, might cause sick building syndrome. Excessive indoor CO2 level increases CO2 level in the blood, and over-accumulation of CO2 induces an adaptive response that requires modulation of gene expression. This study aimed to investigate the adaptive transcriptional response toward hypoxia and oxidative stress in human peripheral blood mononuclear cells (PBMCs) exposed to elevated CO2 level in vitro and its association with cell viability. METHODS PBMCs were treated in 5% CO2 and 15% CO2, representatives a high CO₂ level condition for 24 and 48 hours. Extracellular pH (pHe) was measured with a pH meter. The levels of reactive oxygen species were determined by measuring superoxide and hydrogen peroxide with dihydroethidium and dichlorofluorescin-diacetate assay. The mRNA expression levels of hypoxia-inducible factor (HIF)-1α, HIF-2α, nuclear factor (NF)-κB, and manganese superoxide dismutase (MnSOD) were analyzed using a real-time reverse transcriptase-polymerase chain reaction (qRT-PCR). Cell survival was determined by measuring cell viability. RESULTS pHe increased in 24 hours after 15% CO₂ treatment, and then decreased in 48 hours. Superoxide and hydrogen peroxide levels increased after the 24- and 48-hour of high CO₂ level condition. The expression levels of NF-κB, MnSOD, HIF-1α, and HIF-2α decreased in 24 hours and increased in 48 hours. The increased antioxidant mRNA expression in 48 hours showed that the PBMCs were responsive under high CO2 conditions. Elevated CO2 suppressed cell viability significantly in 48 hours. CONCLUSIONS After 48 hours of high CO₂ level condition, PBMCs showed an upregulation in genes related to hypoxia and oxidative stress to overcome the effects of CO2 elevation.
Venous thromboembolism (VTE) is a serious complication that can occur during and after postoperative treatment, including in treatment after orthopedic surgery. The current guidelines for VTE prophylaxis in postoperative patients recommend the use of LMWHs, one of which is enoxaparin. Another recommendation for use in pharmacological VTE prophylaxis is rivaroxaban, which has better efficacy than enoxaparin but a higher bleeding risk. The aim of this systematic review is to provide an update on the profile of rivaroxaban for VTE prophylaxis after orthopedic surgery. PubMed, SCOPUS, EMBASE, and EBSCOhost were searched up until May 2022. The outcome sought was efficacy and safety, described by the incidence of VTE and incidence of bleeding, respectively. Five randomized controlled trials (RCT) were finally included. Rivaroxaban was confirmed to have better efficacy by significantly reducing the risk of VTE and all-cause mortality (RR = 0.38; 95% CI = 0.27–0.54) compared to enoxaparin. However, regarding the safety variable, no significant difference was found between the incidence of major bleeding in rivaroxaban and enoxaparin (RR = 0.97; 95% CI = 0.56–1.68). The results of the analysis show that rivaroxaban has better efficacy than enoxaparin but the same safety profile, so when used, the bleeding of patients should still be monitored.
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