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All Journal Nexus Kedokteran Komunitas Nexus Kedokteran Translasional
R AJ Sri Wulandari
Sebelas Maret University
Medicine & Pharmacology

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The Relationship between Amount of Computer Usage and Computer Vision Syndrome in Sinarmas Bank Employees Monica Fradisha Zukhri; R AJ Sri Wulandari; Amelya Augusthina Ayusari
Nexus Kedokteran Komunitas Vol 6, No 1 (2017): Nexus Kedokteran Komunitas
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Background: Nowadays, in this technological era, prolonged uses of computer could result in increasing incidence rate of computer vision syndrome, particularly to people who work at computers. Computer vision syndrome is a complex ocular problems that translates to discomfort feeling on eyes due to high visual demands of computer viewing. Hence, this study aim to know the relationship between amount of computer usage and computer vision syndrome. Methods: An analytical observational cross sectional study was conducted involving Sinarmas Bank employees. Subjects were collected using purposive sampling method, based on inclusive and exclusive criteria. Data regarding computer vision syndrome were obtained using a questionnaire. The collected data were analyzed with Chi-square test followed by Coefficient Contingency test. Result: This study revealed that 29 subjects (46.0 %) who used computer for more than 4 hours experienced computer vision syndrome, while subjects who used computer for 2-4 hours and less than 2 hours did not show computer vision syndrome. Significance value of the relationship between amount of computer usage and computer vision syndrome in Sinarmas Bank employees shown by Chi square test was p=0.000. Hence, there was significant association between the variables. Coefficient contingency test result also demonstrated that there was a strong association between amount of computer usage and computer vision syndrome in Sinarmas Bank employees (c=0.707). Conclusion: This study statistically stated that there is a significant relationship between amount of computer usage and computer vision syndrome in Sinarmas Bank employees. Keywords: Computer Vision Syndrome, Amount of Computer Usage.
Screening of Indonesian Pythochemicals as Glucagon-Like Peptide-1 Receptor Agonist In Silico in Type-2 Diabetes Mellitus Humamuddin .; R Aj Sri Wulandari; Yuliana Heri Suselo
Nexus Kedokteran Translasional Vol 6, No 1 (2017): Nexus Kedokteran Translasional
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Background: Prevalence of diabetes mellitus (DM) continues to rise in the world, while DM therapy using oral antidiabetic drug (OAD) was still not effective. GLP-1R agonist was a drug that has been developed because it can lower blood sugar levels without hypoglycemic effect. However, GLP-1R agonists have severe side effects such as pancreatitis, thyroid cancer, and pancreatic cancer. Indonesia has 9,600 herbal plants, some of which have a pharmacological effect that could potentially be developed as a drug. This study aimed to identify the Indonesian pythochemicals that have activity as GLP-1R agonist in silico. Methods: The research was a bioinformatics study which utilized all phytochemicals in HerbalDB that had PubChem access code and met the criteria for Lipinski's rule of five as sample. Truncated Exendin-4 was used as standard compound. The structure of Exendin-4 bound to GLP-1R was obtained from the Protein Data Bank, code: 3C5T. Validation of truncated Exendin-4 with GLP-1R needed to get docking scores and binding site at GLP-1R. Molecular docking between phytochemical compounds with GLP-1R models was done using AutodockVina 1.1.2. Visualization of docking results was done using PyMOL 1.7.4. GLP-1R agonist candidates were analyzed based on binding affinity, binding site similarity, and Lipinski's rule of five criterias. Results: Weighteone and Eupatorin were two selected phytochemicals of the most potentially be GLP-1R agonist based on analysis of docking scores and binding site similarity with truncated Exendin-4. Weighteone and Eupatorin bound to Glu68, Glu127, and Glu128 of GLP-1R. Weighteone had docking scores of -5.12 kcal/mol, -6.22 kcal/mol, and -3.88 kcal/mol lower than truncated Exendin-4. Eupatorin had docking scores of -5.02 kcal/mol, -6 kcal/mol, and -3.58 kcal/mol lower than truncated Exendin-4. Conclusion: Weighteone and Eupatorin were the potential Indonesian phytochemicals that could be a GLP-1R agonist in silico. Future studies using Molecular Dynamics Simulation (MDS) method is required to validate this result. In vitro studies are also needed to evaluate these phytochemicals activity as GLP-1R agonists. Keywords: GLP-1R agonists, Indonesian phytochemicals, molecular docking, diabetes mellitus.
Co-Authors Amelya Augusthina Ayusari Humamuddin . Monica Fradisha Zukhri Yuliana Heri Suselo