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Label-free quantitation of the changes in salivary proteome associated with the chronic consumption of the betel nut (Areca catechu).

Munazza Raza MirzaRabia SultanMouhamat Iqbal ChoudharyMuhammad TahirMartin Røssel LarsenSaria TariqSaeed Ur Rahman
Published in: Molecular omics (2021)
Areca nut or betel nut chewing is most frequently used in Pakistan and is associated with a high risk for oral cancer. Until now, however, there has not been any research conducted on the long-term effect(s) of betel nut chewing on the saliva proteome. In the present study, initially, the changes in the saliva proteome associated with betel nut chewing were investigated. Secondly, the analysis was focused on the changes in salivary proteome with respect to prolonged usage of betel nuts. After extraction, the saliva proteins were digested into peptides and these were subsequently analyzed using mass spectrometry. Data are available via ProteomeXchange with identifier PXD029768. Label-free quantitation of saliva samples revealed a total of 12 proteins that were differentially expressed between betel nut addicts (BNAs), and the control group. The study groups were further divided into three subgroups, the BNA-1, BNA-2, and BNA-3 groups, with respect to the extent of consumption of betel nuts in terms of years. The data analysis revealed a more detailed profiling of proteins expressed after five, ten, and more than ten years of betel nut consumption. A total of 30, 17, and 22 proteins were found to be differentially expressed when divided into the BNA-1, BNA-2, and BNA-3 groups. The present study shows that the chronic usage of betel nuts leads to the expression of proteins, such as SPARC1, profilin, and SBSN, which are known to be involved in head and neck cancers.
Keyphrases
  • big data
  • machine learning
  • label free
  • mass spectrometry
  • data analysis
  • ms ms
  • liquid chromatography
  • single cell
  • poor prognosis
  • long non coding rna
  • amino acid
  • drug induced