Enhanced Production of Uricase Using Potential Isolates through Multi Level Statistical Optimization

dc.contributor.guideD. JOHN BABU
dc.coverage.spatial
dc.creator.researcherDUDALA SAI SUSHMA
dc.date.accessioned2024-04-24T12:54:40Z
dc.date.available2024-04-24T12:54:40Z
dc.date.awarded2024
dc.date.completed2024
dc.date.registered2019
dc.description.abstractBackground: 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
dc.description.note
dc.format.accompanyingmaterialCD
dc.format.dimensions
dc.format.extent163
dc.identifier.urihttp://hdl.handle.net/10603/560358
dc.languageEnglish
dc.publisher.institutionDepartment of Biotechnology
dc.publisher.placeGuntur
dc.publisher.universityVignans Foundation for Science Technology and Research
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordLife Sciences
dc.subject.keywordImmunology
dc.titleEnhanced Production of Uricase Using Potential Isolates through Multi Level Statistical Optimization
dc.title.alternative
dc.type.degreePh.D.

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