Back to Search
Start Over
Quantitative Proteomic Analysis Reveals CaffeineāPerturbed Proteomic Profiles in Normal Bladder Epithelial Cells
- Source :
- PROTEOMICS. 18:1800190
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- Lower urinary tract symptoms (LUTSs) are highly prevalent among the elderly and negatively impact quality of life. Since caffeinated beverages are enjoyed worldwide and the relationship between LUTS and caffeine is still not fully understood, it would be of particular interest to examine the underlying mechanisms that drive caffeine's influence on LUTS development and progression. The aim of this study is to characterize the effects of caffeine on hTert-immortalized normal bladder epithelial cells by investigating whether exposure to caffeine can cause potential changes in the bladder proteome and/or biological pathways. In labeled LC-MS/MS proteomic analysis, 57 proteins are found as being differentially expressed in caffeine-treated bladder epithelial cells, compared to controls; this included 32 upregulated and 25 downregulated proteins. Further functional gene enrichment analysis reveals that caffeine affects major biological pathways, including those for "muscle contraction" and "chromatin assembly." These findings provide new scientific insights that may be useful in future studies investigating the role of caffeine in bladder dysfunctions.
- Subjects :
- 0301 basic medicine
Proteome
Urinary Bladder
Functional genes
Biology
Biochemistry
Article
Biological pathway
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Downregulation and upregulation
Tandem Mass Spectrometry
Lower urinary tract symptoms
Caffeine
medicine
Humans
Molecular Biology
Cells, Cultured
Neurogenic bladder dysfunction
Epithelial Cells
medicine.disease
030104 developmental biology
chemistry
030220 oncology & carcinogenesis
Cancer research
Normal bladder
Central Nervous System Stimulants
Chromatography, Liquid
Subjects
Details
- ISSN :
- 16159861 and 16159853
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- PROTEOMICS
- Accession number :
- edsair.doi.dedup.....ad59a1001140249844230179596aa713
- Full Text :
- https://doi.org/10.1002/pmic.201800190