Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/560358
Title: Enhanced Production of Uricase Using Potential Isolates through Multi Level Statistical Optimization
Researcher: DUDALA SAI SUSHMA
Guide(s): D. JOHN BABU
Keywords: Life Sciences
Immunology
University: Vignans Foundation for Science Technology and Research
Completed Date: 2024
Abstract: Background: Monitoring and maintenance of uric acid levels in human body is very essential as accumulation beyond its solubility threshold in the human body can lead to hyperuricemia, a condition associated with various health disorders such as gout, nephrolithiasis, type 2 diabetes, cardiovascular disease, and tumor lysis syndrome. Gout cases are increasing globally, affecting approximately 51 million people according to recent WHO reports. Uric acid serves as a biomarker for diseases including COVID-19, and monitoring its levels is crucial to prevent adverse events such as cardiac arrest, especially in individuals undergoing chemotherapy or suffering from autoimmune diseases. newlineUricase, also known as urate oxidase, plays a vital role in metabolizing uric acid. While humans lack functional uricase due to evolutionary mutations, various animals, bacteria, plants, and fungi produce uricase, enabling the breakdown of uric acid into more soluble compounds like allantoin. Uricase is utilized in treating hyperuricemia and serves as a diagnostic tool for measuring uric acid levels in biological samples. Additionally, its oxidative properties find application in hair dyeing products. The increasing demand for uricase across various industries highlights the necessity for its commercial production. Efficient monitoring and utilization of uricase hold promise in managing hyperuricemia-related disorders and improving overall health outcomes. newlineAim: The focus of this study is to primarily isolate uricase producers from canal water, and to enhance the effectiveness of uricase by increasing its activity through optimization thereby allowing even small amounts of the uricase to be beneficial. newlineMethods: Two potential isolates were selected and identified by 16S rRNA sequencing and named as Escherichia marmotae strain DJDSS001, Pseudomonas mosselii strain DSS002. For these two strains, initial optimization studies were carried out using one-factor at a time method. The results indicate a significant increase in newlinexiii uricase activity
Pagination: 163
URI: http://hdl.handle.net/10603/560358
Appears in Departments:Department of Biotechnology

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01_title.pdfAttached File174.42 kBAdobe PDFView/Open
02_prelim oages.pdf192.65 kBAdobe PDFView/Open
03_content.pdf255.88 kBAdobe PDFView/Open
04_abstract.pdf170.06 kBAdobe PDFView/Open
05_chapter-1.pdf715.25 kBAdobe PDFView/Open
06_chapter-2.pdf230.15 kBAdobe PDFView/Open
07_chapter-3.pdf613.45 kBAdobe PDFView/Open
08-chapter-4.pdf2.17 MBAdobe PDFView/Open
09_chapter-5.pdf337.38 kBAdobe PDFView/Open
10_chapter-6.pdf167.06 kBAdobe PDFView/Open
11_annexure.pdf657.92 kBAdobe PDFView/Open
80_recommendation.pdf509.57 kBAdobe PDFView/Open
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