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Evaluation of Cells and Medium Optimization for Invitro Model of Diabetic and Electrolyte Imbalance
Metabolism syndrome has many negative impacts on human health. Various efforts and methods are attempted in the treatment of this disease. One of the methods used is CRISPR/Cas9 gene therapy. Re-testing of knock out cells using the CRISPR/Cas9 method is needed to evaluate its success. In conducting...
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Main Authors: | , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Metabolism syndrome has many negative impacts on human health. Various efforts and methods are attempted in the treatment of this disease. One of the methods used is CRISPR/Cas9 gene therapy. Re-testing of knock out cells using the CRISPR/Cas9 method is needed to evaluate its success. In conducting the test, the right medium is needed so that the results are optimal and can be evaluated properly. In this study, we optimized the medium for three types of cells (fibroblasts, myoblasts and macrophages) in high and low glucose medium to evaluate gene knockout results. The medium was modified by adding high concentrations of glucose and sodium. The results, in macrophage culture, giving variations in glucose concentration in low glucose medium gave a significantly different percentage of live cells between treatments, while the treatment with variations in glucose concentration in macrophages in high glucose medium and fibroblasts and myoblasts in high and low glucose medium did not show any difference in the percentage of living cells. In the treatment of various concentrations of natrium, macrophages, fibroblasts and myoblasts on high and low glucose medium all showed significantly different percentages of living cells. Therefore, DMEM low glucose medium is suitable as a medium for the treatment of high glucose and natrium induction in macrophage cells, but is not suitable for fibroblast and myoblast cells. |
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ISSN: | 2117-4458 2273-1709 2117-4458 |
DOI: | 10.1051/bioconf/20214105003 |