{"id":517,"date":"2023-05-06T03:45:45","date_gmt":"2023-05-06T03:45:45","guid":{"rendered":"http:\/\/src.cikeys.com\/2023\/?page_id=517"},"modified":"2023-05-06T04:08:07","modified_gmt":"2023-05-06T04:08:07","slug":"the-lifesmile-pro-lamp-crispr-can-be-assessed-with-two-cancer-risk-bacterial-targets-fusobacterium-nucleatum-and-a-bacteriocidin-enzyme-immunoassay-in-a-home-testing-device","status":"publish","type":"page","link":"https:\/\/src.cikeys.com\/2023\/conference-schedule\/poster-presentations-session-2\/the-lifesmile-pro-lamp-crispr-can-be-assessed-with-two-cancer-risk-bacterial-targets-fusobacterium-nucleatum-and-a-bacteriocidin-enzyme-immunoassay-in-a-home-testing-device\/","title":{"rendered":"The Lifesmile Pro, LAMP-CRISPR can be Assessed with Two Cancer Risk Bacterial Targets, Fusobacterium Nucleatum and a Bacteriocidin Enzyme Immunoassay in a Home Testing Device"},"content":{"rendered":"\n

Laura Carmona, Kaylin Choe, Miranda Escobedo, Wendy Contreras, Melvin Soriano, Rhianna Lee, Jasmine Rosales, Kamille Romero, Raizel Ferrer, Vanessa Wong, Brandon Lyons, & Dr. James Harber – CSU Northridge & Oxnard College<\/em><\/h2>\n\n\n\n\n\n\n\n
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Abstract<\/h3>\n\n\n\n

Lifesmile pro is intended to build responsive knowledge to medical industries, integrating relevance of oral Microbiome diagnostic testing for the determination of pathogenic commensals, with CRISPR-Cas12a. We hypothesized gender differences could be detected amongst seven categories of bacteria corresponding to the \u201cmicrobiome detectable diseases\u201d. A simple classroom exercise to extract samples of tooth microbiome from 12 individuals using a DNA toothbrush could identify a significant number of the most common higher risk bacteria present in the oral cavity. Plaque biofilm samples were extracted from five male, seven female for Illumina Next Generation Sequencing enhancement. We isolated the bacterial DNA, quantified it with a nanodrop spectrophotometer, and verified the DNA integrity by PCR with 16S primers 341F and 806R. The DNA samples were then sent to Mr. DNA Lab for Illumina MiSeq analysis to identify the individual oral microbiomes, to reveal the name and abundance of the bacterial species per sample. The dataset was reduced to 53 bacterial species each representing 1% of the total population were extracted into a dataset and analyzed for the seven \u201cmicrobiome detectable diseases.\u201d Every individual contained unique quantities of bacterial species belonging to disease conditions. In females, Fusobacterium nucleatum was the most abundant bacteria associated with preterm labor and GI cancer. The other six microbiome detectable diseases also correlated to specific bacteria indicators. Furthermore, Streptococcus sanguinis was used as a control because it is beneficial even at high quantities. Showing us Streptococcus sanguisn is related to lacotoccus lactis, which produces nisin, a bacteriocidin EIA. This learning tool can be further utilized incorporating additional investigation into probiotic bacterial strains in oral microbes that may contribute to preventative care. <\/p>\n<\/div>\n\n\n\n

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Details<\/h3>\n\n\n\n

Session 2<\/strong><\/p>\n\n\n\n

3:00pm \u2013 4:30pm<\/strong><\/p>\n\n\n\n

Grand Salon<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

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