الملخص
Abstract Introduction: This study investigated the correlation between the levels of long noncoding ribonucleic acids (lncRNAs) AF131217.1 and coronary slow flow (CSF). Methods: A total of 22 patients in the high-sensitivity C-reactive protein (hsCRP) group diagnosed with CSF from January 2018 to December 2018 were enrolled in this study. Coronary flow velocity was determined using the thrombolysis in myocardial infarction frame count (TFC) method. Results: LncRNA AF131217.1 expression in the CSF model was activated. Mean TFC was positively correlated with lncRNA AF131217.1 levels and hsCRP levels. LncRNA AF131217.1 induced inflammation factor levels in the in vitro model. Micro ribonucleic acid (miR)-128-3p is a target spot of lncRNA AF131217.1 on the inflammation in vitro model via Kruppel-like factor (KLF) 4. MiR-128-3p reduced inflammation factor levels (tumor necrosis factor alpha, interleukin [IL]-6, IL-1β, and IL-18). Conclusion: Thus, lncRNA AF131217.1 promoted inflammation in the regulated CSF via KLF4 by miR-128-3p.
الملخص
Response surface methodology was used to optimize the fermentation conditions for the production of pristinamycin by immobilization of Streptomyces pristinaespiralis F213 in shaking flask cultivation. Seed medium volume, fermentation medium volume and shaking speed of seed culture were found to have significant effects on pristinamycin production by the Plackett-Burman design. The steepest ascent method was adopted to approach the vicinity of optimum space, followed by central composite design for further optimization. A quadratic model was built to fit the pristinamycin production. The optimum conditions were found to be seed medium volume of 29.5 ml, fermentation medium volume of 28.8 ml, and shaking speed of seed culture at 204 rpm. At the optimum conditions, a production of 213 mg/l was obtained, which was in agreement with the maximum predicted pristinamycin yield of 209 mg/l. This is the first report on pristinamycins production by immobilized S. pristinaespiralis using response surface methodology.