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University of Ontario Institute of Technology

Using non-targeted mass spectrometry to identify proteomic, metabolomic and lipidomic profiles in saliva to compare the impact of prolonged vs. interrupted sitting

Abstract

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.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Applied Bioscience
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chauhan, Mohammed Faiz
Advisor dc:contributor.advisor
  • Simmons, Denina

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1820
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1820

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Chauhan, Mohammed Faiz. Using non-targeted mass spectrometry to identify proteomic, metabolomic and lipidomic profiles in saliva to compare the impact of prolonged vs. interrupted sitting. University of Ontario Institute of Technology, 2024. https://hdl.handle.net/10155/1820