Using non-targeted mass spectrometry to identify proteomic, metabolomic and lipidomic profiles in saliva to compare the impact of prolonged vs. interrupted sitting
dc.contributor.advisor | Simmons, Denina | |
dc.contributor.author | Chauhan, Mohammed Faiz | |
dc.date.accessioned | 2024-08-27T15:29:24Z | |
dc.date.available | 2024-08-27T15:29:24Z | |
dc.date.issued | 2024-08-01 | |
dc.degree.discipline | Applied Bioscience | |
dc.degree.level | Master of Science (MSc) | |
dc.description.abstract | Traditional sedentary physiology research focuses on targeted approaches. To explore from a new perspective, a non-targeted approach with the use of Liquid Chromatography-Mass Spectrometry (LC-MS) to assess the responsiveness of proteins and metabolites in saliva to sedentarism was employed. The study involved 24 participants that engaged in both a prolonged sitting session and an interrupted sitting session, in a randomized order. Saliva samples were collected before and after each session, including a separate baseline. Samples were purified and concentrated then analyzed on the LC-MS. A total of 2493 proteins, 17 lipids, and 11 biogenic amines were detected. 2112 proteins were significantly differentially abundant among the different session sample groups. In conclusion, prolonged sedentary behaviour of 4 hours led to a range of molecular responses that were observed through changes in the relative abundances of proteins and lipids. The results were complex and suggestive of several indicators of health deterioration. | |
dc.description.sponsorship | University of Ontario Institute of Technology | |
dc.identifier.uri | https://hdl.handle.net/10155/1820 | |
dc.language.iso | en | |
dc.subject.other | Multi-omics | |
dc.subject.other | Human | |
dc.subject.other | Saliva | |
dc.subject.other | Sedentarism | |
dc.title | Using non-targeted mass spectrometry to identify proteomic, metabolomic and lipidomic profiles in saliva to compare the impact of prolonged vs. interrupted sitting | |
dc.type | Thesis | |
thesis.degree.discipline | Applied Bioscience | |
thesis.degree.grantor | University of Ontario Institute of Technology | |
thesis.degree.name | Master of Science (MSc) |